Presentation type:
SSS – Soil System Sciences

EGU26-12853 | Orals | MAL13-SSS | Alina Kabata-Pendias Medal Lecture

Relevance of cryptogamic communities in Earth system processes under the impact of global change 

Bettina Weber

Cryptogamic communities (CC) are assemblages of photoautotrophic non-vascular organisms, such as cyanobacteria, algae, lichens, and bryophytes, being accompanied by heterotrophic bacteria, microfungi, and archaea. They colonize almost all substrates on Earth, including soil, rocks, and vegetation. CC are particularly relevant in drylands, where they cover vast regions as biological soil crusts (biocrusts) colonizing the uppermost centimeters of the soil. Biocrusts perform highly relevant ecosystem processes, as they fertilize the soil by fixing carbon and nitrogen, balance water cycling, influence plant germination and growth, and effectively stabilize dryland soils.

Knowledge of the composition and distribution patterns of CC across spatial scales serves as a prerequisite to investigate their functional roles in regional and global Earth system processes. Thus, together with my research team, I investigated the microbial composition of biocrust types, defined by the visible photoautotrophic component (cyanobacteria, lichens, bryophytes), and discovered that these were characterized by distinct microbial communities that in turn impacted physiological biocrust functioning. For biocrust mapping, we established a deep learning-based classification technique, which, besides identification, also allows neighborhood and growth analyses. For biocrust identification at the regional scale, I developed one of the first high-resolution remote sensing algorithms utilizing hyperspectral imagery.

During my research, I investigated several functional roles of CC. In an international research team, we identified biocrusts as key nitrogen (N) fixers with an annual fixation of ~11.5 Tg, corresponding to ~18% of the overall N fixation in natural biomes. During N cycling in CC after fixation, we were the first to show major releases of reactive gases NO and HONO. These emissions were linked to precipitation, but heterogeneous microscale mechanisms limited process understanding. To address this, we now developed a controlled in-situ setup and applied a mechanistic model to clarify the underlying processes.

Applying a modeling approach, we developed a first global biocrust map, revealing that biocrusts cover ~18 * 106 km2, corresponding to about 1/3 of the global dryland area. Combining this map with data on the soil-stabilizing role of biocrusts, we assessed biocrust relevance in global dust cycling. Our results revealed that biocrusts reduce dryland dust emission and cycling by 60%, thus preventing the release of ~0.7 Pg of dust per year. This study was the first assessing global biocrust relevance and including this in Earth system models.

Although biocrusts thrive under extreme environmental conditions, our studies univocally demonstrate their high sensitivity towards global change. Utilizing our deep learning-method on a 16-year biocrust monitoring project on the Colorado Plateau, we observed a decrease in biocrust coverage by ~40%, with lichens and bryophytes reacting particularly sensitive to extended drought events. Similarly, biocrust coverage on the global scale will decrease by 16-39% until the year 2070 according to our mapping and modeling approach.

In summary, my research reveals that CC play key roles in biogeochemical processes but are also vulnerable by global change, which need to be considered both in ecosystem management and Earth system models to fully reflect their role and effectively meet future challenges of the Anthropocene.

How to cite: Weber, B.: Relevance of cryptogamic communities in Earth system processes under the impact of global change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12853, https://doi.org/10.5194/egusphere-egu26-12853, 2026.

EGU26-6371 | Orals | MAL27-SSS | Philippe Duchaufour Medal Lecture

Soil organic matter research in a changing world 

Cornelia Rumpel

Soils are central regulators of the Earth’s biogeochemical cycles, yet the mechanisms that influence the role of soil organic matter in soil functioning and its vulnerability to human interventions are still not sufficiently understood. In my research, I have explored the processes leading to organic matter stabilization at contrasting scales in temperate and tropical ecosystems. In this lecture, I will present my vision of how these scales need to be integrated in an interdisciplinary approach to investigate how contrasting pedoclimatic conditions, management practices, and climate change influence biogeochemical cycling. I will also present my research on the development of innovative soil amendments and sustainable management strategies to enhance fertility and increase soil carbon sequestration with the aim to strengthen resilience to global change.

I will highlight the benefits of international collaboration across continents in bringing together different viewpoints, enriching the research environment, and contributing to development. At the same time, the changing conditions we encounter when engaging with scientific knowledge, coupled with widespread misinformation, make it increasingly important to uphold scientific integrity. To nurture curiosity and inspire the next generation of scientists to seek truth with rigor and dedication, we should not entirely abandon the “old-fashioned” way of doing research. In this lecture, I will share my perspective on how soil scientists can continue to generate reliable knowledge, inform responsible management, and contribute to a sustainable future.

How to cite: Rumpel, C.: Soil organic matter research in a changing world, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6371, https://doi.org/10.5194/egusphere-egu26-6371, 2026.

Soil organic matter (SOM) is a cornerstone of ecosystem stability, yet its response to anthropogenic pressure is governed by molecular-scale processes that bulk analyses often fail to capture. This award lecture will illustrate how the application of stable isotopes at the compound-specific level provides a high-resolution lens to elucidate SOM complexity and dynamics across diverse environmental frontiers. By transitioning from established carbon-cycle isotope research to the pioneering frontier of organic phosphorus (OP) research, this work explores the molecular "fingerprints" of SOM dynamics.

In this award lecture, I will summarize my research on the molecular mechanisms of SOM transformation and the development of isotopic tools to decipher the turnover and fate of organic pools under varying environmental factors. First, I will provide an overview of how compound-specific stable isotope analysis (CSIA) revelas molecular shifts that precede detectable losses in diverse soil organic carbon forms, providing a diagnostic for soil vulnerability under diverse land uses and climate factors. This will comprise both a conventional biomarker extraction approach and a novel direct pyrolysis analytic technique.

Next, I will demonstrate how these isotopic approaches can be applied to disturbance ecology, specifically focusing on the resilience and transformation of organic matter in fire-affected soils. Finally, I will review the transition to the OP cycle, presenting innovative methodologies implemented to advance our understanding of C and P biogeochemical cycles, and providing unprecedented insights into the biogeochemical persistence of this major OP pool.

I will conclude by discussing how these molecular insights are vital for developing site-specific management strategies and interdisciplinary models that account for the simultaneous impacts of global change on multiple soil functions.

How to cite: San-Emeterio, L. M.: From carbon to phosphorus: Advancing compound-specific stable isotope analysis to decode soil organic matter dynamics across diverse environmental contexts, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20649, https://doi.org/10.5194/egusphere-egu26-20649, 2026.

EGU26-1128 | ECS | Posters virtual | VPS15

A Molecular Simulation Study on Sodium-Montmorillonite Clay Soil Stabilization through Calcium-Based Stabilizers 

Aparna Singh, Angan Sengupta, and Debanjan Guha Roy

The most prevalent clay mineral found in soil is montmorillonite. Montmorillonite-rich soils also known as expansive soils can pose hazards that bring geotechnical challenges because their swelling or shrinking behaviour arises due to the large water retention capacity of montmorillonite-rich soils. This soil swelling reduces the shear strength of soil and results in differential settlement of foundation, which compromises the structural integrity of the infrastructure. Montmorillonite is made up of multiple-layer structures, and these interlayers contain free cations that enable attachment of water molecules, which cause volumetric expansion of the soil. To prevent swelling, calcium-based stabilizers are often utilized for sodium-montmorillonite (Na-MMT) clay stabilization. These calcium-based stabilizers replace sodium ions with calcium ions with creating a diffuse layer around clay particles that affects the water adsorption capacity of Na-MMT. Therefore, to ensure structural safety and soil stability, it is essential to predict accurate soil properties, which depend on soil-water interactions; a pore-scale study of soil stabilization provides an enhanced understanding of soil-water interactions and water adsorption in the clay, which is responsible for swelling in Na-MMT. This study examines water adsorption and soil-water interactions inside montmorillonite clay pores using the Monte Carlo molecular simulations to quantify the systematic exchange of sodium with calcium cations and their influence on swelling behaviour in montmorillonite. The pore width (multiple of d-spacing) ranges from 10 to 20 Å, and varied pH environment via change in Ca²⁺ cation exchange compositions upto 100% have been simulated under in-situ conditions of temperature range of 288 to 308 K and at a pressure of 1 atm. The ClayFF forcefield was used to modelled Na-MMT clay pore, and the SPCE forcefield was used to modelled the water molecules. The simulated bulk densities of water were validated with literature data at the considered thermodynamic conditions. The Ca²⁺ exchange indicated an influence on the hydration behaviour of Na-MMT and altered the molecular ordering of water inside the pore. The adsorption of water shows dependency on interactions between water and the pore surface, as well as the available pore volume. Furthermore, these simulations analysed the percentage change in cation composition on the surface using local density distribution profiles and pore pressure across the height of the pore. This study aims to provide molecular insights into the performance of calcium-based stabilisers on expansive soils and clay-water interactions, which will help to predict pore pressure, swelling and softening and improved stability of expansive soils.

How to cite: Singh, A., Sengupta, A., and Guha Roy, D.: A Molecular Simulation Study on Sodium-Montmorillonite Clay Soil Stabilization through Calcium-Based Stabilizers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1128, https://doi.org/10.5194/egusphere-egu26-1128, 2026.

EGU26-1236 | ECS | Posters virtual | VPS15

Soil quality responses to extensive grazing use in subalpine pastures across the Pyrenees. 

Silvia Quintana, Clara Martí, David Badía, and Pilar Santolaria

Subalpine pastures in the Pyrenees are part of a long-standing cultural landscape shaped by centuries of extensive free-range grazing and transhumance. Like other European mountain regions, these grasslands are biodiversity-rich socio-ecological systems whose persistence depends on continuous management. Their ecological and cultural value is increasingly threatened by land abandonment, shrub encroachment, and climate warming, which reduce forage quality, alter soil processes, and compromise ecosystem resilience. Understanding how grazing influences soil functioning is therefore essential for sustainable pastoral management. We tested the hypothesis that, within low-stocking extensive systems, areas with moderately higher grazing exhibit enhanced soil quality relative to lightly used areas through effects on vegetation, nutrient inputs, and biogeochemical functioning, while remaining within low-intensity stocking levels.

We assessed soil quality under two relative grazing uses, Higher grazing use (HG) and Lower grazing use (LG), in extensive free-range systems with very low absolute stocking densities. At the Spanish site, the grazing unit comprises ~8,000 ha used by a free-ranging herd of 30 cattle (~0.04 LU·ha⁻¹). GPS tracking of five collared cows revealed strong contrasts in site use: 3,496 minutes in HG areas versus 298 minutes in LG areas during July–September. Parcels were classified based on vegetation structure and field indicators of bovine activity. At each site (Spain, Andorra, France), two areas (HG, LG) were sampled, each with four replicated subplots. Soil cores were collected at 0–6 cm (bulk density, mesofauna) and 0–20 cm (physical, chemical, biological properties), and aboveground biomass was harvested in 40×40 cm quadrats.

Soil Quality Index (SQI) values were calculated using the Minimum Data Set approach (Andrews et al., 2002), normalized on a 0.1–1 scale. Mesofauna was incorporated through the Ecological–Morphological Index (Menta et al., 2018).

The highest-weighted SQI indicators were electrical conductivity (0.560), total glomalin (0.197), pH (0.197), cation exchange capacity (0.197), water saturation content (0.170), coarse fragments (0.170), Olsen-P (0.073), porosity (0.073), bulk density (0.073), and clay (0.073). SQI showed consistent regional patterns, with higher values in HG areas: Spain 0.780 ± 0.005 vs. 0.727 ± 0.017; France 0.624 ± 0.027 vs. 0.606 ± 0.008; Andorra 0.714 ± 0.034 vs. 0.692 ± 0.024.

Several high-weight indicators showed grazing-related changes. Aggregate stability increased under higher grazing in Andorra but decreased in France and Spain. Total glomalin was identical between HG and LG in Andorra and France, but lower under LG in Spain. Cation exchange capacity and pH were consistently higher in HG. Electrical conductivity remained slightly higher in HG, especially in Spain. Coarse fragments varied by site, but their contribution was moderate relative to conductivity and cation exchange capacity.

Overall, moderately higher grazing helps maintain soil structural stability, supports fungal contributions to soil carbon, preserves cation-exchange capacity and pH, and sustains electrical conductivity within functional ranges. Together, these processes enhance soil quality in extensive free-range systems. Our findings highlight intermediate grazing as a key driver of soil functioning and ecosystem resilience in subalpine Pyrenean pastures, emphasizing the integration of soil indicators, biological communities, and grazing patterns for sustainable management of high-mountain rangelands.

How to cite: Quintana, S., Martí, C., Badía, D., and Santolaria, P.: Soil quality responses to extensive grazing use in subalpine pastures across the Pyrenees., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1236, https://doi.org/10.5194/egusphere-egu26-1236, 2026.

EGU26-2885 | ECS | Posters virtual | VPS15

Vegetation and microtopography drive microbial necromass carbon sequestration in wetland soils 

Xiaomin Zhang, Yakov Kuzyakov, Dayong Zhao, and Jin Zeng

Floodplain wetlands are important carbon sinks, yet drought-induced water level declines threaten this function by triggering mudflat-to-meadow transitions that alter soil organic carbon (SOC) stocks and stability. Microtopography shapes wetland hydrology and vegetation productivity; however, its interactive effects with vegetation on microbial necromass carbon (MNC)—the main component of stable SOC derived from microbial death—remain unknown. Combining amino sugar biomarkers, amplicon and metagenomic sequencing, we investigated MNC distribution and drivers across vegetation covers (meadow and mudflat) and microtopographic units (dish-shaped depressions, delta slopes, and riparian slopes) up to 30 cm depth in Poyang Lake floodplains. In the top 10 cm, MNC pool shifted from bacterial (BNC) to fungal necromass carbon (FNC) dominance from mudflats to meadows, with FNC/BNC ratio increasing from 0.5 to 1.7. This shift was driven by drainage that stimulated plant growth and C input belowground as well as oxygenation, thereby enriching fungal saprotrophic and symbiotrophic guilds, cellulose-hydrolyzing enzymes, and genes responsible for aerobic lignin-degradation. Conversely, lower meadow pH suppressed bacterial richness and functions critical for carbon, nitrogen, and sulfur cycling. Microtopography further mediated MNC/SOC ratio following vegetation effects. In the top 10 cm, delta meadow soil had higher FNC/SOC than dish-shaped and riparian meadows, driven by recalcitrant dissolved organic matter that enriched saprotrophic fungi. Aerated riparian mudflat had higher BNC/SOC than other mudflats due to efficient nitrogen turnover and reduced CO2 emissions. Below 10 cm, BNC exceeded FNC owing to oxygen limitation for fungi. Delta meadow and riparian mudflat also maintained higher BNC/SOC than other microtopography units, primarily driven by clay-silt mineral protection. Overall, drought-induced meadow expansion restructured topsoil microbial communities, shifting microbial carbon sequestration pathway from bacterial toward fungal dominance. Slope wetlands mitigate climate change more effectively than depressions through greater SOC stability, mediated by depth-dependent drivers of microbial necromass—substrate availability in the top 10 cm and mineral protection below. These findings reveal that the impact of microbial life-and-death processes on long-term carbon sequestration and stability is regulated by the hotspot-specific conditions created by vegetation, microtopography, and soil depth, highlighting the need for hotspot-differentiated wetland management strategies.

How to cite: Zhang, X., Kuzyakov, Y., Zhao, D., and Zeng, J.: Vegetation and microtopography drive microbial necromass carbon sequestration in wetland soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2885, https://doi.org/10.5194/egusphere-egu26-2885, 2026.

EGU26-9411 | Posters virtual | VPS15

Soil microbiome state in militarily impacted soils of Ukraine 

Volodymyr Illienko, Anna Salnikova, Valeriіa Bondar, Mykola Lazarev, and Alla Klepko

Military operations in Ukraine are causing significant changes to the environment, with soil being one of the most vulnerable components. Explosions, the utilisation of heavy machinery, and the pollution emanating from military facilities are collectively responsible for the deterioration of the soil physical properties. This results in a reduction of soil fertility and an alteration in the soil microbiome composition. Microorganisms play a pivotal role in biogeochemical processes that affect soil quality, its regenerative capacity, and the stability of agroecosystems. The rehabilitation and restoration of ecosystems, including soils, in the aftermath of armed conflict is crucial to ensure food security and strongly depends on the soil conditions. Therefore, comprehensive study to investigate the consequences of military interventions on the microorganisms, as well as physico-chemical characteristics of soils, and their consequent influence on the ecological conditions are necessary.

We collected soil samples from a militarily disturbed area in the vicinity of the village Moshchun in the Kyiv region in May 2025. The site presents a crater left by an aerial bomb explosion in the spring of 2022. The agrochemical parameters were determined according to the standard protocols. For microbiological analysis, soil suspension was plated onto selective nutrient media. The directional coefficients microbiological processes in soil (i.e., mineralisation-immobilisation coefficients, oligotrophy, pedotrophy) were calculated according to SSU 3750-98, and microbial transformation of soil organic matter – according to Mukha V.D.

The agrochemical parameters of the soil sampled in the crater and in the area directly adjacent to it indicates degradation of the soil organic matter and a decrease in nitrogen availability. These changes indicate the areas of significant thermal and mechanical destruction. An increase in mineral nitrogen in the centre of the approximately 6 m deep crater may reflect the exposure of inorganic nitrogen from deeper parent material layers. We also observed a decrease in the contents of mobile phosphorus and potassium, as well as soil organic matter (or humus) content. These findings confirm the negative impact of the explosion on soil fertility indicators.

Samples collected from the crater and adjacent undisturbed areas exhibited pronounced shifts in the abundance of different microbial groups. In the immediate vicinity of the explosion epicentre, the abundance of oligotrophs and pedotrophs increased, whereas populations of ammonifiers, phosphate mobilisers and cellulose decomposers decreased. Directionality coefficients of microbiological processes indicate a general shift toward predominance, of mineralisation processes withn the explosion-affected zones, resulting in the loss of organic carbon and a negative humus balance. The elevated proportion of oligotrophic and pedotrophic microorganisms in the crater centre suggest depletion of readily available nutrients for the microbiota, accompanied by active uptake of mobile nutrients from deeper soil or parent materials.

We acknowledge the Ministry of Education and Science of Ukraine for the financial support of this research (Projects 0124U001049 and 0124U000960).

How to cite: Illienko, V., Salnikova, A., Bondar, V., Lazarev, M., and Klepko, A.: Soil microbiome state in militarily impacted soils of Ukraine, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9411, https://doi.org/10.5194/egusphere-egu26-9411, 2026.

EGU26-12374 | ECS | Posters virtual | VPS15

Short-term effect of leguminous cover crops on soil health in young vineyards with simulated global warming. 

Derlis Enciso-Santacruz, Chinquiquirá Hontoria, Fernando Peregrina, Esther Hernández-Montes, Sara Sánchez-Elez Martin, and Ignacio Mariscal-Sancho

Global warming is increasingly threatening vineyards soil health, particularly in Mediterranean regions, mainly compromising their biological parameters, which are highly sensitive to rising temperatures. Sustainable management practices, such as the use of legume cover crops (CCS) have been emerging as an effective strategy to mitigate these impacts. The objective of this study was to evaluate the implementation of legume CCs in new vineyard plantations, as a sustainable soil management practice to enhance resistance and resilience to warming conditions. The experiment was conducted in Central Spain) under dry climate (Bsk, cold steppe), with an average annual temperature of 14.1 °C, and annual precipitation of 421.8 mm, 57% of which occurs between September and February and the soil presented a sandy loam texture. A completely randomised design was applied with three factors: (i) temperature: normal (current climatic conditions) vs increased (~ +1 °C) using open-top chambers (OTC); (ii) soil management with three levels: bare soil with tillage (T), and two CCs, CC Trifolium subterraneum L. (TCC), and Medicago truncatula Gaern. (MCC); and (iii) grapevine cultivar: cv.  Airén versus cv. Tempranillo. The combination generated 12 treatments with four replicates (48 experimental units). Four months after grapevine planting and CC sowing, and one month after CC mowing soil samples were collected at two depths (0–10 and 10–30 cm) to determine key soil health indicators: enzymatic activities (β-glucosidase, phosphatase, urease, N-acetyl-glucosaminidase), basal and induced respiration, pH and electrical conductivity. The infiltration rate was also determined. Results show that both MCC and TCC significantly increased β-glucosidase and urease activities in the 0–10 cm layer compared with tilled bare soil, while OTC warming reduced phosphatase and N-acetyl-glucosaminidase activities, potentially compromising nutrient recycling. The grapevine cultivar × CC interaction revealed that soils with cv. Airén responded better with Medicago truncatula Gaern, showing a significant increase in urease activity in the 10–30 cm layer, whereas in cv. Tempranillo no significant differences were observed. This suggests that the effect of CC on soil biological activity depends on the grapevine cultivar, underscoring the need to further investigate these interactions. Basal and induced respiration increased with CCs relative to bare soil but decreased under OTC warming. In addition, MCC increased electrical conductivity in the 0–10 cm layer compared to TCC and bare soil. No significant differences were observed in the infiltration rate. These findings indicate that leguminous cover crops enhance soil biological activity in the short term, while physical properties such as infiltration and chemical properties such as pH require longer periods to show significant changes. Overall, the use of leguminous CCs represents a promising strategy to sustain soil health in young vineyards under global warming, with cultivar-specific responses that warrant deeper investigation.

Acknowledgements: This study was carried out in the framework of the CUBIC project. Grants PID2023-147576OB-C21 and PID2023-147576OB-C22 funded by MICIU/AEI/10.13039/501100011033

How to cite: Enciso-Santacruz, D., Hontoria, C., Peregrina, F., Hernández-Montes, E., Sánchez-Elez Martin, S., and Mariscal-Sancho, I.: Short-term effect of leguminous cover crops on soil health in young vineyards with simulated global warming., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12374, https://doi.org/10.5194/egusphere-egu26-12374, 2026.

EGU26-13521 | ECS | Posters virtual | VPS15

Adding reactive transport capabilities to the 2DSOIL model with the integration of PhreeqcRM  

Aditya Kapoor, Sahila Beegum, David Fleisher, Dennis Timlin, Chittaranjan Ray, and Vangimalla Reddy

Process-based crop models are often coupled with soil models to compute the soil water and nutrient status in the root zone. The integration of a geochemical module with existing soil models can enhance their accuracy and capability to simulate additional key bio-geochemical processes. 2DSOIL is a legacy soil model integrated with several prominent process based crop models such as those for maize (MAIZSIM), cotton (GOSSYM), soybean (GLYCIM) and potato (SPUDSIM). However, this soil model lacks a dedicated geochemical component. This study addresses this limitation by integrating the prominent geochemical model, PhreeqcRM, with 2DSOIL using the operator splitting approach, resulting in an improved reactive transport model named ‘2DSOIL-PhreeqcRM’. This new model was validated with two exercises: (i) benchmarking simulated reactive transport against the standard analytical solutions; and (ii) inter-model comparison between cation-exchange simulations from 2DSOIL-PhreeqcRM versus PHREEQC’s built-in transport module. 2DSOIL-PhreeqcRM performed well in both exercises, with a mean absolute percentage error less than 4.75 % and RMSE less than 0.015 mol/l. This research establishes the accuracy and robustness of the 2DSOIL-PhreeqcRM, paving the way for its future use in simulating complex agro-bio-geochemical processes such as the nutrient transformations, precipitation and dissolution of minerals, effect of the addition of lime, ammonia and urea etc.

How to cite: Kapoor, A., Beegum, S., Fleisher, D., Timlin, D., Ray, C., and Reddy, V.: Adding reactive transport capabilities to the 2DSOIL model with the integration of PhreeqcRM , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13521, https://doi.org/10.5194/egusphere-egu26-13521, 2026.

EGU26-13573 | ECS | Posters virtual | VPS15

Effects of Legume Cover Crops on Soil Nitrogen Availability, Biomass and Foliar N of Young Grapevines under Simulated Warming and Reduced Precipitation 

C. Joel Fariña, Derlis Enciso Santacruz, Esther Hernández- Montes, Ana B. Muñiz González, Ignacio Mariscal-Sancho, Chiquinquirá Hontoria, and Fernando Peregrina

In Mediterranean viticulture, climate change is reshaping management practices by increasing water scarcity and temperatures, challenging productivity and wine quality. The establishment of new vineyards is particularly vulnerable at early stages. In this context, legume cover crops (CCs) may enhance soil resilience and vineyard establishment through increased biological activity and biological N fixation.

This study evaluated the potential of two legume CCs to improve soil N availability and early grapevine development under a simulated warming scenario (+2 °C) and contrasting precipitation regimes. A microcosm experiment (12 kg soil per pot) was conducted under semi-controlled greenhouse conditions (Madrid, Spain) using a multifactorial design including three soil management treatments (bare soil, cover crop of Medicago truncatula Gaertn., and cover crop of Trifolium subterraneum L.), two precipitation levels (current and 15 % reduced), and two grapevine cultivars (white cv. Airén and red cv. Tempranillo). Cover crops were mowed 75 days after sowing, and their residues were left on soil surface as mulch. After one growing cycle, soil total N and extractable NO₃⁻ were measured, and grapevine foliar biomass, as well as foliar N content, were determined.

Under warming conditions, legume CCs did not increase soil total N or extractable NO₃⁻ compared with bare soil. In contrast, reduced precipitation increased both parameters. Moreover, reduced precipitation decreased total foliar N amount by a 14 %. This suggests that reduced precipitation limited N uptake by the grapevine and in consequence increased the soil NO3-. These results may be explained by decreased water availability, given that N assimilation is an active, energy-dependent process regulated by the water status of grapevine and CCs.

Foliar biomass showed significant interaction between soil management and precipitation level. Under bare soil conditions, reduced precipitation decreased leaf biomass by 22 % relative to current precipitation. In contrast, under current precipitation, CCs reduced leaf biomass by 20 % compared with bare soil.  However, under reduced precipitation CCs did not decrease foliar biomass respect to bare soil. This interaction indicates that cover crop competition is significant under current precipitation but not under reduced precipitation. A reduction in foliar biomass under CCs, when not accompanied by reduced precipitation, would indicate that factors other than water competition are involved. One such factor could be N uptake by the cover crops, which reduces N uptake by the grapevine and consequently limits its foliar development.

In conclusion, legume CCs did not increase soil N availability grapevine N status, or foliar growth in grapevines during their first growing cycle. However, they were not detrimental to grapevine foliar biomass under water-restricted conditions compare to the bare soil. Overall, the results highlight water availability as a key factor modulating of the soil–plant N balance. These results support the use of legume CCs as sustainable soil management for climate-resilient viticulture at the first year of grapevine establishment. Further research is needed to optimize legume CCs management to enhance soil N availability and grapevine performance under future climate change scenarios.

Acknowledgements: proyecto CUBIC. PID2023-147576OB-C21 y PID2023-147576OB-C22, financiadas por MICIU/AEI/10.13039/501100011033.

How to cite: Fariña, C. J., Enciso Santacruz, D., Hernández- Montes, E., Muñiz González, A. B., Mariscal-Sancho, I., Hontoria, C., and Peregrina, F.: Effects of Legume Cover Crops on Soil Nitrogen Availability, Biomass and Foliar N of Young Grapevines under Simulated Warming and Reduced Precipitation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13573, https://doi.org/10.5194/egusphere-egu26-13573, 2026.

EGU26-17269 | ECS | Posters virtual | VPS15

Interactive effects of warming and biochar addition on photosynthesis and greenhouse gas emissions in a paddy system 

Xuejiao Chen, Lihua Ma, Qiaozhi Mao, and Ningbo Cui

Global warming and rice cultivation are both significant drivers of greenhouse gas emissions, with methane (CH₄) representing a potent short lived climate forcer. Understand the interactive effects of rising temperatures and soil management practices in regulating carbon fixation and emissions is essential for developing climate-smart rice agroecosystems. Biochar amendment has been proposed to improve soil fertility and mitigate greenhouse gas emissions, yet its interactive effects with warming remain insufficiently understood. A synergistic assessment of warming and biochar application is therefore necessary to evaluate their integrated potential for climate mitigation and sustainable rice production.

A controlled pot experiment using a water bath warming system was established to investigate the interactive effects of warming and biochar amendment. Four treatments were implemented: (1) conventional fertilization (NPK, control), (2) warming (NPK + H), (3) biochar addition (NPK + BC), and (4) combined warming and biochar (NPK + BC + H). Throughout the growing season, key environmental variables, including soil temperature, moisture, and electrical conductivity were continuously monitored. In parallel, rice growth traits and photosynthetic parameters were measured periodically. Greenhouse gas fluxes (CO₂, CH₄, and N₂O) were regularly quantified to assess treatment effects on emissions dynamics.

The experiment revealed critical interactions between warming and biochar. Their effects were often divergent when applied singly but convergent in combination. Specifically, while biochar alone stimulated CO₂ and CH₄ fluxes, and warming independently raised soil temperature, their combined application did not yield additive outcomes. Instead, it suppressed the biochar-induced increase in CO₂ and CH₄, demonstrating a clear interactive mitigation effect. Furthermore, this combination synergistically promoted rice photosynthesis and growth, and all amendment treatments reduced N₂O emissions relative to the NPK control.

Our findings demonstrate that warming and biochar amendment interactively regulate soil-plant processes and greenhouse gas fluxes in rice paddies, primarily through an antagonistic interaction that reverses the sole effect of biochar on CH₄ and CO₂ emissions. This shift indicates a fundamental change in microbial activity and carbon metabolism under combined treatment. Moreover, the synergy between warming and biochar enhanced photosynthetic carbon fixation, illustrating a dual mechanism that simultaneously optimizes carbon gain and attenuates carbon loss. These results provide mechanistic insight into how integrated management can reconcile productivity with climate mitigation, supporting the development of climate-smart strategies for rice agroecosystems under future warming scenarios.

How to cite: Chen, X., Ma, L., Mao, Q., and Cui, N.: Interactive effects of warming and biochar addition on photosynthesis and greenhouse gas emissions in a paddy system, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17269, https://doi.org/10.5194/egusphere-egu26-17269, 2026.

Introduction

Soybean has a strong impact on soil biological processes by interacting with microorganisms. Using arbuscular mycorrhizal fungi (AMF) and bacterial inoculants improves nutrient uptake and soil biological activity. However, the combined effects of these treatments with chemical seed treatment on soil health indicators in chernozem soils under intensive farming have not been studied enough.

 

Materials and Methods

The research was carried out on typical chernozem after maize for silage and soybeans. All variants of the experiment were created under uniform mineral fertilization (N₆₀P₆₀K₆₀).

The experimental design included the following treatments:

  • Control – mineral fertilization only, without seed treatment, arbuscular mycorrhizal fungi, or inoculation;
  • Chemical seed treatment – mineral fertilization with seed treatment (Maxim XL, 1.0 l/t);
  • Mycorrhizal treatment – MycoApply (4.0 g/ha) combined with seed treatment (Maxim XL, 1.0 l/t) under mineral fertilization;
  • Combined biological treatment – MycoApply (4.0 g/ha) + HiStick inoculant (400 g/ha) with seed treatment (Maxim XL, 1.0 l/t) under mineral fertilization

The number of microorganisms capable of ammonification, amylolysis, oligotrophy, pedotrophy, phosphate mobilization, and actinomycetes was assessed. The functional indices of soil health were evaluated using the coefficients of mineralization-immobilization, organic matter transformation, oligotrophy, and pedotrophy.

 

Results and Discussion

The control samples showed fairly high soil biological activity, which suggested a substantial presence of ammonifying microorganisms. The presence of numerous oligotrophic and pedotrophic microorganisms suggests the stable organic matter pools were frequently used. The limited quantity of actinomycetes present suggests a reduced rate of humification and carbon stabilization.

The application of Maxim XL led to a broader decrease in microbial populations, especially affecting oligotrophic and pedotrophic microorganisms. Lower values for the coefficient of organic matter changes suggest a dampening of microbial actions involved in breaking down organic residues.

Integrating MycoApply with a chemical seed treatment helped recover some microbial populations and improved functional measures when contrasted with seeds that only received the chemical treatment. More phosphate-mobilizing microorganisms showed up, meaning there was more phosphorus available.

The biological treatment, which included MycoApply with HiStick and Maxim XL, showed the best microbial response, as compared to other treatments. The presence of mycorrhizal fungi and bacterial inoculant lessened some of the negative aspects associated with chemical seed treatment. We found that microbial numbers and activity were greater than with just the chemical treatment by itself. Even though the microbial levels did not quite get back to where they started, this treatment did make the microbial community more resilient and stable when a lot of fertilizer was used.

 

Conclusions

In a common chernozem soil, various seed treatments for soybean farming caused noticeably different reactions in the biological markers for soil health. The application of chemical seed treatments independently led to a reduction in both microbial activity and the processes involved in organic matter transformation. In contrast, applying arbuscular mycorrhizal fungi, especially when paired with bacterial inoculation, somewhat lessened these problems and contributed to more even soil microbial activity. The findings indicate that biological methods can sustain soil health and ecosystem functions in soybean-based agroecosystems under conditions of global change.

How to cite: Pravylov, V.: Biological indicators of soil health under soybean cultivation as affected by mycorrhizal application and seed treatment in typical chernozem, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21989, https://doi.org/10.5194/egusphere-egu26-21989, 2026.

EGU26-22253 | Posters virtual | VPS15

Data Mining of ELFA Bioindicators to Assess Soil Threats Across European Biogeoclimatic Regions Using the LUCAS Dataset 

Nicolas Martin, Laurent Caner, Oddur Vilhelmsson, and Claudio Zucca

Soil threats, such as pollution, salinity, soil organic carbon (SOC) loss and compaction, are often difficult to quantify or costly to analyze and bioindicator research represents an important approach for their efficient evaluation. Microbial bioindicators can reflect early biological responses to soil degradation processes, offering a sensitive and cost-efficient complement to conventional soil analyses. The identification of microbial clade–specific indicators can be achieved in detail through metabarcoding technologies, although these methods typically require extensive data processing and advanced bioinformatics expertise.

In contrast, ester-linked fatty acid (ELFA) analysis provides an inexpensive biological method capable of quantifying major microbial groups in soil, including bacteria, fungi, Gram-positive, Gram-negative and Actinobacteria. We hypothesize that ELFA analysis can serve as a complementary and alternative technique for soil threat bioindication.

Using LUCAS 2018 soil survey data, we assessed relationships between soil threat proxies (estimated metal and metalloid concentrations, electrical conductivity, SOCmeasured/SOCexpected ratio and bulk density) and ELFA-derived parameters (both raw and ratio-transformed) through random forest modeling and ANOVA. Significant bioindicators (α < 0.05 and β > 0.8) were confirmed using generalized additive model (GAM) regressions across European biogeoclimatic regions (Alpin, Continental, Pannonian, Mediterranean, Boreal and Atlantic).

Our results demonstrate that Actinobacteria/Gram− ratio, fungi-to-bacteria (F/B) ratio, Gram+ and Gram− groups can serve as potential bioindicators for soils enriched in metals (Zn and Cd) and for SOC loss (SOC_observed/SOC_expected) as significantly highlighted by Random Forest, ANOVA and GAM analyses. Some responses were found to be specific to continental, boreal and Mediterranean biogeoclimates.

These findings support the inclusion of ELFA-based microbial metrics in European soil monitoring schemes such as LUCAS or the Soil Monitoring Law. Future research should integrate ELFA data with molecular bioindicators to refine multi-parameter soil threat assessments.

How to cite: Martin, N., Caner, L., Vilhelmsson, O., and Zucca, C.: Data Mining of ELFA Bioindicators to Assess Soil Threats Across European Biogeoclimatic Regions Using the LUCAS Dataset, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22253, https://doi.org/10.5194/egusphere-egu26-22253, 2026.

Abstract: Understanding how vegetation patterns control gravity erosion, such as avalanches, landslides, and mudflows, in slope–gully systems under heavy rainfall, remains a key challenge on the Chinese Loess Plateau. To address this, five 1-h simulated rainfalls were conducted, at an intensity of 1.4 mm/min, on experimental plots. These plots featured a gentle slope of 3° and a gully sidewall of 70°, and were covered with different vegetation patterns. Our results show that high-coverage grass on the gentle slope effectively reduced avalanche magnitude. The plot with 85% grass coverage had the lowest average avalanche volume, at 109.6 cm3, across the five rainfall experiments. Conversely, the excessive restoration of woody vegetation, or planting woody vegetation near the gully shoulder line, markedly increased landslide scale. Across the five rainfalls, the average landslide volume was 1,202.7 cm³ in the plot with 85% tree coverage and 983.3 cm³ in the plot with 60% shrub coverage along the gully shoulder line––both nearly triple that of bare land. Mudflow volumes in most of the plots accounted for less than 10% of the total gravity erosion. Avalanche and landslide volumes were significantly correlated with root mass density, silt content, bulk density, and organic matter, with all correlation coefficients exceeding 0.45. Consequently, implementing high-coverage grass on gentle slopes is one of the most effective strategies for mitigating gravity erosion on gully sidewalls.

Keywords: Gravity erosion; Vegetation pattern; Slope–gully systems; Grass; Loess Plateau

How to cite: Ran, G. and Xu, X.: High-coverage grass on slope–gully systems effectively mitigates gravity erosion in the Loess Plateau, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6345, https://doi.org/10.5194/egusphere-egu26-6345, 2026.

EGU26-7583 | Posters virtual | VPS16

Adsorption of heavy metals to chia seeds' mucilage 

Kidane Aregawi abrha and Gilboa Arye

Plant roots actively modify the physical properties of the soil in their area by secreting mucilage. Chia seed mucilage (CSM) is used as a model for plant root exudates primarily because of its similarities in physicochemical properties to natural root mucilage and its easy extraction in substantial, consistent quantities for laboratory experiments to study plant-soil-water relations. CSM can form highly viscous solutions at low concentrations and exhibits excellent properties, including water-holding capacity, surface tension, and emulsion stabilization. Most previous studies focused on chia seed mucilage as a conceptual model to describe the effect of mucilage on soil hydraulic properties, solute movement and gas diffusion in soil. However, the interactions between CSM and heavy metals have not been studied yet. Here, we showed the role of CSM as a bio-adsorbent for the removal of heavy metals and contaminants. Due to its sensitivity, non-destructivity, and simplicity, molecular fluorescence spectroscopy has been used to provide qualitative and quantitative information on the interaction between natural dissolved organic matter and metal ions. CSM was extracted from hydrated chia seeds and characterized using fluorescence Excitation-Emission Matrices combined with the Parallel Factor Analysis (EEM-PARAFAC) method. The binding interactions of CSM fluorescent components with heavy metals were quantified using fluorescence quenching titration and the Stern-Volmer model. Competitive binding studies were also conducted using one heavy metal as the quenching agent in the presence of competing heavy metal ions. Unconstrained PARAFAC modelling with two to four components was performed separately on 61 EEMs obtained from different concentrations of CSM samples, and the final component scores were determined through core consistency analysis, split-half analysis, and examination of the explained variance percentages. Protein-like (tryptophan & tyrosine) substances were the main fluorescent components identified by EEM-PARAFAC. The quenching titration results showed that the fluorescence intensity of CSM fluorescent components decreased with increasing heavy metal concentration under various environmental conditions. This strong quenching effect implies the binding ability of CSM to heavy metals and its significance in understanding metal toxicity, bioavailability, and transport in soil and natural waters.

How to cite: abrha, K. A. and Arye, G.: Adsorption of heavy metals to chia seeds' mucilage, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7583, https://doi.org/10.5194/egusphere-egu26-7583, 2026.

EGU26-10788 | ECS | Posters virtual | VPS16

Sewage sludge-derived biochar as a circular “waste-to-resource” strategy for wastewater treatment 

Erofili Vagia Gkogkou, Ekavi Aikaterini Isari, Eleni Grilla, Ioannis D. Manariotis, Ioannis K. Kalavrouziotis, and Petros Kokkinos

The increasing production of wastewater and sewage sludge (SS) is a major environmental challenge of the 21st century, while the need for sustainable waste management and resource recovery drives the development of innovative technologies for sludge utilization. The thermochemical conversion of SS through pyrolysis to biochar (BC) is a promising “waste-to-resource” strategy, as it allows both the reduction of sludge volume and the production of a functional, value-added material.

This study aims to examine sewage sludge-derived biochar (BCxSS), focusing on its characterization methods, the effect of pyrolysis conditions on its physicochemical properties, and its practical applications in water and wastewater treatment. By applying a structured PRISMA-based methodology, 170 studies concerning the production, modification, and environmental utilization of BCxSS were studied. The results showed that pyrolysis conditions, and particularly pyrolysis temperature, have a major influence on the properties of the BC, such as yield, ash content, pH, specific surface area, porous structure, and surface functional groups. Furthermore, BCxSS effectively removes heavy metals, dyes, phenolic compounds, and emerging organic micropollutants, such as pharmaceuticals and antibiotics. These removals occur through mechanisms such as physical adsorption, ion exchange, surface complexation, and π-π interactions. BCxSS is also attracting attention as a precursor for catalysts capable of degrading persistent pollutants. Despite these advances, the application of BCxSS for the adsorption and inactivation of pathogenic microorganisms and antibiotic resistance genes remains limited, revealing a critical research gap. Understanding BC-microorganism interactions is vital, given the significant public and environmental health risks posed by waterborne pathogens.

Overall, BCxSS provides a tangible example of circular economy in practice, transforming wastewater treatment byproducts into valuable resources that reduce waste and mitigate pollution.

How to cite: Gkogkou, E. V., Isari, E. A., Grilla, E., Manariotis, I. D., Kalavrouziotis, I. K., and Kokkinos, P.: Sewage sludge-derived biochar as a circular “waste-to-resource” strategy for wastewater treatment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10788, https://doi.org/10.5194/egusphere-egu26-10788, 2026.

EGU26-19240 | Posters virtual | VPS16

Advanced descriptive statistics of random reflectance measurements on plant-based biochars-do they even matter? 

George Siavalas, Karim Alami Sounni, and Marta Camps Arbestain

Numerous recent publications have demonstrated the relationship between random reflectance and the proportion of the fully carbonized fraction (equivalent to the fusinite maceral) contained in a biochar sample. These findings have motivated international frameworks and independent carbon registries to consider random reflectance among the core analytical proxies required to assess biochar permanence in soil. However, skepticism for the application of the proxy still persists, with main challenges revolving around the aspects of data acquisition and data interpretation. This is mostly attributed to the fact that the methods applied in the microscopic study of biochar were originally developed and standardized for the study of coal, where the calculation of the average and standard deviation of a 100 measurements on collotelinite, accompanied by a histogram showing the frequency distribution of the measured values, is often enough to describe and report this optical property.

Even though biochar samples are petrographically much simpler than coal and other sedimentary rocks, they have peculiarities that require a more careful consideration when applying standard petrographic techniques for their study. Biochar manufacturing conditions play a major role in the extent of the carbonization degree of the feedstock and this in turn has an impact on the heterogeneity of the formed biochar grains often resulting in complex distributions of the reflectance values, not always accurately captured in the basic descriptive statistics (mean and standard deviation, etc.), particularly in the case of polymodal distributions. For this reason a higher number of measurements, ranging between 300-500, on fields of view selected along a regular grid, is required to acquire meaningful average and standard deviation values, as opposed to coal samples, where a “run of the sample” on parallel traverses where collotelinite occurs is a common practice.  

Advanced descriptive statistics have long been successfully used for the evaluation of grain size analysis of clastic sedimentary rocks for the assessment of reservoir properties and depositional environment. This study attempts to investigate the frequency and probability distributions and derived advanced descriptive statistics of random reflectance measurements acquired from 50 plant-based biochar samples, in order to characterize their heterogeneity with regards to the proportion of the fully carbonized fraction. The calculated advanced descriptive statistics include the coefficient of variation and confidence intervals, measures of central tendency (median and mode), measures of dispersion (variance and interquartile range), shape parameters (skewness and kurtosis), and probability-related measures (probability density function, cumulative distribution function, and percentiles, particularly those associated with the established “inertinite benchmark”-IBRo2). In addition to those, the study attempts a comparison between the IBRo fractions determined by the measurement of 3-4 points per field of view, against those determined by just measuring the point located at the crosshair of each field of view, together with the convergence of the acquired set of measurements to the mean and median of each sample. Findings are expected to contribute to a mathematically more robust characterization of the acquired datasets, providing greater rigor in how this data can be utilized with regards to the assessment of biochar carbon permanence.

How to cite: Siavalas, G., Alami Sounni, K., and Camps Arbestain, M.: Advanced descriptive statistics of random reflectance measurements on plant-based biochars-do they even matter?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19240, https://doi.org/10.5194/egusphere-egu26-19240, 2026.

EGU26-276 | ECS | Posters virtual | VPS17

Evaluating the Effect of Compaction on Soil Hydraulic Properties 

Abdu Yimer Yimam, Desale Kidane Asmamaw, Margaret Chen, Seifu A Tilahun, Abebech Abera Beyene, Mekete Dessie, Kristine Walraevens, Enyew Adgo Tsegaye, Amaury Frankl, and Wim Cornelis

Soil compaction is commonly viewed by agronomists as an undesirable consequence of intensive agricultural activities arising from heavy machinery or livestock trampling. However, when induced at the bottom of furrows, it might help reduce the water loss during furrow irrigation. As such, understanding of how compaction alters soil hydraulic properties is essential for developing sustainable soil and water management practices. This study aimed to investigate the impact of compaction on soil hydraulic properties of a clay-textured Nitisol. Thirty undisturbed soil samples were collected from a depth of 15 cm in Koga irrigation scheme, Ethiopia, and subjected to five compaction levels: control (0%), 5%, 10%, 15%, and 20% volume reduction, each with six replicates. Saturated hydraulic conductivity was measured using the KSAT® apparatus with the falling head technique, while water retention and unsaturated hydraulic conductivity were measured using the HYPROP® system based on the modified evaporation method. Compaction reduced water retention and hydraulic conductivity, particularly in the wet range up to pF 3. Saturated hydraulic conductivity decreased by 9% to 78% from the lowest to highest compaction level tested. Compaction also increased bulk density (8% – 40%) and relative field capacity (4% – 10%) and decreased total porosity (6% – 33%), macroporosity (28% – 82%), air capacity (25% – 61%), and plant-available water content (8% – 17%). When compared with soil quality thresholds, compaction of 15% or more reduced plant-available water below optimal range (< 0.2 m3 m-3) and lowered saturated hydraulic conductivity below the threshold (8.64 cm day-1). While this study was designed to evaluate the efficiency of furrow irrigation subjected to compaction, the findings also emphasize the need for sustainable soil management to improve crop yield and soil resilience.

Keywords: Hydraulic properties, HYPROP2®, KSAT®, Soil compaction, Soil physical quality

How to cite: Yimam, A. Y., Asmamaw, D. K., Chen, M., Tilahun, S. A., Beyene, A. A., Dessie, M., Walraevens, K., Tsegaye, E. A., Frankl, A., and Cornelis, W.: Evaluating the Effect of Compaction on Soil Hydraulic Properties, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-276, https://doi.org/10.5194/egusphere-egu26-276, 2026.

EGU26-294 | ECS | Posters virtual | VPS17

Potential of Radon Deficit as a Monitoring Tool in Organic Soil Remediation: A Machine Learning-Based Predictive Approach 

Jaime Montalvo Piñeiro, Fernando Barrio Parra, Humberto Serrano García, Miguel Izquierdo Díaz, Eduardo De Miguel García, and David Lorenzo Fernández

The characterization and monitoring of soils and groundwater affected by non-aqueous phase liquids (NAPLs) remains a challenge due to the difficulty and high costs associated with their spatial delineation through intrusive methods (e.g., core-recovery drilling). The radon deficit technique is a promising screening method that enables the identification of potentially impacted areas based on the ubiquity of this gas, its operational simplicity and capability for rapid in situ measurement, and its preferential partitioning into NAPLs. However, subsurface sampling does not allow discrimination between impacts occurring in the vadose zone and those in the saturated zone. This work proposes the application of machine learning algorithms (Random Forest) as a tool to analyze the spatial variability of radon activity data in contaminated sites, with the aim of quantitatively determining their dependence on information related to contamination processes in both the vadose and saturated zones, as well as evaluating the ability of these algorithms to assess  the potential of the radon deficit technique for monitoring remediation processes in NAPL-impacted sites.
This study uses information collected during sampling campaigns conducted at a NAPL-impacted site at various depths within the vadose and saturated zones. The collected data (radon activity, lithological characteristics, and organic contamination information) were integrated into a machine learning algorithm that enabled the spatial analysis of the joint behavior of the variables, resulting in a predictive model to assess the potential of the radon deficit technique for monitoring remediation processes.
The results suggest that the radon deficit is a useful screening and monitoring method for NAPL-impacted sites, and demonstrate the value of machine learning not only as a predictive tool but also as an analytical resource to interpret complex relationships and validate indirect environmental monitoring techniques.

How to cite: Montalvo Piñeiro, J., Barrio Parra, F., Serrano García, H., Izquierdo Díaz, M., De Miguel García, E., and Lorenzo Fernández, D.: Potential of Radon Deficit as a Monitoring Tool in Organic Soil Remediation: A Machine Learning-Based Predictive Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-294, https://doi.org/10.5194/egusphere-egu26-294, 2026.

EGU26-8294 | Posters virtual | VPS17

Taming Underground 

Rietje Evelijn Martinius

This paper examines how the urban underground is organized and managed during construction projects, focusing on professional boundaries between asset managers and project managers. Drawing on an ethnographic case study of a large underground utilities construction and renovation project, the paper analyzes how the underground is made sense of in everyday project practices. The findings show that during construction the underground was framed as an ambiguous entity, simultaneously treated as a manageable technical space and as an uncontrollable source of risk. Although largely absent from planning routines, underground conditions repeatedly disrupted project performance through delays, budget overruns and physical damage. Risk management became the dominant response to these disruptions. However, despite the involvement of underground experts, uncertainty could not be eliminated and projects proceeded with the expectation of further unforeseen events. Experts navigated this uncertainty by mobilizing a dual framing of the underground: as a controllable container for infrastructure and as a natural force beyond managerial control. The paper argues that the agency of the underground is decentralized and relational, emerging through local practices, narratives and material conditions rather than residing in a single actor or substance. By showing how managerial framings themselves become agentive, the study contributes to research on infrastructure governance and project management by reconceptualizing the underground as a distributed and untamed agent in urban development processes.

 

How to cite: Martinius, R. E.: Taming Underground, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8294, https://doi.org/10.5194/egusphere-egu26-8294, 2026.

EGU26-13470 * | Posters virtual | VPS17 | Highlight

Soil Erosion Control at the Interface of Processes, Management, and Policy: Lessons from Serbia, Bosnia and Herzegovina, and the European Union 

Milica Vranesevic, Muhamed Bajrić, Marijana Kapović Solomun, and Ilija Čigoja

Soil erosion represents a major threat to soil health, water resources, food security, and ecosystem resilience, particularly in regions exposed to increasing climatic extremes and long-standing pressures from unsustainable land use. In Southeast Europe, intensified rainfall events, land degradation, and inadequate spatial planning have amplified erosion processes and related hazards, such as torrential floods, highlighting the need for more integrated and adaptive approaches to soil conservation.

This study examines soil erosion and conservation from a comparative and integrative perspective, focusing on Serbia and Bosnia and Herzegovina and situating both within the broader European Union policy and governance framework. Soil erosion is addressed not only as a biophysical process, but as a systemic challenge arising from interactions between natural processes, land management practices, institutional arrangements, and policy implementation.

In Serbia, soil erosion and torrential processes have long been recognized as major environmental challenges, particularly in hilly and mountainous catchments. The country has a strong tradition of erosion control and torrent regulation based primarily on technical and biotechnical measures implemented at the local scale. National assessments indicate that approximately 86% of Serbia’s territory is potentially exposed to water erosion, ranging from very weak to severe intensities, reflecting pronounced geomorphological diversity. Despite extensive technical expertise, soil conservation remains weakly integrated with spatial planning, ecosystem-based approaches, and socio-economic valuation of soil functions and ecosystem services, resulting in predominantly sectoral and engineering-oriented interventions.

In Bosnia and Herzegovina, erosion-prone catchments are shaped by steep terrain, erodible soils, increasing climate variability, and fragmented institutional responsibilities. National erosion mapping shows that areas affected by excessive, intensive, and medium erosion account for approximately 15.7% of the territory, while 84.3% is characterized by slight to very slight erosion, largely associated with forested areas, karst landscapes, and lowland agricultural plains. Management responses are largely reactive, focused on post-event measures following extreme rainfall and torrential floods, with limited long-term effectiveness due to weak catchment-scale coordination and insufficient integration with land-use planning.

The European Union provides an important reference framework through the Water Framework Directive, the Floods Directive, and the EU Soil Strategy, which promote integrated, catchment-based management and the wider use of nature-based solutions. However, implementation in candidate and neighboring countries remains uneven, constrained by institutional capacity, financial resources, and governance complexity.

By comparing national experiences with EU policy principles, this study identifies persistent gaps between scientific knowledge, management practice, and policy implementation. It argues for a shift from fragmented, sectoral approaches toward integrated strategies linking process-based understanding, sustainable land management, nature-based solutions, and coherent governance. In this context, soil erosion control emerges as a key pathway for advancing Sustainable Development Goal 15 (Life on Land; aligned with the Sendai Framework for Disaster Risk Reduction, 2015–2030), while simultaneously contributing to disaster risk reduction, climate adaptation, and ecosystem resilience in Southeast Europe.

How to cite: Vranesevic, M., Bajrić, M., Kapović Solomun, M., and Čigoja, I.: Soil Erosion Control at the Interface of Processes, Management, and Policy: Lessons from Serbia, Bosnia and Herzegovina, and the European Union, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13470, https://doi.org/10.5194/egusphere-egu26-13470, 2026.

EGU26-14632 | ECS | Posters virtual | VPS17

MIC/MBC resistance fingerprints to As(III) in Bacillus and Pseudomonas as bioindicators across water and solid matrices in southern Perú 

Olga Libia Cjuno Huanca, Ana Cecilia Valderrama Negrón, Javier Martin Quino Favero, and Erika Silva Santos

Arsenic (As) contamination in soils and waters is a critical challenge to human health, agricultural productivity, and ecological integrity. In soil-water systems, As can modify microbial community structure and physicochemical properties; therefore, indicators that integrate As availability and biological stress across heterogeneous matrices are needed. This study evaluated whether phenotypic As resistance patterns in environmental bacteria can be used as bioindicators and whether native, As-tolerant Bacillus and Pseudomonas stains could support recovery-oriented assessments.

Soil/sediment and water samples were collected at six sites across three high-Andean areas in southern Perú: Desaguadero (Puno; deep well and spring), Sicuani (Cusco; two springs), and Espinar (Cusco; Salado River). Solid matrices included riverbed sediments, saturated solids at spring outlets, and excavated well soils (drill cuttings/spoil around the wellhead). In soil/sediment, pseudo-total As was determined by aqua regia digestion. In waters, dissolved As, was quantified alter filtration (0.45 µm) and acidification (HNO3 (pH < 2).

Tolerance assays were performed on nutrient agar amended with 100, 1000, 1500, and 2000 mg L-1 As (III) at 30°C for 24-72 h to estimate the minimum inhibitory concentration (MIC). The minimum bactericidal concentration (MBC) was then determined by subculture in As-free broth (triplicate; OD600). A total of 59 isolates were obtained: Bacillus (n = 40, water = 12, solid matrix = 28) and Pseudomonas (n = 19, water = 3, solid matrix = 16). Biochemical profiling assigned Bacillus to the B. cereus complex (cereus/thuringiensis), B. subtilis group, and Bacillus spp.; Pseudomonas to P. aeruginosa, P. stutzeri, P. mendocina and Pseudomonas spp.

Bacillus showed higher resistance than Pseudomonas: with growth observed in 37/40, 28/40, 20/40 and 4/40 isolates at 1000, 1500 and 2000 mg L-1, respectively, and higher tolerance enriched in solid matrix isolates (1500 mg L-1: 17/28 vs 3/12; 2000 mg L-1: 4/28 vs 0/12). In Pseudomonas, growth occurred in 16/19, 9/19 3/19 and 0/19 isolates at the same concentrations. The most tolerant isolates were B2539 (Bacillus sp.; MBC = 2200 mg L-1) and P2501 (P. aeruginosa), with an MBC = 1400 mg L-1). These results support MIC/MBC “resistance fingerprints” as quantitative bioindicators to compare sites and matrices in As-affected environments.

Keywords: arsenic; microbial bioindicators; riverbed sediment; springs, soil; Bacillus; Psedomonas; souther Perú. 

How to cite: Cjuno Huanca, O. L., Valderrama Negrón, A. C., Quino Favero, J. M., and Silva Santos, E.: MIC/MBC resistance fingerprints to As(III) in Bacillus and Pseudomonas as bioindicators across water and solid matrices in southern Perú, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14632, https://doi.org/10.5194/egusphere-egu26-14632, 2026.

EGU26-14894 | ECS | Posters virtual | VPS17

Toposequence-driven variability on soil properties redistribution at irrigated semi-arid landscape, Northeastern Algeria 

Kamel Kouider, Yacine Benhalima, El Hadi Mazouz, Erika Santos, and Diego Arán

Agriculture in semi-arid Mediterranean regions contributes significantly to local food production and rural livelihood.  Nevertheless, it depends strongly on irrigation to sustain crop production and soil fertility. With the terrain complexity present, irrigation can lead to downward and lateral transfer of soil particles and nutrients, thus intensifying and accelerating the complex interplay between leaching and erosion, which in turn, reduce soil productivity and create spatial fertility imbalances. This study addresses the lack of knowledge about these processes to support better soil management in  Bir Bouhouch irrigated perimeter with complex terrain characteristics in northeastern Algeria , which represents a strategic agricultural area mainly producing cereals .The area has been used for intensive agriculture since the expansion of irrigation schemes in recent decades .In This study  the vertical and catenary variability of physicochemical characteristics of soils were examined. Four soil profiles along a toposequence from the summit (P1), to the toeslope (P4) were described and soils samples were collected in different depth to physicochemical characterization (texture, pH and electrical conductivity in water (EC), active lime, organic matter (OM), total nitrogen and extractable phosphorus. All profiles showed alkaline pH (8.10–8.60) with low EC (0.23–0.58 dS/m) that increased progressively from the summit to the teslope as well as with depth. Surface horizons (0- 60 cm) at downslope profiles showed finer textures with transition from silty clay to loamy clay and higher OM contents (up to 17.2 g/kg) compared with the summit (9.00 g/kg), indicating possible downslope colluvial accumulation. Active lime increased but followed a bi-profile sequence along surface (from 55 to 145 g/kg for P1-P2 and from 35 to 105 g/kg for P3-P4) and with depth reflecting a possible carbonate leaching and re-precipitation under alkaline conditions, locally forming caliche horizons. Extractable P concentrations ranged from 0.05 to 0.07 mg/kg and were enriched at lower slope positions at surface horizons. Besides total N (0.8–1.5 g/kg) showed limited vertical and lateral variation. These patterns demonstrate that soil variability along the transect can be mainly controlled by the topography-driven redistribution and carbonate dynamics enhanced by irrigation.

This work was funded by national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under the projects UIDB/04129/2020 and UID/04129/2025 (LEAF) and LA/P/0092/2020 (TERRA).

How to cite: Kouider, K., Benhalima, Y., Mazouz, E. H., Santos, E., and Arán, D.: Toposequence-driven variability on soil properties redistribution at irrigated semi-arid landscape, Northeastern Algeria, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14894, https://doi.org/10.5194/egusphere-egu26-14894, 2026.

Contamination of agricultural soils with heavy metals poses a critical threat to global food security and human health due to their high mobility and long biological half-life. Consequently, there is an urgent need for innovative remediation strategies, such as the development of safe multi-functional soil amendments, that do not disrupt food production. Among various additives, biochar (BC), obtained through the pyrolysis of organic wastes (including agricultural residues), is one of the most extensively studied. BCs can immobilize pollutants due to their developed surface area and abundance of functional groups. Hydrogels (HG) are another type of modifier that can simultaneously immobilize metals and improve the water-holding capacity of soils. Special attention is given to biopolymer-based HGs due to their biocompatibility and biodegradability. Furthermore, nanoparticles (NPs) have been reported to decrease heavy metal toxicity to plants. Thus, in this study, a series of hybrid chitosan-lignin HGs enriched with wheat straw-derived BC and selenium (Se) or copper (Cu) NPs were developed, and their effect on maize germination under water-deficit and cadmium contamination stress was evaluated.

During the study, agricultural soil was modified using 1% (w/w) of the developed HGs: (1) HG filled with BC; (2) HG filled with BC and SeNPs; (3) HG filled with BC and CuNPs; and (4) a combination of HGs (2) and (3). The plant growth experiment was conducted in a growth chamber and included soils contaminated with cadmium (35 mg/kg) and uncontaminated controls. Two weeks after sowing, watering was stopped, to simulate water-deficit conditions, and water evapotranspiration was monitored gravimetrically. After one week, seedlings were collected, and their fresh/dry mass and length were determined.

A decrease in evapotranspiration rates was observed for the soil modified with HGs. For example, the control soil lost 68 g/pot of water during 7 days, while the soils modified with HG/BC and HG/BC/SeNPs lost 59 and 57 g, respectively. Additionally, these HGs demonstrated a stimulatory effect on maize growth. The average shoot height increased from 18.3 cm in the control to 20.9 cm, and dry mass rose from 0.029 g to 0.037 g for the soils modified with HG/BC and HG/BC/SeNPs. The root dry mass also increased in both cases. Moreover, under cadmium contamination, both hydrogels neutralized the negative impact of the heavy metal on shoot growth. In contrast, HG filled with BC and CuNPs had an inhibitory effect on plant biomass growth. The mixture of hydrogels demonstrated a moderated effect on plant germination.

Acknowledgements: The research was funded by the Polish National Agency for Academic Exchanges under the Strategic Partnerships Program (BNI/PST/2023/1/00108) and the National Science Centre (2024/08/X/NZ9/00561).

How to cite: Siryk, O. and Szewczuk-Karpisz, K.: Chitosan-lignin hydrogels enriched with biochar and Se/Cu nanoparticles for the mitigation of cadmium and drought stress in maize, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17043, https://doi.org/10.5194/egusphere-egu26-17043, 2026.

EGU26-17792 | ECS | Posters virtual | VPS17

Soil Erosion Assessment in the Beiluo River Basin Based on the CSLE Model and Sampling Survey Method 

Miaoqian Wang, Xiaoping Zhang, Haojia Wang, Weinan Sun, Wenliang Geng, and Xuanhao Liu

Soil erosion is a global ecological and environmental issue. To improve the accuracy of regional soil erosion estimation, this study investigates the impact of different sampling densities on soil erosion estimation at the watershed scale using the CSLE model, taking the Beiluo River Basin as an example. Based on the CSLE model, the study compares the effects of four sampling densities (0.0625%, 0.25%, 1%, and 4%) on soil erosion estimation in the study area using two methods: full coverage calculation and unit interpolation extrapolation. The differences and main causes of these effects are analyzed to identify the appropriate sampling density and soil erosion estimation method for the watershed. This provides a theoretical basis for the selection of field sampling density and methods in regional soil erosion dynamic monitoring. This study extracted land use and soil and water conservation measure information through remote sensing interpretation of sampling survey units at different densities. Based on the CSLE model, soil erosion rates were calculated for the watershed. The results indicate that both the full-coverage calculation method and the sampling survey method are capable of capturing the macro-scale patterns of soil erosion within the watershed. The full-coverage calculation method provides complete spatial coverage, effectively represents the spatial distribution characteristics of regional soil erosion, and is relatively insensitive to variations in sampling density. However, due to limitations in the accuracy of model input data sources, this method tends to overestimate soil erosion rates. In contrast, the sampling survey method utilizes higher-precision input factors, resulting in more accurate soil erosion assessments. Nevertheless, its estimation results are strongly influenced by sampling density and the choice of interpolation methods. In summary, the sampling survey method better reflects soil erosion variations across different topographic conditions, making it an efficient and practical approach for regional soil erosion investigations.

Keywords:Beiluo River Basin; CSLE model; soil erosion estimation; sampling density; full coverage calculation

How to cite: Wang, M., Zhang, X., Wang, H., Sun, W., Geng, W., and Liu, X.: Soil Erosion Assessment in the Beiluo River Basin Based on the CSLE Model and Sampling Survey Method, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17792, https://doi.org/10.5194/egusphere-egu26-17792, 2026.

EGU26-18654 | ECS | Posters virtual | VPS17

Soil and vegetation diversity responses to designed Technosol applied in a sulfide mine under semi-arid conditions: field evidence at long term 

Aránzazu Estrada, Yacine Benhalima, Erika Santos, and Diego Arán

The recovery of sulfide mine areas using designed Technosols and vegetation is often evaluated under controlled conditions, whereas field-scale evidence remains scarce. The first pilot (1.5 ha) with designed Technosols, produced from agro-industrial and urban wastes, was installed at the São Domingos mine (Iberian Pyrite Belt, Portugal)in two areas subject to continuous leaching of acid mine drainage, for environmental recovery purpose. An adjacent area without Technosol was used as control. The areas with and without Technosol were sown with a commercial herbaceous mixture including some autochthonous shrub species. After 4.5 years from recovery system (Technosol+vegetation) installation, the physicochemical quality of soil (pH, EC, fertility, nutrients and potentially hazardous elements-PHE availability) and the vegetation status (species composition, % cover, total biomass, seed bank diversity) were evaluated. A total of 25 randomly distributed sampling points were established with both soil and vegetation samples collected at each point (T1-Technosol area: 15, T2-Technosol area 2: 5, control: 5). The aim of the study was to evaluate the chemical quality of soil and vegetation status in the Technosol and control areas at long-term.

The application of the designed Technosol significantly improved the soil quality of the mine area compared to the control, increasing pH (from 4.08 to 7.76) and organic C content (62.49 vs. 2.42 g kg⁻¹). The available fractions of macronutrients were higher in the Technosols areas while available PHE amounts were approximately 73% lower than in the control area. Vegetation reflected soil improvement, with 20 taxa (10 families) registered and higher family richness in the Technosol areas (10 vs. 4) .Technosols areas were dominated by Poaceae and Asteraceae showing almost complete soil cover (~96%). The control area was barely covered (<9%) mainly by Poaceae with Linaceae and Brassicaceae. The soil seed bank showed higher plant diversity in Technosols samples (8 families), while no germination was recorded in the control (assay conducted under controlled conditions for 3 months).

Comparing the two areas with Technosol, no remarkable differences was obtained for pH (7.75–7.78 and low PHE availability but EC EC (500.6 vs. 236.4 µS/cm), available P content (321.7 vs. 191.1 mg kg⁻¹) and CEC (61.1 vs. 46.6) were different. Despite the application of similar Technosol and seeding, the plant communities diverged for the plant diversity (8 families vs. 5) and dominance of grasses. Although the vegetation cover and biomass amounts were similar between the Technosol areas, a differentiation of the carbon stock obtained (948.8 vs. 645.2 g C/m-2). Seed bank family richness was similar (6 families each) but composition differed Poaceae, Asteraceae, Urticaceae and Apiaceae families were common, while presence of Brassicaceae and Solanaceae or Malvaceae and Amaranthaceae depended on the Technosol area. This field case study provides a practical workflow linking soil improvement, contamination dynamics and vegetation recovery. It highlights the effectiveness of Technosol in environmental recovery of sulfide mine areas at long term and the spatial heterogeneity evolution.

This work was funded by national funds through FCT—Fundação para a Ciência e a Tecnologia under the projects UID/04129/2025 (LEAF) and LA/P/0092/2020 (TERRA).

How to cite: Estrada, A., Benhalima, Y., Santos, E., and Arán, D.: Soil and vegetation diversity responses to designed Technosol applied in a sulfide mine under semi-arid conditions: field evidence at long term, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18654, https://doi.org/10.5194/egusphere-egu26-18654, 2026.

EGU26-19058 | ECS | Posters virtual | VPS17

Integrated environmental Assessment of  multielement Contamination in Mining-Impacted Soils and Leachates: A Case Study from Northeastern Algeria 

Sonia Cedah, Fadila Fekrache, Diego Aran, and Erika Santos

Abandoned mining sites are a major source of long-term soil contamination by potentially toxic elements. This study assessed the environmental risk of metal-contaminated soils from the Sidi Kamber mine (northeastern Algeria). Mining residues are spread into the surrounding areas and the Oued Es-Souk, a river that supplies the Guenitra dam.This dam is the main drinking water reserve in the Skikda region..

This study is based on the geochemical and ecotoxicological analysis of 16 soil samples, from four stations distributed along the Oued Es-Souk until the dam. Samples were taken at two depths (0–25 cm and 25–50 cm) during both the dry and wet seasons. in Metal availability was evaluated through simulated leachate analyses, while soil properties (pH, fertility and pseudo-total elemental concentrations) were determined using conventional methods. Ecotoxicological bioassays were conducted to assess the biological effects of both soils and leachates in two plant species (Allium cepa and Lactuca sativa), focusing on seed germination, root elongation, and total biomass production as sensitive indicators of phytotoxicity.  Soil pollution indices, including the Igeo-Geoaccumulation Index and the CF-Contamination Factor were calculated to quantify contamination levels and identify the most critical elements.

The soils showed a very variable conductivity (510–3460 μS/cm) and a pH ranging from neutral to slight acid (5.15–7.54), with a tendency towards acidification during dry season. The leachates, less saline, were systematically acid (pH ~5). The organic carbon and some available nutrients contents were relatively low confirming low soil fertility.

The upstream location had the lowest Zn, Mn, Cu, and Pb concentrations in pseudo-total fraction recorded in wet season (194, 480, 16.5, and 88 mg/kg, respectively).  Despite being the lowest on the site, these levels exceeded benchmarks reported by Dutch Target Values or AFNOR standards. The highest concentrations are located at the surface of the soils and at specific points, reflecting a localized accumulation.  Mobility Index (MI = Av/PT) ranked metals in descending order of mobility: Cd>Zn>Ni>Cu>Pb>Cr>Fe. Contamination Factors confirm a significant polluting heritage: the pseudo-total contents of Zn, Pb and Cd are considerably enriched (CF>10 in many cases) compared to local natural levels. The geoaccumulation index classifies metals into three categories: strong to extreme contamination for Cd and Pb (Igeo>3); moderate accumulation for Zn and S (1<Igeo<2); and low to natural levels for Fe, Mn, Cr and Ni (Igeo=0).

Inhibition index specially on  Lactuca, shows that root growth is much more sensitive than germination. If it is very little affected (indices from -0.06 to +0.01), the length of the roots varies greatly, from a marked inhibition (-33.5% for the most toxic sample) to a significant stimulation (+46.5%). Among all the relationships studied, it is between pH and germination that the negative correlation is the most marked..

Overall, this integrated approach provides a comprehensive framework for assessing the environmental risks associated with abandoned mining.

This work was funded by national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under the projects UIDB/04129/2020 and UID/04129/2025 (LEAF) and LA/P/0092/2020 (TERRA).

How to cite: Cedah, S., Fekrache, F., Aran, D., and Santos, E.: Integrated environmental Assessment of  multielement Contamination in Mining-Impacted Soils and Leachates: A Case Study from Northeastern Algeria, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19058, https://doi.org/10.5194/egusphere-egu26-19058, 2026.

EGU26-19259 | ECS | Posters virtual | VPS17

Evaluation of soil contamination surrounding an abandoned ore processing plant in Northeastern Algeria: spatial variability and seasonality effect 

Mebarka Djemli, Khaled Boudeffa, Fadila Fekrache, Diego Arán, and Erika Santos

Abandoned ore processing plants represent critical, long-term sources of environmental contamination and therefore constitute an important field of research for the subsequent rehabilitation of the area.  

The objective of this study was the evaluation of the level and spreading of soil contamination by trace metal elements in the vicinity of an abandoned ore processing plant in northeastern Algeria. Superficial soil samples were collected from 8 sampling stations located upstream, downstream, and directly at the abandoned ore processing plant during the wet and dry seasons.  An environmental assessment of soil samples was conducted through the analysis of physicochemical characteristics: pH, electrical conductivity, and concentration of nutrients and potentially toxic elements in the available and total fractions.

Soil samples showed marked spatial variability in pH values and electrical conductivities although, in general, soils collected in the both seasons showed an acid pH (3.66-4.19) and low-moderate EC (250-446 µS/cm)The total concentrations of S, Fe, Cr, As, Cu, Pb and Zn were elevated in all soil samples, exceeding the maximum values permitted for industrial land use according to soil legislation in several countries (e.g. Canada). For Ni and Cd, only some soil samples exceeded the maximum allowed values. The variation in the elements' availability revealed clear spatial heterogeneity between locations upstream and downstream of the abandoned ore processing plant. However, values remained consistently high near the plant regardless of position, which confirmed its role as the primary contamination source through multidirectional dispersion via runoff and wind.

This work was funded by national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under the projects UIDB/04129/2020 and UID/04129/2025 of LEAF-Linking Landscape, Environment, Agriculture and Food, Research Unit and LA/P/0092/2020 of Associate Laboratory TERRA

How to cite: Djemli, M., Boudeffa, K., Fekrache, F., Arán, D., and Santos, E.: Evaluation of soil contamination surrounding an abandoned ore processing plant in Northeastern Algeria: spatial variability and seasonality effect, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19259, https://doi.org/10.5194/egusphere-egu26-19259, 2026.

EGU26-19332 | Posters virtual | VPS17

Changes in soil structure and sorption capacity after mixed treatment with macromolecular compounds and orange peels-derived activated carbons  

Sylwia Kukowska, Katarzyna Grygorczuk-Płaneta, and Katarzyna Szewczuk-Karpisz

Soil provides 95% of our food and provides other essential ecosystem services, such as water purification, biodiversity, and climate regulation. Unfortunately, numerous agroecological functions of soil are increasingly threatened by the intensifying, primarily anthropogenic, processes of soil degradation. This deteriorates the surface, sorption, and buffering properties of soils, the spread of pollutants into watercourses and groundwater, and adverse changes in porosity, organic matter composition and content, wettability, aggregation, and microbial community, resulting in soil partially or completely losing its ability to function properly. Therefore, it is so important to develop new soil conditioners that can reduce the effects of anthropogenic pressure and make soils more resistant to negative phenomena.

The main aim of this study was to estimate the impact of newly developed biochars and activated carbons from orange peels as well as water-soluble polymers (exopolysaccharide of bacterial origin (Rhizobium leguminosarum bv. trifolii), ionic polyacrylamides) on the structure and sorption capacity of the selected soil. Haplic Luvisol, the most common Polish soil, was collected from 0–20 cm depth of arable land in Poland (Parchatka, Lublin Upland, N 51°22′54″ E 21°59′54″). It was derived from loess parent material. It was modified with 1 wt.% of solid modifier (biochar, or activated carbon) by mixing. Macromolecular compounds (of initial concentration 100 mg/L) were added in the form of solutions. The following parameters: pH, ash content, total organic carbon content, porosity, variable surface charge of the soil were measured before and after modification to estimate effectiveness of the performed treatment. The soil sorption capacity was examined towards copper (Cu) and cadmium (Cd) using a batch adsorption method. The metal concentration was determined using a atomic absorption spectrometer working in the graphite cuvette technique (ContrAA 800, Analytik Jena, Germany). Porosity of the soils was examined using a mercury porosimetry (autopore IV 9500, Micrometrics INC, USA).

It was observed that all modifications using carbonaceous materials improved total pore area, average pore diameter, and total porosity of the soil, which was mainly associated with highly porous structure and relatively large specific surface area of the applied solids. The modification with activated carbon and cationic polyacrylamide resulted in the highest increase in total pore area. Carbon-rich materials could not only increase specific surface area and porosity of the soil, but also form organo-mineral connections, improving the number of active centers. Consequently, they increase soil sorption capacity towards Cu and Cd. The activated carbon application improved their 3- and 1.9-fold adsorption, respectively. The presence of polymers further increased their adsorption on the soil.

The research was founded by National Science Centre, Poland (2021/41/B/NZ9/03059).

How to cite: Kukowska, S., Grygorczuk-Płaneta, K., and Szewczuk-Karpisz, K.: Changes in soil structure and sorption capacity after mixed treatment with macromolecular compounds and orange peels-derived activated carbons , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19332, https://doi.org/10.5194/egusphere-egu26-19332, 2026.

EGU26-19666 | Posters virtual | VPS17

Enhancing the representation of human activities’ impact on surface processes to improve the model’s ability to simulate reality on global scale 

Xiaoping Zhang, Rui Li, Baoyuan Liu, Qinke Yang, Jose Alfonso Gomez Carlero, Gema Guzman, Peter Strauss, and Tomas Dostal

Over the past decades, the World is suffering from a serious process of land degradation as a result of global climate change and the increasingly acute conflicts among population, resources and the environment. According to IGBPS (2018, 2023), the area of degraded soil worldwide is continuously increasing, and the global soil health situation is still deteriorating, with which soil erosion was regarded as the 1st threat to the planet soil.  In order to reverse this trend towards land degradation, many regions and countries have carried out sustained and painstaking initiatives for soil and water conservation, whose results has been monitored using different methodologies, and providing efficient recommendation for local government. It is urgent to adopt state of the art technologies including the latest earth observation techniques to evaluate global soil erosion status and soil conservation benefit in a standardized way.  Accurately achieving the status of global soil erosion and the distribution and types of soil and water conservation measures, will help to illustrate the difference in effectiveness of soil/water conservation practices, improve current technologies, promote soil/water conservation measures, eliminate interregional imbalances and promote the United Nations’ Sustainable Development Goals using solid science.

         Among numerous erosion models, only the USLE-family models are frequently employed in regional and global-scale soil erosion studies. Current research has established the distribution patterns of soil erosion at the global scale. However, significant challenge remains in balancing a model’s ability to represent real surface processes, its accuracy, and the target objectives f different levels of government.        For global erosion surveys and mapping (GSERmap), we will draw upon experiences from China’s 2010 Soil and Water Conservation Census. By employing an unequal probability sampling units and investigation methods, combined with high-resolution remote sensing imagery, we aim to enhance the models’ simulation capability of real-world surface processes while maintaining a certain accuracy.

How to cite: Zhang, X., Li, R., Liu, B., Yang, Q., Gomez Carlero, J. A., Guzman, G., Strauss, P., and Dostal, T.: Enhancing the representation of human activities’ impact on surface processes to improve the model’s ability to simulate reality on global scale, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19666, https://doi.org/10.5194/egusphere-egu26-19666, 2026.

EGU26-20534 | ECS | Posters virtual | VPS17

Irrigation activates soil inorganic carbon dynamics in a calcareous mediterranean agroecosystem 

Ana P. Conte, Rodrigo Antón, Alberto Enrique, Isabel S. de Soto, and Iñigo Virto

The implementation of irrigation is a key management practice in arid and semi-arid regions to sustain agricultural productivity. Irrigation modifies the soil carbon cycle [1], [2] but its effects on soil inorganic carbon (SIC) have received far less attention than those on soil organic carbon. However, SIC constitutes most of the soil carbon stock in calcareous soils of these regions. Understanding how irrigation interacts with SIC dynamics, governed by carbonate dissolution and precipitation processes, is crucial to assess soil carbon stability and its response to management changes.

This study compares two contrasting management scenarios, rainfed maize and irrigated maize, and evaluated how irrigation affected the dynamics of the SIC in an experimental plot in Navarra (northern Spain) historically cultivated with rainfed wheat. We quantified SIC and SOC contents in bulk soil and in coarse (>50 µm) and fine (<50 µm) fractions of the tilled layer (0–30 cm) of a calcareous soil (⁓40% CaCO₃), together with the isotopic signatures of SOC (δ¹³C-SOC) and SIC (δ¹³C-SIC) along the first 7 years of the trial, as direct assessment of SIC isotopic signatures provides a more reliable estimate of pedogenic carbonate contributions than commonly used mixing equations, avoiding biases associated with C3–C4 crop changes [3].

After 7 years, it was found that the accumulated SOC inputs were higher in irrigated maize (24.0 Mg C ha⁻¹) than in rainfed maize (14.8 Mg C ha⁻¹).  Therefore, irrigated maize showed an increase in SOC stocks of +7.1% [4]. With regard to total SIC, ⁓24% of soil carbonates were found in the coarse fraction and ⁓16% in the fine fraction. No differences were observed between treatments, either in total SIC or in the coarse fraction, but there were differences in the fine fraction of irrigated maize compared to rainfed maize (-1%).

Clear differences in δ¹³C-SIC were however observed between treatments. In bulk soil, δ¹³C-SIC decreased from −3.80‰ under rainfed maize to −4.14‰ under irrigated maize. In the coarse fraction, the shift was more pronounced, from −3.70‰ to −4.95‰, while intermediate changes were observed in the fine fraction (from −3.94‰ to −4.20‰). These isotopic shifts indicate that irrigation, together with increased organic matter inputs, activated carbonate dissolution–precipitation cycles, thereby increasing the relative contribution of pedogenic carbonates.

Furthermore, the preferential accumulation of SIC in the coarse fraction may be related to the formation of pseudo-sands driven by carbonate cementation within aggregates [5], highlighting the need to adjust ultrasonic energy during particle-size fractionation.

Overall, our results demonstrate that irrigation triggers SIC dynamics in calcareous agricultural soils, promoting carbonate dissolution and precipitation processes even in the absence of significant changes in total SIC content, and emphasize the importance of jointly considering SOC and SIC to accurately interpret pedogenic carbonate formation under contrasting agricultural management regimes.

 

References

[1] Ball et al. (2023), https://doi.org/10.1016/j.soilbio.2023.109189

[2] de Soto et al. (2017), https://doi.org/10.1016/j.geoderma.2017.03.005

[3] de Soto et al. (2024), https://doi.org/10.1016/j.catena.2024.108362

[4] Antón et al. (2022), https://doi.org/10.3389/fsoil.2022.831775

[5] Rowley et al. (2018), https://doi.org/10.1007/s10533-017-0410-1

How to cite: Conte, A. P., Antón, R., Enrique, A., de Soto, I. S., and Virto, I.: Irrigation activates soil inorganic carbon dynamics in a calcareous mediterranean agroecosystem, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20534, https://doi.org/10.5194/egusphere-egu26-20534, 2026.

 In order to reveal the sorting characteristics and transport mechanism of sediment on the steep slope Of engineering accumulation driven by runoff,three simulated runoff scour experiments were designed under The conditions of 10,20,and30 L/min from above to analyze the particle distribution characteristics of erosion sediment on the steep slope(32°) of the accumulation body of the Yangling project. The results showed that the clay and fine silt in the eroded sediment (before dispersion) increased significantly compared with the original soil, which was easy to produce erosion. The influence of runoff on aggregate fragmentation of erosion sediment clay content and the influence of runoff on pellet crushing effect on clay content is negative when runoff power is less than 1.709N/(m•s), but positive when runoff power is greaterthan3.89N/(m•s). In sediment,fine and coarse silt particles are mainly transported in the form of single grain, while clay and sand particles are mostly transported in the form of aggregates. Clay particles are enriched and sand particles are depleted. The sediment particle size determines the main transport mode,<0.11mm sediment particles are mainly suspended saltation transport,>0.11mm sediment particles are mainly rolling transport,More than 80% erosion sediment particles are transported by suspended saltation, and the contribution rate of rolling transport increases first and then decreases with the increase of runoff transport capacity. The conclusion of this study will help to reveal the micro mechanism of slope water erosion process of engineering accumulation body, and provide scientific basis for improving the prediction accuracy of slope water erosion model of engineering accumulation.

How to cite: Gao, Z.: Study on Sediment Sorting Characteristic sand Transport Mechanism of  Engineering Accumulation Slope Erosion, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20591, https://doi.org/10.5194/egusphere-egu26-20591, 2026.

EGU26-20735 | Posters virtual | VPS17

Effects of historical land use changes on soil carbon, nitrogen, and microbial communities in an alpine sandy region of northwestern China 

Jinhong Guan, Lei Deng, Jinlu Guo, Yuan Wang, Wenjing Li, Zhe Chen, Guilin Cao, Shixiong Wang, Huichun Xie, Xiaogang Li, and Wenying Wang

Land use change plays a crucial role in the dynamics of soil carbon and nitrogen, thereby influencing soil fertility. However, the effects of historical land use changes on deep soil carbon and nitrogen dynamics, as well as microbial community composition, in alpine sandy regions remain poorly understood. Therefore, this study aimed to investigate how different historical land-use types regulate soil carbon and nitrogen and shape microbial community structure along a deep soil profile in an alpine sandy ecosystem. The study site located at elevation of 2800 m, experiences an arid climate, with an annual mean temperature of 3.9°C, an average annual precipitation of 246.3 mm, and an annual potential evaporation of 1,716.7 mm, thereby classifying the area as an alpine arid region with predominantly sandy soils. This study investigated a 23-year-old Caragana microphylla shrub forest in the Gonghe Basin, northwestern China. Three land-use types were established: post-agricultural reforestation on sandy land (PR), where former cropland was converted to forest 23 years ago, direct afforestation on sandy land (PF), established directly on sandy land without prior agricultural use, and bare sandy land as a control (CK), which remained uncultivated and unafforested. Soil carbon, nitrogen, and microbial community structure were examined across the 0–500 cm soil profile among the three land-use types. Results indicated that historical land-use changes significantly influenced the storage of soil organic carbon (SOC), inorganic carbon (SIC), and total nitrogen (STN). Average concentrations of SOC, SIC, and STN across the 0–500 cm soil profile were highest in PR (2.40, 10.37, and 0.28 g·kg⁻¹, respectively), followed by PF (1.46, 9.53, and 0.17 g·kg⁻¹), and lowest in CK (0.89, 8.31, and 0.11 g·kg⁻¹). SOC and STN storage within each 100 cm depth increment were also greater in PR than in PF and CK. Soil water content emerged as a critical environmental factor regulating deep soil carbon and nitrogen cycling. Microbial diversity was highest in the 0–40 cm layer under PR, whereas PF exhibited greater diversity in deeper soil layers (100–500 cm). Bacterial communities were more sensitive to historical land-use changes than fungal communities. In CK, microbial communities were primarily influenced by soil physical factors, including pH, soil water content, and electrical conductivity, whereas in PF, SOC and STN were the dominant controlling factors. In PR, SIC content, soil bulk density, and soil water content played major regulatory roles. Overall, the post-agricultural reforestation model in alpine sandy regions demonstrates greater effectiveness than direct afforestation on sandy land in enhancing SOC, SIC, and STN storage across the 0–500 cm soil profile and in promoting surface soil microbial diversity. In contrast, direct afforestation on sandy land plays a distinct ecological role in maintaining microbial diversity in deeper soil layers. These findings highlight that, in sandy land restoration, consideration of the long-term legacy effects of historical land-use conversion is essential for promoting the sustainable development of desertification control strategies.

How to cite: Guan, J., Deng, L., Guo, J., Wang, Y., Li, W., Chen, Z., Cao, G., Wang, S., Xie, H., Li, X., and Wang, W.: Effects of historical land use changes on soil carbon, nitrogen, and microbial communities in an alpine sandy region of northwestern China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20735, https://doi.org/10.5194/egusphere-egu26-20735, 2026.

EGU26-21034 | Posters virtual | VPS17

Beyond indicator frequency: a systematic review towards integrated impact assessment of soil-based solutions to mitigate land desertification processes. 

Martinho A S Martins, Sofia Corticeiro, Marie-Cécile Gruselle, Jannes Stolte, and Jacob Keizer

Desertification, defined by the United Nations Convention to Combat Desertification (UNCCD) as land degradation in drylands driven by the interaction between climate variability and human activities, represents an escalating global threat, particularly in drought-prone regions. In Europe, large areas are already classified as high to very highly vulnerable to degradation, a situation expected to intensify under projected climate change scenarios and continued land-use pressures.

Recent estimates suggest that between 60 and 70% of soils in Europe are considered unhealthy, highlighting the urgent need for effective soil protection. Soil degradation compromises key ecosystem functions, including food production, water retention, nutrient cycling, carbon storage, and biodiversity conservation. If critical thresholds are exceeded, the resulting environmental and socio-economic consequences may become irreversible.

The EU Horizon project TERRASAFE aims to empower local communities in southern Europe and northern Africa to address the growing threat of desertification by promoting a suite of innovations, including nature-based solutions (biochar, compost, technosols, and hydrogels), sensor-based monitoring tools, and social approaches. The present work focuses exclusively on the four nature-based solutions, as these innovations directly modify soil properties and processes and are therefore most suitable for systematic evaluation through biophysical indicators. Although these solutions have been already tested across a range of dryland environments, their reported impacts remain unevenly investigated and fragmented across disciplines, indicators, and experimental scales. In this context, a robust understanding of the current state of knowledge is essential.

To address this need, the present study conducts a systematic review of the scientific literature assessing the effects of these four solutions under arid, semi-arid, and Mediterranean climatic conditions, with a specific focus on the indicators used to evaluate desertification-related processes. A wide range of soil, plant, and ecosystem indicators was examined and synthesized to determine whether they are being investigated evenly or whether critical indicators remain underrepresented in the current state of the art.

Preliminary screening reveals a marked dominance of physical, chemical, and productivity-related indicators, while biological, ecotoxicological, and eco-physiological indicators appear comparatively neglected. Identifying these knowledge gaps is pivotal to avoid partial interpretations of solution performance and to support broader, integrated impact assessments that adequately capture key desertification mechanisms.

In a subsequent phase, building on this representativeness analysis, the study will advance beyond indicator frequency, to identify which indicators most effectively explain desertification processes. This will provide a foundation to more targeted, meaningful, and decision-relevant monitoring strategies in regions with high vulnerability to desertification.

How to cite: Martins, M. A. S., Corticeiro, S., Gruselle, M.-C., Stolte, J., and Keizer, J.: Beyond indicator frequency: a systematic review towards integrated impact assessment of soil-based solutions to mitigate land desertification processes., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21034, https://doi.org/10.5194/egusphere-egu26-21034, 2026.

EGU26-21561 | Posters virtual | VPS17

Impact of different pre-crops on soil nitrogen and growth of following winter wheat 

Dennis Grunwald, Heinz-Josef Koch, and Anna Jacobs

Winter wheat yields are varying by preceding crop as shown for certain preceding crops like wheat itself, winter oilseed rape or different legumes. However, there is hardly any published data on the pre-crop effect of other economically important crops such as sugar beet and silage maize. Further, the mechanisms of the pre-crop effect are partially unknown.

In this study, winter wheat was grown after wheat, winter oilseed rape, sugar beet and silage maize over two winter wheat growing periods (harvest years 2024 and 2025) in a long-term crop rotation trial in Central Germany. Soil mineral nitrogen (SMN) in 0-90 cm soil depth was analyzed at sowing in October, in December, January and February. After the last SMN sampling, plots were split into no (N0) and regular nitrogen fertilization (Nopt). At harvest, grain yield and straw biomass were recorded as well as nitrogen uptake.

Levels of SMN at sowing in October were clearly affected by pre-crop type with higher values after oilseed rape and lowest values after silage maize and sugar beet. In December, SMN levels were similar to October, while in January differences between the pre-crops became smaller and were mostly levelled by February. At N0, in both years, wheat grain yield as well as straw biomass was clearly highest after oilseed rape with up to 100 % more total biomass than after the other pre-crops. Other pre-crops had similar effects on total biomass. At Nopt, differences between the pre-crops were overall much lower, yet highest yields were found after oilseed rape.

December SMN levels correlated with grain yields at N0 over both years, while a similar correlation was even found under Nopt conditions in one of the study years. Thus, it appears nitrogen supply originating from pre-crops affects winter wheat growth. This might be one way pre-crops affect wheat growth beyond regulation of disease pressure.

How to cite: Grunwald, D., Koch, H.-J., and Jacobs, A.: Impact of different pre-crops on soil nitrogen and growth of following winter wheat, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21561, https://doi.org/10.5194/egusphere-egu26-21561, 2026.

EGU26-22150 | Posters virtual | VPS17

Basin-Scale Design of Irrigation Districts and Water Planning Strategies for Sustainable Agricultural Intensification 

Sergio Zubelzu, Mercedes Gelos, Juan Ignacio Pais, Laia Estrada, Gonzalo Medina, Juan Francisco Rosas, Miguel Carriquirry, and Rafael Navas

Uruguay is facing increasing pressure on its water resources due to a strong dependence on agricultural production and a rising frequency of droughts. These trends intensify competition between agricultural water use and environmental water requirements, highlighting the need for adaptive strategies that ensure both ecosystem integrity and agricultural productivity.

 

Irrigated agriculture relies on on-farm, gravity-fed systems in which water is supplied from reservoirs and distributed through open channel networks. Although effective at the field scale, this traditional approach creates challenges for water allocation control, monitoring, and basin-scale planning due to the large number of small reservoirs and users. In addition, it largely overlooks land use planning, as irrigation development tends to follow water availability rather than optimising the use of high-quality soils or avoiding areas with a high risk of nutrient runoff.

 

In this context, the study examines the sustainable intensification of irrigated agriculture in the Arapey Basin (northern Uruguay). The basin covers approximately 11,400 km² and contains extensive agricultural lands with high potential for crops such as rice, maize, and improved pastures. The Soil and Water Assessment Tool (SWAT) model, calibrated and validated against long-term streamflow records (30 years), was implemented to represent current and future water management scenarios, including the design of irrigation districts, reservoir operations, and their impacts on streamflow, nutrient transport, and agricultural production. The analysis includes the potential expansion of the reservoir system by seven new reservoirs, increasing total basin storage from 50 hm3 to 280 hm3 across 13 reservoirs.

 

Simulation results indicate that coordinated reservoir development and controlled water releases could support the expansion of irrigated agriculture while mitigating the effects of drought in the main river. Additionally, regulated reservoir operations and strategically located irrigation districts may help dilute downstream nutrient concentrations. However, the results also highlight the need for good management practices at the field scale to prevent local nutrient accumulation and degradation of water quality. The findings suggest that a basin-scale approach to irrigation development, combining expanded reservoir storage with careful management, can enable sustainable agricultural intensification in northern Uruguay while simultaneously enhancing water governance and protecting environmental resources.

How to cite: Zubelzu, S., Gelos, M., Pais, J. I., Estrada, L., Medina, G., Rosas, J. F., Carriquirry, M., and Navas, R.: Basin-Scale Design of Irrigation Districts and Water Planning Strategies for Sustainable Agricultural Intensification, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22150, https://doi.org/10.5194/egusphere-egu26-22150, 2026.

SSS1 – History, Education and Society of Soil Science

EGU26-44 | ECS | Orals | EOS1.1

SmarTerrae: Applied scientific training in geoscience from the earliest educational stages 

Lorena Salgado and Rubén Forján

We present an educational, learn-by-doing model that integrates real-world projects in geosciences, environmental management and conservation with the production and active dissemination of scientific outputs, complemented by digital communication as a largely passive outreach channel. The programme is motivated by a pronounced disconnection among young people—including those enrolled in environmental and territorial studies—and the place-based problems that surround them, a gap that jeopardizes the near-term availability of qualified environmental and land-management professionals. Our objective is to engage secondary, baccalaureate, vocational (FP), and undergraduate students as active participants in problem identification, project co-design, and execution—equipping them with the conceptual and technical tools needed to address environmental and territorial challenges in the north-west of the Iberian Peninsula.

A quasi-experimental pre-test–post-test design without a control group was implemented across multiple educational levels. The evolution of perceptions and competences was assessed using Likert-scale questionnaires, a register of scientific outputs, and baseline Instagram analytics. A distinctive feature of the model is that students are not only active co-designers of each project but also the primary executors of fieldwork and analysis under light supervision. In addition, they regularly present in age-appropriate scientific fora (e.g., school symposia, regional conferences), which deepens their sense of ownership and strengthens the bond with both the project and the territory.

Results indicate general improvements in interest in science and the environment, data-analysis capability, understanding of the research process, and willingness to participate in scientific activities. Tangible, transferable outputs were generated (e.g., a conference poster and articles published or in preparation), and continuity of training pathways was established. The @SmarTerrae profile is consolidating as a knowledge-transfer channel during the programme’s implementation phase, complementing in-person dissemination.

How to cite: Salgado, L. and Forján, R.: SmarTerrae: Applied scientific training in geoscience from the earliest educational stages, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-44, https://doi.org/10.5194/egusphere-egu26-44, 2026.

EGU26-712 | Posters on site | EOS1.1

Evaluating Dendroclimatology-Based Climate Education Across Stakeholder Groups in the Ukrainian Carpathians 

Dariia Kholiavchuk, Jan Šebesta, Maryna Dranichenko, Vladyslav Maievskyi, Alina Horiuk, Karolina Shestobanska, Yuliia Kuzenko, and Serhii Tokariuk

Translating paleoclimate evidence into actionable climate literacy requires context-specific pedagogical approaches. This study evaluates whether tangible proxy data (tree-ring records) enhances climate change comprehension compared to abstract datasets. It assesses differential educational strategies for three stakeholder groups with varying knowledge bases and decision-making responsibilities.

We conducted structured field workshops with 52 participants across three cohorts in the Ukrainian Carpathians during 2025 as part of the “Capacity Building for Research and Protection of Natural Forests in Western Ukraine” project. In collaboration with the Chernivtsi City Council’s Climate Policy Division, we designed learning objectives aligned with municipal adaptation planning needs, addressing a critical gap where protected area managers lack access to climate education. This integration of local ecological data with regional adaptation frameworks aims to enhance the effectiveness of climate adaptation efforts. University academics (n=8) and protected area rangers (n=4) attended seven-day workshops at Carpathian Biosphere Reserve and Vyzhnytskyi National Natural Park (July 2025). A separate field seminar at Tsetsyno highland employed a cascading pedagogy, where trained third-year geography students (n = 7) facilitated learning for second-year students (n = 7) and secondary pupils (grades 9-12, n = 25) in October 2025. All participants completed pre-workshop climate knowledge assessments, post-workshop evaluations, and structured feedback surveys (100% response rate).

Standardised content included physical examination of increment cores from 50- to 200-year-old beech and spruce, interpretation of ring-width chronologies showing documented climate extremes (the 1990s warming and the 2003 heatwave), soil and vegetation analysis, and regional temperature reconstruction visualisation (1750-2024). Municipal climate policy staff co-designed ranger modules emphasising management applications, including translating paleoclimate uncertainty into risk assessment and developing evidence-based adaptation strategies. Pre-assessment revealed critical baseline differences. Academics demonstrated strong theoretical knowledge (mean: 78%) but limited practical application capacity. Rangers possessed detailed, contemporary observational knowledge (mean: 65%), but lacked a historical context of climate. 93% of them could not identify whether current warming rates were unprecedented regionally. Secondary students showed the lowest baseline comprehension (mean: 41%).

Post-workshop assessments revealed differential gains among the groups. Rangers demonstrated the most significant increase in knowledge, particularly in interpreting timescales of climate variability. Academics showed modest gains, primarily in translating research for non-specialist audiences. Student moderators achieved substantial gains through the dual benefits of content mastery and pedagogical skill development. Secondary students showed significant improvements, with hands-on “tree doctor” activities generating the strongest engagement. Tangible proxy data effectively addressed the challenges of abstract temporal scales. Local site selection proved critical as participants connected evidence directly to familiar landscapes and management contexts.

Small sample sizes limit the generalizability of the findings, which represent a proof-of-concept that requires validation through larger studies and a cost-effectiveness analysis. However, the results suggest that paleoclimate proxies effectively communicate climate context to decision-makers who lack historical baselines, which is a critical gap in adaptation planning. The research-governance partnership model demonstrates how academic institutions can support the implementation of municipal climate policies through targeted capacity building, resulting in measurable outcomes in resource management and education.

How to cite: Kholiavchuk, D., Šebesta, J., Dranichenko, M., Maievskyi, V., Horiuk, A., Shestobanska, K., Kuzenko, Y., and Tokariuk, S.: Evaluating Dendroclimatology-Based Climate Education Across Stakeholder Groups in the Ukrainian Carpathians, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-712, https://doi.org/10.5194/egusphere-egu26-712, 2026.

EGU26-800 | ECS | Orals | EOS1.1

Speculative Storytelling as a Tool for Biodiversity and Climate Communication 

Chiara Anzolini, Fabio De Pascale, and Telmo Pievani

Communicating biodiversity loss and climate disruption to non-specialist audiences requires approaches that translate complex scientific processes into accessible and emotionally resonant forms. Speculative storytelling, including science fiction and future-oriented narratives, offers a promising strategy. By imagining plausible futures grounded in current scientific knowledge, these narratives illuminate the consequences of environmental change while encouraging reflection on societal choices, adaptive behaviours, and potential pathways forward.
Within the Science and Society spoke of the National Biodiversity Future Center (NBFC), funded by Italy’s National Recovery and Resilience Plan (PNRR), we adopt an interdisciplinary, research-informed framework for the design of such narratives. Science communicators operate as intermediaries between researchers and creative professionals – writers, illustrators, media producers – ensuring both scientific accuracy and narrative coherence. This role includes conceptual development, the selection of scientific experts based on thematic relevance and communication skills, and continuous collaboration throughout the creative process. It also extends to the public-facing dissemination of the resulting works, enabling coherence between scientific objectives, artistic expression, and audience engagement.

A key aspect of this approach is the strategic use of distinct speculative modes to engage different audiences. Dystopian narratives explore the ecological and social implications of biodiversity loss by depicting futures in which degraded ecosystems or climate-altered conditions shape daily life, effectively highlighting risks and long-term consequences. In contrast, positive or “post-crisis” futures imagine societies that have adopted sustainable practices and redefined their relationship with natural systems, promoting a sense of agency and motivating constructive engagement.
Embedding rigorous scientific input within imaginative world-building allows speculative storytelling to convey biodiversity and climate issues in ways that extend beyond traditional educational formats. By making abstract temporal scales, uncertain projections, and complex socio-ecological dynamics more concrete, these narratives support both understanding and emotional resonance. The use of varied media – from comics to podcasts – further enables the tailoring of content to diverse publics and communication contexts.
I will discuss selected initiatives that employ speculative storytelling for biodiversity and climate communication across different media formats. These examples show how interdisciplinary, narrative-driven approaches can create science communication that is both emotionally engaging and scientifically robust, enriching public understanding of environmental change.

How to cite: Anzolini, C., De Pascale, F., and Pievani, T.: Speculative Storytelling as a Tool for Biodiversity and Climate Communication, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-800, https://doi.org/10.5194/egusphere-egu26-800, 2026.

The project ‘Prison talks: bringing climate change conversations into the Irish prisons’ has been awarded an EGU Public Engagement Grant. This public engagement project brings talks on climate change, extreme weather events, and their impacts to inmates (people in prison) in Irish prisons, through the lens of science communication and outreach.

This project is raising awareness of climate change and its impacts among people in prison, a hard-to-reach audience with limited access to science communication and outreach activities. People in prison have an educational disadvantage, as many didn’t finish secondary school. This climate change outreach project plays a transformative role by providing values, knowledge, and skills to help individuals reach their full potential, motivate positive citizenship, develop social responsibility and personal transformation, increase well-being, and foster a sense of community and belonging, enabling them to live more successfully upon release.

People in prison completed anonymous surveys (quantitative and qualitative questions) before and after attending the climate change talks to assess their perceptions of climate change and science communication and to evaluate the project's effectiveness.

This presentation will outline the research methods, lesson plans, project’s findings and recommendations. The project ‘Prison talks: bringing climate change conversation into the Irish prisons’ highlights awareness of the importance of science communication and public engagement events among populations in prisons, which can be replicated in other countries.

How to cite: Mateus, C.: Prison talks: bringing climate change conversations into the Irish prisons, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-853, https://doi.org/10.5194/egusphere-egu26-853, 2026.

EGU26-1010 | ECS | Orals | EOS1.1

From Science to Practice: Co-Designing Windstorm Hazard & Risk Information for Dutch Portals 

Maria del Socorro Fonseca Cerda, Hans de Moel, Jeroen Aerts, Wouter Botzen, Koen Veenenbos, Lars de Ruig, Lisette Klok, and Toon Haer

Extreme winter windstorms are among the most expensive natural disasters in Europe and pose significant social and economic challenges.  The Netherlands frequently experiences winter storms that result in serious damage and large financial losses, especially for sectors like infrastructure and the built environment.

Climate Adaptation Services (CAS) created and manages national climate risk portals, such as the Klimaateffectatlas (www.klimaateffectatlas.nl) and the newly launched Dutch Climate Risk Portal (www.dutchclimaterisk.nl), which have helped the public in understanding vulnerabilities and risks by providing information on floods, drought, heat, and water-related hazards. However, until 2025, windstorms remained an essential missing risk, limiting urban and financial stakeholders' ability to interpret exposure and losses to these storms.

We studied winter windstorms, creating hazard maps and risk estimates. However, these scientific outputs are not directly applicable or understandable to stakeholders with diverse backgrounds and needs. Therefore, in collaboration with CAS, we co-created a map narrative and risk estimation tool, which was created through an iterative cycle of stakeholder workshops, feedback, and narrative design. The process aimed to make complex risk information accessible, usable, and intuitively understood for a wide range of users, regardless of technical background. The end result is the translation of windstorm science into practice, which is publicly available at the Klimaateffectatlas and the Dutch Climate Risk Portal, while ensuring relevance, clarity, and real-world impact for decision-makers.

How to cite: Fonseca Cerda, M. S., de Moel, H., Aerts, J., Botzen, W., Veenenbos, K., de Ruig, L., Klok, L., and Haer, T.: From Science to Practice: Co-Designing Windstorm Hazard & Risk Information for Dutch Portals, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1010, https://doi.org/10.5194/egusphere-egu26-1010, 2026.

EGU26-1385 | Orals | EOS1.1

Scientific Storytelling in Geodesy: Using Cartoons, Videos, and Digital Platforms to Reach New Audiences 

Martin Sehnal, Laura Sánchez, and Detlef Angermann

Geodesy plays a fundamental role in observing and understanding Earth system processes, yet its societal relevance often remains under-recognized outside the specialist community. To address this gap, the Global Geodetic Observing System (GGOS) of the International Association of Geodesy (IAG) has expanded its science communication activities during the recent years to make geodetic concepts, products, and techniques accessible to diverse audiences. This contribution presents an integrated communication strategy combining digital platforms, visual storytelling, and community-driven initiatives.

A central element is the renewed GGOS and IAG web platform https://geodesy.science, which provides an easy understandable introduction to geodesy as well as clear, non-technical explanations of observation techniques, products, and real-world applications.

Complementing this, a growing series of multilingual short films (https://www.youtube.com/@iag-ggos) communicates the importance of geodesy for monitoring climate change, natural hazards, sea-level rise, and global reference frames. These videos have reached broad international audiences and are frequently used in public outreach events such as open-day exhibitions.

The newest initiative is the Geodesy Cartoons project https://geodesy.science/cartoon , which communicates complex geodetic topics through approachable, story-driven visual narratives. The associated Geodesy Cartoon Competition actively involves the international geodetic community in co-creating educational illustrations. This participatory approach fosters shared ownership, stimulates creativity, and supports the development of communication material usable across research, teaching, and outreach.

Together, these multimedia tools illustrate how geodesy contributes to society’s daily life and decision-making. This presentation reflects on successes and challenges in designing accessible content, coordinating contributions across the global geodesy community, and evaluating engagement through online analytics and feedback. By sharing insights from these ongoing initiatives, we aim to contribute to a broader discussion on effective communication of Earth and space sciences and to strengthen connections between geodesy and the wider public.

How to cite: Sehnal, M., Sánchez, L., and Angermann, D.: Scientific Storytelling in Geodesy: Using Cartoons, Videos, and Digital Platforms to Reach New Audiences, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1385, https://doi.org/10.5194/egusphere-egu26-1385, 2026.

EGU26-1611 | Posters on site | EOS1.1

Innovative Tools for Science Education: Classroom Materials and Games from the INSE Project 

Eva Feldbacher, Laura Coulson, Carmen Sippl, Babette Lughammer, Ioana Capatu, Gregor Jöstl, Dominik Eibl, Michaela Panzenböck, Clara Rosenberger, Aimie Jung, and Gabriele Weigelhofer

The INSE project (Interdisciplinary Network for Science Education, led by WasserCluster Lunz and funded by GFF NÖ) has developed a comprehensive set of innovative, classroom-ready materials designed to strengthen scientific literacy across all educational levels. Co-created by researchers from the natural, social, and educational sciences together with partner schools, the materials translate core principles of scientific inquiry into engaging, age-appropriate learning experiences. All resources are freely available online and have been successfully tested in classroom settings.

For the primary level, the module The Forest of the Future introduces humanities-based inquiry through storytelling, exploratory learning, and creative techniques. Children investigate questions about environmental futures by engaging in narrative-based research tasks, learning how observation, interpretation, and imagination contribute to knowledge creation.

At the lower secondary level, a set of interactive Nature of Science (NOS) materials helps students understand the characteristics of scientific thinking. Activities highlight scientific evidence, uncertainty, the iterative nature of research, and the diversity of scientific methods. Abstract NOS concepts become tangible through hands-on tasks, role-play activities, and small-scale investigations.

For the upper secondary level, two modules allow students to conduct their own research:
(1) a natural science module in which students design and conduct an aquatic ecology respiration experiment, learning to formulate hypotheses, plan experiments, collect data, and interpret results; and
(2) a social science module that introduces learners to empirical social research through survey projects. Both modules guide students through the full research cycle and encourage reflective, evidence-informed thinking.

Beyond these core teaching packages, the project developed additional tools that make scientific inquiry accessible across informal and formal learning contexts: The research quartet Go Science introduces children aged 8+ to the fundamental steps of scientific inquiry through a playful card game. For teenagers, the Dive into Science learning app offers an interactive experience in which learners navigate scientific decisions based on real research questions - selecting hypotheses, designing experiments, analyzing sample datasets, and receiving direct feedback. Complementing these tools, the SCIBORG science board game supports learners aged 16+ in deepening their understanding of the scientific process.

Together, the INSE materials provide a powerful set of educational tools for fostering curiosity, critical thinking, scientific literacy, and trust in research. By showing how science works in practice, they support educators in integrating authentic scientific inquiry into everyday teaching.

In this presentation, we will showcase the full range of materials, allowing participants to explore, try out, and interact with the resources directly.

How to cite: Feldbacher, E., Coulson, L., Sippl, C., Lughammer, B., Capatu, I., Jöstl, G., Eibl, D., Panzenböck, M., Rosenberger, C., Jung, A., and Weigelhofer, G.: Innovative Tools for Science Education: Classroom Materials and Games from the INSE Project, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1611, https://doi.org/10.5194/egusphere-egu26-1611, 2026.

EGU26-1677 | Posters on site | EOS1.1

Integrating Science Communication into Spain’s Atmospheric products: Insights from RESPIRE and CAMS-NCP 

Karinna Matozinhos de Faria, Marc Guevara, Paula Castesana, Paula Camps, Ivan Lombardich, Oliver Legarreta, Antonia Frangeskou, Diana Urquiza, Carles Tena, Francesco Benincasa, Elliott Steven, Santiago Ramírez, Carlos Pérez García-Pando, Yolanda Luna, Ernesto Barrera, Omaira Elena Garcia Rodriguez, and Ruben del Campo

Effective science communication is a central component of two major atmospheric initiatives in Spain: the “high-Resolution air Emissions Systems to suPport modellIng and monitoRing Efforts” (RESPIRE) and the Spanish component of the Copernicus Atmosphere Monitoring Service – National Collaboration Programme (CAMS-NCP). Both efforts, led collaboratively by the Barcelona Supercomputing Center (BSC) and the Spanish Meteorological Agency (AEMET), demonstrate how communication can be embedded into the design, implementation and societal uptake of advanced environmental projects.

Within RESPIRE, communication is treated as a strategic pillar supporting the development of high-resolution emissions estimates for air quality modelling and greenhouse gas (GHG) monitoring in Spain. Activities range from intuitive digital interfaces and stakeholder workshops to targeted web updates, newsletters, and social media outreach. A central element is a user-centric web application that visualizes carbon dioxide (CO₂) and methane (CH₄) fluxes. Together, these channels translate complex modelling outputs into actionable knowledge for public administrations, scientists, the private sector and citizens.

The CAMS-NCP communication strategy complements this by strengthening the visibility, understanding and uptake of CAMS products across national, regional and local levels. Building on the user network established during the first phase of the programme, Phase 2 implements a structured Communication and User Outreach Plan targeting policymakers, researchers, air quality planners, NGOs and citizens. Communication actions include regular updates to the CAMS-NCP website, coordinated press and social media campaigns, annual use case publications, and participation in national scientific and environmental events. Three annual CAMS User Forums and a final dissemination event provide spaces for technical dialogue, co-design and user feedback.

Across both initiatives, long-term communication experience reveals consistent lessons. Iterative co-creation with users increases uptake and ensures that tools respond to real needs. Trust is fostered through transparent messaging that acknowledges uncertainties while demonstrating methodological robustness. Effective communication requires not oversimplification but a strategic tailoring of information to specific decision contexts, from policy design and mitigation tracking to public awareness.

The challenges faced are also shared: conveying technically dense atmospheric information to non-experts, managing expectations about product capabilities, and maintaining visibility amid numerous parallel initiatives. Despite this, successes are significant. RESPIRE- has received international recognition from the Integrated Global Greenhouse Gas Information System (IG3IS), an initiative of the World Meteorological Organization (WMO), while CAMS-NCP continues to expand its user community and reinforce national alignment with European atmospheric services.

Together, RESPIRE and CAMS-NCP show how integrating communication into environmental science projects enhances societal impact. By combining advanced modelling with intentional, user-focused communication, both initiatives contribute to a more informed society and strengthen Spain’s capacity to address climate change and air quality challenges.


 

 


 

How to cite: Matozinhos de Faria, K., Guevara, M., Castesana, P., Camps, P., Lombardich, I., Legarreta, O., Frangeskou, A., Urquiza, D., Tena, C., Benincasa, F., Steven, E., Ramírez, S., Pérez García-Pando, C., Luna, Y., Barrera, E., Elena Garcia Rodriguez, O., and del Campo, R.: Integrating Science Communication into Spain’s Atmospheric products: Insights from RESPIRE and CAMS-NCP, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1677, https://doi.org/10.5194/egusphere-egu26-1677, 2026.

EGU26-1870 | Orals | EOS1.1

Interactive wetland education: Classroom materials following a constructivist instructional framework (Horizon Europe Restore4Life) 

Gabriele Weigelhofer, Tim Grandjean, Eva Feldbacher, Clara Rosenberger, Viktória Miklósová, Alma Mikuška, Dubravka Čerba, Jasna Grabić, Zorica Srđević, and Gabriela Costea

Wetlands are some of the most endangered ecosystems on the planet. There is an urgent need for large-scale wetland restoration and protection efforts that involve local community support. In our Horizon Europe project, Restore4Life (https://restore4life.eu/citizen-science/), we have developed a range of innovative offline and online educational materials to raise awareness of the vital ecosystem services that wetlands provide to humans.

Our materials are based on the 5E constructivist learning model. This inquiry-based, student-centered approach encourages active learning as students’ knowledge is built on understanding connections and processes. The five phases start with capturing students' interest and assessing prior knowledge/misconceptions (Engage), leading to investigating topics through hands-on activities and observations (Explore). In the Explain phase, students interpret their findings with the teacher's support. The last two phases focus on the application of the students’ newly acquired knowledge to deepen their understanding (Elaborate) and, finally, on the knowledge assessment by students and teachers (Evaluate). While our materials were developed for 12-14-year-olds, they can be easily adapted to younger or older kids.

Beyond these core teaching packages, the project developed additional tools, such as the “Blue-Green Space4All” game, a dynamic Wetland Fresk, available in both online and offline formats. A manual and a video provide instructions for building a simple treatment wetland, and our Wetland4Life App can be used to assess the wetland status directly in the field. All resources are freely available online (Zenodo) and have been successfully tested in classroom settings. Together, the Restore4Life materials provide a robust set of educational tools for fostering understanding of the significance of intact wetlands for human well-being.

In this presentation, we will showcase 5E teaching materials on the social, economic, and ecological benefits of intact wetlands, including supplying construction materials, providing recreational areas, and mitigating climate change and pollution. Participants can explore, test, and interact with the materials. Restore4Life is funded by the European Union.

How to cite: Weigelhofer, G., Grandjean, T., Feldbacher, E., Rosenberger, C., Miklósová, V., Mikuška, A., Čerba, D., Grabić, J., Srđević, Z., and Costea, G.: Interactive wetland education: Classroom materials following a constructivist instructional framework (Horizon Europe Restore4Life), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1870, https://doi.org/10.5194/egusphere-egu26-1870, 2026.

EGU26-1949 | Orals | EOS1.1

A little bit of activism increases trust in climate scientists 

Erik van Sebille, Celine Weel, Rens Vliegenthart, and Mark Bos

Some climate scientists refrain from advocacy and activism in their science communication because they fear it decreases their credibility. But whether there is indeed a relation between activism and credibility can be tested.

Here, we discuss the results of an experiment where 1,000 Dutch respondents first read a text on the impacts of the greening of gardens. Respondents are randomly assigned to either a version written in neutral tone, or a version written in an advocating tone. We then compare how the respondents perceive the credibility of the authoring scientist in these texts.

Our analyses show that the perceived credibility of the scientist who authored the text increases by advocacy overall, and that the advocating scientist is considered more credible than the neutral scientist specifically in their perceived sensitivity and care for society.

Based on these results, we conclude that advocacy can increase the climate scientist's average perceived credibility. This study may thus serve as endorsement for the many climate scientists who are willing to take a more advocacy-driven approach in their communications but are unsure of the consequences.

How to cite: van Sebille, E., Weel, C., Vliegenthart, R., and Bos, M.: A little bit of activism increases trust in climate scientists, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1949, https://doi.org/10.5194/egusphere-egu26-1949, 2026.

It has been well documented that social norms play a key role in motivating behavioral change. Although research on the effects of normative messages on pro-environmental decision-making has increased in recent years, our understanding of how these messages influence behavior remains limited (Chung & Lapinski, 2024). In particular, many pro-environmental behaviors have not yet achieved widespread adoption, and normative influences are often ineffective in such contexts. Consequently, scholars have begun to focus on dynamic norms, which refer to changing patterns of norms surrounding specific behaviors (Sparkman & Walton, 2017). When only a minority engages in a particular behavior, static norms that reflect behavior at a single point in time may inadvertently discourage action by emphasizing low participation rates. In contrast, dynamic norms, which highlight increasing popularity of a given behavior, have been shown to promote engagement (Sparkman & Walton, 2017). Accordingly, dynamic norms are considered particularly effective in contexts where pro-environmental behaviors have not yet become the majority practice. However, empirical evidence remains limited, and existing findings are inconsistent.

To advance understanding of norm framing effects (static vs. dynamic), the present study examines the underlying mechanisms through which norm framing influences behavior and investigates how these effects vary as a function of individual skepticism, specifically in the context of climate change. Environmental skepticism—defined as the tendency to doubt the seriousness, causes, or scientific evidence of environmental problems—has been identified as a key factor hindering effective environmental communication and behavior change.

An online experiment was conducted with 367 participants in South Korea. Participants first completed measures assessing climate change skepticism and were then randomly assigned to one of two norm-framing conditions (static vs. dynamic) related to pro-environmental behaviors aimed at mitigating climate change. They subsequently responded to measures of key variables.

The results indicated that the interaction between norm framing and skepticism did not significantly affect preconformity; however, it had a significant effect on reactance. Specifically, higher levels of skepticism were associated with greater reactance in response to dynamic norm messages compared to static norm messages. Moreover, this increased reactance was associated with reduced pro-environmental attitudes and behavioral intentions. This study contributes to the theoretical understanding of normative influence and climate change skepticism and offers practical implications for climate communication as well as directions for future research.

 

References

Chung, M., & Lapinski, M. K. (2024). The effect of dynamic norms messages and group identity on pro-environmental behaviors. Communication Research, 51(4), 439–462.

Sparkman, G., & Walton, G. M. (2017). Dynamic norms promote sustainable behavior, even if it is counternormative. Psychological Science, 28(11), 1663–1674.

How to cite: Kim, J. and Shin, G.: Normative Influences and Climate Change Mitigation: How Skeptical Individuals Respond to Dynamic Norm Messages and Why, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2148, https://doi.org/10.5194/egusphere-egu26-2148, 2026.

EGU26-2340 | Posters on site | EOS1.1

Expanding remote sensing–based environmental education: the Ecoview competition from national to international level 

Svitlana Babiichuk, Stanislav Dovgyi, and Lidiia Davybida

The rapid development of Earth observation technologies presents significant opportunities to promote environmental responsibility and data literacy globally. Building on the success of the All-Ukrainian competition "Ekopohliad" ("Ecoview"), established in 2019 by the GIS and Remote Sensing Laboratory of the National Centre "Junior Academy of Sciences of Ukraine", the initiative was expanded internationally in 2024 and 2025. The International Ecoview competition aims to engage school students (14-18 years old) from different countries in investigating real environmental and climate-related problems using open satellite data and geospatial tools. Participation requires the use of open-access remote sensing datasets and their analysis through accessible platforms, such as Copernicus Browser, Google Earth Engine, NASA Giovanni, NASA Worldview, Google Earth Pro, and QGIS.

The competition combines independent student research, mentor guidance, and evaluation by an international jury of experts in Earth observation and environmental science. Educational support includes webinars, methodological guidelines, and a video course on satellite data and GIS analysis, ensuring students develop practical research and analytical competencies. 

The first international edition in 2024 engaged 96 students from all school grades (K–12) from Ukraine and 14 other countries. In 2025, the competition was limited to participants aged 14–18 years to ensure fair competition among students of comparable age, engaging 60 students from Ukraine and 16 foreign countries, with balanced representation from Europe, Asia, Africa, and Latin America. Twenty finalists presented research covering a wide range of environmental topics, including urban environments, forests, surface water, desertification, extreme events, climate change, and notably, the ecological consequences of war. The diversity of geographical contexts allowed participants to compare environmental processes across regions and to develop a broader understanding of global environmental challenges.

Preliminary outcomes indicate that the international format of Ecoview enhances students' motivation, promotes critical thinking, and improves their ability to work with primary geospatial data sources. The competition also contributes to the formation of an international youth community interested in applying remote sensing for environmental research and sustainable development. These positive results demonstrate the project's effectiveness and underscore the need for continued support and expansion of the initiative.

Future priorities include expanding participation, strengthening the educational component with updated materials, promoting interdisciplinary research, and further developing mentor and expert networks. These plans aim to inspire continued engagement and innovation in environmental education.

The experience of scaling Ecoview from a national to an international initiative demonstrates its potential as a replicable model for integrating Earth observation into school-level science education while addressing complex global environmental challenges.

How to cite: Babiichuk, S., Dovgyi, S., and Davybida, L.: Expanding remote sensing–based environmental education: the Ecoview competition from national to international level, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2340, https://doi.org/10.5194/egusphere-egu26-2340, 2026.

The water–energy–food–ecosystems (WEFE) nexus is increasingly recognized as a promising approach to addressing ‘wicked problems’, that is, complex challenges marked by uncertainty and conflicting interests. Climate extremes are exposing vulnerabilities and trade-offs within the nexus, underscoring the need for co-designed, participatory governance approaches that move beyond sectoral silos and expert-driven decision-making. This approach emphasises social learning, knowledge co-production, and exchange as means of integrating scientific expertise, policy priorities, and local community perspectives. By fostering cross-sector collaboration, co-designed processes can generate trusted and actionable solutions that are responsive to both local and systemic challenges.

This study introduces a collaborative, multi-stakeholder framework to explore the vision of the WEFE nexus, identify key internal and external drivers of change, and co-design solutions and policy scenarios that reinforce interlinkages between nexus dimensions under climate change. Lake Como, northern Italy, serves as a case study due to competing water demands and increasing impacts of extreme weather events. Between October 2023 and February 2025, we conducted a series of dialogues with 20 key stakeholders representing each nexus dimension (e.g., lake operator, regional government, energy companies, irrigation districts, environmental platforms, municipalities). These dialogues combined semi-structured interviews, questionnaires, and workshops. Content analysis and statistical methods were used to examine stakeholders’ narratives, providing insights on 1) a shared vision of the nexus dimensions, 2) assessment of two policy scenarios: hydropower maximization and risk management, 3) evaluation of proposed solutions in terms of priority, relevance, effects on nexus dimensions, facilitation instruments, and implementation barriers, and 4) governance standards in the decision-making process.

The main findings show that nexus dialogues are a central vehicle for operationalising the WEFE nexus. They enabled a deeper understanding of the local context and associated needs, grounded nexus assessments in real-world conditions, and fostered social learning through stakeholders’ engagement. Stakeholders agreed that the nexus is fragile, highlighting the need to reinforce the green energy transition, innovate in food security, and better align human pressures across sectors. The two policy scenarios were analysed with respect to the benefits and impacts of each nexus dimension. Selected solutions –such as changes in hydropower licenses, adjustments in ecological flow standards, adaptations in lake management protocols, and insurance programs to address weather extremes– were evaluated based on stakeholders’ preferences. Governance analysis revealed the multifunctional roles of specific stakeholders (e.g., lake operator, irrigation districts, environmental associations), gaps in representativeness (e.g., mountain communities, municipalities), and participants’ aims to both negotiate and influence decisions. By placing stakeholder engagement at the core of co-designed policy scenarios, this work contributes actionable knowledge for policymakers and practitioners tackling WEFE nexus challenges in climate-exposed regions worldwide.

How to cite: Ricart, S. and Castelletti, A.: Co-Designed, Stakeholder-Driven Governance for the WEFE Nexus under Climate Extremes: Lessons from Lake Como, Italy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2541, https://doi.org/10.5194/egusphere-egu26-2541, 2026.

EGU26-3476 | Posters on site | EOS1.1

The Rocca di Papa (Italy) INGV Geoscience Museum: the last four years of activities  

Laura Colini, Valeria Misiti, Tommaso Alberti, Giuseppe Falcone, Tiziana Lanza, Antonella Megna, Antonella Cirella, Nicola Pagliuca, Luca Tarchini, and Massimo Ranaldi

The Geoscience Museum of Rocca di Papa (MuGeos), Italy, promotes science communication and education on behalf of Istituto Nazionale di Geofisica e Vulcanologia (INGV). The Museum is located at the centre of Alban Hills volcanic district, a dormant volcano whose last eruptive activity, an hydromagmatic phase, is dated about 20 ky ago. During the last four years the MuGeos has carried out activities dedicated to generic non expert public also joined with the municipality of Rocca di Papa, and to schools from Primary to Secondary.  All these activities belong to the so called Third Mission of INGV that consists of the diffusion of scientific knowledge. The education activity has been focused on the involvement of a significant number of schools coming from the surrounding territory but also from distant regions. The activity with students has consisted of an interactive and attractive guided tour through the knowledge of the Earth system (i.e. space weather, geomagnetism, seismology and volcanology, climate change), the Alban Hills Volcano, its origin hazard and peculiarities.  Moreover, the Museum has been involved in the Science Together Net project cofunded by the European Union through the organization of the European Researcher Night. In this context we have proposed activities involving kids, children and adults such as geotrekking on Alban hill volcano, seminars, labs of explosive and effusive volcanoes, paper volcanoes (origami) and fairy tales on geological myths, guided tours of the Museum, stars and planets observation through a telescope. The above mentioned activities have been proposed also during the Museum opening of every second Sunday of the month.  Further several activities dedicated to generic public have been promoted together with Rocca di Papa municipality in occasion of local events such as the October Chestnut Festival, the World Moon Day, the World Horse Festival, the Marconian Day Recurrence etc. During these popular events the MuGeos has been a fundamental actor in the awareness of citizens towards natural hazard and risks related to the territory.  Feedbacks of all the MuGeos activities are extremely positive; same teachers keep coming to the Museum every scholastic year, many positive public review on Google platform, satisfaction questionnaire.

How to cite: Colini, L., Misiti, V., Alberti, T., Falcone, G., Lanza, T., Megna, A., Cirella, A., Pagliuca, N., Tarchini, L., and Ranaldi, M.: The Rocca di Papa (Italy) INGV Geoscience Museum: the last four years of activities , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3476, https://doi.org/10.5194/egusphere-egu26-3476, 2026.

YouTube hosts several collections of videos that focus on topical geological topics. This presentation is concerned with viewer engagement around content on one of these. The Shear Zone channel, as of January 2026, has over 15k subscribers with over 1.25M views across its ~300 videos. Launched as a platform for sharing educational content aimed at university earth science students, over its five-year existence, films have evolved to a more documentary style and accessed increasingly by broader communities outside formal education environments. Although viewing figures, compared with some other popular YouTubers are not astronomical, some have attracted >>25k views with full views running at >18% (which is high for YouTube!). Comments are permitted, though moderated – which, along with “likes” and channel analytics – give insight on the reach, popularity, opinions and background of viewers.

To lever YouTube algorithms, content is monetised by permitting advertising at the start of each video but not with commercial breaks mid-programme, which can degrade viewer experience. Non-monetised content is marginalised by the platform. YouTube also has very strong recency bias in the content it reveals and it promotes content that attracts viewer engagement and retention. While there is long-term, recurrent viewer engagement for short-course teaching materials on The Shear Zone, views of the broader documentary style material generally die off after a few days. Very few users explore content by access channel home-pages or playlists – hence the preponderance of rather sensationalist thumbnails used by other content-creators to attract views. This presentation reports viewer engagement on a subset of content published on The Shear Zone channel.

In April-May 2024, the BBC’s broadcast the fourth series of Race Across The World, advertised as a journey through “The Ring of Fire in east and south-east Asia.  Independent of this, as the series developed, I dropped two videos each week, appropriate to that particular segment of the race, on YouTube. Meta-tagged to RATW, these covered topics as diverse as megathrust earthquakes and tsunamis, Holocene sea-level change, palaeogeographic assembly of SE Asia, volcanic eruptions and biogeography. Views ranged from around 2k to 25k, the most popular being a video on Krakatoa. Interestingly the tie-in to RATW seems to have yielded rather few views – most of the audience came from E and SE Asia!

More popular videos have attracted disproportionate comment from what politely might be called adherents to non-mainstream geoscience ideas – even when these are only tangentially associated with the video contents. Two films have attracted particular attention: The disappearing glaciers of Mont Blanc (published August 2022); and Trashing continental drift (in two parts; published September 2025). These commentaries provide useful insights on the types of evidence and information used by these communities and the challenge of communicating science when contested.

 

 

How to cite: Butler, R.: The Shear Zone Channel – reflections on sharing geological science on YouTube, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3525, https://doi.org/10.5194/egusphere-egu26-3525, 2026.

EGU26-3534 | Orals | EOS1.1 | Angela Croome Award Lecture

Sleepy cat and the cosmic dust: Lessons for non-fiction writing from 10 years as a magazine editor  

Joshua Howgego

To oversimplify things slightly, there are two types of story in journalism: the short ones and the long ones. I’ve spent much of my career so far focussed on the latter, known as features, which has meant an awful lot of head-scratching about how to keep readers engaged, excited, gripped by a story that goes on for several thousand words – no simple matter in the age of AI slop and TikTok.  

In this lecture, I’ll spill the beans on how we do things at New Scientist magazine, where I have worked for just over 10 years, with special reference to an idea known as “sleepy cat” from the mind of my brilliant former colleague Graham Lawton. I’ll also show how I used some of the tricks of creating compelling narratives in one of the stories in my book, The Meteorite Hunters – namely the tale of Jon Larsen, the Norwegian jazz guitarist who hunts cosmic dust on urban rooftops. 

Whether you want to better understand how journalists think, yearn to improve your own writing, or just enjoy thinking about how stories work, there should be something of interest here for you.

How to cite: Howgego, J.: Sleepy cat and the cosmic dust: Lessons for non-fiction writing from 10 years as a magazine editor , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3534, https://doi.org/10.5194/egusphere-egu26-3534, 2026.

EGU26-4107 | Orals | EOS1.1

Relaunching the Skeptical Science website to include prebunking tools 

Bärbel Winkler and John Cook

Skeptical Science is a highly-visited website featuring 250 rebuttals of misinformation about climate change and climate solutions. Many of the rebuttals are written at multiple levels—basic, intermediate, and advanced—in order to reach as wide an audience as possible. Results from a survey we've been running on our website since November 2021 indicate that there is some room for improvements in order to make the rebuttals more robust. It is therefore rather good timing that we've been working on a complete overhaul of our website which should increase the effectiveness of rebuttals in reducing acceptance in climate myths and increasing acceptance of climate facts. A key goal of misinformation interventions is to increase reader discernment, the difference between belief in facts and belief in myths. While there was overall an increase in discernment, with the decrease in agreement with myths greater than the decrease in agreement with facts, the result that belief in climate facts decreased for at least some rebuttals is unwelcome and counter to the goal of Skeptical Science. In this presentation, we'll give a sneak peek at how the new website will look like. One important new feature will be the inclusion - where applicable - of the fallacies employed by a climate myth, so that a rebuttal on the new website will then include all three elements of a successful debunking: fact, myth and fallacy. In my presentation, I'll also highlight some of the other updated or new features this website relaunch will include.

How to cite: Winkler, B. and Cook, J.: Relaunching the Skeptical Science website to include prebunking tools, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4107, https://doi.org/10.5194/egusphere-egu26-4107, 2026.

EGU26-5228 | Posters on site | EOS1.1

Keeping users in the loop: Outreach activities for ECMWF IFS and AIFS forecast model updates 

Milana Vuckovic, Becky Hemingway, Martin Suttie, and Victoria Bennett

ECMWF develops and maintains operational forecasting systems, which include the physics-based Integrated Forecasting System (IFS) and the Artificial Intelligence Forecasting Systems (AIFS Single and AIFS Ensemble). These models are upgraded periodically, delivering significant scientific and technical improvements, however these changes pose challenges for users who need to understand the implications to their workflows and applications and make required modifications.

Outreach activities combine structured documentation, targeted email notifications of key upgrade milestones, and LinkedIn and the ECMWF forum posts to reach wider audiences and gather feedback. These channels are complemented by series of webinars and presentations at the annual Using ECMWF's Forecasts (UEF) meeting, where technical and scientific upgrades are presented and discussed with users.

This presentation will describe ECMWF’s outreach activities around IFS and AIFS model upgrades, which are designed to support a diverse user community, including researchers, operational forecasters and developers of AI driven applications, among others. Lessons learned and key challenges will be presented, these include addressing the needs and expectations of diverse audiences with different levels of expertise, synchronising communication with operational timelines and maintaining consistent narratives across platforms, ensuring that key information is accessible without overwhelming users.

How to cite: Vuckovic, M., Hemingway, B., Suttie, M., and Bennett, V.: Keeping users in the loop: Outreach activities for ECMWF IFS and AIFS forecast model updates, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5228, https://doi.org/10.5194/egusphere-egu26-5228, 2026.

EGU26-5425 | Posters on site | EOS1.1

User outreach and engagement at ECMWF: Examples of partnerships, outreach and innovation support 

Becky Hemingway, Milana Vuckovic, Cristina Ananasso, Chris Stewart, Julia Ioannu, Athina Trakas, Olga Loegl, and Stijn Vermoote

ECMWF’s Partnerships and Engagement section supports the effective use of ECMWF, Copernicus and Destination Earth services, datasets and infrastructure through partnerships and many targeted outreach and engagement activities. This work serves a diverse user community, including the National Meteorological Services (NMS) of ECMWF Member and Co-operating States (MS and CS), EU Member States, EU institutions and agencies, and WMO and other UN bodies, as well as a growing community of researchers, private companies, weather enthusiasts and other users.

This poster presents selected examples of outreach and engagement activities and shows how different approaches are combined to respond to evolving user needs and to build sustained dialogue with user communities. Liaison visits to ECMWF MS and CS NMSs support long-term collaboration and enable direct discussions on ECMWF activities including operational needs of forecasters. Further engagement is delivered through the Copernicus CAMS and C3S National Collaboration Programmes, which aim to strengthen the links with National Partner institutions and increase the uptake of Copernicus services at country level. In addition, the first two Copernicus Thematic Hub pilots, which focus on health and energy, are demonstrating the value of targeted outreach and support across these sectors.

Training activities are a key part of ECMWF's outreach and cover topics ranging from Numerical Weather Prediction and machine learning to software development and high-performance computing. Experience shows that combining clear explanations with practical examples is important for supporting users with different backgrounds and levels of experience, especially in an increasingly open science environment.

ECMWF Outreach also includes activities around ECMWF’s forecast model upgrades, such as updates to the Integrated Forecasting System (IFS) and the Artificial Intelligence Forecasting System (AIFS) in the medium, sub-seasonal and seasonal forecast ranges. These activities focus on communicating and explaining scientific and technical developments in the models and how they may effect user workflows, new forecast products, and how the updated models perform based on evaluation results.

Code for Earth programme offers hands-on, challenge-based opportunities for participants to develop innovative applications using ECMWF, Copernicus and Destination Earth data and software. The AI Weather Quest is a real-time international competition in which participants submit AI-based sub-seasonal forecasts in an operational-like setting, with results evaluated through transparent and openly documented methods.

How to cite: Hemingway, B., Vuckovic, M., Ananasso, C., Stewart, C., Ioannu, J., Trakas, A., Loegl, O., and Vermoote, S.: User outreach and engagement at ECMWF: Examples of partnerships, outreach and innovation support, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5425, https://doi.org/10.5194/egusphere-egu26-5425, 2026.

EGU26-5542 | ECS | Posters on site | EOS1.1

Graphic novel communicates changes in Arctic landscapes, fostering wonder and curiosity 

Domino Jones, Nina Kirchner, and Johanna Dahlkvist

The Arctic has long captured the imagination through its remoteness, wildlife, striking landscapes, and rich cultural histories. At the same time, Arctic environments are undergoing rapid and profound changes, with many landscapes expected to be transformed beyond contemporary recognition by the end of this century. Communicating these changes to non-specialist audiences presents a significant challenge: they unfold across vast spatial and temporal scales, are studied through multiple disciplinary lenses, and resist simple or singular narratives. From ancient glaciers to pioneering lichen, no single process exists in isolation. Rather, Arctic change emerges through the interaction of glaciological, geological, botanical, fluvial, and meteorological processes. Understanding and communicating this complexity requires approaches that can hold multiple perspectives together while making these remote landscapes emotionally accessible and relevant to the audience.

We present ‘Arctic Flowers’, a science communication graphic novel which explores changing Arctic landscapes through the lived experiences of scientists working in the Tarfala Valley of northern Sweden. As most of Sweden’s glaciers face complete disappearance before the year 2100, this story captures a pivotal moment in the region’s history. Rather than adopting a purely catastrophic narrative, ‘Arctic Flowers’ foregrounds nuance, emotional connection, and scientific practice through non-fiction visual storytelling. The narrative follows researchers at Tarfala Research Station as they document retreating glaciers and the parallel emergence of Arctic flora. A central narrative thread connects contemporary research to a rediscovered herbarium created in the 1960s by botanist Adélaïde Stork, allowing readers to grasp climate change through intergenerational scientific observation and long-term data.

Graphic novels offer a powerful medium for science communication, particularly for topics that span multiple spatial and temporal scales. Through the juxtaposition of panels, text, and imagery, multiple concepts can be laid out on the page together, encouraging reflection and synthesis from the audience. Shifts in perspective, scale, and framing are used to emphasize grandeur at multiple scales, from larger-than-life structures such as mountains, glaciers, and research station operations to small, attentive details—the textures of plants and rocks, or the correct way to hold an ice axe. By blending scientific data, historical context, personal experience, and observation of the landscape, the project aims to spark curiosity and invite readers to ask questions about the changing Arctic. This mirrors the inquisitive and exploratory approach practiced by scientists within the story, drawing on first-hand accounts and interviews with generations of researchers at Tarfala Research Station – their experience spanning six decades. We reflect on lessons learned from developing this work as a long-form science communication effort, including how narrative and character-driven inquiry can foster emotional engagement, encourage dialogue, and make Earth science accessible and meaningful to diverse audiences.

How to cite: Jones, D., Kirchner, N., and Dahlkvist, J.: Graphic novel communicates changes in Arctic landscapes, fostering wonder and curiosity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5542, https://doi.org/10.5194/egusphere-egu26-5542, 2026.

EGU26-6304 | Posters on site | EOS1.1

Slow Science Communication 

Siska Van Parys, Stijn Pardon, and Reinout Verbeke

Most science communication today is short and fast — but at the Institute of Natural Sciences we also try something different. Together with colleagues, Siska Van Parys works on long-form stories that highlight the institute’s core research areas — palaeontology, geology, archaeology, taxonomy, evolution — and the collections that support them. They create overview articles on the website, mini-documentaries about expeditions and fieldwork, and stories that put the spotlight on the people behind the research. 

Siska will share some of the projects she’s been involved in, what they hope to achieve with them, and why slow science communication has become part of the approach of the Institute of Natural Sciences.

The main examples will revolve around two geology projects: ROBOMINERS and LEAP. These scientific projects, carried out by the geologists of the Institute of Natural Sciences (Giorgia Stasi, Christian Burlet, Sophie Verheyden), were followed and documented by Siska and her colleagues. The results are two mini-documentaries and long-reads. 

How to cite: Van Parys, S., Pardon, S., and Verbeke, R.: Slow Science Communication, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6304, https://doi.org/10.5194/egusphere-egu26-6304, 2026.

Over the past decade, we have carried out sustained outreach activity on social media aimed at presenting seismic data to students and the general public. The primary goal has been not only to increase the visibility of Earth sciences, but also to highlight the fundamental role of data acquisition in subsequent scientific tasks, such as numerical modeling and tectonic interpretation. A significant part of this effort has focused on visualizing seismic waves generated by local, regional, and teleseismic earthquakes, often using data recorded by the GEO3BCN Educational Seismic Network deployed in northeastern Spain. These activities are particularly valuable in regions characterized by low to moderate seismicity, where public familiarity with earthquakes is generally limited.

Beyond earthquake-related content, we have also shared posts illustrating ground vibrations generated by non-tectonic natural processes and anthropogenic sources. Topics related to environmental seismology often attract strong public interest, as it is not widely known that natural phenomena such as tides, ocean waves, rainfall, wind, and thunder can be monitored using seismic data. Similarly, vibrations induced by human activity -from student movement between classrooms to crowd dynamics during music concerts or football matches- tend to generate considerable attention, sometimes even reaching mass media coverage. We leverage this curiosity as an opportunity to bring seismology, and Earth sciences more broadly, closer to society.

This work has benefited from partial support of the EPYSIM Project, funded by the Spanish Ministry of Science and Innovation (Ref.: PID2022-136981NB-I00).

How to cite: Diaz, J.: A long-term review of outreach activity on social media related to seismic data , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6484, https://doi.org/10.5194/egusphere-egu26-6484, 2026.

EGU26-7163 | ECS | Posters on site | EOS1.1

Altra Quota: a field-based monitoring and education initiative for Disaster Risk Management in the Western Italian Alps 

Vittorio Giordano, Maria Elena Alfano, Luigi Cafiero, Nike Chiesa Turiano, Martina Leone, Flavia Marini, and Andrea Vito Vacca

Effective Disaster Risk Management (DRM) education requires geoscientific knowledge to be grounded in local contexts and translated into practical skills for those involved in risk prevention and emergency response. Altra Quota is a monitoring initiative in the Western Italian Alps that integrates real-time environmental monitoring, field-based research, and dissemination activities. It operates through close collaboration with local administrations and stakeholders exposed to hydro-meteorological, hydrogeological and cryospheric hazards.

A core aim of the project is to support capacity building in DRM through risk communication and the dissemination of monitoring results. Data from hydrological, meteorological and geomorphological monitoring networks are actively employed in hands-on activities for students, practitioners and decision-makers, enabling participants to interpret real-world observations, understand early warning systems and explore decision-making under uncertainty. Through field-based training, laboratory activities and dissemination initiatives, the project bridges theoretical geoscientific concepts with operational DRM practices. These activities empower local communities to better understand risks and interpret information from monitoring and warning systems, which is crucial for effective prevention and rapid response to emergencies.

A key component of the project is the long-term monitoring of the Ciardoney Glacier, conducted in collaboration with the Italian Meteorological Society. The glacier’s retreat and the resulting hydrological stress offer a powerful case study to analyze and communicate the impacts of climate change on alpine water resources and downstream risks. By combining observations from ground stations, satellite data, and model simulations, the researchers from Altra Quota can offer engaging experiences that effectively contextualize hazards.

Ultimately, by linking scientific research, education, and community engagement, Altra Quota represents a model for DRM education that improves risk awareness, strengthens the dialogue between science and society, and supports informed decision-making under changing climatic conditions.

How to cite: Giordano, V., Alfano, M. E., Cafiero, L., Chiesa Turiano, N., Leone, M., Marini, F., and Vacca, A. V.: Altra Quota: a field-based monitoring and education initiative for Disaster Risk Management in the Western Italian Alps, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7163, https://doi.org/10.5194/egusphere-egu26-7163, 2026.

Belgium's compact territory contains an exceptionally rich geological record. Through repeated collisions and tectonic upheavals during our long journey from the southern hemisphere, layers from nearly every period of the past half billion years are exposed at the surface. The Planet Belgium project explores this remarkable geological heritage through a multimedia approach combining five immersive podcast episodes, five longread articles in popular science media, and five educational posters. Longreads are in Dutch, French and English.

In each episode and article, we venture into the field with Belgian experts and citizen scientists. Step by step, we reconstruct the sequential building of Belgium's subsurface through deep time. The project aims to convey a sense of wonder about geology and encourage audiences to see "boring" stones with new eyes.

Featured geological elements include Belgian whetstones and cobblestones, the famous red and black Belgian marble, bluestone, coal - our former "black gold" - and chalk, among others. The spectacular fossil collections at the Royal Belgian Institute of Natural Sciences in Brussels, including the world-famous Bernissart Iguanodons, tell the evolutionary history of life on Earth from the Cambrian up until the last Ice Age, bringing these ancient worlds to life for modern audiences.

This presentation (oral or in a poster session) will discuss the strategies employed to make deep time accessible and engaging across multiple formats (podcast, ‘scrollitelling’, posters, teaser videos), the challenges of translating expert knowledge for public audiences, and the role of aesthetic design in science communication. I will share lessons learned and evaluate the project's success.

The first episode is published here: https://www.naturalsciences.be/r/planetbelgium
Three episodes will be online at the time of the conference. 

How to cite: Verbeke, R. and Piessens, K.: Planet Belgium: narrating the geological odyssey of a country through multimedia storytelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7191, https://doi.org/10.5194/egusphere-egu26-7191, 2026.

The energy transition from fossil fuels to low-carbon energy systems is a crucial global aspect requiring sustainable and urgent solutions directed toward the use of renewable resources, such as geothermal energy. The general public still has little knowledge of geothermal energy, despite its advantages: misconceptions about safety, environmental impacts, and technological feasibility continue to hinder its wider adoption. To overcome these challenges, timely, transparent, and easily accessible public engagement strategies are required. In this scenario, translating complex geoscientific phenomena into stories that the general public can understand is key and demands effective science communication. An efficient way to promote interest and understanding is to combine scientific content with visual storytelling and illustration.
This poster outlines the creation of “The Magical Heat of the Earth”, an illustrated book for primary school students designed to convey the concept of geothermal energy and its application as an energy resource. The book was authored, designed, and illustrated at INGV (Istituto Nazionale di Geofisica e Vulcanologia, Italy) through ongoing collaboration between the geoscientist and the designer/illustrator. This analysis emphasises the creative and methodological processes involved in the product’s creation rather than focusing on the final outcome alone. The creative process is described as progressing from the initial scientific concept and narrative framework to visual research, character design, storyboard development, and final layout design, illustration, and typesetting. Significant focus is placed on the interaction between the scientist and the designer/illustrator, and on the balance achieved between scientific and artistic precision throughout the process. The case study indicates that using handcrafted, research-based illustrations remains an effective method for conveying scientific concepts, particularly to children. The authors reflect on simplification, the use of rhyming texts and visual metaphors, and emotional engagement as significant methods for educating individuals about science, particularly in fostering interest in geothermal energy and Earth sciences overall.

How to cite: Florindo, F. and Procesi, M.: From Geoscience to Visual Storytelling: an Illustrated Children’s Book to Communicate Geothermal Energy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7204, https://doi.org/10.5194/egusphere-egu26-7204, 2026.

EGU26-7398 | Posters on site | EOS1.1

Visualizing Science: The Role of Graphic Design in Educational and Outreach Activities at INGV 

Giuliana D'Addezio, Daniela Riposati, Francesca Di Laura, Patrizia Battelli, Federico Florindo, and Gianluca Nardi

One of the core missions of the Istituto Nazionale di Geofisica e Vulcanologia (INGV) is to promote awareness of geophysics and natural hazards through education and outreach. Central to this mission is the Laboratorio Grafica e Immagini, INGV’s primary hub for visual communication. Over the past five years, the laboratory has taken on an increasingly strategic role in bridging the gap between scientific research and public understanding.

This work presents a selection of educational materials—including books, scientific games, infographics, illustrated brochures, and interactive exhibits—designed to explain seismic, volcanic, and environmental phenomena to diverse audiences, ranging from school groups to the general public. Each product is developed in close collaboration with scientists to ensure accuracy, while leveraging visual storytelling techniques to enhance clarity and engagement.

Our work demonstrates that graphic design is not merely a supporting function, but a vital component of scientific communication—particularly in educational contexts, where visual language significantly improves learning and retention. We also reflect on key challenges, such as simplifying content without compromising accuracy, and designing for inclusivity. This contribution underscores the value of interdisciplinary collaboration between scientists and designers in achieving effective and impactful outreach.

How to cite: D'Addezio, G., Riposati, D., Di Laura, F., Battelli, P., Florindo, F., and Nardi, G.: Visualizing Science: The Role of Graphic Design in Educational and Outreach Activities at INGV, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7398, https://doi.org/10.5194/egusphere-egu26-7398, 2026.

EGU26-7827 | ECS | Orals | EOS1.1

Using sequential art to communicate scientific ocean drilling 

C. Nur Schuba, Sara Satolli, Natsumi Nakano, Morgane Brunet, Piero Bellanova, and Maria Jose Jurado and the Expedition 405 and 502E Scientists

Scientific ocean drilling offers a unique window into Earth processes that cannot be accessed through surface observations alone, but its remote offshore setting and technical complexity pose challenges for public communication. International drilling programs such as the International Ocean Discovery Program (IODP) and the International Ocean Drilling Programme (IODP3) are also inherently multinational and multilingual, yet these collaborative dimensions are not always reflected in expedition outreach materials.

This presentation introduces Chikyu Chronicles, a two-volume comics-based outreach project developed for IODP Expeditions 405 and 502E in the Japan Trench. The project uses illustrated sequential narratives to communicate shipboard science, engineering workflows, and everyday expedition life to middle-grade audiences while remaining grounded in real people, roles, and practices. Rather than emphasizing scientific results, the comics focus on portraying scientific ocean drilling as a collaborative activity shaped by operational constraints and teamwork. Each volume combines comics with book back matter designed to extend engagement beyond the narrative. Photographic sections document shipboard spaces, tools, and activities, allowing readers to connect simplified illustrations they have encountered in the book to physical environments and scale. Activity-based back matter invites participation through creative and interpretive exercises, including making science comics and identifying plate boundary patterns using multiple geophysical and geological datasets. Together, these elements form a hybrid communication model that supports place-making and causal reasoning.

Production of Chikyu Chronicles was embedded within the expedition environment and extended after sailing through distributed collaboration. Expedition participants contributed through interviews, reference materials, scientific review, editorial feedback, and translation assistance, ensuring linguistic accuracy and contextual fidelity without separating communication from scientific practice. Reported outcomes so far are qualitative and formative, drawing on informal feedback and basic reach metrics from real-time dissemination during Expedition 405, with structured audience evaluation currently underway. The project illustrates how comics-based outreach can align communication practices with the collaborative realities of international geoscience research.

How to cite: Schuba, C. N., Satolli, S., Nakano, N., Brunet, M., Bellanova, P., and Jurado, M. J. and the Expedition 405 and 502E Scientists: Using sequential art to communicate scientific ocean drilling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7827, https://doi.org/10.5194/egusphere-egu26-7827, 2026.

EGU26-7980 | Posters on site | EOS1.1

The 2024 Collectors Tour: A Case Study in Field-Based Geoscience Communication 

Jeffrey Munroe and Andrew Cassel

The “2024 Collectors Tour” was a field-based science communication initiative that employed narrative structure, place-based explanation, and methodological transparency to bring Critical Zone science alive for a non-specialist audience.  The Collectors Tour consists of a 21-episode video series produced during an 18-day, 4,500-km field campaign to empty mineral dust collectors deployed across Utah, Nevada, and Idaho in the southwestern United States.  This work was part of the DUST^2 project, funded by the US National Science Foundation to investigate the role of mineral dust erosion, transport, and deposition in the geoecological functioning of Earth surface environments (i.e. the “Critical Zone).  Each video of the Collectors Tour was anchored to the location where a specific dust collector is deployed, and used that location to introduce concepts related to mineral dust, soil formation, snow hydrology, climate variability, ecosystem function, and human influence.  In this way, the Collectors Tour embedded scientific explanation directly within active fieldwork, inviting viewers to observe how geoscience knowledge is generated in real settings.  The strategy of multiple sequential videos, produced and distributed in rapid succession, emphasized authenticity, continuity across episodes, and visual engagement with landscapes, transforming the routine annual campaign to service the dust collectors into a coherent outreach narrative.  The Collectors Tour also reflected lessons learned from long-term communication efforts, including the value of consistency, the power of storytelling grounded in genuine field practice, and the importance of acknowledging collaboration, logistics, and uncertainty.  To date the videos have received more than 2600 total views, making this a broadly successful and lasting science outreach success.​  As a case study, the Collectors Tour offers a replicable model for integrating science communication into ongoing field research and contributes to broader discussions on effective strategies for communicating science to diverse audiences. 

How to cite: Munroe, J. and Cassel, A.: The 2024 Collectors Tour: A Case Study in Field-Based Geoscience Communication, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7980, https://doi.org/10.5194/egusphere-egu26-7980, 2026.

Pollution of English waterways by untreated sewage discharged through Combined Sewer Overflows (CSOs) has become one of the most high-profile environmental issues in the UK. It is now a major political topic, featuring prominently in election campaigns, parliamentary inquiries, and resulting in new legislation. To better communicate this environmental issue and empower the public to take action against it, we created www.SewageMap.co.uk a user-friendly, real-time visualisation of sewage spills across England. SewageMap uniquely combines live CSO data with a hydrological model to identify rivers downstream of recent spills, making it particularly valuable for recreational water users such as swimmers, kayakers, and rowers. The platform is recommended by organisations representing these groups and is widely used by citizen scientists and campaigners.

To make the experience engaging and relatable, SewageMap makes prodigious use of playful design elements, including the ‘poop’ and other emojis to highlight the ‘gross’ nature of sewage pollution. Behind the scenes, SewageMap is powered by 'POOPy' (Pollution Discharge Monitoring in Object-Oriented Python), an open-source toolkit that standardises diverse CSO datasets and enables historical spill analysis. Data generated by POOPy has supported river protection groups and informed local planning meetings; we believe that data from SewageMap has even featured in parliamentary debates.

The website was developed with both desktop and mobile users in mind, validated by the fact that ~80% of users access SewageMap via mobile or tablet devices. This ensures accessibility for the majority of users and highlights that this should be a consideration for other web visualisations. Furthermore, SewageMap can be embedded within external pages, which has enabled major news organisations to integrate the map into articles, significantly amplifying its reach.

The impact of this tool has been substantial, and greater than expected when the project was started informally. The site has received over 300,000 visitors in the past 12 months, financial support from major NGOs such as RiverAction, and resulted in new collaborations across academic and non-academic sectors. Overall, these projects have emphasised, to us, how engaging design, accessibility & proactive engagement with a user-base can result in significant impact stemming from a relatively ‘simple’ scientific principle.

How to cite: Lipp, A. and Dawe, J.: www.SewageMap.co.uk and POOPy: Open-source tools for understanding and communicating the impacts of sewage pollution on waterways in real-time, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7995, https://doi.org/10.5194/egusphere-egu26-7995, 2026.

EGU26-8024 | Orals | EOS1.1

“Signals from the climate in FVG”: a magazine enhancing climate awareness and bridging the gap between science and society at the regional level 

Federica Flapp, Fulvio Stel, Elena Caprotti, Nicolò Tudorov, Silvia Stefanelli, Giovanni Bacaro, Renato R. Colucci, Lorenzo Consorti, Filippo Giorgi, Alessandro Peressotti, Fabio Raicich, and Cosimo Solidoro

The informative publication “Segnali dal Clima in FVG” (Signals from the climate in FVG) provides a local and regional perspective on climate change, specifically tailored for the citizens of Friuli Venezia Giulia region (northeastern Italy). Structured around three core themes - Changes, Impacts and Actions - the publication serves as a bridge between the scientific community and the general public.

VISION AND COLLABORATION

This initiative stems from the Clima FVG Working Group*, a collaborative network of the region’s leading scientific and research institutions. The group operates on the principle that technological and scientific progress must be accompanied by public awareness and education to effectively tackle climate challenges. By translating complex data and information into an engaging, accessible format, the publication bridges the gap between expert research and citizen understanding.

CONTENT AND EDITORIAL APPROACH

Designed as an annual popular science magazine, the publication explores a wide array of climate-related themes, including the cryosphere, marine and lagoon ecosystems, forestry, wildlife and terrestrial ecosystems, agriculture, human health and urban settlements, as well as the psychological and social dimensions of climate change. Each issue explores a diverse range of topics, while remaining anchored to some core principles and maintaining key defining features:

  • Local-to-Global Connection: by recalling recent local weather events and by linking regional climate trends to the global climate change, the publication makes a far-reaching issue feel immediate and relevant to the local community;
  • Accessible Storytelling: by providing mini-glossaries, clear explanations, infographics and practical examples, the editorial project enables non-expert readers to understand complex topics without oversimplifying them;
  • Empowerment over Anxiety: by highlighting actionable mitigation and adaptation strategies at both individual and collective levels, the magazine frames climate issues through a constructive lens, aiming to reduce climate-related anxiety and to inspire climate action.

PRODUCTION AND STRATEGIC VALUE

Coordinated by ARPA FVG, the magazine is produced entirely "in-house" through the voluntary contributions of the experts, without dedicated external funding. While the publication is freely available online, limited print editions are produced for policymakers and institutional use.

Beyond its educational role, “Segnali dal Clima in FVG” serves as a vital networking tool. The collaborative drafting process fosters interdisciplinary relationships among experts and generates a localized knowledge base that is instrumental in shaping regional climate policy and resilience strategies.

AVAILABILITY

Segnali dal clima in FVG is available at https://www.arpa.fvg.it/temi/temi/meteo-e-clima/sezioni-principali/cambiamenti-climatici/segnali-dal-clima-in-fvg/

The complete PDF version can be browsed online or downloaded. Additionally, individual thematic sections from each edition and summary materials are available for download. The magazine is also being distributed to schools across Friuli Venezia Giulia through the regional environmental education network.

 

*THE CLIMA FVG WORKING GROUP

The Clima FVG Working Group brings together the premier scientific and research institutions working on climate change in Friuli Venezia Giulia region: the Universities of Trieste and Udine, CNR-ISMAR, CNR-ISP, ICTP, OGS. The group was formally established in 2022 by the Autonomous Region Friuli Venezia Giulia and is coordinated by the Regional Environmental Protection Agency – ARPA FVG.

How to cite: Flapp, F., Stel, F., Caprotti, E., Tudorov, N., Stefanelli, S., Bacaro, G., Colucci, R. R., Consorti, L., Giorgi, F., Peressotti, A., Raicich, F., and Solidoro, C.: “Signals from the climate in FVG”: a magazine enhancing climate awareness and bridging the gap between science and society at the regional level, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8024, https://doi.org/10.5194/egusphere-egu26-8024, 2026.

EGU26-8179 | ECS | Posters on site | EOS1.1

Beyond Data: Connecting People to Sustain the Relevance of Flux Science - Insights from the Meet the Fluxers podcast 

Laurent Bataille, Jessica L. Richardson, Maoya Bassiouni, Shannon A. Carnevale, Lara B. Milligan, Jessica Steier, Jarrod Breithaupt, Zingfa Wala, Qing A. Saville, Emma Reich, Robert Shortt, Tyler D. Roman, Maricar Aguilos, and Sung-Ching Lee

Eddy-covariance (EC) flux towers have collected decades of data on carbon, water, and energy exchanges, helping us understand how ecosystems respond to climate change. However, a gap persists between EC research outputs and how this knowledge reaches societal groups. The Meet the Fluxers podcast addresses this gap by connecting flux scientists with stakeholders and communities in shared ecosystems, making flux science accessible to the general public in a broader, more applied context.


While flux measurements are technically complex, and communication among relevant groups can be fragmented, many researchers are already overcoming these challenges through collaborative practice. The podcast gives voice to these researchers who are co-creating fluxscience with land managers, policymakers, and local communities, building trusted relationships that make science more relevant and actionable. By showing these real examples, the podcast educates listeners, clarifies limitations and demonstrates how collaborative engagement transforms both research and practice, particularly in under-monitored regions and rapidly changing ecosystems facing budgetary pressures.


To better understand the impact of science podcasts, Spotify analytics and transcript extraction were used to analyze audiences across four podcasts (Meet the Fluxers, Unbiased Science, Naturally Florida, and On the Trail of Science). The audiences primarily consist of millennials and are more frequently female, with listening geographies expanding beyond host locations. Engagement is non-linear, reflecting episodic releases. Transcript analysis shows listener interest is influenced by theme, place, narrative, and personal experience. These findings suggest that long-form audio formats can broaden access through repeated, place-based engagement. In addition to improved data products, relational communication formats are essential for maintaining relevance amid rapid environmental change and political uncertainty.

How to cite: Bataille, L., Richardson, J. L., Bassiouni, M., Carnevale, S. A., Milligan, L. B., Steier, J., Breithaupt, J., Wala, Z., Saville, Q. A., Reich, E., Shortt, R., Roman, T. D., Aguilos, M., and Lee, S.-C.: Beyond Data: Connecting People to Sustain the Relevance of Flux Science - Insights from the Meet the Fluxers podcast, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8179, https://doi.org/10.5194/egusphere-egu26-8179, 2026.

EGU26-8270 | Posters on site | EOS1.1

GeoHikes: Lessons from a long-term, place-based geoscience communication initiative in Ontario, Canada 

Alexander L. Peace, Daniel Dick, Carolyn Eyles, Elli Papangelakis, Katie Maloney, Deana Schwarz, Bernard Kradjian, Veronica Klassen, and Bill Pearson

GeoHikes is a place-based geoscience communication initiative designed to connect non-specialist audiences with geoscience through short outdoor experiences supported by accessible digital resources. Developed through partnerships between academics, professional geoscientists, educators, and community organisations, GeoHikes combine self-guided walks with mobile-friendly virtual field trips that highlight geoscience in familiar landscapes, including urban settings and recreational trails. These virtual field trips can be viewed on http://geoscienceinfo.com

Over the past decade, the programme has expanded to nearly 60 virtual field trips across Ontario, reaching diverse audiences through in-person engagement, online platforms, and public events. We reflect on the key challenges and successes of sustaining and scaling a long-term geoscience communication effort, including co-creation with communities, balancing scientific rigour with accessibility, and fostering emotional connection through place and narrative. We discuss lessons learned and identify transferable approaches for effective, community-centred geoscience communication.

How to cite: Peace, A. L., Dick, D., Eyles, C., Papangelakis, E., Maloney, K., Schwarz, D., Kradjian, B., Klassen, V., and Pearson, B.: GeoHikes: Lessons from a long-term, place-based geoscience communication initiative in Ontario, Canada, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8270, https://doi.org/10.5194/egusphere-egu26-8270, 2026.

Democracies face a dual challenge. On the one hand, democratic institutions are increasingly under pressure from authoritarian, right-wing populist, and extremist actors. On the other hand, socio-ecological transformation in response to climate change requires decisive action, social solidarity, and trust in democratic institutions. These processes are intertwined: ecological crises - particularly extreme weather events - may foster democratic resilience but can also intensify authoritarian backlash, thereby undermining transformation efforts. Given that the entire science enterprise has come under attack, the question is what role should or could academics play to fight the backlash and to resist the onslaught on intellectualism and facts?

As a follow-up from last year’s short course on academic activism, here I am presenting results of a perspective piece that is analysing the current political status quo in the US based on state-of-art of behavioural and social science research. We shed light on the academic response to Trumpism and how the authoritarian onslaught has affected climate science. We provide recommendations as to how one can deal with bad-faith actors and how one can identify them to begin with? How do we change our way to communicate and rise to the challenge? How do we regain ground, get organised and bring about the necessary discomfort? In order to understand the dynamics, we dissect critical factors such as emotions, biases, neurological and psychological disorders. We discuss social shifts from a current and historical perspective. We shed light on the role of the media (legacy as well as social media). And ultimately, we offer solutions for how to communicate more effective and goal-oriented. 
In a climate as well as societal context.

How to cite: Haustein, K.: Science communication and academic activism in times of rising authoritarianism and Trumpism., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8368, https://doi.org/10.5194/egusphere-egu26-8368, 2026.

EGU26-8373 | Orals | EOS1.1 | Katia and Maurice Krafft Award Lecture

What we’ve learned from teaching people in prison to Think Like a Scientist  

Philip Heron and the Think Like A Scientist team

Scientific thinking requires the critical analysis of information, while science itself thrives on the diversity of ideas. Yet, science, technology, engineering, and math (STEM) subjects have historically struggled to be inclusive and accessible to students from underrepresented communities - meaning we often miss a diversity of voices. Furthermore, STEM subjects have often been rigid in their teaching structure, creating barriers to education for students with more specific (or unrecognised) learning needs.

To address this, our science outreach course Think Like A Scientist was designed to improve critical thinking and encourage independent thought by applying adaptive education practices to create inclusive and accessible classroom environments. The program started in 2017 and has been applied in several different settings (e.g., schools and adult learning centres), but has mainly featured in prisons around the world (including England, Canada, Australia, and Spain).

Our students in prison often have a complex relationship with learning – such as low confidence in themselves or the education system (which is also a common trait amongst STEM university students from diverse communities). In addition, a classroom can present numerous other barriers for prison students (e.g., sensory, communication, information processing, and regulation) which particularly impacts neurodivergent learners (e.g., autism, ADHD, OCD, dyslexia, etc.). In our teaching in prison, we have been conscious of creating different educational access points that are not solely reliant on rigid teaching structures.

In this Katia and Maurice Krafft Award talk, I will outline the choices we have made in prison education to increase educational engagement - and how these choices can map onto other avenues of science communication to widen STEM participation. I’ll also share the impact of such practices on our students and how placing learners at the centre of education can be transformative.  

Fundamentally, as a society we need an informed population of any background who can think critically, especially in today’s world of fake news. In our sessions, we replicate this through learning from each other to Think Like A Scientist.

How to cite: Heron, P. and the Think Like A Scientist team: What we’ve learned from teaching people in prison to Think Like a Scientist , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8373, https://doi.org/10.5194/egusphere-egu26-8373, 2026.

EGU26-9110 | Posters on site | EOS1.1

Geoscience awareness in educational and outreach contexts: a preliminary analysis 

Linda Morgissi and Michele Lustrino

Communication and education in the geosciences are key elements for increasing awareness of natural hazards, fostering an integrated understanding of the Earth system, and improving natural resource management. Despite this, several studies highlight a persistent misalignment between the societal importance of geology and the way this discipline is commonly perceived by the public.

This study aims to explore how geological topics are received and interpreted by different audiences, representing an important step for the design of effective educational and outreach actions. The contribution presents preliminary results from a survey conducted within a broader PhD research project, focused on geoscience communication and outreach.

Two paper-based questionnaires, each consisting of 15 multiple-choice questions with four options and a single allowed answer, were developed and administered to a sample of approximately 220 children and 250 adults (including parents and teachers). Participants were involved in educational and outreach activities organized by the Department of Earth Sciences (DST) of Sapienza University of Rome. The survey was conducted in Rome and Central Italy. The adult questionnaire investigated themes related to geological awareness, Earth system processes, natural hazards, climate change, lifestyles, and the use of natural resources. The children’s questionnaire, stratified by school grade, focused on basic geological concepts, including rocks, fossils, minerals, volcanoes, and earthquakes.

Preliminary results, based on an ongoing dataset, are presented separately for the two target groups. Among adults, responses indicate a tendency to interpret geoscientific topics primarily through interpretative frames, related to natural hazard mitigation and sustainability. These perspectives appear to reflect widely shared societal narratives, rather than an integrated understanding of geological processes operating across different spatial and temporal scales. Children’s responses, while often grounded in intuitive or narrative reasoning, show an overall solid understanding of some key concepts, particularly when supported by direct and hands-on experiences. In both samples, understanding of geological topics appears heterogeneous, context-dependent, and influenced by school-based learning and media exposure.

These initial findings highlight the importance of developing educational and outreach strategies that take existing interpretative frames into account and promote integrated, experiential, and territorially contextualized activities. Data collection is ongoing and will be extended to additional contexts and methodological approaches, supporting the progressive refinement of outreach and educational actions within the PhD project.

 

 

How to cite: Morgissi, L. and Lustrino, M.: Geoscience awareness in educational and outreach contexts: a preliminary analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9110, https://doi.org/10.5194/egusphere-egu26-9110, 2026.

EGU26-9213 | Posters on site | EOS1.1

The Potsdam WaterHub - Research, Networking, Training and Outreach 

Jürgen Mey, Bodo Bookhagen, Jan Haerter, Georg Feulner, and Thorsten Wagener

Europe's climate is warming faster than any other region of the world. This accelerated  warming has severe consequences for water resources and water extremes. Heatwaves occur more frequently and intensively, and extreme events such  as droughts and heavy rainfall are increasing considerably. For Europe, we expect that an atmospheric temperature increase of 2°C would double economic losses from flooding while economic losses from droughts might  triple. Whereas regions in southern Europe and the Mediterranean already experience frequent droughts, wetter regions such as Germany will experience particularly dramatic changes in hydro-climatic conditions.

Within Germany, challenges for managing water during dry periods are particularly evident in the state of Brandenburg in Eastern Germany. Low annual precipitation and sandy soils with low water storage capacity characterize this region, which is considered both “water-rich and water-poor” for good reasons. Increasing impacts of anthropogenic climate change will likely lead to changing rainfall and evaporation patterns, with consequences for water supply to soils, rivers and groundwater aquifers. We can expect more stress for aquatic ecosystems due to changing river flows, while changing soil moisture and groundwater levels will negatively impact agriculture, forests and terrestrial ecosystems. Furthermore, in the coming decades, large areas of southern Brandenburg will have to compensate for a massive water deficit caused by decades of groundwater pumping in the context of lignite mining.

The Potsdam WaterHub was established as a cross-institutional platform to support and connect water researchers in Potsdam. Potsdam provides an ideal starting point for such an initiative, given its high density of internationally recognized research institutions and long-standing expertise across the water sciences. We will present our strategy to foster interdisciplinary exchange, collaborative research, involvement in BSc/MSc training and innovation to advance understanding of complex water systems and risks. In addition, the WaterHub actively engages with the public, media, policy-makers, and stakeholders from industry and practice, contributing scientific knowledge and dialogue towards sustainable water management and adaptation strategies in a changing world.

How to cite: Mey, J., Bookhagen, B., Haerter, J., Feulner, G., and Wagener, T.: The Potsdam WaterHub - Research, Networking, Training and Outreach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9213, https://doi.org/10.5194/egusphere-egu26-9213, 2026.

EGU26-9675 | ECS | Orals | EOS1.1

From Landscape to Geohazard: Assessing volcanic hazard communication in Tenerife geosites. 

Olaya Dorado, Thais Siqueira, Juana Vegas, Inés Galindo, David Sanz-Mangas, Lucía Sáez-Gabarrón, Rayco Marrero, Vanesa Burgos, Itahiza Domínguez-Cerdeña, Ruben López Díaz, and Carmen Romero

Volcanic landscapes attract millions of visitors annually, drawn by their unique geodiversity. However, these environments present a dichotomy: they are significant economic resources, but they also pose potential hazards for both residents and tourists. Effective risk mitigation also requires preparedness, integrating hazard awareness directly into the visitor experience. A key challenge lies in designing communication strategies that maintain scientific rigor and inform about active processes without generating unnecessary alarmism. 

This issue is particularly pertinent in Tenerife, which is currently under a volcanic unrest, and hosts 21 volcanic geosites listed in the Spanish National Inventory of Geosites (IELIG, open access https://info.igme.es/ielig/), 12 of which are located within active volcanic areas. Despite these numbers, the representation of volcanic risk in public outreach materials at these sites remains largely unassessed. Consequently, both residents and the over 7 million annual tourists may lack essential knowledge regarding the island’s eruptive potential, associated hazards, and the critical role of scientific monitoring in ensuring their safety.

This study evaluates eight key geosites in Tenerife, selected within the framework of the “Canary Islands: Destination of Volcanoes” project for their relevance to active volcanism. We conducted an evaluation of available outreach materials (including in-situ signage, printed brochures, and official web portals) based on three core criteria: i) the scientific accuracy and currency of the data presented; ii) the thematic scope (e.g., geological formation, environmental values, active volcanic processes, etc); and iii) the presence of specific information regarding volcanic hazards and risk management (preparedness, monitoring, and emergency protocols).

Beyond assessment, we aim to bridge the identified gaps by integrating risk communication strategies directly into the project’s outreach materials. This entails updating existing materials and embedding volcanic hazard modules into the project's newly developed materials and training courses for nature guides. By ensuring a balanced narrative that educates without inciting alarm, we propose a model of resilient geotourism where risk preparedness is intrinsic to the visitor experience, thereby enhancing general knowledge of active volcanic processes among both residents and tourists.

Sub-Project 1 ‘Canary Islands, destiny of Volcanoes’ (led by IGME-CSIC) is funded by PROMOTUR SA through Next Generation EU funds, PRTR. 2024krQ00nnn, carried out within the framework of the agreement between Promotur Turismo Canarias, S.A. and the CSIC, Univ. of La Laguna, Fundación Canaria General of the Univ. of La Laguna, and Univ. of Las Palmas de Gran Canaria.

How to cite: Dorado, O., Siqueira, T., Vegas, J., Galindo, I., Sanz-Mangas, D., Sáez-Gabarrón, L., Marrero, R., Burgos, V., Domínguez-Cerdeña, I., López Díaz, R., and Romero, C.: From Landscape to Geohazard: Assessing volcanic hazard communication in Tenerife geosites., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9675, https://doi.org/10.5194/egusphere-egu26-9675, 2026.

EGU26-10122 | ECS | Posters on site | EOS1.1

The “Next-Gen COP” as a tool for communicating climate change and catalyze solutions from high school students 

Francesca Munerol, Lara Polo, edoardo cremonese, Martina Leone, Giulia Blandini, Marta Galvagno, Chiara Guarnieri, Sofia Koliopoulos, Martina Lodigiani, Maddalena Nicora, Alessandro Benati, Fabrizio Sapone, Paolo Pogliotti, Gianluca Filippa, Federico Grosso, Sara Favre, Francesco Avanzi, and Margherita Andreaggi

The “Next-Gen COP”, developed by CIMA Research Foundation in collaboration with ARPA Valle d’Aosta and Fondazione Montagna Sicura, is an innovative climate-education programme designed to empower secondary-school students with the knowledge, skills, and agency needed to engage meaningfully in climate action. By simulating the negotiation dynamics of the UNFCCC Conference of the Parties, the initiative integrates scientific literacy, sociopolitical understanding, and participatory decision-making into a single experiential learning pathway. 

Launched in 2023 within the RESERVAQUA project, the “Next-Gen COP” focuses on climate-induced water challenges - drought, competing uses, and resource conflicts - issues that strongly affect Alpine and Mediterranean regions. The programme combines multiple pedagogical components: 

  • scientific training on the physical and legal-political dimensions of climate change; 
  • collaborative problem-solving, where students design water-management strategies inspired by the Sustainable Development Goals; 
  • dialogue with experts, enabling learners to refine proposals through evidence-based reasoning; 
  • Peer-to-peer communication, through poster sessions and public presentation; 
  • a final negotiation simulation, mirroring COP procedures, including amendments, consensus-building, and voting. 

This structure allows students to develop not only climate knowledge, but also key competences highlighted in the session,such as systems thinking, critical analysis, negotiation, and civic engagement. Indeed, the process culminates in a “Next-Gen Charter”, containing ten adaptation and mitigation proposals, formally presented to local policymakers, thereby linking classroom learning to real-world governance. 

The first edition in Valle d’Aosta involved around 150 students and demonstrated the programme’s capacity to foster climate agency, strengthen understanding of water-related risks, and promote inclusive, community-oriented climate action. The model is now being replicated in Liguria and Trento-Bolzano, expanding its reach and enabling comparative insights across diverse socioenvironmental contexts. 

The “Next-Gen COP” offers a scalable and transferable approach to climate change education, showing how experiential, participatory, and policy-oriented learning can empower young people to contribute actively to climate resilience at local and global scales. 

How to cite: Munerol, F., Polo, L., cremonese, E., Leone, M., Blandini, G., Galvagno, M., Guarnieri, C., Koliopoulos, S., Lodigiani, M., Nicora, M., Benati, A., Sapone, F., Pogliotti, P., Filippa, G., Grosso, F., Favre, S., Avanzi, F., and Andreaggi, M.: The “Next-Gen COP” as a tool for communicating climate change and catalyze solutions from high school students, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10122, https://doi.org/10.5194/egusphere-egu26-10122, 2026.

EGU26-10123 | Orals | EOS1.1

The Italian Citizen Science Observatory: a growing association open to collaboration to foster public participation and education in water research Europe-wide 

Luisa Galgani, Bruna Gumiero, Francesco Di Grazia, Marco Cossu, and Steven A. Loiselle

The Italian Citizen Science Observatory, established in 2016, seeks to encourage public involvement in science by turning citizens into active contributors to scientific research. Its objective is to implement Citizen Science to strengthen collaboration between researchers and civil society, building an increasingly close relationship between science and the wider community. The Observatory focuses on monitoring and safeguarding the health of freshwater ecosystems—such as rivers, lakes, streams and wetlands—on which everyone relies, as well as the surrounding riparian areas. One of the pillars of the Observatory's mission is education, with a strong focus on schools as key environments for the development of scientific literacy, environmental awareness, and active citizenship. Schools are recognized not only as places of learning, but also as catalysts for cultural change, capable of amplifying Citizen Science practices within families and local communities. Through practical monitoring and inquiry-based learning activities, students become active observers of their local freshwater ecosystems and ambassadors for sustainable behavior.

The Observatory actively promotes peer education approaches, encouraging the exchange of knowledge between students, teachers, citizens, and researchers. This horizontal learning model improves engagement, empowers young people as science communicators, and strengthens intergenerational dialogue on environmental protection.

A recent accomplishment of the Observatory is the development of the RiVE (Riparian Vegetation) methodology as a Citizen Science tool for monitoring riparian zones. RiVE assesses riparian zone ecological health by the engagement of local communities in tracking plant diversity and ecosystem functions. This approach highlights the importance of these biodiversity-rich corridors for river health and management, often contrasting with fixed-width buffer approaches. The Observatory serves as the first Italian hub of the Earthwatch FreshWater Watch program, defining and sharing best practices for data collection and creating new tools whenever required. It also runs pilot initiatives in protected areas and works more broadly with local environmental bodies and associations.

We here present the activities undertaken at the Observatory, from building Citizen Science initiatives and communities to training both citizens, schoolteachers, school children and students, policy makers and researchers, encouraging the active engagement of all society actors in scientific endeavours and aquatic ecosystems management and protection.

At EGU we hope to spark new collaboration opportunities and expand the Observatory network to foster the co-creation and management of Citizen Science projects across Europe and beyond.

https://www.osservatoriocitizenscience.org/home/

How to cite: Galgani, L., Gumiero, B., Di Grazia, F., Cossu, M., and Loiselle, S. A.: The Italian Citizen Science Observatory: a growing association open to collaboration to foster public participation and education in water research Europe-wide, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10123, https://doi.org/10.5194/egusphere-egu26-10123, 2026.

EGU26-10224 | Posters on site | EOS1.1

Open Science Network: Distributed social infrastructure for open scientific discussion 

Jorge Saturno, Ivan Minutillo, Mayel de Borniol, Pierre Boudes, Nicolas Fressengeas, and Ulrike Hahn

Scientific conversations that once took place on Twitter have scattered to other platforms, such as LinkedIn and Bluesky. Like Twitter, these services operate as walled gardens, limiting access for unregistered users. Furthermore, identity verification and public recognition have become paid services that lack reliability and oversight.

Thanks to a W3C-standardized protocol called ActivityPub, the same one behind Mastodon, open and distributed social feeds, where users from different servers can read and interact, are already available. Using open protocols is the best way to enable scientific communication that both peers and the general public can trust.

The Open Science Network (https://openscience.network/) is designing and deploying a software for federated scientific communication. The app uses Bonfire's open-source framework and the ActivityPub protocol as a backbone. The goal is to create federated digital spaces in which researchers and institutions have complete control over their data, including their conversations and networks. Universities can host their own instances while being interconnected with a global network of scientific communities. Discussions can become citable, FAIR objects with DOIs. Publications are enriched with metadata and collaborative tools.

The Open Science Network is co-designed with researchers, scientific communities, and open science advocates who understand that scientific communication tools shape science itself. Platforms that prioritize engagement over accuracy cannot facilitate reliable scientific communication. The software provides ORCID authentication and Zenodo repository archiving for social posts. Planned features include custom peer review, multiple trust signal workflows, semantic data linking, a framework for experimenting with new forms of scientific communication, proper and verified attribution, federated groups, knowledge management and curation tools, long-term preservation, and space for inventing features not included in this list.

How to cite: Saturno, J., Minutillo, I., de Borniol, M., Boudes, P., Fressengeas, N., and Hahn, U.: Open Science Network: Distributed social infrastructure for open scientific discussion, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10224, https://doi.org/10.5194/egusphere-egu26-10224, 2026.

EGU26-10625 | ECS | Orals | EOS1.1

From Network to Ecosystem: Reflecting on Early Career–Led Science Communication through APECS 

Deniz Vural, Alice Guzzi, Anastasia Deyko, Pratik Kad, Sophie Dupont, Hugo Guimaro, and Sebastian Maria Karl Heinrich Kopf

Science communication is often framed as a unidirectional transfer of knowledge from scientists to society. For early career researchers (ECRs), however, it also plays a crucial role in building community, fostering belonging, and co-creating knowledge across disciplines, cultures, and career stages. The Association of Polar Early Career Scientists (APECS) offers a case study on how science communication can function as a long-term, community-driven ecosystem rather than a series of one-off outreach activities.

APECS is a global, ECR-led organization supporting early career researchers working in polar and cryosphere science, founded in 2007 following the momentum and international collaboration fostered by the Fourth International Polar Year (IPY-4). Although not always labelled explicitly as “science communication”, many of APECS’ core activities involve communicating science and co-creation of scientific knowledge within ECR communities and beyond. The activities include engagement with policymakers, Indigenous Peoples’ organizations, local communities, educators, and the wider public. Through programmes, workshops, leadership development, and community-led initiatives, APECS supports ECRs in developing skills in outreach, public engagement, inclusive communication, and collaborative knowledge production, contributing to long-term capacity building within polar and cryosphere research communities.

This contribution reflects on APECS’ science communication practices through three key questions. First, how can science communication spark joy and foster emotional connection? APECS emphasizes storytelling, peer mentoring, and shared experiences, from informal networking spaces to collaborative events, that humanize polar science by helping ECRs connect emotionally with their research and with peers. These approaches are particularly important in polar research, where geographic isolation, logistical barriers, and short-term contracts can limit a sense of community.

Second, how can co-creation be meaningfully embedded within scientific communities? APECS operates through bottom-up leadership, with initiatives proposed, led, and shaped by ECRs themselves. This structure enables co-creation across disciplines, cultures, and regions, and fosters dialogue between natural scientists, social scientists, and knowledge holders from diverse backgrounds.

Finally, how can the impacts of science communication be assessed over time? Rather than focusing solely on short-term metrics, APECS reflects on longer-term indicators such as sustained engagement, leadership development, capacity building, career trajectories, and continued participation in interdisciplinary and societal dialogues, dimensions that are often overlooked in traditional evaluations of science communication.

By reflecting on both successes and challenges, this contribution highlights lessons learned from long-term ECR engagement and offers insights for designing inclusive, community-based science communication initiatives that strengthen both scientific practice and its relationship with society.

How to cite: Vural, D., Guzzi, A., Deyko, A., Kad, P., Dupont, S., Guimaro, H., and Kopf, S. M. K. H.: From Network to Ecosystem: Reflecting on Early Career–Led Science Communication through APECS, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10625, https://doi.org/10.5194/egusphere-egu26-10625, 2026.

EGU26-10850 | Posters on site | EOS1.1

Communicating geoscience on social media: Harnessing the short video format 

Laura Säilä-Corfe, Anna Sartell, and Samuli Siltanen

Short videos, which provide concise, clearly articulated, and engaging content on a wide variety of topics are among the most prominent formats on platforms such as YouTube, Instagram, Facebook, LinkedIn, and TikTok. The short video format is particularly well suited to the dissemination of scientific knowledge and research findings to non-specialist audiences, offering researchers a valuable means of broad societal engagement.

 

The University of Helsinki Faculty of Science trains and motivates researchers to adopt and apply the short-video format for science communication by offering the How to Make a Science Video course, jointly by the journalism program at Haaga-Helia University of Applied Sciences. The course, offered annually, is led by experienced science video producers and journalism professionals. Participants work in mixed teams comprising researchers at different career stages from master’s students to professors—together with journalism students from Haaga-Helia. The course covers, among other topics:

  • Developing an initial idea into an engaging video
  • Popularizing scientific concepts
  • Creating effective educational videos
  • Writing persuasive scripts
  • Speaking and performing on camera
  • Shooting and editing high-quality videos using only a smartphone
  • Selecting appropriate channels and strategies for publication

Each team produces a science video of up to two minutes duration, which is published at the conclusion of the course on the YouTube channels of both institutions.

 

As part of the course in 2024, we set out to make an educational video about ancient volcanism in southern Finland.  Around 1.9 billion years ago, there was a volcanic island arc in southern Finland and outcrops of these rocks can be found in, for example, the Helsinki region. We filmed in some of these locations, interviewed a local expert and author of a book on this topic, and included an animation made by a close collaborator on how the volcanic rocks formed in our 2-minute video. Our final Youtube video and the process of making it are here used as an example of all the methods and skills we learned on the How to make a science viodeo course.

How to cite: Säilä-Corfe, L., Sartell, A., and Siltanen, S.: Communicating geoscience on social media: Harnessing the short video format, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10850, https://doi.org/10.5194/egusphere-egu26-10850, 2026.

Climate change is placing increasing pressure on global food systems that are vital to human survival. Understanding the interconnections between food (including seeds), agriculture, and climate is crucial for building resilient and sustainable futures. However, science communicators often struggle to translate complex food–climate concepts for non-specialist audiences. Effective engagement thus requires messages that are accurate, relatable, and connected to daily life.

Drawing on collaborative outreach programmes and public lecture series on food and climate, this contribution illustrates how interactive formats, such as climate-friendly cooking workshops, field visits, and seed-focused learning, to deepen understanding, stimulate curiosity, and foster critical thinking. These initiatives bridge disciplinary silos while engaging diverse audiences, including students, educators, and members of the public. Through enhanced dialogue, reflection, and experimentation, they demonstrate how science communication empowers individuals to make informed food choices, advancing both science literacy and community action towards sustainable food systems.

How to cite: Mok, H.: Communicating Food and Climate: The Role of Science Communication for Engagement  , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11213, https://doi.org/10.5194/egusphere-egu26-11213, 2026.

EGU26-11214 | ECS | Orals | EOS1.1

Science communication in Greenland: Experiences from the Kalaallit Nunaat Caves and Climate Outreach Project (KINDLE) 

Lena K. Anders (neè Friedrich), Gina E. Moseley, Oline Petersen, Kristian Kaspersen, and Kerim Hestnes Nisancioglu

Effective science communication is essential for building trust between researchers and society, particularly in regions where environmental change is rapid and directly affects local communities. In Greenland, the National Research Strategy emphasises inclusive, community-centred research and the active involvement of Greenlanders in scientific processes. Within this context, the Kalaallit Nunaat Caves and Climate Outreach Project (KINDLE) was developed as a science communication initiative linked to the Greenland Caves Project, which investigates palaeoclimate, cave systems, and geological processes in northern Greenland.

KINDLE was designed to explore ways of strengthening connections between research and society by working with Greenlandic communities to share scientific work in accessible formats, support locally grounded engagement with cave environments, and encourage long-term participation in cave exploration and research. The project employed a range of communication approaches in multiple languages, including an interactive exhibition, micro-documentaries, hands-on workshops for children, public presentations with open Q&A sessions, and practical caving skills workshops for adults. These activities were hosted during a one-month residency at the ILLU Science & Art Hub in Ilulissat, part of the Climate Narratives initiative, which promotes climate communication through diverse forms of storytelling.

Based on the experiences from the residency, we reflect on lessons that may be informative for other Earth science contexts, including the value of storytelling that emphasizes how science is done over specific results, the importance of local partnerships and trusted venues, and the need to approach science communication as an evolving, collaborative practice. The project illustrates how science communication can move beyond dissemination toward participation, with the long-term aim of enabling local communities to engage with, contribute to, and potentially lead future research and exploration initiatives.

How to cite: Anders (neè Friedrich), L. K., Moseley, G. E., Petersen, O., Kaspersen, K., and Nisancioglu, K. H.: Science communication in Greenland: Experiences from the Kalaallit Nunaat Caves and Climate Outreach Project (KINDLE), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11214, https://doi.org/10.5194/egusphere-egu26-11214, 2026.

EGU26-11554 | Posters on site | EOS1.1

Geology for All: Engaging the Public with a Simplified and Accessible Geological  Map of Rome 

Giuditta Radeff, Silvana Falcetti, Deborah Maceroni, Patrizio Petricca, Matteo Simonetti, Stefano Urbani, and Chiara D'Ambrogi

Geological maps are fundamental tools in geoscientific research and play a critical role in land-use planning, risk assessment and resource management. However, their complexity, interdisciplinary nature and dense data content often make them difficult to interpret for non-specialist audiences. Consequently, their potential as tools for science communication remains largely untapped.

To foster greater public involvement in Earth sciences and to increase awareness of the influence of geology on everyday life, and drawing inspiration from the 2022 educational geological map of the Paris region produced by the French Geological Survey (BRGM) in the series of geological maps for educational purposes (https://www.brgm.fr/en/news/news/three-new-geological-maps-educational-purposes), we developed a prototype simplified geological map derived from the Geological Map of Sheet 374 – Rome (CARG Project, Geological Survey of Italy).

The simplified geological map of Rome is designed to reach a broad and diverse audience, from young students to tourists, citizens, policymakers and stakeholders, encompassing a wide range of ages, languages, educational backgrounds and abilities. To achieve this, the product combines scientific accuracy with visual engagement, presenting content in at least two languages (Italian and English), with simple explanations for beginners and additional information for those wishing to explore the topic in more depth.

Special attention was given to the design: map colours were chosen to be colour-blind friendly, and a freely available font was adopted to mitigate common symptoms of dyslexia (https://opendyslexic.org/). Efforts are ongoing to develop a version accessible to visually impaired users.

The prototype is flexible and replicable, capable of being adapted to other regions and geological contexts. It integrates a simplified geological map, a geological cross-section, a geological timescale and an intuitive, visually appealing, legend, providing a clear representation of the relationships among geological structures, georesources and geo-hazards in a highly urbanized environment.

This project represents a science communication experiment aimed at translating authoritative, technically oriented geological maps into simplified, visually engaging products that maintain scientific rigor while enhancing accessibility, understanding and public engagement with Earth sciences.

How to cite: Radeff, G., Falcetti, S., Maceroni, D., Petricca, P., Simonetti, M., Urbani, S., and D'Ambrogi, C.: Geology for All: Engaging the Public with a Simplified and Accessible Geological  Map of Rome, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11554, https://doi.org/10.5194/egusphere-egu26-11554, 2026.

EGU26-12132 | Orals | EOS1.1

Engaging young audiences in climate change: moving beyond fear through active science communication 

Marta Galvagno, Chiara Guarnieri, Sofia Koliopoulos, Paolo Pogliotti, Gianluca Filippa, Federico Grosso, Nicolas Lozito, Francesca Munerol, Sara Favre, Edoardo Cremonese, Alessandro Benati, Simone Gottardelli, Fabrizio Sapone, and Francesco Avanzi

Science communication is not only about conveying scientific findings, but also about fostering dialogue, understanding, and engagement among non-specialist audiences. In the context of climate change, narratives emphasizing catastrophic outcomes and individual responsibility can unintentionally foster fear, anxiety, and disengagement, particularly among younger audiences. Such fear-based communication may contribute to forms of inactivism, in which concern does not translate into action but instead leads to emotional paralysis. Communicating “efficiently” therefore means avoiding both denialism and doomism, as well as individualism, while preserving scientific accuracy and urgency.

In recent years, public trust in science has been questioned in many countries, influenced by political polarization, the spread of misinformation, skepticism toward scientific credibility, and contested roles of scientists in public decision-making.  In this context, scientists have a social responsibility not only to convey accurate information but also to frame the scientific message in ways that empower understanding and collective responses.

In this contribution, we reflect on climate communication strategies that move beyond frontal, passive teaching toward active and participatory engagement. Relying on outreach activities in secondary schools, we present results from questionnaires delivered before and after climate science lessons, with a specific focus on changes in students’ emotional responses and perceptions. The findings indicate that participatory approaches, such as interactive discussions, problem-solving simulations, and solution-oriented framing, can reduce anxiety and inactivism, while strengthening understanding, motivation to take action, and trust in scientific knowledge.

We argue that communicating climate change without catastrophism but emphasizing achievable pathways for action is not a dilution of problem urgency, but a necessary step toward enabling rational and hopeful societal responses to global challenges, particularly among younger generations, and in times of converging crises.

How to cite: Galvagno, M., Guarnieri, C., Koliopoulos, S., Pogliotti, P., Filippa, G., Grosso, F., Lozito, N., Munerol, F., Favre, S., Cremonese, E., Benati, A., Gottardelli, S., Sapone, F., and Avanzi, F.: Engaging young audiences in climate change: moving beyond fear through active science communication, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12132, https://doi.org/10.5194/egusphere-egu26-12132, 2026.

EGU26-12150 | Posters on site | EOS1.1

Allin-Wayra: advancing equitable and transparent use of small sensors through a global community of practice 

Sebastian Diez, Nicole Cowell, Eliani Ezani, Miriam Chacón-Mateos, Àlex Boso, John Richard Hizon, and Kwabena Fosu-Amankwah

Small sensor technologies are rapidly expanding access to atmospheric observations, offering new opportunities to complement regulatory air-quality monitoring and to address persistent data gaps. However, the benefits of these technologies are unevenly distributed, and their effective use is constrained by variability in data quality, limited transparency in data processing, and unequal access to technical capacity and guidance. These challenges are particularly acute in low- and middle-income regions, where monitoring infrastructure and institutional resources remain limited.

The “Allin-Wayra: Small Sensors for Atmospheric Science“ (https://igacproject.org/activities/allin-wayra-small-sensors-atmospheric-science) initiative was established within the International Global Atmospheric Chemistry (IGAC) Project to build a global, inclusive community of practice around responsible sensor use, with a strong focus on equity, capacity building, and transparency. Core activities include community workshops, an international webinar series, conference sessions,  the co-development of open-access repositories and guidance resources, and targeted efforts to improve accessibility and dissemination. 

This presentation reflects on early lessons learned from launching and coordinating a distributed global community, highlighting strategies for inclusive engagement, cross-regional and cross-disciplinary co-creation and mechanisms to sustain participation beyond individual projects, while gaining insights from other sensor communities of practice. We discuss practical challenges in balancing scientific rigor with accessibility, fostering trust in emerging technologies, whilst encouraging cross-sectoral collaboration (policy, business, non-profit and scientists). By sharing these experiences, we aim to identify how community-driven governance can co-create more equitable and impactful environmental research practice and decision-making.

How to cite: Diez, S., Cowell, N., Ezani, E., Chacón-Mateos, M., Boso, À., Hizon, J. R., and Fosu-Amankwah, K.: Allin-Wayra: advancing equitable and transparent use of small sensors through a global community of practice, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12150, https://doi.org/10.5194/egusphere-egu26-12150, 2026.

EGU26-12383 | Orals | EOS1.1

Access, verification, and trust in extreme weather events communication: age and discipline matter 

Tatiana Izquierdo, Beatriz Catalina-García, Carlos Sánchez-García, María del Carmen García-Galera, and Manuel Abad

Effective communication of extreme weather events (EWEs) requires understanding how audiences access, evaluate, and respond to information, which is critical for improving science communication strategies on climate-related risks. To examine these processes among young adults, we conducted a structured survey administered to undergraduate students at two Spanish universities (Rey Juan Carlos University and Autonomous University of Madrid). The survey, disseminated online during regular teaching periods, used voluntary participation and collected 746 responses across diverse academic programmes. It comprised multiple-choice and Likert-scale items covering interest in specific EWEs (e.g., intense rainfall, heatwaves, floods), primary modes of information access (intentional search, incidental exposure, or balanced patterns), verification behaviours, perceived prevalence of fake news in both searched and unsolicited content, trust in ten different media channels, and self-assessed ability to detect misinformation. Differences were assessed using descriptive statistics and comparative analysis.

Age-tercile analysis using quantile cuts (18; 18–20; >20) shows stable but informative gradients. Verification frequency (1–5) rises slightly with age (2.99 → 2.96 → 3.05), while event-specific interest (1–4) remains high and broadly flat (3.13 → 3.11 → 3.16). Trust in social platforms increases marginally (1.92 → 2.07 → 2.08), whereas trust in traditional outlets and science-oriented sources stays comparatively stable (traditional 3.28–3.37–3.35; science 4.04–4.09–4.08). Self-reported ability to detect misinformation (1–7) shows a small step-down across terciles (4.79 → 4.71 → 4.66). For access patterns, the share of balanced access (search + incidental) is higher from the middle tercile onward (52.9% → 61.4% → 58.6%), with a corresponding reduction in purely incidental exposure (43.6% → 36.0% → 38.7%), while intentional search only remains low (3.6% → 2.6% → 2.7%). Consistently across terciles, students perceive more fake news in incidental flows than in self-searched content (+1.11, +1.00, +1.18).

Comparing academic disciplines (science vs. communication) reveals clear structural contrasts. Students in scientific programs report higher general interest in EWEs (3.56 vs 3.24) and slightly greater event-specific interest (3.17 vs 3.09), alongside marginally lower verification frequency (2.98 vs 3.03). Self-reported ability to detect misinformation also trends higher in science (≈4.80 vs 4.62). Trust architectures differ markedly: communication students show stronger confidence in traditional media (3.57 vs 3.15), while science lean toward science-oriented sources (4.11 vs 4.00). Trust in social platforms remains low across both groups, though slightly higher in communication (2.05 vs 1.99). These patterns underscore the need for differentiated strategies: technical and data-rich content for science students, and journalistic narrative formats for communication, complemented by platform-specific adaptations to maintain credibility and engagement.

These findings suggest practical actions to improve communication: ensure multi-platform dissemination with consistent core messages; highlight transparent sourcing and authoritative voices; adapt formats by age (visual checklists for younger students, data-rich dashboards for older ones); and tailor content to disciplinary expectations (technical and quantitative for science, journalistic narrative for communication). Aligning formats and channels with audience information habits can enhance comprehension, reduce misinformation, and support informed decision-making during EWEs.

How to cite: Izquierdo, T., Catalina-García, B., Sánchez-García, C., García-Galera, M. C., and Abad, M.: Access, verification, and trust in extreme weather events communication: age and discipline matter, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12383, https://doi.org/10.5194/egusphere-egu26-12383, 2026.

EGU26-12641 | ECS | Orals | EOS1.1

Community outreach using positive sensory experiences: A taste of climate change 

Alex Valach, Christine Jurt, and Sébastien Boillat

Communicating scientific advances and their impacts on society in an accessible manner is an inherent requirement of those engaged with science. Sensitising the public on climate change topics typically relies on rational discourse and the sharing of factual details. However, our first response to novelty, especially in stressful environments is usually emotional and with increasing political polarization, the individual’s priming, environment and beliefs heighten this response to the point of confrontation, avoidance and even denial. One way to potentially mitigate existing negative emotional biases is to approach the topic using a positive emotional experience that is widely shared regardless of identity, such as consuming food and drink.

Our project supported by an EGU public engagement grant consisted of small tasting events using locally produced and relevant food and drink items, which could be used as an example of how climate change is or will affect their production and consumption. Events can take on different formats depending on the situation and available resources, as well as allowing a wide range of consumables that can be adapted to the local community and values. Here we provide a brief overview of our activities and outline some implementation aids to support other groups or individuals interested in organizing their own events.

How to cite: Valach, A., Jurt, C., and Boillat, S.: Community outreach using positive sensory experiences: A taste of climate change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12641, https://doi.org/10.5194/egusphere-egu26-12641, 2026.

EGU26-12649 | ECS | Posters on site | EOS1.1

Climate change communication from an inter- and transdisciplinary perspective – an example from ClimXtreme 

Paulina Fischer-Frenzel, Miriam Wagner-Jacht, Jens Grieger, Philip Lorenz, and Frank Kreienkamp

Climate change poses a scientifically highly complex issue due to being a process of global change with considerably different outcomes for different regions, underpinned by scientific uncertainty. The inherent nature of the ongoing climate change is dynamic and oftentimes non-linear, bearing the risk of increasing the likelihood (and exacerbating the intensity) of extreme weather events. Hence, the issue not only asks for climate research to be translated prior to being addressed towards audiences with few or no prior scientifical knowledge of the field, but for the climate knowledge also to be communicated in a precise, reliable and continuously updated – while comprehensible – manner.

ClimXtreme is a nationwide interdisciplinary project funded by the German Federal Ministry of Research, Technology and Space (BMFTR) and focusing on the improvement of the scientific understanding of extreme weather events in a changing climate as well as the transdisciplinary interaction with practice stakeholders.

As part of the research network of ClimXtreme II (2023-2026), the German Meteorological Service (Deutscher Wetterdienst, DWD) has designed and launched a communication tool in form of a knowledge base. Its aim is to compile, synthesise and communicate the research goals and results of the 25 subprojects from various disciplines towards different target groups (general public, practitioners, administrations, politics and the private sector). Thus, the knowledge base seeks to facilitate the dialogue between climate research and society and provide a tool for scientifically informed decision-making processes.

Furthermore, one main focus is illustrating the transdisciplinary interactions which have already been established within the project. In this regard, the platform serves as an example case for inter- and transdisciplinary demand-oriented communication and is hereby tackling challenges in climate change communication.

How to cite: Fischer-Frenzel, P., Wagner-Jacht, M., Grieger, J., Lorenz, P., and Kreienkamp, F.: Climate change communication from an inter- and transdisciplinary perspective – an example from ClimXtreme, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12649, https://doi.org/10.5194/egusphere-egu26-12649, 2026.

Indoor air quality is key due to the amount of time people spend indoors (approximately 80–90 % of their lives). However, understanding how time and activity dependent sources, as well as built environment characteristics, influence pollutant emissions and distributions remains very limited. Addressing these challenges, InAPI — an Indoor Air Pollution Inventory tool — has been developed using data synthesised from a comprehensive review of UK indoor air pollution research (Mazzeo et al., 2025; doi.org/10.5194/egusphere-2025-783). For the development of the InAPI tool, we have categorised existing literature by pollutant types, indoor environments, and activities, identifying significant knowledge gaps and offering an open-access database of typical pollutant concentrations and emission rates (Mazzeo et al., 2025; doi.org/10.1039/D4EA00121D). InAPI leverages this database to enable users to visualise indoor pollutant levels and emission characteristics across varied indoor settings. InAPI consolidates this evidence into a practical and easy-to-use tool which facilitates standardisation of IAQ measurement protocols and the creation of activity-based indoor emission inventories. By providing a robust platform for understanding indoor air pollutant dynamics, InAPI represents a significant step forward in advancing IAQ research given the transferability of the approach, supporting efforts to mitigate indoor air pollution with potential to inform policy initiatives. A key challenge to overcome is how to make this tool attractive and usable for non-experts and to ensure that the information is presented in a way that it can and will be used by policy makers and practitioners.

How to cite: Pfrang, C., Mazzeo, A., and Nazar, Z.: Developing an Indoor Air Pollution Inventory Tool to Visualise Activity-based Indoor Concentrations of Pollutants and Their Emission Rates for the Wider Community., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12812, https://doi.org/10.5194/egusphere-egu26-12812, 2026.

EGU26-12903 | Orals | EOS1.1

Visualising historical changes in air pollution with the Air Quality Stripes 

James McQuaid, Kirsty Pringle, Carly Reddington, Steven Turnock, Richard Rigby, Meruyert Shayakhmetova, Malcolm Illingworth, Denis Barclay, Neil Chue Hong, Ed Hawkins, Douglas Hamilton, and Ethan Brain

Air pollution poses a major public health risk, contributing to approximately 4.7 million premature deaths each year, the majority of which occur in low and middle-income countries. Effective public communication of air quality data is essential to drive policy action and address health inequalities, yet translating complex environmental data into an accessible format is always challenging.

This contribution presents findings from the Air Quality Stripes project (https://airqualitystripes.info/, Pringle KJ. et al, Geoscience Communication, 2025), which aims to raise public awareness and understanding of outdoor air pollution by visualising historical changes in fine particulate matter (PM₂.₅) in major global cities from 1850 to 2022*  in a clear and engaging manner. Inspired by the widely recognised Warming Stripes (https://showyourstripes.info/) images, the Air Quality Stripes project combined data from satellite observations and model simulations to create a continuous historical PM₂.₅ dataset, which was then displayed as a series of vertical stripes. 

The resulting visualisations reveal divergent pollution trends: there have been substantial improvements in air quality in many cities in Europe and North America, contrasted by persistently high or worsening pollution in parts of Asia, Africa, and South America. 

The project received significant public and media attention, including coverage in major national newspapers and broadcast media, demonstrating a strong appetite for accessible representations of air pollution data. They have also been used by a major philanthropic funder which funds observational networks to highlight gaps in global air quality data, especially in developing nations. In addition, major advocacy groups such as the C40 cities program are also using the images in their visualisation toolkit as part of their campaign for transparent air quality data to improve public health and policy.

What lessons have been learned?

Beyond describing the Air Quality Stripes visualisations, this contribution reflects on broader lessons for environmental data communication, drawing on audience engagement, media uptake, and practitioner feedback including:

  • Collaboration with visual experts. The colour palette was developed with a design expert, drawing on imagery of air pollution to create a tangible link between colour and pollution.
  • Informal feedback and review. Iterative feedback from colleagues, friends, and family helped improve the images; for example, early versions showed concentrations only, and feedback led us to add indicative labels (e.g. “good”, “poor”) to provide health-related context.
  • City-specific focus. We chose to present images from individual cities as regional averaging would blur historical trends, but this city focus was popular with viewers as it allowed the viewer to connect with the information on a more tangible and often personal level.
  • Selected annotations. Narrative annotations on a subset of images made the data more relatable, providing context and highlighting significant points. They also helped viewers better understand the overall structure of the images.

Lessons from the Air Quality Stripes project apply broadly to science communication, highlighting the value of interdisciplinary collaboration, iterative engagement with non-experts, and careful use of colour, context, and narrative. These insights extend beyond the project to inform environmental data visualisation and public communication more widely.

How to cite: McQuaid, J., Pringle, K., Reddington, C., Turnock, S., Rigby, R., Shayakhmetova, M., Illingworth, M., Barclay, D., Chue Hong, N., Hawkins, E., Hamilton, D., and Brain, E.: Visualising historical changes in air pollution with the Air Quality Stripes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12903, https://doi.org/10.5194/egusphere-egu26-12903, 2026.

EGU26-13519 | Posters on site | EOS1.1

Sharing science on the road: Bringing a traveling exhibit on extreme weather and community resilience to Alaska through community and private sector partnerships 

Daniel W. Zietlow, Rebecca Haacker, Becca Hatheway, Patricia Montaño, Auliya McCauley-Hartner, Evan Portier, John Smelter, Emily Snode-Brenneman, and Amy Stevermer

From professional radiosonde data to information from a backyard rain gauge, observation is key to understanding extreme weather and our local environment. Resilient Earth, Resilient Communities, a traveling exhibit collaboratively designed by the Center of Excellence for Education, Engagement & Early-Career Development (EdEC) at the U.S. National Science Foundation National Center for Atmospheric Research (NSF NCAR) and the University Corporation for Atmospheric Research’s Center for Science Education (UCAR SciEd), explores how we use this foundational concept of observation to gather information on extreme weather patterns and subsequent impacts on local environments in order to build more resilient communities. Since 2019, the exhibit has traveled to 19 locations across the United States, including public libraries, cultural centers, and universities. With each host, we co-design one exhibit display of content to contextualize the exhibit within specific extreme weather events experienced by the host community and adaptation strategies being employed by community members. In 2025, the exhibit team collaborated with hosts across Alaska to bring the exhibit to five different locations. Additionally, we partnered with a private company to bring a smaller version of the exhibit to passengers on an expedition cruise ship traveling throughout coastal Alaska. In this presentation, we address our co-design process for collaborating with and engaging communities and the private sector. We will also discuss results from a recent evaluation of the effectiveness of the exhibit in sparking dialog and creating emotional connections to the content, as well as provide actionable insights to designing a traveling exhibit.

How to cite: Zietlow, D. W., Haacker, R., Hatheway, B., Montaño, P., McCauley-Hartner, A., Portier, E., Smelter, J., Snode-Brenneman, E., and Stevermer, A.: Sharing science on the road: Bringing a traveling exhibit on extreme weather and community resilience to Alaska through community and private sector partnerships, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13519, https://doi.org/10.5194/egusphere-egu26-13519, 2026.

Rainfall is a familiar phenomenon for most people and is often perceived as a constraint. Yet, it usually receives little attention, as daily activities take priority. As rainfall and hydrology scientists, we seek to engage the general public and improve understanding in a field that is often affected by misinformation. More broadly, our goal is to stimulate curiosity and awareness of the surrounding geophysical environment.

To contribute to this effort, we designed and implemented a series of multisensory experiences centered on rainfall, guided by three main objectives: (i) to actively engage people with geoscience topics by encouraging them to observe their environment; (ii) to offer a simple and enjoyable moment that allows them to focus on geophysical phenomena; and (iii) to provide new knowledge about rainfall. Regarding this last objective, sensory involvement is a powerful tool for enhancing learning and memory.

We proposed three simple experiences that require no material other than rainfall itself and an open mind, and that conveys clear take-home messages. The three experiences are: feeling raindrops and their sizes on the hand or face while walking; listening to rain falling on different surfaces (such as a tent, umbrella, or metal sheet); and observing rainfall near a lamppost at night. The first highlights the variability of drop sizes, the second illustrates the temporal variability of rainfall, and the third reveals the combined temporal variability of rainfall and wind. Participants are invited to read short instructions before, and to fill out an open-ended form to report their sensations and observations.

The feedback collected for more than 60 experiences carried out in more than 5 different countries will be presented. Disparities of feeling between the three experiences will be presented.

How to cite: Gires, A. and Dallan, E.: Enhancing awareness of the geophysical environment through a multisensory rainfall experience, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14749, https://doi.org/10.5194/egusphere-egu26-14749, 2026.

EGU26-14937 | Posters on site | EOS1.1

Groundbreaking Science Discoveries and Successes enabled by ESA Earth Observation Satellites 

Maurice Borgeaud, Jonathan Bamber, Anny Cazenave, Yann Kerr, Michaela Hegglin, Marta Marcos, Christian Massari, Johanna Tamminen, Chris Rapley, Jonas L'Haridon, and Courtney Allison

The presentation will introduce a brochure (see reference below) that was prepared by the Earth Science Panel of the European Space Science Committee, which describes twelve groundbreaking science examples enabled by Earth observation satellites, representing the four main thematic domains of Earth sciences, namely: atmosphere, polar regions, ocean, and land. The different examples highlight the value across the Earth sciences of Earth Observation satellite missions, how they have resulted in transformative scientific breakthroughs, and their value to society and human endeavour.

Taking note that ESA is already very active in the communications of EO results, https://www.esa.int/Applications/Observing_the_Earth, the aim it to produce a simple and easy to understand document that can convincingly demonstrate the huge science and societal benefits brought by ESA EO satellites. The document provides 12 examples clearly identifying the discoveries enabled by EO satellites.  Most examples are based on ESA missions (ERS-1, ERS-2, ENVISAT, Earth Explorers) and European Commission Copernicus programme (Sentinels), but other sources of data from European national missions and NASA are used.

The approach for the preparation of this document was driven by an ambition to translate the details and results of landmark scientific breakthroughs to a policy-oriented audience through the employment of concise, clear, and approachable language. To further aid in understanding, the text was accompanied by impactful and sharp graphics generated in collaboration between the scientists, communication experts, and professional graphic designers.

The presentation will describe how the document was conceived, the selection process to arrive at the 12 examples, and the satellite data used. Special attention will be also given on the process to convert scientific results published from highly ranked journals to easily understandable text and graphics which make the core of the document. Lessons learned on the process will be reported and some of the examples of the brochure will be detailed in the presentation.

This new perspective could act as a template for future promotion of space agency scientific excellence and value.

 

Reference:

Borgeaud, M., Bamber, J., Cazenave, A., Hegglin, M., Kerr, Y., Marcos, M., Massari, C., Tamminen, J., Rapley, C., L’Haridon, J. and Allison, C., Earth Observation Groundbreaking Science Discoveries, ESA publication, 2025, https://doi.org/10.5270/ESSC-ESA-EO-Groundbreaking-Science-2025, available for download at https://www.essc.esf.org/2025/01/21/news-eo-brochure/.

 

 

How to cite: Borgeaud, M., Bamber, J., Cazenave, A., Kerr, Y., Hegglin, M., Marcos, M., Massari, C., Tamminen, J., Rapley, C., L'Haridon, J., and Allison, C.: Groundbreaking Science Discoveries and Successes enabled by ESA Earth Observation Satellites, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14937, https://doi.org/10.5194/egusphere-egu26-14937, 2026.

EGU26-15455 | Orals | EOS1.1

Learning, creating, and sharing: A science communication framework for water and climate education 

Lisa Gallagher, Jasmine Pinchinat, Mario Soriano, and Reed Maxwell

Since 2015, the Integrated GroundWater Modeling Center has engaged diverse audiences in water and climate science through community education and outreach programs including STEM fairs, university courses, teacher workshops, and week-long camps for high school students. Across these varied contexts, science communication has served as a consistent throughline, informing both how participants learn scientific content and how they share it with others.

Over this period of engagement, participant groups took part in parallel learning of hydrology-focused scientific content and science communication principles, applying both to the creation of communication products, and synthesizing new knowledge and tools to engage effectively with peers and public audiences. Participants across this collection of programs created a wide range of science communication products, including hands-on activities, videos, games, audio products, and digital tools. Together, these methods and outcomes supported participants in communicating complex water and climate topics in accessible and meaningful ways.

This presentation will highlight educational approaches refined over a decade of programming, reaching over 10,000 in-person participants and a similarly sized audience through digital tools and lessons. Evaluation metrics collected across program iterations indicate consistent gains in self-reported knowledge and suggest positive participant experiences. It will also share core elements of the instructional framework and key lessons learned from a decade of communication and outreach, including observed impacts and practical insights for designing hands-on science communication experiences. By providing structured opportunities to both learn and practice science communication, these programs support participants in understanding how scientific knowledge is developed and communicated, with the broader goal of building trust in scientists and the scientific process.

How to cite: Gallagher, L., Pinchinat, J., Soriano, M., and Maxwell, R.: Learning, creating, and sharing: A science communication framework for water and climate education, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15455, https://doi.org/10.5194/egusphere-egu26-15455, 2026.

Recent advancements in AI technology have paved the way for the creation of sophisticated, educational avatars. These avatars are human-like in their interactions; they can listen to spoken input, generate appropriate responses, and communicate their answers through synthetic speech.  While AI-generated avatars are becoming more common for a variety of purposes in commercial sectors, they are rarely used in scientific fields. 

This technology represents a unique opportunity to reduce some of the roadblocks which can prevent students from pursing climate science as a career.  1) Many students, especially those from smaller communities, have never personally met a scientist, 2) they do not perceive climate science as a viable career path, and 3) students may not have been exposed to scientists who come from similar cultural backgrounds as themselves.  This project helps to address these challenges by bringing climate scientists directly into schools and communities, allowing students to have one-on-one conversations with scientists who can answer their questions and talk about science-related careers. AI avatars also enable students to engage with climate scientists who reflect their own appearances and cultural backgrounds, fostering a sense of relatability and inclusion.

Our team is creating AI-driven Virtual Climate Scientists who are trained to interact in real-time with both students and the general public.  These AI avatars are able to answer questions about their careers, current research in their field, and educational pathways that an interested student could consider. Each AI avatar represents a different field of climate science, and each has a different personal background, representing a wide range of cultures, educational backgrounds, life experiences, and personal stories.

We will present the current status of the project development, initial testing results from the beta-versions of the avatars, and lessons learned in the creation of each individual Virtual Climate Scientist.

How to cite: Brevik, C., Jayasekera, T., and Merriman, T.: Creating AI-driven Virtual Climate Scientists to introduce both students and the general public to climate science careers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15954, https://doi.org/10.5194/egusphere-egu26-15954, 2026.

In many parts of the world, fire is a key and natural disturbance on the landscape. However, they can have devastating environmental and economic consequences when they burn into urban interfaces, and when they burn at intensities and frequencies outside the adaptive capacity of native flora and fauna. In the modern era, vestiges of colonial fire management paradigms based on emergency response and fire suppression, and now coupled with the effects of climate change, have resulted in fires burning at unprecedented frequencies, sizes, and intensities, damaging ecosystems, livelihoods, and human populations. These effects highlight the need for a new fire management paradigm - one that integrates not just response and suppression, but also relevant sociocultural and environmental aspects.

Here, I present a range of outreach activities I have delivered across a range of audiences at science festivals in Europe and the UK, informed in part by findings from a survey carried out through the FIRE-ADAPT consortium, an EU funded project studying Integrated Fire Management (IFM). In the survey, participants were asked what they considered the most important actions for effective fire management. The most prevalent response was Public Outreach and Participation, highlighting the importance of targeting educational outreach, science communication, and public engagement in the development of fire management policy. The outreach activities I present here address two of the key messages respondents highlighted: 1) that fire is a natural, inevitable, and important part of fire-adapted landscapes, and 2) humans are a part of that landscape, and dispelling the nature-culture divide is essential for taking ownership of their participation in landscape management. I will discuss my motivations for engaging in these outreach activities, and how I see the key messages fit into broader fire management policies.

How to cite: Hsu, A.: Spreading like a Wildfire: The Importance of Education and Outreach in Fire Management, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16109, https://doi.org/10.5194/egusphere-egu26-16109, 2026.

In Saitama Museum of Rivers, workshops and exhibitions on soil have been organized for more than 10 years and we will share the experience in this presentation.

To recognize and stimulate curiosity towards soil, touching or observing soil and making participants feel the soil is effective. Long-run workshops carried out for the museum visitors who are not familiar with soil are, 1. making shining soil balls with clayey soil, 2. dying cloths with fluvial and volcanic soil, 3. stepping on soil of fluvial (paddy) and volcanic (upland farm) soil, 4. painting with soil of different color, 5. observing soil animals and others. All workshops include touching and/or observing soil. Main participant is primary school students and below with their parents. Questionnaire was taken for 2 hours workshops 1 and 2, and both showed high level of satisfaction. Free statement of the questionnaire were as follows, “Surprised that fine soil becomes so hard (1)”, “Could understand well about soil (1, 2)”, “Feels good with shiny surface (1)”, “Very much absorbed in the work (1, 2)”, “Surprised with the color difference of the two soils (2)”, “It was fun to knead the soil (2)”. From these answers, it can be said that participants enjoyed working on soil while learning about soil. It seems good that participants could bring what they made back home, too. From the experience of different workshops, it is important to talk casually about soil during the workshop (while participants are working on the today’s menu) not only to the young participants, but to their parents. Not the formal, lecture type but casual and relaxed talk stimulates curiosity to soil, which may lead to next question. As for exhibition, Soil Monolith Exhibition (2012), What is Soil (touring exhibition, 2015), Soil Watching (2023) were organized. “What is Soil” toured 13 different places, 7 of which content was fully exhibited and others partly, and number of total visitors was 50,757. Age of visitors is wide, and it was tried that contents would not be too technical yet keeping necessary information. Effort was made on hands-on and real material (e.g. monoliths) exhibits. From the questionnaire, visitors were satisfied because “could get to know about soil which is close to us but not familiar with”, “could actually see the real soil and touch the exhibits”, and not satisfied because “too technical and too many letters” (free statements). Contribution of soil monoliths to raise interest toward soil seemed high. Guide tours were arranged several times and they were popular, so face to face guide tour has great demand. Overall, satisfaction level was high and effective on people to get to know soil, with a room for better achievement.

How to cite: Mori, K. and Kosaki, T.: Appealing to the senses, long-run workshops and exhibitions on soil for museum visitors, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16330, https://doi.org/10.5194/egusphere-egu26-16330, 2026.

EGU26-16408 | Posters on site | EOS1.1

Public perceptions of cross-cascading climate change impacts: evidence from Bucharest, Romania 

Gabriela Ioana-Toroimac, Dana Maria Constantin (Oprea), Adrian Amadeus Tișcovschi, and Andreea Raluca Niculescu

The aim of the study was to identify cross-cascading impacts of climate change as perceived by the general public, in order to further develop strategies for education and awareness. The study employed an open-ended survey conducted in the city of Bucharest, located in southern Romania. Respondents were asked to provide examples of climate change impacts across different categories (environment, society, and economics).

The respondents identified a wide variety of environmental consequences, the most frequently mentioned being the increased frequency and/or magnitude of meteorological, climatic, and hydrological hazards. Drought ranked highest, being identified by 48% of all respondents. Public health emerged as the most important societal concern related to climate change (mentioned by 39% of respondents), with particular emphasis on the fatal effects of heat waves (designated by 10% of respondents). From an economic perspective, losses in agriculture were considered the most significant consequence of climate change by 59% of respondents.

In addition to these general findings, several specific perceptions emerged. 17% of respondents considered rising prices to be a consequence of climate change; in the context of water scarcity, they anticipated higher costs for irrigation, hydropower generation, fluvial transportation, and new methods to reduce water pollution, ultimately leading to higher prices of final products. This was followed by concerns regarding a decline in living standards. Furthermore, 20% of respondents indicated that industry and services are changing their structure in response to green requirements, while outdoor labor conditions are increasingly influenced by extreme weather, leading to labor market changes aimed at adapting to these new conditions.

The responses demonstrated a good understanding of the natural phenomena and processes occurring in southern Romania in recent years. They also revealed concerns regarding the future evolution of the economy. Overall, respondents showed a clear awareness of the cross-cascading impacts of climate change. However, climate change cannot be dissociated from other factors influencing social life and economic development; therefore, respondents’ perceptions are likely shaped by a multitude of contributing elements.

In a proactive approach, new curricula and academic study programs should be developed to address extreme weather, water scarcity, and the evolving labor market in southern Romania, in order to support career integration and ensure a sense of financial security.

How to cite: Ioana-Toroimac, G., Constantin (Oprea), D. M., Tișcovschi, A. A., and Niculescu, A. R.: Public perceptions of cross-cascading climate change impacts: evidence from Bucharest, Romania, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16408, https://doi.org/10.5194/egusphere-egu26-16408, 2026.

EGU26-17919 | Posters on site | EOS1.1

Analysis of Weather Broadcasting in Public Media: A Case Study of MTVA News and Weather Reports 

Csilla Molnár, Csilla Ilyés-Vincze, Ádám Leelőssy, and Zsuzsanna Soósné Dezső

The integration of meteorological information into public media is vital to promote public awareness and engagement. This study investigates the audience performance of the Hungarian Public Media (MTVA- Media Service Support and Asset Management Fund) weather reports and news broadcasts during 2023 and 2024. As extreme weather events and climate-retated issues increasingly shape daily life, the need for reliable and timely meteorological information has become more pronounced. This research examines how M1 channel’s weather reports influence viewer engagement, particularly in relation to broader television consumption habits and major socio-political events.  Using Nielsen Audience Measurement data, we analysed 13,758 weather reports, representing an average of 18-20 broadcasts per day. In the two-year period, these programmes accounted for 656 hours of airtime. The broadcasts reached more than 5.1 million viewers, covering 60.5% of the television audience aged four and above, with viewers watching an average of 78 weather reports annually.

Viewing patterns show clear peaks during early morning, midday, and evening news periods, closely linked to daily routines. Demographic analysis revealed that urban residents, particularly in Budapest, exhibit higher engagement rates compared to rural areas, reflecting global trends observed in studies such as those by the Pew Research Center and Nielsen. Additionally, older audiences (aged 60 and above) demonstrated the most consistent viewership, while the younger population (18-29 years of age) showed a preference for digital platforms over traditional television.

Using detailed audience data, the study explores how weather forecasts attract and retain viewers, highlighting factors such as broadcast timing, content organisation, and the placement of meteorological updates into news program.

Overall, the findings confirm that television remains a relevant and effective channel for meteorological communication, particularly among older and urban audiences. At the same time, the results emphasise the importance of strategically incorporating digital media in order to reach younger viewers more effectively. These insights contribute to ongoing discussions about optimising weather communication in the digital era and offer practical implications for public service broadcasters internationally.

How to cite: Molnár, C., Ilyés-Vincze, C., Leelőssy, Á., and Soósné Dezső, Z.: Analysis of Weather Broadcasting in Public Media: A Case Study of MTVA News and Weather Reports, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17919, https://doi.org/10.5194/egusphere-egu26-17919, 2026.

EGU26-18054 | Orals | EOS1.1

Communication within the UK flood hydrology community: bridging the gaps between science and practice  

Linda Speight, Emma Ford, Anita Asadullah, Louise Slater, Sally Brown, Helen Harfoot, Owain Sheppard, Chris Skinner, Clare Waller, and Thomas Willis

Flood hydrology sits at the interface of science, public protection, infrastructure planning, and regulation. It is a broad and interdisciplinary field; in a recent UK survey of users of hydrology only 45 % self-identified as a hydrologist. To ensure society is prepared for increasing hydrological risks, effective communication within this diverse community is essential. Without clear pathways for translation pathway between policy priorities, emerging research and operational needs, critical planning and policy decisions risk being made on outdated assumptions. However, operational decisions are not always able to draw upon the latest research into process understanding or modelling approaches due to multiple barriers. These barriers include uneven access to data and tools, capacity constraints, differences in incentives across sectors and the limited time for relationship building and knowledge translation across different expertise

Here, we present insights from around 60 participants at a “science into practice” workshop hosted at the British Hydrological Society Symposium (University of Oxford, September 2024). The workshop was designed as a sector-spanning exercise between researchers, consultants, regulators, and practioners working on flood hydrology across the UK. Across sectors, participants converged on six priority themes: (1) working together, (2) funding and responsibilities, (3) skills and training, (4) data, (5) methods, and (6) accreditation and usability. We reflect on how these themes provided insights into the challenges and opportunities for science communication, knowledge translation and collaboration, and why such activities are often undervalued despite their critical role for improving flood-risk decisions. We conclude with practical recommendations for improving “science into practice” pathways in flood hydrology with more inclusive cross-sector communication aligned with the goals of the co-developed 25-year UK Flood Hydrology Roadmap. These lessons learned are transferable to other areas of environmental risk where effective communication and collaboration are crucial for delivering societal and environmental benefits.  

How to cite: Speight, L., Ford, E., Asadullah, A., Slater, L., Brown, S., Harfoot, H., Sheppard, O., Skinner, C., Waller, C., and Willis, T.: Communication within the UK flood hydrology community: bridging the gaps between science and practice , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18054, https://doi.org/10.5194/egusphere-egu26-18054, 2026.

EGU26-20402 | Posters on site | EOS1.1

Perception of risk associated with tropical days in urban environments and implications for public health: A case study of Bucharest, Romania 

Dana Maria Constantin (Oprea), Gabriela Ioana-Toroimac, Elena Grigore, Adrian Amadeus Tișcovschi, Raul Gabriel Ilea, and Mihai Andrei Nițu

In most mid- and high-latitude regions, a decrease in the frequency of very low temperatures and an increase in the frequency of high temperatures have been observed as a consequence of ongoing global warming. Tropical days, defined as days with a maximum air temperature of at least 30°C, represent a key climatic indicator for assessing the impact of heat excess on the urban environment. The increasing frequency of these days in recent decades, amplified by the urban heat island effect, accentuates the thermal discomfort and the vulnerability of urban population.

The perception of risk associated with the increasing frequency of tropical days is influenced by the mode of institutional communication and by the availability of clear and credible early warning systems. The aim of this study is to quantify the level of information and awareness among the population of the Bucharest metropolitan area, the capital of Romania, regarding how the human body perceives and reacts to high air temperatures. Cities of Bucharest’s size can modify the air temperature, increasing it by approximately 5–6°C above the temperature of the surrounding area. The analysis was based on a questionnaire containing semi-open questions with multiple response options, applied individually and directly, to a sample of 267 participants. 44% of respondents reported feeling vulnerable to daily air temperature equal to or exceeding 30°C, 40% answered sometimes, in certain situations, and the rest that they are not vulnerable to such air temperature. Respondents associate, in decreasing order of the number of answers, excess heat with dehydration, fatigue and insomnia, irritability, respiratory problems, and muscle cramps and aches. As measures to improve living conditions during periods with tropical days, participants consider the need for more urban green spaces, greater environmental responsibility at both individual and collective levels (through systematic ecological and climate education), and the establishment of additional hydration and first aid points.

Integrating public perception into urban planning and public health policies is essential for reducing the risk associated with tropical days in cities and adapting to climate change, because thermal stress is not an isolated phenomenon but one that disproportionately affects the elderly, children, individuals with chronic illnesses, and low-income communities.

How to cite: Constantin (Oprea), D. M., Ioana-Toroimac, G., Grigore, E., Tișcovschi, A. A., Ilea, R. G., and Nițu, M. A.: Perception of risk associated with tropical days in urban environments and implications for public health: A case study of Bucharest, Romania, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20402, https://doi.org/10.5194/egusphere-egu26-20402, 2026.

EGU26-21016 | ECS | Orals | EOS1.1

Community organising and engaging young people with climate change research and policies 

Emma Hanson, Carl Stevenson, YouCAP members, Richard Campbell, Saidul Haque Saeed, and Sarah Greene

The inclusion of young people in climate change and palaeoclimate research has never been more important. There is a general uncertainty for our long-term future that is felt more within the young people within society, with climate anxiety a source of concern. Communication around climate change and palaeoclimate research to the general public is often in the form of education and traditional public engagements, such as social media, blogs and the press. 

Through work with Citizens UK, a diverse people-powered alliance of civil society institutions, we are working with a group of young people (aged 14-18) from a mixture of schools and city centre youth clubs based in deprived areas to create YouCAP, a youth climate advisory panel in the city of Birmingham. This work is linked to a larger NERC-funded project (C-FORCE) that is focusing on climate change in the past. We are training young people in broad-based community organising techniques, empowering them to speak to those in positions of power, like local councillors and leaders, and to conduct a local listening campaign about policy related to climate change. The first cohort of YouCAP participants found a general apathy for climate change issues in their communities, with many people naming personal issues such as the cost of living crisis or housing problems as higher priorities. The young people went on to create a podcast exchanging perspectives with those in power, with guests including a local councillor involved in city wide sustainability efforts, a scientist from the C-FORCE project, and a PhD student researching critical metals for the energy transition. Already YouCAP played a critical role in making climate change a national priority for Citizens UK and  leveraged the podcast recording with the local councillor to extract a promise of organising a youth climate assembly about local climate policy in the near future.

This work is ongoing, with continuous recruitment of new members of YouCAP, as well as the development of relationships with other key partners. Our final aim is to enact change at a local level with the work we have been doing with the young people through discussions around climate-related policies with local government leaders. By conducting this community engagement within the larger sphere of an international multi-disciplinary science project, a greater understanding of how the project outputs are absorbed by communities will be gained and trusting relationships will be formed with local communities, which is needed to convey the issues surrounding climate change to the public.

How to cite: Hanson, E., Stevenson, C., members, Y., Campbell, R., Haque Saeed, S., and Greene, S.: Community organising and engaging young people with climate change research and policies, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21016, https://doi.org/10.5194/egusphere-egu26-21016, 2026.

EGU26-21176 | Orals | EOS1.1

From Knowledge Production to Societal Relevance in Earth Sciences 

Rosa Rodríguez Gasén and María Arista-Romero

Clearly, communication, dissemination and outreach play an increasingly important role in the social impact of research. Beyond performing solid and high-quality scientific knowledge, research centres are expected and required to ensure that the results obtained are accessible, useful, meaningful, and relevant to a wide range of publics and audiences.

This talk aims to showcase the communication, dissemination, and outreach activities implemented by the Earth Sciences Department at the Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BS-CNS). The actions carried out in the field of communication and dissemination of Earth Sciences will be presented, and the lessons learnt and the challenges ahead for fostering the exchange of knowledge among various stakeholders, including (multidisciplinary) research teams, communication and dissemination professionals, and stakeholders, will be discussed.

The coordination of communication, dissemination and knowledge exchange activities within the framework of various research projects, which often pursue different objectives and have varying paces, will also be explained, as well as the role of teams dedicated to knowledge integration in building a bridge for dialogue with the user communities of the results obtained. The talk will explore how participatory approaches, co-creation processes, and different adaptive communication formats can contribute to reinforcing relevance, fostering mutual learning, and improving trust between researchers and stakeholders.

While sharing transferable lessons and questions that are still open, this overview aims to encourage ongoing discussions and debates about how research institutions, in our particular case in the scientific field of Earth Sciences, should move from simple ad hoc dissemination activities to more strategic, integrated, and impact-oriented communication and engagement practices in society.

How to cite: Rodríguez Gasén, R. and Arista-Romero, M.: From Knowledge Production to Societal Relevance in Earth Sciences, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21176, https://doi.org/10.5194/egusphere-egu26-21176, 2026.

EGU26-21456 | Orals | EOS1.1 | Highlight

Expanding the Space of Climate Agency: From Individual Decisions to System Dynamics 

Elena Claire Ricci, Giulia Tasquier, Francesca Pongiglione, and Sonia Morandi

Young people show a growing willingness to contribute to climate change mitigation, yet empirical evidence consistently highlights the persistence of misconceptions, fragmented knowledge, and difficulties in translating intentions into effective action. This lack of orientation is not surprising given the complexity of the socio‑ecological processes at stake. It is therefore crucial to develop educational tools to support individuals in critically engaging with these challenges, developing the ability to make informed decisions and take effective action. Supporting orientation toward agency in such contexts requires educational strategies capable of making systemic dynamics visible, explorable, and grounded in real-world data. This contribution is developed within the ENCOMPASS project, a multidisciplinary research initiative integrating perspectives from philosophy, economics, and science education to investigate agency in the context of climate change. ENCOMPASS conceptualises agency through three complementary and integrated lenses: epistemic-driven, ethical-refelctive and systemic-pragmatic. For this contribution, we focus on the systemic–pragmatic dimension of agency, which expands the space of action by linking individual decision-making to system-level dynamics and collective consequences.

It is specifically focused on food practices, i.e., day-to-day ‘simple’ decisions that offer significant individual climate-change mitigation opportunities. In particular, we study two key behaviours: reducing meat consumption and reducing food waste, analysing perceptions, barriers, and drivers of adoption.

The research follows two phases: (i) an exploratory qualitative analysis with students from two Italian upper‑secondary schools through focus groups, which generated concept maps used to identify the most crucial issues and thus relevant variables; (ii) the design and administration of a structured survey to a representative sample of the Italian population (N=1400).

The survey investigated individual food-related choices and behaviours in real contexts with a strong focus on the motivations and the characteristics of the context in which they were taken. Moreover, through the use of validated scales we evaluate perceptions, concerns, values, knowledge, social and moral norms of respondents. These dimensions allow for a detailed analysis of how beliefs, cognitive factors, social influences, and socio-demographic characteristics affect individual adoption of more climate-friendly and sustainable food-practices. The outputs of the analysis of this data collection are used as the empirical base to calibrate a system-dynamics simulation-model identifying potential dynamics of behaviour adoption among individuals. This modelling can generate interactive scenarios showing the (aggregated) effects of changes to individual behaviours, which could potentially contribute to strengthen youth orientation toward sustainable food-choices.

The model enables the exploration of feedback mechanisms and scenario-based outcomes, illustrating how individual decisions may aggregate and evolve within a complex system over time. We argue that empirically grounded SD simulations can function as powerful educational tools, supporting learners in critically engaging with complex socio-ecological processes, exploring “what-if” scenarios, and understanding the systemic implications of everyday decisions. By bridging individual action, empirical data, and system-level modelling, this work contributes to expanding the space of climate agency in education and beyond.

The proposed modelling approach allows agency to be examined through the dynamic relations between individual decisions and system-level outcomes, offering a concrete way to analyse how possibilities for action are shaped, enabled, and constrained within complex socio-ecological systems.

How to cite: Ricci, E. C., Tasquier, G., Pongiglione, F., and Morandi, S.: Expanding the Space of Climate Agency: From Individual Decisions to System Dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21456, https://doi.org/10.5194/egusphere-egu26-21456, 2026.

EGU26-21462 | ECS | Posters on site | EOS1.1

Using Environmental Observatory Data from the Navarino Environmental Observatory (NEO) to Advance Climate Change Education in the Mediterranean 

Georgios Maneas, Christos Pantazis, and Martina Hättestrand

Environmental observatories provide powerful real-world contexts for advancing climate change education and fostering engagement with Earth system science. The Navarino Environmental Observatory (NEO), located in southwestern Greece, integrates long-term environmental monitoring with interdisciplinary research, generating high-resolution datasets on atmospheric conditions, ecosystem dynamics, soil and hydrological processes, and biodiversity change in a Mediterranean climate hotspot. By linking empirical observations to education and outreach activities, NEO supports learning experiences that connect scientific evidence to place-based climate impacts and societal challenges.

This contribution presents how NEO observational data are embedded in participatory education initiatives to enhance climate literacy, critical thinking, and data competencies across diverse learner groups. Drawing on examples from international field courses, summer schools, living lab activities, and community workshops, we show how students and stakeholders engage directly with real environmental datasets to interpret trends, explore uncertainty, and understand feedbacks between climate, ecosystems, and land management. Particular attention is given to how data-driven learning influences climate perceptions, supports interdisciplinary understanding, and encourages informed dialogue between scientists and society.

Our experience demonstrates that combining long-term environmental observations with experiential and participatory educational approaches strengthens climate change education, promotes trust in scientific evidence, and supports the development of actionable knowledge for climate adaptation and sustainability.

How to cite: Maneas, G., Pantazis, C., and Hättestrand, M.: Using Environmental Observatory Data from the Navarino Environmental Observatory (NEO) to Advance Climate Change Education in the Mediterranean, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21462, https://doi.org/10.5194/egusphere-egu26-21462, 2026.

The communication of paleontological heritage to non-specialist audiences presents unique challenges: fossils are fragmentary, ancient environments are invisible, and the scientific reasoning connecting evidence to reconstruction is often opaque. This contribution examines how generative artificial intelligence and three-dimensional digital technologies are transforming science communication practice in paleontology while proposing an epistemological framework to ensure scientific integrity in public engagement.

We present a four-paradigm classification distinguishing: (1) Empirical methods (photogrammetry, structured-light scanning, LiDAR) that produce metrically accurate digital surrogates of physical specimens; (2) Neural Scene Representation (Neural Radiance Fields, 3D Gaussian Splatting) that reconstruct scenes from sparse image sets through learned interpolation; (3) Generative AI (diffusion models, large language models, image-to-video synthesis) that create novel content based on pattern recognition rather than direct observation; and (4) Hybrid approaches that combine two or more methodologies. This framework addresses a fundamental question for science communicators: whether a given digital output constitutes a record, a representation, or a hypothesis—a distinction critical for maintaining public trust.

We demonstrate applications ranging from constraint-based paleoartistic reconstruction to AI-generated video synthesis for museum exhibitions and educational programs using real-world workflows created at Centro Ciência Viva de Lagos, Portugal, as part of the PaNReD (ALG-07-527-FSE-000044) and SciTour (ALG-01-0145-FEDER-072585) projects. A key case study involves the digital reconstruction workflow for Cariocecus bocagei, a new hadrosauroid from the Lower Cretaceous of Portugal, illustrating the complete pipeline from photogrammetric capture of fossil specimens through AI-assisted life reconstruction and video generation. This process illustrates how empirical 3D models function as anatomical constraints for generative AI, guaranteeing that paleoart remains connected to physical evidence while simultaneously achieving the visual impact required for effective public engagement. We critically examine the phenomenon of “hallucinated heritage”—the risk that visually convincing AI outputs may inadvertently disseminate subtle biases or fabrications to public audiences who lack the expertise to distinguish evidence-based reconstruction from algorithmic speculation.

The most challenging obstacle we have faced is the preservation of the distinction between what is known from fossil evidence and what is inferred or imagined, especially when AI-generated imagery attains a photorealistic quality that may imply false certainty. Our approach addresses this through explicit labeling of epistemological status, transparent documentation of AI prompts and constraints, and educational materials that use the reconstruction process itself as a teaching tool about scientific reasoning.

We argue that these technologies do not diminish the role of the scientist-communicator but rather transform it from “guardian of the rock” to “authenticator of reality.” The emotional connection fostered by immersive 3D environments and lifelike paleoart reconstructions can enhance public engagement with deep time, provided that communication strategies explicitly address the epistemological status of digital outputs. This session contribution shares lessons learned from five years of integrating digital technologies into science centre programming, offering a framework for practitioners seeking to harness AI's communicative power while preserving scientific integrity.

How to cite: Azevedo Rodrigues, L.: Generative AI and 3D Digital Technologies for Paleontological Heritage Communication: An Epistemological Framework and Practical Applications, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21526, https://doi.org/10.5194/egusphere-egu26-21526, 2026.

EGU26-21602 | Posters on site | EOS1.1

Acknowledging different levels of audience engagement in science in research outreach strategies 

Timothy D. James, Guðfinna Aðalgeirsdóttir, Christine S. Hvidberg, and Eliza Cook and the ICELINK Team

The outreach strategies of research projects often focus on ambitious objectives such as improving the knowledge base for stakeholders, promoting uptake of informed strategies and societal transitions, increasing awareness of research, etc. However, objectives like these take for granted that target audiences are engaged in science and trustful of expertise when we know that there is a growing population throughout society who are neither. The growing mistrust of science and experts is, at least in part, a failure of the science community to reach and engage with a significant sector of society.  In an attempt to address this deficiency in our own work, the ICELINK project aims to tailor key messages to identified target audiences that acknowledge these differing levels of engagement and trust.  While recognizing target audiences, including local stakeholders, policymakers, and the general public, we also recognize that within these audiences we will find individuals and groups who are:

  • highly engaged (e.g., those who would, for example, eagerly attend a public science event);
  • marginally engaged (e.g., those who would attend a public science event if it were convenient or brought to them, but might not actively seek one out); and
  • unengaged (e.g., those who would not attend a public science event without some external motivator).

While scientists tend to excel at engaging with members of the public who are highly and marginally engaged in science, those in the third category are at high risk of being overlooked. With this in mind, in addition to sharing ICELINK’s science objectives, results, and outputs in innovative and creative ways, we also intend to help rebuild trust in science by sharing messages of greater relevance to less engaged audiences. For example, when communicating about climate change, we aim to use more positive messaging of hope and empowerment through personal action, an approach that is thought to increase an audience’s receptiveness compared to focusing solely on the consequences of climate change and inaction. We can also help make scientists (and experts generally) more relatable through personal perspective storytelling, and we will use “lightening experiences” (a.k.a. the “wow factor”) to help audiences appreciate difficult-to-grasp concepts (like vast spatial and temporal scales) and to remind people about the power and possibilities of science.

Scientists need to be better at reaching more diverse members of the general public. When planning our outreach strategies, if we can adjust our pathways to engagement, messaging, and expectations to be relevant to the full engagement/trust spectrum, perhaps we can have more of an impact on all audiences.

How to cite: James, T. D., Aðalgeirsdóttir, G., Hvidberg, C. S., and Cook, E. and the ICELINK Team: Acknowledging different levels of audience engagement in science in research outreach strategies, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21602, https://doi.org/10.5194/egusphere-egu26-21602, 2026.

Social media has become a key bridge between the scientific community and the broader public. Early Career Researchers (ECRs) in Latin America have increasingly embraced digital platforms to engage non-specialist audiences with geosciences content, especially during the COVID-19 pandemic. One such initiative is Divulgación Terróloga, a non-profit, self-funded science communication project launched on June 11, 2019, by Mexican ECRs. The project aims to communicate Earth system processes clearly and accurately in Spanish through Facebook and Instagram. Our content covers all Earth spheres topics and features regular posts that promote the visibility of geosciences and the scientific work of mainly ECRs. The section "Miércoles de Jóvenes Investigadores" (Young Researchers Wednesday) highlights the research of students and early-career scientists, while the section "Geocientíficos en Acción" (Geoscientists in Action) focuses on geoscientists working beyond academia. We also conduct interviews with established researchers to highlight diverse career paths. In this presentation, we share the scope, challenges, and impacts of running Divulgación Terróloga. By April 23, 2025, we have published ~360 posts, reached ~2200 people per post on average, and grown a following of over 5300, with our most popular post reaching nearly 60,000 views. The audience is gender-balanced (49% women, 51% men) and spans Latin America, the U.S., and Europe. Our posts have been translated automatically into English, French, and German. This talk aims to highlight the power of social media in promoting geosciences education, increasing the visibility of ECRs, and building international scientific networks and bridges with society through outreach.

How to cite: Martinez-Abarca, R.: A guide to outreach geosciences on social media: the case of Divulgación Terróloga, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21614, https://doi.org/10.5194/egusphere-egu26-21614, 2026.

EGU26-2979 | ECS | Posters on site | EOS1.4

Effects of emotional narratives and uncertainty visualization on non-experts’ trust in climate change forecast maps 

Sergio Fernando Bazzurri, Armand Kapaj, and Sara Irina Fabrikant

Climate change is an ongoing environmental and societal challenge. Communicating its ramifications and related uncertainties clearly to stakeholders and the public is an imperative task for time-critical decision-making. Public communication about climate change often includes maps, aimed at facilitating the understanding of complex scientific findings and making these more accessible to non-specialist audiences. This is especially important when difficult concepts such as inherent uncertainties related to climate predictions are involved.

While climate change communication may appear abstract and distant to non-experts, climate change discourse often involves strong emotional responses from the public. Engaging visual storytelling with climate change maps may be a useful strategy to reduce the psychological distance of the public. However, elicited emotions may influence how people perceive the presented information and thus their willingness to trust the maps.

We aimed to investigate the effect of emotional narratives on map readers’ trust in visualized (un)certainty information in static climate change forecast maps. We applied a 3x2 mixed factorial, map-based study design, including electrodermal activity measurements and eye-tracking. We designed three versions of climate change prediction map stimuli, inspired by the Swiss Climate Scenarios CH2018. Uncertainty was operationalized as a within-subjects independent variable such that participants viewed 18 map stimuli in total, showing different climate variables in randomized order, equally distributed across three conditions: (1) without uncertainty information, (2) uncertainty visualized as black gridded dots, or (3) uncertainty visualized as black randomly distributed dots. Following prior research, we used the term ‘certainty’ in our map stimuli, as it is better understood by the audience than ‘uncertainty’. We used narrative instructions as the between-subjects independent variable, with participants randomly assigned and matched across groups to one of the two conditions: (1) emotion or (2) control. In the emotion condition, each map stimulus was accompanied by an emotion-inducing verbal narrative and a human cartoon character. In the control condition, participants viewed the same map stimuli accompanied only by a factual verbal narrative.

We recruited 61 participants (30 females, 31 males, average age = 30 years) from the Department of Geography at the University of Zurich to participate in the study. After viewing each map stimulus, participants were asked (without any time restriction) to select one of the six predefined locations shown in the maps that they predicted to be most/least affected by climate change. Finally, they indicated their trust in each stimulus type using a standardized questionnaire.

Preliminary results suggest no significant differences in participants’ overall average trust ratings across the two narrative conditions. However, participants significantly trust climate change prediction maps more when certainty information is also included, regardless of the narrative condition they were assigned to. Conversely, we found no significant difference in trust ratings between the map stimuli that contain certainty information visualized as gridded or randomly distributed dots.

These novel empirical findings stress the need to visually communicate (un)certainty information to support people’s trust in climate science and climate change forecast maps. The use of cartoon characters to emotionally engage the public in climate change communication remains to be further empirically investigated.

How to cite: Bazzurri, S. F., Kapaj, A., and Fabrikant, S. I.: Effects of emotional narratives and uncertainty visualization on non-experts’ trust in climate change forecast maps, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2979, https://doi.org/10.5194/egusphere-egu26-2979, 2026.

EGU26-5507 | ECS | Posters on site | EOS1.4

Communicating hydrological model calibration with toy examples 

Georgia Papacharalampous, Francesco Marra, Eleonora Dallan, and Marco Borga

Informing robust decisions on flood risk and water resource management necessitates, among other factors, clearer communication of hydrological model uncertainty to non-specialist audiences. In this presentation, we demonstrate that simplified toy models, which abstract away systemic complexity, can serve as an accessible and effective tool for this purpose. As a specific case study, we illustrate how the choice of calibration scoring function shapes model behavior and associated uncertainty estimates. This foundational approach helps build the core intuition needed to effectively engage with more complex, real-world systems. Overall, we present a practical framework that supports experts articulate, and non-experts comprehend, the essential "why" and "how" of uncertainty in hydrological predictions.

Acknowledgements: This work was funded by the Research Center on Climate Change Impacts - University of Padova, Rovigo Campus - supported by Fondazione Cassa di Risparmio di Padova e Rovigo.

How to cite: Papacharalampous, G., Marra, F., Dallan, E., and Borga, M.: Communicating hydrological model calibration with toy examples, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5507, https://doi.org/10.5194/egusphere-egu26-5507, 2026.

EGU26-7755 | Posters on site | EOS1.4

Making Sense of Uncertainties: Ask the Right Question 

Alexander Gruber, Claire Bulgin, Wouter Dorigo, Owen Emburry, Maud Formanek, Christopher Merchant, Jonathan Mittaz, Joaquín Muñoz-Sabater, Florian Pöppl, Adam Povey, and Wolfgang Wagner

It is well known that scientific data have uncertainties and that it is crucial to take these uncertainties into account in any decision making process. Nevertheless, despite data producer’s best efforts to provide complete and rigorous uncertainty estimates alongside their data, users commonly struggle to make sense of uncertainty information. This is because uncertainties are usually expressed as the statistical spread in the observations (for example, as random error standard deviation), which does not relate to the intended use of the data.

Put simply, data and their uncertainty are usually expressed as something like “x plus/minus y”, which does not answer the really important question: How much can I trust “x”, or any use of or decision based upon “x”? Consequently, uncertainties are often either ignored altogether and the data taken at face value, or interpreted by experts (or non-experts) heuristically to arrive at rather subjective, qualitative judgements of the confidence they can have in the data.

In line with existing practices (e.g., the communication of uncertianties in the IPCC reports), we conjecture that the key to enabling users to make sense of uncertainties is to represent them as the confidence one can have in whatever event one is interested in, given the available data and their uncertainty.

To that end, we propose a novel, generic framework that transforms common uncertaintiy representations (i.e., estimates of stochastic data properties, such as “the state of this variable is “x plus/minus y”) into more meaningful, actionable information that actually relate to their intended use, (i.e., statements such as “the data and their uncertainties suggest that we can be “z” % confident that…”). This is done by first formulating a meaningful question that links the available data to some events of interest, and then deriving quantiative estimates for the confidence in the occurrence of these events using Bayes theorem.

We demonstrate this framework using two case examples: (i) using satellte soil moisture retrievals and their uncertainty to derive how confident one can be in the presence and severity of a drought; and (ii) how ocean temperature analyses and their uncertainty can be used to determine how confident one can be that prevailing conditions are likely to cause coral bleaching. 

How to cite: Gruber, A., Bulgin, C., Dorigo, W., Emburry, O., Formanek, M., Merchant, C., Mittaz, J., Muñoz-Sabater, J., Pöppl, F., Povey, A., and Wagner, W.: Making Sense of Uncertainties: Ask the Right Question, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7755, https://doi.org/10.5194/egusphere-egu26-7755, 2026.

EGU26-11747 | ECS | Posters on site | EOS1.4

An overview of the scientific literature on uncertainty communication in geoscience  

Iris Schneider-Pérez, Marta López-Saavedra, Joan Martí, Judit Castellà, Solmaz Mohadjer, Michael Pelzer, and Peter Dietrich

Uncertainty is an inherent part of geoscience research and arises at multiple stages of the scientific process, from data collection and modelling to analysis and interpretation. In recent years, growing attention has been devoted to uncertainty quantification and assessment, alongside increasing recognition of the importance of uncertainty communication. These aspects are closely linked, as robust characterization of uncertainty provides an essential basis for transparent communication within the scientific community and beyond it.

Communicating uncertainty not only plays a key role in improving the understanding of how scientific knowledge is produced, but can also help to foster trust by increasing transparency and contextualizing results. Nevertheless, reluctance to explicitly assess and communicate uncertainty persists, particularly when addressing non-expert audiences. This challenge is especially relevant in the context of natural hazard risk assessment and management: Here, adequate communication of uncertainties can add particularly valuable information for decision-making, risk governance, and a better understanding of the risks at hand among public audiences.

This contribution presents an exploratory, database-driven overview of the scientific literature on uncertainty communication in geoscience, with a particular focus on natural hazards. Using structured queries in the Web of Science database, we examine publication trends over time, disciplinary distributions, thematic emphases, and possible blind spots. Keyword combinations range from general terms such as “uncertainty communication” and “multi-hazard communication” to more specific queries combining uncertainty, communication, and individual natural hazards (e.g., floods, earthquakes, droughts).

Preliminary results indicate that uncertainty communication spans a broad range of scientific categories, while the level of attention varies substantially across hazard types, with flood-related studies being more prominent than others. Initial findings also suggest that multi-hazard uncertainty communication remains comparatively underrepresented, despite the increasing emphasis on multi-hazard and multi-risk assessments in recent research and policy frameworks. The growing volume of publications further highlights the need for systematic approaches to literature mapping, as well as the potential role of data-driven and AI-assisted tools in supporting such analyses.

This research was partially funded by the European Civil Protection and Humanitarian Aid Operations (ECHO) of the European Commission (EC) through the VOLCAN project (ref. 101193100) and by the 2024 Research Prize of the Dr. K. H. Eberle Foundation to Mohadjer, Pelzer and Dietrich.

How to cite: Schneider-Pérez, I., López-Saavedra, M., Martí, J., Castellà, J., Mohadjer, S., Pelzer, M., and Dietrich, P.: An overview of the scientific literature on uncertainty communication in geoscience , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11747, https://doi.org/10.5194/egusphere-egu26-11747, 2026.

EGU26-11821 | Posters on site | EOS1.4 | Highlight

Heatwaves and Early Warning Systems: Perception Data and the Role of Science Communication – A Case Study from Romania 

Selvaggia Santin, Adina-Eliza Croitoru, Norbert Petrovici, Cristian Pop, Maria-Julia Petre, Enrico Scoccimarro, and Elena Xoplaki

Heatwaves are among the most impactful climate extremes in Europe, driving acute health risks and socio-economic disruption. They are a challenge for early warning and public understanding due to uncertainties in event onset, severity, and human response. Building on the interdisciplinary Strengthening the Research Capacities for Extreme Weather Events in Romania (SCEWERO) project funded by the European Union, this study investigates how scientific evidence, perception data, and communication strategies interact within Romania’s heatwave Early Warning System operated by Meteo-Romania. We analyse both empirical perception data — collected through structured surveys and focus groups to quantify how different communities interpret heat warnings, risk levels, and confidence intervals — and observational heatwave metrics to map divergences between communicated risk and public understanding. This research highlights specific sources of uncertainty faced by forecasters (e.g., variable heat exposure, model forecast spreads), and documents how these uncertainties are interpreted or misinterpreted by non-expert audiences. By tracing how uncertainty in forecast signals propagates through institutional warning messages and into public perception, we identify communication gaps that can lead to maladaptive responses or reduced trust in warnings during heat events. Framing uncertainty, contextualised risk information, and tailored communication strategies improve both public comprehension and behavioural intent during heatwave alerts. We propose evidence-based recommendations for operational Early Warning Systems that move beyond fixed deterministic thresholds, instead incorporating probabilistic messaging where appropriate and grounding risk communication in locally derived perception data. This work illustrates how harmonising scientific uncertainty communication with Early Warning practices can strengthen societal resilience to heatwaves, offering a transferable framework for climate risk communication in other European regions.

How to cite: Santin, S., Croitoru, A.-E., Petrovici, N., Pop, C., Petre, M.-J., Scoccimarro, E., and Xoplaki, E.: Heatwaves and Early Warning Systems: Perception Data and the Role of Science Communication – A Case Study from Romania, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11821, https://doi.org/10.5194/egusphere-egu26-11821, 2026.

Aquifer thermal energy storage (ATES) is a way to use the groundwater to heat and cool buildings, with very low CO2 emissions. It classifies as a shallow geothermal technology, and it is gaining popularity worldwide because of its sustainability, efficiency and cost-effectiveness. While its potential has been extensively proven in traditional homogenous, productive sandy groundwater layers, investing in more complex subsurface settings has greater financial risk. This is related to uncertainty about the (hydraulic) project feasibility and (thermal) efficiency of the system. Basically, we cannot directly look underground, so it is uncertain to what extent our subsurface model correctly represents reality. Even though this subsurface uncertainty leads to a great globally untapped potential for thermal energy storage, it is often neglected in feasibility studies. To move new ATES developments forward in complex subsurface settings, we present an uncertainty-driven sound scientific method to make investment decisions. Uncertainty in subsurface models is recognized by using a stochastic approach. The model predictions are then processed with clustering and global sensitivity analysis. This allowed to define criteria on critical subsurface properties that guarantee project (in)feasibility. For edge-cases, uncertainty is quantified to determine the probability of project feasibility from a risk-taking or risk-averse decision-maker perspective. Additionally, this approach quantified the potential of changing operational parameters (flow rate, well spacing, design injection temperature) to enhance project feasibility. All results are summarized in an easy-to-interpret decision tree that guides go/no-go decisions for new ATES projects. Importantly, the decision-tree can be followed prior to carrying out costly field tests. To illustrate, the uncertainty-driven decision tree approach is applied to a low-transmissivity aquifer for ATES, which represents a subsurface setting at the limit of ATES suitability. In conclusion, our approach effectively handles uncertainty while also focusing on improving clear communication to investors about the probability of project feasibility. As such, it could be an example study on how to handle model uncertainty for predictions of aquifer thermal energy storage systems in the future.

How to cite: Tas, L., Caers, J., and Hermans, T.: An Uncertainty-Driven Decision Tree Approach Guiding Feasibility Decisions of Shallow Geothermal Systems in Complex Subsurface Settings, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14276, https://doi.org/10.5194/egusphere-egu26-14276, 2026.

EGU26-15153 | ECS | Posters on site | EOS1.4

Communicating Flood Risk Uncertainty for Decision-Making in Aotearoa-New Zealand 

Clevon Ash, Matthew Wilson, Carolynne Hultquist, and Iain White

Flood risk uncertainty is a growing problem in New Zealand and the rest of the world. Decision-makers are facing increasing uncertainty in planning for future events. Growing population centres, increased cost of living and the resulting increased exposure to these natural hazards are just some of factors they need to consider in planning and mitigating future events. Climate change predictions represent a large part of the uncertainty present in these future flood risk assessments. Variables such as rainfall intensity and duration are likely to change significantly with increased temperatures which would result in potentially larger and more frequent flood events. To better understand how these different uncertainties could influence decision-making, a series of flood model and risk assessment output representations containing uncertainty were generated from a Monte Carlo framework. These representations were tested using an online survey and focus groups across regional councils, national response agencies and private companies that work with flood information. The results showed that traditional flood outputs such as depth and extent were still rated more useful than uncertain outputs such as confidence and exceedance probabilities. Larger AEPs (annual exceedance probabilities) such as 0.5% and 0.1% were seen as useful for long-term development planning but lower AEPs such as 1% and 5% were better suited for mitigation and emergency response plans. Across all the uncertainty outputs, respondents stressed the need for additional contextual information such as socio-economic overlays, area specific information such as land use and building types that would work in tandem with rebuild cost estimates and building damage data. From this feedback, a series of recommendations for presenting flood uncertainty information to decision-makers were created.

How to cite: Ash, C., Wilson, M., Hultquist, C., and White, I.: Communicating Flood Risk Uncertainty for Decision-Making in Aotearoa-New Zealand, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15153, https://doi.org/10.5194/egusphere-egu26-15153, 2026.

EGU26-17550 | ECS | Posters on site | EOS1.4

Communicating the Uncertain Nature of Science Through the Lens of Science Education 

Jakub Stepanovic, Sandy Claes, and Jan Sermeus

Uncertainty is a defining feature of the nature of science; besides driving curiosity in research, its acknowledgement and reporting are expected to ensure transparency and credibility. However, when science is communicated to a non-expert audience, uncertainty often gets oversimplified or omitted. This practice can lead to misconceptions about science (e.g., science leads to absolute knowledge) or erode confidence when uncertainties inevitably surface. In this session, we will explore how uncertainty is framed within the Nature of Science framework of science education, and which educational strategies might be of interest for science communication. Drawing on examples from communicating planetary science, we will discuss approaches that can make uncertainty relatable and constructive, helping audiences appreciate science as a dynamic, evidence-based process rather than a collection of fixed facts.

How to cite: Stepanovic, J., Claes, S., and Sermeus, J.: Communicating the Uncertain Nature of Science Through the Lens of Science Education, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17550, https://doi.org/10.5194/egusphere-egu26-17550, 2026.

EGU26-20429 | ECS | Posters on site | EOS1.4

Communicating uncertain future climate risk: Lessons learned from adaptation and disaster risk practitioners in Madagascar 

Ailish Craig, Rachel James, Alan Kennedy-Asser, Elisabeth Stephens, Katharine Vincent, Richard Jones, Andrea Taylor, Christopher Jack, Alice McClure, and Christopher Shaw

Climate information is increasingly being produced and shared as governments, businesses and individuals need to adapt to the changing climate. Yet, communicating uncertain climate change information to non-experts remains a challenge. The information that is currently made available to non-climate science specialists is too complex for them to understand and use. A key challenge in climate science is that estimating future change comes with uncertainties which are highly technical to non-climate specialists. Nevertheless, it is paramount that when climate information is shared and used, the limitations and uncertainties attached are well understood. This is particularly important amongst audiences that lack technical familiarity with climate science. Additionally, scientists and climate service providers do not have a common approach to represent the range of future change. Some scientists place an emphasis on probabilistic projections, meanwhile others focus on the full range of plausible futures.

There has been a limited effort to assess whether the audience understands what the producer of the climate information intended. Testing or evaluating different methods and visualisations of communicating future climate information, and its related uncertainties, can provide insight into what is most effective. Isolating what is (mis)understood can shed light on how to effectively communicate future climate information. This study investigates the interpretation of different presentations of future climate information using a survey and discussion with 45 participants working within weather and disaster agencies in Madagascar. Icon arrays, climate risk narratives, key statements and verbal probability language was tested to provide insight into how practitioners understand different ways of communicating future climate information. Both probabilistic and plausible framings of uncertainty are considered to explore how participants interpret each.

The percentage of participants that selected the correct answers across comprehension questions ranged from 24-82%. For the interpretation of verbal and numeric probabilities which was communicated as “virtually certain [99-100%]”, the correct numerical probability was selected by 24% of participants, highlighting the systematic misinterpretation of verbal and numerical probabilities. The climate risk narrative provided 3 plausible narratives, however, over a third of participants incorrectly believed there were 3 narratives to allow decision makers to select a narrative that is sector relevant. Some reasons for misinterpretation were provided by the participants such as confusing legends and icons, using their prior knowledge instead of the information document or experiencing cognitive dissonance. Meanwhile some expressed difficulty understanding due to lots of information while others requested additional insights, demonstrating the need for flexibility in design.

This study has highlighted new ways of communicating climate risk as well as ineffective current practises.  Recommendations suggest that climate scientists and climate communicators should; include an explicit explanation of why there are multiple climate risk narratives; reconsider the use of numeric and verbal probability expression given they are commonly misinterpreted and consider that an individuals’ prior knowledge influences their interpretation of new information. 

How to cite: Craig, A., James, R., Kennedy-Asser, A., Stephens, E., Vincent, K., Jones, R., Taylor, A., Jack, C., McClure, A., and Shaw, C.: Communicating uncertain future climate risk: Lessons learned from adaptation and disaster risk practitioners in Madagascar, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20429, https://doi.org/10.5194/egusphere-egu26-20429, 2026.

SSS2 – Soil Erosion and Conservation

EGU26-497 | ECS | Posters on site | SSS2.1

From Soil Responses to Adoption Barriers: Insights for Promoting Cover Crops in Mediterranean Orchard Systems 

Belén Cárceles, Iria Benavente-Ferraces, Pilar Ramírez, and Gema Guzmán

Cover crops in Mediterranean perennial cropping systems have been associated with several environmental benefits, such as a reduction in soil erosion, biodiversity, or an improvement in soil physicochemical properties. Thanks to these advantages, the new Common Agricultural Policy (CAP) has introduced subsidies through a specific eco-scheme aimed at promoting the establishment of ground cover in these systems. For this reason, in the last few years, the use of cover crops has increased in southern Spain, mainly by means of spontaneous vegetation. However, more than 55% of the cropped area is still managed as bare soil (ESYRCE, 2023), due in great part to strong edaphoclimatic constraints in this region, which in many cases impede the effective establishment and longtime persistence of cover crops.

Thus, this work aims at a dual objective: First, to examine soil physicochemical properties and groundcover dynamics at six commercial farms representing three major perennial crops, almond, olive, and grapevine, at Granada, Seville and Cordoba (southern Spain) respectively under contrasting soil management practices, thus highlighting the diversity within the different ways of managing soil and their measurable impacts on soil quality. Second, to investigate farmers' attitudes related to the adoption of cover crops across the region (Andalusia) at these semiarid agricultural systems with the purpose of determining the principal barriers that impede its general implantation. A structured questionnaire was carried out, covering four aspects: 1) farmers' sociodemographic characteristics, 2) key attributes of the farms, 3) farmers' main concerns related to soil management, and 4) factors affecting the adoption or non-adoption of cover crops.

The resulting insights are expected to help develop improved training strategies, extension services, and policy measures that promote sustainable soil management by incorporating practical locally grounded experiences. These outcomes can contribute to ensure greater adoption of cover crops not only in the region but also can be transferred to other Mediterranean areas where perennial crops are similarly widespread under comparable biophysical and socioeconomic conditions.

Acknowledgement
This work was supported by "Improving soil cover assessment strategies in Mediterranean agricultural areas” ECOMED project (PR.AVA23.INV202301.035)

Reference
ESYRCE (2023). Ministerio de Agricultura, Pesca y Alimentación. Available at: https://www.mapa.gob.es/es/estadistica/temas/estadisticas-agrarias/boletin20231_tcm30-690544.pdf.

 

How to cite: Cárceles, B., Benavente-Ferraces, I., Ramírez, P., and Guzmán, G.: From Soil Responses to Adoption Barriers: Insights for Promoting Cover Crops in Mediterranean Orchard Systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-497, https://doi.org/10.5194/egusphere-egu26-497, 2026.

EGU26-874 | Posters on site | SSS2.1

Tracking the source of eroded sediments causing siltation in the Ibirité Lake, Brazil, via proximal sensing and soil variability 

Sérgio Henrique Godinho Silva, Natalia Salazar Baquero, André Rodrigues, Bruno Brentan, Julian Cardoso Eleutério, Felipe E. Domiciano Ribeiro, Björn Krause Camilo, Daniele Kasper, José Fernandes Bezerra-Neto, Rodrigo Nóbrega, Diego Macedo, and Camila Amorim

Soil erosion is a global concern given its negative consequences to the quality of soils and water bodies. This issue can be mitigated through proper soil management and identification of the sources of sediment causing erosion and siltation. This work aimed i) to characterize soils of an urban/rural watershed in Minas Gerais, Brazil, and ii) to track the source of sediments reaching the lake present in this watershed. Samples of soils (86) and sediments (16) were collected throughout the watershed (91.6 km²) (0-2 cm of depth) and at the bottom of the Ibirité lake (2.8 km²), respectively. About 40% of the watershed is occupied by urban areas, with the remaining land uses/land cover being divided by native vegetation, pasture, and crops. Soils were classified in every sampling place after morphological description. Texture (clay, silt, and sand contents) of soils and sediments were determined by the pipette method along with their total elemental contents, through a portable X-ray fluorescence spectrometer (Tracer 5g, Bruker), and their magnetic properties, using a Bartington MS2B magnetometer. Then, groups of sediments were separated by cluster analysis based on their texture, chemical composition and magnetic properties. These clusters were validated by comparing the samples within each group with their morphological properties. Soil properties were spatialized to the entire watershed using the Multilevel B-splines method (SAGA GIS software) and sediment clusters were applied to these soil property maps, identifying the similarities between sediments and soils across the entire watershed. Finally, this map was combined with areas containing bare soil and topographic features that determine the hydrological connectivity of streams from those places to the Ibirité Lake, thus creating a map showing the areas more prone to be the source of sediments. Fe, Si, magnetic properties and texture were the most important properties to differentiate clusters of soils and sediments. Clusters using only texture were less satisfactory to separate those samples. Groups of soils with similar physical and chemical properties could be separated, indicating their parent materials. These physical and chemical properties are related to the mineralogy of these samples and, hence, could be used as fingerprinting of the soils being eroded. Topographic features and bare soil areas along with soil physical and chemical properties indicated the places more likely to produce sediments. Although there is a great impact of urban areas on the production of sediments, which can change over time, the application of these sediment clusters to the soil property maps for the entire watershed determined the most likely source of sediments causing siltation, confirming the potential of this proximal soil sensing approach to this end. Future works on such large and constantly changing areas should focus on time-series analysis and the search for other environmental variables to help track the source of sediments in such close-to-urban areas.

How to cite: Silva, S. H. G., Baquero, N. S., Rodrigues, A., Brentan, B., Eleutério, J. C., Ribeiro, F. E. D., Camilo, B. K., Kasper, D., Bezerra-Neto, J. F., Nóbrega, R., Macedo, D., and Amorim, C.: Tracking the source of eroded sediments causing siltation in the Ibirité Lake, Brazil, via proximal sensing and soil variability, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-874, https://doi.org/10.5194/egusphere-egu26-874, 2026.

EGU26-1408 | ECS | Posters on site | SSS2.1

Long-Term Trends in Rainfall Erosivity Derived from a Deep Learning Reconstruction Framework 

Hadi Shokati, Kay D. Seufferheld, Peter Fiener, and Thomas Scholten

Quantifying long-term soil erosion dynamics, for example, to better assess the effects of climate change on soil erosion, requires temporally continuous records of rainfall erosivity, a key input for explicit soil loss modeling. However, high-temporal-resolution precipitation data are rarely available historically at large scales. We present a data-driven framework to overcome this constraint and to reconstruct annual gridded rainfall erosivity (R-factor) for Germany from 1930 to 2000. First, high-temporal-resolution gridded precipitation from the RADOLAN product (2001–2025) was used to compute spatial maps of rainfall erosivity for the modern period based on standard intensity-based erosivity formulations. These modern R-factor maps served as target fields to train a convolutional neural network (CNN) that learns the relationship between erosivity and commonly available predictors, including monthly and annual precipitation statistics, temperature indices, and large-scale climatic indicators. The CNN model was trained and evaluated using spatial–temporal cross-validation and independent station holdouts to quantify predictive skill and uncertainty. After validation, the model was applied retrospectively to coarse-resolution historical climate records to generate annual 1-km gridded R-factor estimates for 1930–2000. The reconstructed time series reveal spatially coherent patterns and multi-decadal trends in rainfall erosivity that are not captured by coarse aggregated proxies, and they provide a physically informed dataset for retrospective soil erosion modeling and climate-impact assessments.

How to cite: Shokati, H., D. Seufferheld, K., Fiener, P., and Scholten, T.: Long-Term Trends in Rainfall Erosivity Derived from a Deep Learning Reconstruction Framework, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1408, https://doi.org/10.5194/egusphere-egu26-1408, 2026.

EGU26-1640 | ECS | Posters on site | SSS2.1

Evaluating the Spatial Performance of WaTEM/SEDEM Using Multi-Source Datasets Across Scales 

Kay D. Seufferheld, Thomas Chalaux-Clergue, Ayele D. Woldemariam, Hadi Shokati, Thomas Scholten, and Peter Fiener

Soil erosion by water poses a critical threat to global soil resources, with increasingly severe impacts under changing climate conditions. To implement specific soil conservation measures, it is essential to accurately identify areas of erosion and deposition within a landscape. However, soil erosion models are often calibrated solely against sediment yield at catchment outlets. This approach creates uncertainty regarding the model's ability to represent internal redistribution processes and amplifies the equifinality problem, as outlet data aggregates complex spatial dynamics into a single value. In our study, we evaluate the performance of the spatially distributed soil erosion and sediment delivery model WaTEM/SEDEM by utilising data at varying spatiotemporal resolutions. Our goal is to validate the model’s ability to simulate internal soil redistribution, rather than just total sediment yield at the outlet. We focused on a mesoscale catchment in Southern Germany (405 km²) and utilised high-resolution orthophotos (2011–2012), expert-validated erosion and deposition classification, as well as sediment delivery data. Our evaluation follows a three-step approach: (1) We compared model simulations against visually detected erosion classes at the field scale for single events; (2) We analysed depositional patterns in grasslands, located downslope of erosion-affected arable fields, against mapped deposition polygons for the same events; and (3) We followed the traditional approach, assessing model performance at the catchment scale by comparing simulated results with observed sediment loads at the outlet. This methodology enables a detailed assessment of how effectively WaTEM/SEDEM captures field-scale erosion as well as landscape-scale sediment connectivity and sediment routing. Our findings highlight specific sources of model uncertainty and demonstrate the importance of spatially distributed multi-step validation. These insights are crucial for improving sediment redistribution models and supporting sustainable land management practices in complex agricultural landscapes.

How to cite: Seufferheld, K. D., Chalaux-Clergue, T., Woldemariam, A. D., Shokati, H., Scholten, T., and Fiener, P.: Evaluating the Spatial Performance of WaTEM/SEDEM Using Multi-Source Datasets Across Scales, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1640, https://doi.org/10.5194/egusphere-egu26-1640, 2026.

EGU26-2031 | ECS | Posters on site | SSS2.1

Spatiotemporal Effects of Soil and Water Conservation Measures on Soil Organic Carbon Enhancement in China: A Meta-Analysis 

Jianxian Zhang, Yonge Zhang, Xiaoming Zhang, Yang Zhao, Shiyao Liu, Jindian Miao, and Xiao Han

Soil erosion exacerbates soil organic carbon (SOC) loss, whereas soil and water conservation measures (SWCMs) mitigate SOC loss and promote SOC accumulation. Despite current research on the influence of SWCMs on SOC in different areas, a national synthesis of these studies to comprehensively understand the mechanism of change in SOC is still lacking. Therefore, We conducted a meta-analysis of 1015 SOC observations to clarify the spatiotemporal effects of SWCMs on SOC. The results revealed that in most regions in China, straw mulching and terraceing greatly enhanced SOC by 10.74%–22.63% and 17.94%–27.0%, respectively, compared with the initial baseline levels. Afforestation also showed exceptional efficacy with SOC increased by 109.80% in Southern Red Soil Region, significantly larger than other areas (34.58%–76.47%). This exceptional increase is attributed to a low initial SOC baseline and rapid biomass accumulation following afforestation. All tillage measures (straw mulching, straw returning, no-tillage, and contour tillage) induced maximal SOC gains (6.82%–75.77%) within 5–10 years from the baseline. For afforestation and grass planting, longer durations of 21–30 and 11–20 years were required for the best promotion effect, with SOC increased by 82.94%–110.01% and 11.29%–77.71%, respectively, over the initial values. Similarly, engineering measures like terracing (14.11%–60.96%) and fish-scale pits had optimal enhancement effects (79.86% on the Loess Plateau) on SOC storage in years 11–30 relative to the initial conditions. Further boosted regression tree analysis revealed that soil total nitrogen was the primary driver of SOC increases across all measures. These findings are essential for the implementation of ecological restoration projects to mitigate CO2 in China.

How to cite: Zhang, J., Zhang, Y., Zhang, X., Zhao, Y., Liu, S., Miao, J., and Han, X.: Spatiotemporal Effects of Soil and Water Conservation Measures on Soil Organic Carbon Enhancement in China: A Meta-Analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2031, https://doi.org/10.5194/egusphere-egu26-2031, 2026.

Soil erosion represents one of the most critical environmental threats to the sustainability of agricultural systems, particularly in Mediterranean regions where strong seasonality and extreme precipitation events intensify soil degradation. Despite advances in erosion modelling, current conservation planning typically relies on retrospective annual analysis of historical data. This approach often fails to capture intra-annual variability or anticipate upcoming critical periods of erosivity, limiting the effectiveness of adaptive management strategies. This study presents an innovative methodological framework that integrates seasonal meteorological forecasts (1 to 7 months lead time) into the Revised Universal Soil Loss Equation (RUSLE) model. Utilizing the ECMWF SEAS5 seasonal forecasting system, we apply bias correction and statistical downscaling techniques to predict both precipitation and erosivity (R factor) at the catchment scale. The methodology is applied to an olive grove catchment in Córdoba (Southern Spain). By conducting "hindcasting" simulations, we evaluate how the use of seasonal forecasts could have informed the strategic implementation of cover crops. The objective is to maximize soil protection by synchronizing vegetative cover with predicted high-erosivity periods, while simultaneously minimizing water competition between the cover crop and the main crop during forecasted dry years. To bridge the gap between scientific modelling and practical land management, this project also develops a set of open-source, interactive tools based on Jupyter Notebooks. These accessible tools allow technicians and decision-makers to process seasonal predictions and simulate erosion scenarios without requiring advanced programming skills. By enabling a shift from reactive to proactive management, this approach aligns with the European Soil Strategy and offers a scalable solution for preserving soil health in a changing climate.

How to cite: Peñuela, A.: From Retrospective to Proactive: Integrating Seasonal Weather Forecasts with Erosion Modelling to Optimize Soil Conservation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4999, https://doi.org/10.5194/egusphere-egu26-4999, 2026.

EGU26-5113 | ECS | Posters on site | SSS2.1

Evolution of phenological and rainfall erosivity interactions for major Bavarian crops under climate change: Intra- and inter-annual C factor dynamics (1990-2020) 

Thomas Chalaux-Clergue, Kay Seufferheld, Ayele D. Woldermariam, Renee van Dongen-Köster, Thomas Hoffmann, and Peter Fiener

Though climate change induces gradual shifts in mean temperature and annual precipitation, its most erosion-relevant impacts arise from disruptions to intra-annual patterns, including more intense rainfall events, prolonged droughts, and altered seasonal distribution. These changes modify crops phenology (e.g., accelerating or delaying growth stages) and prompting farmers to adapt their practices (e.g., earlier harvests, altered planting windows). Together, these changes could increase the susceptibility of cropping systems to erosion by misaligning vegetative cover with periods of increased erosivity. This study investigates the long-term evolution (1990-2020) of the USLE/RUSLE Cover factor (C factor) for major Bavarian crops (incl. wheat, barley, and maize; southern Germany), integrating high-resolution phenological data with radar-derived rainfall erosivity to assess climate- and management-driven changes in crop erosion sensitivity. Preliminary results indicate that while annual C factors remain relatively stable, crop-specific phenological shifts and intra-annual precipitation volatility alter seasonal erosion sensitivity. These findings highlight the relevance of dynamic C factor approaches for erosion modelling - integrating real-time cover development and rainfall erosivity - to improve model reliability and better inform climate-adaptative farming and soil conservation strategies.

How to cite: Chalaux-Clergue, T., Seufferheld, K., Woldermariam, A. D., van Dongen-Köster, R., Hoffmann, T., and Fiener, P.: Evolution of phenological and rainfall erosivity interactions for major Bavarian crops under climate change: Intra- and inter-annual C factor dynamics (1990-2020), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5113, https://doi.org/10.5194/egusphere-egu26-5113, 2026.

The surface of the continental Earth is constantly reworked at different scales of time and space by weathering and erosion. Erosion, although perceived as destructive process, can produce spectacular landscapes giving rise to an outstanding geodiversity. Particularly in southern Mediterranean regions, soils have become highly dynamic owing to climate change and intense land use. Soil redistribution rates (erosion/accumulation) determine soil evolutional trajectories, weathering and organic carbon dynamics in such landscapes. The interaction among these factors, however, remains poorly understood. The area around Corleone (north-western Sicily, Italy), a potential new UNESCO geopark, consists of a worldwide peculiar geological condition, i.e. massive glauconitic calcarenites. We investigated soil erosion rates by using 239+240Pu as tracer, the weathering state of soils, soil organic carbon dynamics and its chemistry in this area. Although the soils showed clear signs of strong degradation and erosion with up to 39 t ha-1 yr-1, org. C stocks remained on a surprisingly high level with 7 to 25 kg C m-2. Erosion removed the strongly weathered part of the soil and left behind a younger and fresher soil matrix with a low org. C content, but an organic carbon fraction that was enriched in aliphatic chains and lignin-like compounds and having, therefore, a lower maturity. The investigated soils developed on a parent material that promoted the stabilisation and sequestration of organic matter so that even highly eroded and shallow soils still contained a considerable amount of org. C, which is rather unique for Mediterranean areas. Due to the presence of glauconite, smectite and oxyhydroxides in the parent material, the soils were able to retain a high amount of soil organic carbon. The determination of erosion rates on such soils was, however, challenging, and the major difficulties are discussed. Furthermore, when using 239+240Pu as a tracer for soil erosion, only point information is usually obtained and an extrapolation to a larger area is difficult or very time and resource consuming. A new, promising procedure will be presented, based on 239+240Pu, on how to overcome this problem in future and how to extrapolate to a whole catchment area.

How to cite: Egli, M.: Eroded but organic carbon rich: Soil dynamics on glauconitic landscapes of Mediterranean Sicily, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5479, https://doi.org/10.5194/egusphere-egu26-5479, 2026.

EGU26-10740 | ECS | Posters on site | SSS2.1

Assessing Trail Impacts on Mountain Soil Degradation in the Pyrenees: A Multi-Method Approach 

Celina Wagner, Juan Ignacio López-Moreno, Jesús Revuelto, Manel Llena, Pedro Sánchez-Navarrete, Jorge García Hernánez, and Estela Nadal-Romero

Mountain ecosystems face increasing pressure from outdoor recreation and tourism, with trail-based activities concentrated during snow-free periods when critical biological processes occur. Despite trails occupying minimal surface area, they can contribute disproportionately to catchment-scale degradation. This study investigates soil degradation processes along trails in the Spanish Pyrenees, examining how intensive summer use affects soil properties and contributes to land degradation in these sensitive environments. Using drone-based remote sensing and laser scanning, we quantify actual soil loss along trails, while ground-based measurements assess changes in soil quality parameters.

In this context, within the SOLPYR project, we established study sites at three high-use mountain locations (Ibón de Plan, Astún, and Izas) in the Central Pyrenees, characterized by intensive summer outdoor tourism and farmland activities. Our methodology combined drone-based remote sensing, laser scanning, and ground-based measurements to assess trail degradation before and after peak summer use. Soil samples were collected from both trails and adjacent undisturbed grassland to quantify differences in key parameters, including bulk density, moisture content, total carbon, total nitrogen, and soil organic carbon.

Preliminary results reveal significant soil degradation on trails compared to adjacent grasslands. Total carbon, total nitrogen, and soil organic carbon concentrations and stocks were substantially higher in grassland soils than on trail surfaces, while bulk density showed the opposite pattern with significantly elevated values on trails. These findings indicate that human and animal trampling causes soil compaction, reduces organic matter content, and potentially accelerates carbon loss from mountain soils.

This research highlights trade-offs between recreational land use and soil carbon storage in mountain ecosystems. Given the slow recovery capacity of these environments and their role as carbon reservoirs, our findings will inform management strategies for sustainable mountain tourism while supporting climate change mitigation and soil conservation goals in the Pyrenees.

This research project is supported by the SOLPYR project (INTERREG EFA045/01).

How to cite: Wagner, C., López-Moreno, J. I., Revuelto, J., Llena, M., Sánchez-Navarrete, P., García Hernánez, J., and Nadal-Romero, E.: Assessing Trail Impacts on Mountain Soil Degradation in the Pyrenees: A Multi-Method Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10740, https://doi.org/10.5194/egusphere-egu26-10740, 2026.

EGU26-10776 | Posters on site | SSS2.1

Conservation tillage as a dual-benefit strategy: substantial reductions in sediment and nutrient export with limited maize yield penalties 

Igor Bogunovic, Paulo Pereira, Marija Galic, Aleksandra Percin, Sebastiano Trevisani, and Ivica Kisic

Soil erosion and nutrient losses threaten soil health, water quality, and the long-term sustainability of agroecosystems. Degradation risks are highly pronounced in croplands on sloped soils with naturally poor characteristics, managed conventionally, where intense rainfall events lead to high erosion rates. Despite promotion of conservation practices, research linking event-scale runoff and sediment dynamics to specific tillage methods and crop yield outcomes remains scarce for many South-East European agricultural systems.

An experiment was established in 2024 to monitor hydrological and erosional responses in a maize cultivation on sloped Stagnosols in continental Croatia. Four tillage management were evaluated: conventional ploughing, subsoiling, chisel tillage, and no-tillage. Twelve experimental plots (100 m long, 8 m wide) were set up, containing overland flow collectors. During six rainfall–runoff events, from May to October, runoff, sediment concentration, soil loss, and losses of carbon, nitrogen, and phosphorus were determined. Soil bulk density and penetration resistance were assessed at 0–10 and 10–30 cm depth during spring and autumn, while maize grain yield was recorded to assess the impact of soil conservation strategies on productivity.

Ploughing resulted in significantly greater degradation compared to all other tillage management systems. Relative to ploughing, soil loss decreased by 83% with subsoiling and 77% with chisel tillage, while no-tillage achieved a 94% reduction. Phosphorus and nitrogen losses exhibited similar trends, with reductions of 83% and 82% under subsoiling, 78% and 76% under chisel tillage, and 90% and 88% under no-tillage, respectively. Carbon loss was also substantially reduced, ranging from 76% (chisel tillage) to 89% (no-tillage). Runoff was reduced by 27–43%, suggesting that conservation tillage primarily limited soil detachment and transport rather than completely preventing runoff. Erosion patterns were highly variable, with two rainstorms accounting for approximately 67% of total soil loss under conventional ploughing.

Soil physical properties were consistent with observed hydrological patterns. At the 0–10 cm depth, bulk density was lowest under chisel tillage and subsoiling (approximately 1.37 g cm⁻³) compared to ploughing (1.42 g cm⁻³). Penetration resistance was highest under no-tillage (1.41 MPa) and lowest under subsoiling (0.57 MPa). At the 10–30 cm depth, no-tillage exhibited the highest bulk density (1.48 g cm⁻³) and penetration resistance (2.10 MPa), indicating greater mechanical impedance that may contribute to the observed yield trade-off. Chisel tillage and subsoiling maintained yields relative to ploughing (+2.0% and −0.7%, respectively), whereas no-tillage reduced yield by 17.6%, indicating that a no-tillage system very likely may require additional residue, nutrient, and weed management strategies.

The present study shows that conservation tillage involving loosening (chisel and subsoiling) can provide immediate reductions in sediment and nutrient losses with no significant yield loss in maize cultivation systems.

Keywords: Soil erosion, conservation tillage, sustainable agriculture, sediment transport, environmental impact, FORMclimaSOIL

Acknowledgement: This work was supported by the Croatian Science Foundation through the project “Forming climate smart soils: Mitigation of soil erosion and degradation processes in Croatian agricultural systems” (IP-2022-10-5692) (FORMclimaSOIL).

How to cite: Bogunovic, I., Pereira, P., Galic, M., Percin, A., Trevisani, S., and Kisic, I.: Conservation tillage as a dual-benefit strategy: substantial reductions in sediment and nutrient export with limited maize yield penalties, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10776, https://doi.org/10.5194/egusphere-egu26-10776, 2026.

EGU26-11726 | Orals | SSS2.1

The Chinese Soil Loss Equation (CSLE): A Model Emphasizing Regional Soil Erosion Assessment 

Baoyuan Liu, Yun Xie, Keli Zhang, Suhua Fu, Wenbo Zhang, Shuiqing Yin, Xin Wei, Yan Zhang, Qiankun Guo, and Yingna Liu

The Chinese Soil Loss Equation (CSLE) is a USLE (Universal Soil Loss Equation) type model. Despite its regional or global applications, the empirical nature of the USLE presents persistent challenges in factor estimation and the representation of region-specific soil conservation measures. To address this, the CSLE substitutes the USLE’s C (cover-management) and P (support practice) factors with B (vegetation cover and biological measures), E (engineering measures), and T (tillage measures) factors, which correspond directly with land-use types, thereby enhancing its practical utility for soil conservation planning and land management. All erosion factors were rigorously calibrated and validated using extensive data from rainfall and experimental soil conservation stations distributed across China's diverse geographical regions. The CSLE has been applied for the National Soil Water Erosion Survey (2010–2012) and two subsequent five-year cycles of the National Soil Loss Dynamic Monitoring (2018–2027) in China. The BET three-parameter set proposed for soil and water conservation measures features the core advantages of easy remote sensing acquisition and large-scale adaptability, which can effectively improve the work efficiency of regional soil erosion surveys. After calibration and verification based on nationwide large-scale observation data, it not only significantly enhances the accuracy of soil erosion prediction, but also enables effective evaluation of the benefits of national soil and water conservation measures.

How to cite: Liu, B., Xie, Y., Zhang, K., Fu, S., Zhang, W., Yin, S., Wei, X., Zhang, Y., Guo, Q., and Liu, Y.: The Chinese Soil Loss Equation (CSLE): A Model Emphasizing Regional Soil Erosion Assessment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11726, https://doi.org/10.5194/egusphere-egu26-11726, 2026.

EGU26-12188 | ECS | Orals | SSS2.1

Event-scale runoff and sediment responses to soil and water conservation measures in semi-arid catchments 

Gebremeskel Berhe, Brhane Grum, Gert Jan Veldwisch, and Jantiene Baartman

Erratic rainfall conditions combined with the sloping terrains and anthropogenic factors causes severe soil erosion rates in the semi-arid highlands of Northern Ethiopia. High soil erosion rates are known to cause on-site and off-site socioeconomic and ecological disturbances. Reservoir sedimentation is one of the well-known negative off-site effects of soil erosion. Single rainfall events contribute disproportionally to the annual sediment yield in semi-arid catchments. Event based hydrological analysis helps to understand the suspended sediment and discharge contribution of single events. We applied physically based hydrological model, OpenLISEM in small, paired catchments in the Northern Ethiopian highlands. The objectives of the study were a) Identify model sensitive parameters in the paired catchments and b) Evaluate the effects of soil and water conservation measures on sediment yield reduction at an event scale. Initial soil moisture content was found to be the most sensitive parameter affecting both peak and total discharges. The suspended sediment yield at the outlets of both catchments was also sensitive to changes in Manning’s roughness coefficient. OpenLISEM performed satisfactorily (NSE > 0.5) for most of the calibrated events. The model fails to adequately capture peak discharge and discharge hydrograph in events characterized by multiple peaks and smaller precipitation amounts. OpenLISEM successfully simulated the total suspended sediment yield of an event. Suspended sediment yield was found to be influenced by a combination of hydrological and sedimentological model parameters. The combined implementation of stone bunds on hillslopes and check dams across channels resulted in a simulated sediment yield reduction of 36-74 % at the outlets of the paired catchments. The model simulation results provide valuable insight for the implementation of different soil and water conservation management practices to reduce catchment sediment yield and reservoir sedimentation, contributing to the long-term sustainability of reservoir-based irrigation schemes in the semi-arid highlands of northern Ethiopia.

How to cite: Berhe, G., Grum, B., Veldwisch, G. J., and Baartman, J.: Event-scale runoff and sediment responses to soil and water conservation measures in semi-arid catchments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12188, https://doi.org/10.5194/egusphere-egu26-12188, 2026.

Many soils are subjected to wind erosion and dust emission processes. This may result in a loss of essential system-resources and soil degradation. Agricultural activities change the intrinsic soil properties and the soil aggregation, and thus the soil erodibility to wind and water forces. The research focuses on the aeolian (by wind) loss of Particulate Matter (PM) that is less than 10 μm in diameter – the size fraction of clay, organic matter and nutrients in the soil. Various agriculture Loess soils in a semi-arid climate zone were analyzed for physical, chemical and biological properties. A boundary-layer wind tunnel has been used to study soil erosion and dust emission by simulation and quantification of high-resolution wind processes. Wind erosion experiments were conducted in agriculture fields of rain-fed conventional practices and organic practices alternating with grazing. Clay content, organic matter, and bacterial diversity were shown to be influenced by the practice type. The erosion experiments revealed changes in dust emission and PM fluxes in response to the topsoil properties and the wind velocity.  The dus process indicates loss of soil-PM and specific nutrients. Annual balance of soil-PM was calculated by analyzing the output by dust emission and the input by atmospheric dust deposition as the major source of PM. The results highlight a negative balance of PM in all the soils that are subjected to human-induced topsoil disturbance and decrease in soil aggregation. The results can reduce uncertainties in models of dust emission from agricultural fields, and may provide essential information for developing management strategies of soil conservation.  

How to cite: Katra, I.: Soil-PM loss by wind erosion from agricultural Loess fields in the east Mediterranean, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12990, https://doi.org/10.5194/egusphere-egu26-12990, 2026.

EGU26-14085 | Orals | SSS2.1

How might we use erosion models to meet future policy challenges? 

David Favis-Mortlock

Notable recent growth in the number of publications describing RUSLE/GIS-based soil erosion model studies indicates a previously-unmet policy-driven need for maps of water erosion rate covering nationally-sized (or larger) areas, at a field-scale (or smaller) resolution. Other current erosion modelling approaches have not been able to fulfil this need. What is necessary for future soil erosion models to do so?

Assume a hypothetical future farmer-focused policy-driven study, requiring a modelled estimate of erosion rate for ‘tiles’, each 10 m2, to cover 105 km2 (1/3 of Germany). Thus needing 1010 tiles.

RUSLE calculates long-term average soil loss. Running once for each tile would give the required spatial coverage, but no information regarding temporal change. Future anthropogenically-driven climate change, and future climate-change-driven land-use change, will have a major global impact on soil loss. The hypothetical study must consider these impacts. Additionally, the RUSLE model is empirical. Confidence in statistical relationships decreases when the relationship is extrapolated i.e. used with values outside the range of values employed to derive it. Future global change will produce surprises, needing RUSLE input values outside the values used to derive the model. A temporally dynamic, and not wholly empirical, erosion model will therefore be necessary for the hypothesised study.

Other anthropogenic choices are important. Especially in agricultural areas, there will be ‘pinch points’: locations where a minor change in some attribute has a major downslope impact. Where sediment and flow encounters a barrier (e.g. a hedge), the degree of barrier permeability will strongly influence subsequent flow. Further, the permeability of the barrier may depend on past events e.g. previous accumulation of of waterborne trash.

Our study will need to consider combinations of climate and land-use change scenarios: parsimoniously, assume 10 model runs per tile. It is less obvious how we would cope with ‘pinch point’ problems, but assume (again, parsimoniously) the need for 10 more scenarios. These two would bring the number of model runs up to 1012: an impressively large number.

For this daunting challenge, what might be the next steps?

So far, we assume data availability for every tile. Whilst not a problem for RUSLE, this would be a major headache for physically-based models. Thus there is a need to (a) develop erosion models of reduced complexity (but not wholly empirical), with correspondingly reduced data needs; and possibly (b) an approach to determining the ‘importance’ of each tile.

A potentially fruitful approach would adopt a systems-based approach, by explicitly considering the scaling relationships (often fractal, and with power-law frequency-magnitude) which result from multiple process feedback loops operating within the erosional system. If such a scaling relationship were derived between a plot-scale process-focused model (e.g. RillGrow) and another erosion model operating on a larger area with coarser resolution and reduced data requirement; then this relationship could be used to interpolate between scales.

Our study might then involve running multiple scenarios of the coarser-scale model for the whole area, using the scaling relationship to identify potentially problematic tiles, and running the plot-scale model only for these locations/situations.

 

How to cite: Favis-Mortlock, D.: How might we use erosion models to meet future policy challenges?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14085, https://doi.org/10.5194/egusphere-egu26-14085, 2026.

EGU26-14911 | Orals | SSS2.1

Fixing the holes in soil erosion modelling 

David Lobb and Sheng Li

Soil erosion remains the number one threat to soil resources around the world, adversely affecting our ability to produce food, protect air and water resources, and sustain the viability of communities and industries.  For several decades, models have been used to assess soil erosion and sedimentation, and the potential for soil conservation practices.  With advances in computing, modelling has become very sophisticated and widespread.

Although this technology is quite mature, there are major deficiencies in the development and application of existing erosion models: (i) Lack of integration of models for wind, water and tillage erosion, necessary to provide accurate estimates of soil losses.  (ii) Lack of accounting of historical soil losses.  (iii) Lack of coherence of model input scales within and across processes, creating substantial errors and uncertainties in model outputs and map products.  Consequently, these erosion models do not reflect the soils losses observed in fields by land managers, the losses that affect the production and profitability of crops.  These deficiencies are demonstrated based on experience in Canada.  The necessary path forward is clear, and is presented.

How to cite: Lobb, D. and Li, S.: Fixing the holes in soil erosion modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14911, https://doi.org/10.5194/egusphere-egu26-14911, 2026.

EGU26-17310 | ECS | Posters on site | SSS2.1

Soil compaction, management and farmer awareness in permanent mountain grasslands in Carinthia (Austria) 

Manjana Puff, Andreas Bohner, Max Eriksson, and Glenda Garcia-Santos

Soil compaction is a key land degradation process that affects soil structure, infiltration, runoff generation, and soil stability, thereby influencing erosion processes and soil conservation outcomes. While compaction has been extensively studied in arable systems, permanent grasslands, particularly in mountain regions, remain comparatively understudied despite their relevance for erosion control and sustainable land management. This contribution addresses soil compaction in permanent grasslands in Carinthia (southern Austria) using a multi-dimensional approach that integrates soil physical indicators with land manager perspectives.

Field investigations were conducted between 2022 and 2024 across intensively and extensively managed meadows and pastures, including a reference site. A set of soil physical indicators was applied to capture compaction-related changes in soil structure and hydrological functioning relevant to erosion and land degradation processes. In parallel, a structured survey with local farmers was carried out to examine awareness of soil compaction, perceived drivers, and management responses.

The study adopts an interdisciplinary perspective to explore how physical soil degradation processes and human decision-making interact in permanent grassland systems. By combining field-based assessments with stakeholder knowledge, this contribution aims to support improved monitoring approaches and inform conservation-oriented management strategies in the future. The work is positioned within current European soil protection and land degradation frameworks and contributes to ongoing discussions on how process understanding can be translated into practical guidance for farmers, land managers, and policy makers.

How to cite: Puff, M., Bohner, A., Eriksson, M., and Garcia-Santos, G.: Soil compaction, management and farmer awareness in permanent mountain grasslands in Carinthia (Austria), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17310, https://doi.org/10.5194/egusphere-egu26-17310, 2026.

EGU26-17432 | Posters on site | SSS2.1

Knowing soils in order to protect them: the SOLPYR project as an example of soil research, impact assessment, and public awareness of their importance in sensitive mountain areas. 

Melani Cortijos-López, Estela Nadal-Romero, Celina Wagner, Juan Ignacio López-Moreno, Jesús Revuelto-Benedí, and José María García-Ruiz

Soil is an essential natural system, forming the foundation and refuge of terrestrial life, regulating key biogeochemical cycles, and acting as a reservoir for water and gases. Despite its fundamental importance, soil (a non-renewable resource on human timescales) remains largely overlooked, with significant gaps in its study, identification, and proper characterization across many European territories. 
Mountain areas provide essential ecosystem services to surrounding societies, functioning as water towers, system regulators, and biodiversity refuges. However, these sensitive environments face increasing threats from anthropogenic pressures (tourism, land-use change, urbanization) and Climate Change (droughts, reduced snow cover, and extreme rainfall events).
The SOLPYR project aims to improve knowledge of Pyrenean soils, using this mountain range as a representative study area for understanding pressures and challenges affecting mountain environments. The ultimate goal is to design, analyse, and implement soil protection measures that ensure soil resilience and the sustained provision of soil-based resources, as a strategy for adaptation to Global Change. 
The project is structured around four main actions: (i) the creation of a comprehensive soil catalogue and soil maps of the Pyrenees at 1:400,000 scale through the compilation and harmonization of existing data, complemented by field identification and characterization, and delineation using GIS, based on standardized and replicable methodologies; (ii) the study, assessment, and quantification of soil degradation in mountain environments (pilot areas and mountain trails), along with the establishment of best practices for soil use and restoration; (iii) raising awareness and promoting public understanding of the natural value of soils, the processes driving their degradation, and the need for their conservation through sensitization campaigns, soil-themed itineraries, and specialized training courses; and (iv) fostering cooperation among stakeholders and institutions with a shared interest in the conservation, preservation, and sustainable use and management of Pyrenean soils through a robust governance framework
A key outcome of the project will be the development of a Cross-border Action Plan for Pyrenean soils, establishing priorities and strategic guidelines for soil protection in alignment with the European Union’s 2030 soil protection strategy. Although still in its early stages of implementation, the SOLPYR project represents a strong example of transboundary and interdisciplinary collaboration for soil protection. Beyond contributing substantially to scientific knowledge, its outcomes provide a robust foundation for the study, assessment, and management of sensitive mountain environments worldwide. By establishing networks that connect scientific communities, land managers, and territorial stakeholders, the project offers a valuable framework for adaptation to Global Change.
Acknowledgements: This research project was supported by the SOLPYR (POCTEFA 2021-2027 (EFA045/01)) project funded by Interreg Poctefa and European Union.

How to cite: Cortijos-López, M., Nadal-Romero, E., Wagner, C., López-Moreno, J. I., Revuelto-Benedí, J., and García-Ruiz, J. M.: Knowing soils in order to protect them: the SOLPYR project as an example of soil research, impact assessment, and public awareness of their importance in sensitive mountain areas., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17432, https://doi.org/10.5194/egusphere-egu26-17432, 2026.

EGU26-18117 | Posters on site | SSS2.1

Splashability – missing element 

Agata Sochan, Rafał Mazur, Michał Beczek, Rafał Pelczar, Magdalena Ryżak, Cezary Polakowski, and Andrzej Bieganowski

Water erosion is considered one of the most critical forms of land degradation, which was estimated to cover 24% of European land and 32% of agricultural land. Widespread land deforestation practices, overgrazing by livestock, inappropriate cultivation and agricultural practices, and climate change (including torrential rains) are the main factors influencing the acceleration of erosion processes, for which the affected land is projected to increase by further 25% EU-wide by 2050.

Researchers emphasise the need to establish an EU erosion monitoring network, which can contribute to more accurate large-scale empirical modelling and improve the implementation of appropriate soil protection policies. The literature also highlights the need for improve process-based modelling at the field scale to obtain more precise recommendations for land management and erosion mitigation strategies.

The predictive value of existing models (despite the efforts of many researchers) is still limited, especially at the continental scale, as systematic knowledge of local soil (and climate) parameters is often not available. On the other hand, scaling in time and space is currently a key challenge for physical models. These models also suffer from the disadvantage of complexity and significant input data requirements.

The aim of our proposed research is to determine a parameter (or group of parameters) from of which the exact susceptibility of soil to splash erosion will be determined for 100 Central Europe soils. The splash phenomenon is the first stage of soil water erosion, and while its subsequent forms (e.g. surface, rill or gully erosion) can only occur under specific conditions (e.g. high rainfall intensity or suitable terrain), splash erosion always occurs. This is because it is responsible for the moment of interaction between the raindrop and the soil surface, and depending on the intensity of rainfall, this phenomenon can initiate further forms of water erosion at different scales. Therefore, obtaining detailed information on the nature of the splash phenomenon is crucial to understanding and fully describing water erosion. Recognising the mechanisms of this process at all stages can contribute to the development of effective methods to reduce the degradation of the most fertile top layer of the soil profile. Based on our experience in describing the splash erosion, we firmly believe that determination of the susceptibility of soils to the splash phenomenon (determination of the splashability factor) will contribute to the development of physical models by providing data for calibration and validation, and consequently, also reducing the uncertainty of these models.

The study was partially funded by the National Science Centre, Poland, in the frame of project no. 2024/55/B/ST10/01326.

How to cite: Sochan, A., Mazur, R., Beczek, M., Pelczar, R., Ryżak, M., Polakowski, C., and Bieganowski, A.: Splashability – missing element, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18117, https://doi.org/10.5194/egusphere-egu26-18117, 2026.

EGU26-19060 | ECS | Posters on site | SSS2.1

Risk of what, to whom, and when? Soil loss maps are no risk assessments 

Pedro Batista and Peter Fiener

Soil erosion “risk” maps are almost exclusively produced by estimating long-term average soil loss rates with USLE-based models, after which at-risk areas are ranked according to poorly justified thresholds. This approach fails to engage with well-established concepts from more mature fields in risk science.

Soil erosion is a natural process and only becomes a hazard once vulnerable systems are exposed to individual or successive erosion events. Hence, meaningful erosion risk assessments require (i) a clear definition of the exposed elements considered to be at risk (e.g. soil itself, farmers, downstream infrastructure and water bodies); (ii) their biophysical and/or socio-economic vulnerability to erosion; (iii) the consequences that erosion may generate (e.g. crop yield losses, increased vulnerability to droughts and floods, off-site pollution); and (iv) the time frame over which these consequences occur. Crucially, meaningful erosion risk assessments must describe erosion in probabilistic terms rather than as deterministic averages.

In this contribution, we outline several steps towards more progressive erosion risk assessments. First, we demonstrate how the probability of occurrence of severe water-erosion events on individual arable fields can be estimated using a simple machine-learning approach and dynamic input factors. This enables the identification of short-term risks of crop or off-site damage and can lead to the development of early warning systems. Second, to address medium- to long-term risks associated with erosion-induced soil change, we propose a dynamic, process-oriented multi-model framework that represents how erosion alters soils and their functioning over time. This framework accommodates different erosion processes and their interactions within a multi-hazard perspective. Our contribution will be presented in an interactive poster format, inviting the soil erosion research community to co-develop a more useful and consequence-oriented erosion risk assessment framework.

How to cite: Batista, P. and Fiener, P.: Risk of what, to whom, and when? Soil loss maps are no risk assessments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19060, https://doi.org/10.5194/egusphere-egu26-19060, 2026.

EGU26-19706 | ECS | Posters on site | SSS2.1

Assessing Current and Future Soil Erosion Risks in the Lakhdar Watershed (Morocco) Using RUSLE and CMIP6 Climate Projections 

Fatima Zahra Sbabou, Abdelaziz Lahmili, Fatiha Ait El Haj, Victor Ongoma, Oualid Hakam, and Ilham M'hamdi Alaoui

Soil erosion represents a major threat to agricultural sustainability, soil fertility, and hydrological functioning in mountainous regions. These challenges are particularly pronounced in the Central High Atlas of Morocco, where complex topography, marked climatic variability, and intensive human activities accelerate degradation processes. This study evaluates current and future soil erosion dynamics in the Lakhdar watershed, located in the Oum Er-Rbia basin using the Revised Universal Soil Loss Equation (RUSLE) coupled with high-resolution climate projections from CMIP6 models. Spatially distributed data on rainfall erosivity, soil erodibility, topography, land cover, and conservation practices are integrated to quantify present erosion rates and identify areas most susceptible to degradation. Future scenarios assess the influence of projected changes in precipitation regimes on erosion dynamics over the coming decades. By identifying current erosion hotspots and anticipating future risks, this study informs targeted soil conservation interventions, supports sustainable land management strategies, and contributes to preserving soil functions, water resources, and ecosystem services. The findings emphasize the need to coordinate policy and community actions, integrating both socio-economic dimensions and local knowledge, to strengthen and support climate adaptation in vulnerable mountainous areas.

Keywords: CMIP6 models, Morocco, RUSLE, Soil erosion risk, Sustainable land management.

How to cite: Sbabou, F. Z., Lahmili, A., Ait El Haj, F., Ongoma, V., Hakam, O., and M'hamdi Alaoui, I.: Assessing Current and Future Soil Erosion Risks in the Lakhdar Watershed (Morocco) Using RUSLE and CMIP6 Climate Projections, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19706, https://doi.org/10.5194/egusphere-egu26-19706, 2026.

EGU26-20170 | Orals | SSS2.1

Soil erosion modelling, should we get back to work? 

Olivier Cerdan, Gaillot Arthur, Thomas Grangeon, Valentin Landemaine, and Rosalie Vandromme

Current anthropogenic pressures on lands, soil, and water resources lead to the degradation of natural environments, directly affecting human health. One of the most important causes of water and soil resource depletion is soil erosion. Soil erosion directly impacts soil’s ability to provide valuable ecosystems services, but it also contributes to downstream sediment transport with associated water bodies degradation (e.g. excess turbidity, riverbed and coastal water clogging) and associated pollutants transfers in the environment. However, these phenomena are complex and result from the interaction and feedback between choices driven by economic and social forces. There is therefore a strong demand for management tools that can help design and implement remediation strategies at the catchment and landscape scale.

The development of soil erosion modelling methodologies able to reproduce the temporal and spatial dynamics of soil erosion and sediment transfer across catchments in the land-to-sea continuum is thus an essential step towards soil and water resources conservation. However, most modelling studies are based on relatively dated concepts, a majority of which even referring to very simple empirical equations elaborated decades ago. This huge gap between the extent of environmental concerns and the lack of consistent model development is even more surprising given that significant advances have recently been achieved in observation and monitoring technologies, as well as in computational capacity.

In this context, the objective of this study is to describe the different elements that could be investigated to improve our modelling capabilities. We will address the different stages, from field and laboratory experiments; concept development and numerical implementation; to calibration and evaluation procedures. Finally, some recommendations for future research opportunities will be discussed.

How to cite: Cerdan, O., Arthur, G., Grangeon, T., Landemaine, V., and Vandromme, R.: Soil erosion modelling, should we get back to work?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20170, https://doi.org/10.5194/egusphere-egu26-20170, 2026.

EGU26-20344 | ECS | Orals | SSS2.1

Modelling the impact of regenerative agriculture on soil erosion and river water quality 

Lisa Donovan, Robert Simmons, and Robert Grabowski

Current UK policy encourages water companies and farmers to collaborate and uptake minimum tillage and cover crops to reduce soil erosion’s impact on the environment, field productivity, and raw drinking water quality. This provides an opportunity for soil erosion risk prediction models to be used as decision-support tools, such as the modified Morgan-Morgan-Finney model (mMMF) (Morgan & Duzant., 2008). It currently lacks parameters to predict the impact of cover crops and minimum tillage, an adapted temporal resolution to reflect the intra- and inter- annual variability of soil erosion risk, and field validation with water quality data. The aim of this study is to further improve the mMMF as a decision support tool for water companies and land managers to target management options to reduce runoff and control soil erosion on farm to improve water quality. To do so, cover crop and soil surface roughness parameters were obtained via field measurements and literature. Spatial and temporal trends in cover cropping windows were identified based on crop type from the Crop Map of England (CROME) dataset. The mMMF will be modified to a monthly time step, and the predicted results will be interpreted alongside turbidity and suspended solids data. The improved model could not only facilitate the implementation of cover crops and minimum tillage by farmers, but also help stakeholders better prioritize measures for soil and water conservation.

How to cite: Donovan, L., Simmons, R., and Grabowski, R.: Modelling the impact of regenerative agriculture on soil erosion and river water quality, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20344, https://doi.org/10.5194/egusphere-egu26-20344, 2026.

 During soil erosion, sediment load of rill flow changes dynamically and may affect its hydraulic characteristics. However, current research on hydraulics of sediment-laden rill flow primarily uses river sand/artificial homogeneous materials as sediment, which significantly differ from natural soil, leaving a research gap on how soil quantity impacts rill flow hydraulics. This study uses natural soil in an indoor rill flume simulation experiment to explore how sediment load influences hydraulic characteristics of rill flow, including flow velocity (V), DarcyWeisbach friction coefficient (f), Reynolds number (Re), Froude number (Fr), and flow depth (h). Experiments were conducted under combinations of six different sediment loads, five flow discharges, and five slopes. The results indicated that V, f, Re, Fr were significantly influenced by sediment concentration. V and Fr show an upward trend as the sediment load increases, while f, Re, and h demonstrate a downward trend. The sediment load predominantly influences V, f, and Fr, accounting for contributions of 0.33, 0.49, and 0.39, respectively. The influence of slope gradient on V and Fr intensifies as the sediment load increases, while the impact of flow
discharge on
V, f, and Fr diminishes. As flow discharge increases, the effect of sediment load diminishes on V and Fr, and that of slope gradient strengthens. Two kinds of prediction equations were developed for estimating thehydraulic parameters of sediment-laden rill flow. The models demonstrate high R2 values (0.74 to 0.98), suggesting strong performance of the prediction equations. These findings lay a foundation for the better development of a physical process-based rill erosion model. Given the differences in the properties of natural soils,which may impact hydraulic characteristics, it is a limitation of this study that it only focuses on a single soil type, and thus future research should explore the effect of sediment properties on hydraulic characteristics. 

How to cite: Shen, N.:  Variability of hydraulic characteristics of sediment-laden rill flow under various slopes, water flows and sediment loads , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3668, https://doi.org/10.5194/egusphere-egu26-3668, 2026.

EGU26-4230 | ECS | PICO | SSS2.3

Changes in River Solid Discharge in the Context of Climate Change: The Case of Georgia 

Tsotne Sulashvili, Vazha Trapaidze, Ilia Kalandadze, Giorgi Bregvadze, and Besik Kalandadze

The mountainous relief of Georgia, along with the complex geological and geomorphological conditions within river basins – especially in their upper reaches – promotes the development of erosion processes. Depending on their form of manifestation, erosion processes may in some cases be visually imperceptible. This is particularly true with surface, or sheet, erosion, which is often less noticeable.
Studies confirm that the climate change in the alpine part of the mountainous regions of Georgia is characterized by warming, leading to intensified weathering, intensive glacier melting, increased rainfall intensity, and enhanced snowmelt, which in turn increases the amount of solid material. This is further compounded by intensified soil erosion and the intense development of agriculture in the middle and lower reaches of the river valleys. It is evident that glacier retreat and the melting of permanent ice cover will increase the transportation of solid sediment material from slopes into river valleys.
At the same time, it is possible that the increased amount of solid sediment, due to river regulation, may not be transported downstream, and a significant portion may be temporarily deposited within the river system, in alluvial valleys and floodplains, also partially altering the longitudinal profiles of rivers.
The amount of solid sediment material in Georgia's rivers shows an increasing trend. Reliable assessment and forecasting of these processes in the future represent one of the most important tasks.

How to cite: Sulashvili, T., Trapaidze, V., Kalandadze, I., Bregvadze, G., and Kalandadze, B.: Changes in River Solid Discharge in the Context of Climate Change: The Case of Georgia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4230, https://doi.org/10.5194/egusphere-egu26-4230, 2026.

EGU26-4311 | PICO | SSS2.3

Bridging the Dimensional and Temporal Gaps in Large-Scale Gully Erosion Modeling: Challenges and Solutions 

Chunmei Wang, Baoyuan Liu, Richard Cruse, Matthias Vanmaercke, Yixian Chen, Lei Ma, Guowei Pang, and Qinke Yang

Significant progress has been made in gully erosion research since the early 2000s. However, quantifying the 3-dimensional evolution of gullies at regional and global scales remains a major challenge in soil erosion science.
The first challenge is the multidimensional gap. While global assessments have successfully mapped gully head distributions (0D) and the characterization of  linear gully densities (1D) has been achieved in specific countries and regions, accurate gully sediment budgeting requires a shift towards three-dimensional (3D) volumetric quantification of gully structure . The primary technical requirement is the large-scale inversion of gully depth, which can be addressed through the integration of modern geodetic techniques—including high-precision field surveys, Unmanned Aerial Vehicle (UAV) photogrammetry, and satellite stereoscopic mapping—with AI-driven predictive algorithms. Parallel to this is the temporal gap. Most regional datasets remain static. Resolving these spatial and temporal challenges is the prerequisite for transitioning from purely morphological descriptions to robust, process-based gully erosion models at large scales. The convergence of multi-source remote sensing now offers opportunities to reconstruct gully development (in 3-D) over recent decades. Coupled with the advancement of AI, which facilitates a transition from labor-intensive manual digitizing to automated, high-throughput workflows, it is now feasible to achieve rapid, dynamic, and intelligent extraction of gully information.
This report systematically examines these methodological challenges and evaluates potential solutions through the integration of multi-modal remote sensing, field measurements, and advanced analytical frameworks. To demonstrate these solutions, we present case studies from the Chinese Loess Plateau and the Northeast Black Soil Region based on small-watershed units, including 1,300 remote-sensing survey units and 65 high-precision units integrating field measurements with UAV surveys. These data provide the foundation for validating AI-driven depth inversion and automated extraction methodologies at a regional scale. Finally, we propose an international cooperation initiative to harmonize data collection and standardize validation protocols. Such a collaborative framework is essential to effectively integrate gully erosion into the next generation of global soil loss and Earth system models.

How to cite: Wang, C., Liu, B., Cruse, R., Vanmaercke, M., Chen, Y., Ma, L., Pang, G., and Yang, Q.: Bridging the Dimensional and Temporal Gaps in Large-Scale Gully Erosion Modeling: Challenges and Solutions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4311, https://doi.org/10.5194/egusphere-egu26-4311, 2026.

Vegetation plays a crucial role in the control of gully erosion due to its combined impact of root system and the above ground components. However, limited research has been done on the hydrodynamic effects of vegetation in relation to gully erosion. Vegetation, including stems and litter, are key surface roughness factors that greatly influence the flow of water, subsequently impacting sedimentation. In this study, a series of scouring experiments were conducted to investigate the effects of different shrub stem coverages (0%, 0.15%, 0.30%, 0.60%, and 1.20%) and litter coverages (0 g m-2, 100 g m-2, 200 g m-2, 300 g m-2, and 400 g m-2) on the spatiotemporal variations of flow velocity, shear stress, resistance f and sediment concentration under concentrated flow during the gully bed erosion processes in the dry-hot valley region of Jinsha River, Southwest China. The results showed that the number of branches in the vegetated plots increased significantly from upstream to downstream as stem coverage and litter coverage increased. Compared with bare gully bed, the flow velocity and shear stress of the four stem coverages decreased by 17% ~ 61% and 2% ~ 23%, respectively. These reductions were more significant as stem coverage and litter accumulation increased. The resistance f increased 0.14~5.8 times as stem cover and litter coverage increased, and the increase was more obvious along with the extending direction of gully bed. The sediment concentration decreased with increasing stem cover and litter coverage. The split flow effects under different shrub stem and litter coverages significantly affected the spatiotemporal variation of soil loss and hydraulic properties during gully bed erosion processes. Overall, increasing shrub planting in gully beds is essential to mitigate gully bed erosion, and the effects generally are enhanced with increasing stem litter and cover in gully beds.

How to cite: Xiong, D. and Liu, L.: Hydraulic properties and sediment yield as affected by different shrub stem and litter coverages during gully bed erosion processes , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4418, https://doi.org/10.5194/egusphere-egu26-4418, 2026.

EGU26-8002 | PICO | SSS2.3

Using a natural field experiment to characterize the temporal and spatial evolution of ephemeral gully erosion on a conventionally tilled plot, Southern Navarra, Spain 

Sean J. Bennett, Iñigo Barberena, Miguel A. Campo-Bescós, Karel van Wiltenburg, and Javier Casalí

Within the historically cultivated region of Navarra, Spain, ephemeral gully erosion dominates soil losses, threatening agricultural productivity and landscape degradation.  Effective management requires soil erosion prediction technology as directly informed by regionally collected field data.  In particular, soil erosion models must replicate the emergence and evolution of ephemeral gullies in time and space to accurately assess and implement conservation practices.  Here we report on the results of a field campaign located in Pitillas, Southern Navarra.  An agricultural field composed of a highly erodible silty loam was tilled in November 2023, but it was kept out of production for the 2023-24 growing season.  The evolving landscape was captured by drone flights after every major precipitation event, producing DEMs at centimeter-scale resolution.  Ephemeral gullies appeared four months after initial tilling, which over time created incised drainage network systems.  Centimeter-to-decimeter scale rills occupy the furrows that are concordant to the tilled topography, whereas decimeter-scale ephemeral gullies occupy the major swales that are discordant to the tilled topography.  One such rill and ephemeral gully system at the conclusion of the season is interrogated to define the morphometric characteristics of the eroded channels and to calculate total soil losses.  This third-order ephemeral gully system exhibits a trellis drainage pattern occupying an area of 0.266 ha.  Channel dimensions and longitudinal profiles are characterized along nine continuous channel reaches.  The results show that scaling relationships for channel width and depth conform well to upstream drainage area using a hydraulic geometry framework.  Exponent values derived for the longitudinal variation in width, average depth, and maximum depth as a function drainage area are 0.21±0.06, 0.31±0.11, and 0.34±0.11, respectively.  That is, these channels incise more deeply than they widen in response to erosive runoff events consistent with previous observations within the region.  While variations in slope concavity indicate localized zones of flow acceleration and deceleration, a headward migrating wave of degradation, located mid-slope by season’s end, demarcates the transition from areas of net erosion to net deposition.  By comparing original and final surface topographies, total soil loss from this ephemeral gully system is estimated to be 3.23 kg/m2-yr, also consistent with previous work in this region.  Current efforts are now focused on (1) correlating specific rainfall events to channel development and evolution, and (2) validating models to ensure that these discrete erosional processes can be predicted accurately in time and space.  The field campaign has proven to be invaluable in the further development and refinement of soil erosion prediction technology required for effective resource management regionally.    

How to cite: Bennett, S. J., Barberena, I., Campo-Bescós, M. A., van Wiltenburg, K., and Casalí, J.: Using a natural field experiment to characterize the temporal and spatial evolution of ephemeral gully erosion on a conventionally tilled plot, Southern Navarra, Spain, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8002, https://doi.org/10.5194/egusphere-egu26-8002, 2026.

Abstract:

Gully erosion is a critical threat to global food security.  Under intensive cultivation and increasingly frequent extreme rainfall, many ephemeral gullies (EGs) are rapidly evolving into permanent gullies. However, compared to permanent gullies, the impacts of EGs remain poorly understood. In particular, the effects of EGs on upland crops' growth and yield have been widely underestimated.

As EGs are often masked by seasonal tillage, they commonly exhibit pronounced dynamic changes and delayed effects.  EGs’ development not only accelerates soil erosion but also significantly reshapes the spatial distribution of soil structure, moisture, and nutrients. These impacts extend from the gully channel into adjacent areas. Conventional assessments commonly attribute yield decline to soil loss, overlooking the constraints imposed by EG-induced soil compaction and root habitat degradation. Consequently, the real contribution of productivity loss induced by EGs remains obscured.

To address these knowledge gaps, this study focused on ephemeral gullies in croplands of the Black Soil Region of Northeast China.  Integrating field survey and UAV-based high-resolution imagery, we measured the morphological parameters of typical EGs and their actual damage to arable land.  Through experimental analysis, we evaluated the soil structure, moisture, nutrients, crop growth, and crop yield at 108 independent sampling points within EG-controlled catchments. Our results demonstrate that EG development significantly intensifies soil compaction, reduces soil water-holding capacity and nutrient availability, and ultimately suppresses crop growth and yield. Structural Equation Modeling (SEM) further reveals the influence pathways of "gully→topography→soil properties→crop response" in slope-gully systems.

This study clarifies the key processes through which gully erosion drives yield loss and emphasizes the necessity of EGs-controlled slope-gully systems as priority conservation and management units. Such an approach is crucial for improving land degradation assessment frameworks, mitigating permanent gully risks, and protecting regional food security.

Keywords: Ephemeral gully; Yield loss; Soil physicochemical properties; SEM; Slope-gully systems

How to cite: Qiao, X., Wang, C., Wang, W., and Ma, L.: The Overlooked Impact of Ephemeral Gullies on Arable Land Degradation: From Soil Physicochemical Transformation to Yield Loss, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9838, https://doi.org/10.5194/egusphere-egu26-9838, 2026.

EGU26-10192 | ECS | PICO | SSS2.3

Google Earth imagery as a tool for detecting pipe collapses 

Anita Bernatek-Jakiel

Subsurface erosion caused by soil piping is of the most overlooked soil erosion processes. It plays a significant role in landscape development (including gully development) and contributes substantially to land degradation. Moreover, soil pipes affect hydrological and sediment connectivity in landscapes and hence potentially aggravate off-site effects of water erosion. Since now, the global distribution of this process remains unknown, as existing publications present only case studies and lack regional or global overview. This presentation aims to demonstrate the potential of Google Earth imagery for detecting pipe collapses (PCs) worldwide. The methods include manual on-screen mapping of PCs in different morphoclimatic zones and under various land use types (e.g., arable lands, pastures). Preliminary results indicate that Google Earth can be successfully used for detecting PCs. Its main advantages are the ease and wide accessibility of the software. Additionally, Google Earth imagery allows analyses of temporal changes in PCs where images from different years are available. The principal limitations are associated with forested areas, where PCs are sometimes observed. This limitation can be overcome by analyzing LiDAR-derived digital elevation models. However, these data are not as readily or universally available as Google Earth imagery.

The study is supported by the National Science Centre, Poland within the project OPUS 29 (2025/57/B/ST10/01326).

How to cite: Bernatek-Jakiel, A.: Google Earth imagery as a tool for detecting pipe collapses, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10192, https://doi.org/10.5194/egusphere-egu26-10192, 2026.

Gully gravitational erosion is one of the primary erosion types on the Loess Plateau and an important pathway for sediment yield in watersheds. To address the challenges of the complex gravitational erosion process and the difficulty in observation and identification, this study analyzes the environmental conditions, locations, scales, and types of gravitational erosion on the Loess Plateau. Leveraging existing observation technologies and data processing capabilities, a multi-technology integrated observation method for gravitational erosion is developed through the functional synergy of various observation techniques. This method offers broader observation coverage, faster data processing, and higher precision in monitoring processes, providing a scientific basis for soil and water conservation efforts on the Loess Plateau.

How to cite: Zhang, P.: Characteristics and Observation Methods of Gully Gravity Erosion on the Loess Plateau, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11557, https://doi.org/10.5194/egusphere-egu26-11557, 2026.

Gully erosion is a significant soil erosion process with potentially severe on-site and off-site impacts. Characterizing and monitoring gullies is essential for accurately predicting their occurrence and effectively preventing their formation and extension. However, creating a gully inventory is both time-consuming and subject to operator bias. Given the low spatial density of gullies in most contexts and their sometimes ephemeral nature, the use of remote sensing appears unavoidable.

In Wallonia (Belgium), gullies mainly occur as ephemeral gullies on agricultural land. Their average width could be as small as 50 cm. High-resolution (25 cm) orthophotographs covering the entire territory are acquired on an annual basis and freely available. Although gullies mostly form on bare or poorly covered soil, depending on the dates of gully formation and image acquisition, gullies may be surrounded by bare or vegetated soil.  

As of today, no methodology has been developed for automatically detecting gullies with such small dimensions at regional scale. This study therefore aims at developing a methodology for automatically detecting ephemeral gullies in Wallonia by remote sensing.

Based on June 2019 orthophotos, 67 gullies across 32 agricultural plots with varying soil cover (including bare soil) were digitized. 16 plots (34 gullies) were used for calibration and 16 plots (33 gullies) for validation. Gully and non-gully pixels were defined inside and immediately outside each gully, respectively, while accounting for delineation uncertainty. An optimal NDVI threshold for each gully was defined as the value maximizing the F1-score of the confusion matrix.

Three pixel-based classification approaches were considered: (1) a fixed NDVI threshold, set to maximize the average F1-score across all gullies of the calibration dataset; (2) a plot-specific NDVI threshold derived from a regression equation linking the median NDVI of the agricultural plots to their optimal NDVI thresholds. This equation was established to optimize the average F1-score (0.82); and (3) a multi-variable Random Forest model.

The use of a fixed NDVI threshold (NDVI = 0.13) achieved an F1-score of 0.77 on the validation dataset. Proper gully detection was achieved only when the median NDVI value of the plot exceeded significantly the threshold value. In contrast, the variable thresholding method allowed to detect gullies even on plots with median NDVI values as low as -0.017 (validation F1-score = 0.82). However, below this value, it failed to detect gullies reliably.

The Random Forest model (3) was trained on the same database. Additional remote sensing as well as topography-related variables were included, such as brightness, the Maximum Difference Index (the maximum difference between the RGB and NIR bands for each pixel), and the distance to the nearest concentrated runoff flow path. Preliminary results are encouraging, and combining this approach with the relative thresholding method could facilitate scaling detection to agricultural plot level and improve post-processing of features with spectral characteristics similar to gullies (e.g., wheel tracks). This approach shows strong potential for large-scale monitoring of gully erosion.

How to cite: Weber, A. and Bielders, C.: Automatic Detection of Ephemeral Gullies Using Orthophotographs: Development and Comparison of Three Pixel-Based Methods in Wallonia (Belgium), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12886, https://doi.org/10.5194/egusphere-egu26-12886, 2026.

Whereas current erosion models are successful in quantitative estimates of soil erosion by water flow, modeling the coevolution of geomorphological features, particularly rill network properties and soil erosion on hillslopes, is still a major challenge. In this study, we propose a rill evolution modeling approach, and combine it with a rainfall-runoff and soil erosion model to simulate the feedback loop of hillslope geomorphic development and soil erosion processes. Rill evolution is mainly characterized by three rill network attributes, comprised of rill density, orientation angle, and rill width, all modeled with physical equations. The entire rainfall-runoff-erosion and rill evolution model is tested against a set of rill network evolution and soil erosion data from an experimental hillslope subjected to successive rainfall events. The simulated spatial and temporal variations of rill network characteristics and soil erosion agree well with the measured data. The results demonstrate that the three rill network characteristics continually alter the partitioning of interrill and rill flows and affect the interrill and rill flow erosivity and soil erosion, which in turn modify the rill geometry and rill network planform. Comparatively, existing approaches such as WEPP that ignore the rill evolution processes largely underestimate the hillslope soil erosion when using time independent model parameters. Moreover, a sensitivity analysis indicates that both the rill evolution and soil erosion processes are sensitive to the rill evolution parameters, rainfall intensity, and slope angle. These results can inform the development of general geomorphic evolution and soil erosion models on evolving rilled hillslopes.

How to cite: wu, S.: Modeling soil erosion with evolving rills on hillslopes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15441, https://doi.org/10.5194/egusphere-egu26-15441, 2026.

The Northeast Black Soil Region is a crucial commercial grain production base in China. However, long-term intensive mechanized farming combined with a lack of effective soil and water conservation measures has resulted in severe soil erosion driven by the combined effects of wind erosion, water erosion, and freeze-thaw processes, critically threatening both food security and ecological stability. Farmland shelterbelts are widely recognized as an effective measure to reduce wind speed through surface friction and turbulence generation, and thus play a key role in decreasing wind erosion and improving soil properties. Nevertheless, their layout and orientation have rarely considered potential impacts on water erosion processes, and the role of shelterbelt distribution in regulating rill/inter-rill erosion, and gully erosion remains poorly understood. In our study, the effects of shelterbelt arrangements on both wind and water erosion were systematically assessed in the typical black soil region of Northeast China using field sampling surveys and multi-temporal remote sensing interpretation, integrated with meteorological and topographic data. The results indicate that shelterbelts effectively control wind erosion, with particularly better effects in areas experiencing severe wind erosion. However, shelterbelt orientation on sloping croplands often constrains ridge direction, and when tillage shifts to up- and down-slope or cross-slope ridging, rill and gully erosion are significantly enhanced. In addition, snowmelt runoff is a major driver of water erosion in high-latitude regions. Shelterbelts influence snow redistribution patterns, thereby modifying snowmelt-driven runoff and soil erosion processes. Gullies affected by shelterbelt-induced snow redistribution exhibited area expansion rates approximately 1.6 times higher than those unaffected. These findings provide new insights into the coupled effects of shelterbelt configuration on wind and water erosion and offer a scientific basis for optimizing shelterbelt design and soil erosion control strategies in cold-region agricultural landscapes.

How to cite: Tang, J., Xie, Y., and Cheng, H.: Can farmland shelterbelts exacerbate soil erosion in the black soil region of Northeast China?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16915, https://doi.org/10.5194/egusphere-egu26-16915, 2026.

EGU26-17747 | ECS | PICO | SSS2.3

Confinement as a key factor in loess erosion and stability 

Tomáš Weiss, Jan Vojtíšek, David-Aaron Landa, and Jiří Bruthans

Loess covers approximately 10% of the Earth’s land surface. Despite its ability to maintain vertical cliffs, loess is highly susceptible to rapid internal erosion, leading to the formation of pipes, tunnels, and gullies. These in turn can lead to ground collapse or rapid transport of contaminants. Despite these impacts, the physical process of how these gullies form is not yet fully understood. Our contribution focuses on the effect of confinement, a critical factor for loess stability that has been so far understudied.

This study used a new experimental method where loess blocks were encased in concrete or epoxy to simulate deep-profile conditions. These laboratory simulations revealed a distinct dual behavior: unconfined loess disintegrates rapidly through air slaking upon contact with water, whereas confined loess—restricted from expanding by the surrounding soil mass—maintains its structural integrity and resists erosion even under high hydraulic pressure.

Field validation conducted at a quarry supported these findings. In situ tests demonstrated exceptional cohesion, withstanding hydrostatic pressures of up to 3 meters. The results show that loess collapse and pipe expansion are not continuous but occur only at the onset of flow through them. The results indicate that erosion in loess pipes and tunnels is driven by air-slaking when excess air pressure builds up in pores due to surface tension as water infiltrates previously air-filled pores, not by the seepage force of flowing water. This study shows that any credible experimental setup for cohesive soils must consider the effect of confinement to accurately reflect field conditions.

Part of the work has been published:
  • Vojtíšek, J., Bruthans, J., & Weiss, T. (2025). Confinement as a key but overlooked factor controlling erosion rate in loess pipes and tunnels. Geomorphology, 109874.
  • Vojtíšek, J., & Bruthans, J. (2024). Loess susceptibility to erosion: Interaction of cohesion sources, air slaking and confinement. Earth Surface Processes and Landforms, 49(6), 1821-1835.
This research was supported by the Johannes Amos Comenius Programme (P JAC), project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks.

How to cite: Weiss, T., Vojtíšek, J., Landa, D.-A., and Bruthans, J.: Confinement as a key factor in loess erosion and stability, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17747, https://doi.org/10.5194/egusphere-egu26-17747, 2026.

EGU26-17961 | PICO | SSS2.3

Pan-European monitoring of gully erosion: spatial patterns, land-use controls and implications for soil security 

Pasquale Borrelli, Panos Panagos, Remus Pravalie, and Christine Alewell

Gully erosion is one of the most severe yet least systematically monitored forms of soil erosion in Europe, causing disproportionate losses of fertile soil, landscape fragmentation and significant off-site impacts. Despite its importance for agricultural sustainability and long-term soil security, gully erosion has historically been poorly represented in continental-scale monitoring frameworks, limiting its integration into policy-relevant assessments.

Here we present a pan-European analysis of gully erosion based on the 2022 Land Use/Cover Area frame Survey (LUCAS), which combined in situ field observations and on-screen interpretation across 399,591 locations in the European Union. This effort resulted in GE-LUCAS v1.1, the first harmonized EU-wide inventory of gully erosion channels, identifying 3,116 locations affected by gully erosion, corresponding to approximately 0.8% of all surveyed points. The inventory reveals strong spatial contrasts across Europe, with a clear predominance of gully occurrence in Mediterranean regions and substantially lower frequencies in northern and Atlantic areas. Gully presence shows consistent associations with land use and land cover, soil texture classes and biogeographical regions, underscoring the combined influence of climate conditions, topography and land management practices on gully development (Borrelli et al., 2025a).

In the second part of the contribution, we use Mediterranean olive groves as an illustrative example to demonstrate how these continental-scale patterns translate into acute threats to soil security at the landscape level. Recent evidence highlights that the expansion of olive cultivation onto steeper, erosion-prone terrain, combined with intensive management practices and increasing climate pressure, has led to widespread gully erosion and extremely high soil loss rates in key producing regions such as southern Spain, Italy and Greece. In these systems, gully erosion undermines the long-term availability of soil as a productive resource, amplifies off-site environmental impacts and increases socio-economic vulnerability in rural areas (Borrelli et al., 2025b).

Overall, this contribution demonstrates the value of harmonized large-scale monitoring for identifying gully erosion hotspots and land-use systems at risk, providing new evidence to support soil security objectives and targeted mitigation strategies under current and emerging EU soil policies.

 

Acknowledgement

Authors acknowledge funding from the European Union Horizon Europe Project Soil O-LIVE (Grant No. 101091255) and from the European Union’s NextGenerationEU project ‘Complex Modelling of Multiple Land Degradation Processes in Europe’ (EUroLanD), grant agreement ID 760051/23.05.2023, code CF 216/29.11.2022, under the National Recovery and Resilience Plan of Romania – Pillar III, Component C9-2022-I8.

References

Borrelli, P., Matthews, F., Alewell, C., Kaffas, K., Poesen, J., Saggau, P., & Panagos, P. (2025a). A hybrid in situ and on-screen survey to monitor gully erosion across the European Union. Scientific Data12(1), 755.

Borrelli, P., Matthews, F., Saggau, P., Manzaneda, A. J., Panagos, P., Kaffas, K., & Alewell, C. (2025b). Unsustainably losing ground. Nature Sustainability, 8(9), 986-989.

How to cite: Borrelli, P., Panagos, P., Pravalie, R., and Alewell, C.: Pan-European monitoring of gully erosion: spatial patterns, land-use controls and implications for soil security, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17961, https://doi.org/10.5194/egusphere-egu26-17961, 2026.

ABSTRACT: Soil erosion is a severe form of land degradation that threatens food production, especially in Northeast China, where fertile Mollisols dominate the agricultural landscape. Most previous studies have quantified soil erosion by water, while wind erosion of severely water-eroded areas with exposed loose subsoil remains rarely explored. Here, we present a wind tunnel experiment (75 measurements) with different wind velocities and aggregate size classes (<53, 53-250, 250-850, and 850-2000 μm) to assess the wind erosion behavior of loose subsoil. Free-stream wind velocities of 10, 12, 14, and 16ms-1 resulted in shear velocities ranging from 0.15 to 0.75 ms-1. The variation of shear velocity depended on the interaction between free-stream wind velocity and the surface roughness as influenced by aggregate size (R² = 0.40). The maximum aggregate size was also a good predictor of threshold velocity (R² = 0.84). Moreover, mass flux at higher elevations increased with wind velocity for both the 53-250 and 250-850 μm groups, whereas near-bed behavior varied by aggregate size. The second-finest fraction (53-250 μm) always exhibited an obvious peak in mass flux with height. The peak height increased slightly from 3 to 5 cm with increasing wind velocity. The second-coarsest fraction (250-850 μm) developed a pronounced peak height only at the highest wind velocity (16 ms-1). These wind tunnel experiments on sieved loose subsurface soil materials indicate potential wind-driven transport. They also demonstrate that sever water erosion may additionally increase wind erosion and should be avoided to safeguard soil resources and food security.

How to cite: Wen, Y., Xu, Y., and Auerswald, K.: Effects of Wind Velocity and Aggregate Size on Wind Erosion Characteristics of Loose Subsoil From the Mollisols Region of China: A Wind Tunnel Assessment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20282, https://doi.org/10.5194/egusphere-egu26-20282, 2026.

Soil erosion driven by soil compaction and freeze-thaw cycles is a critical global environmental issue in intensively mechanized cold-region agroecosystems. Existing studies predominantly focus on the direct effects of freeze-thaw cycles on soil erosion, yet overlook the legacy effects of pre-freeze-thaw soil compaction, particularly whether a critical threshold exists for such legacy effects. A comparative study was conducted in the Mollisol region of Northeast China by using in situ field erosion experiments and soil property measurements under various compaction levels before and after the freeze-thaw period. Results showed that the pre-freeze-thaw soil compaction exacerbated post-freeze-thaw soil erosion. Before the freeze-thaw period, the influence of soil properties on runoff was greater than their direct effect on sediment mass, and the sediment mass variation was mainly driven by runoff scouring due to soil compaction. After the freeze-thaw period, the decreased soil erosion resistance (aggregate stability and soil strength) and the increased runoff caused by the legacy effects of compaction were the primary reasons for higher sediment mass in compacted soil compared to uncompacted soil. Based on these findings, we propose a conceptual framework to determine a critical bulk density range that maximizes the alleviating effect of freeze-thaw cycles on soil compaction to reduce runoff, thereby avoiding the exacerbation of post-thaw soil erosion. This study underscores how compaction legacy amplifies post-thaw erosion, offering mechanistic insights into optimizing tillage management and soil restoration in seasonally frozen agroecosystems.

How to cite: Zhang, B., Maerker, M., and Ma, R.: Legacy effect of soil compaction drives post-freeze-thaw rill erosion: Identifying the critical hydro-mechanical threshold in Mollisols, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21211, https://doi.org/10.5194/egusphere-egu26-21211, 2026.

EGU26-662 | ECS | Orals | SSS2.4

Modeling soil water erosion and sediment transport in Bouregreg watershed (Morocco) using machine learning and climate projections 

Houda Lamane, Latifa Mouhir, Abdelmjid Zouahri, and Rachid Moussadek

Soil erosion presents a critical environmental challenge, particularly in regions exposed to climatic variability and anthropogenic pressures. In Morocco, where complex physiographic and climatic conditions prevail, the assessment of soil erosion and sediment transport is hindered by persistent data scarcity, limiting model accuracy and the effectiveness of watershed management. This thesis focuses on the development and application of robust soil erosion and sediment modeling approaches, combining both statistical and process-based methods.

The study begins with a national-scale review of soil erosion assessments in Morocco. Results indicate that research is predominantly concentrated in the Rif and Atlas Mountains, with models based on the Revised Universal Soil Loss Equation (RUSLE) or its original version, the Universal Soil Loss Equation (USLE), representing over 51% of applications. However, many studies omit key parameters such as the support practice factor and have limited spatial coverage. Erosion rates were found to be strongly influenced by geomorphological, climatic, and land use factors, although methodological inconsistencies and data limitations contribute to significant variability.

To address these challenges, an advanced modeling framework was applied in the Bouregreg watershed, a semi-arid basin in northwestern Morocco, with a focus on modeling suspended sediment concentration (SSC) and sediment yield (SY) over the period 09/01/2016–08/31/2021.

The initial approach employed four machine learning (ML) algorithms, Extra Trees, Random Forest, CatBoost, and XGBoost, were integrated with Genetic Programming to enhance predictive accuracy and robustness. Model evaluation using Root Mean Square Error (RMSE), correlation coefficient (r), and Nash–Sutcliffe Efficiency (NSE) demonstrated strong performance (NSE: 0.53–0.86; RMSE: 1.20–2.55 g/L; r: 0.83–0.91) in predicting SSC. To improve interpretability, SHapley Additive exPlanations (SHAP) analysis was employed, revealing streamflow and seasonality as the most influential predictors.

Subsequently, the RUSLE and the Modified Universal Soil Loss Equation (MUSLE) models were used to estimate soil loss and sediment yield using high-resolution soil data from INRA (1:50,000) and global FAO data (1:1,000,000). RUSLEINRA yielded more accurate results (15.56 t/ha/yr) than RUSLEFAO (10.24 t/ha/yr), while MUSLEINRA estimated 11.40 t/ha/yr. Sediment yield was validated using observed data from the Sidi Mohamed Ben Abdellah (SMBA) Dam. Projections under the SSP126 and SSP585 climate scenarios for the period 09/01/2021–12/31/2040 predict increased soil erosion (31.54–37.04 t/ha/yr), highlighting the urgent need for proactive soil conservation strategies.

This thesis contributes a scalable and interpretable modeling framework that integrates machine learning and geospatial data for improved erosion prediction and watershed management under current and future climate conditions.

How to cite: Lamane, H., Mouhir, L., Zouahri, A., and Moussadek, R.: Modeling soil water erosion and sediment transport in Bouregreg watershed (Morocco) using machine learning and climate projections, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-662, https://doi.org/10.5194/egusphere-egu26-662, 2026.

Marginal lands are areas with low or declining agricultural potential due to persistent soil degradation, vegetation stress, or long-term disturbances in land use. Mapping such lands is especially important in the Northeastern Region (NER) of India, where steep slopes, intense monsoonal rainfall, and widespread shifting cultivation create highly dynamic and fragile landscapes. Recent nationwide assessments have also highlighted that many districts in this region exhibit very high susceptibility to soil erosion, making the identification of marginal lands essential for restoration planning and sustainable land-use management. In this study, we propose a machine-learning framework to classify marginal lands by jointly analyzing erosion severity classes, vegetation dynamics, and bare-soil exposure. Multi-year Sentinel-2 data are used to compute pixel-wise Poor Vegetation Frequency from NDVI (Normalized Difference Vegetation Index) and Bare Soil Frequency from BSI (Bare Soil Index), providing robust indicators of vegetation stress and soil exposure. These variables are combined with potential soil loss estimates, topographic attributes, and land-use information to form a comprehensive feature set. The model is trained and evaluated using observed degradation patterns from the Desertification and Land Degradation Atlas of India, enabling an independent assessment of classification performance. The resulting marginal land maps show strong spatial agreement with known erosion-prone and degraded zones across the selected study region, with bias mass balance values generally ranging between 0.6 and 0.8. This study demonstrates the value of integrating erosion severity and vegetation dynamics within a machine-learning environment, offering a scalable approach for exploring and mapping marginal lands in complex and data-constrained regions.

How to cite: Raj, R. and Biswal, B.: Integrating Erosion Severity and Vegetation Stress Indicators for Marginal Land Mapping in Northeastern India Using a Machine Learning Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1146, https://doi.org/10.5194/egusphere-egu26-1146, 2026.

EGU26-2414 | Orals | SSS2.4

Ephemeral Gullies as Engines of Land Degradation: A Cross-Climate, Multi-Indicator Breakdown of Soil Quality Decline 

Fatemeh Ganjalikhan Hakemi, William Bridges, and Christophe Darnault

Ephemeral-gully erosion is among the most dynamic yet least monitored drivers of land degradation in agricultural landscapes. Despite its global prevalence, its multidimensional impacts across contrasting climates and management systems remain poorly quantified. Here we present a cross-regional assessment of how ephemeral-gully processes reorganize soil physical, chemical, biological, and nutrient functioning across four agricultural systems spanning semi-arid Kansas (no-till and conventional tillage) and humid-subtropical Mississippi (amended no-till). High-resolution lateral (gully axis to shoulders) and longitudinal (outlet to headcut) sampling in the 0–10 cm layer, supported by depth-resolved observations to 35 cm, revealed robust and spatially coherent degradation patterns. Across all sites, erosional shoulders and mid-gully convergence zones consistently emerged as hotspots of structural breakdown, acidification, nutrient depletion, and biological suppression. In the semi-arid no-till system, degradation was primarily surface-confined and driven by selective removal of fine particles, aggregate destabilization, and desalinization. Conventional tillage amplified these contrasts, producing pronounced carbon and nutrient redistribution and intensified biological stress. In humid amended systems, surface amendments yielded only localized improvements; upslope acidification, organic-carbon loss, and base-cation leaching persisted, with the most humid site exhibiting degradation extending well into the subsoil. Depositional hollows showed partial resilience—higher carbon availability, moisture retention, and microbial activity—but these benefits were spatially limited and insufficient to offset broader hillslope decline. Overall, our results demonstrate that ephemeral gullies function as system-level engines of land degradation rather than transient geomorphic features. By integrating multi-indicator soil responses across climates, managements, and depths, this study provides process-based insights essential for soil monitoring, erosion modelling, and targeted conservation planning, directly informing land-degradation neutrality goals, the UN Decade on Ecosystem Restoration, and the EU Soil Monitoring Law.

How to cite: Ganjalikhan Hakemi, F., Bridges, W., and Darnault, C.: Ephemeral Gullies as Engines of Land Degradation: A Cross-Climate, Multi-Indicator Breakdown of Soil Quality Decline, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2414, https://doi.org/10.5194/egusphere-egu26-2414, 2026.

EGU26-3033 | Posters on site | SSS2.4

The Impact of Open-Pit Mining on Soil Erosion in the Mining Area of Ordos Plateau in China 

Huanyu Liu, Peijun Shi, and Yongfang Wang
 To quantify the impact of mining area development and construction on regional soil erosion, and to provide a scientific basis for future soil erosion prevention and ecological restoration in open-pit mining areas in the Shanxi-Shaanxi-Inner Mongolia region.Heidaigou and Harwusu coal mines, the largest open-pit mines on the Ordos Plateau, were taken as the research objects. High-resolution topography and vegetation status of the study area were obtained based on remote sensing images, statistical data and field surveys. The revised wind erosion equation (RWEQ) model and the revised universal soil loss equation(RUSLE) model were used to calculate the moduli of wind and water erosion in 1990,2000,2010 and 2020,respectively. The proportional changes in erosion modulus levels in the mining and natural control areas from 1990−2000,1990−2010 and 1990−2020 were calculated to analyze the impact of open-pit mining on the two soil erosion forces. The overall moduli of wind and water erosion in the study area showed a declining trend from 1990 to 2020. The proportion of areas with reduced moduli of wind and water erosion in the mining area was smaller than that in the control area, while the proportion of areas with increased or unchanged moduli was larger than that in the control area. This indicates that open-pit mining operations have accelerated the natural erosion rates of wind and water erosion to a certain extent. Soil and water conservation effors in the region have achieved periodic results. Wind and water erosion may have a certain mutual inhibitory effect,and soil and water conservation in mining areas still requires further consideration for the control of soil and water loss under combined erosion.

How to cite: Liu, H., Shi, P., and Wang, Y.: The Impact of Open-Pit Mining on Soil Erosion in the Mining Area of Ordos Plateau in China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3033, https://doi.org/10.5194/egusphere-egu26-3033, 2026.

Soil internal forces, including electrostatic, hydration, and Van der Waals forces, are underlying mechanisms responsible for aggregate breakdown and subsequent soil erosion. However, whether these forces consistently initiate raindrop-induced erosion remains unclear. This study aims to elucidate the influence of soil internal forces on raindrop-induced erosion by conducting aggregate stability and simulated rainfall experiments using two soils (Heilu soil and Aeolian sandy soil) from the Loess Plateau. Electrolyte solutions with different concentrations (from 10–5 to 1 mol L–1) were employed as soaking solutions and raindrop materials to quantitatively regulate soil internal forces. Our results indicate that an electrolyte concentration of 10–2 mol L–1 was the critical point for net pressure (NP), which varied greatly when the electrolyte concentration reduced from 1 to 10–2 mol L–1. In this case, the aggregate stability, splash erosion mass (SEM), and cumulative loss mass (CLM) of Heilu soil increased rapidly with decreasing electrolyte concentrations. A significant correlation was also observed between NP and mean weight diameter (MWD) (r = –0.909), SEM (r = 0.821), and CLM (r = 0.806), respectively (p<0.01). However, the MWD, SEM and CLM of Aeolian sandy soil remained unchanged with varying electrolyte concentrations, as it lacks an effective aggregate structure and rarely underwent the “breakdown” process during wetting. Therefore, except structureless soils, raindrop-induced erosion typically is initiated by soil internal forces and then driven by raindrop impact and overland flow. This study enhances our understanding of the driving mechanism of rainfall-induced erosion, providing a theoretical foundation for developing targeted soil erosion prevention strategies.

How to cite: li, J., hu, F., and xu, C.: Is raindrop-induced erosion controlled by the combined effects of soil internal and external forces?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4399, https://doi.org/10.5194/egusphere-egu26-4399, 2026.

EGU26-4531 | ECS | Posters on site | SSS2.4

Comparative analysis of remote sensing and machine learning approaches for mapping susceptibility to water erosion in the Moroccan High Atlas 

Oussama Nait-taleb, Said El Goumi, Mostafa Bimouhen, Insaf Ouchkir, Maryem Ismaili, Fatima Ezzahra El Kamouni, Sana Elomari, Samira Krimissa, Mustapha Namous, and Abdenbi Elaloui

Water erosion is one of the main processes of soil degradation in semi-arid mountain watersheds, due to its role in accelerated sediment export, loss of soil fertility, and disruption of water resources. In the upper Tassaoute watershed, located in Morocco's High Atlas Mountains, these dynamics result in increased suspended sediment flows and the development of gullies, revealing the increased vulnerability of slopes to climatic and anthropogenic stresses.

In this context, this study proposes a comparative analysis of two complementary approaches—remote sensing and machine learning—to assess and map spatial susceptibility to water erosion. The first approach is based on the use of Sentinel-2A optical images and statistical analysis of spectral indices describing soil condition and vegetation cover. Four vegetation indices and nine soil indices are calculated and then aggregated to construct a composite explanatory variable. Regression analyses are performed between this variable and the individual indices to estimate the correlation and determination coefficients (R²), allowing their relative contribution to erosion to be assessed. Principal Component Analysis (PCA) is then applied to reduce redundancy between indices and structure the multispectral information. The first component is mainly associated with soil signatures (moisture, roughness, minerality), while the second reflects more the condition and vigor of the vegetation. On this basis, a predictive model is developed by weighting the indices according to their explanatory power and factorial contribution, leading to the development of a map classifying soils into four levels of susceptibility to degradation.

The second approach uses machine learning techniques to map susceptibility to gully erosion. An inventory of 400 occurrences, comprising 200 gullied sites and 200 non-gullied sites, was compiled based on field observations and interpretation of satellite images. These occurrences are correlated with 21 predisposing factors grouped into topographical, geological, climatic, pedological, anthropogenic, and land use variables. Five models (GLM, GBM, ANN, Random Forest, and SVM) are evaluated according to different data partitioning scenarios, with hyperparameter optimization by cross-validation. Performance is assessed using AUC-ROC and classification indicators, before producing probabilistic maps reclassified into four levels of vulnerability.

The results show that remote sensing provides a consistent and easily updatable reading of surface conditions, while machine learning significantly improves predictive capacity by integrating non-linear relationships and multiple environmental factors. Their combination provides a robust decision-making framework for targeting priority areas, guiding anti-erosion actions, and supporting land-use planning in fragile mountain environments.

Keywords: Water erosion, remote sensing, machine learning, upstream Tassaoute watershed, Morocco.

How to cite: Nait-taleb, O., El Goumi, S., Bimouhen, M., Ouchkir, I., Ismaili, M., El Kamouni, F. E., Elomari, S., Krimissa, S., Namous, M., and Elaloui, A.: Comparative analysis of remote sensing and machine learning approaches for mapping susceptibility to water erosion in the Moroccan High Atlas, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4531, https://doi.org/10.5194/egusphere-egu26-4531, 2026.

EGU26-4861 | ECS | Posters on site | SSS2.4

Possibilities of using a high-speed camera to characterize falling drops 

Michał Beczek, Rafał Mazur, Martin Neumann, David Zumr, Tomas Dostal, and Andrzej Bieganowski

The accurate characteristics of raindrops play a crucial role in various fields, including meteorology, hydrology, agriculture, horticulture, weather forecasting and atmospheric physics. This can be important, especially in the context of soil splash erosion caused by the impact of raindrops and the consequent transport of soil microorganisms, such as pathogens. At present, the most common technique for measuring precipitation drops is the use of disdrometers, while high-speed imaging technique are becoming more popular. Therefore, the aim of the study was to present the possibilities of using high-speed cameras in order to characterize large falling drops and to compare this methodology with the use of selected disdrometers.

The study was based on the formation of single water drops with specified diameters (3.2, 4.3 and 5.3 mm) and different heights of drop release (1, 3 and 5 m). The analyses included a comparison of data obtained from a single high-speed camera, a set of synchronized high-speed cameras with 3D PTV module (i.e. particle tracking velocimetry) and two types of laser disdrometers (Thies Clima LPM and Parsivel2). Based on the evaluation of the suitability of selected methods for measuring the properties of large drops, it has been shown that high-speed cameras allowed a very accurate analysis of the parameters of individual drops (i.e. size, velocity and shape descriptors) in contrast to the tested disdrometers which showed substantial variability in the results. The calculated coefficient of variation for the measured parameters was up to 5.5% for the cameras, and up to 13.6% for the disdrometers. In this context, high-speed cameras offer an alternative method of measuring processes subject to significant errors, such as those related to the irregularity and variability of the drop shape, in disdrometer-based measurements like throughfall phenomenon. They also serve as a valuable tool for validating widely used instruments.

 

Acknowledgement: this work was financed from the National Science Centre, Poland project no. 2022/45/B/NZ9/00605 and the CTU in Prague project no. SGS23/155/OHK1/3T/11.

Reference: Beczek M., Neumann M., Mazur R., Zumr D., Dostal T., Bieganowski A.: Challenges in measuring the size and velocity of large raindrops: a comparison of selected methods Journal of Hydrology 662, Part B, 133932, 2025

How to cite: Beczek, M., Mazur, R., Neumann, M., Zumr, D., Dostal, T., and Bieganowski, A.: Possibilities of using a high-speed camera to characterize falling drops, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4861, https://doi.org/10.5194/egusphere-egu26-4861, 2026.

EGU26-4979 | Posters on site | SSS2.4

Rainfall erosivity in Europe: an update of the REDES database 

Nejc Bezak, Pasquale Borrelli, Luigi Cesarini, Hannes Müller-Thomy, Francis Matthews, Philipp Saggau, Leonidas Liakos, Jana Brettin, Charles Galdies, Sašo Petan, Donatas Valiukas, Christos-Panagiotis Giannaklis, Kostas Lagouvardos, Goncalo Gomes, Peter Salamon, Santiago Begueria, Mónika Lakatos, Melita Perčec Tadić, Hristo Chervenkov, Silas Michaelides, and Panos Panagos

Rainfall erosivity is a key driver of the soil erosion process, and it varies greatly across Europe due to differences in climate regimes, precipitation patterns, and storm intensities. The rainfall erosivity (R-factor) database in Europe needs to be updated. The rainfall erosivity database is required to develop robust input data for soil erosion models. This contribution presents an updated Rainfall Erosivity Database at European Scale (REDES 2.0), which is based on high-frequency, sub-hourly and hourly data from 9,138 stations across Europe. All the high-frequency data were converted to a 30-minute time step using data aggregation or disaggregation using a multiplicative cascade model. The 30-minute time step was then used to calculate R-factor following the Revised Universal Soil Loss Equation (RUSLE) methodology. Over 2.4 million erosive events were consequently identified, primarily covering the period from 2010 to 2025, with an average station data length of 15 years and approximately 265 erosive events per station. Spatial patterns of the annual R-factor show pronounced differences across Europe, with the highest values concentrated in the Mediterranean and Alpine regions. In contrast, northern, eastern and central Europe exhibit comparatively lower values. These spatial patterns and the country-averaged R-factor values resemble those of the previous REDES 1.0 database somewhat, though there are some differences in countries such as Greece and Italy. This can be attributed to the increased spatial density of stations in REDES 2.0 and to some extreme storms in recent years. REDES 1.0 and 2.0 are overlapping at 1062 locations around Europe and average annual R-factor values for these stations are 792 MJ*mm*ha-1*h-1*year-1 and 861 MJ*mm*ha-1*h-1*year-1 for REDES 1.0 and 2.0, respectively. The corresponding standard error of the annual R-factor in REDES 2.0 using all available data averaged at around 18%. Using only data from 2010 onwards did not significantly alter the annual R-factor or the corresponding standard error compared to using all available data in the calculation of the annual R-factor.  The relationship between the annual R-factor and station characteristics, such as location and elevation, was generally weak. This indicates the complex drivers of rainfall erosivity in Europe. REDES 2.0, an updated version of the original database (REDES 1.0), provides essential input for soil erosion modelling, land management planning and climate adaptation strategies. It can also be used to develop methods for dynamic estimation of continental rainfall erosivity.

 

Acknowledgment: The N. Bezak contribution was supported by the Slovenian Research and Innovation Agency (ARIS) through grant P2-0180. 

How to cite: Bezak, N., Borrelli, P., Cesarini, L., Müller-Thomy, H., Philipp Saggau, F. M., Liakos, L., Brettin, J., Galdies, C., Petan, S., Valiukas, D., Giannaklis, C.-P., Lagouvardos, K., Gomes, G., Salamon, P., Begueria, S., Lakatos, M., Perčec Tadić, M., Chervenkov, H., Michaelides, S., and Panagos, P.: Rainfall erosivity in Europe: an update of the REDES database, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4979, https://doi.org/10.5194/egusphere-egu26-4979, 2026.

[Objective] This study investigates the spatiotemporal variations of soil water erosion in the eastern region of the agro-pastoral ecotone in northern China, and firstly quantifies the interactive effects of multiple factors on water erosion dynamics, providing decision-making bases and methodological references for soil erosion control and ecological environment restoration in this region. [Methods] Based on the RUSLE model, an attribution analysis was conducted on the spatiotemporal differentiation characteristics of soil water erosion in the eastern region of the agro-pastoral ecotone in northern China from 2000 to 2023, and a quantitative analysis was performed on the main contributing factors to dynamic changes in soil water erosion. [Results] (1) The multi-year average soil water erosion modulus in the eastern region of the agro-pastoral ecotone is 777.94 t·km⁻²·a⁻¹, with most areas experiencing slight and mild erosion, accounting for 69.3% and 22.9% of the total eroded area, respectively. (2) From 2000 to 2023, the soil water erosion intensity in the study area showed a slight upward trend, with an increase rate of 0.90 t·km⁻²·a⁻¹. Soil erosion alleviated in the southeastern and northwestern regions, while intensified in the western region. (3) Areas prone to soil water erosion in the eastern region of the agro-pastoral ecotone are mainly distributed in Chifeng City in the central part, and Zhangjiakou City and Xilin Hot in the southwestern part of the study area. (4) The main contributing factor to dynamic changes in soil water erosion in the eastern region of the agro-pastoral ecotone from 2000 to 2023 is the vegetation cover management factor, with an average contribution rate of 64.18%. The combined influence of three factors(vegetation cover management factor, soil and water conservation practice factor, and rainfall erosivity factor) accounts for 23.12%, the soil and water conservation practice factor contributes 10.57% on average, and the rainfall erosivity factor contributes 2.13% on average. There are strong interactions between parameters of the RUSLE model, and the combined influence of multiple factors has a significant contribution to the dynamic changes of water erosion in the study area. [Conclusion] From 2000 to 2023, the soil water erosion situation in the eastern region of the agro-pastoral ecotone in northern China was generally stable. During the study period, with the improvement of vegetation coverage and the effective adoption of soil and water conservation measures, the aggravating effect of increased rainfall erosivity on water erosion intensity was alleviated to a certain extent. However, the soil water erosion situation in this region remains severe, and areas with low vegetation coverage and without soil and water conservation measures should be prioritized in soil erosion control efforts.

How to cite: Wu, J. and Shi, P.: Quantitative analysis of soil erosion spatiotemporal variation and contributing factors in the eastern region of the Agro pastoral Transition Zone in Northern China based on RUSLE, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5378, https://doi.org/10.5194/egusphere-egu26-5378, 2026.

EGU26-6166 | Posters on site | SSS2.4

Advancing Revised Universal Soil Loss Equation, Version 2 (RUSLE2) Development: Integrating Cutting-Edge Science and Cloud-Based Innovations for Transformative Soil Erosion Modeling and Land Management 

Christophe Darnault, Mahsa Ghorbani, Gizem Genc Kildirgici, Bigyan Ghimire, Carson Sisk, Kevin Cunningham, Jon Calhoun, Henrique Momm, Daniel Yoder, Dalmo Vieira, Ronald Bingner, Martin Locke, Robert Wells, and Giulio Ferruzzi

The Revised Universal Soil Loss Equation, Version 2 (RUSLE2), is the primary water erosion prediction tool used by the USDA Natural Resources Conservation Service (NRCS) for land management planning across the United States. Despite its widespread adoption, RUSLE2’s reliance on a personal computer-based model limits its capacity for large-scale, dynamic applications. This research addresses these constraints by developing a novel cloud-based platform to host and enhance RUSLE2, enabling server-based computation, geospatial data integration, and scalable modeling capabilities. Built on Amazon Web Services (AWS), the platform integrates web-based user interfaces, spatial databases, and geoprocessing tools to streamline soil erosion modeling. It incorporates historical data on soil properties, weather patterns, and land use practices to support precise assessments of rill and interrill erosion. A redesigned database architecture ensures computational efficiency, data security, and collaborative development. Scientific advancements in RUSLE2 include quantifying the effects of precipitation variability and land use on the spatiotemporal dynamics of key soil properties. Leveraging advanced field and laboratory methods, remote sensing, and machine learning, the platform improves the measurement and mapping of soil erodibility and soil loss across diverse U.S. agricultural landscapes. These enhancements enable more accurate forecasts of erosion risk under evolving environmental scenarios and support flexible land management strategies. This transformative, cloud-based platform delivers innovative tools to guide land use practices and improve long-term agricultural productivity. By integrating cutting-edge technologies and data-driven modeling, this work addresses longstanding challenges in erosion science and enhances regional and national resilience in soil resource management.

How to cite: Darnault, C., Ghorbani, M., Genc Kildirgici, G., Ghimire, B., Sisk, C., Cunningham, K., Calhoun, J., Momm, H., Yoder, D., Vieira, D., Bingner, R., Locke, M., Wells, R., and Ferruzzi, G.: Advancing Revised Universal Soil Loss Equation, Version 2 (RUSLE2) Development: Integrating Cutting-Edge Science and Cloud-Based Innovations for Transformative Soil Erosion Modeling and Land Management, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6166, https://doi.org/10.5194/egusphere-egu26-6166, 2026.

EGU26-6491 | ECS | Orals | SSS2.4

Macroscopic and multi-scale estimation of karst underground soil loss: toward a subsurface USLE 

Qihua Ke, Keli Zhang, Bofu Yu, and Deyu Zhong

Underground soil loss (USL), the net removal of eroded sediment from the land surface to underground space, is a difficult-to-measure and puzzling phenomenon that typically occurs in karst areas. Compared to surface soil loss (SSL), USL has been largely ignored in soil loss assessments utilizing Universal Soil Loss Equation (USLE)-type models due to the absence of credible prediction methods. Here, we propose a framework to estimate USL locally, regionally, and globally as a first step toward developing a subsurface USLE, namely, the Underground Soil Loss Equation, as a counterpart to the surface USLE. We find that USL is a relatively minor but indispensable component of soil loss in karst areas, and its contribution increases with spatial scale and large-scale pathways. Globally, USL accounts for 5% of total soil loss and 8% of erosion-induced carbon fluxes, corresponding to an annual financial loss of $21 billion. In karst areas, the annual average soil loss and its resulting carbon fluxes would be underestimated by approximately 25% when the USL is excluded. Using a USL-included framework, we identify soil loss threats among countries with karst landscapes. Low-income countries suffer high SSL rates and should be wary of aggravated USL with insufficient conservation measures. High-income countries tend to have higher USL rates and are more likely to underestimate soil loss if USL is ignored. Middle-income countries, which account for over 3/5 of karst area and 3/4 of USL amount, should be cautious of higher SSL and USL rates as well as significant risks of underestimating soil loss. Our findings emphasize the importance of incorporating USL into soil loss-relevant modeling and assessments to more accurately identify pertinent threats and offer more strategic approaches in monitoring and conservation.

How to cite: Ke, Q., Zhang, K., Yu, B., and Zhong, D.: Macroscopic and multi-scale estimation of karst underground soil loss: toward a subsurface USLE, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6491, https://doi.org/10.5194/egusphere-egu26-6491, 2026.

EGU26-10598 | Posters on site | SSS2.4

Rainfall erosivity in semi-arid Mediterranean areas: a multi-decadal spatio-temporal analysis of the R-factor (1951–2022) 

Matteo Ippolito, Paolo Nasta, Andreas Langousis, Nunzio Romano, Roberto Deidda, and Dario Pumo

Soil loss is a major environmental concern because it can compromise the provision of ecosystem services on both local and global scales. Therefore, developing effective mitigation measures and soil protection strategies is essential and should be grounded in a solid understanding of the main factors and processes that trigger and predispose erosion. Water related soil erosion is increasing in temperate as well as tropical and subtropical areas, especially in hilly and mountainous environments where cultivation and land-use changes reduce vegetation cover. Regions in southern Italy are characterized by a morphological configuration that increases the vulnerability to water erosion, making them relevant case studies representative of the Mediterranean area. In this context, accurately estimating the R-factor, which quantifies the potential of precipitation to cause soil erosion, is essential for assessing erosion risk and supporting effective soil conservation planning.

This study aims to update estimates of the R-factor across three regions of southern Italy (i.e., Campania, Sardinia, and Sicily) and to analyze its spatio-temporal evolution over the past 72 years. The first part of the study uses high resolution (10-minute) database of recent rainfall observations (2002-2023) to derive point-scale reference values of the R-factor at 169 stations in Campania, 134 in Sardinia and 92 in Sicily. These benchmark values, calculated using the RUSLE-2 method for rainfall kinetic energy combined with an innovative approach for identifying erosive events, were then used to locally calibrate and validate a selection of simplified empirical models at the regional level. Such simplified models can estimate the R-factor based on coarser resolution (i.e. daily) rainfall data, enabling broader regional applicability while maintaining accuracy.

In the second part of the study, the calibrated models were forced with daily rainfall data arising from a spatially distributed database (spatial resolution: 10 km x 10 km) covering the three regions over the period 1951-2022. This allowed the generation of an updated R-factor map for the regions and enabled an unprecedented analysis of trends over the 72-year time series. Specifically, trend detection was performed using the non-parametric Modified Mann-Kendall test at a significance level of α = 0.05, while trend magnitude was estimated using Sen’s slope estimator. The R-factor was computed over moving time windows of 16 years with a 4-year lag, also considering a multi-model ensemble mean approach. Additionally, Moran’s autocorrelation indices were used to investigate the spatial distribution of trends.

The results of the study revealed an overall positive trend in the R-Factor across the study area, indicating an increase in erosive potential of rainfall over the past years in all examined regions, with a more pronounced intensification in inland areas. The observed trends in southern Italy, consistent with broader patterns observed across the Mediterranean region, highlight the need for proactive soil conservation measures aimed at planning resilient and sustainable management strategies for regional agroecosystems.

How to cite: Ippolito, M., Nasta, P., Langousis, A., Romano, N., Deidda, R., and Pumo, D.: Rainfall erosivity in semi-arid Mediterranean areas: a multi-decadal spatio-temporal analysis of the R-factor (1951–2022), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10598, https://doi.org/10.5194/egusphere-egu26-10598, 2026.

EGU26-12122 | ECS | Posters on site | SSS2.4

Multi-model high-resolution projections of rainfall erosivity in Austria  

Simon Wöckinger, Johanna Wittholm, Lisbeth Johannsen, Elmar Schmaltz, and Klaus Haslinger

Water erosion poses a significant threat to agricultural systems, causing soil degradation, loss of fertile topsoil, and adverse impacts on water quality. Climate change is expected to exacerbate these effects, as increasing rainfall intensities enhance water-induced soil erosion. Potential soil erosion by water is commonly assessed using the Universal Soil Loss Equation (USLE) and its revised version (RUSLE), which combine information on soil properties, topography, land cover, conservation practices, and rainfall erosivity, expressed by the R-factor. While the R-factor is typically derived from high-temporal-resolution precipitation measurements and extrapolated using regression-based approaches, its projection into future climates remains challenging. Uncertainties arise primarily from the strong sensitivity of rainfall erosivity to short-duration precipitation extremes, which are poorly represented in conventional climate projections. As a result, existing methods either apply present-day relationships to future conditions or rely on convection-resolving simulations that are limited in temporal coverage and resolution, as well as ensemble size, hindering a robust assessment of future erosion risk and associated uncertainties. 

In this study, we determine the R-factor on a monthly basis for Austria at a spatial resolution of 1 km × 1 km for a reference period (1995–2015), the mid-century period (2036–2065, RCP8.5), the far future (2071–2100, RCP4.5 and RCP8.5), and under a global warming level of 3 °C. We first develop multiple linear regression models using rainfall data of 184 stations in Austria. For future periods, the regression models were modified applying Clausius-Clapeyron scaling and Austrian climate projection data (ÖKS15). This framework allows us to spatially extrapolate rainfall erosivity across Austria, while retaining high temporal resolution and explicitly accounting for model and scenario uncertainty. 

Our results indicate that rainfall erosivity is highest in August and increases most strongly in alpine regions, where the R-factor already has the highest present-day values. The largest increases, but also the greatest model uncertainties, are associated with the RCP8.5 scenario in the far future. In this scenario, the median increase in the R-factor in August is at least 72% - in some regions, even over 100%. Overall, all climate scenarios consistently project an increase in rainfall erosivity in the future. Incorporating the projected R-factors into the RUSLE model enables the estimation of future water-induced soil erosion and supports more robust risk assessment and adaptation planning. 

How to cite: Wöckinger, S., Wittholm, J., Johannsen, L., Schmaltz, E., and Haslinger, K.: Multi-model high-resolution projections of rainfall erosivity in Austria , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12122, https://doi.org/10.5194/egusphere-egu26-12122, 2026.

EGU26-12577 | ECS | Posters on site | SSS2.4

 Revegetation in Icelandic eroded areas: monitoring over a 10-year period 

Elva Bjork Benediktsdottir, Solveig Sanchez, Hrafnhildur Vala Fridriksdottir, Sigurlaug Birna Gudmundsdottir, and Johann Thorsson

Iceland has a long history of land degradation lasting over a millennium. Prior to human settlement, heath plant communities were widespread, and mountain birch covered around 40% of the country. Today, birch cover about 1% after episodes of degradation and extensive erosion. It is furthermore estimated that 40% of the land cover is still in degraded or eroded state. The drivers behind this shift are both anthropogenic and environmental with considerable interactions. One critical factor is the vulnerability of Andisols, the dominating soil order, due to their lack of particle cohesion and low bulk density. However, Andisols can contain considerable amounts of soil organic carbon and soil water, both contributing to potentially high fertility. Degraded lands, where the Andisols have been lost, do therefore have a high potential for carbon sequestration through revegetation. The project presented here focuses on monitoring soil and vegetation changes in reclamation areas dating back to 1990. The sampling unit is a 10 x 10 m plot located on a random 1x1 km² national grid. Five subplots (50 x 50 cm) are used to collect composite samples and estimate vegetation cover using a modified Braun-Blanquet scale. Soil samples are divided into 0-5, 5-10, 10-20, and 20-30 cm depth intervals. These plots have now been sampled twice within 10 years. C and N content was analyzed in all samples. Preliminary results indicate a general increase in vegetation cover and carbon stocks over the 10-year sampling period but trends do differ depending on approaches and location. This variability highlights the importance of finding the most suitable reclamation approach depending on local environmental and geographical conditions. Further statistical analysis will focus on identifying the key factors affecting changes in carbon stocks and vegetation covers, and how we can use the different reclamation approaches to effectively revegetate the degraded land.

How to cite: Benediktsdottir, E. B., Sanchez, S., Fridriksdottir, H. V., Gudmundsdottir, S. B., and Thorsson, J.:  Revegetation in Icelandic eroded areas: monitoring over a 10-year period, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12577, https://doi.org/10.5194/egusphere-egu26-12577, 2026.

EGU26-13715 | ECS | Orals | SSS2.4

Annual and Monthly Reconstruction of Historical R-Factor from REDES and ERA5-Land 

Konstantinos Kaffas, Francis Matthews, Philipp Saggau, Panos Panagos, and Pasquale Borrelli

Soil erosion by water remains a major environmental threat in Europe, with rainfall erosivity (R-factor) acting as a key driver of its magnitude and spatiotemporal variability, and with indications that erosion pressures may intensify under future climatic conditions (Panagos et al., 2021). At the European scale, event-based rainfall erosivity has been robustly characterized through the REDES database, resulting in a mean multi-annual R-factor map (Panagos et al., 2015) and monthly climatological R-factor maps derived from REDES and WorldClim data (Ballabio et al., 2017), together providing a consistent spatial framework for erosion assessments. Building on these established frameworks, we extend these products by reconstructing temporally resolved annual and monthly rainfall erosivity for Europe from 1950 to present, combining the spatial patterns of REDES with the temporal variability captured by ERA5-Land hourly precipitation.

ERA5-Land hourly precipitation is used to identify erosive rainfall events at each grid cell using standard criteria (Renard et al., 1997). Rainfall erosivity (EI₆₀) is calculated for each erosive event, and monthly erosivity is obtained by aggregating event contributions and applying month-specific conversion factors to express erosivity on a 30-min basis (Panagos et al., 2016), ensuring consistency with established formulas and enabling comparable monthly and seasonal analyses across heterogeneous recording intervals. Annual and monthly reconstruction is performed by scaling the REDES multi-annual and monthly climatological erosivity maps using ERA5-derived annual and monthly anomalies, therefore preserving the spatial patterns of REDES while transferring ERA5-captured interannual and intra-annual variability. The workflow produces gridded annual and monthly ERA5 erosivity and reconstructed erosivity maps accompanied by statistics and extreme-event diagnostics.

Results indicate that most years and months exhibit scaling ratios close to unity across large parts of Europe, while a limited fraction of pixels shows substantial anomalies and are subjected to targeted hotspot analysis. By extending rainfall erosivity reconstruction beyond the reference period to the present and transforming established multi-annual and monthly climatological R-factor products into fully time-resolved annual and monthly maps, we enable a consistent assessment of recent variability and extremes fully aligned with European erosivity mapping, providing a robust basis for erosion modeling, risk assessment, and climate-impact studies.

Acknowledgement: K.K, F.M., P.B, were funded by the European Union Horizon Europe Project Soil O-LIVE (Grant No. 101091255). P.S. was funded by the European Union Horizon Europe Project AI4SoilHealth (Grant No. 101086179).

References:

Ballabio, C., Borrelli, P., Spinoni, J., Meusburger, K., Michaelides, S., Beguería, S., ... & Panagos, P. (2017). Mapping monthly rainfall erosivity in Europe. Science of the Total Environment, 579, 1298-1315.

Panagos, P., Ballabio, C., Borrelli, P., Meusburger, K., Klik, A., Rousseva, S., ... & Alewell, C. (2015). Rainfall erosivity in Europe. Science of the Total Environment, 511, 801-814.

Panagos, P., Borrelli, P., Spinoni, J., Ballabio, C., Meusburger, K., Beguería, S., ... & Alewell, C. (2016). Monthly rainfall erosivity: conversion factors for different time resolutions and regional assessments. Water, 8(4), 119.

Renard, K.G., et al., 1997. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE) (Agricultural Handbook 703). US Department of Agriculture, Washington, DC, p. 404.

How to cite: Kaffas, K., Matthews, F., Saggau, P., Panagos, P., and Borrelli, P.: Annual and Monthly Reconstruction of Historical R-Factor from REDES and ERA5-Land, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13715, https://doi.org/10.5194/egusphere-egu26-13715, 2026.

EGU26-14262 | ECS | Posters on site | SSS2.4

Global patterns and climate sensitivity of water- and wind-driven soil erosion risk 

Siqi Deng, Cathy Hohenegger, and Nima Shokri

Soil erosion by water and wind is a major land degradation process with wide-ranging impacts on food production, ecosystem functioning, and socioeconomic systems (Shokri et al., 2025). Intensified precipitation extremes and increasing aridity could influence the relative dominance of water- and wind-driven erosion in complex and spatially heterogeneous ways. However, a systematic understanding of where and how these two erosion mechanisms will respond to future climate variability at the global scale remains largely lacking. Current global assessments predominantly rely on empirical models. However, these approaches are highly parameterized, require extensive calibration, and are often difficult to apply consistently under changing climate conditions. Here, we aim to present a new framework to quantify potential soil erosion risk, in terms of the probability of erosion occurrence, rather than absolute soil loss. The study will use km-scale global simulations from ICON (~10 km) (Hohenegger et al., 2023), together with satellite and global soil datasets, to assess potential water and wind erosion risk under present and future climate conditions. The resulting high-resolution maps provide insight into present-day erosion hot spots, projected changes in erosion likelihood under different scenarios, and contrasting responses of water- and wind-driven erosion systems to variations in precipitation regimes, wind, and land surface conditions. This establishes an integrated and climate-informed basis (Shokri et al., 2023) for identifying priority regions for soil conservation and land management.

References:

Hohenegger, C., Korn, P., Linardakis, L., Redler, R., Schnur, R., Adamidis, P., et al. (2023). ICON‐Sapphire: Simulating the components of the Earth system and their interactions at kilometer and subkilometer scales. Geoscientific Model Development, 16(2), 779–811. https://doi.org/10.5194/gmd-16-779-2023

Shokri, N., Robinson, D.A., Afshar, M., Alewell, C., Aminzadeh, M., Arthur, M., Broothaerts, N., Campbell, G.A., Eklund, L., Gupta, S., Harper, R., Hassani, A., Hohenegger, C., Keller, T., Kiener, M., Lebron, I., Madani, K., Marwala, T., Matthews, F., Moldrup, P., Nemes, A., Panagos, P., Prăvălie, R., Rillig, M.C., Saggau, P., Shokri-Kuehni, S.M.S., Smith, P., Thomas, A., Wollesen de Jonge, L., Or, O. (2025). Rethinking Global Soil Degradation: Drivers, Impacts, and Solutions, Rev. Geophys. 63, e2025RG000883, https://doi.org/10.1029/2025RG000883

Shokri, N., Stevens, B., Madani, K., Grabe, J., Schlüter, M., Smirnova, I. (2023). Climate Informed Engineering: An essential pillar of Industry 4.0 transformation, ACS Eng. Au, 3, 1, 3–6, https://doi.org/10.1021/acsengineeringau.2c00037

How to cite: Deng, S., Hohenegger, C., and Shokri, N.: Global patterns and climate sensitivity of water- and wind-driven soil erosion risk, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14262, https://doi.org/10.5194/egusphere-egu26-14262, 2026.

EGU26-15013 | ECS | Posters on site | SSS2.4

Climate and Land Use Controls on Future Soil Erosion in the Upper Blue Nile Highlands 

Legese Abebaw Getu, Sándor Szegedi, Hailu Kendie Addis, and Zoltán Túri

Soil erosion in the Ethiopian highlands poses a persistent threat to land productivity, downstream water bodies, and long-term watershed sustainability. While both climate change and land-use transitions are recognized as major drivers of erosion, their combined and relative effects remain insufficiently quantified at watershed scale. This study investigates how projected climate change and land-use change interact to shape future soil erosion dynamics in the Gumara–Maksegnit watershed, a critical tributary of Lake Tana in the Upper Blue Nile Basin. An integrated modeling framework was developed by coupling the Revised Universal Soil Loss Equation (RUSLE) with probabilistic climate projections and data-driven land-use simulations. Future rainfall was derived from five CORDEX-Africa regional climate models, bias-corrected and combined using Bayesian Model Averaging (BMA) to reduce model uncertainty and improve representation of rainfall erosivity. Land-use and land-cover changes were mapped for 2003 and 2023 using multi-temporal Landsat imagery and Random Forest classification, and future land-use patterns (2083) were simulated using an artificial neural network–based Cellular Automata approach. Soil erosion was quantified for historical, current, and future periods under land-use change only, climate change only (RCP4.5 and RCP8.5), and combined scenarios. Results indicate a continued expansion of cultivated land at the expense of forest and grazing areas, accompanied by a progressive increase in rainfall erosivity. Mean annual soil loss increased substantially from historical to current conditions and is projected to intensify further under future scenarios. Climate change exerts a stronger marginal influence on soil erosion than land-use change alone; however, their interaction amplifies erosion non-linearly, leading to the highest erosion rates under the combined land-use change and RCP8.5 scenario. Persistent erosion hotspots are concentrated on steep northern and northeastern slopes, where high topographic control coincides with limited conservation practices. The findings emphasize the importance of integrating climate uncertainty and land-use dynamics in soil erosion assessments and highlight the need for slope-targeted, climate-adaptive soil and water conservation strategies to mitigate future land degradation in the Upper Blue Nile highlands.

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Getu Legese Abebaw is funded for his PhD study by the Scholarship for Christian Young People.

How to cite: Getu, L. A., Szegedi, S., Addis, H. K., and Túri, Z.: Climate and Land Use Controls on Future Soil Erosion in the Upper Blue Nile Highlands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15013, https://doi.org/10.5194/egusphere-egu26-15013, 2026.

EGU26-15627 | Orals | SSS2.4

Global Estimation of the Soil Erosion Cover-Management Factor for Non-Agricultural Land (Cnon-crop) Using Google Earth Engine 

Haijing Shi, Baoyuan Liu, Rui Li, Qinke Yang, Xiaoping Zhang, and Hongming Zhang

The cover-management factor for non-agricultural land (Cnon-crop) is a critical parameter in the USLE-based soil erosion models, and its estimation accuracy directly affects the reliability of regional and global soil erosion simulations. This study developed a dynamic global estimation framework for Cnon-crop by integrating a pixel-based spectral mixture model (NDVI-SWIR32) and rainfall erosivity weighting within the Google Earth Engine platform. Using MOD43A4 and MOD09GA data, we retrieved global fractional cover of photosynthesizing vegetation (fPV), non-photosynthesizing vegetation (fNPV), and bare soil (fBS) at 500 m resolution from 2000 to 2024. The fNPV during the non-growing season in deciduous forests was explicitly incorporated as a proxy for annual understory coverage to better represent its role in erosion mitigation. Combined with ERA5 rainfall data and land use information, soil loss ratios across 24 half-month periods were weighted by rainfall erosivity to generate a continuous global Cnon-crop product. The results show that the mean Cnon-crop values for forests, shrublands, and grasslands were 0.017, 0.014, and 0.029, respectively, which align closely with values reported in the literature (0.020, 0.018, and 0.032), with absolute errors ranging between 0.003 and 0.004. This confirms the stability and applicability of the proposed method across different ecological zones. Approximately 82.8% of the global land area exhibited a Cnon-crop value below 0.2, primarily distributed in temperate and subtropical regions. High Cnon-crop values (>0.5) were concentrated in arid and semi-arid regions such as North Africa and Central Asia, indicating weaker vegetation protection and higher ecosystem vulnerability. The explicit inclusion of understory vegetation significantly improved the parameterization of soil erosion factors in forest ecosystems and effectively reduced the systematic bias associated with relying solely on canopy cover.

How to cite: Shi, H., Liu, B., Li, R., Yang, Q., Zhang, X., and Zhang, H.: Global Estimation of the Soil Erosion Cover-Management Factor for Non-Agricultural Land (Cnon-crop) Using Google Earth Engine, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15627, https://doi.org/10.5194/egusphere-egu26-15627, 2026.

Mitigating soil erosion and muddy floods with vegetative barriers in Belgium's open agricultural landscapes

Glenn Desplentere, Amaury Frankl

Climate and Earth Lab, Department of Geography, Ghent University, Gent, Belgium

Vegetative barriers are widely implemented nature-based solutions in open agricultural landscapes to mitigate the off-site impacts of soil erosion and reduce the occurrence of muddy floods. Although their effectiveness and functioning are well documented in laboratory settings, relatively few studies have evaluated their performance under field conditions. Using hilly Flanders (Belgium) as a case study, this research assessed (i) the quality of field implementation, (ii) the effectiveness in reducing peak runoff, and (iii) potential negative geomorphological feedbacks, across 244 small agricultural catchments treated with vegetative barriers. The barriers consisted of woodchips, coconut-fibre bales, willow brushwood, and straw bales. To assess whether field-installed barriers function as intended, 40 randomly selected barriers were inspected in situ. Barrier capacity to attenuate peak runoff was evaluated using a semi-quantitative scoring grid, based on criteria including structural continuity, evidence of bypass flow, and the presence of soil piping. Peak runoff was simulated for all barriers under the assumption of fully functional performance. Long-term runoff time series were generated from historical rainfall records, and peak flows were derived using peak-over-threshold (POT) frequency analysis. Simulated peak inflows were then compared with barrier outflow capacity to assess effectiveness. Results indicate a generally poor implementation quality: only a limited fraction of barriers were fully functional, while more than half were classified as dysfunctional (i.e., unable to mitigate peak flow). Woodchip barriers performed best overall, whereas straw-bale barriers exhibited the lowest reliability. Modelled peak runoff suggests that approximately half of all barriers are unable to buffer peak flows during high-intensity rainfall events, whereas well-maintained barriers show a clear capacity to attenuate peak discharges. In addition, negative geomorphological feedbacks were observed: ephemeral gullying occurred on nearly half of cropland areas downstream of barriers. While nature-based solutions are increasingly promoted to mitigate off-site erosion impacts and reduce muddy-flood risk, these findings highlight substantial management challenges and potential unintended geomorphological effects. Field-based evidence such as presented here is crucial, as modelling approaches may otherwise overestimate barrier effectiveness. Muddy floods can be viewed as a symptom of structurally and hydrologically degraded soils; vegetative barriers can contribute to mitigation, but only when carefully implemented and maintained, and when guided by a robust geomorphological understanding of the treated catchments.

How to cite: Desplentere, G. and Frankl, A.: Mitigating soil erosion and muddy floods with vegetative barriers in Belgium's open agricultural landscapes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17622, https://doi.org/10.5194/egusphere-egu26-17622, 2026.

EGU26-18825 | ECS | Posters on site | SSS2.4

Future Evolution of Rainfall Erosivity in the Greater Alpine Region from Convection-Permitting Climate Models 

Mansoor Ahmed, Eleonora Dallan, Panos Panagos, Petr Vohnicky, and Marco Borga

Understanding future changes in rainfall erosivity is crucial for soil erosion management and related hazard mitigation in regions with complex topography. Rainfall erosivity is strongly controlled by short-duration precipitation characteristics, which are more realistically represented by convection-permitting climate models (CPMs) operating at convection-resolving scales, than by coarser regional models. Despite their advantages, CPM-based projections remain challenging due to limited simulation lengths and ensemble sizes. This study assesses projected changes in rainfall erosivity by analyzing both the intensity and the frequency of individual erosive rainfall events. The focus is on the Greater Alpine Region, a climatically and topographically heterogeneous area particularly sensitive to rainfall-driven erosion processes. An ensemble of nine CPM simulations from the CORDEX-FPS initiative at 3-km resolution is analyzed for a historical period (1996–2005), and a far future (2090–2099) under the RCP8.5 scenario.

The results indicate a widespread increase in projected rainfall erosivity across the region, driven by intensification of erosive rainfall events and, in some areas, by their increased frequency. Notably, the strongest relative increases are projected for high-elevation areas (particularly in the Eastern Alps), where present-day rainfall erosivity is comparatively low, while lowland regions, characterized by higher current erosivity, exhibit more moderate future changes. This altitudinal contrast points to a partial redistribution of erosive potential. These findings highlight a growing erosion risk in alpine environments under future climate conditions.

How to cite: Ahmed, M., Dallan, E., Panagos, P., Vohnicky, P., and Borga, M.: Future Evolution of Rainfall Erosivity in the Greater Alpine Region from Convection-Permitting Climate Models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18825, https://doi.org/10.5194/egusphere-egu26-18825, 2026.

EGU26-19844 | ECS | Posters on site | SSS2.4

The Role of Postfire Rainfall and Drought Timing in Vegetation Recovery and Soil Erosion Risk 

Menwagaw Tadele Damtie, Carlo De Michele, and Sujith Ravi

In wildfire-affected landscapes, climate variability and fire burn severity jointly determine how long the soil surface remains exposed and how quickly vegetation recovers. In practice, annual basis soil loss estimates often overlook the seasonal dynamics between exposure and stabilization, which are strongly driven by rainfall and drought timing. This study examines how rainfall and drought impact vegetation recovery and the risk of soil erosion in the Upper Cache Creek watershed, following the 2018 Ranch Fire in the southwestern United States. We monitored biome-specific vegetation cover dynamics and postfire recovery using seasonal time series of the Normalized Difference Vegetation Index (NDVI) derived from Landsat-8 imagery spanning 2016 to 2024. We mapped fire burn severity using the differenced Normalized Burn Ratio (dNBR) and quantified drought stress from the Gridded Surface Meteorological (GRIDMET) dataset using the Standardized Precipitation–Evapotranspiration Index. Rainfall erosivity density was reconstructed by integrating long-term mean annual precipitation from the Parameter-elevation Regressions on Independent Slopes Model (PRISM) with a high-temporal-resolution station-based erosivity dataset, thereby providing an updated rainfall erosivity factor for the study period. We further derived high-resolution soil erodibility and topographic parameters from the Soil Survey Geographic database and the Shuttle Radar Topography Mission digital elevation model, respectively. Geospatial data processing and model parameterization were conducted using Google Earth Engine and Quantum Geographic Information System. Results show that forest and shrubland exhibited an exponential recovery pattern in moderate-to-high-burn-severity areas, with a half-recovery period of about 2 to 3 years. By the sixth year following the fire, the two vegetation types had significantly rebounded, reaching 69% recovery in forests and 76% in shrublands compared to prefire conditions. Grasslands responded erratically, marked by rapid greening during the first postfire wet season and declines in subsequent drought years. In line with these vegetation trends, RUSLE estimates indicate that the largest erosion pulse occurred in the first postfire year, when high rainfall erosivity coincided with widespread soil exposure.  As a result, mean annual soil loss rates in fire-affected areas were up to fourfold relative to the prefire values. With rainfall erosivity closer to baseline conditions in 2024, erosion remained double due to intervening drought years, which suppressed early recovery gains by up to 40%. RUSLE soil loss estimates were validated with observed sediment yield at the watershed’s outlet and showed strong agreement across most postfire years. The observed sediment yield in 2017 remained notably higher relative to the estimated value. This anomaly was likely influenced by seasonal sediment-flushing operations, given the presence of two large upstream reservoirs. The results show that the interaction between rainfall and drought events governs postfire recovery and erosion, highlighting the importance of accounting for their timing, especially in annual assessments of postfire erosion.

Keywords: Wildfire, Soil Erosion, Vegetation Recovery, RUSLE, Rainfall Erosivity

How to cite: Damtie, M. T., De Michele, C., and Ravi, S.: The Role of Postfire Rainfall and Drought Timing in Vegetation Recovery and Soil Erosion Risk, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19844, https://doi.org/10.5194/egusphere-egu26-19844, 2026.

EGU26-21715 | ECS | Orals | SSS2.4 | Highlight

A Half-Century Intensification of Lateral Carbon Transfer along the Congo Basin’s Land–Ocean Aquatic Continuum 

Pengzhi Zhao, Minna Ma, Nathan Carlier, Lissie de Groot, Antoine de Clippele, Matti Barthel, Travis W. Drake, Jordon D. Hemingway, Haicheng Zhang, Adam Hastie, Johan Six, Kristof Van Oost, and Pierre A. G. Regnier

The Congo Basin, home to the world’s second largest tropical rainforest and river network, plays a crucial role in the global carbon (C) cycle. However, rapid population growth and land-use changes are intensifying geomorphic and biogeochemical disturbances. Consequently, the basin is experiencing accelerated soil redistribution, whose impacts on lateral C transfer along the land–ocean aquatic continuum (LOAC) remain largely unknown. By integrating the most comprehensive observation dataset available with a state-of-the-art land surface model (ORCHIDEE-Clateral), this study quantified the magnitude and temporal evolution of lateral C fluxes in the forms of particulate organic carbon (POC), dissolved organic carbon (DOC), and carbon dioxide (CO₂) over the past five decades, and assessed the impact of these lateral C transfers on the terrestrial C budget. The calibrated ORCHIDEE-Clateral model explains 73%, 84%, 78%, and 84% of the spatial variation in observed river water discharge, sediment discharge, POC concentration, and DOC concentration in the Congo River network, respectively. It also captures well the seasonal variations in riverine water discharge, sediment discharges, water surface extent, and riverine CO₂ partial pressure. Using the calibrated model, we reconstructed the historical evolution of C fluxes and transformations along the LOAC. Since 1970, lateral C (i.e., POC, DOC, and CO2) input from land to river has increased significantly (Mann–Kendall P < 0.001), with POC, DOC, and CO2 rising by 51%, 20%, and 29%, respectively. The increase in POC is primarily driven by land-use change, followed by climate change and rising atmospheric CO₂. Of the terrestrial C entering the Congo River network, 61% of DOC and 67% of POC remain within the river–floodplain complex—approximately two and three times the proportion retained in the Amazon and European river networks, respectively. These results suggest that the majority (> 60%) of the laterally transported terrestrial C is stored or transformed inside the Congo Basin rather than being exported to the ocean or released to the atmosphere. With the projected rapid population growth and land-use expansion in the Congo Basin, lateral C fluxes along the LOAC are expected to intensify further, reinforcing the Congo Basin’s role as a major inland C buffer that reshapes the regional land–ocean C balance.

How to cite: Zhao, P., Ma, M., Carlier, N., de Groot, L., de Clippele, A., Barthel, M., Drake, T. W., Hemingway, J. D., Zhang, H., Hastie, A., Six, J., Van Oost, K., and Regnier, P. A. G.: A Half-Century Intensification of Lateral Carbon Transfer along the Congo Basin’s Land–Ocean Aquatic Continuum, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21715, https://doi.org/10.5194/egusphere-egu26-21715, 2026.

EGU26-22132 | Posters on site | SSS2.4

Effects of Wind-Induced Sand Abrasion on Succulent Plant Communities in the Northern Cape, South Africa. 

Wolfgang Fister, Leo Nyffenegger, and Denis Niederberger

The vegetation of South Africa’s Northern Cape forms part of the Succulent Karoo biome, a globally significant dryland system characterized by exceptionally high succulent diversity and endemism. During drought periods and because of land-use change, reduced vegetation cover can enhance the frequency and intensity of aeolian activity by facilitating sand transport. This process reinforces wind erosion and increases the susceptibility of the remaining vegetation to mechanical disturbance.

Although succulent species are generally well adapted to arid environments, their responses to intensified aeolian impacts remain insufficiently understood. Increased abrasion, tissue damage, and partial burial caused by sandblasting may impair plant functioning and survival, thereby weaken the stabilizing role of vegetation and promoting positive feedbacks between vegetation loss and soil degradation. Despite the importance of these mechanisms for dryland degradation, the direct effects of aeolian abrasion on succulent vegetation and their contribution to land degradation dynamics are still poorly quantified.

This study investigates the effects of sandblasting on individual succulent plants using controlled wind tunnel experiments. Experimental treatments combined wind speeds ranging from 2 to 12 m s⁻¹ with systematically varied sediment loads, including differences in sand concentration and grain-size composition, to determine damage thresholds and evaluate the effects of repeated sandblasting events. The experimental framework enables a clear separation of aerodynamic and sediment-related controls, reflecting both present-day conditions and plausible future sandstorm scenarios in degraded dryland environments. Plant responses were quantified at the individual scale using high-resolution imaging to document abrasion patterns, tissue degradation, and structural alterations.

The results are expected to provide quantitative insights into the role of aeolian processes in driving vegetation degradation and reinforcing land degradation in the Northern Cape. By linking wind erosion intensity to plant-level damage, this study contributes to a mechanistic understanding of degradation pathways in arid and semi-arid rangelands.

How to cite: Fister, W., Nyffenegger, L., and Niederberger, D.: Effects of Wind-Induced Sand Abrasion on Succulent Plant Communities in the Northern Cape, South Africa., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22132, https://doi.org/10.5194/egusphere-egu26-22132, 2026.

EGU26-797 | ECS | Posters on site | HS9.6

Tracing Sediment Pathways in the Siang Basin: A Multi-Proxy Provenance Approach Using Petrography, Zircon Geochronology, and Sr–Nd Isotopes 

Sandeep Panda, Anil Kumar, Sourabh Singhal, and Pradeep Srivastava

Understanding sediment provenance is crucial for reconstructing past environmental conditions and deciphering erosion patterns in rapidly evolving mountain belts such as the Himalaya. The Yarlung–Tsangpo–Brahmaputra system, one of the world’s most dynamic sediment-routing networks, provides a key setting to examine how extreme hydrological events mobilize material from distinct source terranes. In this study, we analyse five well-dated paleoflood deposits from the Siang River using an integrated suite of provenance tools—sand petrography, U–Pb zircon geochronology, and Sr–Nd isotope geochemistry—to evaluate their relative strengths and interpretive limitations.

Petrographic data show quartz–feldspar-rich compositions and heavy-mineral assemblages pointing to contributions from the Higher Himalayan Crystallines (HHC) and Tethyan Sedimentary Sequence (TSS), although long-distance transport, weathering, and hydraulic sorting obscure lithologic specificity. Zircon age spectra reveal diverse age populations sourced from the Namche Barwa syntaxis, Tibetan Plateau, and Lhasa Terrane; however, zircon recycling and overlapping age groups introduce ambiguity in resolving discrete source areas. Sr–Nd isotopic signatures provide a more integrated and transport-insensitive signal, indicating dominant TSS influence with enhanced erosion of the Namche Barwa region during high-magnitude flood events. Together, these proxies demonstrate that each method captures a different scale of sediment input—petrography reflecting local lithologic contributions, zircon ages tracing distal and recycled sources, and Sr–Nd isotopes integrating basin-scale signatures. The multi-proxy approach underscores the need to combine complementary datasets to accurately reconstruct sediment routing, identify erosional hotspots, and comprehend megaflood-driven landscape evolution in the eastern Himalayas.

How to cite: Panda, S., Kumar, A., Singhal, S., and Srivastava, P.: Tracing Sediment Pathways in the Siang Basin: A Multi-Proxy Provenance Approach Using Petrography, Zircon Geochronology, and Sr–Nd Isotopes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-797, https://doi.org/10.5194/egusphere-egu26-797, 2026.

EGU26-820 | ECS | Posters on site | HS9.6

Evaluation of Traditional and Ensemble ML Algorithms for Scour Depth Prediction: Performance, Error Distribution, and Gaussian Noise Robustness   

Abhi Sangra, Hari Prasad Kotnoor Suryanarayanarao, and Chandra Shekhar Prasad Ojha

Reliable prediction of scour depth is essential for hydraulic design, yet its nonlinear dependence on flow and sediment parameters often limits the accuracy of empirical formulations. This study develops a comprehensive machine-learning framework to model scour depth using a dataset of 450 samples. Two families of ML models were employed: (i) traditional techniques—Decision Tree and Support Vector Regression (SVR), and (ii) ensemble-based techniques—Random Forest, Bagging Regressor, AdaBoost, and Gradient Boosting. Model performance was evaluated using multiple statistical and graphical diagnostics, including scatter plots, residual distributions, cumulative relative-error curves, frequency histograms, Taylor diagrams, and train–test comparisons.

To assess robustness, controlled Gaussian noise perturbations (2.5–15%) were synthetically induced in the input variables, and ten Monte-Carlo trials were performed for each noise level. For every model, the lower bound, upper bound, and mean R² values were computed, enabling a stability-based comparison. Ensemble models demonstrated substantially higher accuracy and noise-tolerance than traditional approaches. Gradient Boosting and Random Forest consistently exhibited the highest coefficient of determination, narrowest error bands, and least sensitivity to perturbations, whereas SVR and Decision Tree showed wider deviation ranges.

Overall, the findings confirm that ensemble learning—particularly boosting-based methods—provides a more accurate, robust, and generalizable tool for scour prediction compared to standalone ML models. The proposed framework establishes a reproducible methodology that integrates predictive accuracy with noise-resilience, making it suitable for practical hydraulic engineering applications.

How to cite: Sangra, A., Kotnoor Suryanarayanarao, H. P., and Ojha, C. S. P.: Evaluation of Traditional and Ensemble ML Algorithms for Scour Depth Prediction: Performance, Error Distribution, and Gaussian Noise Robustness  , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-820, https://doi.org/10.5194/egusphere-egu26-820, 2026.

EGU26-1774 | Posters on site | HS9.6

Potential use of fallout radionuclides as tracers of environmental processes after wildfires in Tohoku Region, Japan 

Olivier Evrard, Naoya Takahashi, Thomas Chalaux-Clergue, Anthony Foucher, and Pierre-Alexis Chaboche

Following the Fukushima nuclear accident in March 2011, significant deposition of radiocesium, including 134Cs and 137Cs, occurred across vast regions of Northeastern Japan, in the Tohoku Region. However, as most studies have focused on fallout in the Fukushima Prefecture, there is much less information available on the situation in other parts of the Tohoku region of Japan further north. Against this backdrop, the present study examined the presence of fallout radionuclides (including the natural radionuclide 210Pb and the artificial radionuclides 134Cs and 137Cs) in both burned and unburned soil profiles, as well as in various surface soil and sediment samples collected in the Kamaishi region (Iwate Prefecture, Tohoku Region, Japan), which was affected by extensive wildfires in 2017.  The results show that 210Pb and 137Cs can be used to trace sediment sources in landscapes affected by wildfires in this region. Furthermore, analysis of the soil profiles demonstrated that all analysed fallout radionuclides were enriched in the burned versus unburned profiles due to radionuclides being trapped by vegetation and incorporated into the ash after the fire. Detecting 134Cs in the uppermost 0–5 cm layer of all soil profiles investigated also demonstrated significant Fukushima fallout of 134Cs and 137Cs in this region, roughly equivalent to the fallout associated with nuclear atmospheric tests in the 1960s. In future, both sources of fallout should be considered when interpreting radionuclide data found in environmental samples collected in vast regions of north-eastern Japan. Analysis of 134Cs should also be encouraged in order to document fallout sources in these regions for as long as this short-lived radionuclide remains detectable (i.e. until around 2031).

How to cite: Evrard, O., Takahashi, N., Chalaux-Clergue, T., Foucher, A., and Chaboche, P.-A.: Potential use of fallout radionuclides as tracers of environmental processes after wildfires in Tohoku Region, Japan, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1774, https://doi.org/10.5194/egusphere-egu26-1774, 2026.

EGU26-2798 | ECS | Posters on site | HS9.6

Which benefits of fluvial annex sediment analysis for quantifying and tracing industrial pollution along the Saône River?  

Augustine Écorse, André-Marie Dendievel, Brice Mourier, Alexandra Coynel, Élie Dhivert, Frédéric Paran, Steve Peuble, Thierry Winiarski, and Jean-Philippe Bedell

In the context of river ecological restoration in Europe and in order to achieve a “good” ecological and chemical status in watercourses, it is essential to quantify the volumes of contaminated sediment accumulated in fluvial annexes, which may be remobilized during floods or human interventions. These assessments not only allow the evaluation of ecotoxicological risks, but also help to assess the ecological functions associated with reconnection to the main channel. The Saône River (France), the main tributary of the Rhône River in terms of hydro-sedimentary contributions, has been little studied from this perspective, despite numerous developments (dykes) that have profoundly altered the lateral connectivity of its main channel. A more in-depth knowledge of the Saône River is therefore clearly needed  to guide effective and safe ecological restoration actions.

The volumes of sediments accumulated in three fluvial annexes distributed along the Saône River were estimated by combining ground-penetrating radar (GPR) transects with sediment cores sampling. These sediment archives were characterized (grain-size, organic matter content, trace metal content) to reconstruct the temporal trends of metal accumulation, based on ¹³⁷Cs and ²¹⁰Pb dating. Depending on the site, these sediment sequences provide six to eight decades of records, extending back to the 1940s for the longest. These data allow quantification of contaminants stocks (trace metals) and estimation of the annual load of contaminated suspended matters by the river in each site.

The study sites exhibit contrasting morphologies and varying levels of lateral connectivity with the main channel. These differences influence the sediment storage volumes within the fluvial annexes, ranging from 8,000 m³ to 100,000 m³. These results reveal metal enrichment since the 1940s, with a clear and well-documented increase in Cd, Cu, Pb and Zn during the post‑World War II economic expansion (1950s), reaching maximum concentrations during the 1970s. Their concentrations subsequently declined in the 1990-2000s before stabilizing at lower plateau values.

A specific feature concerns the contamination history of Ag, most likely driven by the photographic industry, which presented a three-phase pattern: (i) regular increase in the 1970s and 1980s, (ii) successive peaks between 1986 and 1994, and (iii) a marked decline in the late 1990s-2000s, with the decline of silver. This typical signal was observed at all studied sites along the river, despite hydrological connectivity differences. These sedimentary record complement monitoring data, especially for trace metals that were difficult to quantify in the past. This study highlights the major influence of historical contamination sources that released polluted sediments at the basin scale over several decades. This reconstruction also has national-scale implications and complements records obtained by other research works (such as on the Seine or Garonne rivers), highlighting the extent and persistence of pollution linked with photographic product manufacturing in Western Europe before 2000. Together, these results provide an integrated understanding of sediment dynamics and contamination, offering key insights for future river management and restoration strategies.

How to cite: Écorse, A., Dendievel, A.-M., Mourier, B., Coynel, A., Dhivert, É., Paran, F., Peuble, S., Winiarski, T., and Bedell, J.-P.: Which benefits of fluvial annex sediment analysis for quantifying and tracing industrial pollution along the Saône River? , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2798, https://doi.org/10.5194/egusphere-egu26-2798, 2026.

EGU26-3575 | Posters on site | HS9.6

Deciphering dilution, grain size, and provenance in sediment geochemistry 

Tomas Matys Grygar, Hans von Suchodoletz, Ivana Pavlů, and Christian Zeeden

A considerable number of geochemical and granulometric datasets from various sediment sequences was gathered during the recent decades in the context of palaeoenvironmental and palaeoclimate reconstructions, assessment of human impacts on earth surface processes, and provenance tracing in fluvial environments. Although the large importance of grain-size control on sediment geochemistry has been known for many years and was explicitly declared in some review papers on geochemical provenance tracing, it still forms a challenge for current research. The problem is that provenance, grain-size, and weathering (post-depositional alterations) jointly control the resulting chemical composition of paleosol-loess sequences or floodplain deposits, and need hence to be distinguished from each other. However, in several recent studies data processing was simplified and the results were presented in an unequivocal manner, although interpretation of sediment composition is always rather equivocal. This was especially the case when geochemical datasets were subjected to automated data processing by software routines, instead of an expert-based examination of the individual datasets and a correct qualitative distinguishing of the individual controlling factors.

Data assessment should always start from understanding the major geochemical and sedimentological factors and processes behind data variability. This phase cannot be automated, and should mandatorily precede the selection of appropriate data processing routines. On the one hand geochemical compositions may be mainly controlled by varying percentages of ‘diluting’ components such as quartz (usually sand) or (detritic or autochthonous) carbonate, that can be corrected for by rationally chosen element ratios. Numerous complex mathematical approaches have been designed to address that issue, however, they do not always produce interpretable results and therefore need empirical (expert-based) verification. One the other hand, ‘dilution’ effects can interfere with grain-size control, that can be revealed by scatterplots of element ratios or the visualisation of element ratios and grain size classes. Furthermore, the recently established Bayes space methodology for modelling and analysing continuous distributive data can visualise the grain size control of element ratios for entire granulometric curves. Combined with regression modelling this allows statistically sound conclusions about grain size effects on the element ratios desired for interpretation. For example, varying grain-size preferences of feldspars or zircons can point to distinct source rocks and thus qualitatively reveal provenance changes. Provenance changes can only be quantified after deciphering and considering ‘dilution’ and grain-size effects, and only if the sediment sources have really distinct geochemistry. The provenance tracing cannot be automated or based only on the formal performance of statistical tools such as low values of RMSE.

Concluding, provenance tracing should be based on geochemically interpretable element concentration ratios after cross-checking for ‘dilution’ and grain-size control, best done ‘manually’ by assessing a series of (old-fashioned) scatterplots, preferably with the granulometry information implemented using the Bayes space methodology. To obtain sound conclusions it is also essential to phrase clear and testable research questions before any research, acquire suitable data really representing variability in studied sediment sequences and potential provenance areas, and use statistical methods respecting real data complexity.

How to cite: Matys Grygar, T., von Suchodoletz, H., Pavlů, I., and Zeeden, C.: Deciphering dilution, grain size, and provenance in sediment geochemistry, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3575, https://doi.org/10.5194/egusphere-egu26-3575, 2026.

EGU26-3609 | ECS | Orals | HS9.6

The Effectiveness of Check Dams on Post-fire Erosion Control - The Significance of Timely Construction 

Aristeidis Kastridis and Marios Sapountzis

This study investigates the effectiveness of torrential erosion control structures (concrete check dams) in reducing post-fire sediment transport in the Seich Sou Forest close to Thessaloniki, Greece. The July 1997 wildfire destroyed 68% of the forest vegetation, posing an urgent risk of severe erosion and floods in Thessaloniki's urban complex.

The responsible agencies decided to construct erosion control structures inside the streambeds of the watersheds that drain the Seich Sou Forest. This work was critical in watersheds where the lowland segment of the stream runs through communities, and the transportation of sediments and debris might endanger property, infrastructure, and even human life. Most of the concrete check dams were built in 2001, four years after the fire. This study included a complete documentation of the constructed check dams as well as a measurement of the sediments that gathered 21 years after the fire.

This study assessed the efficiency of constructed check dams in capturing sediments after a fire, as well as the influence of construction time, in two typical catchments (Eleonas and Panteleimon). In addition, the hypothesis "What would the effectiveness of check dams be if they were constructed immediately after the fire?" was examined. The innovative part of this study was the detailed recording of all check dams and the volume of trapped sediments, while the fact that most dams were not completely filled allowed us to compute soil erosion rates in detail.

In 2022, our team carried out field investigations to assess the size, effective storage capacity, and siltation of 40 check dams. The results showed that the dams in the Eleonas and Panteleimon catchments stored 14.36% and 18.81% of their maximal effective capacity, respectively. In the first three years following the fire, the potential maximum annual retention capacity of the check dams in the Eleonas watershed was 6.17 t/ha/year, while in the Panteleimon basin, it was 7.08 t/ha/year. The delayed construction of the check dams resulted in the failure to trap the eroded soil, which means that in the first three post-fire years, all the soil was lost to the sea.

Previous investigations have determined the precise values of post-fire erosion in the study region to be 7.76 t/ha/year and 3.39 t/ha/year for the first and second post-fire years, respectively. The annual post-fire erosion values mentioned above fall within the estimated maximum retention capacity of the check dams constructed in the research catchments. As a result, the timely (immediately following the fire) and appropriate construction of check dams can effectively manage the greatly increased post-fire erosion rates. Although check dams are extremely successful in stabilizing disrupted fire environments, their full advantage can only be realized if they are built on time and efficiently. To decrease soil loss and improve landscape resilience, future studies should focus on the timely construction of post-wildfire erosion control structures.

How to cite: Kastridis, A. and Sapountzis, M.: The Effectiveness of Check Dams on Post-fire Erosion Control - The Significance of Timely Construction, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3609, https://doi.org/10.5194/egusphere-egu26-3609, 2026.

EGU26-4157 | ECS | Posters on site | HS9.6

Suspended Sediment Fluxes and Decadal Trends in the Humid Tropics: Machine Learning Reconstruction and Coupled Modelling in Upper Blue Nile Tributaries 

Kindie B.Worku, Fasikaw A. Zimale, Till Francke, Morteza Zargar, and Axel Bronstert

Sediment-laden runoff in Ethiopia’s Upper Blue Nile Basin (UBNB) threatens the ecological health of Lake Tana and the operational efficiency of the Grand Ethiopian Renaissance Dam (GERD). Limited event-based sediment sampling hinders the accurate estimation of fluxes and process-based modeling in this data-scarce region. This study reconstructs continuous daily sedigraphs (1990–2020) for the Gilgel Abay (1,664 km²) and Gumara (1,394 km²) watersheds using machine-Learning (ML) methods, including Gradient Boosting (GB), Random Forest (RF), and Quantile Regression Forests (QRF), along with traditional techniques, using discharge, rainfall, temperature, and evapotranspiration as predictors.

QRF achieved the highest validation accuracy at the daily scale (R² = 0.62–0.72), capturing non‑linear sediment dynamics and providing uncertainty‑quantified yields (90% CI: 17.15–54.37 t/ha/yr for Gilgel Abay; 21.15–40.61 t/ha/yr for Gumara). Mean annual sediment yields were 27.5 ± 7.2 t/ha/yr (Gilgel Abay) and 23.8 ± 10.7 t/ha/yr (Gumara), with 93–95% of transport occurring during the monsoon season (June–October), emphasizing strong rainfall control.

The reconstructed records enabled the first successful calibration and validation of the WASA-SED model for coupled daily streamflow and suspended-sediment dynamics in the Ethiopian Highlands. Monthly simulations showed strong performance (NSE 0.66–0.86; R² 0.72–0.87). Flow- and sediment-duration curves indicated excellent skill during high-flow events, which dominate sediment export, with underestimation in mid- and low-sediment ranges.

Decadal analyses revealed contrasting watershed trajectories. In Gilgel Abay, rainfall intensified (from 136.9 mm/month in the 1990s to 208 mm/month in the 2020s), streamflow increased by 78% (55 to 98 m³/s), and sediment loads peaked mid‑period before declining. In Gumara, rainfall remained stable, but streamflow rose 54% (35 to 54 m³/s), and sediment loads increased 61% (8.2 to 13.2 × 10³ t/day), influenced by wetland loss (−63%) and rapid urban expansion.

This integrated ML–process modelling framework bridges sediment data gaps, advances hydro-sediment process understanding, and supports targeted erosion mitigation for the sustainable management of the UBNB. The approach is transferable to other humid tropical basins facing similar data limitations.

 

Keywords: sediment reconstruction, QRF, WASA‑SED, decadal trends, Upper Blue Nile, humid tropics, data‑scarce modelling

 

How to cite: B.Worku, K., A. Zimale, F., Francke, T., Zargar, M., and Bronstert, A.: Suspended Sediment Fluxes and Decadal Trends in the Humid Tropics: Machine Learning Reconstruction and Coupled Modelling in Upper Blue Nile Tributaries, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4157, https://doi.org/10.5194/egusphere-egu26-4157, 2026.

EGU26-4192 | ECS | Orals | HS9.6

Time-scale-dependent Sediment–Discharge Coupling across Fourteen Catchments Using Wavelet Analysis 

Fahimeh Mirchooli, Nuria Martínez-Carreras, and Julian Klaus

Suspended sediment dynamics exhibit strong temporal variability and nonlinear behavior, making it challenging to characterize their relationship with streamflow using traditional statistical or machine-learning approaches. In this study, we addressed the following questions: how does the coupling between suspended sediment concentration (SSC) and discharge change across temporal scales, and which hydrological, morphological, climatic, and land-use factors control these changes? To investigate this, we examine the time-scale-dependent and non-stationary coupling between SSC and discharge across fourteen catchments (0.94-2846 km2) spanning diverse climatic and geomorphic settings. We applied wavelet coherence (WTC) and partial wavelet coherence (PWTC) analyses to quantify both the total and precipitation-independent SSC-discharge coupling across time scales ranging from 2 to 512 days. The analysis is performed continuously in time and interpreted within short (2-32 days), intermediate (32-128 days), and long (128-512 days) temporal bands. We used Spearman correlation to explore links between coherence and catchment characteristics, including physiography, morphology, climate, hydrology, and land use. Across all catchments, SSC-discharge generally exhibits strong coupling, although the strength of this coupling can be weak and fragmented at some time scales, indicating a non-stationary sediment response to discharge variations. After removing the influence of precipitation, much of this coherence weakens or becomes more fragmented across time scales, demonstrating that a substantial part of the SSC-discharge relationship reflects their shared hydrological forcing by precipitation. Nevertheless, a part of coherent patterns persists in all catchments, implying that catchment characteristics also sustain SSC-discharge coupling beyond direct precipitation effects. At short time scales, coupling is primarily controlled by slope and maximum length of the catchment; at intermediate scales, by moisture accumulation, land use, and aspect; and at long time scales, by moisture, slope aspect, and pasture cover. Using data from fourteen catchments, this study moves beyond single-catchment analyses and shows that wavelet-based approaches can disentangle precipitation-driven sediment dynamics from those controlled by catchment characteristics, providing new insight into how intrinsic catchment properties regulate SSC-discharge interactions across multiple temporal scales.

Key words: Catchment characteristics, Hydro-sediment dynamics, Partial wavelet coherence (PWTC), Suspended sediment concentration, Wavelet coherence (WTC)

How to cite: Mirchooli, F., Martínez-Carreras, N., and Klaus, J.: Time-scale-dependent Sediment–Discharge Coupling across Fourteen Catchments Using Wavelet Analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4192, https://doi.org/10.5194/egusphere-egu26-4192, 2026.

EGU26-5762 | Posters on site | HS9.6

Joint practices to support the torrent control structures management in geo-hydrological risk mitigation across borders 

Federico Cazorzi, Luka Žvokelj, Vesna Zupanc, Nejc Bezak, Mojca Fabbro, Adrien Clerbois, Andrea Ziraldo, Fabio di Bernardo, Eleonora Maset, Alberto Beinat, Elisa Arnone, Maria Eliana Poli, Christian Orlando, and Sara Cucchiaro

Geo-hydrological risk mitigation exceeds administrative borders and needs shared and coordinated actions to address climate change effects across borders. In vulnerable areas, such as North-Eastern Italy and Slovenia where torrents and rivers cross national boundaries, joint strategies are essential to improve watershed management, infrastructure safety, and human protection. This requires integrating diverse expertise through cooperation among cross-border authorities, stakeholders, and researchers to develop a shared management solution and a response to common challenges. Torrent control works have been strategically used for several decades to regulate sediment dynamics in mountain catchments, but few research studied how structures interact with erosion and deposition processes. Nowadays, multi-temporal High-Resolution Topography (HRT) and GIS technologies enable efficient analysis of sediment dynamics in fluvial systems and their evolving interactions with watershed control structures. To improve watershed management and prioritise maintenance, the Interreg ITA-SLO “TORRENT” project aims to define shared international standards for monitoring torrent control systems and evaluating their long-term performance. The results highlight how a shared database complemented by common tools such as the Maintenance Priority Index, advanced technology and standardised data collection protocols, strengthens watershed management challenges in Slovenia and Italy and provides a transferable strategic approach for other basins in neighbouring countries.

Acknowledgments

The TORRENT project is co-funded by the European Union under the Interreg VI-A Italy-Slovenia Programme.

How to cite: Cazorzi, F., Žvokelj, L., Zupanc, V., Bezak, N., Fabbro, M., Clerbois, A., Ziraldo, A., di Bernardo, F., Maset, E., Beinat, A., Arnone, E., Poli, M. E., Orlando, C., and Cucchiaro, S.: Joint practices to support the torrent control structures management in geo-hydrological risk mitigation across borders, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5762, https://doi.org/10.5194/egusphere-egu26-5762, 2026.

EGU26-7778 | ECS | Orals | HS9.6

Innovative and robust approach to trace the origin of suspended particulate matter (SPM): application to the Saône watershed 

Claveau Maeva, Masson Matthieu, Gruat Alexandra, Dherret Lysiane, and Dabrin Aymeric

Identifying the sources of suspended particulate matter (SPM) at the watershed scale remains a major challenge for sediment management, particularly in large river basins. Several approaches are used to trace particle origins, such as the implementation of a SPM fluxes monitoring network, sedimentary modelling or by combining geochemical fingerprinting method with mixing models. Significant progress over the past decade has strengthened their robustness, particularly in the selection of tracers, resolution algorithms, source-term representation, and validation procedures. However, most sediment fingerprinting studies rely on discrete surface source-sediment sampling, which may not adequately reflect the spatial and temporal variability of sediment sources.

Particle traps (PTs) provide an effective alternative for suspended particulate matter sampling, offering an integrative approach that better captures temporal variability in SPM properties over a defined deployment period (typically one week to one month). However, their use raises a number of methodological locks, which could call into question the robustness of their use in fingerprinting approaches. PTs tend to preferentially collect coarser particles and may be affected by redox processes during deployment, which may induce trace metal release or redistribution and reducing their reliability as conservative tracers. To assess the representativeness of sediment traps, we implemented a dual sampling strategy combining monthly integrative sampling using PTs with discrete SPM grab samples. This comparison enables us to (i) quantify biases associated with PT sampling and (ii) assess the robustness of these integrative tools in an organic-rich, hydrogeologically dynamic environment.

To overcome these biogeochemical processes in the PT, we applied a recently developed analytical approach, targeting trace metals bound to the non-reactive fraction of SPM and enabling their use as conservative tracers unaffected by these processes. Therefore, combining PT sampling with tracers derived from the conservative fraction of SPM, we propose a highly promising method to track SPM origin.

This innovative tracing approach is being applied in the Saône basin (about one-third of the Rhône basin - 30,000 km²). The sediments of the Saône are the second most contaminated along the Rhône. Their downstream continuity to the Mediterranean Sea highlights the need to identify and quantify SPM sources to better manage their impacts on aquatic systems. The experimental design spans the 2024 - 2025 hydrological year and includes instrumentation of five major tributaries (Upper Saône, Ognon, Ouche, Doubs and Seille) as well as the basin outlet at Lyon. Particle traps were installed at each site and sampled monthly, supplemented by monthly spot sampling of reference SPM sampling. Mixing model outputs are presented as a function of sampling strategy (PTs versus spot sampling) and the tracers analysed in the residual / conservative fraction. For the first time, a preliminary estimate of the relative contributions of tributaries to the SPM flow at the scale of the Saône basin can be proposed, highlighting the strengths and limitations of the different fingerprint approaches used.

How to cite: Maeva, C., Matthieu, M., Alexandra, G., Lysiane, D., and Aymeric, D.: Innovative and robust approach to trace the origin of suspended particulate matter (SPM): application to the Saône watershed, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7778, https://doi.org/10.5194/egusphere-egu26-7778, 2026.

EGU26-10161 | Posters on site | HS9.6

Global assessment of CSSI land use fingerprints of long-chain fatty acids in soils 

Axel Birkholz, Olivier Evrard, Anthony Foucher, Miriam Glendel, Ji-Hyung Park, Rafael Ramon, Sebastien Salvador-Blanes, Tales Tiecher, and Christine Alewell

The 2025 "State of Food and Agriculture" (SOFA) report published by the Food and Agriculture Organization of the United Nations (FAO) reiterates the significant threat posed by soil erosion and land degradation to agricultural productivity, food security, and the resilience of ecosystems. The FAO estimates that around 1.7 billion individuals globally reside in regions facing yield gaps associated with human-induced land degradation (FAO, 2025).

Numerous scientists across the globe, including our research team in Basel, have utilized and assessed d13C compound-specific stable isotopes (CSSI) derived from long-chain fatty acids across various land uses as tracers. This methodology has been employed to monitor and identify erosion stemming from different land uses to river or lake sediments (Alewell et al., 2016; Upadhayay et al., 2022), as well as to depositional sites (Mabit et al., 2018), and to investigate land use changes within soil chronosequences (Swales and Gibbs, 2020). This analytical tool can act as a significant asset for global decision-makers, aiding in the protection of soil and water resources both in a general context and in relation to specific United Nations Sustainable Development Goals (SDGs): 2 – Zero Hunger, 6 – Clean Water and Sanitation, 12 – Responsible Consumption and Production, 13 – Climate Action, 14 – Life Below Water, and 15 – Life On Land.

We present data of isotopes collected over several years from different land use in various regions including Europe (Switzerland, France, England, Scotland), South Korea, and Brazil. The isotopic values transition from being more depleted in temperate Europe to more enriched in the semi-humid Brazilian savannah, with South Korea exhibiting intermediate values. Furthermore, additional data from over 40 internationally published studies have been compiled to enhance our findings.

This is the first presentation of such a data collection, which can be continuously updated with the latest research findings, functioning as both an archive and a foundational data resource for sediment source attribution to ascertain the origins and potential causes of soil erosion. Additionally, a CSSI land use database encompassing numerous regions globally could significantly lessen the burden of costly and labor-intensive source soil sampling, particularly when time and resources are constrained.

 

References:

Alewell, C., Birkholz, A., Meusburger, K., Schindler Wildhaber, Y., and Mabit, L.: Quantitative sediment source attribution with compound-specific isotope analysis in a C3 plant-dominated catchment (central Switzerland), Biogeosciences, 13, 1587–1596, https://doi.org/10.5194/bg-13-1587-2016, 2016.

FAO. 2025. The State of Food and Agriculture 2025 – Addressing land degradation across landholding scales. Rome.

Mabit, L., Gibbs, M., Mbaye, M., Meusburger, K., Toloza, A., Resch, C., Klik, A., Swales, A., Alewell, C.,: Novel application of Compound Specific Stable Isotope (CSSI) techniques to investigate on-site sediment origins across arable fields, Geoderma, Volume 316, 2018.

Swales, A. & Gibbs, M.: Transition in the isotopic signatures of fatty-acid soil biomarkers under changing land use: Insights from a multi-decadal chronosequence, Science of The Total Environment, Volume 722, 2020.

Upadhayay, H.R., Granger, S.J. & Collins, A.L. Comparison of sediment biomarker signatures generated using time-integrated and discrete suspended sediment samples.Environ Sci Pollut Res 31, 22431–22440 (2024). 

 

How to cite: Birkholz, A., Evrard, O., Foucher, A., Glendel, M., Park, J.-H., Ramon, R., Salvador-Blanes, S., Tiecher, T., and Alewell, C.: Global assessment of CSSI land use fingerprints of long-chain fatty acids in soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10161, https://doi.org/10.5194/egusphere-egu26-10161, 2026.

EGU26-10772 | ECS | Posters on site | HS9.6

Evaluation of Large Wood Accumulation Processes at a Retention Structure in the Rindbach Alpine Torrent (Austria): A Numerical Study 

Sophie Kienesberger, Isabella Schalko, Virginia Ruiz-Villaneva, and Christian Scheidl

In alpine torrents, the transport of large wood plays a significant role in the development of multi-hazard chains, while also contributing to channel complexity, sediment regulation, and the ecological functioning of mountain stream ecosystems, its mobilization during extreme events increases the risk of damage for infrastructures. The interaction between large wood, sediment and infrastructure such as engineering structures can lead to hazards, due to the formation of wood jams, related backwater effects, overtopping and unexpected morphological changes. Therefore, understanding the transport dynamics of large wood is fundamental for the design of resilient torrent control measures.

The Rindbach catchment in Ebensee close to the Traunsee (Austria) serves as a representative case study area for these processes. This torrent has a history of high wood recruitment driven by deforestation and avalanches such as the Häuseleckgraben avalanche in 2009 which delivered about 1,000 m3 of wood into the channel. A wood retention rack was built as part of a project by the Austrian Service for Torrent and Avalanche Control (WLV), after the flood event in 2013 that demonstrated the vulnerability of local settlements to wood-laden floods.

To analyze the potential formation of wood jams at the retention structure, the 2D numerical model IberWood is used. The methodology focuses on the interaction between channel morphology, hydraulic flow conditions and the variable transport pattern of large wood. To analyze the systematic response of the torrent to varying wood loads, historical high-flow conditions like the event in 2013 are used as a reference framework. The focus lies on identifying the amount of wood needed to clog the retention structure and affect its discharge capacity. The aims of this study are to provide valuable insights into the optimization of technical wood retention in torrential catchments and to contribute to the development of more resilient hazard mitigation measures in the Alps.

How to cite: Kienesberger, S., Schalko, I., Ruiz-Villaneva, V., and Scheidl, C.: Evaluation of Large Wood Accumulation Processes at a Retention Structure in the Rindbach Alpine Torrent (Austria): A Numerical Study, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10772, https://doi.org/10.5194/egusphere-egu26-10772, 2026.

EGU26-11642 | ECS | Orals | HS9.6

Linking sediment connectivity with direct protection forest management: the case study of Lombardy Region  

Irene Vercellino, Gaia Mascetti, Giorgio Vacchiano, Gian Battista Bischetti, and Alessio Cislaghi

Direct protection forests (DPFs) play a key role in mitigating natural hazards by reducing their impacts on exposed elements such as buildings, infrastructure, and transportation networks. By definition, a DPF requires the simultaneous presence of three components: (i) a potentially damaging natural hazard, (ii) people or assets exposed to this hazard, and (iii) a forest capable of preventing or mitigating the resulting damage, thereby providing a protective function. Despite the conceptual clarity of this definition and the importance of DPFs for land-use planning, their delineation at the regional scale remains challenging. This is because the protective role of forests varies with the type of natural hazard and is often constrained by limited or heterogeneous data availability.

This study proposes an integrated, spatially explicit methodology for delineating DPFs based on the overlay of multiple geospatial information layers: (i) natural hazard maps describing the spatial distribution of susceptibility (or probability of occurrence) to shallow landslides, rockfalls, debris flows, and avalanches; (ii) a forest cover map providing both forest extent and canopy cover classes; (iii) elements at risk derived from regional authority databases; and (iv) a connectivity map used to identify sediment linkage areas between potential hazard source zones and exposed elements. A key component of this last layer is the Sediment Connectivity Index, which provides spatially explicit estimates of sediment connectivity and allows the identification of forest patches that perform a direct protective function for the selected elements at risk.

The methodology was applied to the Lombardy Region in northern Italy, whose territory extends over 23,860 km², including large portions of Italian Alps and Pre-Alps, and is characterized by a forests cover of approximately 6,259 km² (26% of the entire regional area). The results indicate that DPFs extend over 992 km², accounting for the 16% of the forested area. Based on this delineation, spatially distributed indices were developed to assess forest protection predisposition and the priority of silvicultural interventions. Overall, the proposed approach provides an effective decision-support tool for forest management, improving mapping consistency and supporting targeted strategies aimed at enhancing the long-term protective function and resilience of forests under increasing natural hazard pressure.

How to cite: Vercellino, I., Mascetti, G., Vacchiano, G., Bischetti, G. B., and Cislaghi, A.: Linking sediment connectivity with direct protection forest management: the case study of Lombardy Region , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11642, https://doi.org/10.5194/egusphere-egu26-11642, 2026.

EGU26-11837 | Orals | HS9.6

An integrated framework for evaluating large wood recruitment from hillslopes to channel network in forested mountain catchments 

Alessio Cislaghi, Silvio Oggioni, Francesco Bassi, Giorgio Vacchiano, and Gian Battista Bischetti

Large wood (LW) is a key factor influencing the physical, chemical, environmental, and biological characteristics of low-order mountain stream systems. LW recruitment is controlled by several physical processes, including debris flows, shallow landslides, streambank erosion, and windthrow, and it can significantly increase hazards to downstream populations and infrastructure during extreme events. Quantifying LW recruitment is particularly challenging due to the diversity of potential source areas and mobilization processes. 

Accurate quantification requires an integrated approach that accounts for LW recruitment from hillslopes mobilized by shallow landslides, from headwater hollows affected by debris flows, along the channel network through streambank failures, and during downstream transport. This study combines a physically based and probabilistic slope stability analysis, several empirical relationships for debris-flow initiation/propagation, a spatially distributed sediment connectivity index, and a simplified one-dimensional hydraulic model to simulate channel widening and downstream LW transport. Input parameters were derived from analyses of forest stand characteristics, soil and lithological properties, intensity–duration–frequency curves, and digital elevation model.

The proposed approach identifies critical channel stretches and crossing infrastructures that are most prone to obstruction by floating recruited LW. The model was applied to a small mountainous headwater catchment in the Northern Apennines, characterized by a dense forest cover and a high susceptibility to shallow landslides and debris flows, particularly in late spring and early autumn. Results indicate that the estimated LW volumes are comparable to those measured through field surveys, demonstrating the robustness of the proposed methodology. Because the approach relies on commonly available data, it represents a valuable tool for forest planning and management, for assessing the impacts of natural and anthropogenic forest disturbances (e.g., diseases, fires, clear-cutting, or clearing), and for supporting the optimal placement of in-channel wood retention structures.

How to cite: Cislaghi, A., Oggioni, S., Bassi, F., Vacchiano, G., and Bischetti, G. B.: An integrated framework for evaluating large wood recruitment from hillslopes to channel network in forested mountain catchments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11837, https://doi.org/10.5194/egusphere-egu26-11837, 2026.

EGU26-12086 | Posters on site | HS9.6

Global acceleration of sediment fluxes under post-1950 agricultural intensification 

Anthony Foucher, Olivier Evrard, Olivier Cerdan, and Sébastien Salvador-Blanes

Since the mid-20th century, agricultural intensification and expansion have profoundly altered sediment fluxes from cultivated landscapes to freshwater systems. However, the long-term (>70 years) regional and global imprint of these changes remains poorly quantified. Here, we present a global synthesis of sediment accumulation records from 812 lakes and reservoirs draining agricultural catchments affected by land use worldwide.

By compiling sediment accumulation rates (SAR), mass accumulation rates (MAR) and associated geochemical proxies constrained by robust age–depth models, we reconstruct multi-decadal sediment flux trajectories from 1900 to 2010 at global and regional scales, and compared them with global land use statistics. These trajectories provide an integrated proxy for long-term land degradation. Our results reveal a pronounced and sustained post-1950 increase in sediment fluxes, with global MAR and SAR rising by approximately 500% and 350%, respectively. This acceleration is observed across all regions of the world, although its timing and relationship with land-use change differ markedly. In Europe and North America, sediment fluxes increased earlier (1950s–1960s; ≈140%) despite declining agricultural land area, suggesting an anticorrelation with land extent but a strong link to the intensification of agricultural practices. In contrast, Africa, Asia and Latin America exhibited later accelerations (1980s–2000s) that are positively correlated with the agricultural expansion.

Together, these findings demonstrate that lakes and reservoirs in agricultural regions worldwide record a coherent sedimentary response to post-1950 agricultural changes, while highlighting regional contrasts in the mechanisms linking land use, land management and sediment delivery. This synthesis provides a long-term reference for evaluating the impact of agricultural intensification on soil degradation and freshwater systems during the Anthropocene.

How to cite: Foucher, A., Evrard, O., Cerdan, O., and Salvador-Blanes, S.: Global acceleration of sediment fluxes under post-1950 agricultural intensification, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12086, https://doi.org/10.5194/egusphere-egu26-12086, 2026.

EGU26-13048 | ECS | Posters on site | HS9.6

Disrupted Connectivity: The Impact of Check Dams on Bedload Transport and Sediment Storage in the Gürbe Catchment 

Chantal Schmidt, David Mair, Brian McArdell, and Fritz Schlunegger

Check dams are widely implemented in Alpine torrents to mitigate natural hazards and regulate sediment fluxes, yet their influence on sediment transfer and connectivity remains poorly constrained. In particular, it is still unclear how a series of check dams can modify sediment connectivity, specifically the erosion, and deposition patterns along the sediment cascade. We address this gap in the 12 km² Gürbe catchment at the northern margin of the Swiss Alps, where a steep, geomorphologically active channel reach has been engineered by approximately 100 check dams. The Gürbe torrent originates in low-erodibility Mesozoic limestones and transitions downstream into highly erodible Flysch, Molasse, and glacial till. A glacially conditioned knickzone at ~1200 m a.s.l. marks the onset of strong channel incision and enhanced hillslope–channel coupling (Schmidt et al. 2026). Downstream of this knickzone, the channel steepens by about 3°, traverses a landslide-prone corridor, and finally reaches the alluvial fan, forming a reach that is almost entirely controlled by check-dam structures.

We investigated the impact of check dams on bedload transport using repeated uncrewed aerial vehicle (UAV) - based photogrammetric surveys, which allowed us to quantify volumetric changes of the channel bed and to track erosion and deposition patterns through time (seasonal to annual and decadal). Our results show that bedload transport within the engineered reach is highly discontinuous, particularly during frequent low- to moderate-magnitude flow events. Check dams interrupt sediment continuity and create a succession of closely spaced erosion and deposition zones, leading to pronounced spatial variability in sediment dynamics over short distances. Even during moderate floods, gravel-bar re-working differs markedly between adjacent dam sections. Sediment inputs strongly control these dynamics. Material delivered from upstream is repeatedly reworked as it passes through successive check-dam compartments, alternating between reaches dominated by deposition and by erosion. In contrast, lateral sediment inputs, especially from landslides, promote net deposition and progressive accumulation of stored bedload material that is only mobilized during larger, less frequent flood events. Further downstream segments with lateral input of sediment derived from tributaries as well as non-regulated channel reaches are characterized by enhanced sedimentary dynamics, leading to abundant channel reorganization.

Overall, the check-dam system exhibits a tendency toward net deposition and sediment storage on decadal timescales, with dams acting as temporary buffers that trap bedload. These accumulated sediments form a latent sediment stock that is episodically released during major events, when channel erosion intensifies and stored material is excavated and transferred downstream. Our findings demonstrate that check dams fundamentally shift bedload transport from a relatively continuous process toward a pulsed, event-driven regime characterized by persistent reworking, long-term accumulation, and episodic phases of intensified erosion and transport.

Schmidt, C., Mair, D., Akçar, N., Christl, M., Haghipour, N., Vockenhuber, C., Gautschi, P., McArdell, B., and Schlunegger, F.: Quantifying erosion in a pre-Alpine catchment at high resolution with concentrations of cosmogenic 10Be, 26Al, and 14C, Earth Surf. Dynam., 14, 33–53, https://doi.org/10.5194/esurf-14-33-2026, 2026.

How to cite: Schmidt, C., Mair, D., McArdell, B., and Schlunegger, F.: Disrupted Connectivity: The Impact of Check Dams on Bedload Transport and Sediment Storage in the Gürbe Catchment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13048, https://doi.org/10.5194/egusphere-egu26-13048, 2026.

EGU26-13341 | ECS | Orals | HS9.6

Discharge–Sediment Regimes in Peninsular Malaysia: A Multi–Scale Analysis Based on National Datasets 

Jiachun Huang, Edward Park, Ming Fai Chow, Xianfeng Wang, and Adam Douglas Switzer

Tropical monsoon rivers can export a disproportionate share of sediment during short–lived high–flow events, yet humid, low–relief regions remain underrepresented in global discharge–sediment syntheses. Here we compile national daily discharge (Q) and suspended–sediment discharge (Qs) records from Peninsular Malaysia and quantify fluxes, yields, and discharge–sediment coupling across 12 river basins from seasonal to interannual scales. Across catchment outlets (n = 30), runoff export is comparatively buffered (water yield, WY ≈ 240–7691 mm yr-1), whereas sediment export is highly uneven and episodic (sediment yield, SY ≈ 46–985 t km-2 yr-1), with a small number of rivers contributing most monitored sediment flux. Basin attributes define a dominant relief–to–lowland regional gradient, but this structure explains only a modest share of SY variability (R2 ≈ 0.15), , suggesting that sediment yield is strongly modulated by basin-scale processes beyond regional structure. Across outlets, SY scales with WY as a power law (SY = 1893.5WY0.68; R2 = 0.30, p = 0.002), but the coupling differs by coast (West: R2 = 0.49, p = 0.008; East/South: R2 = 0.21, p = 0.082), implying systematic regional contrasts in sediment yield at comparable runoff. Seasonality is strongly monsoon–driven, and sediment export forms the sharper pulse. The wettest three–month period typically carries ~32–68% of annual discharge but ~38–88% of annual sediment. Interannually, discharge varies within a modest range, while sediment export commonly changes several–fold, so moderately wetter years can dominate long–term sediment budgets. Regulation further modifies these dynamics without a single consistent direction, indicating that post–dam sediment delivery depends on basin–specific sediment supply, storage, and connectivity rather than trapping alone.

How to cite: Huang, J., Park, E., Chow, M. F., Wang, X., and Switzer, A. D.: Discharge–Sediment Regimes in Peninsular Malaysia: A Multi–Scale Analysis Based on National Datasets, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13341, https://doi.org/10.5194/egusphere-egu26-13341, 2026.

EGU26-14490 | Orals | HS9.6

Employing lipid biomarkers to constrain environmental controls on the export of plant, soil and -derived organic matter. 

Cindy De Jonge, Pien Anjewierden, Francien Peterse, Chantal Freymond, Hannah Gies, Melissa Schwab, and Timothy Eglinton

River systems transport and transform organic carbon (OC) from the terrestrial realm, before delivering this organic matter to deposition centers. Organic carbon with different ages, such as i) modern organic matter, ii) pre-aged organic matter from surface soils or riparian zones or iii) petrogenic or rock-derived organic matter, is transported under different environmental conditions. Using a 30-month high-resolution time series study of the organic matter content of the suspended load in the subalpine Sihl River watershed (Switzerland), the impact of hydrology and seasonality on the amount and source of organic matter was determined.

Previous work on the distribution and amount of suspended bulk OM and vegetation derived lipid biomarkers (long chain fatty acids and n-alkanes) revealed that hydrology and seasonality determine their fluxes (i.e. Schwab et al., 2025). Specifically, storms are interpreted to promote the mobilization of both contemporary plant detritus and surface soils. Because plant waxes are sourced from both modern vegetation and pre-aged soils, the unique contribution of pre-aged soil material was not targeted. Now, the analysis of branched GDGTs, bacterial membrane-spanning lipids produced in high abundance in soils, allows to track this specific C pool. Furthermore, these three lipid classes are expected to show a different recalcitrance to degradations (fatty acids>GDGTs>n-alkanes), which allows to determine the effect of age and degradation on the composition of suspended organic matter.

Across the sampling period, the export of branched GDGTs closely follows the hydrograph. High discharge conditions (>12.7 m3 s−1), typified by a high suspended sediment load, result in a high brGDGT export flux. The distribution of brGDGTs in these conditions points towards a higher altitude source of brGDGTs during winter, compared with summer. This is distinct from the lower altitude source derived from plant wax distributions (Schwab et al., 2023). Changes in relative contribution of the three biomarker classes indicate the presence of three end-members, i) an end-member of recently produced fresh organic matter, dominated by long-chain fatty acids, ii) an end-member with strongly degraded organic matter (n-alkane Carbon Preference Index < 2), dominated by n-alkanes and iii) a poorly defined end-member with increased n-alkane and GDGT concentrations, interpreted as an input of soils. Remarkably, the content of the radio-active isotope 14C (F14C), is not uniform for given end-member mixtures, indicating that age alone does not determine the relative abundance of the lipid classes.

In low discharge conditions, the low contribution of soil-derived GDGTs is overwritten by GDGTs produced in the aquatic system. As GDGT distributions reflect their production environment (soil versus aquatic), the use of GDGT ratios to quantify soil-derived versus aquatic bacterial biomass is evaluated. The direct effect of temperature on GDGTs produced in low discharge conditions, however, results in large ranges of their ratio values, complicating their proposed interpretation as a tracer for the provenance of aquatic biomass in river systems.

References:
Schwab, M. S., Haghipour, N. & Eglinton, T. I. Geochimica et Cosmochimica Acta 391, 31–48 (2025).

How to cite: De Jonge, C., Anjewierden, P., Peterse, F., Freymond, C., Gies, H., Schwab, M., and Eglinton, T.: Employing lipid biomarkers to constrain environmental controls on the export of plant, soil and -derived organic matter., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14490, https://doi.org/10.5194/egusphere-egu26-14490, 2026.

EGU26-16353 | ECS | Orals | HS9.6

Combining elemental fractions as novel tracers with hysteresis analysis to improve the quantification of sediment sources during large storm events in (sub)tropical catchments 

Maarten Wynants, Nic Doriean, Cornelis Verboom, Ivan Lizaga, John Spencer, Will Bennett, Andrew Brooks, and Pascal Boeckx

Sediment pollution in (sub)tropical rivers and lakes of Queensland and East Africa is rapidly increasing, largely driven by subsurface erosion of deep alluvial and volcanic soils. These regions experience strong rainfall variability and flooding linked to climate and topographic controls, resulting in highly episodic soil loss and sediment transport. However, monitoring sediment sources during extreme events in remote (sub)tropical catchments remains challenging, meaning current understanding is often based on low temporal resolution data or visually dominant erosion features. In addition, the current set of sediment tracing approaches struggle to discriminate sources in deep tropical and alluvial soils or behave non-conservative in these environments.

This study addresses these methodological limitations to improve quantification of dominant sediment sources and soil loss processes in (sub)tropical catchments. We combine multiple water and suspended sediment monitoring tools, including low-cost automatic samplers, to capture the fluxes and variability of suspended sediment. We subsequently developed a novel sediment fingerprinting approach based on sequential extraction of elemental soil fractions. This tracer framework enables discrimination not only between catchment zones but also among multiple subsurface soil layers in deep alluvial and volcanic profiles. The tracer data are integrated into mixing models and event-scale sediment hysteresis analyses to construct dynamic sediment budgets and capture non-linear sediment responses to extreme rainfall.

Our results reveal the critical role of downwearing and chemical dissolution processes in large alluvial gullies of northern Queensland. These processes are largely neglected in current catchment models and gully analyses because they are not evident from repeat imagery assessments of gullies that demonstrate headcut retreat and bank collapse. In the Albert River (Southeast Queensland), we show that flooding associated with tropical Cyclone Alfred contributed approximately 60% of annual sediment export, dominated by erosion of subsurface soils from recent urban developments. This contrasts with earlier assessments in which radionuclide tracers provided only a binary subsurface signal, which together with visually evident bank collapse from aerial imagery led to attribution of sediment sources to alluvial bank erosion. Overall, our approach demonstrates how sediment source contributions and gully erosion processes shift dynamically during storm events, offering improved process understanding and more targeted management options under increasing climate extremes.

How to cite: Wynants, M., Doriean, N., Verboom, C., Lizaga, I., Spencer, J., Bennett, W., Brooks, A., and Boeckx, P.: Combining elemental fractions as novel tracers with hysteresis analysis to improve the quantification of sediment sources during large storm events in (sub)tropical catchments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16353, https://doi.org/10.5194/egusphere-egu26-16353, 2026.

EGU26-17224 | Posters on site | HS9.6

Event-based sediment loads from Austrian torrent catchments related to process and catchment characteristics 

Roland Kaitna, Maximilian Ender, Georg Nagl, Markus Moser, and Johannes Kammerlander

In engineering practice, the export of sediment loads during so-called “torrent events”, i.e. fluvial events or debris-flow events in steep headwater catchment, is of interest for short-term hazard assessment and longer-term sediment management in alpine regions. Several empirical models already exist for this purpose, each with varying degrees of complexity and uncertainty. In this study, a total of 3,642 torrent events in Austria, where information on the associated sediment load is available, were analyzed and related to geomorphological, geological, and hydro-meteorological boundary conditions. Despite of substantial scatter, we find that the type of event – fluvial flows or debris flows – as well as geology and geomorphology have the strongest control on sediment loads, while, interestingly, triggering precipitation show only limited correlations. Based on these results, we derive simple empirical equations to provide a data-driven assessment tool to estimate value ranges for future event sediment loads in torrent catchments in the Austrian Alps.

How to cite: Kaitna, R., Ender, M., Nagl, G., Moser, M., and Kammerlander, J.: Event-based sediment loads from Austrian torrent catchments related to process and catchment characteristics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17224, https://doi.org/10.5194/egusphere-egu26-17224, 2026.

EGU26-18366 | Orals | HS9.6

Escaping the black box: Addressing the mathematical blindness of sediment fingerprinting models 

Borja Latorre, Leticia Gaspar, and Ana Navas

In the last decade, sediment fingerprinting has evolved from a specialised geochemical technique to a widely used numerical tool for catchment management. However, as models become more complex (from Frequentist to Bayesian or Machine Learning approaches), a fundamental question arises: is the uncertainty in our results a product of environmental complexity or a consequence of the mathematical structures we use? This work advocates for a synergistic approach where mathematical rigor and field expertise are not just compatible, but inseparable.
Drawing on extensive research using virtual experiments and artificial laboratory mixtures, we demonstrate that unmixing models are inherently "blind" to any process not explicitly included in their underlying hypotheses. We show how common issues, such as high source variability, non-contributing sources, or particle size effects, often manifest as "model bias" when, in fact, they represent mathematical inconsistencies between the tracer signal and the model's assumptions.
We present the Consistent Tracer Selection (CTS) and the Linear Variability Propagation (LVP) methods as essential bridges between these two worlds. These tools allow researchers to test the mathematical consistency of their datasets before running any unmixing algorithm. Our findings, derived from comparing multiple model structures (including FingerPro, MixSIAR, and others), reveal a crucial reality: when tracers are selected following strict physical and mathematical criteria, the choice of the model becomes secondary.
The results show that different algorithms tend to converge on the same solution when the input data is consistent. Therefore, we argue that the future of sediment fingerprinting lies not in a "model war," but in a shift toward rigorous tracer validation. We conclude that understanding the mathematics behind the mixing process, such as the Conservative Balance (CB), is what allows us to interpret whether a model’s output represents a physical reality or merely a mathematical artifact.

How to cite: Latorre, B., Gaspar, L., and Navas, A.: Escaping the black box: Addressing the mathematical blindness of sediment fingerprinting models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18366, https://doi.org/10.5194/egusphere-egu26-18366, 2026.

EGU26-18921 | ECS | Posters on site | HS9.6

Experimental Investigation of Water-Flow Impact on Slit Dams with Varying Slit Widths 

Jianqiang Fan, Jinn-Chyi Chen, and Fengbin Li

Slit dams, a common type of check dam, are engineered to retain coarse sediment while allowing finer particles to pass through. During the interception of granular flows, a separation of water and sediment typically occurs, beginning with the initial impact and continuing through subsequent deposition stages. To fundamentally understand the mechanisms by which slit dams separate solid-liquid mixtures, it is essential to first isolate and examine the hydrodynamic impact of water on the dam structure in detail.

In the design of slit dams, the width of the slits between piers and the dam height are critical parameters. To investigate the effect of different slit widths, experiments were conducted in a rectangular transparent flume with a length of 1.58 m set at a fixed slope of 15°. Three slit configurations, labeled A4, A5, and A6 (representing arrangements with 4, 5, and 6 piers respectively), were tested in the flume. During the experiments, miniature pressure sensors were used to sample pressure fluctuations, and a high-speed camera operating at 400 fps was employed to capture the flow behavior. This setup allowed the detailed process of flow impacting the slit dams to be fully recorded for statistical analysis. The results indicate that the impact process can be divided into three stages: turbulent, stable, and decay. The maximum average impact force and overflow depth showed no significant difference across the different slit widths. The hydrograph for the A5 configuration, which exhibited high turbulence, demonstrated a longer duration and slower pressure decay, followed by A6 and then A4.

How to cite: Fan, J., Chen, J.-C., and Li, F.: Experimental Investigation of Water-Flow Impact on Slit Dams with Varying Slit Widths, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18921, https://doi.org/10.5194/egusphere-egu26-18921, 2026.

EGU26-20411 | Posters on site | HS9.6

Assessing Erosion Mitigation Effectiveness of Nature-Based Solutions Using InVEST® SDR Modeling: Application to the Carapelle Basin 

Ossama Mohamed Mahmoud Abdelwahab, Giovanni Francesco Ricci, Addolorata Maria Netti, Annunziata Fiore, Serine Mohammedi, Anna Maria De Girolamo, and Francesco Gentile

Mediterranean agricultural landscapes face significant challenges from soil degradation and erosion processes that compromise both productive capacity and downstream water resources, creating an urgent need for implementing sustainable conservation strategies through Nature-Based Solutions (NBSs). This research employed the InVEST Sediment Delivery Ratio (SDR) modeling framework to examine erosional dynamics and quantify the potential benefits of various NBS interventions within the 506 km² Carapelle catchment. Model calibration and validation procedures utilized empirical sediment yield observations from the 2007-2008 monitoring period, achieving optimal parameter adjustment with only 4.3% variance from field measurements. A 20-year measured weather data were used to run the InVEST SDR model. The investigation examined four distinct NBS implementation strategies: contour-based cultivation techniques (CF), conservation tillage practices (NT), vegetative cover establishment (CCs), and integrated management approaches (Comb). Annual soil displacement rates under baseline conditions ranged between 2.43 and 3.88 t ha⁻¹ yr⁻¹ across the study years, with corresponding downstream sediment delivery of 0.86-1.30 t ha⁻¹ yr⁻¹. Conservation tillage emerged as the most effective single intervention, achieving an average 72.2% reduction in sediment transport. The integrated strategy combining conservation tillage with cover crop establishment delivered optimal results, yielding 75.9% and 70.5% reductions in sediment export and soil displacement, respectively. Geospatial evaluation demonstrated that forested and shrubland areas exhibited the highest natural retention capacity, while cultivated landscapes presented the greatest opportunities for NBSs deployment. The findings confirm that NBSs substantially improve sediment retention ecosystem services within Mediterranean agricultural watersheds. The InVEST SDR modeling approach demonstrates robust capabilities for catchment-scale erosion assessment. These outcomes offer practical insights for developing evidence-based land stewardship policies and conservation strategies in erosion-vulnerable Mediterranean regions.

How to cite: Abdelwahab, O. M. M., Ricci, G. F., Netti, A. M., Fiore, A., Mohammedi, S., De Girolamo, A. M., and Gentile, F.: Assessing Erosion Mitigation Effectiveness of Nature-Based Solutions Using InVEST® SDR Modeling: Application to the Carapelle Basin, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20411, https://doi.org/10.5194/egusphere-egu26-20411, 2026.

EGU26-20802 | Posters on site | HS9.6

Sediment availability and connectivity: a geomorphological framework for debris-flow hazard assessment 

Marco Cavalli, Stefano Crema, Jacopo Rocca, Angelo Ballaera, Antonella Barizza, Giulio Gaigher, Elena Ioriatti, Lorenzo Marchi, Marco Piantini, Alessandro Sarretta, Margherita Agostini, Federica Bianchi, Marta Martinengo, and Tommaso Simonelli

The occurrence and magnitude of debris flows largely depend on the amount of sediment stored within a catchment and the effectiveness of its connection to the channel network. Quantifying both sediment availability and its connectivity is therefore a critical requirement for constraining numerical simulations used to delineate debris-flow inundation areas. To support more reliable hazard assessments in alpine regions, an integrated geomorphological framework was developed and implemented in the Camonica Valley (Italian Alps) to characterise potential debris flow behaviour. The approach places particular emphasis on sediment connectivity as a key link between sediment sources and downstream propagation, reinforcing the role of geomorphological and geomorphometric analyses as a foundation for numerical modelling. Field observations, historical records of past events, and morphometric indicators are jointly used to discriminate between dominant flow processes and to estimate the volumes of sediment that may be mobilised during extreme events. The workflow combines GIS-based regional screening of debris-flow susceptibility along the drainage network with the identification of sediment source areas derived from orthophotos and terrain analysis, followed by an explicit evaluation of sediment connectivity and field-based verification of sediment thickness. Overall, the methodology provides a coherent and transferable basis for debris-flow hazard zonation and land-use planning in mountain environments, with sediment connectivity explicitly embedded in the assessment process.

How to cite: Cavalli, M., Crema, S., Rocca, J., Ballaera, A., Barizza, A., Gaigher, G., Ioriatti, E., Marchi, L., Piantini, M., Sarretta, A., Agostini, M., Bianchi, F., Martinengo, M., and Simonelli, T.: Sediment availability and connectivity: a geomorphological framework for debris-flow hazard assessment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20802, https://doi.org/10.5194/egusphere-egu26-20802, 2026.

EGU26-21024 | Posters on site | HS9.6

Tracing hillslope sediment contributions to a lake shore using geochemical and fallout radionuclide fingerprints 

Leticia Gaspar, Borja Latorre, and Ana Navas

Soil erosion and sediment redistribution in Mediterranean agroforestry landscapes are strongly influenced by land use and substrate variability, affecting sediment delivery to downstream sinks. Identifying the relative contributions of hillslope sediment sources to depositional environments is essential for understanding sediment transfer processes and source–sink connectivity. In this study, sediment fingerprinting techniques were applied to quantify hillslope sediment contributions recorded in a lake shore sediment core within the endorheic Estaña catchment (NE Spain). The closed hydrological setting and the presence of a lake acting as a natural sediment trap provide favourable conditions for tracing sediment provenance from adjacent slopes. A sediment core collected at the lower part of the hillslope in a lake shore, was analysed and compared with potential sediment sources representing different land uses and lithological units. Potential source materials and sediment core samples, analysed as a sequence of 5 cm depth intervals from the surface to depth, were characterised using a suite of geochemical elements (Mg, K, Na, Pb, Ba, Zn, Sr, Li, Mn, Co, Ni, Cu, Cr, Fe, Al and Ca) and fallout radionuclides (137Cs and excess 210Pb). The unmixing model FingerPro 2.0 was used to identify and estimate the relative contributions of the potential sources to the lake shore sediment core, allowing uncertainty to be explicitly assessed. Preliminary results reveal marked spatial variability in sediment source contributions linked to land use and lithology on the contributing hillslope, demonstrating the potential of combining geochemical and fallout radionuclide tracers to improve the robustness of sediment fingerprinting in small Mediterranean catchments. This approach provides valuable insights into hillslope to lake shore sediment connectivity and contributes to a better understanding of sediment source dynamics and temporal shifts in dominant sediment sources under changing environmental conditions.

How to cite: Gaspar, L., Latorre, B., and Navas, A.: Tracing hillslope sediment contributions to a lake shore using geochemical and fallout radionuclide fingerprints, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21024, https://doi.org/10.5194/egusphere-egu26-21024, 2026.

EGU26-21094 | Posters on site | HS9.6

Water Demand for Sediment Transport in Rivers: Conceptualization and Computational Approaches 

Maohua Le, Chuansheng Guo, and Zijing zhou

Sediment transport water demand provides the critical theoretical foundation for effective watershed management, optimized reservoir operation, and sustaining river ecosystem health. This demand refers to the clear or sediment-laden water volume needed for transporting a specified amount of sediment to a downstream location within a given period, under defined flow-sediment and channel boundary conditions, while preserving a target erosion-deposition balance. This demand is governed by the sediment‑carrying capacity and channel‑forming processes of the river and is modulated by channel geometry, sediment supply dynamics, grain‑size distribution, target erosion‑deposition levels, and temporal scale. It manifests through multi‑factor coupling, spatiotemporal variability, scale dependency, and functional orientation. A range of methods have been developed to calculate this demand, including the definition method, the equilibrium sediment transport method, data‑based analysis, erosion‑deposition correction, energy balance, and non‑equilibrium sediment transport approaches. Drawing on case studies from the Ningxia-Inner Mongolia reach and the lower Yellow River, this paper examines the key characteristics of sediment transport water demand and compares the applicability of prevailing calculation methods.

How to cite: Le, M., Guo, C., and zhou, Z.: Water Demand for Sediment Transport in Rivers: Conceptualization and Computational Approaches, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21094, https://doi.org/10.5194/egusphere-egu26-21094, 2026.

EGU26-21560 | ECS | Orals | HS9.6

Hydraulic modeling of Natural Water Retention Measures for flood risk mitigation in Sicily 

Anna Sangiorgi, Martina Stagnitti, Mariano Sanfilippo, Luca Cavallaro, Enrico Foti, and Rosaria Ester Musumeci

Flood events show a worrying growth trend, in severity and frequency, compared to the past, in particular in the Mediterranean countries. In accordance with the recent Natural Restoration Law (2024), Natural Water Retention Measures (NWRMs) are configured as tools capable of integrating engineering interventions with nature-based approaches to mitigate flood risks. To the authors’ knowledge, there is a lack of studies on the quantitative assessment of the effectiveness of NWRMs. In this context, the present study proposes a methodology based on hydraulic modeling for the evaluation of the effects of some NWRM at catchment area scale for flood risk mitigation, considering two case studies in Sicily, i.e. the catchment areas of the Eleuterio and Belice rivers. Starting from the study of the land use and the lithology of the considered Sicilian catchments, the most appropriate NWRM proposals are defined, which are reforestation in uncultivated land and low- and no-till practices in agricultural areas. Multiple intervention scenarios are proposed to identify the most effective measures for the case studies: i) reforestation, assumed on increasing percentages of the areas allocated to such intervention, i.e. 25%, 55%, 85% and 100%, considering both the initial and final state of growth of planted tree species; ii) conservation agriculture techniques (low-till and no-till practices) in fields intended for arable and similar crops or/and in orchards, vineyards and olive groves; iii) the combination of the above mentioned interventions. By using a rainfall-runoff model based on the Curve Number method, four hydrographs at the river mouth are obtained for each scenario and for the no intervention case, corresponding to the return periods of 5, 50,100 and 300 years. The implementation of the considered NWRMs produces the reduction of the peak flow rates with respect to the no intervention case. The obtained hydrographs are then used as inputs for the 2D hydraulic model developed in HEC-RAS,  and flood maps are obtained. As expected, for both case studies, the best performances are obtained with the combination of reforestation and conservation agriculture techniques, with reduction in the water depth of flooded areas up to 34.52% for a return period of 5 years and 16.12% for a return period of 300 years, and in the extension of flooded areas up to 52.74% for a return period of 5 years and 8.35% for a return period of 300 years. Moreover, reforestation appears to provide the larger contribution to flood risk reduction.

How to cite: Sangiorgi, A., Stagnitti, M., Sanfilippo, M., Cavallaro, L., Foti, E., and Musumeci, R. E.: Hydraulic modeling of Natural Water Retention Measures for flood risk mitigation in Sicily, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21560, https://doi.org/10.5194/egusphere-egu26-21560, 2026.

SSS3 – Soil as Records in Time and Space

EGU26-456 | ECS | Orals | BG2.7

Reconstructing human-environment interactions in the Maya lowlands using lipid biomarkers 

Benjamin Gwinneth, Kevin Johnston, Andy Breckenridge, Isabel Strachan, Alexis Marcoux, Haydar Martínez Dyrzo, Priyadarsi Roy, and Peter Douglas

The lowland Maya of Mesoamerica were affected by multiple environmental stresses throughout their history, and many experienced a major demographic and political decline, or collapse, during a period of inferred intense multidecadal drought, approximately 1200- and 1000-years BP. Given regional variation in the timing and character of the collapse (Demarest, 2004; Hodell et al., 2007; Webster et al., 2007; Kennett and Beach, 2014; Douglas et al., 2015), much remains to be discovered about the complex interactions between climate and society in the Maya lowlands. To this end, we combine carbon and hydrogen isotopic analyses of leaf wax n-alkanes with quantification of faecal stanols and polycyclic aromatic hydrocarbons from a lake sediment core from the southwest lowlands to assess whether (1) palaeoecological evidence of land use is related to population change; and (2) whether population and land use are linked to changing precipitation. Our data reveal a transition from generally more intense fire use and C4 plant agriculture during the Preclassic (3500–2000 BP) to dense populations and reduced fire use during the Classic (1600–1000 BP). This is consistent with other evidence for a more urbanised and specialised society in the Classic. We do not find evidence of drought in the hydrogen isotope leaf wax record (δDlw), implying that local drought was not a primary driver of observed variability in land use or population change in the Classic-period southwestern lowlands. We present preliminary data from lake sediment cores from the northern lowlands. 

How to cite: Gwinneth, B., Johnston, K., Breckenridge, A., Strachan, I., Marcoux, A., Martínez Dyrzo, H., Roy, P., and Douglas, P.: Reconstructing human-environment interactions in the Maya lowlands using lipid biomarkers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-456, https://doi.org/10.5194/egusphere-egu26-456, 2026.

EGU26-1451 | ECS | Posters on site | BG2.7

Seasonality of Group I alkenone production and in-situ UK37-Temperature calibrations for mid-latitude Swiss lakes 

Lisa Marchand, Céline Martin, Nora Richter, Linda Amaral-Zettler, and Nathalie Dubois

Climate models are based on our understanding of the Earth climate system. To improve their accuracy, we rely on regional paleotemperature reconstructions, that can also be used to validate model outputs. Many existing paleoclimate proxies reconstruct mean annual or summer temperatures. Spring, which is essential for biodiversity and agricultural activities, is underrepresented, resulting in an incomplete perception of past climate, especially regarding seasonal variations. Lacustrine alkenones are lipid biomarkers that appear as a promising paleothermometer to quantitatively record spring temperatures in freshwater lakes. They are long chain ketones (35 to 42 carbons) with a varying number of double bonds (2 to 4) produced exclusively by the haptophyte phytoplankton in the Order Isochrysidales. These algae were found to respond to water temperature changes by altering relative proportions of the produced alkenones. The UK37 index has been extensively used to reconstruct sea surface temperatures in the past. Alkenone producing algae are divided into three major phylogenetic groups shaped largely by salinity. Among these groups, Group I dominate freshwater lakes, making them potential powerful tools for reconstructing continental spring temperatures. Alkenone seasonality was resolved in several studies conducted in high-latitude lakes which found alkenones occurring at the ice-off (spring-summer). The question arises regarding which seasonal temperatures are recorded by the UK37 index in mid latitude lakes? When other proxies show great uncertainty, three robust in-situ calibrations with low uncertainties were developed for the correlation of UK37 values to temperatures in high-latitude lakes. However, so far, no monitoring studies have been conducted in mid-latitude lakes, and no in-situ calibration has been established. Therefore, we conducted high-frequency monitoring of alkenone production in two Swiss lakes with very distinct settings for comparison: Greifensee (453masl, lowland and not ice-covered), and Lake St. Moritz (1768masl, alpine and ice-covered). The monitoring consisted in taking water samples over a full year on Greifensee, and from spring to summer in Lake St. Moritz, and retrieving sediment traps regularly to study alkenone deposition into the sediments in parallel with production in the water. We also collected environmental data such as salinity, nutrient contents, chlorophyll concentrations, temperature, and light radiation. We describe the seasonality of alkenone production in these two lakes and draw the first calibrations between the UK37 and temperature. The timing of alkenone production will be compared with variations in the environmental parameters to estimate the bloom drivers. With this work, we aim to establish a reliable continental spring temperature proxy. 

How to cite: Marchand, L., Martin, C., Richter, N., Amaral-Zettler, L., and Dubois, N.: Seasonality of Group I alkenone production and in-situ UK37-Temperature calibrations for mid-latitude Swiss lakes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1451, https://doi.org/10.5194/egusphere-egu26-1451, 2026.

EGU26-3374 | ECS | Orals | BG2.7

Towards quantifying Younger Dryas cooling in Europe using lipid biomarkers archived in lake sediments 

Chanamon Panbut, Pien Hendriks, Christine S. Lane, Stefan Engels, Dirk Sachse, Wim Z. Hoek, and Francien Peterse

The Younger Dryas (YD, 12,900-11,700 cal. yr BP) was a major abrupt cooling event caused by a slowdown of the Atlantic Meridional Overturning Circulation (AMOC), which sharply reduced heat transport in the Northern Hemisphere. However, the magnitude, temporal pattern and seasonality expression of the YD cooling across Europe remain difficult to constrain due to the lack of quantitative proxies and confounding factors on proxy responses. Here, we aim to reconstruct YD mean annual temperatures of months above freezing (MAF) using temperature-sensitive bacterial membrane lipids, so-called branched glycerol dialkyl glycerol tetraethers (brGDGTs), stored in lake sediments from Retournemer (eastern France) and Steisslingen (southern Germany). In both lakes, brGDGT-derived MAFs show only a minor cooling (~1-2C) during the YD, whereas more established GDGT-based proxies indicate a deeper oxic layer and shifts in lake microbial communities consistent with colder and windier conditions across Europe. As such, our brGDGT records confirm that most of the cooling was expressed during winters, in line with previously suggested seasonality patterns. Subsequent examination of the much less explored branched glycerol monoalkyl glycerol tetraethers (brGMGTs) that are characterized by an additional carbon–carbon bond between their alkyl chains reveals a stronger response during the YD in both lakes. However, translation to absolute temperature is hampered by their distinct composition from that in East African lakes on which the only currently existing transfer function is based. Regardless, our results show that brGMGTs have potential as indicators of YD cooling in future studies.

How to cite: Panbut, C., Hendriks, P., Lane, C. S., Engels, S., Sachse, D., Hoek, W. Z., and Peterse, F.: Towards quantifying Younger Dryas cooling in Europe using lipid biomarkers archived in lake sediments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3374, https://doi.org/10.5194/egusphere-egu26-3374, 2026.

EGU26-3820 | ECS | Orals | BG2.7

Understanding Microbial Lipid (GDGTs and 3-OH FAs) Responses Across Arctic Ecological Gradients 

Vishal Kumar, Biswajit Roy, Manish Tiwari, Meloth Thamban, and Prasanta Sanyal

Lipid biomarkers such as glycerol dialkyl glycerol tetraethers (GDGTs) and 3-hydroxy fatty acids (3-OH FAs) are widely used proxies for paleoenvironmental reconstruction. To evaluate their applicability in high-latitude environments, we analyzed samples from seven soil trenches collected at 5 cm intervals to a depth of ~40 cm, fifteen surface soils, and nine fjord sediments from the Ny-Ålesund region of Svalbard. The datasets were compared to assess the relative performance of lipid-based proxies under Arctic conditions. Soils from Svalbard display higher proportion of 6-methyl branched GDGTs compared to most global soils. Although the overall concentrations of branched and isoprenoid GDGTs are relatively low, likely due to the cold climate and short growing season. The microbial lipid derived pH proxy, performs reliably in extreme setting. In contrast, the temperature index, MBT′5ME values show substantial variability despite limited temperature variation, suggesting that temperature is not the sole factor affecting the lipid distribution. Depth-profile analyses of brGDGTs in moss-dominated soils reveal that moss-covered areas contribute significantly to brGDGT abundance. Moss-derived organic matter enhances bacterial activity and lowers the fungal-to-bacterial ratio within the microbial community. This interpretation is supported by stable carbon isotope (δ¹³C) and total organic carbon (TOC) data, which suggest that mosses are the primary source of organic carbon supporting brGDGT production. Overall, finding highlight the important role of moss cover in regulating microbial processes and GDGT distributions in Arctic soils, emphasizing the need to consider vegetation effects when applying lipid-based proxies in high-latitude paleoclimate reconstructions.

How to cite: Kumar, V., Roy, B., Tiwari, M., Thamban, M., and Sanyal, P.: Understanding Microbial Lipid (GDGTs and 3-OH FAs) Responses Across Arctic Ecological Gradients, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3820, https://doi.org/10.5194/egusphere-egu26-3820, 2026.

EGU26-7259 | Posters on site | BG2.7

Isotope dilution to enhance δD measurability in low-abundance n-alkane samples 

Rachel Lupien, Julian Traphagan, and Dieter Juchelka

Compound-specific stable isotope analysis (CSIA) of organic biomarkers enables reconstruction of past environmental and climatic conditions by resolving the isotope composition of individual molecular compounds. Among these applications, hydrogen isotope (δD) measurements of leaf wax n-alkanes are widely used to infer changes in hydroclimate, including variations in precipitation isotopic composition, moisture source, and evaporative conditions. Because long-chain n-alkanes are resistant to degradation and preserve a terrestrial signal in sedimentary archives, their δD values provide a robust proxy for past continental hydroclimate across a wide range of depositional settings.

Despite this utility, CSIA of organic biomarkers is frequently limited by the low abundance of target compounds, particularly in sedimentary archives where concentrations vary strongly across stratigraphy and compound class. This limitation is especially acute for δD measurements, which typically require injected analyte masses of several hundred nanograms to achieve acceptable precision on gas chromatography-isotope ratio mass spectrometry (GC-IRMS) systems. Because hydrogen isotope analysis relies on pyrolytic conversion to H2, δD measurements generally operate at lower absolute signal intensities than compound-specific δ13C analyses, placing them closer to instrumental sensitivity limits where background correction, baseline placement, and nonlinear response exert a proportionally greater influence on measured isotope ratios. As a result, δD analysis of individual low-abundance compounds is often precluded, necessitating pooled samples or coarse sampling intervals that suppress short-duration climate signals and limit the achievable resolution of paleoclimate reconstructions.

Here, we assess the feasibility, limitations, and uncertainty structure of isotope dilution (ID) for δD measurements of leaf wax n-alkanes using internationally recognized, isotopically characterized n-alkane standard mixtures. Isotope dilution offers a potential strategy to stabilize isotope measurements through controlled mixing of a low-abundance analyte with an isotopically characterized spike, thereby increasing the total amount of analyte contributing to the measurement and reducing uncertainty associated with low signal intensities. Controlled mixing experiments isolate the effects of nominal mixing ratio, isotope contrast between spike and sample, and signal intensity on back-calculated isotope values. These tests provide a framework for quantifying uncertainty propagation in ID-CSIA and for defining practical constraints on its application. Our results establish conditions under which isotope dilution can yield accurate and precise δD measurements for low-abundance compounds and provide methodological guidance for extending CSIA into concentration regimes that are otherwise analytically inaccessible, enabling higher-resolution paleoclimate reconstructions and expanding the range of sedimentary archives amenable to biomarker isotope analysis.

How to cite: Lupien, R., Traphagan, J., and Juchelka, D.: Isotope dilution to enhance δD measurability in low-abundance n-alkane samples, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7259, https://doi.org/10.5194/egusphere-egu26-7259, 2026.

The Tortonian stage (11.6–7.2 Ma) represents a warm interval preceding the Late Miocene Cooling (7.5–5.5 Ma), during which high-latitude temperatures exceeded modern values by up to ~17°C. Atmospheric CO2 reconstructions during the Tortonian are poorly constrained, with existing proxy records suggesting either high CO2 levels, reaching ~790 ppm at ~11 Ma (Mejia et al., 2017), or more moderate and relatively stable CO2 conditions.

Here, we present new high-latitude pCO2 reconstructions based on alkenone carbon isotopic fractionation (εp) from Ocean Drilling Program (ODP) Site 1088 in the subantarctic South Atlantic, covering the interval from 11.6 to 9.0 Ma. Combined benthic and bulk carbonate δ13C and δ18O records are used to identify the Tortonian thermal maximum and to guide targeted, higher-resolution sampling. Sea surface temperatures are reconstructed from alkenone Uk′₃₇ ratios using the Bayspline calibration (Tierney et al., 2018), and εp is calculated from compound-specific δ13C measurements of the C37:2  alkenone. The isotopic composition of dissolved inorganic carbon is estimated from planktonic foraminiferal (G. bulloides) δ13C, accounting for the temperature-dependent fractionation between DIC and aqueous CO2.

pCO2 concentrations are then reconstructed using a probabilistic εp model (Stoll et al., 2019) that explicitly incorporates coccolithophore cell size, growth rate, and light availability. Coccolith size and thickness distributions are quantified from circular polarized image analyses, while growth rates are inferred from temperature and nutrient availability.

How to cite: Santos, M., Wijker, R., and Stoll, H.: Reconstructing sea surface temperature and atmospheric CO₂ across the Tortonian using alkenone εp records from South Atlantic ODP Site 1088, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7288, https://doi.org/10.5194/egusphere-egu26-7288, 2026.

EGU26-7314 | ECS | Posters on site | BG2.7

Phylogenetic effects of alkenone unsaturation in cultured Group II and Group III haptophytes 

Addison Rice, Ismael Torres-Romero, Hongrui Zhang, Reto S. Wijker, Alexander J. Clark, Madalina Jaggi, and Heather M. Stoll

Certain haptophyte algae produce a recalcitrant suite of long-chain (C37-C39) methyl and ethyl ketones called alkenones. These compounds are widely applied in paleoclimate studies due the temperature sensitivity of the ratio of di- to tri- unsaturated alkenones, most commonly quantified in the UK’37 index. However, phylogenetic effects and other physiological effects can alter the intercept of the UK’37 relationship to temperature, complicating the application to past climates. Here we present results of two strains of Group II (brackish) and four strains of Group III (open marine) haptophytes batch cultured under different temperatures, light levels, and CO2 (aq) concentrations. One Group III strain was also continuously cultured in a turbidostat.

The alkenone response to temperature differs per strain, as has previously been found in culture studies. Additionally, when applying core top calibrations commonly used in paleoclimate studies, UK’37 consistently under-predicts batch culture growth temperature. We further find no systematic control on the offset between alkenone unsaturation calibrations from core top and expected values in batch culture for a given strain. When considering data from multiple strains, the offset from expected values in UK’37 and UK38Me, but not UK38Et, correlate to ratio of the alkenone concentration relative to particulate organic matter. In cells harvested with a higher proportion of alkenones relative to particulate organic carbon, this cold offset is diminished and temperature prediction for UK’37 and UK38Me is more consistent with core top calibrations.

In addition, we compare nutrient replete continuous culture results to batch culture of the same strain to assess if the alkenone unsaturation response to temperature similar.

How to cite: Rice, A., Torres-Romero, I., Zhang, H., Wijker, R. S., Clark, A. J., Jaggi, M., and Stoll, H. M.: Phylogenetic effects of alkenone unsaturation in cultured Group II and Group III haptophytes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7314, https://doi.org/10.5194/egusphere-egu26-7314, 2026.

EGU26-7602 | ECS | Posters on site | BG2.7

Sedimentary faecal biomarkers in European lakes: tracing land-use activity during the medieval agricultural revolution 

Tobias Schneider, Antony, G. Brown, Helen Mackay, Andreas Lang, Helena Hamerow, Ondřej Mottl, and Nathalie Dubois

Present-day biodiversity and landscapes in Europe reflect millennia of human influence. Particularly, the ‘medieval agricultural revolution’ marked large-scale movements of people, plants, and livestock, and major shifts in agricultural practices, coinciding with the Medieval Climate Anomaly. Understanding how this biodiversity emerged, and how it contributes to the resilience of socio-ecological systems is critical for future climate-adaptive land-use planning and management. Existing human-ecodynamic reconstructions are largely based on archaeological sites and mires, and therefore often lack the spatial representativeness beyond an individual site, continuous depositional archives, or the temporal resolution and ecological breadth needed to assess biodiversity, land-use history, and species vulnerability in detail.

The ERC synergy project “MEMELAND – Molecular Ecology of Medieval European Landscapes” addresses these gaps through an interdisciplinary multi-lake, multiproxy framework. As part of this project, we will investigate lake sediment records from 50 lake pairs across a latitudinal gradient in Europe. Each pair consists of one lake located near a high-status (elite) site and one “control” lake from a nearby area lacking direct archaeological evidence for medieval elite activity. Such baselines from nearby “pristine” lakes are rarely established but are essential for disentangling natural from anthropogenic drivers of change.

Here we present our faecal biomarker framework to reconstruct grazing and manuring intensity during the medieval period using sterols, stanols, and bile acids measured as concentrations and depositional fluxes. To improve source attribution, we are developing a diet-controlled livestock reference library that characterizes sterol/stanol and bile-acid fingerprints and diagnostic ratios under historically plausible feeding regimes. We further leverage MEMELAND’s sedaDNA component to benchmark biomarker-derived livestock inputs against taxonomically resolved signals of domestic animals and land-use indicators. In this complementary approach, faecal biomarkers constrain the magnitude of livestock input, while sedaDNA refines the source and ecological context.

We ask which faecal biomarkers and diagnostic ratios are most robust across heterogeneous European lake systems, whether paired-lake comparisons reveal consistent spatio-temporal contrasts in land use during the medieval period, and whether eutrophication trajectories track enhanced nutrient loading associated with grazing and manuring. Besides the sedaDNA data, biomarker results are further integrated with palynological proxies, hyperspectral imaging, geochemistry (µXRF), and chronostratigraphic approaches to identify and contextualize land-use signatures in sediment archives.

On our poster, we present an overview of this biomarker contribution to MEMELAND and look forward to discussing it with you.

How to cite: Schneider, T., Brown, A. G., Mackay, H., Lang, A., Hamerow, H., Mottl, O., and Dubois, N.: Sedimentary faecal biomarkers in European lakes: tracing land-use activity during the medieval agricultural revolution, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7602, https://doi.org/10.5194/egusphere-egu26-7602, 2026.

EGU26-9089 | Posters on site | BG2.7

Lipid Biomarkers Respond to Seasonal Blooms of Methane Oxidizing Bacteria in a Eutrophic Lake 

Lorenzo Cellino, Cindy De Jonge, Fatemeh Ajallooeian, Nathalie Dubois, and Nora Richter

Lakes are key components of global carbon cycling, accounting for 6-16 % of natural methane (CH4) emissions. Methane release from lakes is largely regulated by aerobic methane oxidizing bacteria (MOB), which oxidize up to 75% of the methane produced in lakes to CO2. Over the past two centuries, anthropogenic environmental change and climate forcing have led to rapid changes in lake systems including eutrophication and stronger stratification. The implications of these ongoing processes for MOB communities and the key methane sink they represent remains unclear. A deeper understanding of how MOB communities in lakes responded to systemic change in the past is essential for discerning their future dynamics. This highlights the need for a reliable biomarker that can track changes in MOB communities in lakes across timescales. The hopanoid bacterial membrane lipids, bacteriohopanepolyols (BHPs), exhibit specificity to MOB types and genera, therefore holding potential as biomarkers allowing us to track community assemblages. The peri-alpine lake Rotsee, located in central Switzerland, is a prime example of a monomictic eutrophic lake, making it an ideal study site to further understand and develop BHPs as biomarkers for MOB communities. Here we present initial results of a seasonal study of Rotsee where we used BHPs coupled with eDNA to investigate the MOB assemblages in the lake’s present-day water column, allowing us to ascertain how rapidly seasonally changing conditions affect MOB communities and the lipid biomarker assemblages they produce. We carried out intact polar lipid (IPL) extraction on suspended particulate matter (SPM) filtered from Rotsee’s 16-meter-deep water column at three-meter intervals and at the oxycline, from August 2025 to January 2026, and at two depths (surface and 15 meters) from May to December 2019. IPLs were measured on an Ultra High Precision Liquid Chromatography-Quadrupole-Orbitrap High-Resolution Mass Spectrometer (UHPLC-Orbitrap-HRMS). Genetic material was extracted from the SPM samples and sequenced targeting bacterial 16S rRNA. Preliminary results show that MOB-specific BHPs: aminotriol, aminotetrol, and aminopentol, are present in the Rotsee water column. The relative abundances of BHPs in the epilimnion remains low and steady during spring and summer but spike during lake overturn in November, whereupon most of the methane is released and oxidized after accumulation in the hypolimnion. 16S rRNA data indicates that the MOB communities are entirely made up of Gammaproteobacteria and match BHP seasonal trends with MOB-specific sequences being more abundant during overturn in the surface water. Additionally, surface waters in November are characterized by a higher abundance of aminopentol, which is scarcely found during spring and summer. Interestingly surface water 16S rRNA data also show that the MOB community compositions change considerably in November and December, shifting from Methylomonas to Methylobacter-dominated. Therefore, preliminary results show that BHP abundances respond to seasonal MOB blooms and show promise towards tracking seasonal community dynamics in eutrophic stratified lakes.

How to cite: Cellino, L., De Jonge, C., Ajallooeian, F., Dubois, N., and Richter, N.: Lipid Biomarkers Respond to Seasonal Blooms of Methane Oxidizing Bacteria in a Eutrophic Lake, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9089, https://doi.org/10.5194/egusphere-egu26-9089, 2026.

EGU26-9870 | Posters on site | BG2.7

Reconstruction of ancient land-use in the Orkhon Valley, Central Mongolia, by waste markers: phosphorous, sterol and bile acid analyses 

Inga Koch, Ramona Mörchen, Jan Bemmann, Susanne Reichert, and Wulf Amelung

The Mongol Empire (13th - 14th century CE) was the largest contiguous land empire in world history. However, it is not yet known how an urban lifestyle in its first capital Karakorum was sustained in the heart of the Mongolian steppe. One aspect of this is how food supply and subsequent delivery of raw materials was secured.

Therefore, we aimed at characterizing soil resources in Sarlag Tolgoi, an ancient settlement about 50 km northwest of Karakorum. We took samples of a transect through the settlement and reference samples of undisturbed soil, serving as control. We (i) analyzed these samples regarding their phosphorus concentration as waste marker and (ii) the sterol and bile acid concentration in cases where phosphorus levels were elevated, in order to reconstruct past settlement structures and the fingerprint they left on the surrounding environment.

We found a tenfold increase of phosphorus concentrations from 2 to 20 mg P kg-1 in the topsoil from the surrounding area compared to the soil within the settlement itself. This clearly supports the hypothesis of anthropogenic influence at this site. A closer examination of those samples with increased phosphorus concentration by sterol and bile acid analysis revealed hotspots of an ancient faecal input by grazing animals - mainly cattle and sheep - within the settlement. Furthermore, the applied ratio (epi-5β-stigmastanol/5β-stigmastanol + epicroprostanol/coprostanol) revealed no indication of faecal input from horses, whereas low proportions of coprostanol suggested limited human faecal input. Therefore, we suppose that horses and ditches for human waste were outside of the settlement area.

In conclusion, our results demonstrate that Mongolian steppe soils preserve ancient fingerprints of human settlement associated with the Mongol Empire, expressed through changes in both, their morphology, and chemical signature. These findings highlight the considerable potential of basic soil science approaches to refine and strengthen archaeological interpretations in this region. Moreover, complementary chemical analyses provide valuable insights into past lifeways and human-environmental interactions. While the unambiguous attribution of signals to specific historical periods remains challenging, future integration of compound-specific biomarker dating in the vicinity of archaeological findings holds strong promise for achieving more robust chronological resolution.

How to cite: Koch, I., Mörchen, R., Bemmann, J., Reichert, S., and Amelung, W.: Reconstruction of ancient land-use in the Orkhon Valley, Central Mongolia, by waste markers: phosphorous, sterol and bile acid analyses, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9870, https://doi.org/10.5194/egusphere-egu26-9870, 2026.

EGU26-10003 | ECS | Posters on site | BG2.7

Beyond microbes: mapping soil food web biodiversity via lipid fingerprinting 

Rahul Samrat and Wolfgang Wanek

Unlocking the functional complexity of soil ecosystems requires robust methods for characterizing the diverse communities residing within them. While phospholipid fatty acid (PLFA) analysis has long served as a standard tool for quantifying soil microbial community composition, it is inherently constrained by low taxonomic resolution and a historical bias toward bacteria and fungi, often obscuring the contributions of other critical soil organisms. To address this gap, intact polar lipid analysis offers potentially deeper and more detailed insight into the soil (micro)biome. Here, we present a comprehensive lipidomic reference library built from intact polar lipids extracted from pure isolates and individual species spanning the tree of life, including bacteria, archaea, fungi, protists, plants, and soil fauna to enable high-resolution, culture-independent biodiversity assessments.

Using reversed phase UPLC separation followed by dual-polarity, high-resolution Orbitrap MS/MS and molecular networking, we captured over 140,000 molecular features and organized them into approximately 10,000 molecular families. This library covers ~30 phyla and >50 lipid classes, extending the analytical window far beyond PLFA to include diverse glycerophospholipids, glycolipids, sphingolipids, and neutral lipids. Hierarchical analyses reveal distinctive lipidomic architectures across taxonomic levels, with over half of the detected compounds appearing exclusive to single phyla. Beyond standard microbial signals, we identified rich lipid fingerprints specific for faunal and protist groups (e.g., Arthropoda, Nematoda, Mollusca, Amoebozoa), plastid-associated glycolipids in photosynthetic lineages, and characteristic archaeal membrane compositions. Clustering these features yielded thousands of phylum-exclusive molecular families, providing candidate biomarkers with built-in signal redundancy.

As a proof-of-concept, we detected these signatures in heterogeneous soil samples, supporting the feasibility of the approach while highlighting the need for broader validation of potential biomarker families. These findings establish a path toward high-resolution lipid-based mapping of soil community composition and food-web structure, offering a powerful, functional complement to existing genomic and biochemical approaches.

How to cite: Samrat, R. and Wanek, W.: Beyond microbes: mapping soil food web biodiversity via lipid fingerprinting, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10003, https://doi.org/10.5194/egusphere-egu26-10003, 2026.

EGU26-11129 | ECS | Posters on site | BG2.7

A Workflow for Combining microscale Imaging Techniques in Paleoclimatology 

Yannick Zander, Weimin Liu, Lars Wörmer, and Kai-Uwe Hinrichs

Paleoclimatic and paleoenvironmental reconstructions rely on proxies derived from physical, chemical or biological properties of the investigated archive. In order to achieve the highest spatial (hundreds of micrometers), and thus temporal resolution (subannual), various imaging techniques, such as hyperspectral imaging, computed tomography, mass spectrometry imaging (MSI), X-ray, and µXRF can be employed. However, proxies generally respond to multiple environmental variables (e.g., the GDGT-based proxy CCat is influenced by both water column temperature and nutrient concentrations). Multi-proxy studies are necessary to obtain a comprehensive understanding of past conditions and to disentangle individual biogeochemical processes.

A major roadblock in multi-proxy studies is the alignment of data across multiple datasets since manual matching of ‘wiggles’ (1D time series) can be deceptive. With imaging data this issue can be avoided since data can be matched in 2D space. Moreover, RGB images are routinely obtained alongside each method. This provides a shared data layer between methods.

Not all imaging methods can be performed on the exact same sample slice, and MSI even requires multiple samples from the same core depth to cover multiple mass windows. Consequently, four aspects are taken into account in our proposed workflow: (I) subsamples need to be referenced back to the core; (II) datasets are obtained at different positions and can have vastly different resolutions; (III) samples may be distorted during sample preparation - so even two MSI measurements from the same sediment section at the same resolution cannot be mapped directly onto each other. And although these distortions are generally small, investigating seasonal variations requires consistency at the scale of hundreds of micrometers; (IV) after a transformation between images has been found, the data needs to be transformed (i.e., resampled). This requires interpolation, which can alter properties such as sparsity. Hence, interpolation targets as well as the interpolation methods need to be selected with care.

In this work, we present a workflow capable of semi-automatically combining image datasets from (sections of) sediment cores from any two imaging methods. Advanced methods for laminated sediments are also presented, as they are particularly suitable for fine-scale matching. With this workflow we aim to replace the tedious manual teaching point selection by providing robust image registration methods for routine multi-proxy studies on subannual scales.

How to cite: Zander, Y., Liu, W., Wörmer, L., and Hinrichs, K.-U.: A Workflow for Combining microscale Imaging Techniques in Paleoclimatology, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11129, https://doi.org/10.5194/egusphere-egu26-11129, 2026.

EGU26-11425 | Orals | BG2.7

New lipid-based proxies for past cyanobacterial abundance  

Nemiah Ladd, Antonia Klatt, Daniel Nelson, Jan Wälchli, Theresa Wietelmann, and Nathalie Dubois

Throughout the past century, eutrophication and climate change have strongly impacted temperate lakes, resulting in greater algal productivity and shifts in phytoplankton community composition. In many lakes cyanobacterial blooms have become more common, reducing water quality, negatively impacting aquatic food webs, and affecting the cycling of carbon and other nutrients. Appropriate management of aquatic systems to mitigate and avoid these problems is informed by monitoring data, but direct observations are often limited to recent decades. Paleolimnological approaches can extend the observational window and contextualize long-term changes of algal communities in response to climatic and environmental forcings. However, it remains challenging to reconstruct changes in algal productivity and community assembly, particularly the relative abundance of cyanobacteria to eukaryotic algae, throughout the geologic past.

Here, we present two recently developed lipid-based proxies that can be used to reconstruct broad shifts in algal community composition: (1) the Phytol:Sterol Index (PSI), which represents the relative abundance of the chlorophyll side-chain, phytol, to phytosterols from eukaryotic algae and (2) hydrogen isotope offsets between phytol and the common membrane lipid C16 fatty acid (δ2HC16:0 Acid/Phytol), which is higher for lipids produced by cyanobacteria and green algae than for other eukaryotic algae. We demonstrate the utility of these proxies in a collection of short sediment cores from lakes in the Swiss Plateau (Murtensee, Greifensee, and two hydrologically distinct basins of Zugersee), all of which experienced extreme eutrophication in the mid- to late 20th century, followed by partial recovery to lower nutrient levels. We found significant changes in lipid distributions coincident with the main period of increasing total phosphorus inputs. During this time, PSI increased in all four lake records, indicating that more of the algal biomass accumulating in the sediments was derived from cyanobacteria. In Murtensee, PSI and δ2HC16:0 Acid/Phytol co-varied, while in Greifensee the initial increase in cyanobacteria was followed by a period of low PSI and high δ2HC16:0 Acid/Phytol values, consistent with observations of abundant green algae during this later period.

We cross-compared our lipid biomarker data with cyanobacterial and plastid 23S rRNA amplicon sequencing variants (ASVs) of DNA extracted from the cores. In general, there was good agreement between PSI and the abundance of cyanobacterial ASVs. However, during periods when the cyanobacterial DNA was primarily from small-celled taxa such as Synechococcus, such as the early 20th century in Murtensee, PSI was low relative to the abundance of cyanobacterial ASVs. This suggests that small but numerous cyanobacteria might be overrepresented in sedimentary DNA relative to their biomass, likely related to the polyploidy of their chromosomes.

Overall, sedimentary PSI appears to be a robust and analytically straight-forward indicator of cyanobacterial abundance. Due to the greater mass of phytol needed for δ2H measurements, chromatographical challenges can limit the application of δ2HC16:0 Acid/Phytol in some sediments, such as those from Zugersee. The combination of these new lipid-based proxies with other tools, including sedimentary DNA, pigments, and microfossil analyses can provide the most comprehensive picture of past algal community composition.

How to cite: Ladd, N., Klatt, A., Nelson, D., Wälchli, J., Wietelmann, T., and Dubois, N.: New lipid-based proxies for past cyanobacterial abundance , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11425, https://doi.org/10.5194/egusphere-egu26-11425, 2026.

EGU26-11753 | ECS | Orals | BG2.7

South Asian monsoon response to the ~74 ka Toba super-eruption revealed by µm-scale imaging on Arabian Sea sediment 

Jinheum Park, Weimin Liu, Lars Wörmer, Enno Schefuß, Andreas Lückge, Jenny Altun, Heidi Taubner, Kai-Uwe Hinrichs, and Igor Obreht

As the largest volcanic eruption in the Quaternary period, the ~74 ka Toba super eruption’s impact on the global heat budget and monsoon systems has been prominently debated. Despite particular focus on its consequences in India as one of the key regions of early modern human dispersal — ranging from catastrophic to minimal — high-resolution proxy evidence from geological archives that empirically support the claims has been scarce. In this study, we trace pre- and post-Toba monsoonal dynamics from a finely laminated sedimentary section from the Arabian Sea that brackets Toba tephra as an event marker of the eruption. The sediment core SO130-289KL was retrieved from the northeastern margin of the Arabian Sea outside of the upwelling zone (Sindh continental margin), at a water depth of 571 m, which today lies within the oxygen minimum zone (OMZ). The site is sensitive to both monsoon seasons, as the South Asian summer monsoon controls sedimentary dynamics, whereas the wind strength of the winter monsoon primarily influences the sea surface temperatures (SSTs). Thus, the sediment core sensitively records the evolution of South Asian summer and winter monsoons. In order to reconstruct the regional climatic response to Toba at near-annual resolution, we produced time-series data of elemental and SST variations using µm-scale measurements (100–200 µm resolution) by x-ray fluorescence (µXRF) scanning and mass spectrometry imaging (MSI) techniques, respectively. The µXRF elemental data trace terrestrial components primarily sourced by runoff from the summer monsoon, which are complemented by the glycerol dialkyl glycerol tetraether-based SST calculations from MSI that are affected by OMZ intensity. On the other hand, the alkenone measurements from MSI more sensitively trace SST variations that are primarily governed by the winter monsoon. Supplemented by conventional biomarker and stable hydrogen and carbon isotope measurements, which trace precipitation and vegetation dynamics over the Indus River catchment, respectively, our multi-proxy data contribute to a better understanding of the impact that the Toba eruption had on the regional climate, environment, and eventually, contemporaneous humans.

How to cite: Park, J., Liu, W., Wörmer, L., Schefuß, E., Lückge, A., Altun, J., Taubner, H., Hinrichs, K.-U., and Obreht, I.: South Asian monsoon response to the ~74 ka Toba super-eruption revealed by µm-scale imaging on Arabian Sea sediment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11753, https://doi.org/10.5194/egusphere-egu26-11753, 2026.

EGU26-12957 | ECS | Posters on site | BG2.7

Intact polar lipids as biomarkers for nitrogen fixation and nitrification in European soils  

Franz Philip Kerschhofer, Nora Richter, Dajana Radujković, Erik Verbruggen, M. Angeles Muñoz-Martín, Elvira Perona, Yolanda Cantón Castilla, Thorsten Bauersachs, Su Ding, and Cindy De Jonge

Rising atmospheric CO2 levels are enhancing primary production, which could result in higher carbon sequestration in biomass (C-fixation). This higher primary productivity, however, relies on a sustained supply of soil nutrients, particularly nitrogen (N). To understand whether climate change and rising CO2 levels have an impact on soil nitrogen availability on centennial to millennial timescales, a geological perspective can be used. For instance, the glacial-interglacial warming, and Holocene warm periods provide valuable natural analogues for investigating these long-term interactions. However, currently no quantitative methods exist to reconstruct soil nitrogen availability through time. To address this, we propose to develop novel proxies based on lipid biomarkers for essential processes in the soil N-cycle.

In aquatic systems, microbial membrane lipids are well established as biomarkers for specific steps in the N-cycle: for instance, heterocyte glycolipids (HGs), produced by heterocytous cyanobacteria, indicate biological nitrogen fixation. Further, microbial intact polar lipids (IPL), isoprenoid glycerol dialkyl glycerol tetraethers (isoGDGTs) and bacteriohopanepolyols (BHPs) are promising proxies for archaeal ammonia oxidation and bacterial nitrite-oxidation, respectively. We propose to test for these N-cycle biomarkers in soils. A pilot sample set of European surface soils was selected, consisting of both N-limited (N-) dryland (n = 8) and N-replete (N+) grassland soils (n = 4). Lipid extracts were analysed by UHPLC-HRMS to generate a high-resolution dataset of the complete lipidome. As a first step in the proxy development, we here present the BHP composition and changes in their relative distribution between in N- and N+ soils.

A total of 47 different BHPs were tentatively identified. In all samples, hydroxy BHPs are predominant components (50-60%). BHtetrol (BHT) is most abundant and all samples contain BHpentol and BHhexol. Amino-BHPs are less abundant in N- soils compared to N+ (2-7%; 10%). For example, aminotriol BHP is relatively increased in N+ soils. A total of 22 nucleoside BHPs were identified with either an adenine (adenosylhopanes) or inosine (inosylhopanes) headgroup that differ in amount and position of methylation on the BHP core or in the headgroup structure. Adenosylhopanes are relatively more abundant in N- than N+ soils (N-: 40-45%, N+: 20%). Inosylhopanes are present at a lower abundance, with 0-5% in N- and up to 10% in N+ soils. Based on changes in their occurrence, four adenosylhopanes and two inosylhopanes are tentatively proposed as N-cycle biomarkers. Specifically, three adenosylhopanes (diMe-adenosylhopane, diMe-adenosylhopane-headgroup-Me, Me-adenosylhopane-headgroup-diMe) and one Me-inosylhopane are exclusively found in N- soils. Likewise, an early adenosylhopane-headgroup-Me and an inosylhopane-headgroup-diMe only occur in N+ soils.

These results highlight the potential N-cycle lipid biomarkers in soils. The occurrence of other potential biomarkers (isoGDGTs, HGs) for the N-cycle will be tested for on the same soils. Moreover, we will apply an untargeted approach via computational MS to comprehensively characterize the whole soil microbial lipidome and evaluate the suite of potential lipid biomarkers associated with nitrogen cycling.

How to cite: Kerschhofer, F. P., Richter, N., Radujković, D., Verbruggen, E., Muñoz-Martín, M. A., Perona, E., Cantón Castilla, Y., Bauersachs, T., Ding, S., and De Jonge, C.: Intact polar lipids as biomarkers for nitrogen fixation and nitrification in European soils , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12957, https://doi.org/10.5194/egusphere-egu26-12957, 2026.

EGU26-17006 | ECS | Orals | BG2.7

Increased typhoon activity led to higher land-to-sea organic carbon export in the deglacial northwest subtropical Pacific: Insights from lipid biomarkers and sediment geochemistry 

Pierrick Fenies, Sze Ling Ho, Maria-Angela Bassetti, Natalia Vazquez Riveiros, Jens Hefter, Yuan-Pin Chang, Ludvig Löwemark, Nathalie Babonneau, Gueorgui Ratzov, Shu-Kun Hsu, and Chih-Chieh Su

The evolution of typhoon activity in Taiwan at glacial-interglacial timescales remains poorly constrained, as modelling past typhoon trajectories is challenging and terrestrial archives rarely extend beyond the Holocene due to high erosion rates. However, the land-to-sea transfer of terrestrial material is mainly controlled by typhoons, with more than 75% of the annual flux occurring within less than 1% of the year. Particulate organic carbon (POC) transferred during typhoon-induced floods represents 77 to 92% of the annual biospheric (vegetation- and soil-derived) POC flux. Consequently, investigating changes in the flux of biospheric terrestrial POC in marine sediments off eastern Taiwan, where rivers connect directly to the canyon regardless of the relative sea-level due to the absence of a broad continental shelf, provides an opportunity to assess past variations in typhoon activity.

At this end, we analyzed lipid biomarkers together with sedimentological and geochemical parameters from a sediment core collected offshore eastern Taiwan. Coarser grain sizes, higher TOC, long chain n-alkanes and soil-derived brGDGTs (IIIa/IIa < 0.59) accumulation rates during the deglaciation relative to the Holocene indicate substantially enhanced land-to-sea carbon transport linked to more frequent and/or more energetic turbidity activity. In addition, higher CPI values and reduced age offsets between planktonic foraminifera and bulk organic matter radiocarbon dating over the same interval point to a larger fraction of biospheric terrestrial POC transfer to the marine sediments compared to the Holocene. Together, these results point to an enhanced typhoon activity affecting Taiwan during the deglaciation, in agreement with recent model simulations indicating a higher typhoon genesis potential at that time. Given the difficulties in simulating past typhoon activity in Taiwan, or in recording it from terrestrial archives, our approach provides an alternative way to constrain past changes in typhoon activity affecting the island. This also raises the possibility that, if typhoon activity affecting Taiwan were to increase due to a northward shift in typhoon pathways as projected under ongoing global warming, the eastern margin of Taiwan could turn into a carbon sink.

How to cite: Fenies, P., Ho, S. L., Bassetti, M.-A., Vazquez Riveiros, N., Hefter, J., Chang, Y.-P., Löwemark, L., Babonneau, N., Ratzov, G., Hsu, S.-K., and Su, C.-C.: Increased typhoon activity led to higher land-to-sea organic carbon export in the deglacial northwest subtropical Pacific: Insights from lipid biomarkers and sediment geochemistry, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17006, https://doi.org/10.5194/egusphere-egu26-17006, 2026.

EGU26-17016 | ECS | Orals | BG2.7

 Environmental and ecological change across Angkor’s transition inferred from untargeted molecular fingerprints 

Weimin Liu, Yanming Ruan, Enno Schefuß, Ainara Sistiaga, Thorfinn Sand Korneliussen, Nicolaj Krog Larsen, Abigail Daisy Ramsøe, Anthony Ruter, Marie-Louise Siggaard-Andersen, Fabrice Demeter, Chea Socheat, Christoph Pottier, Kurt Kjaer, Kai-Uwe Hinrichs, Eske Willerslev, and Lars Wörmer

Angkor was the capital of the Khmer Empire during approximately 9th to 15th CE. It relied on a sophisticated water management system to sustain a vast low-density urban population. For the last two decades, the decline of Angkor has been linked to hydroclimatic instability in combination with infrastructural failure. Recent archaeological evidence suggests that the decline of elite occupation within the civic-ceremonial core may have begun earlier, resulting from additional social, political, or economic drivers. Understanding the timing and potential causes of such changes is crucial for assessing the vulnerability of complex urban systems.

Sedimentary molecular biomarkers can provide insights into paleoenvironmental and anthropogenic changes. In particular, untargeted molecular fingerprinting is not constrained by predefined compound lists and analyzes thousands of molecular features simultaneously. This enables the detection of complex and overlapping source inputs and facilitates the identification of broader molecular shifts potentially associated with changing land use, ecosystem functioning, and anthropogenic activity.

Here we apply an untargeted molecular fingerprinting framework using comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC×GC-TOFMS) to characterize sedimentary organic matter in lipid extracts from a sediment core retrieved from a pond inside the temple of Angkor Wat. GC×GC substantially increases chromatographic resolution and enables the detection of thousands of chemical features without a priori hypotheses and is thus suitable for the untargeted analyses. We investigate temporal shifts in molecular composition across the Angkorian and post-Angkorian periods to evaluate changes in organic matter inputs, microbial processing, and water quality, and discuss their implications for changes in urban land use and occupation patterns at the temple complex.

How to cite: Liu, W., Ruan, Y., Schefuß, E., Sistiaga, A., Korneliussen, T. S., Larsen, N. K., Ramsøe, A. D., Ruter, A., Siggaard-Andersen, M.-L., Demeter, F., Socheat, C., Pottier, C., Kjaer, K., Hinrichs, K.-U., Willerslev, E., and Wörmer, L.:  Environmental and ecological change across Angkor’s transition inferred from untargeted molecular fingerprints, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17016, https://doi.org/10.5194/egusphere-egu26-17016, 2026.

EGU26-17853 | ECS | Posters on site | BG2.7

Assessing sedimentary proxies to reconstruct the occurrence and extent of harmful algal blooms 

Theresa Wietelmann, Daniel B. Nelson, Mainak Dutta, Nancy Leon, Douglas Wood, Christopher Scholz, Elizabeth Thomas, and Sarah Nemiah Ladd

During the recent decades, human activity led to vast and rapid changes in algal communities through pollution, alteration of catchment areas and climate change. As a consequence of such stressors, lake conditions can offer favourable conditions for the formation of harmful algal blooms (HABs) of cyanobacteria. The rise of bloom-forming taxa and toxin-producing taxa are threatening ecosystem services provided by lakes. Understanding the dynamic nature of algae and these stressors is crucial for developing effective mitigation strategies to preserve or potentially restore the integrity of aquatic ecosystems. Monitoring data is limited to a relatively recent period and thus sedimentary proxies facilitating the reconstruction of past cyanobacteria abundances are necessary to provide historical context for modern observations.

Recently, the phytol:sterol index (PSI), which corresponds to the ratio of phytol (produced by all algae including cyanobacteria) and specific phytosterols (produced only by eukaryotic algae) was proposed as a proxy for the relative abundance of cyanobacteria within the overall algal community (Klatt et al., 2025). Here, we aim to test the suitability of the PSI alongside other emerging sedimentary proxies to record cyanobacteria abundances and the abundance of HABs. To this end, we extracted short cores covering the past ~250 years from two of the Finger Lakes, Owasco and Skaneateles, in Upstate New York (USA) using a universal coring system in spring 2024. While Owasco Lake has experienced progressive eutrophication since the 1960s, nearby Skaneateles Lake with a much smaller watershed to lake surface area ratio remains oligotrophic. HAB occurrences in Owasco began several years before Skaneateles, but since 2017, HABs have occurred in both lakes, with greater prevalence in Owasco.

Bulk sediment analyses (% total organic carbon, C/N ratios) indicate an increase of algae productivity coinciding with the reported progressive eutrophication of Owasco Lake, while Skaneateles Lake shows rather stable conditions. This stability is also reflected in the PSI, which is about 0.25 in Skaneateles Lake throughout our record, indicating relatively low abundance of cyanobacteria. In Owasco Lake, on the other hand, PSI values reveal a marked increase to 0.45 after ~1950, consistent with a shift in community composition towards Cyanobacteria mid-20th century. We compare these results to compound-specific hydrogen isotope measurements of fatty acids and phytol, and the offsets between them, to further distinguish ecological changes in the lakes. Finally, we use sedimentary DNA (sedDNA) metabarcoding to validate our lipid data by assessing changes in the phytoplankton community and to identify the presence of bloom forming taxa. Overall, the combined results of our proxies are in accordance with observations, and further extend our knowledge of algal community composition prior to the monitoring period. This emphasises the potential of this proxy and the strength of multiproxy approaches.

 

Klatt, A., De Jonge, C., Nelson, D.B., Reyes, M., Schubert, C.J., Dubois, N., Ladd, S.N., 2025. Algal lipid distributions and hydrogen isotope ratios reflect phytoplankton community dynamics. GCA 394, 205–219. https://doi.org/10.1016/j.gca.2025.02.013

How to cite: Wietelmann, T., Nelson, D. B., Dutta, M., Leon, N., Wood, D., Scholz, C., Thomas, E., and Ladd, S. N.: Assessing sedimentary proxies to reconstruct the occurrence and extent of harmful algal blooms, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17853, https://doi.org/10.5194/egusphere-egu26-17853, 2026.

EGU26-18675 | ECS | Orals | BG2.7

Source-to-sink controls on lipid biomarkers and temperature signals in the Atlantic Iberian margin 

Nadee U.Nanayakkara, Clayton R. Magill, Cindy De Jonge, Timothy Eglinton, Reto S. Wijker, Heather Stoll, David Hodell, Francisco J. Sierro, and Blanca Ausin

Lipid biomarkers preserved in marine sediments provide powerful tools for reconstructing past climate and environmental change. However, their interpretation critically depends on understanding the processes governing their production, transport, and preservation, as different water-column processes can substantially modify the environmental signals transferred to sedimentary archives. This study investigates four different lipid biomarkers (long-chain fatty acids [LCFA], n-alkanes, alkenones, and glycerol dialkyl glycerol tetraethers [GDGTs]) at three key stages of their source-to-sink pathway: production, transport in the water column, and deposition and preservation in surface sediments to shed light on their controlling processes factors. A particular focus is placed on tracking sea surface temperature (SST) signals encoded in some of these lipids at each key stage, thereby refining the current framework for biomarker-based paleotemperature reconstruction in the study region.

We collected suspended particulate matter from six southwest Iberian Margin stations (JC089 cruise, August 2013) using in situ filtration pumps yielding 38 samples (~1188 L on average per sample) from surface to ~3000 m depth at discrete fluorescence and turbidity maxima. Surface sediments from the same locations and 25 additional core-top samples were also analyzed. LCFA, n-alkanes, and alkenones were quantified using GC-FID, while GDGTs were analyzed by HPLC. Associated SSTs were reconstructed using the Uk′₃₇ and TEX₈₆ indices, with Bayesian calibrations applied to both proxies.

In the water-column, concentrations of terrestrial lipids (n-alkanes and LCFA) are highest in the upper photic zone with no clear onshore–offshore trend, reflecting mixed atmospheric and riverine inputs. Alkenones are predominantly found in nearshore waters within the photic zone and decrease in concentration with distance offshore, reflecting in situ production linked to primary productivity. Elevated GDGT concentrations are found above ~2000 m within the warm, saline, and relatively turbid Mediterranean Outflow Water (MOW). While this distribution suggests some lateral transport, the absence of alkenones at these depths points to substantial in situ GDGT production.

Both alkenone (12.6–22.3 °C) and GDGT-derived SSTs (14.6–20.0 °C) exhibit a cold bias relative to surface CTD measurements in the water column. A similar cold bias is observed in surface sediments, where reconstructed SSTs (15.7–19.0 °C for alkenones; 14.6–19.2 °C for GDGTs) are lower than World Ocean Atlas annual mean values. We attribute these differences to variations in production depth and seasonal bias and furthermore rule out a significant influence from terrestrial GDGT input or riverine nutrients.

Future application of compound-specific radiocarbon and stable isotope analyses (δ¹³C, δ²H) on alkenones will further strengthen the mechanistic link between modern lipid cycling and paleoenvironmental reconstructions.

How to cite: U.Nanayakkara, N., R. Magill, C., De Jonge, C., Eglinton, T., S. Wijker, R., Stoll, H., Hodell, D., J. Sierro, F., and Ausin, B.: Source-to-sink controls on lipid biomarkers and temperature signals in the Atlantic Iberian margin, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18675, https://doi.org/10.5194/egusphere-egu26-18675, 2026.

EGU26-19917 | Orals | BG2.7

Development of a global lacustrine temperature calibration based on 3-hydroxy fatty acid membrane lipids 

Sai Ke, Pierre Sabatier, Christelle Anquetil, and Arnaud Huguet

Lakes play an important role in paleoclimate studies as they archive high-resolution and continuous records. However, the climatic proxies developed for lake settings are limited. Among all, the lipid biomarkers have been widely studied, as they are ubiquitously distributed and efficiently carry environmental information. One prominent example is the branched glycerol dialkyl glycerol tetraethers (brGDGTs), produced by bacteria, use to quantitatively reconstruct the temperature and pH based on lake sediment. However, due to the influence of confounding factors and not fully determined producer species, temperature reconstruction based on brGDGTs could yield uncertainties as large as 4°C. Having complementary and independent temperature proxies appears to be essential.

3-hydroxy fatty acids (3-OH FAs) were recently proposed as temperature and pH proxies in soils and may hold the potential to be also applied to lakes. These compounds are membrane lipids produced by Gram-negative bacteria. Similar to brGDGTs, their distribution was related to environmental variables. To date, 3-OH FAs were mainly investigated in soils [1] with only 3 studies, all in the Chinese region, in lakes. A linear correlation between some of the 3-OH FA isomers (i.e. the Ratio of Anteiso-C13 to Normal-C13  ̶   RAN13)and mean annual air temperature (MAAT) was observed in Chinese lakes  [2]. In contrast, we did not observe such a correlation in 52 lake sediments of the French Alps and 20 lakes of Southern Chile [3]. This suggests that the relationship between MAAT and 3-OH FA distribution in lakes is complex and cannot be systematically reflected by a linear correlation. Nevertheless, this relationship needs to be further investigated using additional samples from all over the world.

This study aims to present the first global analysis of lacustrine 3-OH FAs and their relationship with MAAT. In addition to first studies, we analyzed these lipids in 220 lakes distributed worldwide over a large range of latitude and elevation, with MAATs ranging from -14.2°C to 27.7°C. Principal Component Analysis (PCA) was first applied to the whole dataset (220 lakes) to investigate the changes in 3-OH FA distribution with location. In addition, both linear (including the RAN13 index) and non-linear models (based on machine learning algorithms) are currently used to examine the relationship between 3-OH FA distribution and MAAT. This will bring new insights into the applicability of the 3-OH FAs as lacustrine temperature proxies at the global scale. 3-OH FAs could then be applied to paleotemperature reconstructions from lake sediment cores, complementarily of and independently from existing proxies such as brGDGTs.

References: [1] Véquaud et al. (2021). Biogeosciences 18, 3937-3959. [2]Yang et al. (2021). Org. Geochem. 160, 104277. [3] Ke et al., Org Geochemistry, under revision.

How to cite: Ke, S., Sabatier, P., Anquetil, C., and Huguet, A.: Development of a global lacustrine temperature calibration based on 3-hydroxy fatty acid membrane lipids, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19917, https://doi.org/10.5194/egusphere-egu26-19917, 2026.

EGU26-20044 | Posters on site | BG2.7

Biomarker record in the Hupo Trough of the southwestern East Sea since the late Pleistocene 

Yu-Hyeon Park and Boo-Keun Khim

The East Sea, located on the northwest continental margin of the Pacific Ocean, acts an important marine environment sensitive to the global/regional climate change including the East Asian monsoon. GDGT (glycerol dialkyl glycerol tetraether), one of the membrane lipids originated from archaea or bacteria, has been broadly used as a ubiquitous biomarker for the paleoceanogprahic reconstruction. Although the numerous paleoceanographic results in the East Sea have been reported, the GDGT records and its application to the East Sea paleoceanography are still limited. In this study, we reconstructed the late Pleistocene seawater temperatures using hydroxylated and isoprenoid GDGTs using a sediment core 19ESDP-101 from the Hupo Trough of the southwestern East Sea (Japan Sea). Several temperature proxies were compared, alongside additional GDGT-derived indices and mean grain size. The temperature proxies yielded broadly consistent temperatures during the warm periods, but diverged in cooler intervals, where RI-OH′ values decreased sharply. These discrepancies reflect the different sensitivity to temperature, salinity, and depositional conditions. Proxy-derived temperatures were inversely correlated with sediment grain size, implying linkage between hydrographic and depositional environments. During the glacial periods, coarse-grained particles, low TEX86L values, and high terrestrial input were correlated, suggesting the sea-level control on environmental conditions. Nevertheless, the integration of multiple GDGT proxies from core 19ESDP-101 highlights the significance of local oceanographic settings in paleoenvironmental reconstruction and supports the selective use of TEX86L and OH-GDGTs.

How to cite: Park, Y.-H. and Khim, B.-K.: Biomarker record in the Hupo Trough of the southwestern East Sea since the late Pleistocene, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20044, https://doi.org/10.5194/egusphere-egu26-20044, 2026.

EGU26-20214 | Orals | BG2.7

Back to alkenone sources: molecular profiling of alkenone-producing Isochrysidales in Swiss lakes using targeted DNA amplicon sequencing  

Céline Martin, Lisa Marchand, Nora Richter, Nathalie Dubois, and Linda Amaral-Zettler

Paleoclimate records play a crucial role in improving the performance of climate models by enhancing our mechanistic understanding of climate dynamics and providing an independent framework for evaluating model simulations through model–data comparisons. However, for such comparisons to be successful, reliable climate reconstructions are required, particularly with respect to their seasonal sensitivity. To achieve this, we need robust proxies supported by a solid mechanistic understanding.

In this work, we aim to provide a solid foundation for the use of the lacustrine alkenone paleothermometer in mid-latitude freshwater lakes. Alkenones are temperature-sensitive molecules produced by haptophyte algae from the order Isochrysidales. The alkenone unsaturation degree has been linked to temperature and has been widely used to reconstruct past sea surface temperatures. Alkenones are also present in lakes, although they do not occur in all lakes. In freshwater lakes, alkenone-producing Isochrysidales belong to a phylogenetically distinct group compared to those found in saline lakes and marine environments. Previous work on Swiss lakes has shown that alkenones are relatively common in mid-latitude European lakes, are produced between ice-out and the establishment of lake stratification, and record water temperature, as found in high-latitude lakes. However, this group remains poorly characterized, particularly regarding its life cycle and genetic diversity, which limits our understanding of the lacustrine alkenone proxy in freshwater lakes.

To address these knowledge gaps, we monitored two Swiss lakes, Lake St. Moritz, an alpine lake, and Lake Greifen, a lowland lake, by combining alkenone characterization with DNA sequencing of small subunit (18S), internal transcribed spacers (ITS 1 and ITS2) and large subunit ribosomal RNA (5.8S and 28S) marker genes targeting Isochrysidales. Using this approach, we aim to: (i) refine the identification of the Isochrysidales present in both lakes; (ii) characterize the temporal dynamics of the Isochrysidales community in terms of structure and abundance throughout the bloom period; (iii) identify the life cycle stage during which alkenones are produced; and, (iv) determine the environmental controls on the Isochrysidales bloom timing.

How to cite: Martin, C., Marchand, L., Richter, N., Dubois, N., and Amaral-Zettler, L.: Back to alkenone sources: molecular profiling of alkenone-producing Isochrysidales in Swiss lakes using targeted DNA amplicon sequencing , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20214, https://doi.org/10.5194/egusphere-egu26-20214, 2026.

EGU26-20912 | ECS | Posters on site | BG2.7

Holocene temperature and environmental reconstruction from Llanos de Moxos in western Amazon based on GDGTs 

Petter Hällberg, Umberto Lombardo, Giovanni Manzella, Enno Schefuß, Thomas Stevens, and Francien Peterse

The Holocene temperature history of the lowland Amazon Basin remains poorly constrained, even though the region plays a key role in global climate, carbon cycling, and biodiversity. We present a Holocene record of glycerol dialkyl glycerol tetraethers (GDGTs) from a lake sediment core in the westernmost Amazon Basin, Bolivia, providing new constraints on regional temperature evolution and lake environmental conditions. The brGDGT based temperature reconstruction reveal a low amplitude, gradual warming trend throughout the Holocene. This pattern is consistent with other terrestrial records from tropical South America but contrasts with compiled tropical and global temperature reconstructions that suggest more pronounced early to mid-Holocene warmth followed by cooling. Our results therefore support the hypothesis that Holocene temperature evolution in tropical South America was distinct from that of other low latitude regions and from the global mean, highlighting the importance of regional climate dynamics and land surface feedbacks in shaping tropical climate trajectories.

In addition to temperature, GDGT distributions indicate four distinct phases of changing lake conditions over the Holocene, characterized by shifts in productivity and bottom water redox conditions. These variations likely reflect changes in local landscape development and catchment processes, as well as alterations in wind driven lake mixing. The most recent interval shows signatures consistent with enhanced productivity which may be linked to human activity in the catchment.

Together, these results provide new insights into the long-term temperature history of the western Amazon Basin and demonstrate the value of GDGTs for simultaneously reconstructing regional climate trends and lake environmental change in tropical lowland settings.

How to cite: Hällberg, P., Lombardo, U., Manzella, G., Schefuß, E., Stevens, T., and Peterse, F.: Holocene temperature and environmental reconstruction from Llanos de Moxos in western Amazon based on GDGTs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20912, https://doi.org/10.5194/egusphere-egu26-20912, 2026.

EGU26-1981 | ECS | PICO | GM4.4

Archeological Prospection Using Multiple Geophysical Methods: An example from SW Taiwan 

Ching-Li Kuo, Hung-Yu Wu, Ruey-Juin Rau, Wei-Chung Han, Cheng-Feng Wu, Ting-Yu Liu, and Shu-Yi Chou

Ground-penetrating radar (GPR) provides high-resolution imaging for shallow archaeological prospection, but its effectiveness is greatly reduced in the conductive, clay-rich alluvium of southwestern Taiwan—especially when exploring Neolithic cultural layers with low electrical impedance contrast between the archaeological targets and surrounding sediments. To overcome this challenge, we conducted an integrated geophysical study at the eastern sector of the Sanmin Road Neolithic site in Tainan, Taiwan. Our approach combines GPR attribute analysis, microtremor analysis, and electrical/gamma-ray borehole logging to understand subsurface stratigraphy and delineate the geometry of the potential cultural horizon. The survey investigated a channel–floodplain transitional environment hosting a Mid-Neolithic cultural layer (ca. 4,000 BP). We observed a strong link between GPR attributes—particularly energy and similarity—and Horizontal-to-Vertical Spectral Ratio (HVSR) resonance peaks, both in depth and lateral continuity of the horizon. Borehole data validated these findings, with core lithology and recovered pottery sherd confirming the stratigraphic and cultural context. The mapped horizon shallows toward the northeast and correspondingly deepens toward the northwest, with subbottom depths between 4.5 to 6.0 meters, and some localized anomalies immediately above this horizon may indicate recent human activities. By combining multiple geophysical methods, our results characterize the geometry, physical properties, and stratigraphy of the interpreted cultural layer. This integrated geophysical framework substantially improves the reliability of studying cultural layers under challenging geological settings, providing a solid basis for planning heritage excavation, preservation, and management.

How to cite: Kuo, C.-L., Wu, H.-Y., Rau, R.-J., Han, W.-C., Wu, C.-F., Liu, T.-Y., and Chou, S.-Y.: Archeological Prospection Using Multiple Geophysical Methods: An example from SW Taiwan, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1981, https://doi.org/10.5194/egusphere-egu26-1981, 2026.

EGU26-3587 | ECS | PICO | GM4.4

Portable OSL supported OSL-dating of sediment accumulation and agricultural hinterland development in the southwestern Jerusalem Highlands, Israel 

Noa Salomons, Joel Roskin, Gala Faershtein, Naomi Porat, Jamie Tiano, and Ahuva Sivan Mizrachi

Portable (port-) OSL profiling and absolute OSL dating enables relative and absolute age acquisition of dry agricultural terrace sediment fill that is understood to usually reflect the age of terrace construction. Here we coupled 300+ port-OSL measurements in 30+ profiles with 12 OSL ages to date archaeological agricultural installations (wadi and slope agricultural terraces, roads, walls, rock piles) and an adjacent, well-preserved type-section of clast and fine-sediment accumulation in a non-terraced, 1st-order basin depression. The study region around Mevo Betar, in the southwestern Jerusalem Highlands of Judea, Israel, consists of mixed Terra-Rossa (Red Mediterranean) soil between lapies formations, in a small-spring dominated, Mediterranean, hard carbonate terrain. The region underwent fluctuations in agricultural-oriented village occupations since Chalcolithic times.

The Terra Rossa soil-like sediment accumulating in the 1st-order  depression since Epipalaeolithic (~17-13 ka) times yields a reliable (R2=0.96) port-OSL – OSL linear regression, that in turn can help roughly estimate ages of the sediment of nearby port-OSL profiled agriculture installations. These installations yield OSL ages dating to Roman, Byzantine, Late Islamic and mid-Ottoman times with limited remains of earlier preserved and presumably natural, aeolian source-sediment of the soils.

It appears that wall-lined agricultural roads and terraces were implemented in Roman to Byzantine times, with a 2nd major phase of expansion in the last millennium, the latter well-established chronologically for terraced hinterlands in the northern Jerusalem Highlands (Porat et al., 2019; Ben-Melech et al., 2025). A distinct dam-like wall dissecting the depression, roughly age-estimated by the port-OSL-OSL regression to Roman times, may be further evidence of Roman involvement, as recognized by another Roman-dated wall dissecting a nearby wadi.

Despite no significant increase in aeolian dustfall since ~2.5 ka, average sediment accumulation rates in the 1st-order  depression grew threefold, probably due to anthropogenic soil exposure by agriculture, grazing and shrub/tree utilization for fire fuel. Such enhanced soil erosion may have been observed by locals, and eventually motivated terracing efforts. We suggest that the expansion of agricultural installations into hinterlands of ancient villages in the southern Levant was characterized by a non-linear growth process that included improvement and maintenance of existing features, and a generally radial development pattern from village peripheries into "terra incognita" hinterlands over a wide range of hard carbonate formations and morphologies. This expansion led to the current landscape morphology with significant terrace cover, that still constrains erosive slope processes.

 

Porat, N. et al. (2019). Using portable OSL reader to obtain a time scale for soil accumulation and erosion in archaeological terraces, the Judean Highlands, Israel. QG49, 65-70.‏

Ben-Melech, N. et al. (2025). Agricultural Terracing and land tenure in late medieval Southern levant: the case of Nahal Ein Karim, Jerusalem. EA 30(6), 590-604.‏

How to cite: Salomons, N., Roskin, J., Faershtein, G., Porat, N., Tiano, J., and Mizrachi, A. S.: Portable OSL supported OSL-dating of sediment accumulation and agricultural hinterland development in the southwestern Jerusalem Highlands, Israel, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3587, https://doi.org/10.5194/egusphere-egu26-3587, 2026.

EGU26-6477 | ECS | PICO | GM4.4

Late Holocene alluvial sediment dynamics of the Wiesent River catchment (NE-Bavaria, Germany): Insights from high-resolution OSL dating and bayesian age-depth modelling 

Bastian Grimm, Christian Zeeden, Alexander Voigt, Thomas Kolb, Andreas Dix, Rainer Schreg, Niklas Pauly, Janina Merz, and Markus Fuchs

Floodplains are key geoarchives for reconstructing long-term human–environment interactions, particularly during the Late Holocene when anthropogenic influence increasingly rivalled natural controls on fluvial systems. In Central Europe, centuries of land-use change, deforestation, agriculture and hydrotechnical interventions have fundamentally reshaped river morphology, sediment dynamics and floodplain architecture. This study investigates the Wiesent River catchment in northern Bavaria, Germany, as a representative example of the transition from a predominantly natural to a human-dominated fluvial landscape.

We apply a multi-proxy approach combining sedimentological, geophysical and paleoenvironmental analyses with optically stimulated luminescence (OSL) dating to establish a robust chronological framework for floodplain development. Bayesian age–depth modelling of OSL ages significantly reduces chronological uncertainty and enables the identification of successive phases of sediment accumulation and stratigraphic reorganisation. This improved temporal resolution facilitates comparison between floodplain sedimentation patterns and archaeological and historical evidence for land-use change within broader socio-environmental developments.

The floodplains of the Wiesent River catchment are characterised by laterally extensive and locally thick overbank deposits that record pronounced shifts in sediment dynamics during the Late Holocene. Chronostratigraphic patterns indicate that sediment deposition within the floodplain is not synchronous with documented phases of intensified land use in the catchment. Instead, the results point to pronounced temporal offsets between sediment mobilisation in upland areas and its eventual incorporation into floodplain stratigraphy. These offsets highlight the importance of sediment storage and delayed transfer within the catchment, consistent with a sediment cascade framework in which mobilised material may remain stored in hillslopes, colluvial deposits or tributary systems for extended periods before final floodplain deposition.

The chronostratigraphic record demonstrates that floodplain sedimentation does not directly mirror phases of peak human activity, but rather reflects the cumulative and time-transgressive nature of sediment transfer processes. Comparisons with already studied sub-catchments support the regional relevance of these delayed responses. By integrating high-resolution OSL chronologies with sedimentological evidence, this study provides a nuanced reconstruction of fluvial transformation that emphasises temporal lags and internal system feedbacks.

These findings underline the value of well-constrained chronostratigraphy for interpreting fluvial geoarchives in human-modified landscapes. Understanding the timing and pathways of sediment redistribution is essential for disentangling natural processes from indirect human influence and for placing archaeological and historical land-use signals into their geomorphological and geoarchaeological context.

How to cite: Grimm, B., Zeeden, C., Voigt, A., Kolb, T., Dix, A., Schreg, R., Pauly, N., Merz, J., and Fuchs, M.: Late Holocene alluvial sediment dynamics of the Wiesent River catchment (NE-Bavaria, Germany): Insights from high-resolution OSL dating and bayesian age-depth modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6477, https://doi.org/10.5194/egusphere-egu26-6477, 2026.

EGU26-6548 | ECS | PICO | GM4.4

Paleo-environmental characterisation of an archaeological site through multi geophysical techniques and stratigraphic analysis 

Alberto Cogliati, Alessandro Ghirotto, Andrea Zunino, Luca Peruzzo, Jacopo Boaga, Mauro Pavan, and Egidio Armadillo

The Neolithic settlement of Favella della Corte (Cosenza, Southern Italy) provides an important opportunity to investigate prehistoric Southern Italian communities. This work presents the results of sedimentological analysis on outcropping stratigraphic units coupled with a non-invasive geophysical investigation of the site. Specifically, a multi approach geophysical survey has been conducted, including magnetic field measurements, magnetic susceptibility sampling and electrical resistivity profiling. This study aims to provide a detailed characterisation of the site’s shallow stratigraphy and to support the reconstruction of its paleo-environmental context.

The magnetic survey consisted of approximately 3,000 measurements acquired over an area of 11,600 m² using a Scintrex MP3 Proton Procession Magnetometer (PPM). Magnetic susceptibility was measured on exposed stratigraphic units along vertical sections, with sampling intervals of 20–50 cm, using a portable Geofyzika KT-5 kappameter. Electrical resistivity data were collected along nine profiles spaced 20 m apart, each extending up to 90 m in length. Measurements were carried out using a geo-resistivimeter designed and built by the Applied Geophysics Laboratory of the University of Genova.

Sedimentological analyses revealed the alternation of three shallow levels: (i) an upper arable layer, (ii) an intermediate silty sand layer, and (iii) a deeper silty-sandy gravel layer. Magnetic susceptibility data supported this evidence, highlighting a contrast between the more susceptible intermediate horizon and the underlying gravel level. Therefore, the magnetic inversion was constrained to a single layer of prismatic bodies, enabling the reconstruction of the interface between silty sand and silty-sandy gravel units. Because of the non-linearity of the inverse problem, the L-BFGS algorithm has been employed to solve the optimization problem. The model parameters involved are the depth of the bottom of each prism and a single value of magnetic susceptibility contrast associated with all the prisms. These parameters were updated at every iteration until the L-BFGS algorithm converged. The electrical resistivity data have been modelled along two-dimensional sections using Res2dinv software based on the smoothness-constrained least-squares method without any constraints due to the absence of a priori information (e.g. water table depth, homogeneity degree and resistivity values of the lithological units).

Combined modelling of magnetic and electrical resistivity datasets has revealed a NE–SW trending linear feature 70m long, 15m wide and reaching depths of about 4m, crossing the whole survey area. The sedimentological evidence resulting from outcropping stratigraphic units allowed us to interpret it as a paleo-channel carved into the silty-sandy gravel substrate and filled with silty sand material. Considering the pronounced straightness of this feature, we interpreted it as an anthropogenic paleo channel with a drainage function. Although of unknown age, the paleo- channel may have controlled the distribution of the Neolithic settlement of Favella della Corte.

The coupling of magnetic and electric resistivity techniques has proved to be highly effective for reconstructing the paleo environmental context of the Favella della Corte area, revealing subsurface stratigraphy and a geomorphological feature. These findings have highlighted the value of integrated geophysical approaches for reconstructing ancient landscapes and informing future research.

How to cite: Cogliati, A., Ghirotto, A., Zunino, A., Peruzzo, L., Boaga, J., Pavan, M., and Armadillo, E.: Paleo-environmental characterisation of an archaeological site through multi geophysical techniques and stratigraphic analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6548, https://doi.org/10.5194/egusphere-egu26-6548, 2026.

EGU26-6888 | PICO | GM4.4

Tracing Holocene sediment pathways in a Central European river catchment - the Weiße Elster (Central Germany) 

Hans von Suchodoletz, Azra Khosravichenar, Pierre Fütterer, Birgit Schneider, Simon Scheper, Ulrike Werban, Peter Kühn, Tomas Matys Grygar, Ivana Pavlů, Christian Tinapp, Tobias Lauer, Lukas Werther, Harald Stäuble, Michael Hein, Anne Köhler, Christoph Zielhofer, Ulrich Veit, Peter Ettel, and Jan Miera

The sediment dynamics include erosion, transport and deposition of sediments within and through a catchment. Erosion leads to a degradation of fertile soils on the slopes, while introducing large-scale inputs of fine-grained overbank sediments into floodplains. These sediments often contain particulate organic carbon and partly also contaminants. This sediment input changes floodplain properties, including e.g. geomorphology, habitat diversity, ecosystem services or human health impacts. Throughout most of the Holocene human activities increasingly influenced sediment dynamics in Central European river catchments through agriculture and settlement, starting in the Neolithic and strongly accelerating since the Middle Ages. However, the Holocene sediment dynamics of Central European river systems remains currently poorly understood. One key question concerns the fate of eroded slope sediments: How much is deposited within a certain part of the catchment, and how much is transported further downstream? Recent studies have addressed this issue by calculating Holocene sediment budgets including ‘sediment delivery ratios’ (SDRs), approximate estimations of the long-term fractions of eroded slope sediments reaching the channel or being transported to the catchment’s outlet. However, the ‘black box’ character of long-term SDRs prevents a detailed examination of temporal variations. Sediment provenance analyses could overcome this limitation by more precisely tracing pathways of Holocene sediments through river systems. Furthermore, well-resolved spatio-temporal information about former human activities has often been unavailable, limiting our ability to estimate human influence on the sediment dynamics.

We applied a comprehensive multi-disciplinary approach to the Weiße Elster catchment in Central Germany, which has been partly settled since the Neolithic. Our approach encompassed geomorphology, geophysics, geochronology, geochemical analysis, soil erosion modelling, settlement archaeology and history. We compared patterns and provenance of floodplain sediments in the middle and upper reaches and of colluvial deposits along the middle river reach with regional settlement history. This allowed us to identify the origin of the fluvial sediments in the middle river reach, and evaluate the diachronic influence of human activities on the Holocene sediment dynamics in the floodplain.

How to cite: von Suchodoletz, H., Khosravichenar, A., Fütterer, P., Schneider, B., Scheper, S., Werban, U., Kühn, P., Matys Grygar, T., Pavlů, I., Tinapp, C., Lauer, T., Werther, L., Stäuble, H., Hein, M., Köhler, A., Zielhofer, C., Veit, U., Ettel, P., and Miera, J.: Tracing Holocene sediment pathways in a Central European river catchment - the Weiße Elster (Central Germany), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6888, https://doi.org/10.5194/egusphere-egu26-6888, 2026.

EGU26-11116 | ECS | PICO | GM4.4

First steps towards the reconstruction of land use in the medieval Fluvial Anthroposhere of the Echaz floodplain (Southwest Germany)  

Snježana Pejdanović, Ema Zvara, Birgit Schneider, Ella Quante, Marco Pohle, Sara Saeidi ghavi andam, Iris Nießen, Marsel Schön, Tobias Lauer, Kathryn E. Fitzsimmons, Ulrike Werban, Yvonne Oelmann, Harald Neidhardt, Sven Marhan, Ellen Kandeler, Christian Poll, Peter Frenzel, Lukas Werther, Christoph Zielhofer, and Peter Kuehn

The Echaz River is a third-order karst river and a tributary of the Rhine. It originates in the Swabian Alb and cuts a cuesta landscape until it flows into the Neckar River. Structural changes to the natural course and floodplain of the Echaz are mainly due to the exploitation of its water power by mills and the irrigation of the so-called „water meadows“ during the Middle Ages (the water meadows appear in written sources as early as 1289, the mills in 1138 in Reutlingen, and in 1297 in Pfullingen).

This study presents the first steps towards a multidisciplinary reconstruction of the Fluvial Anthroposphere, by investigating local medieval pathways and land use in parts of the Echaz floodplain upstream of Pfullingen and downstream of Reutlingen. This reach of the Echaz was a centre of crafts, tanneries, dyeing and paper manufacturing in the Middle Ages. The upstream sites represent areas of anthropogenic influence, with water meadows presumably established in the High Middle Ages, while the sediments and soils of the downstream sites have archived signals of medieval and early modern craft activities (such as heavy metals: chromium, copper, iron, nickel, lead, zinc).

These first steps of research comprise the digitisation of old maps combined with information from historical and archaeological archives. A digital relief model in combination with geophysical results from Electromagnetic Induction (EMI) and, Electrical Resistivity Tomography (ERT) are correlated with soil profiles and soil/sediment cores from the Echaz floodplain, and form the basis for the reconstruction of natural and anhtropogenic stratigraphies.

Future work will include the establishment of a chronostratigraphic model with luminescence ages of sediments and radiocarbon dates of charcoal fragments, which will provide the basis for the selection of suitable sites for further analysis, including a combination of digital historical maps and physical-biogeochemical analyses (enzymes for excrement input, polycyclic aromatic hydrocarbons [PAH] for fire use), stable isotope ratios of C and N for the differentiation of C3 and C4 plants, as well as XRF analysis (for heavy metal pollution) as well as mollusc and ostracod analyses for aquatic habitat and water quality reconstruction.

How to cite: Pejdanović, S., Zvara, E., Schneider, B., Quante, E., Pohle, M., Saeidi ghavi andam, S., Nießen, I., Schön, M., Lauer, T., Fitzsimmons, K. E., Werban, U., Oelmann, Y., Neidhardt, H., Marhan, S., Kandeler, E., Poll, C., Frenzel, P., Werther, L., Zielhofer, C., and Kuehn, P.: First steps towards the reconstruction of land use in the medieval Fluvial Anthroposhere of the Echaz floodplain (Southwest Germany) , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11116, https://doi.org/10.5194/egusphere-egu26-11116, 2026.

EGU26-12793 | PICO | GM4.4

Landscape variability and human patterns in Bronze-Iron Age hilltop settlements in the Central Apennines (Italy). 

Guido Stefano Mariani, Michele Tommaso Maio, and Pierluigi Pieruccini

During the Bronze and Iron Ages artificially defended hilltop settlements were commonplace in Europe. Their typologies, development, and diffusion have been widely investigated in the archaeological literature, with different tools, from traditional field excavations to the newest techniques in photogrammetry and spatial analysis. In Italy, the occurrence and context of hillforts are less known. Here, hilltop features characterised by concentric rings, known as Castellieri, have been attributed to protohistoric times, dated to a chronological range from the 15th century BCE to the 3rd century BCE. Their presence is attested from the Karst region and the Istrian Peninsula down along the Apennines from Tuscany to Apulia. In Apenninic Italy, these sites occur in intermontane locations, and likely characterised a non-urban society that lived in a marginal and challenging landscape.

We identified potential Castellieri sites within the Umbro-Marchean Apennines through the application of remote sensing techniques integrated with GIS-based cartographic analysis. This approach allowed to characterise, for the first time, the Castellieri sites through a field-based geomorphological, topographical, relational and archaeological assessment and investigate their relationships with the surrounding palaeoenvironment in terms of spatial use and natural resources exploitation. These sites are typologically defined by the presence of characteristic earthen embankments or stone fortifications, their morphologies, often featuring circular and concentric enclosures adapted to local geomorphology, and their strategic siting, predominantly on elevated terrain or at the confluences of valleys. Our preliminary analyses show a remarkable network of interconnected sites along a variety of landscapes, following patterns relatable to widespread and established pastoral practices potentially similar to modern times.

How to cite: Mariani, G. S., Maio, M. T., and Pieruccini, P.: Landscape variability and human patterns in Bronze-Iron Age hilltop settlements in the Central Apennines (Italy)., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12793, https://doi.org/10.5194/egusphere-egu26-12793, 2026.

EGU26-12933 | ECS | PICO | GM4.4

Dryland Nile waterscapes and human footprints at Giza (Egypt): 8000 years of Khufu-branch dynamics, harbour palaeotopography, agropastoral adaptation, and early copper pollution 

Gamal Younes, Hader Sheisha, David Kaniewski, Nick Marriner, Christophe Morhange, Amr Saleem, and Alain Véron

The Giza Plateau lies at the desert-floodplain interface, where small variations in Nile waterscapes could decisively condition settlement, subsistence strategies, and large-scale engineering projects such as the construction of the pyramids. Here we synthesize multi-proxy geoarchaeological evidence to reconstruct the coupled evolution of a dryland river corridor and its cultural landscapes over the last ~8,000 years, focusing on the now-defunct Khufu branch and Khufu’s Pharaonic Harbour. First, pollen-derived vegetation patterns from floodplain cores (G1 and G4) are used to quantify long-term Khufu-branch level changes and their link to regional hydroclimate variability, including the termination of the African Humid Period (~3550 ± 80 BCE) and subsequent aridification trends, while highlighting water-level conditions during the 4th Dynasty that favoured navigation and logistics. Second, chronostratigraphy and sedimentology from the harbour core (Giza-3) constrain Holocene sedimentary units and allow reconstruction of local palaeotopography and harbour functionality, showing a shift from an earlier secondary palaeochannel to floodplain/harbour environments consistent with Old Kingdom use. Third, high-resolution palynological and non-pollen palynomorph indicators document a long record of agropastoral practices at the foot of the necropolis (from ~7980 ± 80 BCE to 375 ± 80 CE), enabling assessment of human adaptive thresholds under drought–flood stresses in a semi-arid setting. Finally, geochemical analyses (ICP-MS; Cu enrichment factors with crustal-element normalization) from harbour sediments reveal distinct phases of anthropogenic copper contamination from the Predynastic through Dynastic periods, including peaks during the reigns of Khufu, Khafre and Menkaure, providing an environmental signal of intensified metalworking associated with construction and subsequent activity. Together, these datasets show how dryland river dynamics, floodplain geomorphology, and human land use co-evolved at Giza, and demonstrate that monumental building in semi-arid landscapes left not only a cultural legacy but also detectable early geochemical pollution in sedimentary archives.

How to cite: Younes, G., Sheisha, H., Kaniewski, D., Marriner, N., Morhange, C., Saleem, A., and Véron, A.: Dryland Nile waterscapes and human footprints at Giza (Egypt): 8000 years of Khufu-branch dynamics, harbour palaeotopography, agropastoral adaptation, and early copper pollution, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12933, https://doi.org/10.5194/egusphere-egu26-12933, 2026.

EGU26-13701 | ECS | PICO | GM4.4

Evolving shores, hidden stones: The impact of sea level change and sedimentation on lithic procurement in Valencian coastal sites 

Nahum Mendez-Chazarra, Jaime Cuevas-González, and Aleix Eixea

Reconstructing the mobility strategies of Neanderthal and anatomically modern human populations requires an accurate mapping of the raw material outcrops. In the coastal zones of Valencia, the distance between archaeological sites and raw material outcrops is frequently calculated based on current topography, but there are some limitations of these models if we consider several taphonomic filters that flint can suffer: 1. The burial of Pleistocene river terraces due to past or recent sedimentation; 2. The inundation of secondary deposits on the continental shelf during interglacial highstands and 3. The mechanical selection of materials during transport. Specifically, we account for the fact that flint can survive high-energy transport over longer distances over limestone. This is enough to create a compositional bias where distant secondary sources are naturally enriched in high quality lithic materials.

By modelling the exposure and predicted composition of these secondary sources during glacial maximum and minimums, we suggest that many raw materials classified as “distant” or “exotic” in the archeological recod may have been locally available in now vanished landscapes. This reconstructive approach forces a reevaluation of procurement economy, suggesting that human groups could have been able to exploit a resource rich landscape that extended kilometers beyond the modern shoreline.

How to cite: Mendez-Chazarra, N., Cuevas-González, J., and Eixea, A.: Evolving shores, hidden stones: The impact of sea level change and sedimentation on lithic procurement in Valencian coastal sites, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13701, https://doi.org/10.5194/egusphere-egu26-13701, 2026.

Site preservation and terrain characteristics are primary factors influencing the spatial distribution and discoverability of Late Pleistocene archaeological sites. To predict site expectancy across extensive areas, such as the southern Levant, this study integrates archaeological on-site analysis, with geoarchaeology and geomorphology using spatial analysis. We present a predictive suitability model, derived from a Multi-Criteria Decision Analysis (MCDA), designed to identify areas with high potential for Upper Palaeolithic sites in the Eastern Mediterranean and its arid margins. By incorporating data from various prominent Upper Palaeolithic sites in the diverse study area, eight parameters were evaluated for their significance: geomorphology, hydrogeology, drainage network, vegetation zone, elevation, as well as DEM derivates such as aspect, slope inclination, and terrain ruggedness. Statistical analysis reveals a significant divergence between the spatial distribution of sites and natural terrain position factors. This finding allows for the definition of parameter classes associated with high site expectancy, which were then incorporated into the predictive model. The resulting site location suitability maps reinforces the potential for a detailed study by utilising larger site datasets and enhanced spatial information to investigate to which part archaeological site distribution in such an heterogenous landscape from desert to Mediterranean forest, can be related to prehistoric human site selection, site preservation or survey bias.

How to cite: Zickel, M. and Rohringer, H.: Environmental Geodata-Based Location Suitability Analysis for Archaeological Sites in the Southern Levant, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19485, https://doi.org/10.5194/egusphere-egu26-19485, 2026.

EGU26-19713 | ECS | PICO | GM4.4

OSL rock surface burial dating of megalith structures in the Dzhungar Mountains - Kazakhstan 

Sarah Schaffer, Michael Meyer, Peter Tropper, Loic Martin, Michael Frachetti, and Darkhan Baitleu

The Dzhungar Mountains in northern Tien Shan, Kazakhstan, are part of the Inner Asian Mountain Corridor, which extends from the Hindu Kush to the Altai. This corridor is significant for human migration and cultural exchange due to its water availability and ecological diversity. The Dzhungar Mountains contain several Bronze Age sites, including the Dali settlement complex and an adjacent circular megalithic structure several meters in diameter. Megaliths in Central Inner Asia are rare, undated, and understudied, leaving their chronological relationship to the Bronze Age unclear.

Infrared Stimulated Luminescence rock surface burial dating (IRSL RSbD) is a new tool in quaternary geochronology and allows determining the burial age of rock surfaces since their last exposure to sunlight. The method is based on the fact that, over time, rock surfaces can store energy in the crystal lattice of rock-building minerals, such as feldspar, due to naturally occurring radiation. This energy can be read out as luminescence signal upon infrared stimulation under laboratory conditions and burial ages calculated. 

For dating the Dali megalith structure, we used infrared-stimulated luminescence of feldspar from the buried face of the granitic megalith boulders and complemented this with single-grain OSL dating of the sediment beneath the boulders. This combined dating approach helps to establish a chronological framework for the Dali megalithic structure and assess its relationship to the Bronze Age timeline of the Inner Asian Mountain Corridor.

How to cite: Schaffer, S., Meyer, M., Tropper, P., Martin, L., Frachetti, M., and Baitleu, D.: OSL rock surface burial dating of megalith structures in the Dzhungar Mountains - Kazakhstan, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19713, https://doi.org/10.5194/egusphere-egu26-19713, 2026.

The soil systems of Sardina, the second-biggest island of the Mediterranean, have been shaped by Quaternary climatic fluctuations and long- to short-term regional geodynamic processes across its coastal to upland environments. Pedological archives document the influence of the last interglacial and subsequent stadial/interstadial cycles, as well as the contribution of Plio-Pleistocene volcanic activity and long-distance aeolian dust transport across the Mediterranean basin. While the roles of time, climate, morphology, and parent material in Sardinian soil development is relatively well understood, the influence of past human activity remains comparatively underexplored. Permanent human presence only began during the Middle Holocene (Northgrippian) with the peopling of the island by Neolithic farmers that introduced domestic plants and animals. Also, from the Neolithic through the Bronze Age, these farming societies followed a distinctive trajectory marked by intensive monument-building that still imprints Sardinia’s landscapes today.

To begin filling this gap, this paper presents three geoarchaeological case studies examining interactions between soil development and human activity during the Neolithic, Copper Age, and Bronze Age. The study areas are distributed along a north-south transect and encompass three major geological settings in Sardinia: Miocene limestones, Oligo-Miocene acidic rhyolitic ignimbrites, and Pleistocene mafic basalts. An integrated geoarchaeological approach was applied focusing on buried soil horizons, archaeological deposits, and co-alluvial sedimentary records directly associated with settlements. All sites were investigated through detailed soil description and soil micromorphology, while particle-size analysis and radiocarbon dating are currently available for two of the three case studies, and XRD-mineralogy and ICP-MS geochemistry complemented the analyses in one case study.

Across all investigated areas, buried soils differ markedly from present-day soilscapes. Soil micromorphology and geochemical data from soil horizons and archaeological sequences reveal pedofeatures and geochemical signatures indicative of organic and inorganic anthropogenic inputs related to agropastoral practices, as well as microstructures associated with soil erosion. Local sedimentary archives further record the downslope mobilisation of soil material, with chronostratigraphic and petrographic evidence corresponding to phases of settlement and land-use activity.

Together, these case studies provide evidence-based new insights into the role of human activity in shaping Sardinia’s soil diversity, highlighting human agency as a key driver of soil development since the Holocene. Future work will aim to translate this mosaic of human-soil interactions into a better understanding of the timing and origin of the soil cover of the island, contributing to advance the knowledge of the Mediterranean human-environmental history.

How to cite: Marras, G. M.: Past human activity and its role in soil development in Sardinia (western Mediterranean), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21522, https://doi.org/10.5194/egusphere-egu26-21522, 2026.

EGU26-22358 | PICO | GM4.4

Hydrological and Environmental Factors in Settlement Growth and Decline: ‘En Esur in the Early Bronze Age 

Oren Ackermann, Kristina S. Reed, Yaakov Anker, Itai Elad, Yitzhak Paz, Gal Yasur, and Tami Zilberman

The Early Bronze Age settlement of ‘En Esur, located on Israel’s eastern coastal plain, thrived in an area characterized by abundant perennial freshwater sources and fertile alluvial soils. Despite this hydrological wealth, the site was abruptly abandoned by the end of the Early Bronze Age IB (ca. 3000 BCE). This study examines the environmental dynamics, particularly the hydrological thresholds that governed the growth and decline of this proto-urban settlement.

An integrated paleoenvironmental reconstruction combining pedosedimentary profiles, stable isotope analyses (δ¹³C, δ¹⁸O), palynological sequences, and optically stimulated luminescence (OSL) dating reveals that increasing rainfall, superimposed on already high water availability, overwhelmed the floodplain’s drainage capacity. This led to widespread waterlogging, marsh formation, and deterioration of agro-pastoral productivity. Botanical and isotopic proxies document a marked rise in hydrophilic vegetation and a decline in ruderal cover, indicating soil saturation and reduced cultivability.

These findings suggest that ‘En Esur’s abandonment was driven not by water scarcity, but by ecological oversaturation when environmental abundance crossed critical hydrological thresholds. The case of ‘En Esur thus exemplifies how shifts in water regimes can transform a thriving settlement into an unsustainable marshland, offering key insights into human–environment interactions on the southern Levantine coastal plain.

How to cite: Ackermann, O., Reed, K. S., Anker, Y., Elad, I., Paz, Y., Yasur, G., and Zilberman, T.: Hydrological and Environmental Factors in Settlement Growth and Decline: ‘En Esur in the Early Bronze Age, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22358, https://doi.org/10.5194/egusphere-egu26-22358, 2026.

EGU26-572 | ECS | PICO | GM6.2

Paleoenvironmental history preserved in shoreline dunes of the Wimmera lake overflow system, Wotjobaluk Country, south-eastern Australia 

Victoria Schwarz, Tobias Lauer, Andrew Gunn, Sumiko Tsukamoto, Barengi Gadjin Land Council Aboriginal Corporation, and Kathryn E. Fitzsimmons

Australia’s dryland margins are increasingly vulnerable to drought, flood and fire. Investigating past landscape and climate conditions using evidence preserved within landforms and their sediments provides important context for past, present and future climate-coupled water availability and landscape change. Such work is challenging in the Australian context, however, due to the sparse preservation of paleoenvironmental records and high spatial heterogeneity. Our study focuses on the Wimmera catchment, located on the dryland margins of south-eastern Australia, which is an understudied region of high agricultural, ecological and cultural importance. The landscapes of the Wimmera comprise a unique overflow-lake system with well-preserved shoreline dunes. Shoreline dunes form valuable archives of past hydrologic lake conditions in this semi-arid region; deflation of the lake floor, and transport of these sediments onto the dunes, records preservation of the adjacent lake’s condition within the sediments. We combine optically stimulated luminescence (OSL) dating of single grain quartz to derive depositional ages, and a larger chronological dataset using portable OSL measurements, with facies characterisation from field observations and grainsize measurements, to provide first insights into the rich history preserved within these lake shoreline dunes. 

How to cite: Schwarz, V., Lauer, T., Gunn, A., Tsukamoto, S., Aboriginal Corporation, B. G. L. C., and Fitzsimmons, K. E.: Paleoenvironmental history preserved in shoreline dunes of the Wimmera lake overflow system, Wotjobaluk Country, south-eastern Australia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-572, https://doi.org/10.5194/egusphere-egu26-572, 2026.

Despite the modern hyperaridity of the Atacama Desert (mean annual rainfall <1 mm), evidence for wetter climates during the Holocene have been found in cores from salars (i.e., salt flats) and sedimentary basins. There are several major discrepancies in the Holocene climate of the Atacama Desert after the Last Glacial Maximum, including asynchronous wet phases in the Coastal Cordillera and the Altiplano as well as a discordance between paleo-wetland and Salar de Atacama chronology. We address the following research question: How did fluvial and mass flow activity in the Atacama Desert respond to regionally fluctuating hyperaridity throughout the Quaternary period?  A series of large alluvial fans sourcing from the western Andean foothills that terminate at these salars remain largely underutilized as a paleoclimate record, though alluvial fan stratigraphy is often used to reconstruct past environmental conditions. These alluvial fans, which may serve as a bridge between competing paleoclimate signals, have modern transport and depositional processes that include layered, overbank mudflows that extend laterally for up to hundreds of meters from the channel, aeolian reworking of inactive fan surfaces, and terminations in playa-like environments. To determine how fan activity is tied to Quaternary climate change, we made detailed stratigraphic correlations of 6 sedimentary facies across 18 study sites along the fan sourcing from Quedabra de Chacarilla. We then used single-grain post-infrared infrared stimulated luminescence (post-IR IRSL) to precisely date 11 samples taken from interpreted aeolian-deposited facies within the stratigraphy. Detailed chronology of the fan stratigraphy using post-IR IRSL will allow us to compare with other regional climate proxies and understand how Atacama alluvial fans record and preserve evidence of past climate evolution. This will advance our understanding for how future climatic changes in the region may impact people and infrastructure due to mudflow-based flooding.

How to cite: Rogers, E., Palucis, M., and Morgan, A.: Constraining the paleoclimate of the Northern Atacama Desert, Chile using luminescence dating of alluvial fan stratigraphy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-775, https://doi.org/10.5194/egusphere-egu26-775, 2026.

EGU26-2431 | ECS | PICO | GM6.2

Subsurface architecture of aeolian erosion features in hyper-arid alluvial systems of the Atacama Desert: Insights from ground-penetrating radar 

Pablo Schwarze, Jan Igel, Pritam Yogeshwar, Barbara Blanco Arrue, Janek Walk, and Simon Matthias May

Aeolian erosion of the alluvial deposits in the hyper-arid core of the Atacama Desert appears in several sites in the form of deflation hollows. Despite constituting signs of degradation of the unique and ancient landscape, their architecture and formation is as yet poorly understood. Ground-penetrating radar (GPR) is an effective way to image the internal structure of such aeolian landforms, and in this study, eight 200-500 m GPR profiles were acquired across deflation hollows and an eroded alluvial fan. A 400 MHz antenna was used, penetrating more than 3 m deep. Evaporitic crusts and salt-cemented layers were identified and mapped. In the leeward side of hollows, younger aeolian deposits can be differentiated from the older alluvial sediments, and similarities were found in the radar facies of several eroded surfaces. This work reveals the shallow subsurface architecture of the aeolian cover and alluvial deposits and provides new insights into the landscape formation in hyper-arid environments through the use of GPR.

How to cite: Schwarze, P., Igel, J., Yogeshwar, P., Blanco Arrue, B., Walk, J., and May, S. M.: Subsurface architecture of aeolian erosion features in hyper-arid alluvial systems of the Atacama Desert: Insights from ground-penetrating radar, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2431, https://doi.org/10.5194/egusphere-egu26-2431, 2026.

Studies have demonstrated that >~100 absolute ages of aeolian sand at certain spatial/vertical resolutions are necessary for constructing a reliable chronological framework for palaeoenvironmental/palaeoclimatic interpretations of dunefield histories (Telfer and Hesse, 2013). As acquiring such an interpretable dataset demands significant resources, several approaches, such as portable-OSL-OSL age estimates, have attempted to partly overcome this necessity (Stone et al., 2019).

Encroaching dunes in the past and present, dam drainage systems. In arid environments this process generates proximal upstream, dune-dammed waterbodies. These waterbodies that are often seasonal, deposit distinct, low-energy, fluvial, fine-grained sediments (LFFDs), often as sedimentary couplets. When dry, the water-body deposits sustain a playa morphology. This recurring aeolian-dominated, aeolian-fluvial  process gradually leads to amplified LFFD accumulation, and partly reconfigures dunefield, and particularly dunefield margin, landscape evolution. In medium-sized basins (~10-200 km2) along the margins of the northwestern (NW) Negev desert dunefield of Israel, LFFD stratigraphic buildup gradually levels with dune-dam crest elevation, consequently leading to a dune-dam break outburst flood. The dune dam break in turn generates rapid fluvial incision of the LFFDS, reviving an open, fluvial-dominated environment in a transformed landscape (Robins et al., 2022,2023).

The INQUA DuneAtlas of global inland dunefield chronological data includes some dated samples that are non-dune sediments such as interdune and LFFD samples (Lancaster et al., 2016). However, the complementary contribution of such sediments to interpreting dunefield chronologies has not been fully assessed. Also, DuneAtlas sand samples dating to the LGM are sparse.

Here, we demonstrate for the NW Negev dunefield that OSL-dating, partly supported by port-OSL profiling, mainly of sandy units within LFFDs, improves the resolution and reliability of determining dunefield chronologies. The approach also gleans information on the morphological maintenance of existing dunes, and in some cases, reveals sand mobilization episodes that are absent in adjacent dated, dune cores.

Spatially dense, OSL-dated dune cores and sections of the ~103 km2-sized NW Negev dunefield revealed that the dunefield was constructed in two main sand incursions and vegetated linear dune (VLD) buildup/extension periods – associated with the Heinrich 1 (H1) and Younger Dryas (Roskin et al., 2011). In this study, exposed OSL-dated LFFD sections along the upstream-facing, dunefield margins revealed that dune-dammed waterbodies partly to completely erode earlier dunefield-margin dunes but also preserve remains of eroded dunes between LFFD units. This partial preservation of aeolian deposits enables the construction of a reliable archive. The LFFD sections also revealed evidence of significant and initial dune incursion and damming during the LGM, intermittently recurring until the early Holocene (Robins et. al.). Early Holocene LFFDs may imply partial dune buildup or equilibrium-like dune maintenance, and/also, a significant lag between Younger Dryas dune-damming and dune-dam breaching. Altogether, dating dunefield LFFDs is proposed to be a primary approach for jointly studying dunefield and fluvial histories.

 

References

Lancaster, N., et al., 2016. QI 

Robins, L., et al., 2022. QSR 

Robins, L., et al., 2023. QSR

Roskin, J., et al., 2011. QSR 

Stone, A. et al. 2019. QG 

Telfer, M.W. and Hesse, P.P., 2013. QSR 

 

How to cite: Roskin, J., Robins, L., and Greenbaum, N.: Dune-dammed waterbody, aeolian and fluvial sediment chronologies improve resolution of dunefield histories, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3582, https://doi.org/10.5194/egusphere-egu26-3582, 2026.

Carbonate nodules are pedogenic carbonates commonly found in regions of high evapotranspiration, such as arid and semiarid areas. The stable carbon isotopes in these nodules are influenced by the type of vegetation (C3 or C4 plants), while the stable oxygen isotopes are controlled by soil water and temperature. Carbonate nodules persist in the soil, and their isotopic signatures can reflect the paleoclimatic conditions under which they formed. Carbonate nodules are distributed across the alluvial plains of southwestern Taiwan; however, the present humid conditions may not be favorable for their formation. The objective of this study was to evaluate the climatic conditions and vegetation types that influenced the formation of carbonate nodules using stable carbon and oxygen isotopes. Four pedons with different ages of soil formation were sampled in accordance with marine transgression and regression phases, corresponding to 10,000 years before present (yr BP), 8,000 yr BP, 5,000 yr BP, and 3,000 yr BP. Carbonate nodules were collected from the pedons, and their stable carbon and oxygen isotopes were analyzed using an automated carbonate preparation device. The δ13C values indicated a mixed C3/C4 vegetation, with a predominance of C4 plants (68.0 to 98%). The mean annual temperature (12.3-14.0°C), calculated using the climofunction of temperature and δ18O, was lower than the present (24.7°C). The mean annual precipitation (1036 to 1342 mm yr-1), calculated from the geochemical climofunction, was also lower than the present (1829 mm yr-1). The radiocarbon ages of the carbonate nodules ranged from 4063 yr BP to 690 yr BP, implying that climatic conditions may have been drier and cooler than present during this time frame. This may be due to a weaker East Asian Summer Monsoon, which favored calcification in the soils. These climatic conditions are consistent with the formation environment of carbonate nodules.

How to cite: Hum, H. Z., Wang, P.-L., Huang, W.-S., and Hseu, Z.-Y.: Stable carbon and oxygen isotopic composition in carbonate nodules from alluvial soils and their implications for paleoclimate in Taiwan, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4748, https://doi.org/10.5194/egusphere-egu26-4748, 2026.

EGU26-4809 | ECS | PICO | GM6.2

Late Quaternary palaeohydrology, aeolian dynamics and erosion rates recorded in a small, dune-dammed, arid dunefield margin playa 

Nitay Golovaty, Joel Roskin, Shlomy Vainer, and Galina Faershtein

Small endorheic basins at the arid, northwestern Negev desert dunefield margin were hypothesized to preserve finely resolved and quasi-continuous archives of climate‑driven sediment dynamics. Two 7.5‑m deep cores from the Givat Hayil dune‑dammed playa (0.047km2) captures sedimentation processes and erosion rates of a small, ~2 km2 basin, characterized by ~1 short-lived flood per annum. A multi‑proxy approach combined laser‑diffraction grain‑size analysis and imaging, X‑ray fluorescence geochemistry, and portable-OSL (port‑OSL) profiling to diagnose the sediments, identify accumulation trends, delineate stratigraphic boundaries and target samples for OSL dating.

The cored sequence documents transitions between fluvial to aeolian dominated environments, from the onset of MIS-3 until today, and mainly since the Younger Dryas (YD). Basal, well‑bedded silt loams dating to the early MIS-3 suggest floodplain deposition of up-basin-sourced, primary, MIS-6-MIS-2 (calcic) loess deposits, indicative of initial and enhanced basinal loess erosion evolving into hyper-concentrated flows. A long MIS-3 - YD hiatus suggests significant decrease in loess erosion rates. YD - early Holocene aeolian sand influx led to the playa-forming  dune dam. During the Holocene, the playa efficiently trapped sediments undergoing varying upbasin fluvial erosion rates and ongoing dustfall, punctuated by anthropogenically-induced Roman-Byzantine sand mobilization. Thin units with diluted aeolian sand content probably indicating rapid pulses of eroded up-basin loess delivery driven by high-intensity rain events are interpreted to document major and altogether, evenly distributed, ~1:1,000 yr recurring floods.

Changing sediment accumulation rates appears to capture a complete and fluctuating erosion trajectory of up-basin loess—from a MIS-3 loess‑loaded landscape to a present loess-starved basin. Inversed magnitude-lower loess erosion rates along the Late Pleistocene–Holocene transition in relation to the Holocene, despite higher up-basin loess availability, probably reflects a moister Late Pleistocene that enhanced vegetation and crust development, that in turn, increased loess preservability. Three-fold larger late Holocene accumulation rates in relation to the early Holocene, despite depleting up-basin loess availability, may be a result of higher erosion rates due to more high-intensity rainfall events, in line with gradually increasing aridity.

Altogether, this underrecognized, high‑resolution archive demonstrates how sediment archives of small, dunefield fringe endorheic basins can serve to resolve the timing, magnitude, and mechanisms of both aeolian and fluvial processes, in particular extreme floods and erosion rates, in arid and hyper-arid environments.

How to cite: Golovaty, N., Roskin, J., Vainer, S., and Faershtein, G.: Late Quaternary palaeohydrology, aeolian dynamics and erosion rates recorded in a small, dune-dammed, arid dunefield margin playa, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4809, https://doi.org/10.5194/egusphere-egu26-4809, 2026.

EGU26-6041 | ECS | PICO | GM6.2

Linking Dune Dynamics to Facies Heterogeneity in Preserved Aeolian Systems 

Na Yan, Luca Colombera, Nigel Mountney, and Grace Cosgrove

Aeolian sedimentary systems record past climate changes due to their sensitivity to environmental variables, such as changing rates of sediment supply, climate, wind regime and palaeoflow, the action of physical, chemical and biogenic stabilising agents, and also interactions with other coeval sedimentary systems. Due to the interplay of allogenic and autogenic controls, the preserved sedimentary record of aeolian systems is highly complex and exhibits a variety of sedimentary architectures and spatial heterogeneities in facies distributions. Meanwhile, the accumulated deposits of aeolian sedimentary successions form important potential subsurface geothermal reservoirs and underground repositories for large-scale carbon capture and storage in both depleted and repurposed hydrocarbon reservoirs, and in very large saline aquifer bodies. In this study, a novel rule-based forward stratigraphic model, the Dune Architecture and Sediment Heterogeneity model (DASH), is used to investigate the variations in facies heterogeneity across different types of dunes, taking into account their sizes, migration rates, and aggradation rates over a broad spectrum of temporal scales. The DASH model is a geometric-based model that can reproduce different hierarchies of sedimentary architectures and bounding surfaces of aeolian dune and interdune and fluvial dune, barform and sheet-like deposits. The modelling outputs will enable more accurate predictions and systematic analysis of facies spatial distributions in different aeolian systems, including transverse dunes, linear dunes, and superimposed dunes. The modelling outputs can further be employed for predictions of petrophysical heterogeneity, for example, to guide models to assess geothermal reservoir potential and to model carbon capture and storage scenarios.

How to cite: Yan, N., Colombera, L., Mountney, N., and Cosgrove, G.: Linking Dune Dynamics to Facies Heterogeneity in Preserved Aeolian Systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6041, https://doi.org/10.5194/egusphere-egu26-6041, 2026.

EGU26-7403 | ECS | PICO | GM6.2

Late Quaternary geomorphological processes and landscape evolution in the Kkoor va Biabanak basin using quartz OSL and K-feldspar pIRIR225 ages 

Mehdi Torabi, Thomas Kolb, Morteza Fattahi, Christian Buedel, Zakieh Rashidi Koochi, and Markus Fuchs

The Central Iranian Plateau is a key region for understanding Late Quaternary landscape evolution. However, palaeoenvironmental reconstructions remain limited due to harsh climatic conditions and difficult access. The Khoor va Biabanak Basin, at the eastern edge of the Great Kavir, preserves diverse geomorphological archives that record interactions between climate and surface processes.

We used an integrative approach combining geomorphological mapping, stratigraphical analyses, and luminescence dating of 12 sedimentary sequences across eight geomorphic units, including pediments, alluvial fans, dunes, sand sheets, and playa surfaces.

Quartz OSL signals from dunes and sand sheets were generally dim and dominated by medium and slow components. Dose recovery tests show limited reliability, with high failure rates for recycling and recuperation, although performance improved at preheat temperatures of 180-280 °C. OSL-IR depletion tests indicate feldspar contamination in ~21% of aliquots, limiting the applicability of quartz OSL in this setting.

Preliminary K-feldspar pIRIR225 results are more promising. Fading rates range from 0.5–2.3% per decade, and residual doses are 2–5%. The first age estimates are currently in progress and will provide essential chronological constraints for Late Quaternary geomorphological processes in the basin.

The oldest landforms indicate alternating pediment erosion, alluvial fan deposition, dune activity, and soil formation, likely corresponding to periods before and during MIS 3. Subsequent alluvial fan progradation and dune development reflect cold and arid conditions during the Last Glacial Maximum. Holocene features show increasing aridity, including gypsum-rich soils, dune reactivation, and deflation of playa surfaces. In the future, with the completion of dating results, these observations will allow a robust reconstruction of Late Quaternary landscape evolution and its climatic drivers in the Khoor Basin.

This study provides the first comprehensive model for landscape evolution in the Khoor va Biabanak Basin, demonstrating both the potential and limitations of luminescence dating in arid-region environments and highlighting the complex interactions between climate, geomorphology, and sedimentary processes in Central Iran.

How to cite: Torabi, M., Kolb, T., Fattahi, M., Buedel, C., Rashidi Koochi, Z., and Fuchs, M.: Late Quaternary geomorphological processes and landscape evolution in the Kkoor va Biabanak basin using quartz OSL and K-feldspar pIRIR225 ages, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7403, https://doi.org/10.5194/egusphere-egu26-7403, 2026.

EGU26-7772 | PICO | GM6.2

Loess in northern Pakistan? Current Understanding, Knowledge Gaps, and New Field Observations 

Christian Zeeden, Waheed Murad, Arshad Mehmood Abbasi, Sumiko Tsukamoto, and Arne Ulfers

Loess and other Late Quaternary palaeoclimate archives in Pakistan are not documented adequately yet and their extent and composition remain unclear, with only a few isolated occurrences being described. This highlights a major gap in systematic research to comprehend the ecological and palaeoclimate dynamics critical for the evolution of dryland and sedimentary records in this region. In this context the present investigation focuses on the presence and composition of silty Quaternary sediments. These have been suggested to be of aeolian and fluvial origin.

In this contribution, we summarize literature, and present observations from a recent field excursion supplemented by magnetic susceptibility data. We consider both aeolian loess and redeposited loess-like fluviolacustrine sediments to be present in much larger areas than earlier reports. Magnetic susceptibility properties are typical for in-situ sol formation, suggesting phases of landscape stability over at least centuries. We find that an aeolian sediment flux into the landscape was repeatedly intercalated by fluviolacustrine sediments of similar silt grain size. The aeolian sedimentation proceeded into mountain regions north of the Peshwar Basin, but in-situ preservation of fine material in sparse. At several places, loess is intercalated with (unrounded) slope deposits and fluvial deposits.

We conclude that Quaternary sedimentation in northern Pakistan is complex, and that landscape stability phases with soil formation occurred. Next steps will be to assess the stratigraphic and spatial (in) homogeneity of deposits, and to provide a temporal frame for soil formation phases. 

How to cite: Zeeden, C., Murad, W., Mehmood Abbasi, A., Tsukamoto, S., and Ulfers, A.: Loess in northern Pakistan? Current Understanding, Knowledge Gaps, and New Field Observations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7772, https://doi.org/10.5194/egusphere-egu26-7772, 2026.

EGU26-14484 | ECS | PICO | GM6.2

Multi-millennial increased humidity in the Atacama Desert during MIS 5e: evidence from a lacustrine record in southern Peru 

Marco Nieslony, Swann Zerathe, Pierre Valla, Diana Ochoa, Luis Albinez, Dulio Gomez, Fabrizio Delgado, Xavier Robert, Laurence Audin, Regis Braucher, and Audrey Taillefer

The Atacama Desert, along the Pacific margin of the Central Andes, is one of the driest high-altitude regions on Earth, with hyperaridity persisting for at least 10-12 Ma due to its latitudinal location, Humboldt Current and Andean orographic barriers. This has produced landscapes with exceptionally well-preserved Quaternary geomorphologies, including mega-landslides, alluvial terraces and fans. While the roles of tectonics and climate in shaping and controlling these features remain debated, recent regional studies suggest the occurrence of past humid periods, though their timing, duration, moisture sources and controlling mechanisms remain largely unresolved.

We conducted a multi-proxy study of a 20-30 m thick and 300 m long sedimentary sequence trapped behind the Caquilluco mega-landslide (~2000 m a.s.l., Pleistocene). This site provides a rare exposure of lacustrine deposits and natural dam that have been partially re-incised. To reconstruct depositional conditions, document the paleoenvironment, and constrain the chronology, our analyses included stratigraphy (facies, grain size), geochemistry (XRF) and paleoenvironmental indicators (diatom, pollen) combined with feldspar OSL and ¹⁰Be exposure dating.

Results indicate predominantly lacustrine conditions, through fine and regularly deposited sediments. Slumps in distal deposits suggest minimum water depths of several meters, while desiccation cracks and debris flow layers indicate intermittent drying events. Although only partially preserved, pollen and diatom assemblages point to a semi-humid paleoenvironment, dominated by shallow-water taxa. OSL dates constrain deposition of the exposed sequence to 133 ± 14 ka – 115 ± 16 ka, corresponding to MIS 5e and consistent with ¹⁰Be exposure ages of dam and gorge incision. Given the small catchment area (~10 km²) and high evaporation rates, sustaining lacustrine conditions over ~20 ka would require substantial precipitation. We hypothesize that strong Pacific surface temperature anomalies during MIS 5e may have induced semi-permanent "El Niño"-type conditions, aligning with other regional proxies supporting enhanced humidity in the Atacama Desert during the last interglacial.

This study highlights the value of high-altitude drylands as archives of Quaternary environmental change and demonstrates the potential of lacustrine deposits in reconstructing past hydroclimatic variability, providing insights into the interplay of climate, geomorphology, and hydrology in dryland evolution.

How to cite: Nieslony, M., Zerathe, S., Valla, P., Ochoa, D., Albinez, L., Gomez, D., Delgado, F., Robert, X., Audin, L., Braucher, R., and Taillefer, A.: Multi-millennial increased humidity in the Atacama Desert during MIS 5e: evidence from a lacustrine record in southern Peru, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14484, https://doi.org/10.5194/egusphere-egu26-14484, 2026.

Unlike the modern hyper-arid conditions across most of the Arabian Peninsula, the region experienced pronounced humid phases during the Quaternary, supporting a dense vegetation cover. Evidence for these humid periods and the associated greening is documented in regional geological and paleoenvironmental records, including speleothems, lake-level reconstructions, lacustrine sediment sequences, and the presence of soil carbonate. However, the timing, extent, and moisture sources of these humid phases remain poorly constrained in the northern Arabian Peninsula, particularly in the area now occupied by Kuwait. There is evidence that the area once experienced wetter intervals, but it is unclear whether they were driven by incursions of a Tropical Ocean monsoon (summer) or by enhanced Mediterranean (winter) westerlies.

This study investigates the nature of Quaternary humid conditions in Kuwait using petrographic, mineralogical, and oxygen- and carbon-isotope analyses (δ¹⁸O and δ¹³C) of relict pedogenic and paleosol carbonates. A total of 84 soil samples were collected across 21 sites in Kuwait, targeting calcic and petrocalcic horizons. Petrographic thin sections show progressive stages of carbonate development from stages I to III. Stage III carbonates are older and have δ¹⁸O values that cluster between −12 ‰ and +3 ‰ (VPDB) and δ¹³C values between −9 ‰ and 0 ‰. These ranges reflect the coevolution of soil moisture sources and vegetation types. During monsoon-influenced intervals, long-distance moisture transport and the amount effect produce isotopically light rainfall, resulting in carbonates with more depleted δ¹⁸O values. In contrast, carbonates have more isotopically enriched δ¹⁸O values during periods influenced by Mediterranean winter westerlies. The δ¹⁸O values of stage III soil carbonate suggest moisture sourced from both the tropical monsoon and the Mediterranean. Lower δ¹³C values reflect the contribution of soil-respired CO₂ from C₃ plants, whereas higher δ¹³C values reflect a greater contribution of C₄ plants. The δ¹³C values of stage III soil carbonate in Kuwait clearly reflect humid phases sourced from the tropical monsoon and supporting C4 vegetation, as well as winter rainfall from the Mediterranean and supporting C3 vegetation. The determination that Kuwait has experienced wetter conditions in the past from both tropical and Mediterranean sources is important for determining potential future precipitation amounts.

How to cite: Al-Qattan, N., Rech, J., and Currie, B.: What Caused the Greening of Kuwait: An Isotopic Investigation of the Source of Moisture During Quaternary Pluvial Periods in Kuwait, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15946, https://doi.org/10.5194/egusphere-egu26-15946, 2026.

EGU26-19146 | ECS | PICO | GM6.2

Tracing Saharan dust to the Eastern Mediterranean: Integrating mineralogical and isotopic proxies with atmospheric trajectory modelling 

Simon Bitzan, Cécile L. Blanchet, Sylvain Pichat, Georgios E. Christidis, Kerstin Schepanski, and Fabian Kirsten

Long-distance aeolian dust transport is fundamental in shaping dryland environments and adjacent deposition regions, influencing sediment budgets, soil development, and ecosystem functioning. The Eastern Mediterranean constitutes a key corridor for Saharan dust transport, yet multi-proxy studies linking depositional records with atmospheric transport modelling are scarce. This study presents new insights into the provenance, transport dynamics, and seasonal variability of long-range aeolian dust deposited on the island of Crete (Greece), integrating laboratory sediment analyses with simulated air-mass trajectories.

Deposition samples were collected over a 15-month period at seven sites across western Crete, complemented by analyses of local surface material and reference aerosols from North Africa. Mineralogical composition, grain-size distribution, and radiogenic isotope ratios (Nd, Pb, Sr) reveal that deposited material is dominated by long range transported Saharan dust, with only minor local contributions. The persistent presence of palygorskite, uniform silt-dominated grain-size spectra, and isotopic signatures distinct from local substrates clearly indicate a North African origin. Temporal variability greatly exceeds spatial variability, and no substantial topography-related sorting is observed across the Lefka-Ori mountain range.

Seasonal shifts in mineralogical assemblages and isotopic composition indicate changes in dominant source regions, ranging from northeastern Algeria during winter to northeastern Libya and northwestern Egypt in summer, with transitional phases in spring and autumn. Transport-related fractionation is reflected in the depletion of coarse grain-size fractions and soluble minerals such as gypsum, as well as in variable illite/kaolinite ratios, pointing to mixing of particles from multiple source areas rather than single-source contributions.

To evaluate the plausibility of these interpretations and to assess the added value of combining depositional records with atmospheric modelling, laboratory-derived provenance indicators were compared with backward trajectories calculated using the HYSPLIT model for days with increased dust concentrations in the deposition region. The comparison highlights how the integration of mineralogical and isotopic fingerprints, deposition and concentration measurements, and modelled air-mass trajectories enhances the resolution of dust source attribution beyond what each approach can achieve independently.

This combined methodological framework advances our understanding of aeolian processes in large-scale aeolian systems and demonstrates the potential of integrated proxy-model approaches for reconstructing dust dynamics, with implications for geomorphic processes, and human environment interactions in dust-affected regions.

How to cite: Bitzan, S., Blanchet, C. L., Pichat, S., Christidis, G. E., Schepanski, K., and Kirsten, F.: Tracing Saharan dust to the Eastern Mediterranean: Integrating mineralogical and isotopic proxies with atmospheric trajectory modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19146, https://doi.org/10.5194/egusphere-egu26-19146, 2026.

EGU26-20574 | ECS | PICO | GM6.2

Potential dust source areas of Quaternary vega sediments on Lanzarote (Canary Islands) 

Jakob Labahn, Christopher-B. Roettig, Thomas Kolb, Anja-M. Schleicher, Christina Günter, Carsten Marburg, and Dominik Faust

On the eastern Canary Islands, several valleys exist that were dammed later on by volcanic activity. Since that damming, these valleys (locally called “vegas”) have acted as sediment traps. The deposited materials include volcanic material, redeposited (soil-)sediments from the surrounding slopes, and dust originating from the northern African continent. Due to intense postsedimentary calcification processes Vega sections are typically characterised by an alternation of pale-coloured, carbonate-enriched layers (PCL) and reddish, clay-enriched layers (RCL), forming recurring sedimentary sequences.

This study shall contribute to the reconstruction of palaeoenvironmental conditions during the formation of vega sections on Lanzarote, with particular emphasis on aeolian dust deposits. Therefore, we combine grain-size analyses, geochemical (XRF) and mineralogical analyses (XRD), and luminescence dating (IRSL) with a principal component analysis (PCA) to evaluate geochemical fingerprints and compositional end-members.

Four distinct clusters have been identified reflecting different sediment sources and transport pathways. A first cluster is characterised by increased Si, Zr, quartz and plagioclase contents and has been interpreted as short range (silt-dominated) aeolian dust input. A second cluster shows high Al, K and kaolinite loadings and indicates long range (fine-grained) aeolian dust derived from more southerly regions of northern Africa. A third cluster is defined by elevated Fe, Ni and Zn concentrations, which are typical for basaltic source rocks on the eastern Canary Islands and reflect locally derived material. In contrast, Rb–V–enriched samples define a distinct trend, as Rb substitutes for K in fine-grained mineral phases and V is associated with Fe-(hydr-)oxides, pointing to a fine-grained sediment component differentiated from the Ni–Zn–rich basaltic signal and possibly reflecting an additional aeolian contribution. The fourth cluster is associated with Ti and Cr, elements occurring both in Saharan dust and in local basaltic volcanics; however, the presence of K-feldspar suggests a predominantly allochthonous contribution.

The cyclic pattern (alternating PCLs and RCLs) within vega sections highlights the sensitivity of these archives to changing environmental conditions. While variations in grain size, mineralogical composition, and geochemical signatures indicate shifting potential source areas and pathways of dust, the carbonate redistribution in combination with the characteristics of clay-dominated sediment layers reflect changing hydrological and hence palaeoclimatic conditions on the Eastern Canary Islands. Finally, we hope to contribute on the one hand to the understanding of Late Quaternary conditions in an over regional scale and on the other hand to the individual behaviour of the different subterritories.

How to cite: Labahn, J., Roettig, C.-B., Kolb, T., Schleicher, A.-M., Günter, C., Marburg, C., and Faust, D.: Potential dust source areas of Quaternary vega sediments on Lanzarote (Canary Islands), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20574, https://doi.org/10.5194/egusphere-egu26-20574, 2026.

EGU26-21262 | ECS | PICO | GM6.2

Exploring the palaeoenvironmental context of surface archaeology in the Namib Sand Sea 

Tessa Spano, Abi Stone, George Leader, Rachel Bynoe, Ted Marks, Dominic Stratford, Kaarina Efraim, Alexandra Karamitrou, Mark Bateman, Andrew Gunn, Eugene Marais, and Vaibhav Singh

The hyper-arid conditions of the Namib Sand Sea in the present day pose significant challenges for all but some extremely well-adapted species. The presence of a rich-archaeological surface record of stone age lithics at numerous interdunal pan sites raises questions around the evolution of this environment throughout the Quaternary. Specifically, was this region subject to phases of elevated humidity, allowing the proliferation of a network of ‘green corridors’ through which hominin populations exploited this landscape, or were hominins adapted to hostile conditions much like those of today?

Earlier insights into the palaeoenvironmental context of interdune pan sites were provided by Teller et al. (1990), although this was before the development of chronological techniques that could provide reliable age constraint on sediments greater than 100 ka, where we have found the quartz luminescence signal to be in saturation. Feldspar dating protocols will allow us to provide age control for the later part of the Earlier Stone Age and the Middle Stone Age (e.g. Stone et al., 2024). The PANS project (Palaeoenvironmental context of Palaeolithic Archaeology in the Namib Sand Sea) applies single grain and multiple grain multiple elevated temperature infrared-stimulation luminescence (MET-IRSL) alongside a multi-proxy approach to environmental reconstruction at new sites in the northern Namib Sand Sea to situate environmental change and patterns of hominin activity within the regional palaeoclimatic framework. We present MET-IRSL results alongside palaeoclimatic proxies and explore the use of palaeoecological markers, at key new sites visited in 2025. We combine these datasets with remote sensing techniques to reconstruct former watercourses in this hyper-arid environment.

 

Stone, A., Leader, G., Stratford, D., Marks, T., Efraim, K., Bynoe, R., Smedley, R., Gunn, A. and Marais, E., 2024. Landscape evolution and hydrology at the Late Pleistocene archaeological site of Narabeb in the Namib Sand Sea, Namibia. Quaternary Science Advances, 14, p.100190.

Teller, J.T., Rutter, N., Lancaster, N., 1990. Sedimentology and paleohydrology of Late Quaternary lake deposits in the northern Namib Sand Sea, Namibia. Quat. Sci. Rev. 9, 343–364.

How to cite: Spano, T., Stone, A., Leader, G., Bynoe, R., Marks, T., Stratford, D., Efraim, K., Karamitrou, A., Bateman, M., Gunn, A., Marais, E., and Singh, V.: Exploring the palaeoenvironmental context of surface archaeology in the Namib Sand Sea, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21262, https://doi.org/10.5194/egusphere-egu26-21262, 2026.

EGU26-22019 | ECS | PICO | GM6.2

Testing rock magnetic- and colorimetric- based climofunctions at the Middle Pleistocene Köndringen loess-palaeosol-sequence, SW Germany 

Mathias Vinnepand, Christian Zeeden, Tobias Sprafke, Kamila Ryzner, Mohammad Paknia, Felix Martin Hofmann, and Frank Preusser

Global climate oscillations may strongly modify continental precipitation patterns. Understanding the history of these is thus, relevant for comprehending effects of past and ongoing climate change. For this purpose, precipitation estimates in a high spatio-temporal resolution are extremely useful and may be derived from geophysical properties of former land-surfaces such as fossil soils and sediments, if reliable climofunctions are available. Recently, promising transfer functions have been provided by linear regression analyses between geophysical topsoil properties (magnetic and colorimetric) across the Bačka Loess Plateau (Serbia) along a narrow precipitation gradient (MAP: 525±1 mm/a to 584±1 mm/a) and available meteorological data. Whilst these climofunctions need to be expanded regarding the calibrated precipitation range and tested considering different sediment and soil types, they testify to a pronounced sensitivity of geophysical properties to precipitation, exceeding these of MAP- δ13C derived climofunctions. We aim to test multiple climofunctions for geophysical properties using an extended precipitation-calibration range (up to ~1200 mm/a) at the Köndringen loess-palaeosol-sequence (LPS). This site mostly consists of polygenetic palaeosols and pedosediments of varying development that are in parts intersected. This testifies to a complex local geomorphological evolution and consequently, provides a difficult and thus, promising testing environment for the climofunctions at test. A thorough evaluation of these is pivotal as different climatic settings, soil/sediment properties, geomorphological positions and provenance effects may influence the climate-sensitive iron-(hydr-)oxide composition and eventually constrains the applicability of climofunctions. We also directly compare our findings to climate-model output data to assess derived MAP calculations through an independent measure. We contribute a critical assessment to test the potential of climofunctions for geophysical properties for moister western Central European settings that show magnetic enhancement and/or distinct color hues indicative for the presence of goethite and/or hematite.

How to cite: Vinnepand, M., Zeeden, C., Sprafke, T., Ryzner, K., Paknia, M., Hofmann, F. M., and Preusser, F.: Testing rock magnetic- and colorimetric- based climofunctions at the Middle Pleistocene Köndringen loess-palaeosol-sequence, SW Germany, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22019, https://doi.org/10.5194/egusphere-egu26-22019, 2026.

SSS4 – Soil Biology, Microbiology and Biodiversity

EGU26-1300 | ECS | Orals | SSS4.1

Biochar Modulates Leucine Aminopeptidase Hotspots and Kinetics under Salinity Stress in the Wheat Rhizosphere 

Tahereh Hozhabri, Akram Halajnia, Amir Lakzian, and Seyed Sajjad Hosseini

Salinity stress is a major factor limiting microbial activity in soils, as it can impair enzymatic processes by destroying microbial cells and disrupting root exudation. In contrast, biochar, through the improvement of soil physicochemical properties, may stimulate microbial growth and functionality. However, the response of soil enzymes to the simultaneous presence of biochar and salinity stress has been scarcely investigated. In the present study, we assessed the effects of two salinity levels (0 and 150 mM NaCl) under two biochar treatments (0 and 2%) on spatial distribution and kinetic parameters of leucine aminopeptidase (LAP) activity in the rhizosphere of wheat by combining zymography with enzyme kinetics.

In the presence and absence of biochar, salinity reduced the hotspots of LAP activity by 15.8% and 15.7% compared to the respective control, respectively. In contrast, at both biochar levels, salinity increased the rhizosphere extent of LAP compared to the respective control. Biochar nearly doubled hotspots of LAP activity compared to its absence, yet it simultaneously reduced the rhizosphere extent of LAP at both salinity levels. Generally, the highest LAP activity hotspots and the lowest rhizosphere extent of LAP were observed in the of 2% biochar treatment under non-saline condition. The analysis of enzyme kinetics (Vmax, Km) in the hotspots showed salinity caused an increase in enzyme affinity for substrate (Km decreased by 37.9% to 97.2%) at both levels of biochar. In contrast, biochar decreased enzyme affinity for the substrate (as indicated by a 1.1- to 2.2-fold increase in Km) under both salinity levels. Biochar increased potential enzymatic activity (Vmax) in the hotspots, reaching 1.9 times higher than without biochar. Conversely, under salinity conditions, this activity decreased relative to optimal conditions at both biochar levels. Overall, the 2% biochar treatment under non-saline condition showed the highest Vmax and Km, whereas the non-biochar treatment under saline condition indicated the lowest.

These patterns collectively indicate that salinity and biochar exert contrasting controls on rhizosphere enzymatic functioning by modifying both microbial physiology and microhabitat conditions. Salinity imposes physiological stress and reduces root-derived substrates, driving microbial communities toward more dispersed activity and the production of high-affinity enzymes optimized for resource scarcity. In contrast, biochar enhances microhabitat quality, stimulating microbial activity and catalytic capacity despite reducing enzyme affinity, likely due to changes in community composition or enzyme–biochar interactions. Overall, biochar strengthens rhizosphere functioning but cannot fully offset the inhibitory effects of salinity on microbial metabolism and enzymatic efficiency.

How to cite: Hozhabri, T., Halajnia, A., Lakzian, A., and Hosseini, S. S.: Biochar Modulates Leucine Aminopeptidase Hotspots and Kinetics under Salinity Stress in the Wheat Rhizosphere, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1300, https://doi.org/10.5194/egusphere-egu26-1300, 2026.

Root exudates are key drivers of microbial activity and carbon cycling in the rhizosphere, but their transient and localised nature makes microbial responses hard to measure. We used reverse microdialysis to deliver glucose as a root exudate analogue and trace microbial synthesis and carbon allocation.  Deuterated water (D₂O) quantified baseline rates of synthesis in unamended soil, while 13C-glucose traced microbial synthesis fuelled by C from localised glucose input.  Over 72 hours, we quantified incorporation of 2H and 13C into metabolites, membrane lipids, and storage compounds. Glucose perfusion significantly increased microbial respiration and synthesis rates, particularly for polyhydroxybutyrate (PHB) and triacylglycerols (TG), indicating strong stimulation of intracellular carbon storage. The rapid incorporation of 2H and 13C into diacylglycerols (DGs), coupled with slow turnover, suggests DGs may function in intracellular carbon storage or as membrane lipids rather than solely as transient metabolic intermediates.  Glucose perfusion also increased membrane lipid synthesis, with differences in 13C incorporation among membrane lipids indicating differential growth among microbial groups.  In contrast to larger increases in synthesis of intracellular C storage and membrane lipids, synthesis and turnover of compatible solutes such as trehalose and mannitol were largely unaffected by glucose perfusion, implying their roles are independent of carbon supply and tied to metabolic regulation in well-watered soil. Our results highlight the utility of reverse microdialysis and dual isotope labelling for disentangling effects of root exudates on microbial metabolism. This approach provides new insights into how localized carbon inputs shape microbial function and community dynamics, and emphasises intracellular carbon storage as a key microbial response for coping with transient resource availability in the rhizosphere.

How to cite: Warren, C.: Reverse Microdialysis and Isotope Labelling Reveal Microbial Strategies for Carbon Storage in the Rhizosphere, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2294, https://doi.org/10.5194/egusphere-egu26-2294, 2026.

EGU26-2809 | ECS | Orals | SSS4.1

Temporally resolved microbial community dynamics reveal the parallel proliferation of copiotrophic bacteria, fungi and protists after labile substrate addition irrespective of nitrogen availability 

Martin-Georg Endress, Longfei Kang, Nourhan El Kouche, Kenneth Dumack, Sergey Blagodatsky, and Michael Bonkowski

Microbial metabolism represents the major pathway for both the formation and the decomposition of soil organic matter, as carbon (C) consumed by microbes is either respired during catabolism and leaves the soil system as CO2 or is incorporated into new biomass compounds during anabolism and eventually becomes stabilized as microbial necromass. The partitioning of C between these two metabolic branches, also known as the microbial carbon use efficiency (CUE), depends on the complex interplay of many factors such as the quality of the carbon substrate and the availability of nutrients such as nitrogen (N) and phosphorus (P).

In this contribution, we combined measurements of soil respiration, DNA and RNA content with highly temporally resolved metatranscriptomics and dynamic modeling to study microbial activity and community changes in an arable soil after batch input of glucose as a labile C source and further factorial addition of N and P sources in mineral form. While the respiration results indicated a strong N limitation in the studied soil, we observed similar short-term changes in the bacterial, fungal and protist communities regardless of nutrient addition, with an expansion of copiotrophic taxa in all three groups. Notably, while the resulting communities were comparable after two days, these shifts occurred at a faster rate in treatments that received additional N. These observations suggest that glucose stimulated the growth of the same species in the soil under both nutrient-rich and nutrient-poor conditions, with N availability modulating the kinetics and the efficiency of copiotroph growth instead of stimulating a distinct group of specialists adapted to nutrient limitation. This interpretation is also supported by the observed ratio of RNA to DNA as a metric of microbial activity status as well as by a simple dynamic model of microbial growth, both of which reveal a faster activation and more efficient growth in nutrient-rich treatments.

Overall, our findings demonstrate that the input of a labile C source determines a relatively small subset of actively growing copiotrophs in the bacterial, fungal and protist communities, whereas the stoichiometric availability of other nutrients such as N only controls the rate and efficiency with which
these species are able to grow.

 

How to cite: Endress, M.-G., Kang, L., El Kouche, N., Dumack, K., Blagodatsky, S., and Bonkowski, M.: Temporally resolved microbial community dynamics reveal the parallel proliferation of copiotrophic bacteria, fungi and protists after labile substrate addition irrespective of nitrogen availability, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2809, https://doi.org/10.5194/egusphere-egu26-2809, 2026.

EGU26-4089 | Orals | SSS4.1

Microbial growth rate is a stronger predictor of soil organic carbon than carbon use efficiency 

Xianjin He, Gaëlle Marmasse, Junxi Hu, Rebecca M. Varney, Stefano Manzoni, Philippe Ciais, Ying-Ping Wang, Yongxing Cui, Edith Bai, Rose Z. Abramoff, Elsa Abs, Erik Schmidt, Haicheng Zhang, and Daniel S. Goll

The extent to which microbial processes control soil organic carbon (SOC) dynamics remains uncertain. Carbon use efficiency (CUE)—the fraction of assimilated carbon allocated to growth—has been used as a key parameter, but its relationship with SOC reflects carbon partitioning rather than the absolute magnitude of microbial fluxes. Microbial growth rate could provide a more mechanistic link to SOC accumulation, as it quantifies biomass production and reflects necromass formation. Here we combine a global ¹⁸O–H2O dataset (n = 268 paired observations) with outputs from four land surface models to test whether growth rate predicts SOC more strongly than CUE. In the incubation experiments, growth rates are more closely associated with SOC than CUE, although soil properties and climate explain equal or greater variance. Models reproduce the stronger role of growth rate over CUE but tend to underestimate the abiotic controls. The models also emphasize CUE as the main predictor of the SOC/NPP ratio, in contrast to observations, which indicates the soil’s capacity to retain plant carbon inputs. Together, these findings identify microbial growth rate as a diagnostic that can help bridge models with empirical data and guide a more balanced representation of microbial and mineral controls in SOC projections.

How to cite: He, X., Marmasse, G., Hu, J., Varney, R. M., Manzoni, S., Ciais, P., Wang, Y.-P., Cui, Y., Bai, E., Abramoff, R. Z., Abs, E., Schmidt, E., Zhang, H., and Goll, D. S.: Microbial growth rate is a stronger predictor of soil organic carbon than carbon use efficiency, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4089, https://doi.org/10.5194/egusphere-egu26-4089, 2026.

The adoption of biodegradable plastics, such as poly (butylene adipate-co-terephthalate) (PBAT), in agriculture is promoted as a sustainable alternative to conventional polyethylene (PE) mulching. However, concerns persist regarding their incomplete degradation into microplastics (MPs) and their long-term impact on soil ecosystems. Based on a multi-year field experiment initiated in 1998 with a completely randomized design comparing three treatments: no mulching (NoMul), continuous PE mulching (PolyMul), and a transition from 15 years of PE to 11 years of biodegradable film (PBAT) mulching (BioMul). We evaluated the effects of mulch transition on soil carbon dynamics, microbial communities, and MPs accumulation.

Results show that soils under BioMul accumulated a higher load of MPs than those under PolyMul, with the presence of finer particles and unique polymer intermediates indicating ongoing degradation. Despite MPs accumulation, BioMul increased total soil organic carbon (SOC) and the mineral-associated organic carbon (MAOC) fraction throughout the soil profile (0–100 cm). In surface soil (0–30 cm), SOC under BioMul was 4.0–13.0% higher than under PolyMul or NoMul. This carbon accrual was accompanied by an increase in avtive carbon pools, with dissolved organic carbon (DOC) and microbial biomass carbon (MBC) showing higher concentrations under BioMul in 0–30 cm and 60–100 cm depths. Microbial alpha diversity was decreased, while community composition shifted toward a more functionally integrated structure, characterized by the enrichment of bacterial phyla such as Proteobacteria and Bacteroidetes, and increased fungal (Ascomycota) participation. Co-occurrence network analysis further revealed that BioMul formed a more connected and robust microbial network with stronger bacterial-fungal associations, indicating improved functional synergy within the soil microbiome.

Our findings demonstrate that long-term biodegradable film mulching can increase both stable carbon pools, while fostering a cooperative and functionally integrated microbial community, despite the accumulation of MPs. This study provides field evidence that PBAT mulch supports key aspects of soil ecological function and highlights the importance of management practices in realizing the environmental benefits of biodegradable plastics in agriculture.

How to cite: Jiang, R. and Wang, K.: Biodegradable Film Mulching Increases Soil Carbon Sequestration and Microbial Network Complexity in a Long-Term Field Study, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4455, https://doi.org/10.5194/egusphere-egu26-4455, 2026.

Microbial life in soils is highly heterogeneous in space and time, as the intensity of microbial activities and processes depends strongly on the availability of nutrients and water, as well as a wide range of environmental factors. Identifying these hotspots requires high-resolution approaches, which can be achieved using advanced soil imaging techniques. In parallel, molecular methods provide powerful tools to characterize the microbial community structure and functional potential within these regions.

In this talk, I will present the opportunities and challenges associated with soil zymography for detecting microbial hotspots by mapping the activity of enzymes directly in soil over time and space. Additionally, I will demonstrate how molecular techniques, such as DNA sequencing, can be employed to identify the dominant microbial species inhabiting particular hotspots and determine which microorganisms are active and what functions they perform. Finally, I will discuss how co-localizing different imaging approaches combined with molecular methods can help to distinguish between microbial strategies for acquiring nutrients, offering new insights into how soil microbes drive key ecosystem processes.

How to cite: Bilyera, N.: Seeing the Invisible: Opportunities and Challenges in Studying Microbial Life in Hotspots, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5080, https://doi.org/10.5194/egusphere-egu26-5080, 2026.

EGU26-7494 | ECS | Posters on site | SSS4.1

Different methods, different growth rates: disentangling in situ microbial growth quantification 

Yujia Luo, Judith Prommer, Lisa Stein, and Andreas Richter

Microbial growth drives carbon mineralization, nutrient turnover, and nearly all biogeochemical cycling. Accurately quantifying (in-situ) microbial growth rates is therefore fundamental for linking microbial activity to soil processes and ecosystem functioning, not only in soils but across ecosystems. Numerous methods have been developed for this purpose. Microbial growth varies across soil properties (e.g., soil type, substrate quantity and quality, pH) and microbial life-history strategies (e.g. oligotrophic vs. copiotrophic lifestyles). At the same time, methodological differences, whether or not they depend on soil and microbial characteristics, make it difficult to compare microbial growth rate across studies, with community-level estimates frequently spanning several orders of magnitude.

Here, we aim to benchmark commonly used microbial growth measurements in soil to enable meaningful comparison of in situ microbial growth rates and ultimately improve our understanding of microbial contributions to soil carbon and nutrient dynamics. We conducted a systematic comparison of four widely applied growth methods across contrasting soils and depths. These included two substrate-free stable isotope probing (SIP) approaches: ¹⁸O–DNA-SIP (incorporation of labelled water into DNA) and 2H–FAME-SIP (incorporation of labelled water into phospholipid fatty acids), as well as two radioactive isotope approaches using labeled organic substrates: the ¹⁴C-leucine method (incorporation of labelled leucine into protein) and ³H-thymidine method (incorporation of thymidine into DNA). Soils were collected from four forest sites around Vienna, spanning sandy to clay-rich textures, at two depths. Incubation experiments were initiated under identical conditions with sieved soil in the lab.

Across all four methods, consistent patterns were observed: topsoils exhibited higher microbial growth rates and respiration than subsoils, with higher moisture and organic matter availability. Despite these shared trends, substantial methodological divergence was observed in estimated specific growth rates within the same soils. This divergence is expected, as the four methods target distinct cellular processes and macromolecular pools (DNA, protein, lipids). Comparability among methods implicitly assumes balanced growth, where all cellular components are synthesized at a given rate, that doesn’t change with external conditions. In natural environments, however, microorganisms frequently experience unbalanced growth, where cell division and synthesis of storage compounds or other metabolic processes become decoupled from each other. In addition, radiotracer approaches rely on extraction of microbes from soil and use of carbon-substrates that may not be taken up at the same rate by all microbial taxa, whereas SIP methods are applied directly to intact soils without substrate addition, introducing further variability in growth estimates. Consequently, carbon use efficiencies (CUE), derived by the four methods, were significantly different.

In summary, our study provides the first controlled comparison of four widely used methods to measure in situ soil microbial growth. Our results demonstrate how methodological choices shape apparent microbial growth rate estimates and identify systematic sources of variation among approaches. By deriving empirically based conversion factors between methods, our work facilitates cross-study comparisons and synthesis, ultimately advancing our understanding of microbial growth and its role in soil ecosystem functioning.

How to cite: Luo, Y., Prommer, J., Stein, L., and Richter, A.: Different methods, different growth rates: disentangling in situ microbial growth quantification, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7494, https://doi.org/10.5194/egusphere-egu26-7494, 2026.

EGU26-8161 | ECS | Orals | SSS4.1

Constrained hybrid modelling to predict microbial dynamics and organic matter turnover in soil systems 

Paul Collart, Jürgen Gall, Andrea Schnepf, Lars Doorenbos, and Holger Pagel

Soil microorganisms control organic matter cycling and, to a large extent, determine how soil systems can cope with and mitigate climate change and environmental threats. Integrating them explicitly into process-based soil models is critical for predicting how soil carbon (C) flows and stocks change in ecosystems with time. Models are critical tools for integrating datasets with theory. However, integrating information from modern omics-based datasets is a challenge due to the nonlinear relationship between genomes and the actual function microbes express in their local environment. Functional traits can be defined and inferred from these genomic datasets to better leverage their information and better understand the complexity of the soil microbiome. Integrating trait information with process-based microbially explicit models provides an opportunity leverage genomic data for an improved soil carbon prediction.

We present a hybrid modeling framework that uses a data-driven neural network approach to derive microbial parameters of process-based models from metagenome inferred functional traits, leveraging information from metagenomic and DNA sequencing datasets. We combine a neural network (multi-layer perceptron) with a process-based soil model to set up a hybrid model. The neural network uses genomic trait data as the input and predicts biokinetic parameters of the process-based model. We trained the hybrid model with synthetic genomic trait datasets of varying complexity and time series of state variables of the process-based model (e.g. carbon dioxide production) to demonstrate the approach. Using trait inference from genomes, the model can learn several biokinetic parameters such as growth rates, dormancy rates, affinities to organic matter, growth yields or decay rates. The training uses a complex constraint-based loss function, informing the model from ecological theory and literature data, ensuring the realistic behavior of every non observed state variable during training such as active and dormant microbial pools. Compared to a ‘naïve’ hybrid model, the use of a more complex loss function reduces model equifinality and ensure realistic behavior of the non-observed state variables. Naïve loss function cannot efficiently learn the behavior of non-observed state variables and fail to predict realistic microbial dynamics. We present i) the concept of the hybrid soil modelling framework, ii) the constraint-based loss function approach, iii) the performance of constrained versus naïve hybrid models after training with different synthetic datasets.

How to cite: Collart, P., Gall, J., Schnepf, A., Doorenbos, L., and Pagel, H.: Constrained hybrid modelling to predict microbial dynamics and organic matter turnover in soil systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8161, https://doi.org/10.5194/egusphere-egu26-8161, 2026.

EGU26-8645 | ECS | Orals | SSS4.1

From Buffering to Collapse: A Hump-shaped Rhizosphere Response to Shelterbelt Forest Degradation 

Guan Wang, Huijie Xiao, Linlin Shi, Tianshuo Liu, Zhiming Xin, Chenxi Yang, and Junran Li

Forest degradation is widely assumed to drive a monotonic decline in belowground functioning, yet plant-soil feedbacks may transiently buffer stress. We tested this idea by quantifying the rhizosphere effect (RE), the percent difference between rhizosphere and bulk soil, for soil carbon (C), nitrogen (N) and phosphorus (P) pools, enzymatic activities, and microbial biomass across four degradation stages in three types of shelterbelt forests. We found that RE generally increased or remained stable from undegraded to mild-moderate degradation stage and then declined sharply at severe degradation stage. This pattern was consistent across species but differed in amplitude, with Populus thevestina showing the largest early increases, Populus alba maintaining RE longer before decline, and Populus popularis sustaining higher RE for N-acquiring enzymes at early degradation stages. Early positive RE coincided with lower pH and higher water-soluble organic carbon (WSOC), soil water content (SWC), NH₄+, and NO₃⁻ in rhizospheres, conditions that stimulate microbial activities and nutrient turnover. As degradation intensified, RE contracted toward zero or negative values, reflecting reduced root exudation and weaker plant-microbe feedbacks. Random-forest and redundancy analyses highlighted rhizosphere P, rhizosphere N, bulk soil WSOC, rhizosphere SWC, and bulk-soil stoichiometry as the most influential factors, consistent with a transition from compensatory stimulation to functional collapse beyond a tipping zone. Our study provides the first field evidence that rhizosphere functioning responds nonlinearly to forest degradation. Recognizing this transient compensatory phase advances our understanding of ecosystem belowground resilience and can inform the intervention windows for dryland forest restoration.

How to cite: Wang, G., Xiao, H., Shi, L., Liu, T., Xin, Z., Yang, C., and Li, J.: From Buffering to Collapse: A Hump-shaped Rhizosphere Response to Shelterbelt Forest Degradation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8645, https://doi.org/10.5194/egusphere-egu26-8645, 2026.

EGU26-9990 | Posters on site | SSS4.1

Consumption of easily-available carbon does not alter microbial carbon use efficiency in soils 

Lingling Shi, Guodong Shao, Callum C. Banfield, Xin Xu, Weichao Wu, Kyle Mason-Jones, and Michaela A. Dippold

Microorganisms metabolize soil organic carbon (C) as a source of energy and biosynthetic precursors. Conventional metabolic flux analysis (MFA), coupled to 13C-labelling, can reconstruct C allocation through central metabolic pathways, but only reflects mass flow and not the thermodynamics of metabolism. We coupled metabolic energetics (13C), mass flow (18O) and calorespirometry in soil using an optimal set of isotopomer tracers. Fifteen position-specific or uniformly 13C-labelled isotopomers - four for alanine, seven glucose, and four glutamic acid – were added to a Luvisol, and substrate-derived 13CO2 fluxes along with microbial use efficiencies (CUE and SUE) were quantified as well as heat dissipation via isothermal microcalorimetry. Our results demonstrate that the temporal dynamics of catabolic CO2 release resemble that of heat dissipation, with both peaking approximately 18 h after substrate addition, irrespective of whether the tracer enters the central metabolic pathway at the monosaccharide level (glucose), at the pyruvate level (alanine) or the citric acid cycle (glutamic acid). This indicates that heat dissipation during the growth phase was strongly dominated by the microbial metabolic processes. Heat dissipation declined disproportionally compared to C mineralization after multiplicative growth, resulting in a lower calorespirometric ratio. Substrate-derived microbial biomass C (13C-MBC) pools showed that amino acids were incorporated, and retained in the biomass with intensive recycling, whereas glucose gets taken up, incorporated but ongoingly consumed, which leads to the peak biomass. This suggests that sugar may be a good tracer for metabolism. Glucose isotopomer utilization indicated dominance of the pentose phosphate and Entner Douderoff pathways over glycolysis, suggesting high activity of fast-growing organisms with considerable C allocation to anabolism. While calorespirometric ratio declined stepwise from 2426 kJ mol-1 , SUE and EUE were close to 100% during initial stage after the addition and declined when substance respiration started. In contrast, neither 18O-water- nor 13C-MFA-based CUE were altered by substrate supply, indicating that exogeneous substrate did not alter the microbial utilization and microbial quick regulation. Therefore, substrate mixtures do not induce a major shift in metabolic pathways during growing on them, leaving overall CUE largely unaffected. This study shows that the heat dissipation of growing microbial communities under high C supply is closely linked to their catabolic CO2 release. Consumption of easily-available carbon does not alter CUE (i.e. metabolic and physiological state of the soil microbiome), but strongly reduces SUE and EUE during ongoing substrate use. We furthermore demonstrated that coupled MFA and calorespirometry provides a powerful tool to understand in-situ microbial C and energy use in soils.

How to cite: Shi, L., Shao, G., Banfield, C. C., Xu, X., Wu, W., Mason-Jones, K., and Dippold, M. A.: Consumption of easily-available carbon does not alter microbial carbon use efficiency in soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9990, https://doi.org/10.5194/egusphere-egu26-9990, 2026.

Soil organic carbon (SOC) sequestration is closely linked to the functioning of microbial communities present in soil microenvironments. However, it is unclear how the distribution of microbial communities or carbon resources within soil pore space influences the formation and long-term storage of microbial necromass. Using a cellular automaton simulating the exploration of pore space by bacterial cells, we estimated the relative production of necromass in different soil pore sizes, taking into account (i) the initial distribution of carbon resources used by microbial cells, (ii) soil moisture, and (iii) the microbial biomass recycling threshold. We show that carbon resources located in macropores are consumed more rapidly than those located in narrow pores. Microbial mobility appears to be highly dependent on the pore context: it is advantageous in connected macropores but becomes costly and inefficient in confined micropores, reducing carbon-use efficiency. Necromass tends to accumulate preferentially in small pores, where reduced connectivity limits its recycling. These results highlight the importance of soil spatial organization and water status in regulating microbial carbon fluxes and suggest that explicit integration of pore heterogeneity and microbial functional traits is essential for improving soil carbon dynamics models.

How to cite: Maestrali, M.: How do pore size and microbial mobility shape necromass distribution in soils ?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10654, https://doi.org/10.5194/egusphere-egu26-10654, 2026.

EGU26-11278 | Orals | SSS4.1

Hydrogen isotopes of lipids as a proxy for central metabolism and carbon use efficiency in soil microbes 

Nemiah Ladd, Nathalie Amacker, Reto Wijker, Laura Meredith, and Daniel Nelson

Microbial carbon use efficiency (CUE) represents the proportion of carbon consumed by microbes that is accumulated in biomass instead of respired, and is important for understanding carbon cycling and storage in soils. Existing methods for quantifying CUE rely on additions of isotopically labeled material and/or incubations in laboratory settings, which may differ from in situ conditions. We propose an alternative strategy to study microbial growth and metabolism using hydrogen isotopes of microbial phospholipid fatty acids (δ2HPLFA). 

In bacterial monocultures, δ2HPLFA values are strongly influenced by central metabolism. In particular, the most 2H-depleted PLFAs produced by heterotrophic bacteria are those with precursors derived from the Embden-Meyerhof-Doudoroff (EMP) and pentose phosphate pathways. When glycolysis proceeds through the Entner-Doudoroff (ED) pathway, fatty acids are significantly enriched in 2H. However, the highest δ2HPLFA values are from cultures grown on precursors from the tricarboxylic acid (TCA) cycle as the sole carbon source. These naturally occurring differences in δ2HPLFA values in cultures are one to two orders of magnitude greater than spatial and temporal variability soil water δ2H values. Therefore, δ2HPLFA values offer the opportunity to detect relative changes in TCA activity by soil microbes. As the TCA cycle is typically associated with higher respiration and lower CUE, and specific PLFAs are primarily derived from distinct microbial groups, δ2HPLFA values have potential as indicators of CUE for different groups of soil microbes.

Soil communities are inherently more diverse and dynamic than monocultures. As a first step to assess the utility of δ2HPLFAs as indicators of group-specific metabolism, we established a two-species system using a gram-negative bacteria (Pseudomonas sp.) and gram-positive bacteria (Bacillus sp.). These taxa produce distinct PLFAs from each other and utilize distinct pathways for glycolysis. We grew monocultures and co-cultures in a minimum media (M9) with either glucose or succinate as the sole carbon source. We harvested cultures at mid-exponential phase and measured δ2H values of extracted fatty acids.

First, we confirmed the results of previous monocultures with different strains of Pseudomonas and Bacillus. When grown on glucose, Bacillus, which uses the EMP pathway, produced fatty acids with an average δ2H value of -184 ± 12 ‰, while Pseudomonas, using the ED pathway, produced fatty acids with an average δ2H value of -20 ± 2 ‰. When they were grown on succinate and thereby forced to rely on the citric acid cycle, both bacteria produced fatty acids that were much more enriched in 2H (δ2H = +24 ± 5 ‰ for Bacillus and +192 ± 5 ‰ for Pseudomonas). When grown in co-cultures on glucose, δ2H values for PLFAs produced by Bacillus were similar to when it was grown alone on glucose (-189 ± 8 ‰), but δ2H values for PLFAs produced by Pseudomonas increased to +58 ± 18 ‰, indicating an increase in TCA cycle activity due to consumption of acetate secreted by Bacillus. These results demonstrate how metabolic changes driven by community interactions can be detected through δ2HPLFA values and provide a foundation for applications in more complex systems.

How to cite: Ladd, N., Amacker, N., Wijker, R., Meredith, L., and Nelson, D.: Hydrogen isotopes of lipids as a proxy for central metabolism and carbon use efficiency in soil microbes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11278, https://doi.org/10.5194/egusphere-egu26-11278, 2026.

EGU26-11679 | Posters on site | SSS4.1

Thermodynamic quantification of microbial energy turnover in soils using calorespirometry  

Yuan Du, Sonia Ohls, Anja Miltner, Matthias Kastner, and Thomas Maskow

Microbial processes play a key role in soil organic matter turnover and stabilisation, by controlling both matter and energy fluxes. While carbon cycling has been intensively studied, microbial energy fluxes - and their conservation during soil biogeochemical processes - remain insufficiently explored. Existing thermodynamic concepts and calorimetric approaches provide important insights, but they often rely on oversimplified representations of microbial metabolism and do not sufficiently account for soil heterogeneity, redox dynamics, and the simultaneous occurrence of multiple turnover processes

This study aims to develop a solid thermodynamic framework for assessing microbial energy turnover in soils by linking calorimetric heat flux measurements with carbon-fluxes (CO2 evolution, substrate consumption, biomass formation, etc.) within an enthalpy-based balance approach, using cellobiose turnover as an example.

The framework will be explored in controlled soil experiments covering a range of redox conditions, availability of biomass building blocks, and the abundance of the microbial catalysts. A key focus will be the quantitative reliability of thermodynamic balances derived from current experimental methods. To address this, we are initiating a calorimetric interlaboratory comparison. Furthermore, we will outline first concepts for extending the framework toward Gibbs energy changes, entropy production, and energy conservation in complex soil systems.

The poster presents the conceptional framework and experimental approaches, together with initial results demonstrating how calorespirometric and C-flux data can be integrated to quantify microbial energy turnover in soils.

 

[1] M. Kästner et al., Assessing energy fluxes and carbon use in soil as controlled by microbial activity – a thermodynamic perspective, Soil Biology & Biochemistry, 193, 109403 (2024).

How to cite: Du, Y., Ohls, S., Miltner, A., Kastner, M., and Maskow, T.: Thermodynamic quantification of microbial energy turnover in soils using calorespirometry , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11679, https://doi.org/10.5194/egusphere-egu26-11679, 2026.

EGU26-12541 | Orals | SSS4.1

Accumulation of mineral-associated organic carbon under decade warming on the Tibetan Plateau 

Ji Chen, Siyi Sun, Jiacong Zhou, Yixuan Zhang, Xin Chen, Shuo Liu, Lei Liu, and Yalan Chen

Soil carbon persistence under climate warming depends critically on how microbial processes regulate the transformation and stabilization of organic inputs. In cold alpine ecosystems, low temperatures constrain microbial metabolism, and warming has the potential to reshape microbial carbon processing with long-term consequences for soil organic carbon (SOC) storage. Using a 14-year in situ warming experiment in an alpine meadow on the Qinghai–Tibetan Plateau, we examined how sustained temperature increases alter microbially mediated SOC fractions across soil depths. Warming did not change particulate organic carbon (POC), but led to a pronounced accumulation of mineral-associated organic carbon (MAOC), increasing by 11% in surface soils and 6% in subsoils. This enrichment was driven by enhanced formation of iron- and aluminum-associated organic carbon in topsoil and calcium-associated organic carbon in deeper layers. Notably, MAOC stocks were tightly linked to fungal biomass and fungal-derived necromass carbon, indicating that warming preferentially stimulates fungal pathways that channel microbial residues into mineral-stabilized carbon pools. In contrast, the stability of POC under warming likely reflects counteracting effects of increased plant inputs and accelerated microbial breakdown. Together, these findings demonstrate that long-term warming reorganizes SOC through microbially driven mineral associations rather than bulk carbon inputs, highlighting microbial necromass formation and organo–mineral interactions as key mechanisms governing carbon stabilization in cold-region soils under climate change.

How to cite: Chen, J., Sun, S., Zhou, J., Zhang, Y., Chen, X., Liu, S., Liu, L., and Chen, Y.: Accumulation of mineral-associated organic carbon under decade warming on the Tibetan Plateau, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12541, https://doi.org/10.5194/egusphere-egu26-12541, 2026.

EGU26-13129 | ECS | Orals | SSS4.1

Global control of both temperature and microbes on soil carbon 

Rebecca M. Varney, Erik Schwarz, Xianjin He, and Stefano Manzoni

While soil biotic and abiotic processes control carbon emissions and storage in terrestrial ecosystems, biotic processes are key for understanding the future fate of carbon. The faster the rate of decomposition and the lower the fraction of decomposed carbon that is converted to new biomass, the more carbon released to the atmosphere. Despite this known pathway, quantifying this control is uncertain in models. Microbial implicit models capture general environmental controls, but omit direct controls of microbial biomass and its interactions with organic matter. Microbial explicit models account for key processes, but are prone to instability and parameter identifiability issues. This leads to the question, is there an alternative approach that blends simplicity and sufficient process representation? Here, we test whether metabolic theory of ecology (MTE) can be used for predictions of soil carbon fluxes and storages. MTE captures key features of biological processes at the individual level by considering both body size and temperature effects on metabolic rates, and can be used to scale up controls to a community or ecosystem level. Motivated by the need to explain variations in soil carbon fluxes and storages with intermediate-complexity, robust models, MTE is shown to explain scaling relations between respiration rates and microbial biomass, microbial growth rates and temperature, and between the contents of soil organic carbon and microbial biomass. This presents an opportunity to compare scaling relations in observational data and models, and potential to provide insight into global scale parameterising of microbial explicit models. This may help to reduce uncertainties in the future carbon feedback in the soil.

How to cite: Varney, R. M., Schwarz, E., He, X., and Manzoni, S.: Global control of both temperature and microbes on soil carbon, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13129, https://doi.org/10.5194/egusphere-egu26-13129, 2026.

EGU26-14188 | Posters on site | SSS4.1

Tracing litter-derived soil organic nitrogen across the intact soil structure at microscale 

Werbson Lima Barroso, Vincent Poirier, Pierre-Luc Chagnon, Carmen Hoeschen, Steffen Schweizer, Gertraud Harrington, Joann K. Whalen, Denis Angers, and Isabelle Basile-Doelsch

At the microscale, soil organic matter (OM) and the mineral matrix are highly heterogeneous, shaping microbial activity and nitrogen (N) transport within soils and thereby influencing detritusphere formation. Although native soil OM determines the stabilization of new organic inputs in bulk soil, it is unclear whether the native soil OM is also controlling processes at the microscale, within the detritusphere. Here, using Nanoscale Secondary Ion Mass Spectrometry (NanoSIMS), we examine the microscale spatial expression of native soil OM effects on detritusphere formation through direct isotopic mapping. Intact soil macroaggregates (1–2 mm) from topsoil and subsoil differing only in native OM content and containing occluded 15N-labelled straw were analysed by NanoSIMS (30 µm fields of view; ~120 nm lateral resolution) after 51 days of incubation. Two-dimensional mosaic images show that litter-derived N is redistributed into the surrounding soil matrix as discrete, micrometre-scale hotspots extending up to 150 µm from particulate OM. In both topsoil and subsoil, the size, spatial separation, and persistence of these hotspots are consistent with biologically structured transfer pathways, potentially moving along the saprotrophic fungal hyphae and through micropores within macroaggregate. Hotspots were more abundant in subsoil than in topsoil, consistent with more mineral binding sites and greater microbial acquisition of scarce N resources in low-OM subsoils. The observed microscale heterogeneity in the redistribution of litter-derived N within the mineral matrix of the detritusphere illustrates the importance of spatially explicit biological processes and soil architecture in governing soil N dynamics within macroaggregates.

How to cite: Lima Barroso, W., Poirier, V., Chagnon, P.-L., Hoeschen, C., Schweizer, S., Harrington, G., K. Whalen, J., Angers, D., and Basile-Doelsch, I.: Tracing litter-derived soil organic nitrogen across the intact soil structure at microscale, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14188, https://doi.org/10.5194/egusphere-egu26-14188, 2026.

EGU26-16596 | ECS | Posters on site | SSS4.1

Estimating Effects of Microbial Functional Diversity on Marsh Ecosystem Carbon Balance  

Michelle Schimmel, Albert Dumnitch, Wolfgang Streit, and Philipp Porada

Microbial processes are known to substantially influence carbon dynamics in soil, which can be altered by changes in community structure. However, the explicit representation of soil microbial diversity in ecosystem models is still in need of improvement. Model-based estimates are crucial to quantify links between functional diversity of soil microbes and ecosystem functioning, in particular soil carbon turnover and storage.

Incorporating functional diversity is well established in vegetation models and is the methodological basis for the presented approach. Trait-based modelling is used here to directly connect community structure to corresponding carbon fluxes and thereby enable implications for the marsh soils of the Elbe estuary, which represent an important carbon sink. Modelled microbial diversity is based on multiple functional types that vary in key traits related to carbon cycling. The simulated microbial community develops population dynamics based on the environmental conditions, leading to selection of certain functional types. This allows predictions of the abundances and potential shifts in the community structure resulting in altered soil carbon dynamics. Parameter values for the microbial model are derived from empirical data and a specifically developed experimental approach that investigates microbial growth and uptake kinetics. We assess the impact of functional diversity on carbon dynamics in marsh soils by comparing soil carbon fluxes in the model with and without explicitly modelled microbial functional diversity. The findings of the study are expected to enhance projections of soil organic carbon storage in wetland ecosystems as well as emphasizing the role of microbial functional diversity for ecosystem carbon dynamics.

How to cite: Schimmel, M., Dumnitch, A., Streit, W., and Porada, P.: Estimating Effects of Microbial Functional Diversity on Marsh Ecosystem Carbon Balance , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16596, https://doi.org/10.5194/egusphere-egu26-16596, 2026.

Pyrogenic carbon (PyC), commonly applied as biochar in agricultural soils, is widely promoted as a stable carbon pool for climate mitigation. However, this passive framing overlooks the central role of microbial metabolism and turnover in governing PyC-associated carbon cycling. Here, our study reveal that biochar should be conceptualized not as an inert carbon reservoir but as a dynamic microbial interface that actively regulates soil carbon turnover through coupled heterotrophic and autotrophic processes. Drawing on incubation experiments, microbial functional profiling, and field-scale analyses, we show that biochar–microbe interactions are driven by integrated physical, chemical, and biological mechanisms. Biochar restructures microbial habitats through pore-mediated colonization, nutrient retention, and pH buffering, while simultaneously enabling extracellular and interspecific electron transfer that mediates redox-sensitive metabolic pathways. These processes directly regulate microbial metabolic activity, community structure, and functional assembly, positioning biochar as an active regulator of soil biogeochemical function. Biochar-induced priming effects on native soil organic carbon (SOC) arise primarily from shifts in microbial metabolic strategies rather than from carbon recalcitrance alone. Biochar promotes SOC persistence by stabilizing soil physicochemical conditions and selectively enriching microbial consortia associated with reduced heterotrophic disturbance and efficient secondary metabolite turnover. These findings identify microbial accessibility and functional redundancy as key determinants of carbon turnover and persistence in biochar-amended soils. Critically, biochar also activates an overlooked autotrophic carbon input pathway. We demonstrate that biochar substantially alters Calvin cycle–mediated CO₂ fixation by regulating the abundance, activity, and community structure of cbbL- and cbbM-containing autotrophic microorganisms. The rhizosphere emerges as a hotspot of biochar-enhanced CO₂ assimilation. This autotrophic CO2 fixation is tightly coupled with essential elemental cycling in soil, integrating PyC-driven microbial metabolism into broader soil biogeochemical networks. Our study supports a conceptual shift from passive PyC stabilization to microbially regulated carbon turnover, highlighting microbial metabolism and turnover as central controls on long-term soil carbon sequestration and soil function.

How to cite: Zhu, X.: From heterotrophic priming to autotrophic CO₂ fixation: biochar-driven shifts in microbial turnover of soil carbon, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17741, https://doi.org/10.5194/egusphere-egu26-17741, 2026.

EGU26-18157 | ECS | Orals | SSS4.1

Microscale mechanisms behind the priming effect - Insights from a novel experimental model system 

Moritz Mohrlok and Christina Kaiser

Pulses of labile substrate, as for example exuded by plant roots, have been shown to accelerate decomposition of complex Soil Organic Matter (SOM), with strong implications for soil carbon balance and the global carbon cycle. Despite its importance, the mechanisms behind this so-called priming effect’ are still not fully clear. Most studies to date focus on investigating priming effects at the bulk soil scale. However, as this effect is caused by the action of soil microbes, it can be assumed that it fundamentally emerges from microscale processes. Observing the activities of microbial decomposers at the microscale could thus be the key for a better mechanistic understanding of the priming effect, but this has been hampered by technical challenges of microscale in-situ observations in soil so far. 

Here, we present a novel approach to study the priming effect on scales relevant to its main actors. We developed a microfluidic model system and image analysis pipeline that allows us to track microbes living on transparent agarose patches containing carboxymethylcellulose (CMC) with time-resolved fluorescence microscopy. Using this system, we exposed fluorescently tagged cellulose-degrading soil bacteria (Bacillus subtilis) to pulses of labile substrate at different concentrations. Total CMC decomposition was finally assessed by Congo Red staining of the substrate patches.

After 42 days of incubation with periodic observations, we observed a positive priming effect in our system: Increased decomposition of CMC upon addition of enough labile substrate. Our image analysis suggests that different mechanisms caused decomposition at different substrate concentrations: In chips supplied with the highest concentration of labile substrate, decomposition was associated with microbial biomass, which peaked shortly after the substrate pulse but then quickly declined, possibly due to depletion of essential nutrients or waste accumulation. On the contrary, a lower but more sustained and spatially organized biomass at intermediate concentration led to the same amount of decomposition. Additionally, we found that motility was transiently increased in the bacterial population after the pulse, suggesting that substrate pulses can facilitate the colonization of soil microhabitats. 

Our approach, albeit strongly simplifying the microbial environment in soils, allows novel insights into fundamental microbial mechanisms at the microscale that could play a role during rhizosphere priming.

How to cite: Mohrlok, M. and Kaiser, C.: Microscale mechanisms behind the priming effect - Insights from a novel experimental model system, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18157, https://doi.org/10.5194/egusphere-egu26-18157, 2026.

EGU26-18524 | ECS | Orals | SSS4.1

Unmixing soil bacterial diversity considering community microgeography 

Samuel Bickel, Gabriele Berg, and Dani Or

Similar to human settlements, soil bacteria are distributed into numerous cell clusters whose sizes encode their function and environmental context. We show that bacterial cell cluster size distributions follow log-normal patterns, predicted by proportionate growth (Gibrat’s law). This log-normal distribution of cell cluster sizes is robust across biomes spanning a wide range of resource availabilities. Importantly, we show how characteristic cluster sizes vary with soil carrying capacity and transport limitations. In soils with high bulk cell density, cell cluster size distribution gives rise to rare but disproportionately large, ‘mega’ communities, that, in turn, disproportionately drive metabolism leading to anoxic microsites in largely oxic soils. A cursory evaluation of the statistical features of soil bacterial microgeography suggests that standard bulk soil sampling conflates many small, endemic clusters with a few dominant mega clusters. Consequently, accurate assessment of diversity and composition requires “unmixing” of genetic information across the likely original distributions and bacterial cluster size spectrum. We outline an analytical and modeling framework that translates soil carrying capacity into expected community size heterogeneity based on the observed cell cluster size distributions with heavy tails. We combine global soil and microbiome data sets to model putative community size structures across different ecosystems. Our approach reframes soil microbiomes as size-structured meta-communities and provides testable predictions for diversity-function relationships under changing moisture and carbon regimes.

How to cite: Bickel, S., Berg, G., and Or, D.: Unmixing soil bacterial diversity considering community microgeography, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18524, https://doi.org/10.5194/egusphere-egu26-18524, 2026.

EGU26-18977 | ECS | Orals | SSS4.1

The role of mineral surfaces in soil organic carbon dynamics across soil pores  

Haotian Wu, Maelle Maestrali, Xavier Raynaud, Naoise Nunan, and Steffen Schweizer

The spatial distribution of soil organic matter (OM) and its accessibility to microbial decomposers are key regulators of microbial functioning and soil carbon dynamics. However, how the interactions between soil pore sizes and mineral surfaces shape microbial activities remain unclear. In this study, we conducted a 21-day incubation experiment using ceramic microcosms with soil-like pore networks, coated with different mineral surfaces (illite and goethite). We selectively distributed 13C-labelled organic matter into distinct pore size classes (<10 μm and >20 μm). By monitoring carbon mineralization and microbial carbon use efficiency (CUE), we elucidated the interplay between microbial microenvironments and metabolic activities. We compared a simple mix of organic low-molecular-weight compounds with water-extractable OM of wheat root, to determine the role of different types of OM on microbial metabolism and OM decomposition. Mean comparisons for microbial respiration, fraction of added carbon respired, microbial biomass, and CUE were performed using linear models with pore size, mineral surface and OM type as fixed factors, allowing us to identify the dominant drivers of microbial OM decomposition across distinct microenvironments. Post-incubation NanoSIMS analyses were used to quantify pore-scale patterns of the incorporation and spatial retention of freshly added OM across mineral surfaces and pore size classes. Our findings provide insights on how localized interactions between microbes and their organo-mineral microenvironments within pores modulate the persistence and turnover of soil organic carbon.

How to cite: Wu, H., Maestrali, M., Raynaud, X., Nunan, N., and Schweizer, S.: The role of mineral surfaces in soil organic carbon dynamics across soil pores , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18977, https://doi.org/10.5194/egusphere-egu26-18977, 2026.

EGU26-19135 | ECS | Posters on site | SSS4.1

Microbial carbon and nitrogen dynamics during soil development in post-mining sites 

Kateřina Čápová, Olga Vindušková, Jan Frouz, and Kateřina Jandová

Microorganisms play a key role in the cycling of elements in soil systems by driving organic matter decomposition and regulating nutrient availability. Biomarkers provide an effective approach to studying microbial communities and their functions. In this study, phospholipid fatty acids (PLFAs) and amino sugars (ASs) are used as complementary indicators of short- and long-term microbial processes involved in the cycling and storage of carbon and nitrogen. While PLFA and amino sugar analyses are not interchangeable, their combined application allows for a clear distinction between living microbial biomass and accumulated microbial residues.

The study is set at two chronosequences using heaps of various stages of soil development, differing in type of reclamation (alder reclamation vs. spontaneous succession), at post-mining sites in northwestern Czech Republic. Carbon and nitrogen cycling during soil development are tightly coupled through microbial activity, particularly via the formation and persistence of microbial biomass and necromass. These microbially derived pools form an important link between microbial activity and biogeochemical processes during soil development.

The aim of this study is to monitor changes in PLFA and amino sugar concentrations along two chronosequences and to evaluate how microbial processes contribute to the long-term storage of carbon and nitrogen in soil. By combining biomarkers of living microbial biomass and microbial necromass across different successional pathways, this study improves our understanding of microbial community development during soil formation.

How to cite: Čápová, K., Vindušková, O., Frouz, J., and Jandová, K.: Microbial carbon and nitrogen dynamics during soil development in post-mining sites, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19135, https://doi.org/10.5194/egusphere-egu26-19135, 2026.

EGU26-20400 | Orals | SSS4.1

Microbial traits are shaped by soil type with potential implications for microbial necromass carbon cycling 

Kate Buckeridge, Alberto Vinicius Sousa Rocha, and Malte Herold

Microbial necromass carbon (MNC) is 15-80% of SOC and is controlled by necromass production (microbial growth and death), stabilisation (minerals and aggregates), and consumption (recycling and destabilisation). Microbial traits (i.e., quantitative measures that capture differences in life strategies or niche segregation among taxa) provide a step-change in understanding the interactions between microbes and soil organic carbon (SOC) cycling, particularly regarding the contribution of MNC. However, it remains unclear which traits consistently inform MNC and its relationship with SOC in cropland soils. Here, we address this gap by collecting soil samples from 22 farm fields spanning 4 soil types in Luxembourg, then we inferred genomic bacterial traits using representative genomes available in the Genome Taxonomy Database (GTDB) and the Bacterial Diversity Metadatabase (BacDive) and correlated them with SOC and MNC stocks.

Our preliminary results suggest that soil-type selects traits linked to resource acquisition and high-yield microbial strategies, including genome size, GC content, 16S rRNA copy number, and motility. We also observed positive or negative correlations between the traits themselves, suggesting possible trade-offs in community-level life history strategies, with potential implications for carbon derived from microbes. However, these traits or trade-offs had no direct links with bulk SOC stocks. Our ongoing analysis will instead link these traits and trade-offs directly to MNC stocks, to assess whether genome-derived traits can be useful for informing the necromass cycle. If this microbial trait relationship with MNC stocks holds true, the results and method will be useful for better understanding the MNC cycle in cropland soils and for improving next-generation SOC models.

How to cite: Buckeridge, K., Sousa Rocha, A. V., and Herold, M.: Microbial traits are shaped by soil type with potential implications for microbial necromass carbon cycling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20400, https://doi.org/10.5194/egusphere-egu26-20400, 2026.

EGU26-20487 | Orals | SSS4.1

The carbon use efficiency paradox: why what we measure is not what we need 

Michaela A. Dippold, Guodong Shao, Ranran Zhou, and Lingling Shi

The pivotal role of the soil microbiome in global biogeochemical cycles is undisputed. The subsequent demand for simplified quantitative descriptions of its functions in modelling approaches resulted in transferring the pure-culture based microbial yield concept into microbial carbon use efficiency (CUE) – a “one-number” approach to partition C input to soils and to describe the physiological efficiency of the microbiome.

The holy grail lost its sanctity once our challenges to reliably determine it became evident. The method comparison of Geyer et al. (2019) identified which critical assumptions underly the contrasting outcomes in CUEs derived from these methods. Our own data just underline this: While substrate-based CUE has a temporal and substrate dependency, 18O-based and metabolic CUE remain often unaffected by substrate addition but cover, with either DNA-replication or anabolic precursor-based upscaling of biomass C formation contrasting physiological processes of microbial cells.

Such divergent findings highlight that despite decades of research, current methods do not allow an unambiguous quantification of microbial substrate use in soils, owing to two overlapping methodological challenges: 1) Neither extracting microbial biomass nor predicting it from de-novo formed DNA can deliver a reliable quantitative estimation of the newly formed microbial biomass carbon; and 2) Whatever we add as substrate to soils does not reflect what microbes use for growth under native conditions. Our progress in quantitatively covering an increasing number of cellular pools (e.g. also considering cell walls and membranes), the increased consideration of storage, and first concepts on how to integrate secreted extracellular carbon offer perspectives to tackle the first of the two challenges. However, experimentally representing the incredible diversity of organic molecules accessible to microbes for consumption in soils is yet rather avoided, although Lehmann et al (2020) postulated compound diversity as a central factor determining the fate of carbon in soils. Comparing incubations with individual compounds to those of complex monomer mixture revealed that the microbial use of an individual compounds is significantly affected by the presence or absence of other compounds, i.e. the molecular diversity in soil solution. This can readily be explained by viewing microbes through the lens of their metabolic capacities, which impose fundamental constraints on their functioning. Formation of microbial biomass requires a defined ratio of precursor building blocks, which are products of distinct pathways of the basic carbon metabolism. De-novo production requires expression and formation of all pathway-related enzymes, while direct precursor uptake from soil solution allows for “saving” this energy. Therefore, we postulate that monomer diversity would positively affect microbial efficiency. This may be contrasting for polymer diversity, where extracellular enzyme costs exceed those of intracellular de-novo formation and thus a low diversity may be bioenergetically favorable. Thus, substrate diversity-efficiency relationships may centrally underlie deviations between our current CUE approaches. We recommend microbial ecologists to whenever possible replace CUE by the actual processes of interest, i.e. the ecophysiological response and subsequent changes in microbial pools (metabolome, growth) and fluxes (fluxome). This would provide parameters allowing for quantitative upscaling to pools and fluxes required for higher scale soil system models.

How to cite: Dippold, M. A., Shao, G., Zhou, R., and Shi, L.: The carbon use efficiency paradox: why what we measure is not what we need, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20487, https://doi.org/10.5194/egusphere-egu26-20487, 2026.

EGU26-20639 | ECS | Posters on site | SSS4.1

Energetic and Metabolic Costs of Organic Phosphorus Mineralization in Microbial Hotspots 

Nataliya Bilyera, Ningkang Sun, Callum C. Banfield, Gu Feng, Benjamin L. Turner, Yakov Kuzyakov, and Michaela A. Dippold

Phosphorus (P) is essential for life but is often poorly available to plants, limiting biological processes in ecosystems. Microbial transformations increase P availability through enzymatic hydrolysis of organic P compounds; however, these processes are metabolically and energetically costly and occur predominantly in microbial hotspots, such as the rhizosphere and other microsites with elevated microbial activity. Microorganisms invest cellular energy, primarily in the form of ATP, to produce phosphatase enzymes required for P mineralisation.

This study aimed to quantify the energetic and metabolic costs of enzymatic hydrolysis of organic P compounds of increasing complexity within microbial hotspots. We hypothesized that (i) energy investment for enzyme production increases with substrate complexity and its interaction with soil minerals, and (ii) enzyme-mediated P mineralization requires higher energy input than direct P uptake. To test these hypotheses, a soil–sand mixture was incubated with different P substrates while measuring heat dissipation (microcalorimetry), enzyme activities, soil ATP content, and available P.

Four treatments were applied: inorganic P (control), glycerol phosphate, DNA, and phytic acid (phytate). Heat release increased with substrate complexity, from phosphomonoester to DNA, indicating higher energetic investment. Microorganisms invested more energy in enzyme production than in P uptake, and phosphomonoesterase activity increased with substrate complexity. In contrast, phosphodiester hydrolysis was constrained by low phosphodiesterase activity, reflecting higher metabolic costs.

These results demonstrate that microbial hotspot activity governs the energetic efficiency of organic P transformations in soils, highlighting the importance of microscale processes for soil P cycling.

Acknowledgments and Funding: This work was funded by the German Research Foundation (DFG, BI 2570/1-1), project number 525137622.

How to cite: Bilyera, N., Sun, N., Banfield, C. C., Feng, G., Turner, B. L., Kuzyakov, Y., and Dippold, M. A.: Energetic and Metabolic Costs of Organic Phosphorus Mineralization in Microbial Hotspots, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20639, https://doi.org/10.5194/egusphere-egu26-20639, 2026.

EGU26-20812 | Posters on site | SSS4.1

Soil microbial resource limitation along a postmining chronosequence 

Christoph Rosinger, Michael Bonkowski, and Hans-Peter Kaul

Soil microorganisms regulate fundamental biogeochemical processes, including carbon sequestration and nutrient cycling, yet their activity and growth are frequently constrained by the availability of limiting resources. Microbial resource limitation is highly dynamic and context dependent, shaped by interacting biotic and abiotic drivers such as soil organic carbon, nutrient availability, land-use, and pedo-climatic conditions. Despite its central role for ecosystem functioning, we still lack a comprehensive and mechanistic understanding of how microbial resource limitation emerges and shifts along soil development gradients, largely due to the confounding nature of multiple co-varying environmental factors in natural ecosystems.

Post-mining chronosequences offer a powerful framework to disentangle such drivers, as they share highly comparable initial soil conditions while differing in time since reclamation. We used a 66-year post-mining chronosequence at the open-cast lignite mine Inden (Western Germany) to investigate patterns of soil microbial resource limitation along a pronounced soil organic carbon gradient. Soils originated from a standardized loess-based substrate and encompassed two land-use systems: reclaimed arable fields under conventional management and adjacent, unmanaged field margins. Topsoil samples (0–15 cm) spanning SOC contents from 0.6-4.0% were subjected to multifactorial carbon, nitrogen, and phosphorus additions, followed by measurements of microbial biomass growth and heterotrophic respiration.

Across both land-use systems, microbial growth and respiration responded most strongly to treatments receiving carbon, either alone or combined with nitrogen and phosphorus, indicating a prevailing state of microbial carbon limitation along the chronosequence. Microbial biomass responses to carbon amendments declined exponentially with increasing soil organic carbon, revealing a critical soil organic carbon threshold around 1-1.5%, below which strong carbon limitation prevailed and above which carbon limitation was progressively alleviated. In arable soils with low soil organic carbon, evidence for carbon and nitrogen co-limitation emerged, while high-soil organic carbon soils - particularly field margins - showed indications of phosphorus co-limitation in respiratory responses. Extrapolation of the observed response functions suggests that even soils with substantially higher soil organic carbon contents may retain a measurable, albeit diminishing, degree of microbial carbon limitation.

Overall, our results highlight soil organic carbon as a dominant regulator of microbial resource limitation during early to intermediate soil development and emphasize the value of post-mining chronosequences for advancing a mechanistic understanding of microbial constraints on soil biogeochemical functioning.

How to cite: Rosinger, C., Bonkowski, M., and Kaul, H.-P.: Soil microbial resource limitation along a postmining chronosequence, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20812, https://doi.org/10.5194/egusphere-egu26-20812, 2026.

EGU26-21795 | Orals | SSS4.1 | Highlight

Going deeper underground – unravelling microbial activity and carbon cycling in deep soils in the Central Amazon 

Lucia Fuchslueger, Nathielly Pires Martins, Laynara Figueiredo Lugli, Crisvaldo Cassio Souza, Flavia Santana, Nathalia Marinho, Maria Pires, Iain Hartley, Richard Norby, and Carlos Alberto Quesada and the AmazonFACE team

Tropical forest soils are important carbon stocks, despite often being highly weathered and depleted in mineral nutrients. In these soils, microbial communities play a crucial role in carbon, nitrogen and phosphorus cycling, and contribute largely to the soils’ nutrient pools. However, as tropical primary forests are remote, and deep soil layers are difficult to access, little is still known about the role of microbial activity affecting carbon cycling beyond the more frequently studied top layers.

We conducted a carbon and nutrient stock inventory in soils down to two meters at the experimental site of the AmazonFACE program, located in Central Amazonia, near Manaus, Brazil. Additionally, we investigated microbial community composition with phospholipid fatty acids (PLFA) and measured microbial respiration and potential extracellular enzyme activity rates in short-term incubations. 

We found that the Amazon FACE site harbors 180.0 (±6.50) Mg C ha-1 in the upper two meters of soil, with almost 60% already being stored in the first 50 cm. Below the organic upper 5 cm of soil, C:N ratios remained constant at around 14.5, however, δ13C signatures of soil organic carbon increased, indicating more often turned-over carbon at deeper layers. We found a faster decrease in fungal than bacterial PLFA markers with depth, and no 16:1w5 markers (representing arbuscular mycorrhizal fungi) below 20 cm of soil. In contrast, our results showed less strong declines in microbial respiration rates.

Overall, our data shows that the upper 50 cm of soil have a crucial function in forest carbon storage and turnover, likely related to plant nutrient inputs by roots, facilitating higher microbial activity, making these upper layers more prone to environmental changes. As in deeper soil layers fine root biomass and microbial activity are relatively low, these layers can play an important role in forest resilience. However, normalized by microbial biomass, carbon mineralization is still high in deeper layers, suggesting that they are not static and could be sensitive to climate change. 

How to cite: Fuchslueger, L., Pires Martins, N., Figueiredo Lugli, L., Souza, C. C., Santana, F., Marinho, N., Pires, M., Hartley, I., Norby, R., and Quesada, C. A. and the AmazonFACE team: Going deeper underground – unravelling microbial activity and carbon cycling in deep soils in the Central Amazon, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21795, https://doi.org/10.5194/egusphere-egu26-21795, 2026.

Biodegradable plastics have been proposed as an alternative to mitigate the environmental persistence of conventional petroleum-based plastics, however, securing bacterial resources capable of degradation is essential to achieve stable biodegradation under treatment conditions such as composting. Although bacteria that can degrade biodegradable plastics have been reported, there remains a need to obtain degrader resources applicable across different plastic types and diverse environmental conditions. Conventional approaches based on strain isolation followed by degradation activity tests are labor-intensive and time-consuming, which limits efficient screening and isolation of target degraders. To address these limitations, we introduced a network-based analytical framework that leverages metagenomic information from enrichment cultures and functional gene information to identify candidate bacteria contributing to biodegradable plastic degradation. Two composts were used as inocula, and enrichment cultures were conducted for 100 days at mesophilic (35 °C) and thermophilic (58 °C) conditions using Polylactic acid (PLA) or Polybutylene adipate terephthalate (PBAT) as the sole carbon source. Bacterial community structure was characterized across 20 enrichment cultures using 16S rRNA gene amplicon sequencing. To evaluate functional potential related to biodegradable plastic degradation, predicted functional gene profiles were inferred at the KEGG Orthology (KO) level using PICRUSt2. Co-occurrence network analysis was then performed to link changes in genus-level dominance with shifts in predicted functional gene abundances and to explore candidate bacterial resources with high degradation potential for PLA and PBAT. As a result, genera whose dominance increased over time and showed positive associations with predicted secondary-metabolism–related functional genes (K10804, K01432, K15739, and K00467)—processes involved in polymer breakdown to lower-molecular-weight compounds and/or transformation and accumulation of intermediates such as lactate—were highlighted as candidate degraders, including Pseudoxanthomonas, Thermoflavifilum, and Thermopolyspora. This study provides microbiological insights for inoculum design and process optimization for composting-based biodegradation, and demonstrates that a network analysis approach integrating community and predicted functional gene information can be applied to explore diverse microbial resources in future studies.

 

Keywords

Biodegradable plastics, Bacterial resource, Metagenome, Functional genes, Network analysis

 

Acknowledgement

This research was supported by Particulate Matter Management Specialized Graduate Program through the Korea Environmental Industry & Technology Institute (KEITI) funded by the Ministry of Environment (MOE), and by the Ministry of Trade, Industry and Energy (MOTIE) (RS-2025-07902968).

How to cite: Hwang, S., Lee, S. Y., Cho, I., and Cho, K.-S.: Network-Based Exploration of Candidate Biodegradable Plastic-Degrading Bacteria Using Metagenomic and Functional Gene Data from Enrichment Cultures, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21930, https://doi.org/10.5194/egusphere-egu26-21930, 2026.

EGU26-486 | ECS | Posters on site | SSS4.2

The legacy of long-term fertilization reshapes functional partitioning of the rhizosphere and hyphosphere through a plant-mediated cascade effect 

Cheng Peng, Thomas Reitz, Evgenia Blagodatskaya, Marie-Lara Bouffaud, and Mika Tarkka

The rhizosphere and hyphosphere are critical interfaces for plant-microbe interactions. However, the regulatory impact of long-term fertilization on the functional niche partitioning between these two compartments remains poorly understood. To address this, we conducted a pot experiment with wheat grown in preconditioned soils from a century-old fertilization trial. A 41-μm nylon mesh was used to physically separate the rhizosphere from the hyphosphere, enabling independent measurements of enzyme activities, microbial biomass, and available nutrient concentrations in each compartment. Our results showed that nitrogen (N) availability was the dominant factor among the fertilization regimes influencing plant performance, belowground C, nutrient dynamics, and prokaryote communities. Under N-limited conditions, plant–fungus cooperation was intensified, leading to a larger amount (24-41%) of dissolved organic C than in N-rich treatments. The dissolved organic C enrichment induced in the hyphosphere was 12-16% higher than that induced in the rhizosphere. This is evidenced by the strong positive correlation between arbuscular mycorrhizal fungal colonisation and hyphosphere dissolved organic C enrichment. In the fully mineral-fertilized NPK treatment, C-, N- and P-acquiring enzyme activities were 43-102% higher in the rhizosphere compared to the hyphosphere. Under combined manure and mineral fertilization, the highest overall levels of enzyme activities, nutrient availability, dissolved organic carbon, and microbial biomass carbon were observed in both compartments, but no differentiation between rhizosphere and hyphosphere was evident, reflecting the homogeneity of the microhabitats in these microbial functional traits. Linear discriminant analysis revealed that fertilization regimes significantly shaped microbial community composition, with combined manure and mineral fertilization consistently enriching Nitrososphaeria in both compartments. However, niche differentiation was evident between the two microhabitats: the rhizosphere uniquely recruited Planctomycetota under PK fertilization, whereas the hyphosphere was characterized by an enrichment of Chloroflexi under PK. This suggests that while fertilization drives broad taxonomic shifts, the rhizosphere imposes specific selective filters distinct from the hyphosphere. Together, these findings demonstrate that distinct fertilization regimes restructure the spatial partitioning of dissolved organic C dynamics and microbial functioning in the rhizosphere–hyphosphere by plant mediated cascading effect. Our results underscore the necessity of evaluating the rhizosphere and hyphosphere as distinct compartments to elucidate belowground C–N interactions under varying fertilization regimes. Accordingly, future research should examine these compartments separately to accurately capture fertilization-induced shifts in belowground C–N dynamics.

How to cite: Peng, C., Reitz, T., Blagodatskaya, E., Bouffaud, M.-L., and Tarkka, M.: The legacy of long-term fertilization reshapes functional partitioning of the rhizosphere and hyphosphere through a plant-mediated cascade effect, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-486, https://doi.org/10.5194/egusphere-egu26-486, 2026.

EGU26-517 | ECS | Posters on site | SSS4.2

Microbial community composition and functional potential changes along a century-scale geothermally warmed soil temperature gradient   

Anne Peter, Jana Kehr, Christopher Poeplau, and Damien Finn

Understanding changes in soil organic matter (SOM) dynamics in response to long-term warming is central to predicting carbon stocks under future climate-change scenarios. This study investigates how century-scale soil warming influences microbial community composition and functional potential using a subarctic deciduous forest located on a geothermal hotspring (Takhini Hot Springs, Yukon Territory, Canada) as a model system. The soils affected by this natural geothermal gradient, which has been documented as being active for at least 100 years, range between 0 and 5°C above ambient surface temperature, with 40 - 60 cm subsoils reaching up to +11°C. Previous analyses of SOM from the study site show a decline in C:N ratios with increasing soil temperature, while nitrogen stocks remain largely unchanged, suggesting long-term alterations in organic matter inputs and decomposition processes. This system provides a unique opportunity to study long-term warming effects under field conditions while avoiding artefacts associated with short-term manipulations.

Topsoil and subsoil microbial community population size, taxonomy and functional gene composition at topsoil mean annual temperatures of 3.5, 4.2 and 5.3 and 8.3°C were assessed using qPCR and whole-genome shotgun sequencing. As soil texture and humic acid content varied along the gradient (e.g., 8.5 % to 25.9 % clay), an adapted extraction protocol optimised for humic-rich soils was used for DNA extraction, together with the use of an internal whole-cell spike-in standard of Gram-positive and negative halophilic extremophiles in all qPCR assays to correct for differential extraction efficiency and PCR inhibition. Metagenomic data is used to characterise microbial community shifts and to identify functional genes related to carbon, nitrogen and phosphorus cycling, as well as traits linked to microbial metabolic strategies. Metagenomic analyses indicate that long-term warming restructures microbial communities in a depth-dependent manner, characterised by increased Actinobacteriota in warmer deep soils, reduced Planctomycetota and Chloroflexi with warming, and higher surface-layer abundance of Amorphea in cooler plots. PCA of phylum-level communities revealed clear depth stratification (p<0.001) and warming effects (p=0.003), with surface and subsoil samples clustering separately and warmer plots diverging along PC1.

By integrating microbial community data with soil physicochemical properties, this study aims to clarify how sustained warming alters microbial functional potential and SOM processing in subarctic soils.  Decreases in the relative abundance of eukaryotes (Amorphea) with increasing temperature, and a concomitant increase in Gram-positive Actinobacteriota associated with plant biomass cycling and secondary metabolite production in soils, suggests that temperature-dependent shifts in organisms responsible for SOM cycling may occur under soil warming of > 5 °C. The findings will contribute to improving predictions of climate-driven changes in soil biogeochemistry and the long-term stability of SOM under warming.

How to cite: Peter, A., Kehr, J., Poeplau, C., and Finn, D.: Microbial community composition and functional potential changes along a century-scale geothermally warmed soil temperature gradient  , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-517, https://doi.org/10.5194/egusphere-egu26-517, 2026.

EGU26-811 | ECS | Posters on site | SSS4.2

Microbe-Assisted Remediation Potential in Arsenic-Impacted Agricultural Soils of Laksar, Uttarakhand 

Shubha Dixit, Arpita Maurya, Rajesh Singh, Shruti Singh, and Manoj Kumar

Arsenic contamination in agricultural soils poses a major threat to environmental safety, food security, and sustainable farming systems across South Asia. This study investigates the extent of arsenic accumulation in agricultural soils of Haridwar district, Uttarakhand, and evaluates microbe-assisted remediation as a potential strategy to mitigate arsenic toxicity. Ten soil samples from arsenic-affected sites were analyzed for physicochemical, elemental, and microbial characteristics. The soils were predominantly sandy loam and exhibited moderate ionic strength (EC 316 µS/cm), neutral pH (7.2), reducing redox potential, and low moisture content. CHNS profiles (C/N = 8.83) and (C/H ratios =2.40) indicated nutrient-limited conditions that constrain microbial redox processes. Arsenic concentrations reached 11.4 ppm along with elevated levels of Cu, Zn, Fe, Mn, and Se. Strong positive correlations of As with pH (R2 = 0.904), iron (R2 = 0.808), and manganese (R2 = 0.797) suggested alkaline conditions and Fe–Mn redox cycling are key drivers of arsenic mobilization. High phosphate, calcium, and magnesium further contributed to competitive desorption and enhanced arsenic solubility. Microbial functional assessments using CLPP and enzyme assays revealed suppressed metabolic activity and reduced carbon utilization under metal stress, reflecting ecosystem perturbation. Overall, the findings demonstrate that the interplay of soil geochemistry and microbial activity drives arsenic behavior in agricultural systems. Microbe-assisted approaches focused on modulating redox conditions, stabilizing Fe–Mn phases, and improving nutrient balance offer a promising pathway for reducing arsenic bioavailability and restoring soil health in contaminated agricultural landscapes.

Keywords: Arsenic contamination, Agricultural soils, Soil geochemistry, Microbe-assisted remediation

How to cite: Dixit, S., Maurya, A., Singh, R., Singh, S., and Kumar, M.: Microbe-Assisted Remediation Potential in Arsenic-Impacted Agricultural Soils of Laksar, Uttarakhand, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-811, https://doi.org/10.5194/egusphere-egu26-811, 2026.

EGU26-1134 | ECS | Posters on site | SSS4.2

Generalized additive models confirm pH and emphasize electrical conductivity as key drivers of European soil bacterial diversity 

Patrik Heintze, Amirhossein Hassani, Dani Or, Panos Panagos, Alberto Orgiazzi, Maëva Labouyrie, Julia Köninger, Inma Lebron, David A. Robinson, and Nima Shokri

The soil microbiome provides indispensable ecosystem services, including nutrient and organic matter cycling, affecting exchange of energy, water, and carbon at the land-atmosphere interface, as well as provisioning an important environmental resilience layer through buffering natural and anthropogenic stressors. We applied generalized additive models (GAMs) to the largest methodologically consistent dataset of soil eDNA at continental scale. Based on colocated eDNA and soil parameter measurements from the LUCAS 2018 soil biodiversity dataset (Labouyrie et al., 2023; Orgiazzi et al., 2022) and ERA5-Land climate reanalysis data (Muñoz Sabater, 2019) for the 30-year period pre-dating sample collection (1988–2017), we (i) identify key drivers shaping the composition of soil bacterial communities, (ii) quantify changes in soil bacterial richness and diversity forced by soil properties, climatic effects, and anthropogenic pressures, and (iii) assess interaction effects between the different drivers. Multiple feature selection methodologies were employed and cross-checked to reduce the number of predictors without conceding prediction accuracy. A GAM including pH, electrical conductivity, and top layer bulk density (0–10 cm) as covariates can explain 73.3% of variance (adjusted R² = 0.727) in the Shannon entropy of samples. While land cover is commonly considered an important categorical determinant of soil bacterial diversity, our results suggest that land cover per se is no immediate factor, but instead land cover types constrain the physicochemical habitats on site, which are in turn the immediate drivers of bacterial diversity.

 

References

Labouyrie, M., Ballabio, C., Romero, F., Panagos, P., Jones, A., Schmid, M. W., Mikryukov, V., Dulya, O., Tedersoo, L., Bahram, M., Lugato, E., Van Der Heijden, M. G. A., & Orgiazzi, A. (2023). Patterns in soil microbial diversity across Europe. Nature Communications, 14(1), 3311. https://doi.org/10.1038/s41467-023-37937-4

Muñoz Sabater, J. (2019). ERA5-Land monthly averaged data from 1950 to present [Dataset]. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). https://doi.org/10.24381/CDS.68D2BB30

Orgiazzi, A., Panagos, P., Fernández‐Ugalde, O., Wojda, P., Labouyrie, M., Ballabio, C., Franco, A., Pistocchi, A., Montanarella, L., & Jones, A. (2022). LUCAS Soil Biodiversity and LUCAS Soil Pesticides, new tools for research and policy development. European Journal of Soil Science, 73(5), e13299. https://doi.org/10.1111/ejss.13299

How to cite: Heintze, P., Hassani, A., Or, D., Panagos, P., Orgiazzi, A., Labouyrie, M., Köninger, J., Lebron, I., Robinson, D. A., and Shokri, N.: Generalized additive models confirm pH and emphasize electrical conductivity as key drivers of European soil bacterial diversity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1134, https://doi.org/10.5194/egusphere-egu26-1134, 2026.

EGU26-1229 | ECS | Posters on site | SSS4.2

Can the conversion to perennial cereal crops simultaneously promote SOC formation and stimulate microbial N-mining? 

Xiaojing Yang, Lettice Hicks, and Johannes Rousk

Enhancing soil carbon (C) storage is critical for climate mitigation, and perennial systems for cereal agriculture have emerged as a promising strategy due to their sustained root-derived C inputs. However, an increased supply of labile C may also lead to a higher demand for nitrogen (N), whereby microbes decompose existing soil organic matter (SOM) to acquire N, termed N-mining, potentially triggering a priming effect that offsets C storage. Whether perennial cropping primarily promotes microbial C assimilation and subsequent production of SOM or accelerates SOM mineralization remains uncertain. Moreover, the stand age of perennial crops can substantially modify root-exudate C, thereby altering microbial C availability and shifing microbial decomposition strategies. But how perennial stand age regulates these coupled plant-soil-microbe processes is still poorly understood.

Here, we examined how converting annual crops to perennial intermediate wheatgrass (Thinopyrum intermedium, Kernza®) influences microbial decomposition dynamics and N-mining. Soils were collected from the annual cropping system, the first-year Kernza stand, and the ninth-year stand. Root-exudate inputs were simulated by semi-continuous additions of ¹³C-glucose over 20 days, applied at the daily exudate-C level of the perennial crop and at a five-fold higher intensity. We quantified the real-time soil organic C mineralization, organic N mineralization with the 15N pool dilution method, and microbial growth and biomass to resolve the balance between C storage and SOC loss, N mining from SOM, and its microbial response underpinning the simulated rhizosphere. We hypothesized that the conversion to perennial crops would enhance microbial N-mining and priming effects, particularly in young stands, whereas older stands progressively shift toward more efficient microbial C utilization and higher SOM stabilization potential. Based on the results, we found that glucose applied at levels matching those in the perennial crop rhizosphere induced fast (within days) and sustained (for weeks) priming response. Across addition levels, young perennial crops exhibited consistently higher cumulative priming than older perennial crops. These temporal patterns best matched responses in bacterial growth, suggesting a bacterial control of the young perennial rhizosphere priming effect and indicating a greater need for bacteria to acquire organic N there.

How to cite: Yang, X., Hicks, L., and Rousk, J.: Can the conversion to perennial cereal crops simultaneously promote SOC formation and stimulate microbial N-mining?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1229, https://doi.org/10.5194/egusphere-egu26-1229, 2026.

EGU26-1350 | ECS | Posters on site | SSS4.2

What is the most effective treatment for maintaining soil microbial community structure during field sampling expeditions? 

Jason Bosch, Adam Olekšák, and Jana Voříšková

Microbial ecology is dependent upon environmental samples collected in the field. However, field trips in remote locations present a number of logistical problems which can compromise sample integrity and lead to unreliable conclusions. Microbial communities continue to live after sample collection and, now under different conditions, may shift their composition. In the laboratory environment, the microbial community can be held constant through techniques such as freezing which may not be available for several days during sampling trips. There are several treatments which claim to preserve samples without refrigeration but most are (1) not designed for soil communities and (2) have not been independently tested.

We compare five treatments—DNA/RNA Shield (Zymo Research), PowerProtect DNA/RNA (Qiagen), Phoenix Protect (Procomcure Biotech), DESS and silica gel packets—on the basis of ease-of-use, cost-effectiveness and preservation effectiveness to make a final recommendation of the best choice for preserving microbial soil communities during field trips. Soil samples were collected, treated with one of the five treatments and incubated at either 5 °C or 22 °C. DNA was isolated from controls at the beginning of the experiment and from the treated samples at 7, 14, 28 and 56 days after sampling. Amplicons of the bacterial 16S ribosomal gene and fungal ITS region were sequenced and analysed to compare how the microbial communities in different treatments changed over time in terms of their richness and overall beta diversity. In addition, we checked for differential abundance of individual taxa.

With this work, we hope to inform researchers about which microbial preservation treatments are most appropriate for soil samples and which taxa might still change despite their use. We hope that this will aid researchers better plan field trips into remote locations and will improve the quality of data produced from such trips.

How to cite: Bosch, J., Olekšák, A., and Voříšková, J.: What is the most effective treatment for maintaining soil microbial community structure during field sampling expeditions?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1350, https://doi.org/10.5194/egusphere-egu26-1350, 2026.

EGU26-3882 | ECS | Orals | SSS4.2

Microbial EPS as a relevant pathway for non-growth C investment: a study in two agricultural soils 

Rebeca Leme Oliva, Jens Dyckmans, and Rainer Georg Joergensen

Microorganisms drive soil C cycling, yet microbial metabolism is commonly conceptualized as a balance between growth (usually increase in biomass) and respiration. This simplified view neglects substantial microbial investments into non-growth pathways, such as the production of extracellular polymeric substances (EPS), which may strongly influence soil biogeochemical processes. EPS contribute to soil aggregation, resource acquisition, and microbial stress tolerance, but their role in microbial C allocation and soil C cycling remains poorly quantified. In this study, agricultural soils with different fertilization histories were incubated for 70 days with ¹³C-1-glucose and ¹⁵N-U-urea to trace substrate allocation among microbial biomass (MB), EPS, and CO₂ efflux. Our main hypothesis was that even though most substrate C and N would be allocated to MB, a significant portion would be incorporated into EPS. As results, we found that most added substrates were allocated to MB. However, 2 ~ 15% of added C and 10 ~ 15% of added N were recovered in EPS, corroborating our hypothesis that this non-growth pathway can account for a meaningful portion of microbial resource use. Further, we also observed that soil intrinsic characteristics, rather than their fertilization history, had the most significant effects over C and N partitioning in the studied sites. Microorganisms residing in clay-rich soils allocated more substrate to EPS than those in sandy soils. Finally, we also found that the incorporation of labelled C and N correlated positively in both MB and EPS. This supports the hypothesis of a coupled microbial C–N metabolism, in which EPS production accompanies growth rather than occurring independently of it. A larger set of soils is needed to incorporate non-growth C allocation pathways (other than EPS) into conceptual and quantitative models of soil biogeochemistry, in order to improve our understanding of microbial resource allocation for soil C and N stabilization.

How to cite: Leme Oliva, R., Dyckmans, J., and Georg Joergensen, R.: Microbial EPS as a relevant pathway for non-growth C investment: a study in two agricultural soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3882, https://doi.org/10.5194/egusphere-egu26-3882, 2026.

EGU26-5208 | ECS | Orals | SSS4.2

Fungal decomposition of mineral-associated proteins through Fenton-based oxidation and enzymatic hydrolysis 

Bowen Zhang, François Maillard, Carl Troein, Michiel Op De Beeck, Minghua Zhou, Anders Tunlid, and Per Persson

A substantial fraction of nitrogen (N) in forest soils is present in mineral-associated proteinaceous compounds. The strong association between proteins and soil minerals protects these compounds from decomposition; however, previous studies have shown that ectomycorrhizal (ECM) fungi can acquire N via extracellular proteolytic enzymes acting on iron oxide mineral-associated proteins. Hydrolysis is accompanied by reductive dissolution of the iron oxides, creating conditions for Fenton chemistry and hence, generation of highly reactive hydroxyl radicals (HO). Yet, the specific mechanisms employed by ECM fungi to acquire N from these mineral-associated proteinaceous compounds remain largely unresolved. In situ IR spectroscopy was used to monitor the molecular-scale reactions of bovine serum albumin (BSA, as a model protein) with proteases and HO occurring at iron mineral interfaces. The decomposition of ferrihydrite-associated BSA by the ECM fungus Suillus luteus was followed using optical photothermal infrared (O-PTIR) microspectroscopy at the individual hyphal level. The effects and interplay between the oxidative and hydrolytic mechanisms in degrading and liberating N from mineral-associated BSA were examined using in vitro experiments. Proteolysis and oxidative mechanisms generated distinct, diagnostic IR spectral fingerprints of the mineral-adsorbed BSA. By correlating IR fingerprints with microspectroscopy of the fungal extracellular polymeric substance (EPS) region, we show that S. luteus decomposes mineral-associated proteins through sequentially deployed oxidative and hydrolytic mechanisms. BSA adsorbed on ferrihydrite is susceptible to HO generated in heterogeneous Fenton reactions, and carboxylates (e.g., oxalate) were generated that occupied adsorption sites on ferrihydrite, which can counteract the suppression of protease activity due to protease adsorption onto the mineral. Moreover, deamination and fragmentation were also observed during the Fenton reaction. Our findings underscore the previously overlooked role of extracellular oxidative chemistry in fungal acquisition of nitrogen from mineral-organic complexes.

How to cite: Zhang, B., Maillard, F., Troein, C., Op De Beeck, M., Zhou, M., Tunlid, A., and Persson, P.: Fungal decomposition of mineral-associated proteins through Fenton-based oxidation and enzymatic hydrolysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5208, https://doi.org/10.5194/egusphere-egu26-5208, 2026.

EGU26-5487 | Orals | SSS4.2

Using fluorescence lifetime imaging to disentangle microbes from the heterogeneous soil matrix 

Sebastian Loeppmann, Yijie Shi, Alberto Andrino de la Fuente, Jens Boy, Georg Guggenberger, Andreas Fulterer, Martin Fritsch, and Sandra Spielvogel

Soil microbial communities drive most biogeochemical processes and create hotspots of nutrient cycling. However, spatial visualization of microorganisms in these soil hotspots at the microscopic scale remains challenging due to the intrinsic fluorescence and opacity of soil matrices. One promising approach to distinguish microbial cells from the heterogeneous soil background is fluorescence lifetime imaging microscopy (FLIM) combined with phasor plot analysis. This technique separates and visualizes distinct photon arrival times on a per-pixel basis, providing information independent of fluorescence intensity. As a result, FLIM overcomes limitations of intensity-based imaging caused by autofluorescence, limited resolution, and photobleaching artifacts associated with minerals and organic matter.

In this study, we determined characteristic fluorescence lifetime profiles of BacLight™ Green–stained Rhodotorula mucilaginosa and Bacillus subtilis using FLIM via confocal laser scanning fluorescence microscopy. Measurements were conducted in phosphate-buffered saline solution (PBS), water, and in natural, autoclaved, glucose-activated soils, as well as soil mineral particles. In pure cultures, fluorescence lifetimes were 1.20 ± 0.2 ns for R. mucilaginosa and 1.30 ± 0.1 ns for B. subtilis in both water and PBS. Fluorescence lifetimes within individual cells were spatially homogeneous for both species, indicating stable photon arrival times and only minor matrix effects under the tested conditions.

Using phasor plot analysis, we observed a clear separation between microbial fluorescence lifetimes (approximately 1 ns) and those of the surrounding soil matrix (0.2–0.7 ns and > 3.6 ns). These findings demonstrate the feasibility of using FLIM to discriminate microbial cells from complex soil backgrounds and suggest strong potential for extending this approach to other soil types and their associated microbiota.

How to cite: Loeppmann, S., Shi, Y., de la Fuente, A. A., Boy, J., Guggenberger, G., Fulterer, A., Fritsch, M., and Spielvogel, S.: Using fluorescence lifetime imaging to disentangle microbes from the heterogeneous soil matrix, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5487, https://doi.org/10.5194/egusphere-egu26-5487, 2026.

Soil microorganisms decompose a wide range of organic sources to meet their carbon (C) and energy needs. They further require nutrients such as nitrogen (N) in appropriate stoichiometric ratios to C. Organic sources are often N-poor (high C/N) compared to microbial biomass (low C/N). The extent of this stoichiometric imbalance influences organic matter decomposability, microbial C and N turnover, and ultimately C and N stabilization in soil.

Here, we investigate how organic source C/N and system-specific conditions impact the fate of C and N across diverse microbe-plant-soil systems. We synthesized data from 14 published isotope-tracing studies that applied 13C- and 15N-enriched organic sources and quantified the recovery of C and N from these sources in microbial biomass and bulk soil. The applied organic sources included microbial necromass and various plant residues spanning C/N ratios from 4 to 42. Similarly, the soils used in the studies were diverse, with bulk soil C/N ranging from 8 to 35 and pH values from 3 to 13.

The relative recovery of source N generally exceeds that of source C in microbial biomass and bulk soil, following the expected greater losses of C through microbial respiration. Moreover, low source C/N resulted in higher relative recoveries of source C and N in microbial biomass and bulk soil, likely reflecting more efficient microbial processing of sources with a stoichiometry that closely matches microbial needs. In addition, system-specific conditions, such as bulk soil C/N, influence the fate of C and N.

In our contribution, we aim to provide insights into the joint microbial use of C and N related to organic source stoichiometry and discuss how system-specific conditions and experimental design shape the observed patterns across diverse microbe-plant-soil systems.

How to cite: Siegenthaler, M. and Manzoni, S.: Linking microbial carbon and nitrogen use to organic source stoichiometry and system-specific conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8185, https://doi.org/10.5194/egusphere-egu26-8185, 2026.

EGU26-11647 | ECS | Posters on site | SSS4.2

Land-use-dependent responses of soil antibiotic resistance to manure input under current and future climates 

Luis Daniel Prada Salcedo, Martin A. Fischer, and Anja Worrich

Antimicrobial resistance is on the rise and poses a global public health risk. Livestock manure serves as a primary source of antibiotic resistance in agricultural soils, where the specific agricultural management and climatic factors may influence antimicrobial resistance genes (ARG) levels and diversity. However, the compounded effects of climate change and shifts in land use on the spread of antibiotic resistance from livestock manure to soil microbiomes have not been studied. This study fills this knowledge gap by using soils from the “Global Change Experimental Facility” which investigates the consequences of climate change on ecosystem processes in different land-use types. Soils with four distinct land-use histories reflecting different agricultural management practices (conventional farming, organic farming, intensive grassland, and extensive grassland) were amended with cattle manure and incubated under current and future climate scenarios according to IPCC projections. The antimicrobial resistance genes (the resistome) and the mobile genetic elements (the mobilome) of the soil microbiomes were analyzed via metagenomics, while the abundance of clinically important resistance genes was quantified over time using real‑time quantitative PCR. The metagenomic approach indicates that 56% of the genes are shared among different land-use types, and a similar proportion of ARGs occurs in soils with or without manure additions. While the same ARG classes remain dominant across all treatments, the total ARG counts are consistently higher in grasslands than in croplands. Under conventional farming, future climatic conditions lead to an increase of unique ARGs, whereas organic farming maintains the same number of unique ARGs under both climatic scenarios. In intensive and extensive meadows, future climatic conditions show an increase of the unique ARGs compared to current ambient conditions. The temporal evaluation across all treatments revealed an overall decrease in the counts of the main ARG classes, such that, four months after manure addition, ARG abundances closely resembled the natural levels observed in soils without manure application and a similar ARGs composition. Overall, agricultural management was the main determinant of total ARG abundance, whereas future climatic conditions primarily influenced the occurrence of unique ARGs in a land-use-dependent manner.

How to cite: Prada Salcedo, L. D., Fischer, M. A., and Worrich, A.: Land-use-dependent responses of soil antibiotic resistance to manure input under current and future climates, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11647, https://doi.org/10.5194/egusphere-egu26-11647, 2026.

EGU26-13248 | ECS | Posters on site | SSS4.2

Evaluating concentration-dependent effects of deuterated water to optimize its use as marker of metabolic activity in soil microbiomes 

Franziska Raab, Nico Jehmlich, Hryhoriy Stryhanyuk, and Anja Worrich

Deuterated water (2H2O) has been used to investigate changes in the metabolic activity of microorganisms. In contrast to, for example, 13C-labeled compounds, 2H2O acts as a general marker of biosynthetic activity, does not alter the available substrate pool and is more cost-effective than 18O-labeled water. These properties make 2H2O an attractive alternative for stable isotope labeling experiments, ranging from small-scale microcosm incubations with only a few grams of soil to larger-scale and more integrative experimental setups. However, high concentrations of deuterium (2H), introduced via 2H2O, can be toxic to cells, as kinetic isotope effects slow biochemical reaction rates and may therefore inhibit metabolic processes. Consequently, 2H2O-concentration-dependent effects on metabolic activity in the soil microbiome must be investigated to obtain reliable results. In this study, we conducted a microcosm experiment to analyze the effects of different 2H2O concentrations (0, 10, 20, 30, 40, 50, 60 at% of 2H) on nitrogen assimilation in the soil microbial community, using 15N-labeled ammonium sulfate as a tracer. Nanoscale Secondary Ion Mass Spectrometry will be used to derive the metabolic activity of single cells based on the amount of 15N tracer assimilated at the different 2H2O concentrations.  Furthermore, metagenomics and metaproteomics will reveal 2H2O-induced shifts in bacterial community composition and functional pathways. Together, these data will provide the range of 2H2O concentrations that ensure the non-inhibited metabolic activity in the soil microbiome, supporting its use as a marker in soil microbiome research.

How to cite: Raab, F., Jehmlich, N., Stryhanyuk, H., and Worrich, A.: Evaluating concentration-dependent effects of deuterated water to optimize its use as marker of metabolic activity in soil microbiomes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13248, https://doi.org/10.5194/egusphere-egu26-13248, 2026.

EGU26-13593 | Orals | SSS4.2

From Morphology to Metabolism: Trait‑Based Insights into Protist Diversity and Soil Biogeochemical Processes 

Michael Bonkowski, Jule Freudenthal, Hüsna Öztoprak, Martin Schlegel, and Kenneth Dumack

The assignment of functional traits to protistan sequence data has become central for understanding how these diverse microorganisms contribute to ecosystem processes, yet current schemes that reduce protists to “phototrophs,” “consumers,” or “parasites” vastly underrepresent their functional diversity and ecological strategies. Because traits directly reflect adaptations to environmental conditions, community‐level trait profiles offer more mechanistic insight into species interactions, niche partitioning, and responses to disturbance than taxonomy alone, especially in highly divergent protist lineages. Recently developed, ontology‑based trait frameworks for major soil protist groups now enable more detailed functional annotation and reveal striking differences in morphology and physiology among phyla such as Cercozoa/Endomyxa, Oomycota, Amoebozoa and testate amoebae, challenging the notion of a single, unified trait set for all protists.

I will first outline the breadth of morphological traits across soil protists and their implications for habitat use and trophic interactions, and then explore novel molecular methods to reveal expressed physiological traits using deeply sequenced transcriptomes of free-living Thecofilosea (Rhizaria: Cercozoa), including 12 Rhogostoma strains, Fisculla terrestris and Katarium polorum. A conserved core of orthogroups supported central carbohydrate and nucleotide metabolism, whereas amino acid and lipid pathways, particularly sterol and branched-chain amino acid metabolism, varied strongly even among closely related strains, indicating divergent resource demands and prey dependencies. Distinct orthogroup repertoires and expression profiles in two Rhogostoma clusters point to specialization in sensory, adhesion and biofilm-related functions that likely modulate interactions with bacterial prey and soil microhabitats. Together, these morphological and transcriptomic perspectives demonstrate that fine-scale trait variation among protists is essential for mechanistic links between microbial community composition and soil biogeochemical processes.

How to cite: Bonkowski, M., Freudenthal, J., Öztoprak, H., Schlegel, M., and Dumack, K.: From Morphology to Metabolism: Trait‑Based Insights into Protist Diversity and Soil Biogeochemical Processes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13593, https://doi.org/10.5194/egusphere-egu26-13593, 2026.

EGU26-16012 | ECS | Posters on site | SSS4.2

Identifying microbial predictors of soil nitrate pools across tropical land uses with machine learning 

Kavindra Yohan Kuhatheva Senaratna, Shu Harn Te, Simone Fatichi, and Karina Yew-Hoong Gin

Nitrification is a key control on soil nitrate (NO3) pools, and yet the dominant microbial taxa driving the process may vary with land use and land management practices. In this study we test whether dominant nitrifiers (eg: autotrophic vs heterotrophic; bacterial vs fungal) differ between heavily managed tropical soils (urban farms, golf courses) and natural tropical forests in Singapore,  using machine learning to identify the microbe groups most strongly associated with soil NO3- pools across sites.

We collected soils across multiple sites in each land-use and quantified soil NO3 using ion chromatography. To estimate taxon-level abundances, we combined qPCR-derived total bacterial and fungal abundances (16S/18S) with ribosomal DNA Amplicon sequencing relative abundances, using their product as a proxy for genus-level absolute abundance. We compiled a list of canonical ammonia oxidisers and microbes with reported heterotrophic nitrifying strains, and evaluated their ability to predict spatial variation of NO3 within each land-use type. This was done using three flexible models (generalised additive model, support-vector regression and random forest), where model performance was assessed using R² obtained from leave-one-out and repeated 5-fold cross-validation (200 repeats).

In managed soils, bacterial genera were consistently the strongest predictors of NO3(across all models), including the canonical AOB genus Nitrosomonas and bacteria with reported heterotrophic nitrifying strains (Paenibacillus, Rhodococcus). Predictive performance was high across all model types (R² ≈ 0.6–0.85). In forests, fungal genera (notably Aspergillus and Fusarium) ranked highest, but overall predictive performance was lower (R² ≈ 0.3–0.5), suggesting that functional groups not captured by the current candidate set (e.g., ammonia-oxidising archaea) might potentially be driving nitrification in these sites. Further analysis on this is currently in progress

Overall, our results suggest that contrasting nitrifier niches exist in different land uses with bacteria-dominated predictors in managed soils and fungal predictors in forests, which highlights how management may restructure microbial pathways that govern nitrate formation in tropical soils.

Acknowledgements

This research grant is funded by the Singapore National Research Foundation under its Competitive Funding for Water Research (CWR) initiative and administered by PUB, Singapore’s National Water Agency. We also acknowledge NParks, for providing us site access to conduct the measurements.

 

How to cite: Senaratna, K. Y. K., Te, S. H., Fatichi, S., and Gin, K. Y.-H.: Identifying microbial predictors of soil nitrate pools across tropical land uses with machine learning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16012, https://doi.org/10.5194/egusphere-egu26-16012, 2026.

EGU26-16725 | Posters on site | SSS4.2

Understanding the effects of Microplastics and persistent organic pollutants' on soil ecosystem services supply 

Paulo Pereira, Emoke Kovacs, Melinda Kovacs, Miguel Inacio, Eric Brevik, and Damia Barcelo

Anthropogenic activities are a significant source of pollutants that pose substantial risks to both the environment and human health. Among these, microplastics and persistent organic pollutants (POPs) are of particular concern due to their persistence and long-term impacts. While the environmental presence and effects of these pollutants are well documented, their specific implications for regulating, provisioning, and cultural ecosystem service (ES) supply remain underexplored. Further research on these topics is essential, as they are critical to human wellbeing. The impacts of microplastics and POPs on ES include negative effects on biogeochemical cycles, macro- and microbiological activity, and plant development. These disruptions contribute to soil degradation and initiate a cascade of adverse effects on ES by altering soil physical, chemical, and biological processes. Soil pollution leads to decreased plant cover and diminishes the capacity to regulate erosion, flooding, climate, pollination, and nutrient cycling. Declining soil fertility subsequently affects the provision of timber, medicinal plants, biomass, and water. Additionally, soil and vegetation degradation are associated with reduced landscape aesthetics and the loss of traditional landscapes, particularly in regions subjected to intensive agroforestry activities.

 Acknowledgements

This research was funded by the European Union NextGeneration EU through the National Recovery and Resilience Plan, Component 9. I8., grant number 760104/May 23, 2023, code CF 245/November 29, 2022. This work was supported by the project "Sensing, Mapping, Interconnecting: Tools for soil functions and services evaluation" supported by the Romanian Government, Ministry of the Innovation and Digitization through the National Recovery and Resilience Plan (PNRR) PNRR-III-C9-2022-I8, contract no. CF245/29.11.2022.      

How to cite: Pereira, P., Kovacs, E., Kovacs, M., Inacio, M., Brevik, E., and Barcelo, D.: Understanding the effects of Microplastics and persistent organic pollutants' on soil ecosystem services supply, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16725, https://doi.org/10.5194/egusphere-egu26-16725, 2026.

EGU26-16750 | Posters on site | SSS4.2

Carbon and nitrogen control hyphae-mediated bacterial dispersal and partner recruitment in glacier forefield soils 

Christoph Keuschnig, Ramyani Biswas, Sanja Deinert, and Liane G. Benning

Bacteria can disperse along fungal hyphae, using them as “highways” to cross physical discontinuities in soil (e.g. air-filled pores) and potentially to traverse microsites with suboptimal conditions such as oxygen- or nutrient-limited zones. While laboratory studies have resolved mechanistic aspects of hypha-associated bacterial motility, the ecological and resource-dependent context of this interaction, and its relevance for soil C and N dynamics, remains poorly understood. We address this gap by combining (1) laboratory experiments manipulating carbon and nitrogen sources to test how nutrient regime shapes the dispersal of fungal–bacterial co-communities from mid-Arctic glacier forefield soils (Greenland), and (2) a one-year field colonization experiment in glacier forefields of Greenland, Iceland, and Austria, tracking colonization of initially barren sediments in specially designed columns across geologies and soil development stages.

In the laboratory, distinct C/N combinations promoted exploratory growth by different fungi, with communities dominated by Mucor, Actinomortierella, and Syncephalis. Co-dispersing bacterial communities also shifted with nutrient regime, dominated by Flavobacterium, Janthinobacterium and Pseudomonas. Bacterial diversity transported along hyphae increased under inorganic N supply (ammonium or nitrate) relative to cellulose amendment without added N, indicating that fungal nutritional status and N availability can modulate partner recruitment during dispersal. Field observations complemented these results by revealing how hypha-associated colonization unfolds under natural conditions across contrasting forefields.

Together, our findings show that fungal physiology and nutrient status structure hypha-associated bacterial partnerships and suggest that hypha-mediated translocation can influence microbial community assembly during early soil formation, with implications for C/N acquisition strategies in heterogeneous soils.

How to cite: Keuschnig, C., Biswas, R., Deinert, S., and Benning, L. G.: Carbon and nitrogen control hyphae-mediated bacterial dispersal and partner recruitment in glacier forefield soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16750, https://doi.org/10.5194/egusphere-egu26-16750, 2026.

Peatlands store a disproportionally large fraction of global soil carbon, yet their stability is increasingly threatened by climate-driven drying and degradation. One underexplored consequence of peatland drying is the potential colonization of soil fauna, such as earthworms, which have historically been absent from waterlogged peat soils. However, the implications of earthworm colonization for peatland carbon dynamics and vertical soil functioning remain poorly understood. Here, we used intact peat soil columns from alpine peatlands to investigate how increasing earthworm densities affect carbon pools, nitrogen availability, and microbial processes across two soil depths (0–10 cm and 10–20 cm). Earthworm treatments included a low-density and a high-density combination of epigeic and endogeic species, reflecting realistic colonization scenarios under peatland degradation. Earthworm addition substantially altered the vertical distribution of soil carbon. In control soils, total carbon and dissolved organic carbon exhibited pronounced depth stratification, whereas earthworm presence weakened or even reversed these depth patterns. Moreover, earthworms increased dissolved nitrogen concentrations and modified extracellular enzyme activities, indicating changes in nutrient cycling and microbial decomposition pathways. Integrated carbon stability indices further suggested a shift toward more decomposable carbon pools under earthworm treatments. Together, our results demonstrate that earthworm colonization can fundamentally reorganize vertical carbon distribution and biogeochemical functioning in peat soils. These findings highlight soil fauna as an overlooked but potentially critical mediator of peatland carbon destabilization under climate-driven degradation.

How to cite: Zhang, H., Eisenhauer, N., and Chen, H.: Earthworm colonization weakens vertical carbon stratification in alpine peat soils under climate-relevant degradation scenarios, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17970, https://doi.org/10.5194/egusphere-egu26-17970, 2026.

EGU26-18222 | ECS | Posters on site | SSS4.2

Exploring Establishment and Persistence of Enterococci in Agricultural Soils under Controlled Abiotic and Biotic Conditions 

Milan Borchert, Damien Finn, and Christoph Tebbe

Soil biodiversity is increasingly recognized as an important part of the One Health framework. It is known to be pivotal not only for sustaining agricultural productivity, but also as a biological barrier limiting the establishment and persistence of livestock-associated pathogens. While direct transmission pathways between animals and humans are well documented, the role of soil microbial communities in regulating pathogen survival outside hosts remains poorly understood.

We investigate how abiotic soil properties and native microbial biodiversity interact to constrain the environmental persistence of emerging zoonotic pathogens. Enterococci were used as a model for fecal-derived, opportunistic pathogens in agricultural systems. Combining field observations with controlled microcosm experiments, we studied soils from a free-range and a conventional pig farm representing contrasting management practices and soil textures. Enterococcal abundance was quantified using genus-specific qPCR, while bacterial community composition was assessed via 16S rRNA amplicon sequencing to characterize the ecological context of potential pathogen establishment.

Enterococcal DNA was detected across multiple management zones in freshly collected soils, with highest abundances in areas of recent pig activity. However, few viable cells were found across the samples. In sterile soil microcosms, Enterococcus lactis and E. sulfureus proliferated strongly in both sandy and silty soils, demonstrating that abiotic conditions alone do not prevent enterococcal growth. These results indicate that biotic interactions, rather than physicochemical constraints, are likely the dominant factor limiting enterococcal persistence in natural soils.

Ongoing experiments manipulate native microbial diversity gradients to disentangle mechanisms of biotic suppression, while integrated DNA/RNA analyses will distinguish active growth from residual necromass. By linking microbial community composition to pathogen exclusion, our work highlights soil biodiversity as a key ecosystem function contributing to “pathogen-resistant” soils. The experimental framework established here is broadly transferable to other soil-borne or fecal-associated pathogens, supporting risk assessment and sustainable soil management in agricultural landscapes.

How to cite: Borchert, M., Finn, D., and Tebbe, C.: Exploring Establishment and Persistence of Enterococci in Agricultural Soils under Controlled Abiotic and Biotic Conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18222, https://doi.org/10.5194/egusphere-egu26-18222, 2026.

EGU26-18324 | Orals | SSS4.2 | Highlight

Expanding toolbox for Microfluidic Soil Chips to study biophysicochemical interactions and microbial community dynamics 

Edith C. Hammer, Hanbang Zou, Carlos Arellano, Kristin Aleklett Kadish, and Milda Pucetaite

Soil is arguably the most complicated biomaterial on the planet. It is the largest terrestrial carbon sink, and the most species rich habitat on Earth. Microorganisms driving biogeochemical cycles live and interact in the soil’s intricate pore space labyrinth, but they are difficult to study in their realistic settings because of the soil’s opaqueness. Microfluidic Soil Chips allow us to study the impact of soil physical microstructures on microbes and vice versa, realistic microbial interactions, and microbial impact on biogeochemical cycles live and at the scale of their cells.

 

Chips can be tailored according to each research question, designing labyrinths or realistic image-based pore spaces, and also microchemical conditions can be varied in a controlled manner. We found that pore space geometry impacted the growth and degradation activity of the two microbial groups - bacteria and fungi - in synthetic communities in opposing ways: fungi were inhibited by increasing spatial complexity of the pore space, while bacteria and their enzymatic activity were enhanced in increasingly intricate pore spaces.

 

We can study bio-physical interactions throughout processes such as drying, freezing and soil aggregation, and can trace biochemical changes of cells and their environment, including metabolic rates of single fungal hyphae, via Raman microspectroscopy. Inoculating the chips with soil brings a large proportion of the natural microbial community into their inner microstructures, allowing us to study and manipulate interactions among species embedded in their complex food webs. We developed AI-based image analyses for soil bacteria, fungi and protists that aid counting, movement tracking and morphotyping biodiversity, which can complement molecular biodiversity measurements. The soil chips enable us to conduct complex ecological studies, such as testing the effect of predator removal on community composition and bacterial and fungal population and necromass dynamics.

 

Beyond the scientific potential, the image footage from soil chips can also bring soil ecosystems closer to people,aiming to increase appreciation of their beauty, and engagement in soil health conservation.

How to cite: Hammer, E. C., Zou, H., Arellano, C., Aleklett Kadish, K., and Pucetaite, M.: Expanding toolbox for Microfluidic Soil Chips to study biophysicochemical interactions and microbial community dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18324, https://doi.org/10.5194/egusphere-egu26-18324, 2026.

EGU26-18561 | ECS | Posters on site | SSS4.2

Effects of mechanical weeding with lightweight autonomous field robots on soil biological indicators  

Lukas Thielemann and Kathrin Grahmann

Regulatory constraints on herbicide use and the spread of herbicide-resistant weeds have increased the interest in mechanical weed control in European agriculture. In this context, autonomous field robots, for which mechanical weeding is currently the dominant application, are receiving growing attention in research and practice.

Mechanical weeding generally affects the upper soil layers compared to conventional tillage. Nevertheless, its higher frequency and timing may impose additional pressures on soil biodiversity through regular habitat disruption, direct damage to soil fauna, or interactions with soil water. While the effects of conventional mechanical weeding on soil biology are sparsely studied, even less is known about the effects of mechanical weeding with autonomous field robots on soil biological parameters. Robotic weed control may affect soils differently from traditional mechanical weed control due to variations in driving speed, working width, and operational frequency.

To assess potential effects on soil fauna, we conducted several field experiments in 2024 and 2025, comparing mechanical weeding by different robots (NaioOZ, FarmDroid FD20, and FarmingGT) with chemical weed control or mechanical weeding using conventional machinery. The experiments were conducted at three sites in Germany and were cropped either with sugar beet (Beta vulgaris) or maize (Zea mays). The first site in Eastern Germany (landscape laboratory patchCROP) is sand dominated (Loamy sand), whereas the soils at the second site in Bavaria and the third site in central Germany have finer textured soils (Silty loams).

Several biological soil indicators were assessed depending on the experimental site, including feeding activity using Von Törne bait lamina sticks placed in consecutive periods starting directly after the last of several weeding operations, carabid beetle and spider abundance collected via pitfall traps in consecutive sampling intervals during and after weeding, and earthworm abundance determined by hand sorting in the autumn following robotic activity in summer. In addition, chemical and physical soil parameters were determined before and after weeding, including pH, soil organic carbon content, bulk density, and aggregate stability indices.

Preliminary results indicate trends towards reduced feeding activities, decreased earthworm biomass, and lower carabid abundance under mechanical weeding with autonomous field robots, highlighting the need for systematic assessment of biological soil responses to robotic field management. We will discuss implications for soil-smart robot implementation with respect to the frequency and intensity of robotic interventions and outline future research directions.

How to cite: Thielemann, L. and Grahmann, K.: Effects of mechanical weeding with lightweight autonomous field robots on soil biological indicators , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18561, https://doi.org/10.5194/egusphere-egu26-18561, 2026.

EGU26-18765 | ECS | Posters on site | SSS4.2

Impacts of climate change related flooding on earthworm populations 

Ben Pile, Mark Hodson, Michael Berenbrink, Megan Klaar, Kristian Daly, and Qiuyu Zhu

Earthworms play important roles in maintaining soil structure and function, soil aeration, drainage, the moisture holding capacity of soils and the cycling of nutrients. The presence of earthworms in soil can lead to greater plant growth. Evidence suggests that earthworm abundance has been declining over the last several decades, which potentially negatively impacts soil function. Anthropogenic climate change means extreme weather events are becoming more frequent and intense; flooding is particularly relevant for earthworm populations, with increasing flood frequency and duration. Soils become rapidly anoxic when flooded, which threatens earthworm survival. We are investigating whether flooding is likely to change earthworm populations, through changes in abundance, diversity and distribution.

 

We carried out surveys to sample earthworms, collecting data on abundance and species distributions at field sites with twinned flooding and non-flooding areas and differing soil moistures and flooding histories. In laboratory experiments we have been working with common UK species, such as the lob worm Lumbricus terrestris, the green worm Allolobophora chlorotica, the grey worm Aporrectodea caliginosa, the blue-grey worm Octolasion cyaneum, and the European nightcrawler compost worm Dendrobaena veneta.

 

To determine moisture preferences of earthworm species we carried out choice chamber experiments, providing standard soils with a gradient of soil moisture contents. All species had similar, but soil specific, moisture preferences, choosing moist, but not waterlogged conditions.

 

Survival experiments were carried out, exposing earthworms to conditions of restricted oxygen, simulating flood conditions. Species commonly found in wetter or drier soils were found to survive for a similarly short duration of approximately 22 hours in oxygen-depleted water (0.25 mg l-1 dissolved oxygen). This is in contrast to our previous research in which A. chlorotica, a species that is able to aestivate, survived in oxygen-depleted water, whereas L. terrestris did not. Furthermore, A. chlorotica has more oxygen-carrying haemoglobin (0.22 vs 0.125 µmol Hb g-1), and its haemoglobin is more efficient at binding and retaining oxygen than the much larger L. terrestris (4.18 vs 11.47 mmHg P50), which suggests that A. chlorotica may be better adapted to survive in oxygen-depleted conditions resulting from flooding.

 

We are also monitoring the hatching success of earthworm cocoons exposed to 90 hours of oxygen depletion in simulated flood conditions. Cocoons were subjected to oxygenated conditions of 2 mg l-1 or a treatment restricted to 0.25 mg l-1 of dissolved oxygen for the duration. The majority of cocoons of A. chlorotica and D. veneta remain viable when subjected to reduced oxygen but suffer lower hatching success than those with unrestricted oxygen. A difference was found between species, D. veneta retained higher viability than A. chlorotica, time to hatching was found to be delayed in both species when exposed to low oxygen conditions.

 

The above evidence is consistent with an increasing frequency of flooding causing changes in earthworm population structure and potentially reducing earthworm abundance, with cocoons being a key component for the survival of earthworm populations after flood events. Our results highlight one possible consequence of climate change on earthworm populations and consequent impacts on soil functionality.

How to cite: Pile, B., Hodson, M., Berenbrink, M., Klaar, M., Daly, K., and Zhu, Q.: Impacts of climate change related flooding on earthworm populations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18765, https://doi.org/10.5194/egusphere-egu26-18765, 2026.

EGU26-19691 | ECS | Posters on site | SSS4.2

Biodiversity of soil microbial communities in conventional and organic agriculture in Southern Sweden 

Frank B. Lake, Christine D. Bacon, Romain Carrié, Johan Ekroos, and Edith C. Hammer

Soil microorganisms in agricultural fields are an important contributor to soil nutrient cycling. The soil microorganism abundance and diversity are affected by multiple factors, including physical and chemical soil characteristics as well as agricultural farming practices, all of which combine to affect crop growth and crop yield. As organic farming bans the use of synthetic chemical inputs, inducing changes in soil tillage and fertilization types, we expect positive effects on the soil microbial communities compared to conventional farming systems. To test this, soils from 30 farms of both conventional and organic systems were sampled, including small grain cereals (annual crops) and leys (improved sown grassland - perennial crops). Soil chips inoculated with these soils were used to determine microscopically the abundance of different microorganism groups. This was followed by conducting molecular identification of microbial diversity (bacteria, fungi and protists) for fresh soils, lab incubated soils and internal parts of the soil chips. Results showed variable abundances across the microbial groups for both crop types and the agricultural systems. Preliminary molecular results of fresh soils indicate comparable genetic diversity within and between crops and farming systems. Molecular results were compared to soil chip samples resulting in rather small microbial community shifts for lab incubated soils, but with stronger shifts in internal parts of the soil chip. Our results show that microbial group abundances via soil chip microscopy vary for crop type and farming practices, indicating possible effects by specific field treatments. On the other hand, preliminary molecular microbial biodiversity results show comparable microbial diversities for the fresh sampled soils, indicating a rather stable microbial diversity in agricultural soils.

How to cite: Lake, F. B., Bacon, C. D., Carrié, R., Ekroos, J., and Hammer, E. C.: Biodiversity of soil microbial communities in conventional and organic agriculture in Southern Sweden, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19691, https://doi.org/10.5194/egusphere-egu26-19691, 2026.

EGU26-19745 | ECS | Orals | SSS4.2

In-vitro utilization of fungal necromass and plant litter by ectomycorrhizal fungi under contrasting mineral nitrogen availabilities 

Valentin B. Kurbel, Myrthe L. Detiger, Khatab Abdalla, Nicolas Tyborski, Alexander H. Frank, Ulrike Schwerdtner, and Johanna Pausch

Ectomycorrhizal (ECM) fungi represent major drivers of soil carbon (C) and nitrogen (N) cycling, as they liberate nutrients by decomposing soil organic matter (OM), especially when labile N is limited. However, in contrast to saprotrophic fungi, knowledge on the decomposition of OM of different origin by ECM fungi remains limited. Here, we investigated  the decomposition of fungal necromass and leaf litter by various ECM fungal species under different availabilities of mineral N, using in-vitro stable isotope tracing. We hypothesised that (I) the narrow C/N ratio of fungal necromass enhances decomposition and fungal growth compared to leaf litter, (II) N limitation increases the share of OM-N over mineral N in the fungal biomass, and (III) N limitation enhances respiration.

We grew four different ECM fungal species (Hebeloma cylindrosporum, Paxillus involutus, Laccaria bicolor, Suillus luteus) in the absence of OM, with Agaricus bisporus fungal necromass (C/N = 8) or with leaf litter of Ulmus laevis or Quercus alba (C/N = 29 and 60, respectively) on nutrient medium containing 13C-enriched glucose and two concentrations of 15N-enriched ammonium. We calculated the utilization of OM-C and OM-N for fungal growth and respiration after a minimum growth period of 45 days.

In accordance with hypothesis I, C from fungal necromass was more effectively utilized by ECM fungi (40% of the necromass-C) than C from leaf litter (around 5%). In contrast, the percentage utilization of OM-N was highest for the Q. alba leaf litter (40%). However, due to the narrow C/N of the necromass, this treatment still resulted in the highest absolute amount of OM-N being incorporated into ECM fungal biomass and consequently increased fungal growth. As expected in hypothesis II, the relative share of OM-N in the fungal biomass was higher under mineral N limitation, even if the absolute uptake of N from leaf litter was decreased. We did not find support for hypothesis III as mineral N limitation did not lead to an increased respiration. However, under N limitation, respiration of ECM fungi growing on leaf litter was increased while growth was reduced compared to the controls without OM, suggesting a shift in C and energy investment from growth to decomposition in the presence of OM. Interestingly, the patterns were surprisingly uniform across the tested species.

Our findings show that OM type and mineral N availability control ECM fungal C and N uptake, growth, and respiration across four tested species and highlight fungal necromass as an important source of organic N and C for ECM fungi.

How to cite: Kurbel, V. B., Detiger, M. L., Abdalla, K., Tyborski, N., Frank, A. H., Schwerdtner, U., and Pausch, J.: In-vitro utilization of fungal necromass and plant litter by ectomycorrhizal fungi under contrasting mineral nitrogen availabilities, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19745, https://doi.org/10.5194/egusphere-egu26-19745, 2026.

EGU26-21008 | ECS | Orals | SSS4.2

Experimental warming reshapes soil microbial communities and mineral-associated organic matter formation dynamics in a subarctic mineral horizon 

Andrea Moravcová, Alice Gredeby, Bowen Zhang, Honorine Dumontel, Johannes Rousk, and François François Maillard

Arctic and subarctic regions are warming faster than the global average, yet carbon dynamics in mineral horizons remain comparatively understudied despite large stocks stabilized as mineral-associated organic matter (MAOM). Clarifying how warming alters mineral-associated carbon (C) and nutrient pools, and the soil microbial communities that mediate MAOM formation and destabilization, is therefore critical for predicting Arctic carbon–climate feedbacks. Here, we experimentally warmed subarctic birch forest soil in Abisko, Sweden, using distinct regimes: chronic (year-round) warming and seasonal warming (summer-only or winter-only). To quantify MAOM formation potential, we developed recoverable Mineral Interface Sampling Probes (MISP) consisting of thin films of Fe- and Al-(hydr)oxides (MISP-Fe and MISP-Al) and coupled them with surface-sensitive spectroscopy techniques (X-ray photoelectron spectroscopy, XPS; Fourier-transform infrared spectroscopy, FTIR). Bacterial and fungal community composition and richness were assessed by high-throughput amplicon sequencing (16S rRNA gene and ITS markers), while microbial abundances were quantified by quantitative PCR (qPCR) as marker-gene copy numbers. Warming increased bacterial and fungal gene copy numbers and the fungal-to-bacterial ratio, while reducing richness in both domains, consistent with a community shift toward fewer warming-tolerant taxa. MISPs showed mineral-type-dependent responses in mineral-associated C formation potential (Fe vs Al (hydr)oxides), whereas mineral-associated N formation potential increased consistently under warmed treatments, yielding newly formed MAOM with a lower C:N ratio. Both microbial community shifts and MISP responses were strongest under summer warming, with comparatively weak responses under chronic or winter warming. Overall, summer warming increased microbial abundance and produced newly formed MAOM with a lower C:N ratio, consistent with soil warming shifting MAOM formation toward a microbial necromass-mediated pathway, where organic matter is processed through microbial biomass before stabilization on mineral surfaces. These findings highlight the sensitivity of MAOM pools and microbial communities in subarctic mineral soil horizons to soil warming.

How to cite: Moravcová, A., Gredeby, A., Zhang, B., Dumontel, H., Rousk, J., and François Maillard, F.: Experimental warming reshapes soil microbial communities and mineral-associated organic matter formation dynamics in a subarctic mineral horizon, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21008, https://doi.org/10.5194/egusphere-egu26-21008, 2026.

Fungal mycelia constitute a major structural component of soils and play a central role in carbon (C) cycling. Yet, despite their importance, we lack a mechanistic understanding of how variation in mycelial morphology translates into differences in soil C dynamics and stabilization. In particular, the role of intraspecific variation (i.e. the genetic and phenotypic diversity within a single fungal species) remains largely unexplored. This gap represents a critical barrier to predicting the formation and persistence of soil C pools under ongoing environmental change.

This project addresses this challenge by using the model filamentous fungus Neurospora crassa to test how intraspecific variation influences soil C partitioning and respiration. We quantify how morphologically distinct strains of N. crassa differ in their contributions to soil respiration and to the formation of particulate organic matter (POM) versus mineral-associated organic matter (MAOM). Controlled soil microcosm experiments will allow us to directly link fungal traits (e.g. hyphal density, branching architecture) to C fluxes and stabilization pathways.

By leveraging a model organism, this work enables a level of experimental resolution that is difficult to achieve in complex natural communities. This approach allows us to move beyond species-level averages and explicitly test how individual-level variation shapes ecosystem processes in soils. Ultimately, we aim to identify the fungal traits and underlying genetic mechanisms that promote long-term C stabilization in soils.

By uncovering the mechanistic links between fungal intraspecific diversity and soil C dynamics, this project advances a shift from descriptive to predictive soil ecology. The results will provide a foundation for incorporating fungal trait variation into soil C models, thereby improving predictions of soil C permanence and refining our understanding of fungi as precise, trait-driven regulators of the terrestrial carbon cycle.

How to cite: Nieminen, V. and Aguilar-Trigueros, C.: A model-system approach to disentangle the role of intraspecific fungal effects on soil carbon cycling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22604, https://doi.org/10.5194/egusphere-egu26-22604, 2026.

EGU26-1925 | Posters on site | SSS4.3

Deciphering the mechanisms underlying soil fauna-microbe interactions 

Guille Peguero, Xavier Domene, Stefania Mattana, Dolores Asensio, Sara Sanchez-Moreno, Lucia Fuchslueger, Hannes Schmidt, Andreas Richter, and Josep Peñuelas

Soil fauna and microbial communities are key drivers of soil organic matter turnover and nutrient cycling, but we are still far from unraveling the mechanisms underlying the full complexity of their interactions. While soil fauna is generally hypothesized to release microbes from bottom-up resource limitations, they could also exert a strong top-down control by either direct feeding or by shifting the stoichiometric balance of the soil solution, thus constraining microbial growth. To try filling this knowledge gap we report novel data on a microcosm incubation experiment in which we controlled the presence of meso and macrofauna and measured the flows of carbon (C), nitrogen (N) and phosphorus (P) from litter to the different soil pools and tracked their effects on a comprehensive set of microbial functioning variables which included growth rates, stoichiometry, enzyme activity, substrate degrading capacity, and rates of N and P mineralization and consumption. Additionally, we evaluated changes in the microbial community composition through 16S, ITS and 18S DNA marker sequencing. Soil macrofauna boosted the release of C, N and P from the litter pool. This led to a strong increase in dissolved organic C and a moderate increase in free amino acids, ammonium and phosphate concentration, thus resulting in a sharp increment of the C:N and C:P ratios in the soil solution. Microbial C and growth were greater in the microcosms with meso and macrofauna, but their C-use efficiency did not change. Macrofauna presence boosted the microbial gross production and consumption of amino acids, ammonium and nitrate, but P mobilization and uptake rates remained equal across treatments. The activity of beta-glucosidase also increased with macrofauna while N and P mining enzyme activities did not change. Overall, soil macrofauna strongly up regulated microbial communities by releasing them from C limitation.

How to cite: Peguero, G., Domene, X., Mattana, S., Asensio, D., Sanchez-Moreno, S., Fuchslueger, L., Schmidt, H., Richter, A., and Peñuelas, J.: Deciphering the mechanisms underlying soil fauna-microbe interactions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1925, https://doi.org/10.5194/egusphere-egu26-1925, 2026.

EGU26-3071 | Orals | SSS4.3

Quantifying the role of trophic guilds in soil organic carbon mineralization 

Mathilde Dahl, Fabrizzio Protti- Sánchez, Verena Groß, Anna Burns, Andrea Söllinger, Die Hu, Biplabi Bhattarai, Kenneth Dumack, Dennis Metze, Ivika Ostonen, Ivan Janssens, Bjarni Sigurdsson, Michael Bahn, Andreas Richter, and Tim Urich

Soil organic carbon (SOC) is a critical carbon pool on the planet, essential for soil functions and services such as climate regulation through C sequestration. SOC is dynamically recycled within microbial biomass and channelled into long term storage in the soil (the 'microbial carbon pump'). Understanding the biotic processes that drive SOC mineralization is essential for predicting the climate warming-carbon cycle feedback. The microbial pump is influenced by trophic interactions in the soil food web and SOC mineralization is a result of complex biotic interactions.
Here, we combined Tree-of-life sequencing (TOLseq; metatranscriptomic sequencing of ribosomal RNA for three-domain profiling of soil biota) with quantitative conversion factors which links transcript abundance to biomass, using standard parameters of microbial cell stoichiometry and physiology. We show how this can form the basis for energetic food web models, an approach we refer to as TOLmodel. The novel approach was applied on soil samples originating from natural grassland sites in Iceland (‘Forhot’ sites), where geothermal activity has created soil warming for more than 60 years, with soil warming gradients up to +6 °C used in this study. Field observations showed that warming reduced SOC stocks, but after years of warming SOC mineralisation had acclimated. 
Our TOLmodel approach allowed the quantification of soil biota, aligning with laboratory measurements of microbial biomass carbon, and their SOC mineralization rates, aligning with measured CO2 efflux from the field site. Furthermore, the food web model revealed how decimated soil fauna under soil warming relaxed the top-down control of microbial growth increasing SOC mineralisation rate per unit microbial biomass six-fold during summer.

How to cite: Dahl, M., Protti- Sánchez, F., Groß, V., Burns, A., Söllinger, A., Hu, D., Bhattarai, B., Dumack, K., Metze, D., Ostonen, I., Janssens, I., Sigurdsson, B., Bahn, M., Richter, A., and Urich, T.: Quantifying the role of trophic guilds in soil organic carbon mineralization, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3071, https://doi.org/10.5194/egusphere-egu26-3071, 2026.

EGU26-3200 | ECS | Posters on site | SSS4.3

Predicting Microbial Functional Diversity for Decomposition along an Aridity Gradient 

Luciana Chavez Rodriguez, Robin Martens, and Gerlinde De Deyn

Soil microbial communities are rarely represented in soil models or with extreme simplifications due to their complexity. Acknowledging that temperature and moisture are the primary controls over microbial functional diversity, this research aims to determine the extent to which soil functional diversity can be predicted based on these factors. We used the aridity index (AI), as this easy-to-measure metric includes temperature and moisture. Following the YAS framework, a widely accepted trait-based approach to characterize soil microbial communities, we hypothesized that under an identical food source, the functional strategies employed by the community will go from high growth yield (Y) in humid areas to higher investment in stress tolerance (S) in arid areas. We also expected a trade-off between investment in S and Y, while relative investment in A (resource acquisition) should remain constant. We further hypothesized that AI is a decent predictor of the microbial investments into the Y, A, and S traits. We used the DEMENTpy model, an in silico simulator, to derive YAS investments for hypothetical soil microbial communities at five sites along an aridity gradient in Spain. We validated model simulations using mass loss from Rooibos tea samples from each site and employed a Dirichlet regression model to predict YAS investments, using AI. Contrary to the hypotheses, increasing aridity changes community investment from Y to A, with limited changes in S. The A strategy could be predicted considerably well based on AI, while Y and S could not. Together with further validation of our modeling results with experimental data, our findings lay the groundwork in deriving simple mathematical formulations that can be integrated into Earth system models, allowing for upscaling from genomes to Earth system processes.  

How to cite: Chavez Rodriguez, L., Martens, R., and De Deyn, G.: Predicting Microbial Functional Diversity for Decomposition along an Aridity Gradient, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3200, https://doi.org/10.5194/egusphere-egu26-3200, 2026.

EGU26-3996 | ECS | Orals | SSS4.3

Land-use driven microbial community legacy shapes soil functionality 

Harry T. Child, Nina L. Friggens, Cheryl Hook, Elizabeth L. Cressey, Lucy Wierzbicki, Gabrielle R. Joslin, John Dowdle, Ezekiel K. Bore, Kees Jan van Groenigen, Richard K. Tennant, and Iain P. Hartley

Microbial communities are central to soil ecosystem function. However, the extent to which functional diversity is conserved across communities, providing resilience to environmental change, remains uncertain. Here, we investigated how microbial legacy and soil properties shape community assembly and function, by cross-inoculating distinct microbial communities into sterilised soils from agricultural and semi-natural habitats within a 6 km radius. Over a 10-month incubation, the soil environment drove microbial community convergence at high taxonomic ranks, but fine-scale community composition and functional outcomes remained distinct. Distinct microbial communities showed a ‘home-field advantage’ in soil carbon use that increased cumulative respiration by 16-26% in agricultural soils and by 26-84% in semi-natural soils, demonstrating limited redundancy of broad ecological function between soil communities. Increased soil respiration in home-field soil communities was associated with significantly higher microbial diversity, indicating filtering selection driven by unfamiliar soil abiotic environments. Distinct communities also caused significant shifts in soil pH associated with contrasting inorganic nitrogen transformations, exposing limited conservation of specialised metabolic functions. In summary, microbial community legacy had a lasting influence on carbon and nitrogen cycling, and thus, the effects of anthropogenic land use change on soil microbial functional diversity will likely have substantial impacts on these key ecosystem processes. These findings have implications for the resilience of soil health and function under land use change and the potential for predicting the success of ecosystem restoration efforts, given the limited conservation in functional potential.

How to cite: Child, H. T., Friggens, N. L., Hook, C., Cressey, E. L., Wierzbicki, L., Joslin, G. R., Dowdle, J., Bore, E. K., van Groenigen, K. J., Tennant, R. K., and Hartley, I. P.: Land-use driven microbial community legacy shapes soil functionality, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3996, https://doi.org/10.5194/egusphere-egu26-3996, 2026.

The Anthropocene exerts various pressures and influences on the stability and function of the Earth’s ecosystems. However, our understanding of how the microbiome responds in form and function to these disturbances is still limited, particularly when considering the phyllosphere, which represents one of the largest microbial reservoirs in the terrestrial ecosystem. In this study, we comprehensively characterized tree phyllosphere bacteria and associated nutrient-cycling genes in natural, rural, suburban, and urban habitats in China. Results revealed that phyllosphere bacterial community diversity, richness, stability, and composition heterogeneity were greatest at the most disturbed sites. Stochastic processes primarily governed the assembly of phyllosphere bacterial communities, although the role of deterministic processes (environmental selection) in shaping these communities gradually increased as we moved from rural to urban sites. Our findings also suggest that human disturbance is associated with the reduced influence of drift as increasingly layered environmental filters deterministically constrain phyllosphere bacterial communities. The intensification of human activity was mirrored in changes in functional gene expression within the phyllosphere microbiome, resulting in enhanced gene abundance, diversity, and compositional variation in highly human-driven disturbed environments. Furthermore, we found that while the relative proportion of core microbial taxa decreased in disturbed habitats, a core set of microbial taxa shaped the distributional characteristics of both microbiomes and functional genes at all levels of disturbance. In sum, this study offers valuable insights into how anthropogenic disturbance may influence phyllosphere microbial dynamics and improves our understanding of the intricate relationship between environmental stressors, microbial communities, and plant function within the Anthropocene

How to cite: Li, J.: From nature to urbanity: exploring phyllosphere microbiome and functional gene responses to the Anthropocene, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4370, https://doi.org/10.5194/egusphere-egu26-4370, 2026.

EGU26-4768 | ECS | Posters on site | SSS4.3

Response of soil micro-food webs to climate change in karst ecosystems: A soil translocation experiment based on tiankeng 

Cong Jiang, Changchun Qiu, Caiqin Zhou, and Wei Shui

Karst tiankengs are established hotspots of biodiversity for macro-organisms. In contrast, the soil micro-food web, structured around microbes, protozoa, and nematodes, represents a critical yet understudied component of subsurface ecosystem diversity and functioning. Its patterns of diversity and underlying maintenance mechanisms remain largely unresolved. To address this, we conducted a three-year bidirectional soil translocation experiment between the interior and exterior of a tiankeng, assessing responses of the soil micro-food web and soil multifunctionality to these distinct habitats. We found that soil translocation significantly altered the diversity, composition, and structure of the micro-food web, with variation in responses across different trophic levels. These shifts were primarily driven by the contrasting environmental regimes, including temperature, humidity, and soil resource availability, between the tiankeng interior and the external environment. Specifically, outward translocation negatively impacted key attributes of the micro-food web. Enhanced competitive interactions between bacteria and fungi exerted bottom-up control, restructuring the entire network. Notably, the tiankeng interior sustained a more complex and stable soil micro-food web, supported higher levels of soil multifunctionality, and demonstrated that micro-food web complexity is pivotal in regulating multifunctionality. Our findings underscore the potential of tiankengs to act as climate refugia and biodiversity reservoirs under future climate change scenarios. Moreover, tiankengs can serve as natural open‑top laboratory models, offering a novel and powerful perspective for simulating the responses of subsurface ecosystems to climate change.

How to cite: Jiang, C., Qiu, C., Zhou, C., and Shui, W.: Response of soil micro-food webs to climate change in karst ecosystems: A soil translocation experiment based on tiankeng, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4768, https://doi.org/10.5194/egusphere-egu26-4768, 2026.

EGU26-5381 | ECS | Posters on site | SSS4.3

Taking the heat: soil warming optimum of CH4 uptake in subarctic mineral soils 

Annelie Skov Nielsen, Klaus Steenberg Larsen, and Jesper Riis Christiansen

Atmospheric methane (CH4) uptake in subarctic and Arctic mineral soils is significant for the CH4 budget of high-latitude regions, but its response to warming is not well understood. The effect of soil warming on net CH4 uptake was studied in situ across a natural warming gradient (ambient to +  57.5 °C) in a geothermal area in Southwest Iceland. The study site represented a subarctic grassland on mineral soil with field measurements conducted in summer and fall 2021. Combined automatic and manual dynamic chamber CH4 flux measurements across the warming transect showed that net CH4 uptake increased with 0.26 nmol CH4 m−2 s−1 per 1 °C of soil warming from ambient soil temperature up to about + 4 °C of soil warming. Soil warming above + 4 °C resulted in a gradual decrease of net CH4 uptake corresponding to 0.1 nmol CH4 m−2 s−1 per 1 °C of soil warming up to + 13 °C. With further soil warming, in situ net CH4 fluxes were probably affected by geogenic emissions during the effective study period. These trends of enhanced in situ net CH4 uptake with mild soil warming followed by a decreasing uptake rate with further warming were confirmed in a laboratory incubation experiment showing that the in situ response to temperature <  + 13 °C was biogenic rather than geogenic. It is still not known whether the observed trends are due to adaptation of the community structure to temperature, differential regulation of activity or abundance. Our findings point to a window of future soil warming up to about + 4 °C where net CH4 uptake in subarctic grassland mineral soils is likely to increase, while further soil warming may result in a decrease of this important CH4 sink below ambient level. To expand the representativeness of these findings, we encourage future studies to include similar incubation experiments of the warming response for soils across the Arctic.

How to cite: Nielsen, A. S., Larsen, K. S., and Christiansen, J. R.: Taking the heat: soil warming optimum of CH4 uptake in subarctic mineral soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5381, https://doi.org/10.5194/egusphere-egu26-5381, 2026.

Carbon use efficiency (CUE) of microbial communities in soil quantifies the proportion of organic carbon (C) taken up by microorganisms that is allocated to growing microbial biomass as well as used for reparation of cell components. This C amount in microbial biomass is subsequently involved in microbial turnover, partly leading to microbial necromass formation, which can be further stabilized in soil. To unravel the underlying regulatory factors and spatial patterns of CUE on a large scale and across biomes (forests, grasslands, croplands), we evaluated 670 individual CUE data obtained by three commonly used approaches: (i) tracing of a substrate C by 13C or 14C incorporation into microbial biomass and respired CO2 (hereafter 13C-substrate), (ii) incorporation of 18O from water into DNA (18O-water), and (iii) stoichiometric modelling based on the activities of enzymes responsible for C and nitrogen (N) cycles. The global mean of microbial CUE in soil depends on the approach: 0.59 for the 13C-substrate approach, and 0.34 for the stoichiometric modelling and for the 18O-water approaches. Across biomes, microbial CUE was highest in grassland soils, followed by cropland and forest soils. A power-law relationship was  identified between microbial CUE and growth rates, indicating that faster C utilization for growth corresponds to reduced C losses for maintenance and associated with mortality. Microbial growth rate increased with the content of soil organic C, total N, total phosphorus, and fungi/ bacteria ratio. Our results contribute to understanding the linkage between microbial growth rates and CUE, thereby offering insights into the impacts of climate change and ecosystem disturbances on microbial physiology with consequences for C cycling.

How to cite: Kuzyakov, Y. and Hu, J.: Microbial Carbon Use Efficiency and Growth Rates in Soil: Global Patterns and Drivers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7686, https://doi.org/10.5194/egusphere-egu26-7686, 2026.

Permafrost forests harbor vast, climate-sensitive carbon (C) reservoirs whose vulnerability largely depends on temperature sensitivity of microbial respiration (Q10). However, substantial uncertainties persist in predicting Q10 patterns due to complex interactions among multiple ecological factors. Here, we conducted a standardized field survey with controlled incubations across a regional gradient from continuous permafrost (CP) and discontinuous permafrost (Dis-CP, including sporadic and isolated one) in the Greater Khingan Mountains to quantify Q10 values and identify their main ecological controls. We found that the Q10 values were significantly higher in CP than Dis-CP forests, indicating a stronger microbial respiratory response to warming in the coldest permafrost regions. Statistical analysis revealed that the soil microbiome was the most important factor explaining Q10 values in CP forest (47.8%), whereas a distinct set of factors (plant production, fine texture, substrate quality, and mean annual ground temperature) explained the largest proportion (63.2%) of Q10 variation in Dis-CP forests. Our findings suggest that warming-induced permafrost degradation is likely shift the dominant controls for Q10 from microbial community to abiotic and plant-related factors, while enhancing greenhouse gas emissions from permafrost soils. 

How to cite: Huang, C. and Zhou, X.: Warming-induced carbon vulnerability in permafrost forests: a shift in Q10 from continuous to discontinuous zones, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9333, https://doi.org/10.5194/egusphere-egu26-9333, 2026.

Plants and their soil microbial communities are connected by plant-root exudates that shape the soil microbiome. Monocultures of plants give a clearer plant-soil signal than mixtures of plant species, but the latter is what we deal with in natural systems. Grasses, herbs and legumes and their plant-root traits all have their own exudate types that alter plants and soil communities to cope with prolonged periods of drought and with repelling or attracting plant pathogens or symbionts. Having an insight in how plants shape soil microbiomes and how soil microbiomes shape plant communities are therefore crucial to sustain soil health and food security for the future but also important in the restoration of degraded soils. This talk will cover some possibilities to influence soil quality with plants steering the microbiome and how the microbiome steers the plant community in return. For the future of our planet it will be important to use plant-soil interactions to keep our soils healthy and resilient to ensure food security for the generations ahead. My current and past work focusses on plant-soil interactions and microbiome steering via plants to increase soil carbon stabilization. I pledge that fungi are superhero’s in this respect because they are very active in most soils even when low in biomass. Moreover, fungi have a high carbon use efficiency and if they are hyphal, their necromass tissue can be resilient against quick decomposition, and therefore can potentially contribute to stable carbon inputs.

How to cite: Morriën, E.: Using plant-soil-microbe interactions to retain soil functions under global change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11469, https://doi.org/10.5194/egusphere-egu26-11469, 2026.

EGU26-13033 | ECS | Posters on site | SSS4.3

Does flooding proliferate metal and antibiotic resistance genes in riverine floodplains? 

Mara Breit, Dominik Buob, Mathias Scholz, Anja Worrich, and E. Marie Muehe

Global change-driven floods1 not only reshape or destroy landscapes but may also create hotspots for antimicrobial resistance. During a flooding event, contaminants and nutrients are mobilized, redistributed, and deposited across flooded areas2. While antimicrobial substances, i.e. metals and antibiotics, naturally occur in low concentrations in the environment, their levels often increase through anthropogenic activities3. These contaminants contribute to the unprecedented loss in soil health affecting the soils’ microbiome and its ecosystem functions3. As a microbial adaptation, metal (MRGs) and antibiotic resistance genes (ARGs) proliferate in the environment. Microbial resistance may enhance soil resilience, yet the spread and proliferation of ARGs poses a major public health threat, contributing to the failure of medical treatments and millions of deaths annually6. ARGs and MRGs are often co-located on the same mobile genetic elements, and are thus co-proliferated together even in the absence of one of the contaminants7. By entering rivers through runoff, leaching and discharge8 contaminants can be transferred downstream and accumulate in flood-prone areas. Thus, riverine floodplains may likely be co-exposed to metals and antibiotics and function as reservoirs for resistance genes, potentially facilitating their transfer to humans.

To evaluate how resistance acquisition evolves after flooding, a mesocosm study with combined and single metal and antibiotic contamination of a floodplain grassland from the Elbe river was conducted. Environmentally relevant concentrations of metals, antibiotics, their combination, or uncontaminated water were applied in a single flooding event. Contaminant fate in porewater and microbial resistance in soil were traced over seven weeks.              

The added metal load was not detectable in the mobile phase of soil porewater one day after flooding, indicating adsorption to soil particles. Nevertheless, plants responded with a contaminant-dependent increase in the chlorophyll a/b ratio within two weeks after flooding. In addition, flooding induced microbial cell growth, with the magnitude and timing of growth peaks depending on the contamination treatment. The metal treatment induced a rapid increase in 16S rRNA gene copies as well as a slight increase of MRGs after two weeks, whereas antibiotics and the combined treatment resulted in a delayed response followed by a slower decrease in both gene abundances. Metals and antibiotics combined did not amplify but rather attenuated this microbial response. Subsequently, ARGs were correlated with MRG responses. Overall, even though the microbial community responded to the stressors, the magnitude and duration of effects indicate that the active and diverse community of floodplain soils could be able to buffer low contamination events.      
Increasing frequency of extreme weather events and ongoing contaminant accumulation can further challenge the resilience of microbial communities in flood-impacted soils, highlighting their role as flood protection and water filters but also their vulnerability.        

1 IPCC, 2023 
2 Crawford et al., J Hazard Mater, 2022
3 Cycoń et al., Front Microbiol, 2019
4 Lado et al., Geoderma, 2008
5 IPBES, 2018
6 Naghavi et al., Lancet, 2024
7 Imran et al., Chemosphere, 2019
8 Bailey et al., J Soils Sediments, 2015

How to cite: Breit, M., Buob, D., Scholz, M., Worrich, A., and Muehe, E. M.: Does flooding proliferate metal and antibiotic resistance genes in riverine floodplains?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13033, https://doi.org/10.5194/egusphere-egu26-13033, 2026.

Climate projections predict an increase of frequency and/or intensity of extreme precipitation and drought events in temperate agroecosystems, leading to more pronounced drying–rewetting cycles (DWC). These moisture fluctuations trigger pulses of CO2 emissions from soil microbial activity—the Birch effect—which may destabilize soil organic carbon (SOC) stocks. However, large variability in the magnitude of this effect persists across studies, suggesting a strong influence of soil properties and land management, as well as methodological differences (e.g. lack of continuous CO2 measurement, inconsistent controls).

We addressed this issue through a controlled incubation of undisturbed soil cores from three French agricultural sites with contrasting textures (sandy, loamy, clayey) and management (conventional cropping, organic farming, conservation agriculture, permanent grassland). Soils were subjected to (i) five successive temperate DWC (1 week drying, 1 week rewetting, 70 days), (ii) five successive semi-arid DWC (6 weeks drying, 1 week rewetting, 245 days) and (iii) a constant moisture control. For each texture and management, the water content of the control was set to the mean value calculated over the temperate DWC. CO2 fluxes were monitored continuously, including during drying phases, enabling unbiased comparison of cumulative SOC mineralization across moisture regimes.

For both temperate and semi-arid scenarios, all soils showed pronounced CO₂ pulses upon rewetting, with declining amplitudes across successive cycles and strong modulation by soil texture and management. Relative to the constant-moisture control over the 70-day incubation, temperate DWC increased cumulative SOC mineralization for loamy soils managed conventionally and organically, and in sandy soils under permanent grassland. These differences were primarily explained by soil texture and water retention properties, with management effects depending on their interaction with clay content. Prolonged drought did not systematically increase SOC mineralization, indicating a context-dependent saturation of the Birch effect. Microbial biomass generally declined under longer droughts, whereas the metabolic quotient—defined as the ratio of cumulative mineralization during the last rewetting to final microbial biomass—increased with drought duration, except in grassland soils.

These results indicate a buffering effect of finer-textured and structurally stable soils, consistent with a joint biotic–abiotic control of the Birch effect shaped by soil texture and its interaction with land management. Recurrent DWC may progressively deplete labile SOC and destabilize protected SOC pools, with implications for SOC persistence under future climates. More mechanistic understanding is needed to improve predictions across soils, land uses, and management systems, and to integrate these dynamics into SOC models.

Keywords Drying–rewetting cycles ; Birch effect ; Soil texture ; Land use ; Agricultural management; Carbon mineralization ; Soil organic carbon; Climate change.



How to cite: Plaçais, T.: Soil texture and management jointly control the Birch effect under repeated drying–rewetting cycles, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13336, https://doi.org/10.5194/egusphere-egu26-13336, 2026.

EGU26-13381 | ECS | Posters on site | SSS4.3

What shapes nitrifiers in drylands? Global drivers of AOA and AOB abundance across microsites 

Norah Alghamdi, Mario Corrochano-Monsalve, and Fernando T. Maestre

Nitrifying microbes play a central role in soil N cycling by controlling N transformations and the potential for N losses (including the greenhouse gas N2O). Yet, the drivers of nitrifier communities remain poorly resolved across global drylands, which cover more than 40% of terrestrial surface. A mechanistic, global scale understanding of the controls on nitrifiers is thus critical for forecasting dryland N cycling and N loss pathways under climate change and land-use pressures. Using a standardized global dryland survey spanning 98 dryland rangelands in 25 countries, we quantified the abundance of ammonia-oxidizing bacteria (AOB), and ammonia-oxidizing archaea (AOA) across contrasting vegetated and bare microsites (a defining feature of dryland landscapes). We applied (structural/linear) equation modeling to assess climatic, edaphic, geographic, grazing, and vegetation controls. Controls on nitrifier abundance differed between microsites. Vegetated microsites were mainly driven by soil resources: ammonium showed a positive relationship with AOB and the total abundance of nitrifiers, whereas soil organic C had a consistent negative effect. Bare microsites showed stronger climatic control, with AOA and total nitrifiers exhibiting a U-shaped response to mean annual temperature. We didn’t see any effects of increased grazing pressure on total nitrifiers. Overall, these results highlight microsite context as a key regulator of nitrifier communities across global dryland rangelands. They indicate that changes in vegetation cover and patch structure through their effects on vegetated–bare soil balance and canopy buffering are likely to be a key pathway by which ongoing global change restructures nitrifier abundance and nitrogen cycling in drylands.

How to cite: Alghamdi, N., Corrochano-Monsalve, M., and T. Maestre, F.: What shapes nitrifiers in drylands? Global drivers of AOA and AOB abundance across microsites, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13381, https://doi.org/10.5194/egusphere-egu26-13381, 2026.

EGU26-14751 | ECS | Posters on site | SSS4.3

Mechanistic Modelling of Wetland Methane Dynamics in the JULES Land Surface Model: Representing Redox-Driven Substrate Dynamics and Microbial Switching 

Yanxin Liu, Sofie Sjogersten, Eleanor Burke, Shaun Allingham, Sarah Chadburn, Juliette Bernard, Angela Gallego-Sala, Carolina Duran-Rojas, and Richard Betts

Wetlands, as the largest natural source of methane (CH₄) emissions, have received increasing attention in climate modelling. Recognising that methanogenesis is governed by anaerobic microbial processes, some models explicitly represent methanogen activity to simulate CH₄ emissions from permanently inundated wetlands. In such models, CH₄ emissions from seasonally flooded wetlands are usually estimated using an empirical oxidation factor to represent methanotrophic consumption. However, this approach neglects an additional important effect of atmospheric oxygen ingress during hydrological drawdown: the stimulation of organic matter decomposition upon rewetting, analogous to the Birch effect in seasonally dry ecosystems.

Despite the high annual methane emissions from permanently inundated sites, some of the highest intensity CH₄ emission spikes throughout the year are exhibited by seasonally inundated systems, such as freshwater marshes, floodplain wetlands and fens. Consequently, improved mechanistic representation of biogeochemical processes in seasonally inundated wetlands is needed to robustly assess global wetland greenhouse gas contribution.

This study presents a process-based wetland biogeochemical model that explicitly represents oxygen-stimulated substrate dynamics and microbial functional differentiation. Dissolved organic carbon (DOC) is partitioned into a “dry DOC” pool that accumulates during dry periods, and a “wet DOC” pool that is replenished upon rewetting. Microbial processes include distinct aerobic and anaerobic pools, whose activities are regulated by soil water content (SWC). Aerobic microbial activity follows a Gaussian response to SWC, reflecting optimal activity under intermediate moisture conditions. Water table depth (WTD), a relatively commonly measured wetland metric, is used to infer vertical SWC profiles in the soil column through a fitted van Genuchten soil water retention curve.

The microbial-DOC framework is coupled with the Joint UK Land Environment Simulator (JULES), a community land-surface model simulating the exchanges of energy, water and carbon between the land surface and the atmosphere, which can also be used as the land surface scheme of the UK Earth System Model (UKESM). JULES drives the microbial-DOC module by providing partitioned pools of litter, soil organic carbon, and root exudates, each characterised by distinct turnover kinetics. Temperature sensitivity is represented using Arrhenius kinetics, while substrate and microbial limitations are described using Michaelis–Menten formulations. Model parameters are constrained using methane and carbon dioxide flux measurements, alongside methanogen abundance data, from flooded hardwood and palm forests in Panama.

Resolving oxygen-mediated substrate priming and microbial responses, the framework moves beyond oxidation-only representations and improves estimates of wetland carbon source–sink dynamics under climate change.

How to cite: Liu, Y., Sjogersten, S., Burke, E., Allingham, S., Chadburn, S., Bernard, J., Gallego-Sala, A., Duran-Rojas, C., and Betts, R.: Mechanistic Modelling of Wetland Methane Dynamics in the JULES Land Surface Model: Representing Redox-Driven Substrate Dynamics and Microbial Switching, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14751, https://doi.org/10.5194/egusphere-egu26-14751, 2026.

EGU26-14788 | Posters on site | SSS4.3

Decadal adaptation of methanotroph affinity to peatland water table manipulations 

Lukas Kohl, Nishadi Thalagahawatta Gam Acharige, Sumudu Ranasinghe, Mohadeseh Ramezanalaghehband, Maximilian King, Carlos Palacin, Dhiraj Paul, Anuliina Putkinen, Henri Siljanen, and Eeva-Stiina Tuittila

Peatland methanotrophs mitigate greenhouse gas emissions through oxidizing methane in shallow peat layers forming a filter that removes methane during diffusive transported towards the peat surface. Beside methanotrophs abundance, the effectiveness of this filter also depends on their affinity towards methane and oxygen, which might be affected by climate-driven changes in hydrology as wel as land management practices like drainage and restoration.

Here, we quantified the long-term effects of water-table depth (WTD) and WTD manipulation on the methanotroph affinity towards methane and oxygen. Samples were collected at the Lakkasuo peatland in central Finland. Within this site, we collected samples (10-20cm depth) from four sites along a hydrological gradient formed by long-running experiments (73 years drainage for forestry, 23 years experimental water table drawdown, undrained control) and natural in-site WTD variation (undrained lower water table). We quantified affinities (kM) and specific activities (a=vmax/kM) towards methane and oxygen in laboratory incubations with 50-50 000 ppm methane and 3-21% oxygen. At the same time, we surveyed the of the methanotroph communities at these sites through quantitative PCR of mmoX and pmoA subtypes as well as targeted metagenomics of the same genes.

Methane affinity increased from control (kM = 842 ppm, 90% central posterior distribution 702-1005ppm) to forestry drained (kM = 379 (268-506) ppm) and the low water table controls (527 (434-633) ppm), but decreased in response to experimental water table drawdown (1251 (988-1557) ppm). This indicates the establishment of relatively high affinity methanotrophs in foresty drained peat and under naturally lower WTD, but not in response to experimental water table drawdown. Substrate saturation toward oxygen was evident over 5-10% oxygen, but the precision was insufficient to identify differences along the gradient. Methanotroph composition showed a shift from pmoA II dominance at the control and undrained lower water table sites to pmoA Ia dominance in experimental water table drawdown and drainage for forestry.

Our results demonstrate that significant changes in methanotroph kinetics occur in response to WTD manipulations which may need to be considered in peatland methane models. Parameters derived from pristine peatlands may not be accurate immediately after rewetting when methanotroph communities are still adapted to low methane and high oxygen concentrations.

How to cite: Kohl, L., Acharige, N. T. G., Ranasinghe, S., Ramezanalaghehband, M., King, M., Palacin, C., Paul, D., Putkinen, A., Siljanen, H., and Tuittila, E.-S.: Decadal adaptation of methanotroph affinity to peatland water table manipulations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14788, https://doi.org/10.5194/egusphere-egu26-14788, 2026.

EGU26-16794 | ECS | Orals | SSS4.3

From microbial physiology to soil carbon stabilization: Controls across land use, management, and soil types 

Jarin Jose, Bruno Glaser, Klaus Kaiser, Akshda Mehrotra, Kezia Goldmann, Luis Daniel Prada Salcedo, Ingo Schoening, Marion Schrumpf, and Qing-fang Bi

Microbial growth and carbon use efficiency (CUE) play a central role in soil organic carbon (SOC) cycling by regulating microbial biomass production and subsequent necromass contributions to persistent SOC pools. Due to dynamic responses of CUE to environmental changes, it remains unclear how microbial physiological trade-offs translate into SOC stabilization via necromass retention. In this study, we investigated how microbial respiration, growth, and CUE are regulated by land-use type, management intensity, and soil properties across 300 grassland and forest plots in three regions of Germany. We aim to disentangle the abiotic and biotic drivers of microbial contribution to SOC accumulation along gradients of land-use intensity and biodiversity.
Grasslands exhibited higher microbial growth and respiration than forests (growth ≈ 0.35 vs 0.12 mg C kg⁻¹ h⁻¹, respiration ≈ 2.3 vs 1.0 mg C kg⁻¹ h⁻¹), while CUE did not differ between land-use types. In forests, tree species strongly influenced microbial physiology with higher growth and CUE in deciduous stands than in coniferous stands. Management intensity in grasslands, particularly nitrogen inputs, exerted positive indirect effects on microbial growth and CUE, whereas forest management had predominantly negative effects on CUE through direct and indirect changes in abiotic soil properties. Microbial biomass carbon and soil pH emerged as key drivers in forests, while grasslands showed more dynamic responses, likely driven by resource availability in soil.
To examine how microbial growth and carbon use efficiency (CUE) translate into necromass accumulation, we compared organic soils derived from degraded peat with mineral soils at different depths that differ fundamentally in substrate availability and soil properties. Mineral soils contained a higher proportion of microbial-derived carbon per unit SOC than organic soils, despite greater substrate availability and higher microbial activity in organic soils, consistent with stronger microbial necromass retention in mineral soils.
Together, these results show that microbial carbon dynamics and contributions to SOC are regulated by land use, management, and soil type through distinct controls on microbial growth, carbon use efficiency, and necromass retention, thereby influencing SOC persistence across managed ecosystems.

 

How to cite: Jose, J., Glaser, B., Kaiser, K., Mehrotra, A., Goldmann, K., Prada Salcedo, L. D., Schoening, I., Schrumpf, M., and Bi, Q.: From microbial physiology to soil carbon stabilization: Controls across land use, management, and soil types, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16794, https://doi.org/10.5194/egusphere-egu26-16794, 2026.

EGU26-16997 | ECS | Posters on site | SSS4.3

Linking cell division and storage: seasonally intensifying drought shifts microbial C allocation towards storage, with relative fungal resistance 

Lisa Stein, Alberto Canarini, Lucia Fuchslueger, Hannes Schmidt, Victoria Marie Ritter, Michael Bahn, Andreas Schaumberger, and Andreas Richter

Microbial communities are central to soil biogeochemical cycling. They assimilate organic carbon and either allocate it to biomass or return to the atmosphere as CO₂. Assimilated carbon can support cell division (growth sensu stricto) and also the synthesis of storage compounds or osmolytes (growth sensu lato). Yet, microbial growth is commonly quantified solely based on cell division. Under steady-state conditions, the partitioning of carbon between replicative and non-replicative growth may remain relatively constant (balanced growth), but climate change likely alters microbial growth dynamics and C allocation to different processes (unbalanced growth).

In this study, we investigated responses of microbial growth and storage compound synthesis in a multifactorial climate change experiment (ClimGrass) that included 4 treatments: (i) future climate conditions (elevated temperatures, +3°C, and increased atmospheric CO₂ concentrations, +300 ppm), (ii) a twelve-week summer drought, and (iii) a combination of future climate conditions and drought, as well as (iv) an ambient control. For this study, samples were collected from May (at the onset of drought) to August to capture intensifying drought conditions. We measured deuterium incorporation from 2H-labelled water into PLFAs (phospholipid fatty acids) to quantify growth, and into NLFAs (neutral lipid fatty acids) and PHB (poly-3-hydroxybutyrate) to assess storage compound synthesis.

Over the progression of drought, bacterial mass-specific growth rates decreased more strongly than fungal growth rates, with fungi showing greater relative resistance to drought. Mass-specific NLFA production rates increased over the sampling period in all treatments, suggesting a seasonal increase in storage compound production that was not affected by drought or future climate conditions. However, the ratio of NLFA production to PLFA-derived growth indicated a shift in carbon allocation toward storage NLFA synthesis under drought. In contrast, PHB production rates exhibited no clear seasonal pattern. Yet, normalized to bacterial growth, PHB synthesis also significantly increased under drought in July and August.

In summary, although overall microbial activity declines, drought shifts C allocation from replicative growth to storage compound synthesis, consistent with microbes responding to prolonged summer droughts. This change in allocation of acquired carbon emphasizes the need to quantify both replicative (cell division) and non-replicative (storage) growth to interpret microbial responses and ecosystem feedbacks.

How to cite: Stein, L., Canarini, A., Fuchslueger, L., Schmidt, H., Ritter, V. M., Bahn, M., Schaumberger, A., and Richter, A.: Linking cell division and storage: seasonally intensifying drought shifts microbial C allocation towards storage, with relative fungal resistance, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16997, https://doi.org/10.5194/egusphere-egu26-16997, 2026.

EGU26-17213 | Orals | SSS4.3

Microbes Persist: how soil moisture regimes shape the ecophysiology and C cycling of wild soil microbiomes 

Jennifer Pett-Ridge, Peter Chuckran, Linnea Hernandez, Petar Penev, Katerina Estera-Molina, Gareth Trubl, Jeff Kimbrel, Alexa Nicolas, Mary Firestone, Jillian Banfield, and Steven Blazewicz

Soil water availability is a key driver of microbial function and exerts influence on a variety of temporal scales—ranging from short-term pulse dynamics to long-term seasonal and annual precipitation patterns. Determining the impact of changing water dynamics on microbial growth and activity is crucial for assessing how changes in weather patterns may impact soil functionality. In Mediterranean grasslands, the first substantial annual rainfall after months of drought is a driver of substantial soil microbial activity and coincides with a pulse of CO2 emissions that can equal 10% of annual ecosystem productivity. To understand how altered precipitation regimes in semi-arid soils affect the microbial ecophysiological traits associated with soil carbon cycling, we use quantitative stable isotope probing (qSIP) to interrogate Who is where? and What are they doing? in wild soil communities collected during multiple points in the Mediterranean climate water-year. We also use multi-omics approaches, including metagenomics, metatranscriptomics, lipidomics, and metabolomics. Our qSIP results indicate only a fraction of the microbial community is actively growing at any moment or location; at the start of the growing season, the growing portion was 28%, 48% and 58% at wet, intermediate and dry sites. In a year-long study examining growth rates (measured with metagenomic qSIP) at three soil depths, we found distinct groups of actively growing organisms associated with seasonal changes in soil moisture. In a second study, we examined short-term pulse dynamics following the rewetting of dry soil. The first rain event after the dry season is a period of high growth and mortality where a large portion of annual carbon cycling occurs. To assess the impact of drought intensity on the rewetting response, soils were collected from two precipitation treatments in the field (50 or 100% mean annual precipitation) and rewet in a laboratory incubation. Wet-up triggered a rapid succession of bacterial populations, a large increase in the number of viruses (vOTUs), and strong indications of active viral lysis. We found that reduced precipitation influenced the composition of organic compounds in the soil—increasing tannin-like compounds and reducing the concentration of lipid-like compounds and changes the structure of trophic networks. Using metagenomics and 16S rRNA gene qSIP, we tracked growth and mortality following rewetting. We found that a history of limited moisture (50% precipitation) reduced both growth and mortality, demonstrating the interplay between annual/seasonal dynamics and short-term responses. Additionally, we found that growth after rewetting can be predicted from genomic traits such as genome size, codon bias, and GC content—indicating key features of fast-responding taxa to soil water pulse-dynamics. These results point to genome level traits that are predictive of microbial growth responses, and show how differences in legacy precipitation can influence microbial activities long after changes in soil moisture are no longer detectable.

How to cite: Pett-Ridge, J., Chuckran, P., Hernandez, L., Penev, P., Estera-Molina, K., Trubl, G., Kimbrel, J., Nicolas, A., Firestone, M., Banfield, J., and Blazewicz, S.: Microbes Persist: how soil moisture regimes shape the ecophysiology and C cycling of wild soil microbiomes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17213, https://doi.org/10.5194/egusphere-egu26-17213, 2026.

EGU26-17390 | ECS | Posters on site | SSS4.3

Recurrent drought imprints ecological memory on microbial carbon allocation 

Cornelia Rottensteiner, Valentin Waschulin, Dagmar Woebken, Michael Bahn, and Andreas Richter

Global warming increases the probability and frequency of droughts, with major consequences for soil carbon cycling. Soil microorganisms are particularly sensitive to drought because decreasing soil water content imposes osmotic stress and restricts the diffusion of substrates, enzymes, and metabolites. Previous studies have shown that drought reduced bacterial growth rates by more than half, whereas fungal and actinobacterial growth was comparatively resistant. However, in a future climate where droughts are projected to become more frequent, soils will be exposed to repeated drought events, and it remains unclear how drought history shapes microbial growth and carbon allocation during subsequent drought.

Here, we investigate how recurrent summer drought affects microbial growth, respiration, and storage compound synthesis in a unique long-term field experiment in an alpine grassland. Plots (n=4) have been exposed to 1, 3, 7, or 17 consecutive years of summer drought using rain-out shelters, with ambient plots as controls. We applied 2H-vapor-FAME-SIP (deuterium water-vapor stable isotope probing) to quantify microbial growth based on PLFAs (phospholipid fatty acids) and microbial carbon storage based on NLFA (neutral lipid fatty acid) and PHB (poly-3-hydroxybutyrate) production. Microbial respiration was determined by infrared gas analysis and microbial biomass by the chloroform-fumigation-extraction method.

Our results show that microbial respiration progressively declines with drought history. At peak drought, respiration was reduced by 44% after a single summer drought. This reduction intensified to 62%, 66%, and 75% after 3, 7, and 17 years of recurrent summer drought, respectively. This pattern indicates a strong drought legacy effect, consistent with the formation of ecological memory which increasingly constrains microbial activity. We will also present results from microbial growth and storage compound synthesis measurements and discuss how microbial carbon allocation patterns change with drought history.

By linking drought history to microbial growth, respiration, and storage compound synthesis, this study reveals how repeated drought alters carbon allocation of soil bacteria and fungi, with consequences for soil carbon persistence and carbon–climate feedbacks under global change.

This study is part of FWF COE7 “Microbiomes drive planetary health”.

How to cite: Rottensteiner, C., Waschulin, V., Woebken, D., Bahn, M., and Richter, A.: Recurrent drought imprints ecological memory on microbial carbon allocation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17390, https://doi.org/10.5194/egusphere-egu26-17390, 2026.

EGU26-18789 | ECS | Posters on site | SSS4.3

The role of bacteria in soil carbon dynamics of managed boreal forests 

Daniel Tajmel and Michael Gundale

Boreal forests are significant net carbon sinks and play an essential role in the global carbon cycle. However, such forests are often subject to management practices such as clear-cutting. After clear-cutting, most root-associated mycorrhizal fungi die along with their tree hosts, opening a niche for saprotrophic microorganisms, including soil bacteria. With the competition eliminated, soil bacterial activity is expected to increase. Conversely, as forests regrow, mycorrhizal fungi suppress soil saprotrophs, potentially decreasing soil organic matter decomposition.

In this study, we utilized two parallel chronosequences in Sweden, each consisting of 18 stands that varied in time since disturbance, representing forest rotational management and a natural reference, a wildfire chronosequence. In each forest stand, we trenched plots and removed vegetation to exclude mycorrhizal fungi. We then measured bacterial growth in soil samples across the chronosequences. We hypothesized that (1) bacterial growth would increase after clear-cutting and forest fire, then decrease as forests regrow due to suppression by mycorrhizal fungi; and (2) bacterial growth would be higher in trenched plots than in non-trenched plots at each forest stand due to the elimination of competition with mycorrhizal fungi.

Contrary to both hypotheses, bacterial growth was lowest following forest clear-cutting and wildfire. With forest regrowth, bacterial growth increased. Interestingly, following clear-cutting, bacterial growth peaked when forest productivity was highest (40–70 years post-clear-cutting). Trenching also decreased bacterial growth along both the rotational forest management and wildfire chronosequences. These unexpected results suggest that bacterial communities are negatively affected by plant removal, likely due to their strong dependence on readily available carbon from root exudates. 

How to cite: Tajmel, D. and Gundale, M.: The role of bacteria in soil carbon dynamics of managed boreal forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18789, https://doi.org/10.5194/egusphere-egu26-18789, 2026.

EGU26-19325 | ECS | Posters on site | SSS4.3

From short- to long-term warming: microbial metabolic responses control soil carbon and nitrogen losses 

Ana Leticia Zevenhuizen Martínez, Andreas Richter, Jinyuan Yu, Niel Verbrigghe, Ivan A. Janssens, Niki Leblans, Bjarni D. Sigurdsson, and Sara Marañón-Jiménez

Although high-latitude soils are undergoing significant warming, with potential consequences for soil carbon (C) and nitrogen (N) cycling, the way in which warming duration modulates microbial physiological responses and associated changes in soil C and N pools is not well understood. Here, we used a natural geothermal gradient ranging from +0 to +12.3 °C to assess the effects of short-term (1 year), medium-term (5 to 9 years), and long-term (>50 years) soil warming on microbial biomass C, microbial physiology (mass-specific respiration and growth), carbon use efficiency (CUE), and soil C and N pools.

Across all warming durations, microbial biomass C and CUE decreased with increasing temperature. Warming consistently accelerated microbial metabolic rates, with mass-specific respiration increasing more than mass-specific growth, thereby explaining the observed reduction in CUE. Warming also reduced plant litter biomass while increasing its N concentration, suggesting accelerated litter decomposition under enhanced microbial activity. The magnitude of these physiological and functional responses was attenuated after nine years of warming, indicating a partial acclimation of microbial metabolism to sustained warming. While cumulative soil C and N losses were not yet detectable after one year of warming, they became evident after several years of exposure. This delayed emergence of C and N losses suggests that microbial communities gradually adjusted to the new thermal conditions, leading to partial acclimation once substrate availability had been substantially altered.

These results suggest that warming-induced changes in soil C and N dynamics are governed by the interaction between intrinsic microbial temperature sensitivity and progressive substrate depletion, as mediated by their effects on microbial biomass and physiology. Our findings improve the understanding of how microbial physiological responses shape soil C and N losses over time in a warming climate.

How to cite: Zevenhuizen Martínez, A. L., Richter, A., Yu, J., Verbrigghe, N., Janssens, I. A., Leblans, N., Sigurdsson, B. D., and Marañón-Jiménez, S.: From short- to long-term warming: microbial metabolic responses control soil carbon and nitrogen losses, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19325, https://doi.org/10.5194/egusphere-egu26-19325, 2026.

EGU26-20019 | ECS | Posters on site | SSS4.3

The temperature dependence of the decomposition of soil organic matter is shaped by both microbial thermal traits and substrate quality 

Daniela Guasconi, Kodie Chontos Blockström, Albert Carles Brangarí, Honorine Dumontel, Lettice Hicks, Maja Siegenthaler, Rebecca Varney, Johannes Rousk, and Stefano Manzoni

The net effect of temperature variations on soil organic carbon (SOC) budgets depends on the balance of carbon (C) losses via respiration and C stabilization. Respiration increases monotonically with temperature, whereas the response of C stabilization to temperature is less clear. Microbial residues, formed via microbial growth, can get stabilized in soil and thus contribute to SOC accumulation. Here we test how the temperature dependence of the microbial SOC use for respiration (proxy for C losses) and growth (proxy for C stabilization) varies across climatic, edaphic, and substrate quality gradients, and how it responds to experimental warming. We hypothesized that the temperature dependence of microbial decomposition of organic matter is primarily governed by two factors: (i) the thermal traits of microbial communities, and (ii) SOC quality. To test these hypotheses, we collated more than 200 paired growth and respiration thermal response curves from over 20 published studies spanning a wide range of climates. Thermal traits of microbial communities (eg. minimal temperature, Tmin) were derived from microbial growth response curves, and temperature sensitivity was estimated as the ratio of microbial uptake rates at two reference temperatures offset by 10°C (Q10). Environmental temperatures at sampling sites were used as a proxy for climatic forcing, and C uptake per unit SOC (i.e., microbial assimilability) at a reference temperature as a proxy of SOC quality. Preliminary results indicate that warmer climates select for warm-shifted microbial thermal traits (i.e., higher Tmin values), and that temperature sensitivities are higher for lower-quality SOC. In addition, experimental warming alters microbial thermal responses in ways consistent with thermal adaptation. These findings allow us to describe the relative contributions of microbial thermal traits and of substrate quality in shaping the temperature dependence of SOC decomposition, thereby improving predictions of soil carbon fluxes under future climate scenarios.

How to cite: Guasconi, D., Chontos Blockström, K., Brangarí, A. C., Dumontel, H., Hicks, L., Siegenthaler, M., Varney, R., Rousk, J., and Manzoni, S.: The temperature dependence of the decomposition of soil organic matter is shaped by both microbial thermal traits and substrate quality, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20019, https://doi.org/10.5194/egusphere-egu26-20019, 2026.

EGU26-20087 | ECS | Orals | SSS4.3

Warming enhances nitrogen priming of N20 emissions in subarctic soils under high nitrogen availability 

Jinyuan Yu, Ana Leticia Zevenhuizen, Martina Gonzalez Mateu, Stefania Mattana, Andreas Richter, and Sara Marañón-Jiménez

High-latitude soils store a disproportionate share of global soil carbon (C)  and nitrogen (N) and are expected to play a critical role in future greenhouse gas feedbacks to climate warming. Despite this importance, the mechanisms controlling N losses from subarctic soils under warming, particularly nitrous oxide (N₂O) emissions, remain poorly constrained, largely due to strong interactions between temperature and microbial resource availability. Here, we assessed how warming interacts with C and N availability to regulate microbial N₂O production and N priming in a subarctic grassland ecosystem.

Soils were collected from a subarctic grassland exposed to a natural geothermal warming gradient for two years and subsequently incubated in the laboratory at the same in situ temperatures (ambient, +2 °C, and +6 °C). We applied four substrate addition treatments (water control, glucose, ammonium nitrate, and combined glucose + ammonium nitrate) using highly 13C and 15N-enriched substrates, allowing isotopic partitioning of N2O sources and quantification of N priming.

Warming increased total N₂O emissions across treatments, but the magnitude and underlying mechanisms strongly depended on substrate availability. Nitrogen addition alone caused substantial accumulation of NH₄⁺ and NO₃⁻, stimulated N₂O emissions, and enhanced N₂O derived from native soil N, indicating strong positive N priming. This priming effect intensified with increasing temperature, consistent with accelerated microbial N turnover, and increased denitrification and nitrification rates under elevated inorganic N availability. In contrast, C addition reduced inorganic N accumulation and strongly suppressed N₂O emissions, indicating enhanced microbial N immobilization. Combined C and N addition reduced NH₄⁺ accumulation but not NO₃⁻ accumulation, moderated the temperature sensitivity of N₂O emissions, and shifted N₂O production toward substrate-derived N, suggesting tighter microbial coupling of C and N metabolism under balanced resource supply, reducing reliance on native soil N pools even under warming.

Together, these results show that warming-induced N₂O emissions from subarctic soils are highly contingent on microbial resource balance. Carbon availability can constrain N losses under warming, whereas excess N amplifies priming-driven emissions, with important implications for predicting high-latitude greenhouse gas feedbacks and soil N losses under climate change.

How to cite: Yu, J., Leticia Zevenhuizen, A., Gonzalez Mateu, M., Mattana, S., Richter, A., and Marañón-Jiménez, S.: Warming enhances nitrogen priming of N20 emissions in subarctic soils under high nitrogen availability, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20087, https://doi.org/10.5194/egusphere-egu26-20087, 2026.

EGU26-20417 | ECS | Orals | SSS4.3

Microbial mechanisms controlling methane-temperature hysteresis in wetlands. 

Yngvild Bjørdal, Kathrin Marina Bender, Victoria Sophie Martin, Liabo Motleleng, Alena Didriksen, Bente Lindgård, Eva Marie Breines, Laureen Sarah Ahlers, Oliver Schmidt, Torben Røjle Christensen, Maria Scheel, Tilman Schmider, Andreas Richter, Andrea Söllinger, and Alexander Tøsdal Tveit

Methane (CH4)-temperature hysteresis, i.e., significantly higher CH₄ emissions in autumn compared to spring at equivalent temperatures, have been observed in wetlands globally. However, the biological basis for these seasonal changes in the effect of temperature on wetland CH₄ emissions remain unexplained.

Peat soil from four Arctic and sub-Arctic sites: Svalbard, Northern Norway, Arctic Canada, and Greenland, were collected for investigations of the mechanisms behind CH4-temperature hysteresis. In the laboratory, under anoxic condition, the peat soils were exposed to temperature changes in weekly 2 °C increments, from 2 °C to 10 °C and back to 2 °C, simulating an Arctic spring to autumn transition. Methane accumulation rates, methanogen substrate concentrations, total microbial and archaeal RNA and DNA content, and community composition and size were monitored throughout the experiments.

Three of the four examined soils (Svalbard, Northern Norway and Greenland) expressed significantly higher CH4 production rates during cooling compared to warming. This observation of CH4-temperature hysteresis under anoxic condition demonstrate that CH4-temperature hysteresis can result from anaerobic processes, while experiment replication demonstrated that CH4-temperature hysteresis, or the lack of it, were reproducible for the respective peatlands.

The timing and extent of accumulation and depletion of methanogenic substrates and the enhanced methane production rates during cooling in the three CH4 hysteresis-positive soils suggested that the methanogenic community itself, triggered by high substrate availability and a sufficient maximum temperature, is the major driver of CH4-temperature hysteresis. Furthermore, the observation that both soils dominated by acetoclastic (Svalbard and Greenland) and hydrogenotrophic (Northern Norway) methanogens can express CH4-temperature hysteresis, demonstrate that hysteresis is not restricted to one methanogenic pathway.

As only minor changes in the methanogenic community composition were observed during the experiments, CH4-temperature hysteresis was indicated to result from physiological responses of the existing methanogenic community. In the Svalbard soil, increased methanogen population sizes, as indicated by qPCR, suggested faster methanogen growth rates during cooling, potentially explaining hysteresis, but this effect was not observed in the remaining two hysteresis positive soils. Thus, other physiological rate-increasing mechanisms are also required to explain hysteresis. Correspondingly, increased expression of genes for rate-limiting enzymes in methanogenesis, as a response to temperature and substrate increase, were demonstrated in a separate heating experiment (2 °C to 10 °C) done on Svalbard peat soil.

We propose the following CH4-temperature hysteresis mechanism: Temperature induced imbalances between fermentation and methanogenesis at low temperatures and during heating leads to high methanogen substrate concentrations. The subsequent combination of excess substrate and reaching sufficiently high temperatures promote methanogen activity through faster growth and the buildup of rate-limiting enzyme pools for methanogenesis in the form of more new cells or larger enzyme stocks per cell. This expansion of the methane production bottleneck allows enhanced CH₄ production rates during subsequent cooling, until the depletion of substrate pools.

How to cite: Bjørdal, Y., Bender, K. M., Martin, V. S., Motleleng, L., Didriksen, A., Lindgård, B., Breines, E. M., Ahlers, L. S., Schmidt, O., Røjle Christensen, T., Scheel, M., Schmider, T., Richter, A., Söllinger, A., and Tøsdal Tveit, A.: Microbial mechanisms controlling methane-temperature hysteresis in wetlands., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20417, https://doi.org/10.5194/egusphere-egu26-20417, 2026.

EGU26-21005 | ECS | Posters on site | SSS4.3

Nutrient Supply Shapes Microbial Assembly in Dryland Biocrusts: Taxon-Specific Responses and Network Reorganization 

Lina Zhao, Ning Chen, Bettina Weber, Shaobin Gu, and Xinrong Li

Biological soil crusts (biocrusts) cover ~30% of global drylands and regulate biogeochemical cycles through microbial metabolic activities. Although nutrient scarcity profoundly influences biocrust microbial communities, the general principles governing their nutrient response dynamics remain unclear. Here, we employed controlled microcosms to investigate how differential nutrient supply reshaped the community structure and interspecies interactions of both biocrust bacterial and fungal assemblages. Our findings revealed that increased nutrient supply drove a shift from K- to r-strategists in bacterial communities, while fungal assemblages exhibited distinct response patterns among abundant, intermediate, and rare taxa. Network analysis demonstrated that nutrient supply increased node number, link number, average degree, and negative correlations, indicating intensified interactions in both bacterial and fungal communities. Keystone taxa analysis identified three oligotrophic bacteria, three copiotrophic bacteria, and two fungal hub taxa consistently present across nutrient levels. Furthermore, both bacterial and fungal community structures, as well as their interaction networks, were strongly correlated with soil nutrient availability, particularly total phosphorus, available nitrogen, and available potassium. This study establishes a unified mechanistic framework for nutrient-driven microbial assembly in drylands, highlighting taxon-specific responses and interactions. The findings provide actionable strategies for ecological restoration through optimized nutrient management and targeted manipulation of keystone microbial taxa.

How to cite: Zhao, L., Chen, N., Weber, B., Gu, S., and Li, X.: Nutrient Supply Shapes Microbial Assembly in Dryland Biocrusts: Taxon-Specific Responses and Network Reorganization, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21005, https://doi.org/10.5194/egusphere-egu26-21005, 2026.

EGU26-3355 | ECS | Posters on site | SSS4.4

A Global Meta-analysis on the Impact of Human Activities on Soil Microbial Diversity and Carbon Cycling 

Jose Mathew, Shamik Roy, and Sumanta Bagchi

Changes to the structure or functioning of the soil microbial community could alter the way it metabolises aboveground organic inputs, with significant potential implications for plant nutrient availability, the carbon cycle, and other aspects of soil health. Human activities have been shown to alter microbial diversity and activity in various study sites. However, different ecosystems respond differently to the same disturbance, so we need to identify the globally common patterns.

We perform a meta-analysis of the effects of five human activities – land use change, ecosystem restoration, pollution, pesticide use and fertiliser addition – on microbial diversity (measured as Shannon index of the catabolic diversity) and activity (measured as soil basal respiration). From an initial 693 records from Web of Science, we short-list 177 studies covering 924 datapoints across all six inhabited continents. For each of the five human activities, we identify treatment-control pairs from this dataset, and calculate their log response ratios (‘lRR’, the logarithm of the ratio of the treatment diversity or activity to the control value). From these lRRs, we calculate an overall effect size and confidence interval under a robust variance estimation meta-regression model. We also check for publication bias and any changes in reported effect size over time.

Our dataset did not significantly differ from a random sampling of land points on the earth along various climatic and edaphic axes. Median catabolic diversity in our dataset was 2.57 (with 95% of readings in the range 0.90 - 4.43) and median respiration activity was 1.63 μg CO2 g−1 h−1 (with 95% of readings between 0.12 and 150). Among human activities, fertiliser addition and ecosystem restoration increased diversity (by +12.9% and +8.4% respectively) and activity (+38.9% and +73.5%), while land use change reduced diversity (by 1.5%) and activity (by 21.0%). The effects of pollution and pesticide use were not statistically significant. We found no significant effect of publication bias, and no consistent trends in reported effect size over time.

Greater diversity generally improves ecosystem efficiency, so we expected an increase in diversity to lead to greater carbon assimilation by microbes and a decrease in respiration activity. However, we found human activities to cause changes in the same direction for both diversity and activity. Also, the increase in respiration activity in response to ecosystem restoration is almost three times the reduction in activity due to land use change, even after accounting for the different baselines. This suggests that restored ecosystems might use carbon less efficiently compared to intact ones.

Our results show that land use intensity has a negative impact on soil microbial diversity and activity, whereas nutrient addition has a positive effect. Soil microbes mediate how much carbon and other nutrients remain in soil and how much is lost to the atmosphere or other pools. Therefore, learning how humans alter their community structure and functioning will help in better understanding current global problems like soil nutrient deficiencies and climate change.

How to cite: Mathew, J., Roy, S., and Bagchi, S.: A Global Meta-analysis on the Impact of Human Activities on Soil Microbial Diversity and Carbon Cycling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3355, https://doi.org/10.5194/egusphere-egu26-3355, 2026.

The soil eco-enzymatic stoichiometry approach has been widely used in terrestrial ecosystems for decades to assess microbial carbon (C), nitrogen (N), and phosphorus (P) limitation based on the ratios of five arbitrary-selected enzyme activities. As numerous enzymes are involved in soil C, N, and P cycling, it remains uncertain whether the stoichiometric approach will be valid if it is based on different set of eco-enzymes.

To address this issue, soils were collected from six long-term field experiments (12–123 years in duration) at Bad Lauchstädt, central Germany. These experiments encompass a wide range of soil organic matter contents (1.4–6.9%) and include contrasting field treatments such as fertilization regimes, land-use intensity, and fallow periods. In addition to the five basic enzymes (β-glucosidase, cellobiohydrolase, N-acetyl-glucoseaminidase, leucine aminopeptidase, and acid phosphatase), lipase activity was measured and incorporated into the stoichiometric analysis.

The additional C-cycling enzyme (lipase) increased vector length by 12–90% across all experiments and treatments, in numerous cases increasing a threshold value 0.6 and indicating microbial C limitation, which was not evident by basic set of enzymes. Vector angles showed variable responses to lipase addition. For example, vector angles increased by 13–41% under natural succession and excessive manure application, suggesting reduced N limitation, whereas no effect of lipase addition was observed on vector angles under poor soil conditions (no fertilization and 36 years fallow). However, soil microbial biomass C:N ratios ranged from 20 to 45 under poor soil conditions, indicating strong microbial N limitation, which contradicts the stoichiometry results.

Overall, our findings highlight the considerable uncertainty and potential biases of the enzyme stoichiometry approach and emphasize the need to identify more reliable ecological indicators of microbial nutrient limitation.

How to cite: Wang, S. and Blagodatskaya, E.: Validity of eco-enzymatic stoichiometry to reveal microbial C and nutrients limitation: Evidence from six long-term field experiments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5884, https://doi.org/10.5194/egusphere-egu26-5884, 2026.

Rapid urbanization has substantially changed the soil environment, causing changes in the composition and distribution of soil pathogens. However, critical knowledge gaps persist regarding soil human pathogens in urban regions which are characterized by intensive human-environment interactions. This issue has become urgent amid growing public attention on environmental health and public health events. Utilizing field monitoring, high-throughput sequencing, and geospatial analysis, this study provides the first systematic assessment of human-associated soil pathogens distribution across a typical urban agglomeration in north China. There were 16 major human-pathogenic species identified in soils, with Stenotrophomonas predominating (detected in 57.00% of samples). Significant differences were observed in both abundance and species of soil human pathogens as well as network structure from urban to rural areas, and peri-urban areas can be identified as contamination hotspots. Results of showed that socioeconomic factors accounted for 34.5% of soil human pathogens distribution variability, particularly facility agriculture distribution and cropland fragmentation. Furthermore, we developed an innovation risk assessment framework with considering 12 indicators encompassing abundance and species number of soil human pathogens, network structure, and human exposure parameters to quantify urban-rural exposure risks of human pathogens. The evaluated results demonstrated elevated risks in peri-urban areas, with children being more susceptible than adults to threats posed by soil human pathogens in urban areas. This study provides an innovative approach for quantifying risk of soil human pathogens and scientific guidance for preventing soil human pathogens contamination and enhancing soil health in rapid urbanization areas.

How to cite: Li, M.: Soil human pathogens in rapid urbanization areas: occurrence, distribution, and potential risk, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6026, https://doi.org/10.5194/egusphere-egu26-6026, 2026.

EGU26-6480 | ECS | Posters on site | SSS4.4

Active microbiome succession in the rhizosphere of growing plants 

He Zhang, Qicheng Xu, Yang Ruan, Qiwei Huang, Shiwei Guo, Yakov Kuzyakov, Qirong Shen, and Ning Ling

Plant root exudates dynamically shape rhizosphere microbiomes, yet how they drive the succession of active microbial communities across development remains unclear.  Through a novel integration of quantitative stable isotope probing (qSIP), metagenomics and metabolomics, we established a direct link between dynamic root exudate profiles and the succession of active rhizosphere microbiota in watermelon rhizosphere. The results showed that microbial activity in the rhizosphere increased progressively from the seedling to the flowering stage. The microbial codon usage bias increased, with genomes becoming progressively streamlined, suggesting rhizosphere selection toward a microbial community with enhanced growth potential but lower functional redundancy. From seedling to flowering, the metabolic network of rhizosphere microbes utilising root exudates became simpler. Dominant active taxa provided persistent core functions for the plant (e.g., root development and pathogen suppression), and specifically produced siderophores during flowering, thus stabilising rhizosphere ecosystem functioning. Overall, these results reveal how plants orchestrate microbial succession through exudate chemistry, optimising rhizosphere function across development.

How to cite: Zhang, H., Xu, Q., Ruan, Y., Huang, Q., Guo, S., Kuzyakov, Y., Shen, Q., and Ling, N.: Active microbiome succession in the rhizosphere of growing plants, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6480, https://doi.org/10.5194/egusphere-egu26-6480, 2026.

EGU26-6628 | ECS | Posters on site | SSS4.4

Microbial lifestyles adapted to distinct soil fertility  

Ling Li, Chao Xue, Yue Wang, Mingtao Liu, Junjie Guo, Manqiang Liu, and Ning Ling

Microbial life-history strategies determine how microbial communities prioritize resource allocation toward growth, resource acquisition, or stress tolerance. However, how soil microbial communities adjust their life-history strategies in response to distinct soil fertility remains poorly understood. In this study, metatranscriptomic sequencing was performed to investigate shifts in microbial life-history strategies in soils with different fertility, developed by 37 year diverse fertilization regimes: no fertilization, mineral fertilization, manure fertilization, and combined mineral/manure fertilization. Organic amendments increased the transcript abundance of genes (normalized by transcripts per million [TPM]) related to biogeochemical cycles by 13 %–246 % relative to unfertilized soils. We quantified the relative transcript abundance of each functional pathway within individual biogeochemical cycles to compare transcriptional allocation across treatments. Within each cycle, organic amendments increased the relative transcript abundance of genes involved in organic matter degradation by 9 %–12 % and dissimilatory nitrate reduction by 24 %–37 % relative to unfertilized soils. Although TPM-normalized transcript abundance of growth-associated genes increased 1.8- to 2.2-fold in fertilized soils, their relative abundance among all life-history transcripts remained stable at approximately 77 %. Organic inputs altered microbial resource allocation by favoring resource acquisition over stress tolerance. This shift was associated with increased nutrient availability and soil pH neutralization. Taxonomic analysis revealed growth yield as the dominant strategy across most phyla. Within each strategy, Desulfobacterota showed a strong association with growth yield, Verrucomicrobiota with resource acquisition, and Pseudomonadota and Actinomycetota with stress tolerance. Notably, while strategy preferences were broadly conserved across phyla, fertilization modulated the intensity of strategy-specific gene expression, indicating functional plasticity of microbial communities in response to environmental change. Collectively, our findings suggest that differences in soil fertility resulting from long-term fertilization alter microbial resource allocation among life-history strategies by changing the functional expression of transcripts assigned to different taxa, reflecting the functional plasticity of soil microbial communities under intensified agriculture.

How to cite: Li, L., Xue, C., Wang, Y., Liu, M., Guo, J., Liu, M., and Ling, N.: Microbial lifestyles adapted to distinct soil fertility , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6628, https://doi.org/10.5194/egusphere-egu26-6628, 2026.

EGU26-9634 | ECS | Orals | SSS4.4

Degree of soil disturbance affects success of microbiome restoration by artificial humic substances: a plant health perspective 

Morten Streblow, Samuel Bickel, Anja Lamprecht, Wisnu Adi Wicaksono, Svitlana Filoneko, Markus Antonietti, and Gabriele Berg

Soils are crucial for biogeochemical elemental cycles and, on a more anthropocentric note, for agriculture. The ongoing degradation of agricultural soils, including horticultural substrates, has large scale implications for crops, humans and the surrounding ecosystems (OneHealth). One critical aspect of soil degradation is the subsequent loss of functional microbial diversity, which is essential for soil and plant health. Thus, the maintenance and manipulation of those microbial players is a key interest of sustainable farming and the European Union (The Mission 'A Soil Deal for Europe'; SPIN-FERT: Grant agreement ID: 101157265, DOI: https://doi.org/10.3030/101157265).

To understand the role of artificial humic substances on plant health, plant performance and soil microbiomes we grew tomato seedlings along a soil disturbance gradient. Each substrate was treated with artificial humic substance and/or Rhizoctonia solani AG-4, a fungal soilborne plant pathogen, to infer potential mechanisms of plant growth enhancement and disease resistance. We hypothesize that humic substances increase soil microbial diversity and disease resistance of tomato seedlings.

Plant height and microbial diversity were observed to be highest in undisturbed soil and were further increased by the addition of humic substance and decreased by the presence of R. solani. Disease incidence was noticeably lower under humic substance amendment except for the most disturbed soil. Both treatments caused the microbial communities of the soil and rhizosphere to shift, with β-diversity clustering the most complete and distinct after the disturbance recovery and revealing several plant and soil health associated taxa to be enriched through humic substance addition.

By altering the soil microbiome composition, the plant is offered a wider selection of microorganisms to recruit from while the fungal pathogen is met with a more diverse battery of potential antagonists. Our findings may contribute to more effective manipulation of the microbial aspects of agriculture to promote and improve healthy produce.

How to cite: Streblow, M., Bickel, S., Lamprecht, A., Wicaksono, W. A., Filoneko, S., Antonietti, M., and Berg, G.: Degree of soil disturbance affects success of microbiome restoration by artificial humic substances: a plant health perspective, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9634, https://doi.org/10.5194/egusphere-egu26-9634, 2026.

Soil health is essential for crop production and plays a crucial role in agricultural sustainability by supporting vital ecosystem and societal services. The manipulation of beneficial microbes is an emerging strategy for improving soil quality in agroecosystems. However, little is known about whether microbes enriched through organic fertilization can promote plant growth and soil health. This study employed amplicon sequencing and shotgun metagenomics to characterize the fertilizer-induced shifts in soil microbial communities and metabolism-related genes, and their correlations with soil health index. Core organic fertilizer-induced microbial taxa were then isolated and their growth-promoting and soil health-improving effects were experimentally verified. Our results demonstrated that the continuous application of organic fertilizer with higher nitrogen input enhanced soil health index by 119%. Random forest analyses revealed that the abundances of functional genes involved in nitrogen assimilation, especially nasB, gdh, and nirA were important predictors of soil health index. More importantly, functional genes involved in nitrogen cycling explained more variance (63.78%) in soil health index than phosphorus (38.73%) and carbon (32.33%) cycling. Furthermore, inoculation with synthetic communities (SynCom) derived from organic fertilization, which consisted of five Pseudomonas spp. and one Microbacterium sp., enhanced the soil health index by 36.1% compared to the non-inoculated control and significantly improved plant growth, including height, shoot dry weight, and root dry weight. These findings show that organic fertilization-induced core species enhance soil health and plant performance, laying the foundation for leveraging the beneficial microbes for sustainable agricultural practices.

How to cite: Shu, D., Sun, X., and Wei, G.: Core soil microbiota mediated by long-term organic fertilization enhance soil health and plant productivity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10418, https://doi.org/10.5194/egusphere-egu26-10418, 2026.

EGU26-12384 | Orals | SSS4.4

Soil Health in Europe: Policy perspectives  

Diana Vieira, Panos Panagos, Nils Broothaerts, and Carmen Sánchez-García

In Europe soil health is facing emerging challenges that require innovative solutions and policy interventions. We acknowledge that 62% of the European Union (EU) soils are not in healthy condition, while we face serious challenges such as climate change, food security, biodiversity loss, and socio-economic pressures. The severity of these issues is evident in the fact that soil erosion is unsustainable for around ¼ of the EU territory, carbon stocks in soils are declining, nutrients are depleting, and emerging contaminants can pose a serious threat to soil and human health. The costs of soil degradation in the EU may reach up to €70 billion per year, highlighting the urgent need for action. 

To address these challenges, the EU has put in place many policies for agro-environmental protection since 2000, including soil protection. The European Green Deal, launched in 2020, has set an ambitious roadmap to make the EU the first carbon-neutral continent with a modern, competitive, and resource-efficient economy. As part of the Green Deal, the European Commission (EC) has put soil protection in a high position on the EU policy agenda, recognizing that healthy soils are essential to achieve climate neutrality, zero pollution, sustainable food provision, and a resilient environment. This increased focus on soil health has led to the development of new policies and initiatives, such as the Soil Monitoring and Resilience Directive, which aims to establish a common framework for monitoring and assessing soil health in the EU. 

The Soil Monitoring and Resilience Directive, in place since December 2025, lays down measures for monitoring and assessing soil health, managing soils sustainably, and restoring contaminated sites. Furthermore, the Mission Soil, which aims to set up 100 Living Labs to promote sustainable land and soil management in urban and rural areas, will play a crucial role in achieving the objective of healthy soils by 2050. With an estimated investment of nearly €800 million until 2028, funded research projects under the Mission Soil are expected to reverse soil degradation through action on the ground, underpinned by the development and monitoring of a set of indicators. 

In addition to these initiatives, the Carbon Removals and Carbon Farming (CRCF) regulation is the first EU volunteer framework for certifying carbon removals and carbon farming. This regulation will monitor, report, and verify carbon removals, soil emission reduction, and biodiversity benefits, providing a new opportunity for farmers and other stakeholders to contribute to climate change mitigation. The carbon farming framework can also serve as an interesting business model for additional income to farmers, while involving diverse actors such as certification bodies, auditors, tech industry, and creating new jobs. By promoting sustainable land use practices, the CRCF regulation can help sequester carbon, reduce greenhouse gas emissions, and improve soil health. 

This presentation will discuss these EU soil policies in detail, with a specific focus on the role and activities of the EU Soil Observatory (EUSO). Overall, the presentation will show how the EU soil policies and the EUSO are advancing the data, knowledge and tools on soils and leading the transition towards healthy soils in the EU. 

How to cite: Vieira, D., Panagos, P., Broothaerts, N., and Sánchez-García, C.: Soil Health in Europe: Policy perspectives , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12384, https://doi.org/10.5194/egusphere-egu26-12384, 2026.

EGU26-12434 | Posters on site | SSS4.4

Co-creation of soil health solutions through digital marketing tools: enhancing stakeholder engagement in the MultiSoil project 

José A. González-Pérez, Félix González-Peñaloza, Daniel Cuella-Guerra, Olaya García-Ruíz, José Mª de la Rosa, and The MultiSoil Team

Soil degradation in agricultural systems is a major environmental and production challenge in European agriculture, requiring both technical innovations and participatory approaches that support real-world adoption and lasting impact (Bouma, 2014; Montanarella et al., 2016). The MultiSoil (Horizon Europe, Mission “A Soil Deal for Europe,” G.A. 101218951; https://www.multisoil.eu/) employs a multi-actor approach and a co-creation framework to develop, test, and demonstrate agricultural practices that enhance soil functional biodiversity and crop health (Leclère et al., 2023).

This contribution outlines the MultiSoil project's stakeholder engagement and co-creation strategy, highlighting the role of digital marketing tools in enhancing participation and interaction. Integrating face-to-face participatory activities—such as farmer-led workshops and round-table discussions—with targeted digital outreach can improve inclusiveness, accessibility, and continuity of engagement in sustainability-oriented research (Reed et al., 2018; Ingram et al., 2020).

We describe activities conducted by the Institute of Natural Resources and Agrobiology of Seville (IRNAS-CSIC) in Mediterranean agricultural systems, in which soil management practices, including organic amendments, biochar application, cover crops, and biodiversity-based management, are being implemented. These actions are supported by digital dissemination campaigns, tailored communication materials, perception surveys, and participatory dynamics shared through professional networks and sector-specific digital channels. This combined approach has increased both the number and diversity of participating stakeholders—particularly farmers—enhancing the representativeness of the co-creation process (Eitzinger et al., 2019).

Digital marketing tools are not used as one-way dissemination channels but as active co-creation instruments that support trust-building, mutual learning, and the emergence of communities of practice focused on soil health (Wenger-Trayner & Wenger-Trayner, 2020). The observed increase in stakeholder participation enhances the quality of social feedback, strengthens ownership of proposed practices, and improves the potential for scaling and replication.

Overall, this work demonstrates how integrating digital engagement tools can reinforce Living Lab and multi-actor approaches in soil science, helping bridge the gap between research and society and supporting the transition towards more resilient and sustainable agricultural systems (European Commission, 2021).

Acknowledgements
MultiSoil project (Multifunctional Soil Biodiversity: Unlocking Potential for Healthy Cropping Systems), EU Horizon Europe programme (GA No. 101218951). The local stakeholders involved in the co-creation activities are also acknowledged.

References
Bouma, J. (2014). J Plant Nutr Soil Sci. 177: 111–120.
Eitzinger, A., et al. (2019). Comput. Electron. Agric, 158: 109–121.
European Commission. (2021). EU Mission: A Soil Deal for Europe – Implementation Plan.
Ingram, J., et al. (2020). J. Rural Stud. 78: 65–77.
Leclère, M., et al. (2023). Agron. Sustain. Dev. 43: 13.
Montanarella, L., et al. (2016). The world’s soils are under threat. SOIL, 2: 79–82.
Reed, M. S., et al. (2018). A theory of participation: What makes stakeholder and public engagement in environmental management work? Restor. Ecol. 26: S7–S17.

How to cite: González-Pérez, J. A., González-Peñaloza, F., Cuella-Guerra, D., García-Ruíz, O., de la Rosa, J. M., and Team, T. M.: Co-creation of soil health solutions through digital marketing tools: enhancing stakeholder engagement in the MultiSoil project, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12434, https://doi.org/10.5194/egusphere-egu26-12434, 2026.

EGU26-13105 | ECS | Posters on site | SSS4.4

How Drought Influences Forest Soil Organic Carbon 

Mehdi H. Afshar, David A. Robinson, Panos Panagos, and Nima Shokri

Soil organic carbon (SOC) plays a central role in regulating soil fertility, water retention, and quantifying risks of soil degradation (Afshar et al., 2025). While climate variability is increasingly recognized as a major pressure on SOC, large-scale assessments of drought impacts on forest soils remain limited. Recent studies emphasize that drought effects on SOC are highly context dependent, shaped by soil carbon status, climate regime, and interacting environmental controls, calling for flexible modeling frameworks that can capture nonlinear responses (Hassani et al., 2024; Shokri et al., 2025).

In this study, we analyze SOC change between 2009 and 2018 across European forest soils using generalized additive models (GAMs) applied to harmonized LUCAS topsoil observations. SOC change is modelled as a nonlinear function of initial SOC, drought characteristics derived from the Standardized Precipitation Evapotranspiration Index (SPEI), climate, and soil properties.

GAM results show that drought severity exerts a significant, nonlinear impact on SOC change (p < 0.001), strongly modulated by initial SOC and climatic parameters. On average, under severe drought conditions, SOC declines by ~32% relative to mild drought conditions. Overall, the results demonstrate that drought impacts on forest SOC are state-dependent and spatially heterogeneous, governed by the combined influence of drought severity, initial carbon stocks, and regional climate conditions.

References:

  • Afshar, M. H., Hassani, A., Aminzadeh, M., Borrelli, P., Panagos, P., Robinson, D. A., Or, D., & Shokri, N. (2025). Spatial and temporal assessment of soil degradation risk in Europe. Scientific reports, 15, 44636. https://doi.org/10.1038/s41598-025-33318-7
  • Hassani, A., Smith, P., & Shokri, N. (2024). Negative correlation between soil salinity and soil organic carbon variability. Proceedings of the National Academy of Sciences, 121(18), e2317332121. https://doi.org/10.1073/pnas.2317332121
  • Shokri, N., Robinson, D. A., Afshar, et al. (2025). Rethinking global soil degradation: Drivers, impacts, and solutions. Reviews of geophysics, 63(4), e2025RG000883. https://doi.org/10.1029/2025RG000883

How to cite: H. Afshar, M., Robinson, D. A., Panagos, P., and Shokri, N.: How Drought Influences Forest Soil Organic Carbon, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13105, https://doi.org/10.5194/egusphere-egu26-13105, 2026.

EGU26-13697 | ECS | Orals | SSS4.4

Soil additives ameliorate crop´s phosphorus nutrition and the rhizosphere microbiome during drought  

Md Aktarul Islam, Christian Lorenzen, Hamed Kashi, Yijie Shi, Amit Sagervanshi, Karl-Hermann Mühling, Sandra Spielvogel, and Sebastian Loeppmann

Climate models predict that the frequency, magnitude, spatial extent and duration of extreme climate events such as drought will further increase throughout Europe in the 21st century. Drought not only affects water availability but also alters the rhizosphere microbiome and its functions, consequently hampering soil nutrient cycling and crop nutrition. One measure to circumvent drought conditions in soil, at least during short to intermediate dry periods, is the application of additives to enhance P availability by improving diffusion conditions in the rhizosphere. However, studies focusing on the effect of soil additives on crop nutrition and functional capabilities of the rhizosphere microbiome during drought are scarce. We conducted a rhizotron experiment planted with spring wheat and induced 11 days of drought to investigate the effect of novel soil additives such as pelleted biochar-lignocellulose hydrogels including activators and nutrient loadings versus pyrolyzed biochar on wheat´s phosphorus (P) nutrition. Besides analyses of macro- and micro-nutrients in root and shoot as well as wheat’s active gene transporters (PM ATPase, ALMT, MATE, PHT, PHO1, SWEET), we determined the co-localization of enzymatic properties (Vmax, Km), pH, and microbial functional gene abundance in rhizosphere hotspots.

The area of rhizosphere phosphomonoesterases hotspots reduced to 1% during drought without additives (non-drought condition 4%). Biochar-hydrogel pellets amended to soil shifted microbial community composition, increased their diversity, and enhanced functional gene abundances of the microbiome in rhizosphere hotspots under drought conditions. The P content in roots was up to 3-fold higher with pellets than without. Higher P mobilization was determined in soil amended with pellets rather than solely biochar or control which was in line with a doubling in abundance of phosphomonoesterase genes. Consequently, the addition of the pellets increased P availability in the rhizosphere, potentially based on improved diffusion processes. Wheat´s PHT1.6 transporter in the shoots, which are crucial for P uptake and remobilization, was 9-fold higher in pellet amended soil than in control. Moreover, there was a 3-fold increase in the abundance of the PHO1 transporter in roots, which facilitates P transport from roots to shoots. The root: shoot ratio was 3-fold lower when the pellets were added implying less investment in root development across the wheat growth period. Wheat´s active PM ATPase and SWEET gene expression in shoots was 2-fold higher with added pellets than in control during drought, highlighting the potential of H+-ATPase gene regulation in shoots as a strategy to increase the proton motive force and thus co-transport with phosphate.

The results suggest an ameliorated functional redundancy of the microbiome mitigating drought stress and improving soil health compared to single biochar application. Next the application of ecologically uncritical soil additives such as pelleted biodegradable lignocellulose hydrogels with pyrolyzed biochar to mitigate drought stress in crop production is going to be investigated in field trails.

How to cite: Islam, M. A., Lorenzen, C., Kashi, H., Shi, Y., Sagervanshi, A., Mühling, K.-H., Spielvogel, S., and Loeppmann, S.: Soil additives ameliorate crop´s phosphorus nutrition and the rhizosphere microbiome during drought , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13697, https://doi.org/10.5194/egusphere-egu26-13697, 2026.

Soil salinization-alkalization severely undermines soil multifunctionality (SMF) by disrupting essential biogeochemical and ecological processes. Remediating saline-alkali soils is therefore critical for enhancing SMF, safeguarding food security, and improving carbon storage. Although previous studies have applied meta-analysis to evaluate soil remediation strategies, the design of location-specific agricultural practices for rehabilitating saline-alkali lands and optimizing their carbon sequestration potential remains underexplored, largely due to China’s pronounced spatial heterogeneity. To address these gaps, this study presents the first integration of nationwide meta-analysis with machine learning-driven spatial predictive modeling to assess the effects of different remediation measures (i.e., physical, chemical, and biological) on soil organic carbon (SOC) content and SMF in saline-alkali lands. We produced spatial maps of effect sizes for SMF and SOC and categorized them into four regions (i.e., northwestern, northeastern, northern, and coastal) based on distinct climatic and hydrological conditions. The results indicate that the topsoil SOC stock in China’s saline-alkali lands is estimated at 126.05 Tg, which could be increased by up to 30% under biological remediation measures. A strong positive relationship was observed between SOC and SMF, with SOC enhancement indirectly boosting crop productivity in saline-alkali soils. On a national scale, chemical remediation proved to be the optimal management strategy for simultaneously promoting SMF and SOC sequestration. Biological measures showed comparable benefits, particularly in the northwestern, northeastern, and coastal regions. However, future changes in temperature and precipitation are projected to undermine SMF improvements while accelerating SOC accumulation under remediation, potentially weakening the SOC–SMF linkage in saline-alkali soils. These insights are vital for guiding future efforts to ensure food security and mitigate climate change.

How to cite: Han, Z.: Location-optimized remediation measures for soil multifunctionality and carbon sequestration of saline-alkali land in China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16219, https://doi.org/10.5194/egusphere-egu26-16219, 2026.

EGU26-16629 | Posters on site | SSS4.4

Evaluation of Soil Chemical Characteristics by Agricultural Land Use Type in South Korea over the Recent Four Years 

Nam-joon Chough, Eunjin Lee, Myung-Sook Kim, Tae-Goo Lee, and Ha-il Jung

The Rural Development Administration (RDA) of South Korea periodically conducts the "Survey on the Status of Agricultural Resources and Environment" to conserve agricultural resources and improve the agro-environment. This program monitors changes in soil fertility, heavy metals, pesticide residues, and microbial communities, as well as agricultural water quality, input usage, and the public functions of agriculture. The results serve as fundamental data for establishing national agricultural policies. Among these factors, soil chemical properties are critical indicators linked to both crop productivity and environmental pollution. This study analyzes the results of soil chemical property surveys conducted over the past four years (2021–2024) and evaluates trends since 1999. From 2021 to 2024, annual topsoil (0–15 cm) samples were collected from uplands (1,760), orchards (1,470), paddy fields (2,110), and greenhouse cultivation sites (1,374). The samples were analyzed for pH (1:5), EC, organic matter (OM), available phosphate (Avail. P), exchangeable cations (K, Ca, Mg), and available silicate (for paddies). Analytical accuracy was strictly managed using reference materials provided by the National Institute of Agricultural Sciences (NAS). The results showed that the mean soil pH was 6.1 for paddies and 6.5 for uplands, while the mean OM content was 27 g kg⁻¹ for both land use types, maintaining levels within the optimal range. These values indicate an increasing trend compared to 1999, reflecting the positive effects of long-term government support programs for soil amendments (since 1957) and organic fertilizers (since 1999). Nutrient contents, including Avail. P, K, and Ca, showed a gradual increasing trend over time. Notably, greenhouse cultivation sites exhibited more severe nutrient accumulation compared to other land use types, largely due to the closed environment of rain-sheltered facilities preventing leaching. These findings suggest that national policies should encourage the use of appropriate fertilizer amounts on agricultural land. Furthermore, integrating these soil monitoring results with fertilizer input data would enable the identification of nutrient sources, facilitating more efficient and sustainable nutrient management strategies.

How to cite: Chough, N., Lee, E., Kim, M.-S., Lee, T.-G., and Jung, H.: Evaluation of Soil Chemical Characteristics by Agricultural Land Use Type in South Korea over the Recent Four Years, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16629, https://doi.org/10.5194/egusphere-egu26-16629, 2026.

EGU26-17619 | ECS | Posters on site | SSS4.4

Global patterns of microbial metabolic regulation under conservation tillage and implications for soil carbon cycling 

Yawen Huang, Mengyu Huo, Zhaoqiang Han, Jinyang Wang, Shuwei Liu, and Jianwen Zou

Conservation tillage is a pivotal agricultural strategy for climate change mitigation, primarily credited for enhancing soil organic carbon (SOC) sequestration. However, a comprehensive understanding of its effects on the underlying biological drivers, i.e., the soil microbial community and its metabolic functions, remains fragmented at the global scale. We synthesized global evidence on the effects of conservation tillage on soil microbial community structure, enzyme activities, and metabolic indicators (CUE, Q10, qCO₂, MQ, and CUE). Conservation tillage significantly increases microbial biomass and activities of carbon-, nitrogen-, and phosphorus-acquiring enzymes. Across studies, microbial CUE and MQ increase while qCO₂ decreases, indicating enhanced microbial growth efficiency and reduced carbon loss through respiration. Conservation tillage also moderates the temperature sensitivity of soil respiration, suggesting improved stability of soil carbon under climate warming. These effects are context-dependent and regulated by climate, soil properties, and management duration. Our synthesis demonstrates that conservation tillage promotes a microbial metabolic strategy favoring soil carbon retention and provides a mechanistic basis for evaluating management-induced changes in soil carbon sequestration potential.

How to cite: Huang, Y., Huo, M., Han, Z., Wang, J., Liu, S., and Zou, J.: Global patterns of microbial metabolic regulation under conservation tillage and implications for soil carbon cycling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17619, https://doi.org/10.5194/egusphere-egu26-17619, 2026.

EGU26-18328 | Posters on site | SSS4.4

Climate-driven soil dynamics over 30 years: insights from biological indicators across mediterranean shrubland recovery following agricultural abandonment 

Romina Lorenzetti, Anita Maienza, Gherardo Biancofiore, Filippo Gallese, Francesco Sabatini, Luciano Massetti, Giancarlo Renella, and Francesco Primo Vaccari

Soil biota plays a key role in pedogenesis, influencing nutrient cycling, organic matter transformation, and soil structure, while its composition depends on edaphic properties and pedological origin. In Mediterranean ecosystems, semi-arid conditions and historical land use have altered soil and vegetation dynamics, making natural recovery after land abandonment slow and uncertain. We assessed soil quality more than three decades after agricultural and pastoral abandonment on Pianosa Island a very representative territory of Mediterranean environment, characterized to be a limestone plateau of about 10km2, approximately 20-25 m above sea level. The island has been a penal agricultural colony for more than one century, intensively exploiting almost the entire surface. The agricultural fields  have been abandoned at the beginning of the 90's and the natural vegetation is now expanding, with different degree along the island. For its peculiar history and nature, Pianosa represents an extrapordinary on-field natural laboratory. An integrated approach was used to assess soil quality, combining vegetation surveys and chemical, physical, and biological soil analyses. Five environmental groups were identified, reflecting different regeneration stages: ex-managed areas with low Mediterranean shrub recovery degree, consistent with a higher contribution of pioneer and sub-mature shrub species; ex-managed areas with high Mediterranean shrub recovery,  with  a greater presence of mature shrub species and a more developed shrub structure; Mediterranean shrublands; coniferous forests; and coniferous forests largely colonized by Mediterranean shrubs. Results indicate that, even without human disturbance, recovery of soil biological attributes is extremely slow. Intrinsic soil properties and historical vegetation legacies strongly influence biotic reassembly and ecosystem functioning. These findings underscore the need to integrate pedological constraints and biological indicators in restoration strategies to sustain ecosystem services in Mediterranean landscapes.

How to cite: Lorenzetti, R., Maienza, A., Biancofiore, G., Gallese, F., Sabatini, F., Massetti, L., Renella, G., and Vaccari, F. P.: Climate-driven soil dynamics over 30 years: insights from biological indicators across mediterranean shrubland recovery following agricultural abandonment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18328, https://doi.org/10.5194/egusphere-egu26-18328, 2026.

EGU26-19160 | ECS | Orals | SSS4.4

Predicting soil biological indicators of soil health and identifying environmental constraints on soil biodiversity across European landscapes using earth observation data and machine learning 

Maria Marily Christou, Snezhana Mourouzidou, Yannis Kavakiotis, Nikolaos Monokrousos, Spiros Papakostas, Kostas Karyotis, Maria Tsiafouli, Venetia Koidou, Paraskevi Chantzi, and George Zalidis

Under global change and land-use intensification, changes in soil physical and chemical properties propagate to soil biota, with cascading effects on ecosystem functioning and ecosystem service provision. In turn, soil organisms regulate key soil properties such as aggregation, nutrient cycling, and organic matter stabilization, creating a tightly coupled biophysical feedback loop that underpins soil health and ecosystem resilience. However, across Europe, strong environmental heterogeneity and fragmented datasets have made it difficult to identify biological soil health indicators that are robust across land-use systems and pedoclimatic regions.

We used datasets on soil biotic and abiotic properties generated within the SOB4ES project, land-use information and Earth observation-derived climatic (ERA-5), vegetation (Sentinel-2 NDVI) and topographic (NASA SRTM DEM 30m) variables across European sites. Our aim was to investigate scalable, data-driven approaches for soil health assessment under global change and human pressures. State-of-the-art machine-learning models were used to identify the relative importance of natural environmental drivers, soil state variables and human-induced pressures, shaping soil organism abundance and diversity across spatial scales.

Diversity metrics across multiple  taxa consistently showed stronger relationships with environmental gradients than population densities, highlighting diversity as a more sensitive indicator of environmental change than density. Among the most dominant cross-taxa drivers of species richness was soil pH and organic carbon, with highest biodiversity associated with alkaline, carbon-rich soils under moderate moisture conditions. In contrast, high soil moisture and high relative humidity, reflecting both climatic forcing and land-use effects, reduced abundance and diversity across multiple groups, indicating broad sensitivity of soil biota to excess moisture stress under global change. Microbial biomass and nematode density showed particularly strong and accurately captured responses to soil carbon availability, soil texture and elevation, highlighting their value as integrative indicators of soil resource status and ecosystem functioning. Overall, our results demonstrate that biological indicators respond consistently to large-scale gradients in climate, soil chemistry and land-use, supporting their application in spatially explicit soil health assessments and in evaluating the impacts of environmental change and land management across Europe. By integrating microbial, soil faunal indicators across multiple European countries and contrasting pedoclimatic regions, our analysis shows that soil communities are governed by broadly shared environmental controls under global change and land-use pressures, rather than by idiosyncratic, site-specific effects.

The strong contribution of specific soil properties and  Earth-observation-derived variables, combined with the ability of machine-learning models to integrate heterogeneous datasets, demonstrates a powerful and scalable approach for identifying robust biological soil health indicators across regions and land-use systems.

Acknowledgments: The work and all the authors were supported by the Horizon Europe project SOB4ES (“Integrating Soil Biodiversity to Ecosystem Services”) under Grant Agreement No. 101112831. We acknowledge all participating investigators from the SOB4ES consortium who contributed to the existing sample collection and the field sampling for the generation of the spatial database used in the current analysis. Partners from KNAW, UVIGO, NUID UCD, UNICT, KU Leuven, CU, ARO, IBB, UL, UoC, SLU, EFWSL, Airfield, MFO, and INRAe provided these contributions.

How to cite: Christou, M. M., Mourouzidou, S., Kavakiotis, Y., Monokrousos, N., Papakostas, S., Karyotis, K., Tsiafouli, M., Koidou, V., Chantzi, P., and Zalidis, G.: Predicting soil biological indicators of soil health and identifying environmental constraints on soil biodiversity across European landscapes using earth observation data and machine learning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19160, https://doi.org/10.5194/egusphere-egu26-19160, 2026.

EGU26-19422 | ECS | Orals | SSS4.4

Vetch cover cropping enhances soil biological functioning and rice productivity without increasing greenhouse gas emissions in a Mediterranean rice system 

Alba Llovet Martín, Néstor Pérez-Méndez, Mar Catala-Forner, Josep Borrull, Lluís Jornet, Lluís Matamoros, and Maite Martínez-Eixarch

Cover crops are increasingly promoted as a management strategy to enhance soil carbon (C) stocks and soil health, but their effects on greenhouse gas (GHG) emissions remain uncertain, particularly in flooded rice systems where anaerobic conditions prevail. In these systems, organic inputs such as green manures have been widely reported to stimulate methane (CH₄) emissions, raising concerns about their net climate impact.

Here, we evaluated the impacts of contrasting rice rotational strategies, i.e., winter fallow, hairy vetch (Vicia villosa Roth), and Italian ryegrass (Lolium multiflorum Lam.), on soil health, C dynamics, and GHG emissions in a Mediterranean rice system located in the Ebro Delta (NE Spain). The field experiment was established in 2021, and the results presented here cover the period from February 2024 to October 2025.

Soil biological health was assessed by integrating weekly measurements of CH₄ and nitrous oxide (N₂O) emissions with microbial biomass C and nitrogen (N) and litter decomposition of cover crop shoots and roots assessed at key stages of the rice growing cycle. These indicators were complemented by measurements of soil organic carbon (SOC) stocks and soil aggregation to evaluate links between biological activity, soil structure, and C storage. Ongoing analyses of microbial necromass and SOC fractionation into particulate and mineral-associated pools will provide further mechanistic insight into C stabilization processes under different cover crop strategies.

Cover crop identity strongly influenced biogeochemical dynamics. CH₄ emissions peaked under vetch during the flooded cultivation phase, whereas no significant treatment effects were detected for N₂O emissions, despite a tendency towards lower emissions under vetch. Consequently, no net differences in global warming potential were observed among treatments. Shoot litter decomposition was significantly slower for vetch than for ryegrass, a pattern not mirrored in roots, and consistent with differences in residue lignin content. However, rapid mass loss occurred for both residue types under anaerobic conditions, suggesting an important role of solubilization processes. SOC stocks did not differ among treatments in the most superficial soil layer, but ryegrass was associated with significantly lower stocks in the 10–30 cm soil layer. Cover cropping tended to promote macroaggregate formation, suggesting potential improvements in soil structure and physical protection of organic matter. Microbial biomass C and N were marginally higher under vetch in autumn, indicating enhanced soil biological activity. At the agronomic level, rice grain yield showed a marginal increase under vetch.

Overall, our results suggest that vetch represents a promising cover crop option in Mediterranean rice paddies, enhancing soil biological functioning and rice productivity while not leading to clear increases in total GHG emissions.

 

Acknowledgements

This study was funded by The Government of Catalonia through the projects AgriCarboniCat and Carboni al Sòl.

How to cite: Llovet Martín, A., Pérez-Méndez, N., Catala-Forner, M., Borrull, J., Jornet, L., Matamoros, L., and Martínez-Eixarch, M.: Vetch cover cropping enhances soil biological functioning and rice productivity without increasing greenhouse gas emissions in a Mediterranean rice system, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19422, https://doi.org/10.5194/egusphere-egu26-19422, 2026.

EGU26-20319 | ECS | Posters on site | SSS4.4

Deep soil biota drive trade-offs between above and belowground functioning during dryland restoration 

Zhiyuan Xu, Mark Anthony, Tianyi Qiu, and Zhenhong Hu

Afforestation can enhance carbon sequestration in global drylands but may impair ecosystem functioning via deep-soil water depletion. However, it remains unclear how afforestation-driven turnover in soil biota influences aboveground vegetation status and soil multifunctionality, particularly in deep soil. Here, we conducted a ~500-km transect survey across four precipitation regions on the Loess Plateau, China, comparing 25-year-old plantations with adjacent croplands. We characterized soil biota (bacteria, fungi, protists, and invertebrates) using amplicon sequencing and quantified soil multifunctionality in topsoil (0–20 cm) and deep soil (160–200 cm). We found that afforestation was linked to stronger effects in deep versus topsoil, and the magnitude of these effects varied across the precipitation gradient. Afforestation consistently reduced deep-soil water and multifunctionality, whereas topsoil responses became increasingly negative at the drier range of the precipitation gradient. Soil biotic change was driven primarily by community turnover rather than diversity, and turnover responses across all biotic groups weakened with reduced precipitation. Turnover patterns further supported a trade-off between aboveground greening and belowground functioning. Soil biota that established after afforestation were positively associated with canopy greenness but negatively associated with soil multifunctionality, whereas those that disappeared showed the opposite linkages. Biota that persisted before and after afforestation were positively associated with both canopy greenness and multifunctionality. Overall, our results show that gains in aboveground greenness can mask persistent deep-soil functional losses in dryland afforestation, emphasizing that restoration success should be evaluated with explicit deep-soil indicators.

How to cite: Xu, Z., Anthony, M., Qiu, T., and Hu, Z.: Deep soil biota drive trade-offs between above and belowground functioning during dryland restoration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20319, https://doi.org/10.5194/egusphere-egu26-20319, 2026.

EGU26-20980 | Orals | SSS4.4

Size matters: Fine biochar application mitigates N2O emissions during extreme drying and rewetting events in arable soils 

Ezekiel K. Bore, Harry T. Child, Nina L. Friggens, Cheryl Hook, Elizabeth L. Cressey, Lucy Wierzbicki, John Dowdle, Richard K. Richard K. Tennant, Kees Jan van Groenigen, and Iain P. Hartley

Drying and rewetting (D/W) causes substantial stress to soil microbial communities, with important consequences for soil carbon (C) and nitrogen (N) dynamics. The impacts of biochar addition on these effects are underexplored. Fine biochar increases soil pH and enhances adsorption of labile ammonium (NH4+) released during repeated D/W cycles due to large surface area. We therefore hypothesised that application of fine biochar would decrease D/W-induced soil N2O emissions. Arable soils were prepared as (i) unamended controls, (ii) soils limed to replicate biochar pH effects, and (iii) soils amended at 1% of the dry soil weight with two particle-size fractions of biochar (<1.4mm “fine” and >3mm “coarse” pellets) produced from wheat straw and anaerobic digestate feedstocks. These soils were subjected to different frequencies of D/W cycles; 0, 1 or 4 cycles during a 58-day period. Ammonium nitrate fertilizer was applied at the start and after 45 days of incubation.

In the early stages of the incubation, lime and biochar addition both increased soil N2O emissions relative to the controls. However, fine digestate biochar reduced cumulative N2O emissions by 12.9% in the soil subjected to 0-cycles of D/W compared with non-amended control soils. Addition of lime to induce the same pH change as the biochar additions tended to decrease N2O emissions, suggesting that the reduction in N2O was partly mediated by a pH increase. Increasing D/W frequency elevated N2O emissions across the treatments except for both particle size wheat straw biochar amended soils, where N2O emissions were not altered by D/W frequency. Nonetheless, comparing N2O emissions at highest D/W frequency across treatments, the N2O released from soil amended with fine wheat straw biochar was the lowest. Lime and biochar addition decreased NH4+ concentration in soil by 19 – 55.5% compared to control soils. This reduction in NH4+ concentration suggest a pH-induced stimulation of nitrification with minimal N2O release. Overall, application of fine biochar mitigates soil N2O emissions, even during extreme D/W scenarios that may become increasingly frequent with climate change, and should therefore be considered a promising management practice for N2O emissions reduction in arable soils.

How to cite: Bore, E. K., Child, H. T., Friggens, N. L., Hook, C., Cressey, E. L., Wierzbicki, L., Dowdle, J., Richard K. Tennant, R. K., van Groenigen, K. J., and Hartley, I. P.: Size matters: Fine biochar application mitigates N2O emissions during extreme drying and rewetting events in arable soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20980, https://doi.org/10.5194/egusphere-egu26-20980, 2026.

EGU26-21429 | Posters on site | SSS4.4 | Highlight

Automated imaging and taxonomy-guided AI for accurate and scalable soil biodiversity diagnosis 

Vojtech Kurfurst, Richard Janissen, Ziad Matar, Gido Verheijen, Adam Cervenka, Aisling Wigman, Kanta Tanahashi, Martin Kolarik, and Hazem Issa

Soil biodiversity is crucial for our functional biosphere and 95% of our food relies on healthy soil. Yet over 70% of earth’s soil is degraded, highlighting the urgency to restore soil health, a goal emphasized by the recent European Soil Monitoring directive. Soil-born nematodes exist within all trophic levels of the soil food web and represent a universal bioindicator of soil biodiversity, even in degraded soils. However, this indicator is not widely used and requires nematologist and soil ecology experts as well as significant labor-intensive manual analyses. With the support of EIC and EIT, we developed an automated end-to-end diagnosis tool, comprised of an automated soil sample imaging system (NEMASCOPE TM) and a multi-level, taxonomy-guided computer vision AI for nematode species identification. Our technology provides quantitative soil biodiversity parameters based on the existing scientific framework of Nematode-based Indices (NBIs), assessing soil health, immunity, fertility, soil-based plant parasites, carbon cycling, pollution, and organic degradation pathway, among other NBIs for soil assessment. Validated by research phytopathogenic laboratories, the tool demonstrated to be in average more accurate (>90%) and over 20-times faster (<15 min) in end-to-end biodiversity analysis compared to manual analysis. The system’s nematode identification performance we evaluated on Root-knot nematode (RKN) species level identification accuracy across Meloidogyne species that are among the most economically damaging plant-parasitic nematodes, using naturally infested field samples containing M. chitwoodi, which are challenging to distinguish from other Meloidogyne species due to their morphological similarities. Compared with manual identification, the AI-based approach achieved an accuracy of ~95% in identifying RKN genera with species-level prediction accuracy for M. chitwoodi with ~96%, essentially matching manual expert performance. Our platform demonstrates expert-level accuracy for nematode identification down to the species level particularly necessary for plant-parasite index (PPI) assessment. The technology allows scalable, industry-ready diagnostics addressing the global shortage of nematologist expertise with the potential to become a new standard in commercial and research sectors, aiding in the global efforts to manage and restore soil health.

How to cite: Kurfurst, V., Janissen, R., Matar, Z., Verheijen, G., Cervenka, A., Wigman, A., Tanahashi, K., Kolarik, M., and Issa, H.: Automated imaging and taxonomy-guided AI for accurate and scalable soil biodiversity diagnosis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21429, https://doi.org/10.5194/egusphere-egu26-21429, 2026.

EGU26-21942 | ECS | Orals | SSS4.4

Wildflower strips and soil fauna: multi-taxa responses to management and consequences for decomposition 

Alfredo Venturo, Martin Štrobl, Jakub Hlava, Eliška Brandová, Karel Tajovský, Vojtěch Pařízek, Nikola Pecníková, and Michal Knapp

Despite being a highly popular topic in agroecological research, the impact of wildflower strips (WFSs) on soil biota and related ecosystem services remains poorly understood. To achieve a more comprehensive understanding, we need long-term studies that combine biodiversity and decomposition data while accounting for the additive effects of management. In this study, we analysed earthworm abundance, species richness and biomass, soil arthropod abundance, and litter decomposition rates in WFSs and adjacent crops across three years, controlling for sowing term and seed mixture effects. Furthermore, we evaluated how contrasting WFS tillage managements (tillage vs. no-till) affect epigeic and soil arthropod communities.

Earthworm abundance, species richness, biomass, and soil arthropod abundance were consistently higher in wildflower strips than in cropped margins. Moreover, the effects strengthen over time, suggesting cumulative benefits from reduced disturbance and the establishment of permanent vegetation. Tillage effects showed taxon-specific responses to disturbances, with carabids, isopods, and other soil-dwelling arthropods being negatively affected. In contrast, taxa less bound to soil stability, such as spiders, exhibited transient rebound dynamics. Undisturbed WFSs showed a lower long-term decomposition rate, suggesting a trade-off between biodiversity gains and decomposition under less disturbed soil conditions.

These results underscore the importance of WFSs for soil biota in agricultural contexts, suggesting that disturbance-sensitive management strategies should be implemented to enhance soil biodiversity. However, the potential trade-offs with ecosystem services, such as decomposition, require further investigation to optimise agricultural practices. Building on these findings, we plan to explore further how changes in vegetation structure influence epigeic arthropods, hypothesising that denser, more structurally complex vegetation promotes higher abundance and diversity. 

How to cite: Venturo, A., Štrobl, M., Hlava, J., Brandová, E., Tajovský, K., Pařízek, V., Pecníková, N., and Knapp, M.: Wildflower strips and soil fauna: multi-taxa responses to management and consequences for decomposition, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21942, https://doi.org/10.5194/egusphere-egu26-21942, 2026.

EGU26-2172 | ECS | Posters on site | SSS4.7

Rice-crayfish farming systems improve soil carbon stocks and ecosystems services 

wei yang, Shang Wang, Yi Xu, Matthew Tom Harrison, Yong Zhou, Ke Liu, Dengwen Zhou, Hongrui Dong, Jiangwen Nie, Zhangyong Liu, and Bo Zhu

Soil aggregates are central to soil ecological functioning, regulating both carbon sequestration and nutrient retention. The rice–crayfish (RC) farming system has been widely promoted as a diversification strategy for rice monoculture, yet its capacity to stabilize soil organic carbon (SOC) has largely been inferred from bulk soil measurements, leaving underlying aggregate-scale mechanisms unresolved. Here, using an eight-year field experiment on the Jianghan Plain, China, we provide the first long-term, depth-resolved evidence that RC enhances SOC sequestration through aggregate-mediated carbon protection rather than changes in aggregate size distribution alone. Across surface (0–20 cm) and subsurface (20–40 cm) soils, SOC stocks were strongly and negatively coupled to aggregate-level carbon mineralization. Large macroaggregates—comprising more than 60% of total aggregate mass—exhibited the lowest mineralization quotients, revealing a previously unquantified stabilization efficiency within RC systems. RC farming increased SOC concentrations within large macroaggregates by 45% in surface soils and 38% in subsurface soils, resulting in an 8% increase in SOC stocks across the 0–40 cm profile. Crucially, this increase occurred despite elevated absolute mineralization potential, demonstrating a decoupling between carbon input and decomposition intensity that has not previously been documented in rice–aquaculture systems. In parallel, RC enhanced soil ecosystem multifunctionality by 18-fold in surface soils, linking aggregate-scale carbon persistence to broader gains in nutrient cycling and soil function. By explicitly connecting soil structural hierarchy, mineralization efficiency, and multifunctionality, this study identifies a mechanistic pathway through which integrated rice–aquaculture systems can simultaneously enhance carbon sequestration and agroecosystem performance—advancing RC farming from a productivity-based practice to a quantifiable, process-driven climate mitigation strategy.

How to cite: yang, W., Wang, S., Xu, Y., Tom Harrison, M., Zhou, Y., Liu, K., Zhou, D., Dong, H., Nie, J., Liu, Z., and Zhu, B.: Rice-crayfish farming systems improve soil carbon stocks and ecosystems services, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2172, https://doi.org/10.5194/egusphere-egu26-2172, 2026.

EGU26-2740 | Orals | SSS4.7

Advancing sustainable agriculture in acidic soils through artificial intelligence-driven functional microbiome mining and microbial-mediated crop resilience 

Yuting Liang, Meitong Jiang, Zhiyuan Ma, Li Zhang, Jizhong Zhou, Jian Xu, and Jiabao Zhang

Acidic soils, covering ~40% of the world’s arable land, pose severe constraints on crop productivity due to aluminum (Al) toxicity. Traditional approaches to studying microbial contributions to plant Al tolerance have been limited by the inability to efficiently isolate and characterize functional microorganisms from complex environmental samples. To address this, we developed an ​Artificial Intelligence-Assisted Raman-Activated Cell Sorting (AI-RACS)​​ system, which integrates single-cell Raman spectroscopy, optical tweezers, and AI-driven automation to enable high-throughput, label-free sorting of microbial cells based on their metabolic activity under stress conditions. Applied to acidic red soils, AI-RACS successfully isolated Al-tolerant strains by quantifying metabolic activity via deuterium oxide (D₂O) probing, outperforming conventional cultivation methods. These isolates were used to construct ​synthetic microbial communities (SynComs)​​ that enhanced rice resilience in acidic soils. In field trials, SynCom inoculation increased rice yield by ​26.36%​, reduced root Al accumulation by ​26.5%​, and improved phosphorus availability by solubilizing legacy soil phosphorus. Mechanistic studies revealed that microbial cooperation underpins SynCom efficacy: for instance, Pseudomonas sp. and Rhodococcus sp. exhibited enhanced Al tolerance via ​quinolone-mediated cross-feeding, where degradation of the signaling molecule HHQ reinforced cell walls and optimized metabolic activity under Al stress. Further research demonstrated that SynComs activate host plant adaptations by ​remodeling root cell walls. Specifically, microbes upregulated xyloglucan endotransglucosylase (XET) activity and brassinosteroid biosynthesis, reducing Al binding sites in roots and decreasing Al accumulation by ​47.5%​​. This synergy between microbial metabolic support and host cell wall modification highlights a novel pathway for mitigating Al toxicity. Our work establishes a scalable framework from AI-RACS-driven functional strain identification to SynCom application, that bridges microbiome ecology and crop resilience. These advances offer practical strategies for sustainable agriculture in acidic soils, leveraging microbial tools to enhance food security without relying on chemical amendments.

How to cite: Liang, Y., Jiang, M., Ma, Z., Zhang, L., Zhou, J., Xu, J., and Zhang, J.: Advancing sustainable agriculture in acidic soils through artificial intelligence-driven functional microbiome mining and microbial-mediated crop resilience, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2740, https://doi.org/10.5194/egusphere-egu26-2740, 2026.

EGU26-5165 | Orals | SSS4.7

Surface activity of Chlorella exudates 

Gebrehana Kassa Adhena and Arye Gilboa

Chlorella sorokiniana is a protein-rich microalga whose extracellular exudates are increasingly recognized for their potential as natural surface-active compounds. Although dissolved organic matter (DOM) and microbial exudates are known to affect soil wettability and heavy metal mobility, the specific interfacial behavior of C. sorokiniana exudates has not yet been quantitatively studied. In this research, we examined the combined physicochemical properties of these exudates and investigated how their molecular composition influences surface activity. The algae's growth was monitored daily through optical density at 750 nm (OD₇₅₀), chlorophyll levels, and biomass measurements. After three weeks, during the late exponential to early stationary phase, exudate production was quantified via Non-Purgeable Organic Carbon (NPOC) and Total Nitrogen (TN), which reached 12 mg/L and 430 mg/L respectively, indicating active organic matter release. Surface tension measurements using pendant drop techniques showed a reduction from 72 mN/m to 53 mN/m, confirming biosurfactant activity. Contact angles on hydrophobic polystyrene measured by the Wilhelmy plate method were advancing at 71.5° and receding at 60°, reflecting increased wettability caused by the exudates. The amphiphilic nature and effects on interfacial interactions were characterized through surface free energy components based on the Owens-Wendt-Rabel-Kaelbel (OWRK) model. Fluorescence analysis with Excitation–Emission Matrix (EEM) and PARAFAC identified two main protein-like fluorophores—tyrosine-like (Ex/Em ≈ 275/305 nm) and tryptophan-like (Ex/Em ≈ 275/340 nm)—confirming their protein origin. Overall, this study highlights C. sorokiniana exudates as natural biosurfactants, directly connecting their molecular makeup to their surface activity.

How to cite: Adhena, G. K. and Gilboa, A.: Surface activity of Chlorella exudates, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5165, https://doi.org/10.5194/egusphere-egu26-5165, 2026.

EGU26-5260 | ECS | Orals | SSS4.7

Dynamic responses of percolation fen microbiome activity to organic matter and oxygen availability 

Sajedeh Khosrozadeh, Klaus-Holger Knorr, and Tjorven Hinzke

In peatlands, as predominantly waterlogged and thus anoxic ecosystems, incomplete and limited decomposition of organic matter leads to accumulation of peat, while ongoing, albeit slow decomposition releases greenhouse gases (CO2, CH4, and N2O) into the atmosphere. Thus, peatlands function simultaneously as major global carbon sinks and reservoirs and as active sources of greenhouse gases. Diverse microbial communities, characterized by a wide range of metabolic capabilities, regulate organic matter decomposition under both oxic and anoxic conditions, along with thermodynamic and transport related constraints. Decomposition under anoxic conditions is a process that often represents the main bottleneck in carbon mineralization in peatlands. However, the functional role of percolation fen microbiomes in organic matter decomposition and carbon mineralization under varying environmental conditions remains poorly understood.

We investigated the effects of ten key organic model substrates with different molecular complexity and three aeration regimes (oxic, anoxic, and oxic–anoxic shift) on microbial CO2 and CH4 production as an indicator of potential carbon mineralization over a 56-day incubation time series. We also evaluated inorganic and organic terminal electron acceptor availability by measuring electron-accepting (EAC) and electron-donating capacities (EDC) and other geochemical parameters (e.g., pH, DOC, trace metals, major ions, and NH4+) in relation to microbial respiration.

Our results showed that CO2 and CH4 production were highly substrate-specific. Each complex substrate, including plant tissues (e.g., Carex spp., Typha spp., Alnus spp.), lignin, cellulose, and chitin exhibited a distinct temporal pattern of CO2 and CH4 production throughout the incubation period. In contrast, simple substrates (e.g., artificial root exudate, acetate, tannic acid, and cyanin) showed similar patterns as observed in the non-amended control sample. Similar substrate-specific trends were observed for EAC and EDC. The oxic–anoxic shift condition resulted in the highest CO2 production while CH4 production remained suppressed as compared to continuously anoxic conditions. Despite this, EAC did not increase under the oxic–anoxic shift; rather, its pattern closely resembled the permanently anoxic treatment, indicating that the brief oxygen exposure was insufficient to recharge EAC and that microbes consumed the O2 faster than regeneration of organic matter EAC by O2 could occur. Furthermore, our multivariate analysis of aeration conditions and substrates using PERMANOVA showed a significant effect of O2 availability throughout the incubation period (p = 0.001, R2 = 0.62). While microbial responses and geochemical parameters did not differ among aeration conditions at early stage of incubation, but clear separation emerged in the second half of the incubation period, driven primarily by divergence in the oxic condition, while the anoxic and oxic–anoxic conditions remained similar to each other.

Our study demonstrates that aeration regimes and substrate quality strongly influence microbiome-driven biomass turnover in fen peatlands. Notably, microbial communities exhibit a more rapid response to O2 availability than terminal electron acceptors, even following brief oxygen exposure. Furthermore, microbial organic matter decomposition patterns shift over time in accordance with the complexity of each substrate. We are currently performing metagenomic and proteomic analyses to elucidate the fen peatland microbial community functional structures involved in these diverging responses.

How to cite: Khosrozadeh, S., Knorr, K.-H., and Hinzke, T.: Dynamic responses of percolation fen microbiome activity to organic matter and oxygen availability, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5260, https://doi.org/10.5194/egusphere-egu26-5260, 2026.

Against the dual pressures of global food security and climate change, sustainable management of intensive agricultural ecosystems has emerged as a core issue in balancing crop production and ecological stability. Tillage practices and straw returning, as key agronomic measures for regulating soil health and crop productivity, are widely recognized as critical approaches to enhance soil organic carbon sequestration, improve soil structure, and strengthen nutrient cycling. However, most existing studies focus on the macro-scale effects of single practices, and there remains a significant knowledge gap in understanding how tillage and straw returning drive ecosystem productivity by modulating micro-scale processes at the root-soil-microbe interface. 

To address this knowledge gap, we conducted a long-term field experiment in the Huang-Huai-Hai Plain, with three tillage regimes (plow tillage, subsoiling, rotary tillage) crossed with two straw management strategies (straw returning and no straw returning). We systematically analyzed soil physicochemical properties, root morphological and metabolic characteristics, and annual crop yields (wheat and maize) to unravel the regulatory mechanisms of tillage and straw returning on root-soil-microbe interactions and their linkage to ecosystem productivity.

Results showed that subsoiling and rotary tillage significantly improved soil water storage compared to plow tillage, with subsoiling enhancing water availability more effectively. Straw returning combined with subsoiling increased soil organic carbon (SOC) and total nitrogen (TN) storage in the 0-40 cm layer, with SOC increasing by 41.7% and TN by 23.6% compared to baseline measurements in 2002. Tillage practices reshaped soil aggregate stability: subsoiling and rotary tillage increased the proportion of water-stable aggregates (>0.25 mm) in the 0-20 cm layer, providing favorable habitats for microbial communities. Root metabolic analysis revealed that plow tillage promoted root elongation and smooth surface morphology, while rotary tillage resulted in thicker roots with fewer root hairs. Differential enrichment of key metabolic pathways, including ATP-binding cassette transporters, salicylic acid signaling, and purine metabolism, indicated that tillage practices reprogrammed root-microbe communication at the rhizosphere interface.

Subsoiling with straw returning achieved the highest grain yield (8.28 t hm⁻² for wheat and 11.83 t hm⁻² for maize), which was attributed to improved soil structure, enhanced nutrient cycling, and synergistic root-soil-microbe interactions. This study demonstrates that tillage and straw returning regulate soil interface processes, effectively bridging micro-scale root metabolism and aggregate dynamics to macro-scale ecosystem productivity. These findings provide a robust scientific basis for sustainable farming management in the Huang-Huai-Hai region and highlight the critical role of rhizosphere plant-microbial interactions in scaling ecological processes from soil habitats to ecosystem functions.

How to cite: Ning, T., Liu, Z., Zhao, H., and Li, G.: Tillage and Straw Returning Modulate Aggregate Stability, Root Metabolism, and Soil Biotic Interactions for Ecosystem Productivity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6133, https://doi.org/10.5194/egusphere-egu26-6133, 2026.

Biochar has been widely promoted as a carbon sequestration strategy in agricultural soils. However, comparatively less attention has been paid to how biochar alters the physical, chemical, and biological properties of soils, particularly within the rhizosphere where plant–microbe interactions are most active.
In this study, we investigated rhizosphere responses of soybean (Glycine max (L.)) to two contrasting biochar type (woody biochar and poultry biochar) applied at different placement strategies (surface vs. mix application). We quantified changes in the forms and amounts of rhizosphere carbon and nitrogen, assessed nodulation as a proxy for nitrogen-fixing bacterial activity, and evaluated rhizosphere enzyme activity.

Our results demonstrate that soybean root morphology responded strongly to biochar type. Poultry biochar, which contains substantial essential nutrients (N and P), promoted a root system characterized by a greater proportion of vertical root components. In contrast, woody biochar induced a wider and more laterally developed root architecture, as confirmed by quantitative root trait analysis. 

Enzyme activities in the rhizosphere (β-glucosidase, N-acetylglucosaminidase, and phosphatase) are currently being analyzed, and preliminary observations indicate consistently higher enzyme activities and greater microbial biomass in the woody biochar compared with the poultry biochar treatment. This pattern is likely associated with enhanced nodule formation under woody biochar, suggesting intensified rhizosphere microbial activity coupled with biological N fixation.

By contrast, biochar placement showed minimal effects on soil biochemical indicators, implying that the primary influence of biochar in this system is mediated through chemical and biological pathways rather than physical modification. It indicates that biochar type, rather than placement, primarily governs soybean rhizosphere responses by reshaping root architecture and associated microbial activity. 

How to cite: Kim, K.: Biochar type shapes root architecture and rhizosphere enzyme hotspots, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6170, https://doi.org/10.5194/egusphere-egu26-6170, 2026.

EGU26-6211 | ECS | Posters on site | SSS4.7

Influence of Long - term Nitrogen Fertilizer and Bradyrhizobium Inoculation on Diazotrophic Communities at Soil Interface during Soybean Cultivation 

wang penghui, ma mingchao, wei wanling, jiang xin, and li jun

Diazotrophs are crucial for sustainable agriculture by converting atmospheric N2 into plant-absorbable nitrogen via biological nitrogen fixation. Historically, excessive chemical fertilizer application has been employed to enhance soybean yield; however, this approach poses direct and indirect threats to the sustainable and healthy development of soil organisms. Rhizobial inoculation not only offers an eco-friendly alternative to synthetic nitrogen fertilizers but also contributes to sustainable agricultural practices. Understanding how different agricultural practices affect diazotrophic communities can provide valuable insights for optimizing nitrogen management in crop production.

In the study, we employed the nifH gene as a molecular marker to assess the impact of 10 years of nitrogen fertilization and Bradyrhizobium inoculation on diazotrophic community structure. Treatments included no fertilization (CK), phosphorus plus potassium (PK), PK plus urea (PK + N), and PK plus Bradyrhizobium japonicum 5821 (PK + R). Soil samples were collected 30 cm from the plant as bulk soil and the soil adhering to the root as rhizosphere soil.

The analysis of non-metric multidimensional scaling, neutral community model and the Spearman relationship indicated that at soybeans flowering-podding stage, Bradyrhizobium inoculation increased nifH gene copies but decreased the Shannon index in both bulk and rhizosphere soils compared to nitrogen fertilization. At maturity, Bradyrhizobium inoculation reduced nifH gene copies while increasing the Shannon index in both bulk and rhizosphere soils. Bradyrhizobium inoculation lowered beta diversity in the rhizosphere during the floweringpodding but increased it in mature bulk soil. The dominant diazotrophic genera were Bacillus, Azohydromonas, and Skermanella. Bradyrhizobium inoculation enhanced Bacillus abundance during flowering-podding but reduced it while boosting Azohydromonas and Skermanella during maturity.

Overall, Bradyrhizobium inoculation decreased network complexity but increased diazotrophic dynamics compared to nitrogen fertilization. Long-term Bradyrhizobium inoculation fosters diazotrophic interactions more effectively than nitrogen fertilization.

How to cite: penghui, W., mingchao, M., wanling, W., xin, J., and jun, L.: Influence of Long - term Nitrogen Fertilizer and Bradyrhizobium Inoculation on Diazotrophic Communities at Soil Interface during Soybean Cultivation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6211, https://doi.org/10.5194/egusphere-egu26-6211, 2026.

Grain production in the Huang-Huai-Hai region of China has long relied on high-intensity nitrogen (N) fertilization, resulting in a decoupling between fertilizer input and yield gains as well as conspicuously low nitrogen use efficiency (NUE). To develop a synergistic optimization regime integrating tillage and nitrogen management for reducing N input while enhancing NUE, a field experiment was conducted based on a long-term positioning trial initiated in 2005. The experiment employed two tillage practices (rotary tillage, RT; subsoiling, ST) and three N application rates (100%, 75% and 0% of the conventional dosage). Results showed that ST significantly increased contents of total nitrogen, nitrate nitrogen and microbial biomass nitrogen in the 0–20 cm (p<0.05), while N application elevated soil nitrogen storage in the 0–40 cm profile (p<0.05). Bacterial community diversity and richness peaked under the 75% N treatment but were minimized under 100% N application. Higher N input promoted nitrogen accumulation in maize across all growth stages and increased the proportion of nitrogen allocated to grains. Compared with 100% N, 75% N application improved partial factor productivity of nitrogen, NUE and agronomic nitrogen efficiency. At the same N rate, ST outperformed RT in grain nitrogen accumulation, partial factor productivity of nitrogen and nitrogen harvest index. The conventional N application (100% N) sustained high yields, it compromised NUE. The combined practice of subsoiling and reduced N application can synchronously improve soil quality, crop yield and NUE, providing a feasible technical solution for sustainable grain production in the Huang-Huai-Hai region.

 

How to cite: Liu, Z.: Effects of tillage practices and nitrogen application on maize nitrogen utilization and soil bacterial communities, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8518, https://doi.org/10.5194/egusphere-egu26-8518, 2026.

This study investigated an innovative strip straw returning and tillage system to evaluate its impacts on water-salt transport and winter wheat yield in coastal saline-alkali land. The experimental design implemented strip-wise tillage with deep plowing (2.4 m width) intervals of 4.8 m (DR4.8) or 2.4 m (DR2.4), and rotary tillage in other strips. Combined with two straw returning methods: concentrated (C) and uniform (U) straw return. The concentrated straw treatment specifically transferred straw from rotary-tilled strips into deep-plowed strips. Four experimental treatments of tillage combined with straw returning: CDR4.8, UDR4.8, CDR2.4, UDR2.4, and rotary tillage combined with uniform straw returning were used as the routine treatment (UR). Our results in coastal mild (Chang Yi) to moderate (Wu Di) saline-alkali land demonstrated that deep-plowed strips concentrated straw within the 0-30 cm soil layer, creating localized modifications in water-salt distribution that drove transverse displacement of solute-laden water from rotary-tilled to deep-plowed strips. The lateral migration of water and salt from the rotary-tilled strip to the deep-plowed strip significantly increases with an increase in the straw returned in the deep-plowed strip (Wu Di: water- 73.50%; salt-77.62%, Chang Yi: water- 78.62%; salt-57.67%). It is worth noting that the lateral migration rate of water and salt in each treatment gradually decreased with the advancement of the growth period. The transverse transport efficiency of CDR2.4 and UDR2.4 was significantly higher than that of CDR4.8 and UDR4.8 (Wu Di- 18.68%; Chang Yi- 34.63%), and the transverse transport efficiency of Wu Di was significantly higher than Chang Yi (22.82%). Two years of field trials in both places showed that the highest yield was achieved with the CDR4.8 treatment (Wu Di- 9.52%; Chang Yi- 8.98% increase compared to R). These findings establish that integrated strip tillage with straw redistribution offers a promising approach for sustainable coastal saline-alkali land improvement.

How to cite: Li, G.: Water-salt Displacement in Different Width Strip Tillage by Concentrated Straw Return Increased Wheat Yield in Coastal Saline-alkali Land, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8563, https://doi.org/10.5194/egusphere-egu26-8563, 2026.

EGU26-8904 | Orals | SSS4.7

Linking mycorrhizal status to plant nutrient strategy across subtropical forest succession 

Ruiqiang Liu, Yanghui He, and Xuhui Zhou

Classical theory posits that late-successional plants develop symbiotic mycorrhizal networks to improve plant nutrient use efficiency and soil nutrient conservation, particularly of nutrients like phosphorus (P), which become depleted during plant community development. However, experimental test of these hypothesized functions are lacking. Here, we conducted a experiment of trenches lined with mesh screens of varying sizes across subtropical succession and a regional survey of 14 subtropical forest sites to explore mycorrhizal hyphal effects on soil nitrogen (N) and P cycling and plant use efficiency. Results revealed that later successional plants had greater P use efficiency, showing lower leaf P concentration and a higher N:P ratio than early successional ones. Ectomycorrhizal (EcM) fungal abundance increase with succession and largely explain the variation in plant PUE and leaf N: P ratio. At late successional stage, these fungi promote soil P conservation through enhancing soil P adsorption and microbial biomass P: N ratio, while simultaneously stimulating nitrogen (N) cycling through the greater release of N-related relative to P-related enzymes. Regionally, EcM abundance was positively correlated with soil N: P enzyme ratio, and nonlinearly correlated to leaf N:P ratio after controlling for soil nutrients, confirming its role in enhancing soil N cycling and P conservation. Our findings highlight EcM fungal critical role in balancing forest N and P cycling, underscoring the need to integrate mycorrhizal effects into nutrient management strategies for subtropical forests.

How to cite: Liu, R., He, Y., and Zhou, X.: Linking mycorrhizal status to plant nutrient strategy across subtropical forest succession, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8904, https://doi.org/10.5194/egusphere-egu26-8904, 2026.

EGU26-9024 | ECS | Posters on site | SSS4.7

Exploring the potential of plant-growth promoting rhizobacteria to mitigate yield decline in wheat rotations 

Nikolaos Kaloterakis, Andrea Braun-Kiewnick, Doreen Babin, Mehdi Rashtbari, Otávio dos Anjos Leal, Kerui Zhao, Bahar S. Razavi, Kornelia Smalla, and Nicolas Brüggemann

Winter wheat is one of the most important crops worldwide. Consequently, farmers have increased the proportion of wheat in their crop rotations. However, self-succession of WW leads to significant yield decline, which is attributed to the soil-borne fungus Gaeumannomyces tritici (Gt; take-all). This yield decline is also observed in years without pronounced Gt presence in the soil, suggesting a moderating role of the soil microbial community in plant-soil feedbacks. At the same time, there is growing interest in harnessing the beneficial properties of plant growth-promoting bacteria to enhance plant health and productivity. The potential of using such beneficial rhizobacteria to alleviate biomass reduction in successive wheat rotations is substantial. In this experiment, we explored this management option by seed-inoculating wheat plants with Bacillus pumilus. Wheat was grown in soil after oilseed rape (W1) and soil after one season of wheat (W2). We measured soil mineral N, microbial diversity and community composition, as well as, microbial activity. Special focus was placed on root plastic responses as a function of the microbial inoculant and wheat rotational position. W1 produced more biomass and had a higher yield than W2. Successively grown wheat had a much lower root growth, compared to wheat grown after oilseed rape. Bacillus pumilus inoculation did not mitigate the yield reduction in W2. Differences in catalytic efficiency of β-glucosidase and leucine aminopeptidase were observed between W2 and W1, with higher and lower efficiencies, respectively, in W2; these effects were mainly driven by Bacillus pumilus inoculation. We discuss potential mechanisms that moderate these effects.

How to cite: Kaloterakis, N., Braun-Kiewnick, A., Babin, D., Rashtbari, M., dos Anjos Leal, O., Zhao, K., Razavi, B. S., Smalla, K., and Brüggemann, N.: Exploring the potential of plant-growth promoting rhizobacteria to mitigate yield decline in wheat rotations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9024, https://doi.org/10.5194/egusphere-egu26-9024, 2026.

EGU26-9684 | Posters on site | SSS4.7

Glacial Preconditioning of Alpine Peatland Formation 

Marianna Mattiazzi, Mathias Hopfinger, Bernhard Salcher, Jan-Christoph Otto, Adrian Flores Orozco, Andreas Tribsch, Xaver Wimmer, and Emily Watson-Cook

Peatlands are ecosystems that comprise the largest terrestrial carbon store on Earth. They play a critical role in climate change mitigation, while also supporting unique biodiversity, regulating water flow and serving as paleoecological archives. Understanding the history of peatland formation and present subsurface conditions is essential for effective conservation and restoration efforts. Past glacial processes have had a first-order impact on peatland development in both mountain environments and lowlands. Although the role of climate in peat initiation is well explored, the influence of glaciations on postglacial peat-forming processes remains poorly investigated.

Glaciers can provide suitable conditions for peatland formation by the ability to i) form local depressions and ii) deliver abundant fine sediments to induce ponding. However, the efficiency of glacial erosion strongly depends on geological factors like rock erodibility or basal topography. Other factors may in turn impede postglacial peat accumulation despite apparently suitable geological and climatic conditions. These include e.g. a high flood frequency, fluvial erosion in alluvial valleys, or, in mountainous environments, high landslide frequency.

To investigate peatland substrata, we apply a combination of geophysical methods, including ground penetrating radar and electrical resistivity tomography, and core drilling. We present characteristic peatland environments in central and perialpine settings and discuss how i) glacial depositional and ii) glacial erosional processes control their formation. In addition, we examine the onset of peat growth and rates of peat accumulation in formerly glaciated regions of the Eastern Alps.

These insights contribute to the understanding of present-day peatland ecosystem functioning, as subsurface stratigraphy often controls hydrological characteristics and vegetation patterns. Such knowledge is essential for peatland conservation and restoration strategies aimed at maintaining their role as important habitats and long-term carbon stores.

How to cite: Mattiazzi, M., Hopfinger, M., Salcher, B., Otto, J.-C., Orozco, A. F., Tribsch, A., Wimmer, X., and Watson-Cook, E.: Glacial Preconditioning of Alpine Peatland Formation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9684, https://doi.org/10.5194/egusphere-egu26-9684, 2026.

EGU26-11943 | ECS | Posters on site | SSS4.7

Tree mycorrhizal type couples soil microbial N mobilization to foliar N pools 

Haikuo Zhang, Wenting Wang, Elisabeth Bönisch, Huimin Yi, Olga Ferlian, Rémy Beugnon, Peter Dietrich, Tobias Proß, Steffen Seitz, Xiaodong Yang, Thomas Scholten, Nico Eisenhauer, and Yvonne Oelmann

Tree species differ in how they acquire nutrients through arbuscular mycorrhizal fungi (AMF) and ectomycorrhizal fungi (EMF) symbioses, yet how these contrasting mycorrhizal strategies regulate soil microbial nutrient mobilization and its coupling to tree nutrient status remains poorly resolved. Here, using a 10-year temperate tree diversity experiment, we quantified soil microbial community structure, phospholipid fatty acid (PLFA)-derived carbon (C) sources tracing, ecoenzymatic stoichiometry, and foliar nutrient pools to test how tree diversity and mycorrhizal type control the linkage between soil microbial nutrient acquisition and foliar nutrient pools. We found that the tree mycorrhizal type exerted a dominant control on microbial community structure. AMF-associated tree mixtures (plots dominated by AMF tree species) were characterized by saprotrophic Ascomycota, which exhibited a higher contribution of root-derived C to fungal biomass, whereas EMF-associated mixtures were dominated by symbiotrophic Basidiomycota that relied more strongly on detritus-derived C. Ecoenzymatic strategies diverged consistently with these contrasting C acquisition pathways. AMF-associated soils exhibited higher C-acquiring enzyme activity and a greater vector length (an index of microbial C acquisition investment), indicating stronger microbial investment in C acquisition from soil organic matter. In contrast, EMF-associated soils exhibited lower vector angles (indicating relative microbial investment in nitrogen versus phosphorus acquisition) and significantly higher nitrogen (N)-acquiring enzyme activity, reflecting enhanced microbial N acquisition. Across all tree mixtures, fungal community composition was tightly linked to ecoenzymatic stoichiometry, and both were significantly associated with foliar N pools. Partial least squares path modelling revealed that mycorrhizal type influenced foliar N pools primarily through indirect pathways contributed by fungal community structure and microbial N-acquisition strategy. Together, these results demonstrate that mycorrhizal type governs how soil microbes channel C from the tree into N mobilization pathways, thereby regulating the strength of belowground–aboveground N coupling. Our findings reveal a mechanism by which mycorrhizal associations, rather than tree diversity alone, shape soil microbe–tree interactions in temperate forest ecosystems.

How to cite: Zhang, H., Wang, W., Bönisch, E., Yi, H., Ferlian, O., Beugnon, R., Dietrich, P., Proß, T., Seitz, S., Yang, X., Scholten, T., Eisenhauer, N., and Oelmann, Y.: Tree mycorrhizal type couples soil microbial N mobilization to foliar N pools, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11943, https://doi.org/10.5194/egusphere-egu26-11943, 2026.

EGU26-14662 | ECS | Orals | SSS4.7

The Role of AMF in Living Mulch Systems: The Potential for AMF as a Bridge in Root-Hyphae-Root Nitrogen Exchange 

Yihan Pu, Henrik Füllgrabe, Iris Maria Zimmermann, Jiangyuzhuo Wang, Juanjuan Ai, Yijie Shi, Sandra Spielvogel, and Michaela A. Dippold

Cover crops in farming systems are traditionally integrated into crop rotations to enhance root access to resources in top- and subsoils, particularly nutrients and water. Living mulch systems, functioning as cover crop, also referred to as strip-tillage systems, involve low-growing, often perennial, ground cover (like clover) beneath or between cash crop rows, creating a living soil cover during the growing season – a strategy to diversify crop management to agricultural polycultures. Living mulch systems not only improve soil structure at the physical level, but also create opportunities for diverse rhizosphere microbial interactions. However, current research provides only limited insight into the role of soil microorganisms in living mulch systems, particularly under field conditions where system complexity is substantially higher. Besides the implications of direct root-root or root-bacteria-root interactions, plants can also interact belowground via their mycorrhizal partners. As one of the most effective endosymbiotic fungi, arbuscular mycorrhizal fungi (AMF) are obligate symbionts that rely on carbon supply provided by their plant host in exchange to nutrients. As this symbiosis is often not species-specific, plant-plant interactions can occur via a shared hyphal network.

We evaluated how living mulch system with white clover affects AMF colonization in maize and hyphal network formation. We hypothesize that a living ground cover of white clover would enhance AMF abundance, diversity, and maize root colonization. To investigate the potential role of AMF in nitrogen exchange between white clover and the maize plants, we designed a sandwich-structured mesh tube system that allows control of AMF hyphae as the only way for isotopic nitrogen transport under field conditions. This setup enables testing whether 15N-labeled in the white clover can be transferred via the hyphal network of AMF to maize roots. By EA-IRMS we could quantify the one-directional 15N transfer from white clover to the maize via the hyphal pathway, an observation that was supported by using a combination of PLFA analysis, MBC and MBN measurements, and high-throughput Illumina sequencing. This provides clear evidence that AMF hyphae function as a bridging network facilitating connectivity and N transport between the two plant species of the living mulch system.

In conclusion, our study specifically investigated the role of AMF in living mulch systems, aiming to provide guidance for optimizing plant partner selection for this sustainable agricultural practice.

 

How to cite: Pu, Y., Füllgrabe, H., Zimmermann, I. M., Wang, J., Ai, J., Shi, Y., Spielvogel, S., and Dippold, M. A.: The Role of AMF in Living Mulch Systems: The Potential for AMF as a Bridge in Root-Hyphae-Root Nitrogen Exchange, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14662, https://doi.org/10.5194/egusphere-egu26-14662, 2026.

EGU26-14698 | ECS | Orals | SSS4.7

Tree diversity effects on soil multifunctionality differ across biomes and spatial scales 

Henriette Christel, Rémy Beugnon, Yuanyuan Huang, Benjamin Delory, Olga Ferlian, Hafeez Ul Haq, Tesfaye Wubet, Nico Eisenhauer, and Simone Cesarz

Forest biodiversity is widely assumed to enhance soil ecosystem functioning, yet empirical evidence remains inconsistent, partly due to the strong spatial heterogeneity and multiple interaction pathways linking plants and soil microorganisms. Ecosystem multifunctionality offers a useful framework to integrate these complex responses, but biodiversity effects may depend on scale as well as abiotic and biotic context. Here, we compare two forest biodiversity experiments conducted in contrasting biomes to assess how tree diversity, vegetation structure, and local fine-scale interactions shape soil microbial multifunctionality.

In a temperate forest biodiversity experiment (MyDiv), we investigated how tree species richness and mycorrhizal type (arbuscular vs. ectomycorrhizal) influence soil microbial functioning at the scale of individual trees and tree–tree interaction zones. Soil multifunctionality, derived from microbial biomass, respiration, enzyme activities, and aggregate stability, increased with tree species richness, particularly in ectomycorrhizal-associated plots. Importantly, positive biodiversity effects were spatially constrained to soils close to target trees and did not extend into interaction zones, highlighting the importance of localized root–microbe and mycorrhizal-mediated processes.

In contrast, a subtropical forest biodiversity experiment (BEF-China) examined the combined influence of tree species richness (up to 24 species), understory shrub presence, and shrub–tree interactions on soil microbial multifunctionality. Preliminary analyses indicate that soil multifunctionality and individual microbial functions are comparatively stable across gradients of tree species richness, suggesting a weaker or more buffered biodiversity effect under higher structural complexity and environmental heterogeneity.

Together, these experiments reveal that biodiversity–multifunctionality relationships are strongly context-dependent, varying across biomes, vegetation layers, and spatial scales. Our comparison suggests that localized plant–microbe interactions and mycorrhizal strategies may be key drivers of soil multifunctionality in simpler systems, whereas increasing community complexity may dampen detectable biodiversity effects. These findings underscore the need to integrate spatial scale and environmental context when assessing biodiversity–ecosystem functioning relationships.

How to cite: Christel, H., Beugnon, R., Huang, Y., Delory, B., Ferlian, O., Ul Haq, H., Wubet, T., Eisenhauer, N., and Cesarz, S.: Tree diversity effects on soil multifunctionality differ across biomes and spatial scales, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14698, https://doi.org/10.5194/egusphere-egu26-14698, 2026.

EGU26-16739 | Orals | SSS4.7

Using scanning electron microscopy and Raman spectroscopy to characterize heavy metal-containing compounds in soils around metal facilities from the Bronze Age to the present day 

Andrey Dolgikh, Vasiliy Shishkov, Yulia Konoplianikova, Anastasia Chuburina, Nikita Mergelov, and Elya Zazovskaya

Since the Bronze Age, heavy metals have been accumulating in soils at non-ferrous metal production sites, allowing these accumulations to be used in modern geoarchaeological research as evidence of metallurgical production and metalworking at archaeological settlements. Soils in cities where modern metallurgical plants are located have been actively studied to assess the accumulation and transformation of heavy metal compounds, evaluate soil health, and determine the impact on urban and surrounding native ecosystems. Based on the example of Bronze Age archaeological sites, where metallurgical enterprises were small and had been inactive for several thousand years, especially if the settlement ceased to exist after that, it can be assumed that concentrations decrease, especially when this is facilitated by hydromorphic conditions with acidic pH, when many heavy metals remain mobile. However, the duration of heavy metal persistence in soils and their chemical forms remains unclear. Scanning electron microscopy (SEM) allows, in some cases, to identify individual areas of heavy metal accumulation (Cu, Zn, Ni, Pb, Co) at the submicron level. In the case of soils exposed to the influence of a modern large copper-nickel metallurgical plant in the city of Monchegorsk (Murmansk region, Russia, Kola Arctic), individual metal and slag particles ranging in size from 1 to several tens of micrometers of mono- and poly-element composition were identified at the submicron level. Raman spectroscopy has revealed a variety of chemical compounds that contain nickel, copper, and zinc. High concentrations of copper and zinc, similar to those found in medieval cultural layers with archaeological traces of metallurgical production in the nearest large city of Rostov Veliky, were found in the soils of a Bronze Age settlement (Pesochnoe-1 settlement, Textile ceramic archaeological culture, 14C age – 2100–1800 cal BC, Yaroslavl’ region, central part of European Russia). Using SEM, it was possible to identify anomalous zones of Cu and Zn accumulation in burnt, finely dispersed animal bones (within the first micrometers) used as fuel for metalworking. Even in humid conditions, high concentrations were preserved in these soils with cultural layers due to the abundance of calcium phosphate (small fragments of animal bones, including burnt ones, more than 10% of the total mass).

How to cite: Dolgikh, A., Shishkov, V., Konoplianikova, Y., Chuburina, A., Mergelov, N., and Zazovskaya, E.: Using scanning electron microscopy and Raman spectroscopy to characterize heavy metal-containing compounds in soils around metal facilities from the Bronze Age to the present day, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16739, https://doi.org/10.5194/egusphere-egu26-16739, 2026.

EGU26-17339 | Orals | SSS4.7

A beneficial fungus uses glucose concentrations to balance cellulase production and to recognize living plants, which accelerate fungal development 

Monika Schmoll, Wolfgang Hinterdobler, Guofen Li, David Turra, Miriam Schalamun, Stefanie Kindel, Ursula Sauer, Sabrina Beier, Aroa Rodriguez-Iglesias, Stephane Compant, Stefania Vitale, and Antonio Di Pietro

Fungi are among the most important degraders of dead plant materials and hence fuel the global carbon cycle. Production of the enzymes required for plant cell wall degradation is tightly regulated in fungi by environmental conditions including nutrient quality and quantity, temperature, pH and light. This sophisticated regulation indicates that the energy intensive production of enzymes is optimized to fulfil the needs of the fungus but to minimize excess and avoid feeding of so-called “exploiter-“ or “cheater-“microbes.

We therefore asked how fungi sense degradable material and discriminate to root exudates or living tissue of plants to balance enzyme production with available resources. With the filamentous saprophyte Trichoderma reesei we identified two cell-surface receptors (CSG1 and CSG2), which are distinct from previously identified glucose sensors. T. reesei uses detection of a precise amount of glucose, but not other sugars released from plant materials, by these receptors as a proxy for cellulosic material to initiate translation of cellulases. Also special attachment structures formed by T. reesei on natural plant material are missing in the absence of CSG1 or CSG2. Moreover, CSG1 and CSG2 are required for colonization of plant roots and hence these receptors – as well as glucose - play an important role for fungus-plant interaction.

As pheromone receptors were shown in Fusarium as important for plant sensing, we were interested in a potential crosstalk between glucose- and pheromone- sensing. Although CSG1 and CSG2 are dispensible for sexual development, fruiting body formation of T. reesei is accelerated in the presence of plant roots.

We conclude that T. reesei senses extracellular glucose concentrations to discriminate between degradable plant material (liberated glucose amount correlating with enzymes secreted) and the presence of a plant (secreted glucose not correlating with enzymes secreted). Upon interaction of plant roots with T. reesei fruiting bodies, the fungus recognized also the living plant as carbon source, but did not harm growth. Hence the benefit of detecting a plant can be interpreted as one reason for accelerated sexual development by the fungus to improve its interaction with the nourishing plant.

How to cite: Schmoll, M., Hinterdobler, W., Li, G., Turra, D., Schalamun, M., Kindel, S., Sauer, U., Beier, S., Rodriguez-Iglesias, A., Compant, S., Vitale, S., and Di Pietro, A.: A beneficial fungus uses glucose concentrations to balance cellulase production and to recognize living plants, which accelerate fungal development, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17339, https://doi.org/10.5194/egusphere-egu26-17339, 2026.

EGU26-17403 | Orals | SSS4.7

Small tree patches enhance soil carbon stabilization in pastoral landscapes 

Kara Allen, Ziva Louisson, Sam McNally, Kate Orwin, Dan Richards, Manpreet Dhami, Scott Graham, David Whitehead, and Edward Brzostek

Small tree patches (<1 ha) embedded within pastoral landscapes can enhance soil carbon (C) storage, yet these gains remain poorly represented in soil C decomposition models that assume spatially uniform plant inputs and microbial processes. Sharp vegetation boundaries at tree-pasture edges generate strong gradients in rooting, litter quality, and microbial activity over short distances, with important implications for soil C stabilization that uniform models fail to capture. Using Aotearoa New Zealand as a model system, where pastoral landscapes are widespread and small tree patches are common features, we quantified plant inputs, microbial community composition and function, and soil processes across established tree-pasture boundaries to inform a microbially explicit soil C decomposition model. Tree-pasture edges exhibited elevated root biomass and lower leaf litter C:N ratios, indicating greater belowground C allocation and higher-quality organic inputs, while rhizosphere extracellular enzyme activity tended to be lower. Shotgun metagenomic analyses revealed a shift from microbial communities in forest soils characterized by greater investment in resource acquisition to microbial communities in grassland soils prioritizing faster growth and resource use, with edge communities displaying intermediate functional profiles. Together, these patterns suggest that tree-pasture edges function as biogeochemical ecotones, where increased root inputs and reduced enzyme investment are consistent with a shift toward microbial utilization of root-derived substrates rather than enzyme-mediated decomposition of more complex organic matter. To examine whether these rhizosphere-associated mechanisms could account for observed soil C gains beneath small tree patches, we refined a microbially explicit soil C decomposition model (FUN-CORPSE) to represent edge-driven root-microbe interactions. Simulations of small tree patch establishment in long-term pasture systems produced higher soil C stocks than pasture alone, with spatially explicit root inputs associated with increased soil C protection beneath tree-pasture edges. These findings highlight small tree patches as important landscape features with the potential to enhance soil C stabilization and contribute meaningfully to climate mitigation in pastoral systems.

How to cite: Allen, K., Louisson, Z., McNally, S., Orwin, K., Richards, D., Dhami, M., Graham, S., Whitehead, D., and Brzostek, E.: Small tree patches enhance soil carbon stabilization in pastoral landscapes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17403, https://doi.org/10.5194/egusphere-egu26-17403, 2026.

EGU26-19876 | ECS | Posters on site | SSS4.7

Plant Legacy Effects Shape Rhizosphere Microbial Diversity, Function, and Organic Nitrogen Dynamics 

Guoting Shen, Luis Daniel Prada Salcedo, Qicheng Bei, Andrey Guber, and Evgenia Blagodatskaya

The organic form of nitrogen (N) is a critical intermediate shaping mutualistic and competitive interactions between plant roots and soil microorganisms in the rhizosphere. Yet, the spatial dynamics of nutrient cycling and microbial community assembly in legacy-affected soils remain poorly understood. In this study, we used visualization approaches to localize hotspots of organic N and associated enzymatic activity in soils influenced by plant legacy effects, and we analyzed the microbial communities associated with these hotspots. Our results showed that plant N content and rhizosphere organic N declined after one generation of plant growth. These reductions were accompanied by increased soil microbial diversity and a community shift from copiotrophic to oligotrophic dominance. The abundance of beneficial microorganisms was higher in the newly-growth roots, while soil-borne plant pathogen increased in the legacy-affect soil. Furthermore, genes abundance of N-related transporter and urease were detected exclusively in the rhizosphere of developed seminal roots in the legacy-affect soil, highlighting functional specialization in response to plant-driven soil modifications. These findings suggest that plant legacy effects can restructure rhizosphere nutrient distribution and microbial communities in ways that influence nutrient availability, root health, and plant-soil feedbacks. Understanding these spatially explicit interactions can improve predictions of plant resilience under nutrient-limited conditions and guide strategies to harness beneficial microorganisms for sustainable nutrient management.

How to cite: Shen, G., Daniel Prada Salcedo, L., Bei, Q., Guber, A., and Blagodatskaya, E.: Plant Legacy Effects Shape Rhizosphere Microbial Diversity, Function, and Organic Nitrogen Dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19876, https://doi.org/10.5194/egusphere-egu26-19876, 2026.

EGU26-20148 | ECS | Posters on site | SSS4.7

Study of microbial diversity associated to Pistacia lentiscus, a metallophyte of Sardinian mining areas 

Melinda Mandaresu, Francesco Vitali, Stefano Mocali, Alessandra Carucci, Giovanna Cappai, and Elena Tamburini

Mine tailings represent a large-scale issue requiring the development of a sustainable remediation management plan with a multifactorial approach. In the Iglesiente region, past mining activities left severe contamination of Zn, Pb and Cd. Among bioremediation technologies, phytoremediation appears to be a promising strategy owing to the use of autochthonous plant species and their associated microorganisms naturally adapted to these harsh conditions. Among phytoremediation strategies, phytostabilization takes place at the root-substrate interface, where excluder-type metallophytes and their root-associated microorganisms reduce metal mobility and bioavailability. The effectiveness of this process largely depends on the structure and function of the rhizospheric microbiome. Therefore, the study of microbiome in rhizosphere and roots of native plants is crucial for the development of a successful remediation strategy. In this study, we investigated the rhizosphere and root microbiomes of Pistacia lentiscus, a metallophyte autochthonous plant species of Sardinian mining areas. Furthermore, the environmental context was analysed with a multifactorial approach to understand the most suitable application of phytoremediation in real field conditions. Sampling was conducted in three zones based on proximity to a mine tailing deposit: outside, at the border, and inside the dump. A comprehensive insight into soil communities was achieved by using diverse techniques. In this study we analysed: i) physico-chemical properties of mine substrates, ii) microbial activity by the dehydrogenase assay, iii) functional diversity patterns of microbial community with the BIOLOG system, iv) bacterial and fungal communities by high-throughput sequencing of ribosomal genes. Metals levels in the tailings showed a certain degree of spatial heterogeneity. Dehydrogenase activity showed a marked and statistically significant differences in the functional diversity of the rhizospheric microbial communities from the three different investigated areas. Analysis of microbial community by high-throughput sequencing allow us to understand how microbial communities were affected by environmental conditions and metals. Our results highlight the importance of plant-associated microbiomes in metal-contaminated environments and support their relevance for site-specific remediation strategies. This work has been developed within the framework of the project e.INS www.einsardinia.eu (Next Generation EU- PNRR-M4 C2 I1.5 CUP F53C22000430001).

How to cite: Mandaresu, M., Vitali, F., Mocali, S., Carucci, A., Cappai, G., and Tamburini, E.: Study of microbial diversity associated to Pistacia lentiscus, a metallophyte of Sardinian mining areas, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20148, https://doi.org/10.5194/egusphere-egu26-20148, 2026.

EGU26-20464 | Posters on site | SSS4.7

Carbon sequestration-related eco-indicators in long-term field trials 

Evgenia Blagodatskaya, Shang Wang, and Ines Merbach

The sensitivity of biodiversity and ecosystem functions to climate and land-use changes needs to be estimated by the set of eco-indicators linking physical and biochemical properties of the soil matrix with microbial functional traits and C transformation processes.

We tested reliability of two basic eco-indicators to capture the complexity of soil processes across scales: i) metabolic quotient (qCO2), i.e. the ratio of respiration-to-microbial biomass and ii) the ratio of microbial biomass-to-soil C content (MBC/SOC). The sensitivity of these eco-indicators was evaluated across different experimental treatments of long-term field experiments within the same geographical site at agricultural station in Bad Lauchstädt, Germany. Both qCO2 and MBC/SOC provided complementary information and were sensitive to land use, fertilization and climate at the field scale. Among the land-use tested, an extensive meadow demonstrated most promising response to the future climate conditions. We will also discuss an ability of the set of these coupled indexes (qCO2 and MBC/SOC) to mirror the carbon sequestration potential in agricultural soils.

How to cite: Blagodatskaya, E., Wang, S., and Merbach, I.: Carbon sequestration-related eco-indicators in long-term field trials, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20464, https://doi.org/10.5194/egusphere-egu26-20464, 2026.

EGU26-20876 | ECS | Orals | SSS4.7

Effects of eucalypt plantation abandonment on functional diversity of vegetation and soil microbiota in a mediterranean region 

José Pablo Viniegra Villanueva, Luis Merino Martín, and Elena Granda Fernández

Eucalypt tree plantations have been identified as important drivers of land use change and biodiversity loss. In the Mediterranean basin, the abandonment of these forest stands is leading to a natural decay of the plantations, triggering a process of secondary succession. Despite the apparent recovery of these stands, there is not enough evidence to claim that passive restoration alone is sufficient to restore ecosystem functioning, particularly regarding the interactions between plants and soil microorganisms, which are fundamental for forest processes. This study evaluates the compositional and functional recovery of woody plant communities and the recovery of soil microbial activity and function along an abandonment gradient of eucalypt plantations including managed plantations, recently abandoned plantations, long-abandoned plantations, and native Quercus suber forests as reference ecosystems. We analyzed shrub and tree taxonomic and functional diversity based on resource acquisition traits and symbiotic associations (e.g. mycorrhizal type), alongside soil microbial activity and microbial functional diversity to evaluate biodiversity and ecosystem function recovery. We further assessed the relationship between these parameters. Results indicate that tree taxonomic diversity peaked in long-abandoned plantations, shrub taxonomic diversity remained constant along the gradient, and shrub functional diversity decreased in long-abandoned plantations. Soil microbial activity was suppressed in managed plantations, and soil microbial diversity was highest in long-abandoned stands. A negative correlation between shrub and microbial functional diversity was observed, which was mitigated when the relative abundance of ectomycorrhizal host shrubs was high. Our findings suggest that in this nutrient-limited and highly disturbed Mediterranean context, the coexistence of high shrub and soil microbial functional diversity is constrained by resource competition, unless nitrogen dynamics are mediated by ectomycorrhizal fungi. Furthermore, the results indicate that shrub community assembly shows high variability in the traits driving microbial functional diversity, and consequently microbial functional recovery is not guaranteed through passive restoration alone. Therefore, restoration actions should focus on steering shrub communities towards compositions that support high microbial functional diversity, specifically targeting ectomycorrhizal hosts and nitrogen fixers, to re-establish top-down and bottom-up plant-soil feedbacks.

How to cite: Viniegra Villanueva, J. P., Merino Martín, L., and Granda Fernández, E.: Effects of eucalypt plantation abandonment on functional diversity of vegetation and soil microbiota in a mediterranean region, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20876, https://doi.org/10.5194/egusphere-egu26-20876, 2026.

EGU26-21009 | Orals | SSS4.7

Functional and taxonomic characterization of soil microbial communities associated with tolerance to Xylella fastidiosa in olive trees 

Francesco Vitali, Giuseppe Valboa, Sara Del Duca, Antonia Esposito, Stefano Mocali, and Arturo Fabiani

Xylella fastidiosa (Xf) represents one of the most severe threats to olive cultivation in the Mediterranean basin, causing extensive tree decline and major economic and ecological losses. Although olive cultivars showing tolerance or resistance to Xf have been identified, the biological mechanisms underlying these traits remain poorly understood. In this context, the Italian Ministry of Agriculture, Food Sovereignty and Forests (MASAF) funded, among other initiatives, the NOVIXGEN project, aimed at developing a coordinated strategy to combat Xf through a multidisciplinary approach. One of the main objectives of the project is the monitoring, selection, and characterization of olive genetic material with potential resistance or tolerance traits to Xf, together with the investigation of host–pathogen interaction mechanisms in infected areas of the Apulia region. In addition, plants, like other organisms, are now regarded as one with their associated microbiota, forming holobionts rather than isolated genomic entities. Accordingly, the study of soil microbiota may shed light on the mechanisms underlying the acquisition of resistance or tolerance traits to Xf in olive trees. This study aimed to characterize the functional activity and taxonomic composition of soil microbial communities associated with tolerant and non-tolerant olive cultivars.

Soil samples were collected from the root zones of tolerant and non-tolerant olive trees belonging to different cultivars (i.e. Leccino, Frantoio, Cellina di Nardò, Ogliarola, Pendolino, Nociara, and Cima di Melfi) across infected areas of the Apulia region. The activity of soil microbiota was assessed by community-level physiological profiling (CLPP) using ECOPLATE (BIOLOG), while the community diversity and composition was assessed using a targeted metagenomic sequencing for the bacteria (V3-V4 of 16S) and fungi (ITS2) communities using MiSeq sequencing (ILLUMINA).

By combining functional and taxonomic aspects of soil microbial communities, we aim to identify microbial features potentially associated with olive tolerance to Xylella fastidiosa, providing a framework for future investigations on plant–microbiome interactions in Xf-infected agroecosystems.

How to cite: Vitali, F., Valboa, G., Del Duca, S., Esposito, A., Mocali, S., and Fabiani, A.: Functional and taxonomic characterization of soil microbial communities associated with tolerance to Xylella fastidiosa in olive trees, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21009, https://doi.org/10.5194/egusphere-egu26-21009, 2026.

EGU26-21453 | Orals | SSS4.7

Effects of phosphorus fertilizer type on rhizosphere microbial activity and plant phosphorus acquisition 

Ran Erel, Doron Shabtai, Adi Kushmaro Biera, Ishai Nahari, Irene Mutakale, and Natalie Toren

Low phosphorus (P) fertilizer utilization efficiency remains a major constraint in calcareous and semi-arid soils due to rapid sorption and precipitation of orthophosphate (orthoP). Polyphosphate (polyP) fertilizers have been proposed as an alternative P source, yet their interactions with rhizosphere microorganisms and the implications for plant P acquisition are still insufficiently understood.

Here, we investigated how P fertilizer type (orthoP vs. polyP) influence rhizosphere microbial activity, enzymatic processes, and plant P uptake. Field and pot experiments were conducted under low initial soil P conditions (Olsen P ≈ 8 mg kg⁻¹), combining crop performance measurements with analyses of arbuscular mycorrhizal fungi (AMF), phosphate-solubilizing and polyphosphate-hydrolyzing bacteria, and rhizosphere phosphatase activity.

PolyP fertilization consistently altered rhizosphere biological activity compared with orthoP. PolyP treatments increased the abundance and activity of phosphate-solubilizing and polyphosphate-hydrolyzing bacteria, which were able to utilize polyP as a sole P source. PolyP hydrolysis by bacteria was not directly associated with bulk pH changes, indicating enzymatic rather than purely chemical control. In parallel, polyP enhanced AMF colonization in both field-grown wheat and pot-grown tomato, suggesting improved biological P acquisition pathways. Acid and alkaline phosphatase activities in the rhizosphere were generally higher under polyP fertilization, reflecting enhanced microbial and plant-driven P mobilization.

These results demonstrate that P fertilizer type strongly regulates rhizosphere microbial communities and enzymatic activity, with polyP promoting biologically mediated P transformation and uptake. Our findings highlight the importance of considering soil–plant–microbe interactions when evaluating alternative P fertilizers and developing strategies to improve P use efficiency in calcareous soils.

How to cite: Erel, R., Shabtai, D., Kushmaro Biera, A., Nahari, I., Mutakale, I., and Toren, N.: Effects of phosphorus fertilizer type on rhizosphere microbial activity and plant phosphorus acquisition, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21453, https://doi.org/10.5194/egusphere-egu26-21453, 2026.

EGU26-21640 | ECS | Orals | SSS4.7

Exploring the Effects of Biological Nitrification Inhibition on the Rhizosphere Microbiome of a BNI-enabled Winter Wheat 

Marina Montserrat Diez, Tadashi Yoshihashi, Guntur Subbarao Ventaka, Eleftheria Bachtsevani, Dimitrios Karpouzas, Christina Hazard, Melina Kerou, and Christa Schleper

Biological Nitrification Inhibitors (BNIs) are compounds naturally produced by plants to block the nitrification process in the soils. BNIs have been proposed as a potentially safe and effective strategy to increase the nitrogen use efficiency of crops while mitigating the environmental damage derived from overfertilization, namely nitrous oxide emissions and nitrate leaching. 

In this study, we investigate the influence of a BNI-enabled winter wheat line on the rhizosphere microbiome compared to its isogenic non-BNI counterpart. We conducted a longitudinal field trial during which rhizosphere samples were collected at different timepoints throughout the vegetative growth phase of the crops, to capture potential shifts in the BNI production, as well as changes in the climatic conditions and the temporal dynamics of the microbial community. Given that ammonia oxidation represents the first and often rate-limiting step of nitrification, we focused on ammonia-oxidizing microorganisms by quantifying the abundance and transcriptional activity of the amoA gene using qPCR and RT-qPCR, to assess the impact of the BNI-wheat on nitrifying microorganisms. To evaluate broader microbial responses and ensure no adverse effects on non-nitrifying key microbial groups, we also characterized the overall microbial community with amplicon sequencing, using specific marker genes to target the prokaryotic, total fungal, arbuscular mycorrhizal and protist communities. This work aims to evaluate the efficacy and safety of a BNI-enabled wheat under similar conditions to a modern intensified agricultural setting.

How to cite: Montserrat Diez, M., Yoshihashi, T., Subbarao Ventaka, G., Bachtsevani, E., Karpouzas, D., Hazard, C., Kerou, M., and Schleper, C.: Exploring the Effects of Biological Nitrification Inhibition on the Rhizosphere Microbiome of a BNI-enabled Winter Wheat, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21640, https://doi.org/10.5194/egusphere-egu26-21640, 2026.

Soil microorganisms play a central role in terrestrial carbon (C) cycling, yet our mechanistic understanding of how environmental change alters their functioning remains limited. In a world increasingly affected by climate variability, drought and subsequent rewetting events, and the resistance and resilience of microbial functions to them, are particularly important. Rewetting of dry soils triggers a strong biogeochemical response, characterized by a large pulse of microbial CO2 emissions (the Birch effect) and a progressive recovery of microbial growth. The magnitude and temporal dynamics of these responses provide valuable information on microbial community functioning and have important implications for soil C dynamics. Recent studies indicate that climatic history shapes microbial resistance and resilience through ecological memory: communities frequently exposed to drying-rewetting cycles tend to recover growth more rapidly and exhibit sharper respiration peaks, whereas less adapted communities show delayed growth recovery and prolonged and more complex respiration responses. However, how plants modulate microbial perception of drought-rewetting events and provide the resources that enable microbial adaptation and response remains poorly understood.

We analysed how plant diversity and root length influence microbial growth, respiration, and carbon-use efficiency during drought-rewetting events across the soil vertical profile (at different depths). We used complementary experimental settings including gradients of plant species richness (1-60 species and different plant functional groups) and a comparison between wheat and kernza; a conventional annual crop versus a deep-rooted perennial capable of reaching depths of up to 2.5 m. Our results highlight the importance of plants in modulating microbial responses to drought, with the potential to enhance microbial performance and to strengthen soil C sequestration. Higher plant diversity positively affected microbial resistance and resilience, likely by increasing the availability of high-quality C that supports microbial stress tolerance strategies. Longer root systems promoted greater microbial biomass and C cycling at depth, with a tendency towards increased resistance and resilience. The effects on long-term soil C storage remained uncertain as enhanced microbial activity at deep layers may increase the accumulation of persistent organic matter through microbial necromass formation, but also stimulate soil organic matter decomposition via priming.

How to cite: C. Brangarí, A.: Plant diversity and root depth modulate microbial resistance and resilience to drought, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22053, https://doi.org/10.5194/egusphere-egu26-22053, 2026.

EGU26-1410 | Posters on site | BG3.29

A robust CWM-PCA for evaluating chemospace of metabolome of root exudates across 9 tropical species 

Lijuan Sun, Jingjing Wang, Xin Wang, Fanbin Zeng, Shangwen Xia, and Xinyao Yang

Root exudate is comprised of complex compounds which have multiple function for plant performance and plant-soil interactions. Although the carbon fluxes of root exudates is considered as an important trait towards the fast-slow growing axis in the multidimensional root economics space, the complexity of the metabolome in root exudates is not well evaluated. Here, we present a community-weighted PCA for species chemospace. Compounds are aggregated to species with two weightings: presence (detection proportion) and relative (softmax of logabundance). Isomer candidates are pooled using Dirichlet priors (A1 symmetric; A2 similarityweighted). Dimensions are selected by Horn's parallel analysis, and robustness is assessed with leave-one-out principal angles. Of 22 descriptors, nine were near-constant or missing and were excluded. Variance concentrated in two components: presence 55.7% and 28.4%; relative 75.8% and 15.5%; both PCs exceeded the 95th percentile noise envelope. The PC1 and PC2 subspace was stable (mean cosine 0.993 to 0.994; largest deletion about 22 degrees), and A1 and A2 produced nearly identical subspaces. PC1 reflected hydrophobicity versus polarity and hydrogen bonding (higher LogP/LogD, lower H-bond acceptors/donors and polar surface area). PC2 captured adsorption and bioconcentration together with molecular flexibility and optical proxies (higher KOC and BCF, more freely rotating bonds, higher refractive index). Relative weighting is recommended as primary; presence serves as a concordant robustness check.

How to cite: Sun, L., Wang, J., Wang, X., Zeng, F., Xia, S., and Yang, X.: A robust CWM-PCA for evaluating chemospace of metabolome of root exudates across 9 tropical species, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1410, https://doi.org/10.5194/egusphere-egu26-1410, 2026.

EGU26-2096 | ECS | Posters on site | BG3.29

Technical note: Methodological choices influence root carbon exudation measurements 

Melanie Brunn, Sophie Obersteiner, and Tamir Klein

Root exudation is a significant pathway for belowground carbon (C) allocation in forest ecosystems, with profound implications for soil processes, nutrient cycling, and overall ecosystem functioning. Despite its importance, quantifying root exudation from mature trees in situ remains technically challenging, and methodological inconsistencies among studies hinder the synthesis and upscaling of findings. Here, we evaluated how variations in commonly used exudate collection protocols influence measured C fluxes. Specifically, we tested the effects of root resting, trap moisture, and trap solution composition on exudation rates in two contrasting ecosystems: a temperate forest in Germany and a Mediterranean forest in Israel. By incorporating both inter- and intraspecific root combinations, we also accounted for potential species-interaction effects.

Our results highlight several methodological sensitivities. Omitting root resting can streamline sampling. Moisture conditions within cuvettes strongly affect flux estimates, with saturated traps yielding higher values than moist traps. Exudation responses were further influenced by soil phosphorus availability in the trap solutions, with elevated root C exudation under P-deficiency.

Together, these findings emphasize that methodological variation can substantially alter root exudation C flux rates. We conclude that while some streamlining of protocols is feasible, careful attention to incubation procedures and the use of second flush samples yield more reliable results. Standardized approaches- or, at a minimum, transparent and detailed reporting - are essential to improve comparability across studies. Addressing these methodological challenges will allow more accurate quantification of root exudation, strengthen its integration into terrestrial C models, and ultimately refine our understanding of belowground C allocation under global change.

 

How to cite: Brunn, M., Obersteiner, S., and Klein, T.: Technical note: Methodological choices influence root carbon exudation measurements, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2096, https://doi.org/10.5194/egusphere-egu26-2096, 2026.

EGU26-2616 | Posters on site | BG3.29

Root-root communication within Solanaceae and its effects on root exudate composition 

Shimon Rachmilevitch and Aye Nyein Ko

The ability of plants to distinguish between self and non-self roots significantly influences competitive dynamics and resource allocation. However, the mechanisms underlying these discriminatory responses remain largely elusive. This study investigated the responses of cherry tomato (Solanum lycopersicum L.) and bell pepper (Capsicum annuum L.) grown as self by using a polypropylene separator for the roots (C, B) and in non-self-pairings, without a separator (CC, BB and CB) in a semi-commercial greenhouse experiment. Root respiration increased in non-self-pairings and awas highest in low degrees of relatedness pairings (L-DOR). Cherry tomato exhibited enhanced morphology, physiology, fruit quality, and quantity, and root thickening when paired with bell pepper, whereas bell pepper showed reductions in these parameters. Root exudate carbon and nitrogen concentrations were highest in non-self-combinations and highest in CB pairings. Distinct metabolic profiles were observed in root exudates and root tissues depending on the existence and identity of the neighbor. Upregulation of TCA cycle intermediates, specifically citric acid, was associated with enhanced root respiration in L-DOR pairing, suggesting a metabolic cost associated with neighbor recognition. Auxin analogue indole-3-lactic acid was significantly upregulated in cherry tomato when paired with bell pepper, coinciding with improved morphological traits, while being downregulated in bell pepper under the same conditions. Amino acid profiles further differed between species in L-DOR pairings, reflecting species-specific metabolic regulation. These findings suggest that exudate composition may serve as a specific communication language between individuals that can change in response to the existence and identity of a neighbor.

How to cite: Rachmilevitch, S. and Nyein Ko, A.: Root-root communication within Solanaceae and its effects on root exudate composition, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2616, https://doi.org/10.5194/egusphere-egu26-2616, 2026.

Transitioning from monocultures to mixed-species plantations is a key strategy for enhancing soil organic carbon (SOC) sequestration. However, the specific mechanisms by which tree species interactions, particularly through root exudation and morphological traits, shape rhizosphere SOC stability remain poorly understood. This study investigated the effects of introducing broad-leaf species into coniferous plantations on rhizosphere SOC dynamics.

We examined a near-mature Pinus massoniana monoculture and two paired plantations interplanted with Erythrophleum fordii (a nitrogen-fixing species) and Castanopsis hystrix. We quantified root exudation rates, root morphological traits, microbial biomass carbon, and rhizosphere physicochemical properties to identify the controlling factors of SOC stability.

Our results revealed divergent stabilization pathways depending on the companion species. Interplanting with C. hystrix significantly stimulated the root exudation of P. massoniana. This increase in exudates was positively correlated with the mass proportion and carbon content of both large and small macro-aggregates, suggesting that exudate-mediated physical protection is the primary driver of SOC stability in this mixture. Conversely, interplanting with the N-fixing E. fordii did not significantly alter root exudation rates or their relationship with aggregation. Instead, SOC stability in the P. massoniana rhizosphere was primarily attributed to increased nitrogen availability.

Our findings highlight that root exudates play a conditional role in SOC stabilization, heavily dependent on the identity of neighbor species. We conclude that selecting appropriate companion species is critical for managing specific SOC sequestration pathways in mixed-species plantations.

How to cite: Xia, Q.: Divergent pathways of rhizosphere SOC stabilization in mixed-species plantations: The role of root exudates versus nitrogen availability, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2909, https://doi.org/10.5194/egusphere-egu26-2909, 2026.

EGU26-3516 | ECS | Posters on site | BG3.29

Soil and genotype-driven root exudation patterns in barley, faba bean, potato, and sweet potato 

Henning Schwalm, Carmen Escudero-Martinez, Molly Brown, Lawrie Brown, David Roberts, Susan M Mitchell, Ignacio Romero Lozano, Natacha Bodenhausen, Davide Bulgarelli, Kelly Houston, Timothy S George, and Eva Oburger

Root exudates play a central role in rhizosphere processes, many of which support plant growth. While increased exudation under abiotic stresses has been frequently linked to enhanced plant resilience, crop- and genotype- and soil-specific exudation patterns under non-stress conditions remain poorly understood. This study aimed to assess how soil type and genotype influence quantity and quality of root exudation in major and emerging European crops and to explore how root morphology and plant growth are related to exudation.

Four genotypes each of barley (Hordeum vulgare), faba bean (Vicia faba), potato (Solanum tuberosum), and sweet potato (Ipomoea batatas (L.) Lam.) were grown in three distinct European soils under non-stress conditions. Exudates were collected using a soil–hydroponic hybrid approach and analysed for dissolved organic carbon and nitrogen, total carbohydrates, amino acids, and phenolic compounds. In addition, broader exudation patterns were explored using non-targeted analytical approaches. Shoot and root samples were collected for the analysis of biomass and root morphology to examine correlations with exudation patterns.

Results showed that soil type and genotype affected exudation patterns, but their influence varied by crop. Plant growth was negatively correlated with exudation rates across most crops, likely reflecting a trade-off in carbon and nitrogen allocation between biomass accumulation and rhizodeposition. Root morphological traits partly correlated with root exudation rates, but no universal relationships were detected across crops.

Our results provide novel insights into belowground resource partitioning and broaden the understanding of soil and genotype-specific exudation patterns to previously underexplored crops, thereby improving our knowledge of mechanisms driving exudation dynamics.

How to cite: Schwalm, H., Escudero-Martinez, C., Brown, M., Brown, L., Roberts, D., Mitchell, S. M., Lozano, I. R., Bodenhausen, N., Bulgarelli, D., Houston, K., George, T. S., and Oburger, E.: Soil and genotype-driven root exudation patterns in barley, faba bean, potato, and sweet potato, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3516, https://doi.org/10.5194/egusphere-egu26-3516, 2026.

EGU26-4498 | ECS | Posters on site | BG3.29

Beyond the Root: Linking Economics Space, Symbiosis and Exudation in Phosphorus-Stressed Eucalyptus Species 

Zhe Zhang, Kosala Ranathunge, Duccio Migliorini, Felipe Albornoz, and Hans Lambers

Plant roots exhibit coordinated suites of functional traits that reflect different strategies for nutrient acquisition, commonly described along the root economics space (RES). In phosphorus (P)-limited systems, plants may rely on contrasting pathways for P acquisition, including fine-root proliferation, root exudation, and mycorrhizal symbioses. However, how these strategies are coordinated across genotypes within a single tree genus remains poorly understood.

Here, we investigate root economic traits, mycorrhizal colonization, and root-associated metabolites in twelve eucalypt species grown under controlled low-P conditions. We quantify key root morphological traits (e.g. root diameter, specific root length), mycorrhizal (AM and ECM) colonization, extraradical hyphal development, and the composition of root exudates, with a particular focus on organic acids and phenolic compounds.

Preliminary analyses indicate pronounced interspecific variation in root traits and associated P-acquisition strategies across eucalypt species. Trait coordination patterns suggest potential trade-offs between root morphological investment, symbiotic associations, and metabolic pathways involved in P mobilization. In particular, variation in root diameter appears to be associated with shifts in the relative reliance on root-based versus mycorrhiza-mediated strategies for P acquisition, although the strength and consistency of these relationships are still being evaluated.

Overall, this study aims to provide a trait-based framework for understanding how woody plant species coordinate alternative P-acquisition pathways under nutrient limitation. By integrating root economics, symbiotic interactions, and root metabolic traits, our work contributes to a more mechanistic understanding of belowground resource foraging strategies in forest ecosystems.

How to cite: Zhang, Z., Ranathunge, K., Migliorini, D., Albornoz, F., and Lambers, H.: Beyond the Root: Linking Economics Space, Symbiosis and Exudation in Phosphorus-Stressed Eucalyptus Species, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4498, https://doi.org/10.5194/egusphere-egu26-4498, 2026.

EGU26-6538 | ECS | Posters on site | BG3.29

Contrasting belowground strategies of maize varieties under combined water and phosphorus deficiency: the role of root exudation.  

Anaclara Visconti, Sizhong Yang, Johanna Pausch, Andreas J. Wild, Steffen Kolb, Valerie Pusch, Mirriam C. Chibesa, Mohammad-Reza Hajirezaei, and Maire Holz

Although many temperate agricultural soils contain substantial P, most of this P is unavailable to plants, and its mobility is further restricted by drought. Root exudation contributes to drought tolerance and P mobilization and is considered to play a major role in soil resource acquisition strategies in crops. Its position, however, within the root economics space (RES) remains contradictory. We assessed differences between maize landraces and modern cultivars in root economic strategies, plasticity under combined water and phosphorus deficiency, and the consequences for plant performance. We investigated root and rhizosphere responses of six maize varieties (three landraces, three modern hybrids) grown in a controlled pot experiment under combined water and P limitation. Pots were assigned four treatments: well-watered (20% Water content (WC)) and water-stressed (8% WC) condition, combined with high (47.97 mg P kg-1) or low (23.3 mg P kg-1) P. After four weeks of growth, water-stressed plants underwent a two-week drought period, adjusting to 8% WC after one week, while well-watered plants continued to grow under optimally watered conditions. Root traits were assessed through root scanning and dry biomass measurements. Root exudates were collected using a soil-hydroponic hybrid method and analysed for dissolved organic carbon, sugars, organic acids, carboxylates and phenolics. Soil DNA was analysed for its bacterial and fungal composition. We found that landraces followed a “do-it-yourself” RES strategy, whereas modern varieties adopted an “outsourcing” strategy that was associated with increased root exudation. Water availability drove rapid plastic responses in root exudation, with the strongest response under combined deficiency. In contrast, morphological root traits were driven by P, rather than water. Under combined deficiency, landraces maintained higher P use efficiency while moderns exhibited greater P acquisition efficiency. These findings demonstrate that contrasting root economic strategies of different maize varieties shaped the performance under combined P and water stress.

 

How to cite: Visconti, A., Yang, S., Pausch, J., Wild, A. J., Kolb, S., Pusch, V., Chibesa, M. C., Hajirezaei, M.-R., and Holz, M.: Contrasting belowground strategies of maize varieties under combined water and phosphorus deficiency: the role of root exudation. , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6538, https://doi.org/10.5194/egusphere-egu26-6538, 2026.

EGU26-6765 | ECS | Orals | BG3.29

Relationship of compound-specific root exudation with nitrogen and water status of temperate tree species 

Melissa Wannenmacher, Simon Haberstroh, Jürgen Kreuzwieser, and Christiane Werner

The rhizosphere is a hotspot of biological activity, representing a zone of interaction between plants and microbial communities. Root exudates are a key factor shaping this unique environment by significantly influencing belowground processes, such as carbon (C) and nutrient cycling. Despite this importance, main drivers of root exudation are still unknown. In this study, we investigated how the composition of root exudation in temperate forests relates to nitrogen (N) concentrations and δ13C isotopic signatures in different tree tissues. Enriched δ13C values can hereby serve as an indicator for drought stress.

Root exudates were sampled at four temperate forest sites in Germany in sycamore maple (Acer pseudoplatanus), European beech (Fagus sylvatica) and Norway spruce (Picea abies). We used an in-situ approach, where cleaned roots were incubated in cuvettes with glass beads and a diluted nutrient solution for 24h. Compound-specific root exudation rates from four sampling events in late spring and late summer of two consecutive years (2023 & 2024) were analysed by gas chromatography-mass spectrometry.
Tree tissues were sampled in late summer 2023 and in late spring 2024, including roots, branch bark, branch wood and leaves from the sun-lit tree crowns and analysed by isotope ratio mass spectrometry to determine C and N concentrations and the isotopic signature δ13C.

In maple, a higher N status in leaves, bark and wood went along with an elevated exudation of hydrocarbons, including fatty acids and sugars. In contrast, the exudation of N-containing compounds, namely amino acids, was reduced under higher tree N concentrations. Therefore, the exudation of hydrocarbons could be a mechanism to scavenge for N, while the loss of N through exudation is reduced. A reduced water availability indicated by more enriched δ13C values led to compound-specific reactions in the exudates of maple. While the exudation of hydrocarbons was reduced under more enriched δ13C values in leaves, bark and wood, N-containing compounds were exuded in higher rates, even though not significantly higher. This suggests a targeted exudation of specific compounds under reduced water availability.
In spruce, we observed significant tissue dependent correlations between tree N status and exudation. In contrast to maple, higher tree N concentrations in needles, bark and roots generally went along with reduced exudation. Also contrasting maple, spruce tended to decrease N exudation and increase the exudation of other compounds, when tree tissues were more enriched in 13C. This effect was especially strong and significant for roots, indicating an elevated investment into roots and root exudates under drier conditions. 
In beech, no significant correlations between N concentration or δ13C and exudation could be observed.

Our results indicate that the interaction of N and water status in tree tissues with root exudation strongly depends on the tree species, which could partially explain contrasting results reported in literature. While differing abiotic conditions are often held responsible for inconsistencies, our results suggest species identity as an important factor.

How to cite: Wannenmacher, M., Haberstroh, S., Kreuzwieser, J., and Werner, C.: Relationship of compound-specific root exudation with nitrogen and water status of temperate tree species, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6765, https://doi.org/10.5194/egusphere-egu26-6765, 2026.

EGU26-7075 | Orals | BG3.29

Linking root abundance and exudation with soil CO2/O2 fluxes ratio in three crops 

Anna Lengert, Dan Frederik Lange, Gerd Gleixner, Qiwen Zhang, and Boaz Hilman

Measuring root abundance, root exudation, and exudation chemistry requires destructive and cumbersome measurement protocols. Respiratory CO2 and O2 fluxes are simpler to measure and are related to these processes: 1) greater root abundance and exudation of labile compounds are expected to increase respiratory fluxes; 2) the apparent respiratory quotient (ARQ, the CO2/O2 fluxes ratio) is primarily derived from the nominal oxidation state of carbon (NOSC) of the respiratory substrate, with high expected ARQ in roots and rhizosphere (fed by exudates) and low ARQ in bulk soil. To test the control of root abundance and exudation on respiration fluxes, we conducted a pot experiment in a greenhouse with three crops (Brassica napus, Helianthus annuus and Panicum miliaceum). We measured CO2 and O2 fluxes from soil chambers and from jar incubations of excised roots and soil samples. Additionally, we measured root abundance and exudation rates and characterized exudate composition using untargeted direct-infusion Orbitrap mass spectrometry. Molecular formulas were assigned to derive NOSC and stoichiometric indices (H/C, O/C, N/C and P/C). We found that the species differed in their CO2 and O2 fluxes, reflecting their distinct root traits. Higher respiration fluxes were associated with greater root abundance and exudation rates, but a higher exudate N/C ratio was the strongest predictor. While the effect of species on ARQ was insignificant, small and consistent interspecific differences in ARQ were observed. Brassica napus exhibited comparatively high ARQ values, coinciding with exudates with high N/C ratio and NOSC, fast root respiration, and high root abundance. Overall, our results indicate promising links between root exudation and respiratory fluxes, with exudate N/C emerging as a significant factor in flux variability.

How to cite: Lengert, A., Lange, D. F., Gleixner, G., Zhang, Q., and Hilman, B.: Linking root abundance and exudation with soil CO2/O2 fluxes ratio in three crops, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7075, https://doi.org/10.5194/egusphere-egu26-7075, 2026.

EGU26-7131 | Orals | BG3.29

A plant’s deepest secret: translating root exudate profiles into their effects on soil microbial respiration in grasslands  

Marie J. Zwetsloot, Bobby Zetterlind, Ellis Hoffland, Liesje Mommer, and Dorian Tamminga

Plant roots release a great diversity of root exudates into soil, creating hotspots of biochemical activity. Species-level differences in root exudate chemistry may modulate these dynamics, with consequences for soil biogeochemical cycles at larger spatial scales. Therefore, the aim of this research was to investigate the link between species variation in root exudates and soil microbial respiration in temperate grasslands. We hypothesized that sugars would stimulate and phenolics would suppress soil microbial respiration across species. Second, we hypothesized that species variation in sugars and phenolics would be oppositely associated with root traits indicating fast vs. slow growth and their degree of collaboration with mycorrhizal fungi, allowing for these results to be generalized across grassland species.

To test these hypotheses, we conducted a greenhouse study with 53 plant species (grasses, forbs, legumes) common to managed and semi-natural grasslands on sandy soil in the Netherlands. We collected root exudates during peak vegetative growth using a hybrid soil-hydroponic collection method. Root exudates were analysed for total organic carbon, phenolic and sugar content, as well as individual metabolites using untargeted LC-MS analyses. Collected root exudates were freeze-dried and applied at the same carbon concentration to soil using an incubation setup in order to test their effects on soil microbial respiration. Root morphological traits and mycorrhizal colonization of plant species were also measured and aboveground growth was monitored during the study. Preliminary results suggest that species variation in root exudate chemical classes does not relate to core root traits representing nutrient use and acquisition strategies. Results on more detailed metabolite analysis and species-specific root exudate effects on soil microbial respiration will be presented at the conference.

How to cite: Zwetsloot, M. J., Zetterlind, B., Hoffland, E., Mommer, L., and Tamminga, D.: A plant’s deepest secret: translating root exudate profiles into their effects on soil microbial respiration in grasslands , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7131, https://doi.org/10.5194/egusphere-egu26-7131, 2026.

EGU26-7727 | Orals | BG3.29

 Seasonal Drought Reshapes Root Exudate Chemistry and Microbial Associations in a Mixed Mediterranean Forests 

Yaarao Oppenheimer-Shaanan, Sophie Obersteiner, David Yalin, Dagan Sade, Vered Zavaro, Ziv Reich, and Tamir Klein

Tree root exudates and rhizosphere microbe interactions are a key pathway influencing tree health in the forest. However, the chemical mechanisms mediating these belowground interactions, particularly under climate driven drought stress, remain poorly understood. Mediterranean forests experience recurrent seasonal drought, providing a natural system to examine how water limitation alters root derived carbon inputs and associated microbial responses. We conducted a two-year field experiment in a mixed Mediterranean forest comprising mature trees of Pinus halepensis, Quercus calliprinos, and Pistacia lentiscus. Across four seasons, we simultaneously quantified root exudation rates and metabolite composition and characterized soil and root associated microbiomes using 16S rRNA gene sequencing at species level resolution. This integrative approach allowed us to directly link drought-induced changes in root chemistry with microbial community structure and interaction patterns. Root exudation rates increased on average 2.7-fold during the dry compared to the wet season, reaching up to 21.7 μg C cm⁻² day⁻¹ across all three tree species. Metabolomic analyses identified 89 drought responsive compounds, dominated by amino acids (24), phenolics (22), carbohydrates (11), and terpenoids (8). While metabolite profiles varied strongly with both tree species and season, eight metabolites consistently responded to drought across all species, suggesting conserved metabolic responses to water stress. In contrast to the pronounced chemical shifts, rhizosphere microbial community composition remained largely stable across seasons, although it differed among host tree species. Despite this taxonomic stability, correlation analyses revealed multiple bacterial taxa that were positively or negatively associated with drought responsive metabolites. Notably, 19 actinobacterial species correlated with compounds such as the terpenoid glaucocalyxin A, deoxyribose, and a C5 sugar alcohol, highlighting diverse microbial strategies for exploiting drought altered root exudates. Together, our results demonstrate that seasonal drought reshapes belowground interactions primarily through changes in root exudate chemistry rather than large scale microbial turnover. We propose that drought-induced shifts in root derived metabolites act as finely tuned metabolic signals that selectively modulate microbial interactions while preserving the overall structural stability of the rhizosphere community in Mediterranean forests.

 

How to cite: Oppenheimer-Shaanan, Y., Obersteiner, S., Yalin, D., Sade, D., Zavaro, V., Reich, Z., and Klein, T.:  Seasonal Drought Reshapes Root Exudate Chemistry and Microbial Associations in a Mixed Mediterranean Forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7727, https://doi.org/10.5194/egusphere-egu26-7727, 2026.

EGU26-8110 | Orals | BG3.29

Glucose as a surrogate for root exudates overestimates greenhouse gas emissions from anoxic soils 

E. Marie Muehe, Marie Mollenkopf, Sarah Keldenich, and Andreas Kappler

Glucose is frequently used as a surrogate for root exudates in priming studies because it plays a central role in plant metabolism. Glucose-induced priming can accelerate the decomposition of organic matter via co-metabolism, thereby enhancing the release of greenhouse gases such as CO₂, N2O, and CH₄. However, despite Glucose’s widespread use as a proxy, actual root exudates are far more complex and further include organic acids, phenolic compounds, and nitrogen-containing molecules. Many studies fail to capture this complexity, particularly functions related to mineral dissolution, nutrient acquisition, and microbial interactions.

We hypothesized that glucose, compared to plant-derived exudates, leads to disproportionately high soil respiration and methanogenesis, thereby overestimating carbon decomposition and associated biogeochemical processes. To test this hypothesis, we collected thawed permafrost mineral soil from Abisko, Sweden. Permafrost soils store nearly twice as much carbon as is currently present in the atmosphere, thus, they represent a critical component of the global carbon cycle. The soil was incubated in anoxic microcosms and amended with four different exudate mixtures at environmentally realistic concentrations: glucose; a more complex carbon mixture composed of sugars and organic acids without nitrogen; the same complex carbon mixture with nitrogen-containing glycine; and exudates derived from graminoid plants obtained from thawed permafrost soil in Abisko. Within days of amendment, plant-derived and nitrogen-containing exudates resulted in lower CO₂ emissions than glucose and the nitrogen-free mixture, highlighting a key role of nitrogen in diversifying microbial metabolism. The effects on CH₄ emissions were even more pronounced than those on CO₂: glucose and the nitrogen-free mixture produced significantly higher CH₄ emissions compared to plant-derived and nitrogen-containing exudates.

Together, our results suggest that artificial mixtures of sugars, organic acids, and nitrogen-containing compounds should be preferentially used in priming studies to better reflect the complexity of root exudation.

How to cite: Muehe, E. M., Mollenkopf, M., Keldenich, S., and Kappler, A.: Glucose as a surrogate for root exudates overestimates greenhouse gas emissions from anoxic soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8110, https://doi.org/10.5194/egusphere-egu26-8110, 2026.

EGU26-9447 | ECS | Posters on site | BG3.29

Soil development stage shapes shoot-to-soil carbon flow and organo-mineral association under variable phosphorus supply 

Sasha Pollet, Jean-Thomas Cornelis, Chaoqun Wang, Thorsten Knipfer, Cindy Prescott, Amir Ahkami, Vimal Kumar Balasubramanian, Sophie Lehmann, Tanya Winkler, Tamas Varga, Young-Mo Kim, Kylee Tate, and Guillaume Lobet

Understanding plant–soil–microbe interactions is key to increasing nutrient use efficiency and soil carbon (C) storage. Root exudates play a central role in nutrient acquisition, structure microbial communities and influence organo-mineral association. Yet, how soil development stage and resulting soil chemical properties regulate root exudation and the fate of C in the rhizosphere remain poorly understood.

We used a soil–plant–microbe–mineral approach to assess how soil development stage influences plant stoichiometry, rhizosphere C release, microbial activity, and organo-mineral associations. In a growth chamber, we grew Lupinus albus, a model species for phosphorus (P) acquisition, for 30 days under three P levels (5, 15, and 40 mg P kg⁻¹) in three podzolic horizons representing contrasting soil development stages: an organic matter- and quartz-rich Ae, an iron (Fe) and aluminum (Al) oxide-rich Bh, and a primary silicate-dominated BC. Plant-derived C transfer to the rhizosphere, microbes, and reactive iron oxides was traced using a 13C-CO₂ pulse-labeling experiment, with Fe-oxide mesh bags used to assess newly stabilized organo-mineral C. We measured plant biomass, shoot stoichiometry, rhizosphere metabolites, microbial biomass, and enzyme activities.

Soil development stage strongly influenced shoot response to P supply and the fate of root-derived C. Shoot biomass was highest and insensitive to P supply in the primary mineral-rich BC, while it was lowest and responding to P supply in the Bh horizon, due to P sorption onto Fe and Al oxides. While dissolved rhizosphere organic C was similar, the metabolomic profile of rhizosphere solutions and microbial parameters varied markedly among soil horizons. 13C recovery in the rhizosphere varied strongly between soil horizons and P levels, reflecting interactions between mineral sorption capacity, metabolomic profiles and microbial activity. In the Ae horizon, high microbial biomass likely enhanced microbial processing of root-derived ¹³C, whereas in the Bh horizon, lower microbial biomass combined with high Fe and Al oxide content likely favored greater adsorption of 13C onto reactive minerals. Iron oxides in mesh bags showed pronounced, horizon-specific capacity to stabilize C, peaking in Bh, followed by Ae and BC.

Overall, soil development stage and resulting chemical and mineralogical properties tightly control plant P responses and the fate of C in the rhizosphere. These results highlight the tight coupling of plants, microbes, and minerals, and underscore the importance of soil genesis and integrative approaches for tracing the fate of photosynthates in soil–plant systems. Extending these findings to agroecosystems will require further validation though field trials.

How to cite: Pollet, S., Cornelis, J.-T., Wang, C., Knipfer, T., Prescott, C., Ahkami, A., Balasubramanian, V. K., Lehmann, S., Winkler, T., Varga, T., Kim, Y.-M., Tate, K., and Lobet, G.: Soil development stage shapes shoot-to-soil carbon flow and organo-mineral association under variable phosphorus supply, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9447, https://doi.org/10.5194/egusphere-egu26-9447, 2026.

EGU26-9461 | Orals | BG3.29

Wanted: Micronutrients – Exploring the efficiency of phytosiderophores and grass root exudates in mobilizing metals in soils.  

Andreea Spiridon, Tim Causon, Stephan Hann, Nicolas Kratena, Christian Stanetty, and Eva Oburger

Micronutrient (MN) deficiencies, particularly iron (Fe), zinc (Zn), and copper (Cu), severely limit crop productivity and frequently coincide with regions of human micronutrient malnutrition ("hidden hunger"), a problem exacerbated by high‑pH, calcareous soils that restrict metal availability through the formation of insoluble metal pools. In these challenging environments, grasses (Poaceae) rely on root exudates, most notably phytosiderophores (PS), to mobilize micronutrients such as Fe through the release of specialized ligands that promote metal dissolution and uptake.

However, the ecological complexity surrounding PS-driven micronutrient acquisition remains largely understudied, primarily due to limited availability of these compounds. Our previous work showed that grass species exhibit distinct PS exudation patterns, varying in both quantity and quality, with exudation decreasing in the order Fe > Zn > Cu deficiency. Building on these findings, we conducted detailed PS–soil interaction studies using naturally Zn- and Fe-deficient soils to examine whether specific PS types differ in their micronutrient mobilizing efficiency. Our results show that metal mobilization is soil-specific and largely dependent on the inherent availability of the metals themselves, following trends similar to the DTPA-extractable metal pool, i.e., the more available the metal, the more effectively it can be mobilized by PS. While soil properties primarily dictated overall mobilization patterns, differences among PS themselves also emerged. Despite their structural similarities, the eight PS displayed distinct mobilization efficiencies that changed with time and PS concentration.

Mobilization occurred rapidly within the first few hours but plateaued after approximately six hours, consistent with rapid PS depletion in an active rhizosphere. Notably, only a small fraction of the applied PS contributed to metal mobilization; most remained inaccessible, likely due to strong sorption to soil particles even under sterile conditions. When real root exudates were supplied together with PS, mobilization increased synergistically, enhancing the release of several metals, including Zn and Mn, beyond the capacity of PS alone.

These results highlight that MN acquisition is not a one-dimensional process but relies on multiple, complex rhizosphere interactions. Understanding these dynamics brings us closer to optimizing crop breeding and management practices that harness root exudation and soil potential for improved micronutrient uptake.

How to cite: Spiridon, A., Causon, T., Hann, S., Kratena, N., Stanetty, C., and Oburger, E.: Wanted: Micronutrients – Exploring the efficiency of phytosiderophores and grass root exudates in mobilizing metals in soils. , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9461, https://doi.org/10.5194/egusphere-egu26-9461, 2026.

EGU26-9532 | ECS | Posters on site | BG3.29

Identifying key root and rhizosphere traits for efficient zinc uptake in barley 

Uxue Otxandorena-Ieregi, Andreea Spiridon, David Aleksza, Michael Santangeli, Carmen Escudero-Martinez, Dagmar Woebken, Timothy S. George, Joanne Russell, Tim Causon, Stephan Hann, Christian Stanetty, Nicolas Kratena, and Eva Oburger

It is estimated that about half of the cultivated soils are deficient in zinc (Zn), contributing substantially to human Zn deficiency. As cereals constitute a major component of the human diet, improving their Zn content by breeding is a crucial agricultural goal to mitigate human Zn deficiency. However, breeding nutrient-rich cereals requires the identification of the plant traits that most strongly contribute to efficient Zn acquisition under deficient soil.

Plants can enhance Zn acquisition through multiple, potentially interacting mechanisms. They can enhance the uptake by adapting their root morphology or by increasing the expression of Zn cell-membrane transporters. Beyond the physical root system, roots secrete a chemically diverse blend of high- and low-molecular weight compounds that mobilise Zn from the soil. Cereals employ a strategy based on phytosiderophores (PS), metal-chelating agents released by roots into the soil. Root-associated microorganisms can also impact the plant's micronutrient status either by directly mobilising micronutrients or enhancing general plant health. While the mechanistic importance of individual traits has been demonstrated, their relative contributions have rarely been evaluated within a single integrative framework.

Using barley (Hordeum vulgare L.) as a model crop, sixteen genotypes representing the northern European germplasm were grown in a Zn-deficient soil. A diverse array of root and rhizosphere phenotypes was screened. We quantified and characterised the root exudate metabolome, placing a special focus on phytosiderophores. Root morphological traits such as root length and surface area were characterised. The expression levels of genes involved in Zn uptake were also assessed. Amplicon sequencing of the 16S rRNA gene and the ITS2 region was conducted to explore the root-associated microbiome.

Zn uptake efficiency varied substantially among barley genotypes. Barley genotypes that efficiently acquired Zn, exuded higher amounts of phytosiderophores and exhibited a distinct exudate metabolome profile, suggesting that exudates may play a key role in plant Zn nutrition. Specific root length also emerged as a possible key phenotype. While root-associated microorganisms were influenced by the plant’s Zn status and genotype, we found only subtle microbial differences between Zn-efficient and less efficient genotypes, providing little indication of their role in Zn uptake. This study establishes an integrative framework for root and rhizosphere phenotyping with the aim of identifying key traits for producing nutrient-rich crops.

How to cite: Otxandorena-Ieregi, U., Spiridon, A., Aleksza, D., Santangeli, M., Escudero-Martinez, C., Woebken, D., George, T. S., Russell, J., Causon, T., Hann, S., Stanetty, C., Kratena, N., and Oburger, E.: Identifying key root and rhizosphere traits for efficient zinc uptake in barley, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9532, https://doi.org/10.5194/egusphere-egu26-9532, 2026.

EGU26-10998 | ECS | Posters on site | BG3.29

Comparative assessment of root exudation in maize: Influence of experimental setup, growth conditions and root hairs 

Michael Santangeli, Anna Heindl, Lisa Stein, Alice Tognacchini, and Eva Oburger

A major challenge in root exudation research is obtaining exudate samples that accurately reflect exudation processes under natural soil growth conditions, as both the growth environment and the experimental setup can significantly influence root exudation dynamics. This study investigated the effects of different experimental systems and growth conditions on carbon (C) exudation in maize (Zea mays L.) roots, and whether these factors affect the ability to resolve genotypic differences between the wild type (B73) and its root hairless mutant (rth3). 
Plants were cultivated under various experimental conditions, including soil-based and hydroponic systems, and root exudates were collected using a combination of traditional and innovative sampling approaches. Carbon exudation rates were compared across systems and genotypes, and laboratory results were additionally evaluated against data from a separate field experiment.
Carbon exudation rates varied greatly with experimental design and environmental context, whereas the contribution of root hairs to total C exudation was minor in comparison. Notably, exudation rates measured in soil-based laboratory systems were consistent with those obtained in the field when growth temperatures were similar, indicating that soil-based laboratory experiments can provide ecologically relevant estimates of C exudation when designed to match field-relevant conditions. However, large differences in root biomass introduced systematic bias into exudation measurements, especially when the root-to-sampling volume ratio (RSVR) differed substantially among systems or genotypes. These findings demonstrate how experimental setup and environmental conditions influence measured exudation rates and can potentially outweigh genotypic effects. 
Overall, these results provide methodological guidance for reliably quantifying root carbon exudation in maize. Specifically, soil-based laboratory systems that closely replicate field conditions, particularly temperature, together with maintaining a consistent RSVR, can provide comparable estimates of maize root carbon exudation for field experiments.

How to cite: Santangeli, M., Heindl, A., Stein, L., Tognacchini, A., and Oburger, E.: Comparative assessment of root exudation in maize: Influence of experimental setup, growth conditions and root hairs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10998, https://doi.org/10.5194/egusphere-egu26-10998, 2026.

EGU26-10999 | ECS | Posters on site | BG3.29

A mesocosm study: Carbon release dynamics in young alluvial oak trees affected by flooding stress and elevated temperature  

Maxi Bergmann, Awaz Mohamed, Jens Dyckmans, Kai Jensen, and Ina C. Meier

Estuarine alluvial forests, which are characterized by short, intense flooding events, are recognized as global carbon (C) hotspots. However, predicted increases in flooding intensity and prolonged summer droughts due to climate change may alter the timing, quantity and quality of C transfer from alluvial trees to soil, with potential consequences for the C sink strength of alluvial forests. The surplus C hypothesis suggests that trees assimilate a surplus of photosynthates at the onset of resource limitation (Prescott et al. 2020) and that, consequently, frequent shifts from hypoxia to water drainage (or even summer drought) may result in particular high levels of surplus C in alluvial trees, which can be released by alternative root respiration or by root exudation into the rhizosphere. To test this hypothesis for alluvial trees, we conducted an outdoor mesocosm study with young pedunculate oak (Quercus robur L.) trees exposed to different climate change scenarios and examined the consequences for the release of surplus C by alternative root respiration and root exudation. Specifically, we simulated flooding events and increases in average temperature in a full factorial experiment. Over the course of one growing season aboveground performance of trees was monitored, fine roots were sampled to measure alternative root respiration, determined from the isotopic discrimination against 18O in O2, and root exudates were repeatedly collected with the culture-based cuvette method, quantified as TOC and later analyzed by LC-MS. We observed that flooding reduced the C sink strengths of aboveground and belowground growth and biomass by up to 40%, independent from temperature. In my presentation I will focus on C release dynamics via root exudation and root respiration and discuss the potential role of flooding and temperature rise on surplus C in alluvial forest trees, and potential consequences for root-microbiome interactions. Our findings will contribute to a broader understanding of the C sink strength of estuarine alluvial forests under climate change.

Prescott CE, Grayston SJ, Helmisaari H-S, Kaštovská E, Körner C, Lambers H, Meier IC, Millard P, Ostonen (2020) Surplus carbon drives allocation and plant–soil interactions. Trends in Ecology & Evolution 35: 1110-1118.

How to cite: Bergmann, M., Mohamed, A., Dyckmans, J., Jensen, K., and Meier, I. C.: A mesocosm study: Carbon release dynamics in young alluvial oak trees affected by flooding stress and elevated temperature , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10999, https://doi.org/10.5194/egusphere-egu26-10999, 2026.

EGU26-11011 | ECS | Posters on site | BG3.29

Shaping rhizosphere properties enables better root water uptake performance in contrasting soil conditions 

Ruth Adamczewski, Maire Holz, Johanna Pausch, Anders Kaestner, and Mohsen Zare

Plants actively modify their rhizosphere by releasing carbon-rich exudates that alter the physical and hydraulic properties of the surrounding soil. High-molecular-weight compounds such as mucilage are known to enhance rhizosphere water retention and increase liquid-phase viscosity. However, it remains poorly understood whether maize strategically modulates mucilage exudation in response to contrasting soil textures and water availability. Soil hydraulic properties differ strongly between textures, particularly under drying conditions, where non-linear relationships between matric potential and hydraulic conductivity may constrain root water uptake. We hypothesized that maize enhances mucilage exudation in soils with reduced soil–root contact and low hydraulic conductivity in order to maintain water uptake.

We grew maize plants in rhizoboxes filled with two contrasting soil textures (sand and loam) under well-watered and water-limited conditions. Rhizosphere extension around newly emerged roots was quantified using neutron radiography. In a second experiment, soil water was labeled with deuterated water to quantify root water uptake dynamics using time-resolved neutron radiography combined with a diffusion–convection model.

Rhizosphere extension was significantly larger in sand than in loam, indicating an adaptive modification of rhizosphere properties in response to reduced soil–root hydraulic connectivity. This pattern is consistent with enhanced mucilage exudation, which increases soil–root contact and maintains liquid-phase continuity under hydraulically limiting conditions. For the first time, in situ water retention curves of the maize rhizosphere were quantified for both sandy and loamy soils. Root water uptake rates of individual roots were similar across soil textures and moisture regimes; however, individual roots in sandy soils contributed more strongly to total plant transpiration than those in loamy soils. Notably, single roots maintained water uptake under water-limited conditions, demonstrating the capacity of maize to sustain water acquisition even as soil moisture declined.

These results demonstrate a high degree of adaptive plasticity in maize, highlighting its ability to engineer rhizosphere hydraulic properties to optimize water uptake under contrasting soil textures and moisture regimes.

How to cite: Adamczewski, R., Holz, M., Pausch, J., Kaestner, A., and Zare, M.: Shaping rhizosphere properties enables better root water uptake performance in contrasting soil conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11011, https://doi.org/10.5194/egusphere-egu26-11011, 2026.

EGU26-11151 | Posters on site | BG3.29

Programmed cortical cell death as a driver of root exudation in barley and maize genotypes 

Maire Holz, Valerie Pusch, Anaclara Visconti, Peng Yu, and Hannah Schneider

Root-derived carbon (C) inputs via root exudates are a key pathway linking crops to soil C and nutrient cycling. Yet, it remains insufficiently understood how programmed cell death (PCD) processes such as root cortical senescence or aerenchyma formation control root exudation. In cereals, PCD processes can lower the metabolic costs of soil exploration and reshape radial transport and rhizosphere interactions. These anatomical strategies may therefore influence both the magnitude and composition of rhizodeposition. Here, we assessed whether genotypic contrasts in cortical cell death are reflected in root exudation patterns in two cereal species.

We compared five barley (Hordeum vulgare) and six maize (Zea mays) genotypes obtained from the IPK genebank in Gatersleben and from University of Bonn selected for contrasting root anatomical properties. Plants were grown in pots for one month in a common garden experiment. Root morphology was quantified via root scanning (e.g., total root length and root surface area), and root biomass was determined. Root exudates were collected using a semi-hydroponic hybrid system and analysed for dissolved organic carbon (DOC), soluble sugars, and phenolic compounds (CGA equivalents); amino acid analyses are ongoing. After root exudation sampling, two cm long root sections were sampled from each node. Samples were taken 5-8 cm behind the root tip. Root anatomy was imaged and root cortical senescence and aerenchyma formation were quantified and are currently analysed.

Across barley genotypes, exudate DOC, sugars and phenolics showed limited differentiation during. In contrast, maize exhibited pronounced genotypic variation in root system size (root surface area, total root length) and biomass, accompanied by genotype-specific exudation profiles. Total C exudation per root surface area were lowest in Zea141 and highest in Zea90 and Zea3426, while sugar exudation was reduced in Ky228, Zea141 and Zea294 relative to other genotypes.

Overall, our results reveal strong genotype dependence of rhizodeposition in maize but comparatively conservative early patterns in barley under the tested conditions. Ongoing analyses of root cortical senescence and aerenchyma will directly test whether genotypes exhibiting greater PCD show altered root exudation pattern providing a mechanistic basis for trait-based selection of cereal genotypes to enhance root-derived C inputs to soils.

How to cite: Holz, M., Pusch, V., Visconti, A., Yu, P., and Schneider, H.: Programmed cortical cell death as a driver of root exudation in barley and maize genotypes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11151, https://doi.org/10.5194/egusphere-egu26-11151, 2026.

EGU26-12112 | ECS | Posters on site | BG3.29

Intraspecific diversity of cereals – root architecture and quantification of root carbon inputs 

Bradley Sparkes, Nadia Maaroufi, Naoise Nunan, Ali Moazzami, Tino Colombi, and Anke Herrmann

Crop diversification as an agricultural practice has been proposed for increasing carbon (C) storage in agricultural soils. Plants allocate C belowground differently depending on biotic and abiotic factors, which can be observed through variations in root architecture and root economics space. Root exudates are an important source of organic matter inputs to soils, and their composition is an important driver of plant-soil interactions in the rhizosphere. However, little is known about whether varieties of the same species differ in terms of organic matter inputs and thus their potential influence on soil functioning (e.g., C sequestration potential), and whether there is a relationship between root architecture and the composition of exudates. In a growth chamber experiment, we investigated root exudate compositions of commonly used cereal species and varieties, and their architectures were determined. Cereals were grown in rhizoboxes (40.2 x 26.1 x 3cm) for 21 days with 12-h light, 24°C and 19°C during the day and night respectively with a relative humidity of 60%, and included: 3 oat (Avena sativa L., varieties Galant, Fatima, and Ferry), 2 wheat (Triticum aestivum L., varieties Informer, and Julius), and 2 barley (Hordeum vulgare L., varieties Anneli, and SW Judit). Root system development and architecture were quantified from pictures taken regularly during the growth period, while exudate composition, collected via the soil-hydroponic-hybrid approach, were determined by 1H Nuclear Magnetic Resonance. Root system architecture varied significantly across species, while within species variation was only significant for barley and wheat. This coincided with patterns of significant variations in exudate profiles across and within species. Furthermore, our results show both how root systems and organic matter inputs can vary depending on choice of genotype within commonly grown cereals. In this presentation, we will discuss the possible link between C input and root architecture, as well as the use of intraspecific diversity in cereals to increase C storage in agricultural soils.

How to cite: Sparkes, B., Maaroufi, N., Nunan, N., Moazzami, A., Colombi, T., and Herrmann, A.: Intraspecific diversity of cereals – root architecture and quantification of root carbon inputs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12112, https://doi.org/10.5194/egusphere-egu26-12112, 2026.

EGU26-12590 | ECS | Orals | BG3.29

Modeling the role of root exudation and plant-microbe interactions in the response of soil respiration to P fertilization 

Kristian Schufft, Katrin Fleischer, Min Zhao, Belinda E. Medlyn, Lin Yu, Anja Rammig, and Sönke Zaehle

Root exudation is a substantial carbon (C) flux from plants to soils and a key pathway by which vegetation influences soil respiration. Especially in phosphorus (P) limited ecosystems, enhanced nutrient availability as a consequence of root exudation links plant C allocation to microbial activity and soil respiration. However, we have limited knowledge of how root exudation and soil microbial activity modulate soil respiration when P limitation is alleviated through fertilization. Previous studies have showed that the response of soil respiration to P fertilization is ambiguous and dependent on the ecosystem but the underlying causes often remain unidentified.

Here we used the microbial-explicit terrestrial biosphere model QUINCY-JSM, including an implementation of dynamic root exudation based on plant carbon surplus and nutrient deficiency, to investigate the role of plant-soil interactions in the response of soil respiration to P fertilization. The root exudation implementation was previously tuned and tested for the Eucalyptus Free Air Carbon Enrichment (EucFACE) experiment, where the role of increased root exudation under CO2 fertilization on soil organic matter cycling and soil respiration in a P-limited forest was evaluated. This experiment has now been fertilized with P, and here we take advantage of this modification to the experiment by simulating the EucFACE experiment under P fertilization. We investigate how microbial stoichiometry and P availability influenced simulated responses. In agreement with measurements, our model reproduced a decrease in soil respiration on P addition. Our simulations reveal root exudation as a key driver in this response: P fertilization alleviated plant P limitation, leading to a decrease in root exudation by up to 40 %. Consequently, the reduced C supply to the rhizosphere decreased microbial respiration up to 10 % and soil respiration up to 5 %. However, in simulations with high microbial P demand, microbes out-competed plants for the additionally available P and therefore suppressed the feedback to root exudation.

Our results highlight the role of root exudation in modulating soil respiration response to nutrient addition and the influence of soil microbial stoichiometry and baseline soil P availability. We make recommendations for further research by identifying critical variables for future modeling and observational studies.

How to cite: Schufft, K., Fleischer, K., Zhao, M., Medlyn, B. E., Yu, L., Rammig, A., and Zaehle, S.: Modeling the role of root exudation and plant-microbe interactions in the response of soil respiration to P fertilization, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12590, https://doi.org/10.5194/egusphere-egu26-12590, 2026.

EGU26-16653 | ECS | Posters on site | BG3.29

 Phenol-Driven Changes in Root Exudation and Nutrient Cycling 

Sierra Grange, Pratikshya Khatiwada, Clara Mendoza-Lera, Hermann Jungkunst, and Melanie Brunn

Invasive plant species often alter soil chemistry through root exudates, including phenolic compounds, which can inhibit native plant growth. Understanding how these compounds influence soil-plant interactions is crucial for predicting the ecological impacts of invasive species. This study focuses on the effects of phenolic compounds, particularly coumaric acid, a widely occurring phenol in invasive plant species, on biomass production, nitrogen cycling, and exudation dynamics of a native plant grown in soil affected by contrasting water regimes (regularly flooded and non-flooded). To test the hypothesis that phenols affect nitrogen cycling and impact plant growth, initial experiments evaluated the effects of four phenols in inhibiting nitrification. Subsequent experiments focused on coumaric acid, as it was the phenol with the strongest reduction of nitrification rates in soil, measuring its influence on biomass production of the native plant Persicaria lapathifolia as well as their exudation patterns under flooded and non-flooded soil conditions. Preliminary findings suggest that phenolic compounds reduce biomass production, primarily above ground, supporting the hypothesis of growth inhibition. Exudation patterns showed high variability, with phenols disrupting established exudation trends. In flooded soil conditions, plants exposed to phenols exhibited increased nitrogen uptake, potentially as an adaptive response to altered nutrient dynamics. These findings highlight the complex interactions between phenols, root exudation, and nitrogen dynamics in riparian soil that underwent varying flooding patterns. The results suggest that invasive species may leverage phenolic compounds to inhibit native plant growth and alter nutrient cycling, providing insight into invasion strategies and their potential implications under climate change.

How to cite: Grange, S., Khatiwada, P., Mendoza-Lera, C., Jungkunst, H., and Brunn, M.:  Phenol-Driven Changes in Root Exudation and Nutrient Cycling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16653, https://doi.org/10.5194/egusphere-egu26-16653, 2026.

EGU26-18987 | ECS | Posters on site | BG3.29

Root exudates help to rewet dry soil and may improve root water uptake performance in certain environmental conditions. 

Emma Gómez Peral, Andrew Mair, Iker Martín Sánchez, Mariya Ptashnyk, and Lionel Dupuy

Root exudates can significantly modify soil hydraulic properties by affecting water surface tension. When released into the rhizosphere, exudates from certain plant species can act as natural surfactants, notably influencing water movement and retention in the soil.

This study analyzes how root exudates affect water infiltration and redistribution in soils composed of wet and dry layers. Transparent soil microcosms were constructed using Nafion particles in glass chambers, with a wet top layer, a dry intermediate barrier, and a wet bottom layer. Exudates extracted from winter wheat roots, along with a dye tracer, were added to the wet top layer in half of the chambers, while the controls contained only water with the tracer. Time-lapse image analysis was used to quantify the movement of the wetting front and assess the effect of the exudates on soil permeability.

The results show that the presence of exudates promotes water infiltration through the dry barrier and improves hydraulic connectivity between different soil layers. These results demonstrate that the natural surfactant activity in root exudates can facilitate water movement, highlighting it as an important mechanism in the interaction between root systems and soil water dynamics.

How to cite: Gómez Peral, E., Mair, A., Martín Sánchez, I., Ptashnyk, M., and Dupuy, L.: Root exudates help to rewet dry soil and may improve root water uptake performance in certain environmental conditions., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18987, https://doi.org/10.5194/egusphere-egu26-18987, 2026.

EGU26-19613 | ECS | Posters on site | BG3.29

Bimodal diurnal patterns of belowground carbon exudation and nitrogen uptake and release in beech and spruce suggest source and sink driven controls 

Benjamin D. Hafner, Christian Friedl, Jacob B. Scharfetter, Taryn L. Bauerle, and Mohsen Zare

Root exudation constitutes a major pathway by which plants exchange carbon and nitrogen with the soil, yet its temporal dynamics remain poorly understood under field conditions. In particular, it is unclear to what extent short-term variations in exudation reflect diurnal carbon assimilation patterns or are driven by transport-related processes within the plant.

We investigated diurnal patterns of root carbon exudation and nitrogen uptake and release in two temperate tree species, European beech (Fagus sylvatica) and Norway spruce (Picea abies), at high-resolution (4-hour) sampling intervals over three full diel cycles. For each species, we studied both mature canopy trees and juvenile understory individuals to assess the dependency of exudation dynamics on light availability and plant internal storage capacity. In addition, we quantified non-structural carbohydrate (NSC) pools in fine roots.

Across species and tree age, root carbon exudation exhibited a pronounced bimodal diurnal pattern, with one peak occurring during midday and a second peak during the evening. These peaks were separated by two distinct minima in the early morning and afternoon. Nitrogen was released during the day with a peak during midday, similar to the time of carbon release. In turn we found that nitrogen uptake by fine roots happened during the night, while carbon exudation was still detectable. Nighttime carbon release and nitrogen uptake was higher in mature than in understory trees.

Our results demonstrate that root exudation in forest trees follows diurnal dynamics that cannot be explained by instantaneous carbon assimilation alone. We propose that transport-related processes and internal carbon storage play an important role in regulating belowground carbon release. (Net) nitrogen uptake occurred exclusively at night, possibly to support nighttime tree growth or regeneration. These diurnal carbon and nitrogen dynamics have important implications for associated soil biogeochemical processes.

How to cite: Hafner, B. D., Friedl, C., Scharfetter, J. B., Bauerle, T. L., and Zare, M.: Bimodal diurnal patterns of belowground carbon exudation and nitrogen uptake and release in beech and spruce suggest source and sink driven controls, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19613, https://doi.org/10.5194/egusphere-egu26-19613, 2026.

EGU26-19687 | ECS | Posters on site | BG3.29

A novel design for sampling root exudates: Does root exudation differ depending on root tissue type and along the root axis? 

Flora Brumen, Eva Oburger, and Michael Santangeli

Roots release soluble organic compounds, known as root exudates, into the soil that influence carbon and nutrient cycling. Understanding the quantity, quality and spatial dynamics of root exudates is crucial to gain deeper insights into plant-soil-microbe interactions. Despite advances, knowledge gaps remain regarding exudate dynamics and composition in soil systems, as many studies mainly relied on hydroponic methods, which may not accurately replicate natural conditions of soil. This study investigated the spatial variability and composition of root exudates by assessing the difference between localized root segment sampling and whole root system (WRS) sampling as well as the contribution of root hairs to exudation. Two genotypes of Zea mays, wildtype B73 (WT) and root-hairless mutant (rth3), were grown in soil-filled rhizoboxes under controlled conditions in a growth chamber. Root exudates were collected by custom-designed exudation traps targeting different positions along the root axis and root tissue types, and were compared to WRS exudation rates obtained with a soil-hydroponic-hybrid approach. Exudates were analysed spectrophotometrically for total dissolved organic carbon, soluble carbohydrates, phenolic compounds, and amino acids. Results revealed significant spatial variability in exudation along the root axis, with young root tissue exhibiting higher exudation rates than older segments, and double those of WRS. Root hairs and genotypic differences showed less influence than anticipated, with position along the root axis being the dominant factor. Extrapolating exudation rates of individual segments to WRS consistently overestimated whole root system exudation, emphasizing the need for careful interpretation of exudation hotspots and WRS rates. This study highlights the importance of soil-based approaches and ecologically relevant root exudate sampling for spatially resolved insights into carbon input via plant roots into the soil.

How to cite: Brumen, F., Oburger, E., and Santangeli, M.: A novel design for sampling root exudates: Does root exudation differ depending on root tissue type and along the root axis?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19687, https://doi.org/10.5194/egusphere-egu26-19687, 2026.

EGU26-20338 | ECS | Posters on site | BG3.29

An exudate extravaganza – how changes in root traits and exudation in response to insect-based fertilizer could elucidate differences in crop species nitrogen uptake strategy 

Franklin Harris, Gerlinde De Deyn, Inge Knoester, Hugo Glashier, Ellen Kandeler, Christian Poll, and Marie Zwetsloot

Root exudates are a primary pathway through which plants can recruit and interact with microbial communities surrounding their roots. Yet little is known about how crop species differing in root exudate quantity and quality influence the microbial mineralization of organic nitrogen in the rhizosphere. This is a particularly urgent question considering the need for effective novel organic fertilizers, such as insect-based fertilizer from black soldier fly (flytilizer), without compromising crop yields. Therefore, the aim of this study was to examine root exudation across 20 crop species, then link this to root traits indicative of fast vs. slow-growing strategies, mineralization of nitrogen in the rhizosphere, and plant nitrogen uptake. Additionally, we wanted to examine how these patterns changed when flytilizer was added. We expected that the total organic carbon (TOC) of root exudation would be positively correlated to rhizosphere microbial nitrogen cycling enzyme activity and plant N content. We also expected higher TOC and sugar to phenolic ratio to be positively correlated to strategies where plants grow quickly. Finally, we expected that when flytilizer is added, the relationship between TOC of root exudates and rhizosphere microbial nitrogen cycling activity to be weakened. To fill this gap, we conducted a greenhouse experiment with 20 crop species from 10 families grown in sandy field soil without and with flytilizer. We ensured the plants were nitrogen limited by applying mineral fertilizer containing all essential elements for plant growth apart from nitrogen. We measured relative growth rate and, after 7 weeks, we measured a variety of root traits, root exudation, as well as microbial biomass and the activity of five nutrient-cycling enzymes in the rhizosphere. Plant productivity and plant nitrogen (N) content were also quantified and for each crop species.

How to cite: Harris, F., De Deyn, G., Knoester, I., Glashier, H., Kandeler, E., Poll, C., and Zwetsloot, M.: An exudate extravaganza – how changes in root traits and exudation in response to insect-based fertilizer could elucidate differences in crop species nitrogen uptake strategy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20338, https://doi.org/10.5194/egusphere-egu26-20338, 2026.

EGU26-21404 | ECS | Orals | BG3.29

Drivers of Tree Root Exudation in Forest Ecosystems: A Global Synthesis  

Ahmet Aydogdu, Alexia Stokes, Lorenzo Rossi, Guangqi Zhang, Santiago Trueba, Gaëlle Viennois, Awaz Mohamed, and Zhun Mao

Forest ecosystems are particularly relevant for global root exudation rates as they cover about 31% of Earth’s land area and store ~861 Pg C as live biomass, dead wood, litter, and soils—making them one of the largest terrestrial carbon reservoirs. Root exudation represents a dynamic carbon flux pathway linking plant allocation to soil microbial activity, potentially accounting for 7–14% of global gross primary productivity. However, current global estimates often aggregate diverse biomes (forests, grasslands, croplands) or rely on seedling experiments, leaving the specific environmental and biological drivers of root exudation in established forest ecosystems poorly quantified. This study presents the first meta-analysis of in-situ root exudation rates focusing specifically on forest trees, aiming to evaluate how biotic and abiotic factors jointly influence belowground carbon flux. We conducted a meta-analysis to compile a curated database of in-situ root exudation measurements. To ensure ecological relevance, we excluded greenhouse and seedling experiments, restricting the analysis to established forest stands during the growing season (April–November). The final dataset includes 248 monthly observations from 33 studies across 76 tree species. Time-series observations allow for an in-depth analysis of seasonal root exudation patterns. These observations were integrated with global databases (GRooT, FungalRoot, WorldClim, Harmonized World Soil Database) to test drivers of root exudation rates including climatic variables, soil types, mycorrhizal type and Root Economic Spectrum (RES) traits. Preliminary results from 189 growing-season observations indicate that exudation rates were low in tree species associated with ectomycorrhizas (that were potentially forming a sheath around root tips and reducing exudates transferred into soil). Evergreens had greater exudation rates than deciduous species, but climate was purely linked to exudation. Furthermore, exudation rates were only weakly aligned with the main axes of the RES (e.g., specific root length and root tissue density), suggesting that exudation rates vary largely independently of morphological conservation-acquisition trade-offs. Furthermore, our analyses highlight a critical lack of data outside the growing season, particularly in winter and early spring. In conclusion, ectomycorrhizas are major C sinks, with little carbon from exudates reaching soil in colonised roots. Root traits are overall poor predictors of exudation and we postulate that root tips should be measured preferentially, as tips are the site of exudation in tree roots. This synthesis provides a more robust framework for understanding rhizosphere carbon dynamics, which is vital for improving the representation of root-soil processes in global carbon models.

How to cite: Aydogdu, A., Stokes, A., Rossi, L., Zhang, G., Trueba, S., Viennois, G., Mohamed, A., and Mao, Z.: Drivers of Tree Root Exudation in Forest Ecosystems: A Global Synthesis , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21404, https://doi.org/10.5194/egusphere-egu26-21404, 2026.

EGU26-21438 | ECS | Orals | BG3.29

Root exudate and litter impacts on microbial turnover and soil carbon stabilization are species specific 

Chupei Shi, Elly Morriën, Boris Jansen, Wolfgang Wanek, and Franciska de Vries

Differences in root exudate and litter quality are known to regulate microbial activity and net soil carbon (C) accumulation. For example, legume root exudates are known to have high amino acid content, and their root litters are characterized by low lignin and high C/N ratio.  Therefore, root-derived C from legumes can potentially enhance microbial activity and turnover rates, and facilitate microbial necromass production – the precursor for mineral-associated organic matter (MAOM) in soils.

Stable isotope probing has been widely applied to trace C fluxes into microbial respiration and soil C pools such as particulate organic matter (POM) and MAOM. However, most existing studies rely on artificial substrates or single compounds as proxies for root exudates, thereby neglecting the chemical complexity of root exudates and potential interactions between root exudates and litters on microbial C processing.

Here, we address this gap by isolating ¹³C-labelled species-specific root exudates and litter derived from three grassland species (L. perenne, P. lanceolata, and T.pratense) with contrasting root traits for an incubation experiment. Matured plants were pulse-labelled with ¹³CO₂ for three days, after which ¹³C-labelled root exudates and litter were collected and amended to bare soil either individually or in combined in a 75-day incubation experiment. We expect high quality root exudate and litter from T.pratense to induce higher microbial respiration and priming effect, and overtime,  elevated necromass production and C stabilization in MAOM.

Root exudates and litter derived from P. lanceolata, and T. pratense induced higher cumulative priming effects than those from L. perenne. Thereafter, microbial respiration rates declined over time. By the end of the incubation, the highest microbial turnover rate was observed in the T. pratense litter treatment, suggesting rapid microbial mortality and substantial necromass production over the incubation period.

Consistent with this pattern, mean residence times of P. lanceolata, and T. pratense root exudates in MAOM (1973 and 1754 yrs) were higher than those of L. perenne root exudates (493 yrs). In addition, T. pratense root litter exhibited the longest mean residence time in POM (149 yrs). Together, these results suggest that legumes can increase soil C accumulation through the positive impacts of their root exudate and litter on microbial turnover.

How to cite: Shi, C., Morriën, E., Jansen, B., Wanek, W., and de Vries, F.: Root exudate and litter impacts on microbial turnover and soil carbon stabilization are species specific, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21438, https://doi.org/10.5194/egusphere-egu26-21438, 2026.

EGU26-21644 | Posters on site | BG3.29

Species-specific root exudation drives Carbon and Nitrogen Dynamics in Young Reforested Alder and Oak Forests  

Novalia Kusumarini, Liam Cox, Iseult Lynch, and Sami Ullah

Root exudates are key regulators of rhizosphere processes, which control nitrogen (N) and carbon (C) cycling in the rhizosphere that underpin forest ecosystem functioning. However, how species and season-specific exudate quantity and quality influence these processes remain poorly understood. We compared exudates quantity and quality from an N₂-fixing alder (Alnus glutinosa), with a non-N₂-fixing oak (Quercus robur) tree across the growing season and its implications for N and C dynamics in the rhizosphere of a young forest (c.5 years old). We also scanned and recorded root traits of relevance to nutrient acquisition. We investigated how tree species and seasonality affect root exudate composition, soil N transformation, and mineralization potential of soil organic matter (SOM) among fast- and slow-cycling SOM pools. To isolate exudate effects, we complemented field observations with controlled additions of artificial exudates cocktails to soils mimicking natural concentrations and C:N ratios.

Root exudates were collected in situ as in Philip et al. (2008). Exudate quantity and composition differed markedly between species and varied seasonally. Oak exudates exhibited substantially greater exudation rates, including 57.0% higher carbon (p = 0.005) and 64.5% higher nitrogen exudation (p< 0.001). In contrast, alder exudates had a 15.9% higher C:N ratio than oak across the growing season, indicating lower organic C quality and reduced lability. Furthermore, oak exhibited a more acquisitive root strategy than alder, with higher specific root length (+125.8%, p = 0.016) and root tissue density (+86.8%, p = 0.186). Root exudation peaked in summer and declined in autumn, tracking seasonal photosynthetic activity. Exudates metabolomic analyses showed dominance of secondary metabolite biosynthesis pathways, followed by amino acid metabolism, which was more pronounced in alder, whereas oak exudates were characterized by enhanced aromatic compound degradation, likely reflecting stronger microbial processing in the oak rhizosphere.

Artificial root exudate addition showed that oak exudates, characterized by lower C:N ratios and higher carbon (C) inputs, stimulated stronger microbial nutrient cycling responses than alder exudates, increasing soil respiration by up to 1.74-fold, microbial biomass C by 1.62-fold, microbial biomass N by 11-fold, and gross N mineralization by fourfold. N Mineralization rates increased with exudate concentration and incubation time, with the strongest responses under oak exudates. However, net nitrification declined at high exudate inputs, likely due to microbial immobilization of N and gaseous N losses.

Carbon fractionation revealed that mineral-associated organic carbon (MAOC) dominated soil C and N stocks (>90%), whereas particulate organic carbon (POC) varied seasonally and between species (alder > oak; autumn maximum). Despite its smaller pool size given that this restored forest stand was 5 years old at the time of sampling, POC mineralized over 25 times faster per unit C than MOAC overall.

Overall, root exudate quantity and quality regulate microbial activity, nutrient retention, and C–N coupling in young forest soils, with consequences for productivity, carbon sequestration, and ecosystem–climate feedbacks.

How to cite: Kusumarini, N., Cox, L., Lynch, I., and Ullah, S.: Species-specific root exudation drives Carbon and Nitrogen Dynamics in Young Reforested Alder and Oak Forests , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21644, https://doi.org/10.5194/egusphere-egu26-21644, 2026.

Roots regulate a variety of carbon cycle processes in ecosystems. I will discuss the scope of inferring rhizosphere function from broad spatial scale analyses of root traits and carbon cycle state factors. In the first example, fine root carbon (FRC) in soils is typically hypothesized to be positively related to soil organic carbon (SOC). However, FRC inputs can also enhance SOC loss through priming. We tested the broad-scale relationships between SOC and FRC at 43 sites across the US National Ecological Observatory Network (Malhotra et al. 2025). We found that SOC and FRC stocks were positively related with an across-ecosystem slope of 7 ± 3 kg SOC m−2 per kg FRC m−2, but this relationship was driven by grasslands. Grasslands had double the slope compared to the across-ecosystem slope while forest FRC and SOC were unrelated. Furthermore, deep grassland soils primarily showed net SOC accrual relative to FRC input. Conversely, forests had high variability in whether FRC inputs were related to net SOC priming or accrual. We conclude that while FRC increases could lead to increased SOC in grasslands, especially at depth, the FRC-SOC relationship remains difficult to characterize in forests; suggesting a disproportionate role of priming in shaping forest SOC. In addition to regulating SOC, roots influence trace gas production in ecosystems. I will also discuss examples relating root form to methane function in wetlands (Määttä and Malhotra 2024), highlighting the elusive role of root exudation in methanogenesis. 

Citations:

Malhotra A,  JAM Moore, S Weintraub-Leff, K Georgiou, AA Berhe, SA Billings, M-A de Graaff, JM Fraterrigo, AS Grandy, E Kyker-Snowman, M Lu, C Meier, D Pierson, SJ Tumber-Dávila, K Lajtha, WR Wieder & RB Jackson. Fine root and soil carbon stocks are positively related in grasslands but not in forests. Communication Earth & Environment 6, 497 (2025). https://doi.org/10.1038/s43247-025-02486-9

Määttä T and A Malhotra, The hidden roots of wetland methane emissions (2024). Global Change Biology. 30, e17127

How to cite: Malhotra, A.: Fine root and carbon cycle relationships across broad scales: what can we infer about rhizosphere function?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22018, https://doi.org/10.5194/egusphere-egu26-22018, 2026.

EGU26-22130 | Orals | BG3.29 | Highlight

Sampling Root Exudates – Mission Impossible II: Small Details Matter 

Eva Oburger, Uxue Oxtanorena-Ieregi, Michael Santangeli, Andreea Spiridon, Henning Schwalm, Eithne Browne, Molly Brown, Lawrie Brown, David Roberts, Aoife Duffe, Jennifer Morris, Pete Hedely, James Abbot, Peter Thorpe, Fiona Brennan, Davide Bulgarelli, Tim George, and Carmen Escuerdo-Martinez

The input of soluble carbon from living plant roots (i.e., root exudation) into soil has received increasing attention over recent decades, as root exudates are recognized as key drivers of plant–soil–microbe interactions. However, obtaining ecologically meaningful root exudate samples remains challenging. In this presentation, I will highlight insights into often overlooked aspects of existing exudate sampling schemes, including the effects of sampling solution volume, sampling matrix, and microbial activity. Furthermore, I will introduce a new experimental scheme that integrates established approaches for root exudate collection with rhizosphere microbiota characterization into a single, unified protocol. Fine-tuning our exudate sampling techniques is essential for advancing our understanding of the identity, fate, and function of plant metabolites released into soil and their impact on (soil) ecosystem processes.

How to cite: Oburger, E., Oxtanorena-Ieregi, U., Santangeli, M., Spiridon, A., Schwalm, H., Browne, E., Brown, M., Brown, L., Roberts, D., Duffe, A., Morris, J., Hedely, P., Abbot, J., Thorpe, P., Brennan, F., Bulgarelli, D., George, T., and Escuerdo-Martinez, C.: Sampling Root Exudates – Mission Impossible II: Small Details Matter, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22130, https://doi.org/10.5194/egusphere-egu26-22130, 2026.

SSS5 – Soil Chemistry and Organic Matter Dynamics

EGU26-3107 | ECS | Posters on site | SSS5.2

Seasonal and altitudinal variability of litter decomposition across slope aspects in the Rila Mountains, Bulgaria 

Lora Stoeva, Lora Kirova, Kristiyan Kolev, Miglena Zhiyanski, Silvena Boteva, Boyanka Angelova, and Ivelina Sashova

Elevation gradients provide a natural framework for studying environmental change over short geographical distances. As the altitude increases, the temperature declines, the variability in air humidity increases, and the growing season shortens. Furthermore, even under otherwise comparable environmental conditions, the slope aspect affects the microclimate of the ecosystems. These combined factors strongly influence ecosystem processes, including microbial activity and the rate of litter decomposition in mountainous forest ecosystems and thus affecting carbon and nutrient cycling.
To test the hypothesis on the relative roles of seasonality, elevation, and microclimate in controlling litter decomposition rates in forest ecosystems, we conducted a field experiment in Rila Mountains (Bulgaria) along an altitudinal gradient, throughout different stages of the vegetation period, and across contrasting slope exposures. We applied an updated Tea Bag Index (3.0) protocol as described in Middelanis et al. (2023) ensuring a time-series mass loss data by excavating the buried tea bags three times within a 90-days field experiment per season. The study was set along 100 m altitudinal gradients between 1500-1800 m a.s.l on north-facing and south-dominated slopes during three biologically active seasons – from early spring to late autumn. Enzyme activities and soil pH were measured at each sampling event (i.e., tea-bag incubation and excavation), thus providing repeated measurements that captured seasonal and microclimatic variation. In addition, soil physicochemical properties (soil organic carbon, total nitrogen, texture, bulk density, skeleton content, and ICP-based geochemistry) and stand mensuration were obtained to provide the sampling plots' characterization. Meteorological data, including air temperature and precipitation variables, were analyzed to characterize the regional meteorological conditions during the studied period. This integrated approach facilitated the analysis of the effects of multiple factors influencing litter decomposition in mountain forests. 
The study found that the labial fraction and the decomposition constant differed notably between tea types, with consistently higher decomposition rates and decomposable fractions for green tea compared to rooibos tea across all sites and seasons, reflecting differences in substrate quality. The decomposition rate varied between sampling plots, exposure sites, and seasons. No clear pattern in decay rate was identified across the elevation gradient during the study period, with the exception of the spring season, when a decline in decomposition rate was observed with increasing elevation. Strong seasonal patterns were exhibited, with maximum decomposition rates occurring in summer at south-facing sites, whereas north-facing sites demonstrated equal or higher decomposition rates in autumn. These trends are further supported by statistically significant variations in the seasonal activity of microorganisms observed between the two surveyed areas with contrasting slope aspects, as well as by significant disparities in enzyme activity across seasons. The study demonstrated that litter decomposition in mountain forests is shaped by multiple interacting factors. It provided a good basis for comparing the relative influence of seasonality, elevation, and microclimatic conditions, highlighting the importance of their combined effects. However, further long-term experiments are needed to refine these insights and better capture the temporal variability of decomposition processes.

How to cite: Stoeva, L., Kirova, L., Kolev, K., Zhiyanski, M., Boteva, S., Angelova, B., and Sashova, I.: Seasonal and altitudinal variability of litter decomposition across slope aspects in the Rila Mountains, Bulgaria, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3107, https://doi.org/10.5194/egusphere-egu26-3107, 2026.

Arsenic (As) contamination in flooded soils is strongly governed by redox-driven iron (Fe) cycling at the soil–water interface (SWI), yet few remediation strategies explicitly exploit this dynamic process. Here, we propose and test a novel remediation mechanism based on organic matter (OM)–induced formation and manual removal of floating iron films. Using As-contaminated soils from Foshan, China (185.66 μg As g⁻¹ soil; 22.09 mg Fe g⁻¹ soil), a 10-week flooding experiment was conducted with different OM amendments, including cassava starch (0.05% and 0.1%) and milled straw (0.1% and 0.2%), alongside an unamended control. Continuous monitoring of dissolved oxygen and redox potential revealed that OM addition markedly enhanced reducing conditions at the SWI, promoting the reductive dissolution of Fe(III) minerals and the release of dissolved As. As redox gradients migrated upward, Fe(II) was re-oxidized in the overlying water, leading to the formation of floating iron films that effectively scavenged As from the water column. Periodic manual removal of the iron films resulted in substantial As export from the system. Depth-resolved soil extractions further demonstrated a redistribution and net depletion of labile As and Fe fractions near the SWI. These results demonstrate that coupling OM-stimulated iron reduction with targeted removal of secondary iron phases offers a promising, process-based strategy for arsenic remediation in flooded soils.

How to cite: Shu, X. and Chen, Z.: Organic matter–induced formation and removal of floating iron films as a mechanism for arsenic remediation at the soil–water interface, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3683, https://doi.org/10.5194/egusphere-egu26-3683, 2026.

EGU26-8194 | Orals | SSS5.2

Linking aggregate-scale pore structure to plant water acquisition: A 4D X-ray CT study of wheat roots in Chernozem 

Anna Yudina, Konstantin Abrosimov, Maria Timofeeva, and Maria Kochneva

Soil structure creates spatial heterogeneity that shapes ecosystem functions, including water retention and root colonization. Chernozemssoils characterized by exceptionally stable aggregation resulting from millennia of root-soil co-evolutionoffer a unique model to investigate how aggregate-scale pore architecture controls plant responses to drought. Using soil microcosms (4 × 10 cm, ~80 g soil) with aggregates from Native Steppe and Arable Chernozems, we established six experimental treatments (3 aggregate sizes × 2 soil types) with three replicates each. Root-soil dynamics were tracked through repeated X-ray computed tomography (Neoscan N80, Belgium) at 16 µm resolution. Imaging was synchronized with plant developmental stagesgermination, first leaf, and third leaf stage at permanent wilting pointyielding a total of 54 soil tomograms for analysis.

Preliminary processing of the data reveals distinct pore network architectures across aggregate size classes. Small aggregates exhibited low CT-visible porosity (24%) with high solid phase connectivity (6.60 mm⁻³), while medium aggregates showed moderate porosity (39%) with lower connectivity (0.64 mm⁻³), and large aggregates had the highest porosity (49%) but the lowest connectivity (0.51 mm⁻³). This structural gradient directly controlled root colonization: solid phase connectivity showed a strong negative correlation with root volume growth (r = −0.76), suggesting that matrix mechanical cohesion, rather than pore characteristics alone, limits root expansion. Medium aggregateswhich naturally dominate in undisturbed steppe soilsprovided optimal conditions for root development, with 90% greater root surface expansion compared to small aggregates. Root sphericity decreased 3–4 times more in medium aggregates (−0.14) than in small aggregates (−0.04), indicating greater architectural plasticity critical for water acquisition. Importantly, our preliminary results also show that medium aggregates provided the greatest drought resistance: plants in these microcosms reached the permanent wilting point latest, suggesting that this aggregate fraction optimizes both root development and water availability over time.

These findings demonstrate that native Chernozem aggregate structure represents an optimized spatial configuration balancing root accessibility with water retention. The strong coupling between aggregate-scale heterogeneity and root response suggests that tillage-induced disruption of natural aggregate distributions may compromise this evolutionary optimization. Our approachcombining high-resolution CT with growth stage-synchronized imagingoffers a framework for quantifying how spatial heterogeneity translates into ecosystem-relevant soil functions. Data processing is ongoing, and final results will include expanded replication and additional root morphometric parameters.

How to cite: Yudina, A., Abrosimov, K., Timofeeva, M., and Kochneva, M.: Linking aggregate-scale pore structure to plant water acquisition: A 4D X-ray CT study of wheat roots in Chernozem, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8194, https://doi.org/10.5194/egusphere-egu26-8194, 2026.

EGU26-8919 | ECS | Orals | SSS5.2

Speciation of Ca-bearing minerals and its relation to MAOM in semi-arid agricultural soils: a combined XRPD - XANES approach 

Mayuko Seki, Atsushi Nakao, Puu-Tai Yang, Chi-Lian Chen, Kohei Kurokawa, Rota Wagai, Hidetoshi Miyazaki, Muniandi Jegadeesan, Pandian Kannan, Haruo Tanaka, Soh Sugihara, and Junta Yanai

Calcium (Ca) is increasingly recognized as a key factor in promoting carbon persistence in semi-arid soils, which are typically characterized by low soil organic carbon content, alkaline pH, and Ca abundance. However, direct evidence or a clear mechanistic understanding of Ca contribution to carbon persistence remains limited, due partly to the lack of established techniques for determining Ca species in soils, especially Ca-bearing minerals. We therefore aimed to investigate the relationship between Ca species and mineral-associated organic matter (MAOM) fraction (>1.7 g cm-3, <53 µm) in semi-arid agricultural soils of India using two non-destructive methods.

Specifically, we used X-ray powder diffraction (XRPD) and Ca K-edge X-ray absorption near-edge structure (XANES) spectroscopy to characterize Ca species across six surface soils from agricultural fields in south India, exhibiting a wide range of soil Ca content (6.0 - 79.2 g kg-1) and MAOM-C content (1.5 - 7.4 g kg-1) with alkaline pH (8.0 – 8.9). Ca-bearing mineral concentrations, namely Ca-plagioclase, carbonates (calcite and dolomite), and clay minerals (smectite and vermiculite), were determined by XRPD. The contributions of Ca-plagioclase and carbonates to soil Ca were calculated by multiplying their concentrations by Ca contents estimated from the ideal mineral formula. Exchangeable Ca was operationally estimated by assuming that it is dominantly associated with the interlayer sites of smectite and vermiculite. Furthermore, the Ca species were determined by XANES using linear combination fitting with standards, namely Ca-plagioclase (anorthite), calcite, and exchangeable Ca (montmorillonite). The Ca content of each species was calculated by multiplying the Ca ratio from XANES fitting and the soil Ca content measured by X-ray fluorescence (XRF).

The sum of the estimated Ca content from XRPD was highly correlated with the soil Ca content by XRF, with high accuracy (y = 0.81x, p<0.001, r = 0.98). Each Ca ratio estimated from XRPD showed a similar trend to that obtained from XANES, with one exception. Given that the XRPD fitting can generally utilize a large library of standards with distinct diffraction patterns, the differences between XRPD and XANES may reflect the representativeness of the selected XANES standards for Ca species in the soils. These results suggest that the non-destructive XRPD approach is effective for quantifying Ca-bearing minerals in semi-arid soils and, when combined with XANES, it offers complementary information on Ca speciation. MAOM-C was positively correlated with exchangeable Ca (p<0.05, r = 0.90) and carbonates (p<0.05, r = 0.84) according to XRPD-based Ca estimates. On the other hand, XANES-based Ca analysis showed that MAOM-C was positively correlated with calcite (p<0.05, r = 0.82), and weakly, though not significantly, correlated with exchangeable Ca (p=0.12, r = 0.70), indicating that XRPD-based Ca showed stronger relationships with MAOM-C. There was no significant relationship between MAOM-C and Ca-plagioclase in both XRPD- and XANES- Ca estimates. Our results suggest that both exchangeable Ca and carbonates might be more strongly associated with MAOM-C accumulation compared with Ca-plagioclase in the semi-arid agricultural soils. The current approach of distinguishing soil Ca species would help to elucidate the mechanisms underlying Ca-MAOM associations in soils.

How to cite: Seki, M., Nakao, A., Yang, P.-T., Chen, C.-L., Kurokawa, K., Wagai, R., Miyazaki, H., Jegadeesan, M., Kannan, P., Tanaka, H., Sugihara, S., and Yanai, J.: Speciation of Ca-bearing minerals and its relation to MAOM in semi-arid agricultural soils: a combined XRPD - XANES approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8919, https://doi.org/10.5194/egusphere-egu26-8919, 2026.

EGU26-9164 | Orals | SSS5.2

What are the organo-mineral associations called 'nanoCLICs'? 

Isabelle Basile-Doelsch, Floriane Jamoteau, Nithavong Cam, Emmanuel Doelsch, Tom Girard, Jérôme Rose, Andréa Campos, Vladimir Vidal, Christine Pailles, Clément Levard, Ghislain Gassier, Laurent Thuries, Daniel Borschneck, Adrien Duvivier, and Perrine Chaurrand

Mineral associated organic matter significantly contributes to durable carbon sequestration in soils. Besides organic compounds adsorbed on mineral surfaces, organo-mineral associations in the form of coprecipitates are increasingly cited in the literature as a key mechanism of interaction between organic matter and soil minerals. Coprecipitates thus emerge as essential soil bodies in controlling carbon dynamics in soils. Their transitional structural/nature as well as their precise formation and maturation/transformation mechanisms remain poorly understood.

Over the past 10 years, we have aimed to: (1) model the molecular structure of these coprecipitates (Basile-Doelsch, et al., 2015; Tamrat, et al., 2018; Tamrat, et al., 2019) (2) observe and characterize them down to the nanoscale (Jamoteau, et al., 2023; Jamoteau, et al., 2025a), (3) test their stability against mineralization by microorganisms (Jamoteau et al., 2025b), and (4) explain their formation mechanisms in soils in relation to microbial activity. Our work relied on both synthetic samples (laboratory coprecipitates) and natural andosols, and we employed complementary approaches combining physicochemistry, microfluidic systems, respirometry, electron microscopy (SEM, TEM), and spectroscopy (EXAFS, STXM, EDX, EELS) to characterize the nature, the structure and the dynamics of coprecipitates.

This contribution will provide a synthesis of the studies conducted on these organo-mineral structures called "nanoCLICs" for nanosized coprecipitates of inorganic oligomers with organics (Tamrat, et al., 2019). We demonstrate that nanoCLICs could represent, within soil constituents, an ultimate boundary between biotic and abiotic components. NanoCLICs could thus play major roles in the biogeochemical dynamics that control soil functioning.

Basile-Doelsch, I. et al. Environ. Sci. Technol. 49, 3997-3998, doi:https://doi.org/10.1021/acs.est.5b00650 (2015).

Jamoteau, F. et al. Environmental Science & Technology 57 (49), 20615-20626, DOI: 10.1021/acs.est.3c06557 (2023)

Jamoteau, F. et al. Environ. Sci. Technol. 57, 20615-20626, doi:10.1021/acs.est.3c06557 (2025a)

Jamoteau, F. et al. SOIL, 11, 535–552, 2025, doi.org/10.5194/soil-11-535-2025 (2025b)

Tamrat, W. Z. et al. Geochimica et Cosmochimica Acta 229, 53-64, doi:https://doi.org/10.1016/j.gca.2018.03.012 (2018).

Tamrat, W. Z. et al. Geochimica et Cosmochimica Acta 260, 15-28, doi:https://doi.org/10.1016/j.gca.2019.05.043 (2019).

How to cite: Basile-Doelsch, I., Jamoteau, F., Cam, N., Doelsch, E., Girard, T., Rose, J., Campos, A., Vidal, V., Pailles, C., Levard, C., Gassier, G., Thuries, L., Borschneck, D., Duvivier, A., and Chaurrand, P.: What are the organo-mineral associations called 'nanoCLICs'?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9164, https://doi.org/10.5194/egusphere-egu26-9164, 2026.

EGU26-9226 | Orals | SSS5.2

Drivers of soil heterogeneity and their impacts on biogeochemical cycles 

Alix Vidal, Franziska Steiner, Tino Colombi, Hannah V. Cooper, Rahul A. Bhosale, Carsten W. Mueller, Laura Ferron, and Jan Willem van Groenigen

Soils are inherently heterogeneous, with spatial variability emerging from interactions among plants, soil microbes and fauna, physicochemical properties, and local climatic and geological conditions. Plants perceive this patchiness and adjust their strategies accordingly; for instance, by increasing investment in arbuscular mycorrhizal fungi (AMF) to access water or nutrients that are scarce or unevenly distributed. These adaptive responses, in turn, influence biogeochemical processes. As agriculture shifts toward practices that reduce environmental impacts, and as extreme climatic events such as drought become more frequent, soil heterogeneity is expected to intensify. This trend highlights the need for crop varieties capable of maintaining performance in increasingly heterogeneous soil environments.

After outlining key drivers of soil heterogeneity, we present two studies demonstrating how plant investment in AMF under water or nutrient limitation shapes belowground carbon dynamics and nutrient acquisition. In the first study, using maize mutants defective in AMF colonization combined with isotopic tracing, we show that AMF enhance plant–microbe interactions by increasing carbon transfer to both AMF and saprotrophic microbes. This higher carbon flow promotes microbial transformation of plant-derived carbon into forms that may contribute to persistent soil organic matter. In the second study, we show that ryegrass compensates for the low solubility of a circular fertilizer by increasing investment in AMF, resulting in phosphorus uptake comparable to that achieved with conventional fertilizer.

Together, these findings illustrate the capacity of crops to buffer resource heterogeneity- whether driven by management or climate change- through symbiotic investment, with cascading consequences for biogeochemical cycling. A key challenge ahead remains to capture soil heterogeneity across scales to better predict its impacts on plant performance and ecosystem processes.

How to cite: Vidal, A., Steiner, F., Colombi, T., Cooper, H. V., Bhosale, R. A., Mueller, C. W., Ferron, L., and van Groenigen, J. W.: Drivers of soil heterogeneity and their impacts on biogeochemical cycles, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9226, https://doi.org/10.5194/egusphere-egu26-9226, 2026.

EGU26-9256 | ECS | Orals | SSS5.2

Bacterial succession and bio-induced carbonate precipitation following willow growth 

Alena Zhelezova, Gerald Innocent Otim, Stefan Trapp, and Irene Rocchi

Different species of willow (Salix sp.) were historically used to improve slope stability and as the first step in afforestation on sandy soils. Willows can be grown from cuttings that harbour microbial symbionts (bacteria, ectomycorrhizal, and arbuscular mycorrhizal fungi) and promote successful plant establishment.

In an indoor pot experiment, we studied successional changes in bacterial and fungal communities following planting of willow cuttings in clean sand. Physical, chemical and microbiological parameters of root-affected sand were monitored during the growth of willows. Samples were taken from different pots that were disassembled after 30, 60, 90, 150, and 180 days of growth. Sand aggregation around roots was observed in pots sampled at days 150 and 180. Sequencing of gene libraries and qPCR for bacterial 16S rRNA and fungal ITS2 marker genes were performed on DNA extracted from loose root-affected sand and sand aggregates.The concentrations of soil total and water-extractable organic carbon and several metals (Ca, Mg, Mn, Cr, Cu, Fe, and Zn) were measured by ICP-OES and ICP-MS.

Concentration of water-extractable organic carbon in root-affected sand increased twofold from day 30 to day 150. Bacterial communities exhibited a clear pattern of increasing gene abundance and alpha-diversity over time. Proteobacteria were dominant in all samples, while Bacteroidota, Planctomycetota, Chloroflexota abundances increased in samples of day 150. However, no clear trends could be observed for the taxonomic structure of fungal communities, as the distribution of fungal dominants in sand samples was more scattered.

Sand aggregates differed from loose sand samples in terms of Ca and Mg concentration (40-200-fold higher), as well as the number of fungal and bacterial marker genes. Bacterial communities in sand aggregates were dominated by plant-associated bacteria, such as Sphingobium sp., while Firmicutes were significantly reduced, compared to those in loose sand. Some endophytic and plant-pathogenic fungi were found in aggregates. SEM analysis showed that crystals were formed between aggregated sand grains. So presumably, calcium carbonate precipitated due to root respiration affecting local conditions, while bacterial biofilms on sand grains acted as crystallization points. Alternatively, oxalic acid could have been exuded by willows and either precipitated as calcium oxalate or converted by oxalotrophic bacteria. Bio-induced precipitation of carbonates around willow roots enhances slope stability and carbon sequestration.

Our findings show that the growth of willow cuttings may alter the properties of rooted sand not only through root reinforcement, but also through bio-induced sand aggregation that occurs after five months.

This work is part of the project Soil Is Alive (SoIA), which was granted by the Carlsberg Foundation as part of the Consolidator Excellence Grant, Semper Ardens: Accelerate.

How to cite: Zhelezova, A., Innocent Otim, G., Trapp, S., and Rocchi, I.: Bacterial succession and bio-induced carbonate precipitation following willow growth, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9256, https://doi.org/10.5194/egusphere-egu26-9256, 2026.

EGU26-9420 | ECS | Orals | SSS5.2

Simulated climate extremes alter dynamics of mineral-organic associations in the rhizosphere 

Floriane Jamoteau, Junna Frei, Egon Van-der-Loo, E. Marie Muehe, Aaron Thompson, Laurel ThomasArrigo, Luis Carlos Colocho Hurtarte, Laszlo Kocsis, Jorge Spangenberg, and Marco Keiluweit

Mineral-organic associations are central to soil carbon persistence and nutrient cycling, yet their vulnerability to climate change remains uncertain. In particular, the mechanisms underlying their formation and disruption in the rhizosphere are insufficiently resolved. Here we examined how anticipated shifts in precipitation influence the disruption and (neo)formation of mineral-organic associations in the wheat rhizosphere, and how mineral crystallinity influences this processes. To investigate this, we conducted a 12‑week pot experiment with winter wheat (Triticum aestivum L.), using agricultural soil amended with mineral-organic associations formed by 13C‑labeled microbial necromass adsorbed onto 57Fe‑labeled iron oxides of contrasting crystallinity (ferrihydrite vs. goethite). Plants were exposed to three precipitation regimes reflecting projected Central European climate patterns: optimal irrigation compared to intermittent droughts or floodings. Precipitation exerted notable and opposing effects on necromass-ferrihydrite associations: disruption (and subsequent 13C mineralization) was reduced under intermittent drought (0.8x), but intensified under intermittent flooding (1.4x) compared with optimal precipitation. Necromass-goethite associations, by contrast, were largely stable across precipitation regimes. 57Fe Mössbauer spectroscopy and nanoSIMS imaging revealed Fe mineral transformations, especially under intermittent flooding conditions, and preliminary nanoSIMS data indicate rapid (neo)formation of mineral-organic associations. Together, these findings show that root-driven transformations of mineral-organic associations, particularly those comprised of poorly crystalline mineral phases, are sensitive to changing precipitation patterns, suggesting enhanced vulnerability of this carbon pool under future climate scenarios.

How to cite: Jamoteau, F., Frei, J., Van-der-Loo, E., Muehe, E. M., Thompson, A., ThomasArrigo, L., Carlos Colocho Hurtarte, L., Kocsis, L., Spangenberg, J., and Keiluweit, M.: Simulated climate extremes alter dynamics of mineral-organic associations in the rhizosphere, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9420, https://doi.org/10.5194/egusphere-egu26-9420, 2026.

EGU26-9439 | ECS | Orals | SSS5.2

How does pore structure affect microbial respiration on the aggregate-scale? 

Wiebke Mareile Heinze, Evelin Pihlap, Anke M. Herrmann, Naoise Nunan, Magnus Simonsson, and Mats Larsbo

Small-scale drivers of soil organic matter (SOM) mineralization can have important implications for larger scale soil carbon dynamics. SOM affects soil aggregation and structure formation. In turn, the soil pore network can impact SOM mineralization as it governs soil aeration and determines the physical accessibility of SOM to microbes. However, it remains elusive if structural or chemical soil properties determine the SOM turnover in soil aggregates. The aim of this study was to assess how SOM mineralization is affected by soil structure and chemical properties on the aggregate scale. For this purpose, we combined microbial respiration essays with 3-D X-ray micro-computed tomography (CT) scans of single aggregates. We expected that microbial respiration is driven by the co-location of SOM and soil pores and their connectivity but further influenced by the quality of organic matter and its stabilizing complexation with soil minerals. For this purpose, we measured the microbial respiration in soil aggregates (4-6 mm) from soils of two long-term field trials from central and southern Sweden with differing soil textures (sandy loam and clay loam) and organic matter sources and qualities (bare fallow, mineral fertilization, straw addition). Basal respiration rates were measured for moist single aggregates using MicroRespTM (µg CO2-C g-1 SOC h-1). We characterised the internal pore networks of aggregates using X-ray micro-CT with a voxel edge length of 5 µm, to assess the influence of pore size distribution, pore volume, pore surface area and connectivity on microbial respiration rates. In addition, we mapped particulate organic matter to compare its spatial distribution in relation to the pore network as an indicator of physical accessibility to microbes. For estimating the chemical accessibility of SOM we determined its composition using solid state 13C nuclear magnetic resonance spectroscopy and its potential chemical complexation with amorphous aluminium hydr(oxides). The highest respiration rates were observed for aggregates from straw-amended soils, even after normalization for carbon content. Our results will contribute to a better understanding of the small-scale mechanisms of SOM turnover that affect larger-scale organic carbon stocks in soils.

Acknowledgements: The study was funded by FORMAS  grant no. 2022-00225.

How to cite: Heinze, W. M., Pihlap, E., Herrmann, A. M., Nunan, N., Simonsson, M., and Larsbo, M.: How does pore structure affect microbial respiration on the aggregate-scale?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9439, https://doi.org/10.5194/egusphere-egu26-9439, 2026.

EGU26-9802 | ECS | Posters on site | SSS5.2

Parent Material Shapes Carbon Quantity and Composition Across Soil Profiles: Insights from MAOM and POM Fractionation 

Jingjing Guo, Manuel Ruben, Ina Mählmann, Jana Frenzel, Jorien Vonk, Patrick Frings, Oliver Lechtenfeld, Gesine Mollenhauer, Niels Hovius, and Dirk Sachse

Soils hold the largest terrestrial reservoir of organic carbon (OC), and understanding the factors that are essential for soil OC formation, stabilization and transformation is crucial for predicting carbon-climate feedbacks. Mineral-associated organic matter (MAOM) is widely recognized as a dominant stabilization pathway for soil OC. However, the extent to which mineralogy - and the elemental makeup of mineral assemblages - regulates MAOM formation and persistence remains insufficiently resolved. Here we compare OC composition of six soil profiles developed on contrasting parent materials (sandstone, shale, and dolomite) in the Sudeten Mountains of central Europe. Bulk soil was fractionated into matrix-free particulate organic matter (POM), and MAOM using combined density and grain size separation.

In shale- and dolomite-hosted profiles, MAOM accounts for the majority weight, whereas sandstone-hosted profiles contain a greater proportion of POM. With depth, the relative weight contribution of MAOM decreases and POM increases in all profiles. Regarding the total organic carbon (TOC), sandstone-derived profiles generally contain less OC than shale- and dolomite-derived soils. TOC declines with depth in each fraction, with consistently higher OC content in MAOM than in POM. Similar with the weight distribution, the relative OC contribution of MAOM decreases while POM increases, despite the overall OC depletion down-profile.

To probe stabilization mechanisms beyond concentration patterns, ramped pyrolysis/oxidation (RPO) is being applied to quantify thermal stability of OC among mineralogies. A positive correlation between TOC and average activation energy presents in most profiles except for one sandstone-based profile. This is contrary to the general expectation that low-TOC samples should contain higher average activation energy (i.e., a negative TOC-stability relationship). The positive correlation in our samples suggests that specific compound classes or organo–mineral associations, rather than OC content alone, may drive apparent thermal stability; ongoing FT-ICR-MS will target compositional drivers. In addition, the standard deviation of energy decreases down-profile, indicating a decrease in OC heterogeneity.

To enable cross-mineral comparison, the OC loading of different fractions is also being normalized to mineral specific surface area (SSA). Upcoming ICP-OES measurements of elemental composition will test links between MAOM abundance and key elements, with the goal of identifying mineralogical and elemental controls on MAOM stabilization across contrasting parent materials.

How to cite: Guo, J., Ruben, M., Mählmann, I., Frenzel, J., Vonk, J., Frings, P., Lechtenfeld, O., Mollenhauer, G., Hovius, N., and Sachse, D.: Parent Material Shapes Carbon Quantity and Composition Across Soil Profiles: Insights from MAOM and POM Fractionation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9802, https://doi.org/10.5194/egusphere-egu26-9802, 2026.

EGU26-9843 | Posters on site | SSS5.2

Microbial cell density and interaction potential in soil are governed by the extent of habitable pore surfaces 

Hannes Schmidt, Steffen Schlüter, Vincent Felde, Xavier Raynaud, Shaul Pollak, Petra Pjevac, Matthias Halisch, Henri Braunmiller, Nicolai Koebernick, Stephan Handschuh, Berit Zeller-Plumhoff, Ksenia Guseva, Andreas Richter, and Naoise Nunan

Soil microbes drive terrestrial biogeochemical cycles, yet their fine-scale spatial distribution and occupancy of pore space remain poorly understood. Using a multidisciplinary approach, we resolve microbial colonization of soil pores at a micrometer resolution and assess how cell density shapes potential microbial interactions. We derive a general scaling law that converts X‑ray microtomography outputs into micrometer-scale estimates of habitable surface area. Across diverse soils, we found that microbial abundance scaled positively with habitable surface area, and that bacteria occupied a substantially larger fraction of pore surfaces than previously recognized. In addition, the diameter of soil pores was found to modulate the potential for bacterial interactions, which likely span phylogenetic lineages. These findings revise prevailing views of microbial colonization of soil pores and have direct implications for conceptualizing microbial interactions including modelling of microbially mediated processes.

How to cite: Schmidt, H., Schlüter, S., Felde, V., Raynaud, X., Pollak, S., Pjevac, P., Halisch, M., Braunmiller, H., Koebernick, N., Handschuh, S., Zeller-Plumhoff, B., Guseva, K., Richter, A., and Nunan, N.: Microbial cell density and interaction potential in soil are governed by the extent of habitable pore surfaces, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9843, https://doi.org/10.5194/egusphere-egu26-9843, 2026.

EGU26-10659 | ECS | Posters on site | SSS5.2

Dissolved Organic Matter in a Grassland Soil Profile: A Pilot Study Based on Lysimeter and Water Extraction Approaches 

Kristyna Mullerova, Vojtech Enev, and Miloslav Pekar

Dissolved organic matter (DOM) is a key component of soil systems and plays an important role in soil solution chemistry and organic matter transport. This study focuses on the comparison of DOM obtained by two different approaches: soil solution sampling and water extraction from soil. The aim is to characterise and compare dissolved organic matter collected from the same site and from identical depths of the soil profile.
Soil solution samples were collected using lysimeters installed at depths of 20, 40, and 60 cm. Water-extractable dissolved organic matter (WEDOM) was obtained from soil samples collected at the same depths and locations. The study site is a permanently grassed area managed by annual mowing, where the cut biomass is left on the surface without further intervention. This management represents a stable system with continuous organic matter input.
The physicochemical characterisation of DOM was based on a set of complementary analytical methods. Basic properties were determined by measuring pH and electrical conductivity. Dynamic light scattering (DLS) was used to assess particle size distributions, while zeta potential measurements were applied to evaluate surface charge and colloidal behaviour. UV–Vis spectroscopy was used to calculate selected absorbance coefficients related to aromaticity and the degree of humification.
By combining field-based lysimeter sampling with laboratory water extraction and multiple analytical techniques, this study provides a methodological framework for the comparison of different DOM fractions along the soil profile.


Acknowledgement
This work was supported by The NATO Science for Peace and Security Programme, project Nr. G6296. https://land-security.org/.

How to cite: Mullerova, K., Enev, V., and Pekar, M.: Dissolved Organic Matter in a Grassland Soil Profile: A Pilot Study Based on Lysimeter and Water Extraction Approaches, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10659, https://doi.org/10.5194/egusphere-egu26-10659, 2026.

EGU26-11069 | ECS | Posters on site | SSS5.2

Micro-Architectural Constraints on Urease Activity: How Aggregate Structure Modulates Microbial Trade-offs 

Zi-Chun Lu, Jinxing Zhou, Nicola Dal Ferro, Francesco Morari, and Xinliang Wu

This study investigates the relationship between aggregate micro-environments and microbial metabolic costs to quantify how soil physical structure constrains microbial physiology. Specifically, the objective was to determine whether aggregate size and structure impose distinct energetic trade-offs on nitrogen-cycling bacteria. Disturbed silty clay soil samples classified as Plinthic Acrisols and characterized by low pH (3.99 ± 0.02) and soil organic carbon of 2.59 ± 0.01 g kg-1were taken under natural grassland in Yiyang city, Hunan Province, China. Natural aggregates sieved at 2-5 mm (large macroaggregates, LM) and 0.5-1 mm (hereafter small macroaggregates, SM) were inoculated with exogenous urease-producing bacteria (UPB) and incubated at 20 and 30 degrees Celsius (three replicates, each) for 7 days. The rate of SOC mineralization, urease activity, total extractable extracellular polysaccharides, and UPB populations were determined, and the temperature sensitivity (Q10) of SOC mineralization was calculated. Afterward, LM and SM structures were characterized by pore-size distribution determined by mercury intrusion porosimetry (MIP), and by structural stability assessed using laser diffraction.

Results revealed that LM offered superior protection for UPB colonization compared to SM. Specifically, at 20 degrees Celsius, UPB population abundance in LM was 235.56 × 103 CFU/g, whereas in SM was significantly lower at 196.66 × 103 CFU/g. This higher biomass in LM supported a substantial C mineralization rate of 21.28 mg·kg-1·d-1. Notably, LM exhibited a lower Q10 (0.96) compared to SM (1.19). MIP analyses refined this understanding, revealing that LM possesses a higher volume of habitable mesopores compared to SM. While this specific pore range facilitates extensive bacterial colonization, the accumulation of extracellular polysaccharides within the tortuous and constricted pore throats likely creates a bio-physical barrier that restricts diffusion. This physical architecture explains the paradox of high biological density yet low temperature sensitivity. In conclusion, large macroaggregates function as low-cost metabolic niches, where tortuous pore structures maximize bacterial survival but constrain metabolic flexibility through physical diffusion limits.

How to cite: Lu, Z.-C., Zhou, J., Dal Ferro, N., Morari, F., and Wu, X.: Micro-Architectural Constraints on Urease Activity: How Aggregate Structure Modulates Microbial Trade-offs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11069, https://doi.org/10.5194/egusphere-egu26-11069, 2026.

Black carbon (BC) is produced by incomplete biomass combustion and serves as a key electron shuttle in subsurface environments, where it coexists with reduced solid organic matter (SOMred). However, the role of BC’s abundant redox moieties in mediating electron transfer from SOMred to O2 during redox fluctuations remains unexplored. In this study, four BC types were prepared from distinct biomass precursors (pine wood and zein) at different pyrolysis temperatures (500°C and 800°C). BC enhanced hydroxyl radical (•OH) production by 1.2–1.8 fold compared with SOMred alone. Notably, a two-electron transfer pathway dominated •OH formation in both systems. BC amplified •OH production mainly by promoting electron release from the solid phase of SOMred. Characterization and model experiments revealed that graphite crystallites accelerated electron transfer, while quaternary N groups increased electron release from SOMred, as demonstrated by electrochemical analysis and DFT calculation. This •OH-enhancement process further facilitated As(III) removal. These findings highlight BC’s significant potential to mediate solid-phase electron transfer in SOM-rich environments.

How to cite: Sun, J., du, Y., chen, Y., ma, T., and wang, Y.: Rapid Electron Transfer at the Organo–OrganicInterface: Black Carbon-Mediated Electron Shuttling Enhances ROS Generation during Solid Organic Matter Oxidation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11867, https://doi.org/10.5194/egusphere-egu26-11867, 2026.

EGU26-12548 | ECS | Posters on site | SSS5.2

Dust deposition influences properties of Icelandic birch woodland soils 

Sólveig Sanchez, Johann Thorsson, and Olafur Arnalds

Iceland has some of the world's most active dust sources. Volcanic activity shapes the nature of its ecosystems and soils, which mainly classify as Andisols. The dust deposited in Iceland consists of glass of basaltic origin, which releases Al, Fe, and Si during weathering. Areas close to dust hotspots, such as proglacial sites, can receive up to 1 kg/m2 of dust per year. Naturally, these vast deposition rates influence soil composition and dynamics. In our study, we investigated the effects of dust deposition on soil properties in Icelandic birch woodlands, which are the only native woodlands. We selected ten study areas in old birch woodlands (60+ years old) throughout the country and classified each area according to its dust deposition rate, with 1 indicating very low (< 50 g/m2/yr) and 6 indicating extremely high deposition (500-1000 g/m2/yr). Soils were sampled to a depth of 30 cm. The birch woodland soils were all typical Andisols, with high carbon content and the presence of clay minerals, such as allophane and ferrihydrite, and metal-organic complexes. The results showed a great variability in the examined soil properties between areas of different dust categories, with clear trends. The carbon content and stocks in the top 30 cm were highest in areas far from dust sources and lowest in areas close to them. As the dust falls on the surface and slowly integrates with the soil, the carbon content in the soil dilutes; however, it also invokes carbon burial. We estimated that up to 26 g/m2/yr of carbon gets buried in areas close to dust hotspots (category 6). Thus, despite the carbon stocks being “low” in the top 30 cm of soil (~ 4 kg/m2), the overall carbon stocks across the entire soil profile may be greater than in areas with lower dust deposition rates due to carbon accumulation and burial. The same dilution effect was observed on clays and metal-organic complexes. Interestingly, the dust deposition correlated with the Al/Si ratio of allophane, with a lower Al/Si ratio in areas with higher dust deposition rates. These areas also had a higher soil pH and contained less active aluminium, which explains the lower allophane Al/Si ratios. All in all, dust deposition had a positive impact on the birch woodland soils, as it rejuvenates the soil, bringing fresh basaltic materials to the surface, raising the soil pH and CEC. We encourage further studies on dust deposition effects, especially in deeper soils (> 30 cm depth). This study highlights the importance of understanding the impact of dust deposition on soil dynamics, as it plays a crucial role in Icelandic ecosystems.

How to cite: Sanchez, S., Thorsson, J., and Arnalds, O.: Dust deposition influences properties of Icelandic birch woodland soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12548, https://doi.org/10.5194/egusphere-egu26-12548, 2026.

EGU26-13020 | ECS | Posters on site | SSS5.2

Microaggregate-scale heterogeneity as an indicator of initial soil formation in Antarctic cold desert soils 

Pegah Khosravani, Florian Carlo Fischer, Dirk Wagner, and Thomas Scholten

In the context of accelerating climate change, understanding how soil forms in some of the most extreme environments on Earth, such as the cold deserts of Antarctica, is critical. As ice-free areas expand, new substrates are exposed to pedogenesis, a process involving various biogeochemical reactions such as the accumulation of organic matter and the movement of substances within the soil profile. In order to gain a better understanding of these microscale pedogenic processes, it is important to comprehend how and why chemical and biological heterogeneity emerges in such harsh conditions.

In this study, we combined microaggregate fractionation, chemical analyses, and correlative light and electron microscopy (CLEM) to identify early indicators of soil formation and microbial components in Antarctic soils. Bulk soils were fractionated into three microaggregate size classes (53–250 µm, 20–53 µm, < 20 µm), each further separated into free and occluded fractions, yielding six microaggregate fractions in addition to the bulk soil. All fractions underwent chemical analyses to determine elemental composition and key soil properties. CLEM was applied to detect and visualize microbial and organic components within the soil matrix. Energy-dispersive X-ray spectroscopy (EDX) complemented CLEM by revealing the spatial distribution of major elements and mineral phases.

Results showed marked differences among microaggregate classes and between free and occluded fractions, highlighting chemical and biological microscale heterogeneity overlooked by bulk analyses. CLEM revealed organic matter and potential microbial structures within the soil matrix, while EDX highlighted patchy elemental distributions. Notably, the <20 µm fraction displayed distinct chemical characteristics and structural features, suggesting a critical role in early pedogenic differentiation.

These findings indicate that initial soil formation in Antarctic cold deserts emerges at microaggregate-related spatial scales and is closely associated with microbial and organic components. Microscale approaches such as microaggregate analysis combined with CLEM and EDX are therefore essential for understanding the earliest stages of pedogenesis, not only in polar regions but also in other extreme terrestrial environments and analogous extraterrestrial settings, such as Martian cold deserts.

Keywords: Antarctic soils, Early pedogenesis, Soil microaggregates, Soil organics, CLEM

How to cite: Khosravani, P., Carlo Fischer, F., Wagner, D., and Scholten, T.: Microaggregate-scale heterogeneity as an indicator of initial soil formation in Antarctic cold desert soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13020, https://doi.org/10.5194/egusphere-egu26-13020, 2026.

EGU26-13417 | ECS | Posters on site | SSS5.2

Dissolved Organic Matter Composition and Mineral Characteristics both Control Adsorption Processes  

Mona Abbasi, Marloes Groeneveld, Klaus Kaiser, Karsten Kalbitz, Lars Tranvik, and Dolly Kothawala

Adsorption of dissolved organic matter (DOM) onto minerals plays a critical role in the global carbon cycle, influencing carbon stability and sequestration across terrestrial and aquatic ecosystems. Currently, it remains unclear if mineral properties or DOM composition are more relevant for predicting adsorption. We tested this by quantifying the maximum adsorption capacity (Qmax) of five mineral materials (podzol Bs horizon, agricultural topsoil, glacial stream sediment, kaolinite-dominated clay, synthetic goethite) for five DOM sources (humic lake, peat, leaf litter, algae, and pyrogenic organic matter). Adsorption characteristics were determined using a modified Langmuir model. In addition, aliquots of three mineral samples were treated with sodium hypochlorite to remove pre-existing organic matter, enabling assessment of adsorption capacity onto bare mineral surfaces. Qmax values spanned 31–28,630 mg C kg-1, exceeding previously reported ranges and showing that both DOM composition and mineral properties variably control adsorption capacity. Even strongly adsorbing minerals such as goethite and clay showed large variation across DOM sources, being highest for peat and lowest for algae. Likewise, DOM from different sources differed in their adsorption affinities for the different mineral surfaces. Treatment with sodium hypochlorite increased DOM adsorption, depending on material type and mineral characteristics, such as hydrous aluminum and iron phases. In summary, carbon adsorption onto minerals depends on the characteristics of both the minerals and the organic matter. This suggests that soil models that do not consider the characteristics of organic matter are limited in accurately describing adsorption and predicting carbon sequestration potentials in soils and aquatic ecosystems. 

How to cite: Abbasi, M., Groeneveld, M., Kaiser, K., Kalbitz, K., Tranvik, L., and Kothawala, D.: Dissolved Organic Matter Composition and Mineral Characteristics both Control Adsorption Processes , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13417, https://doi.org/10.5194/egusphere-egu26-13417, 2026.

EGU26-14317 | ECS | Posters on site | SSS5.2

Mapping Carbon Compounds Relevant for Soil Energy Cycles at the Aggregate Scale 

Sidra Ahmad, Lieby Zborovsky, Nicole Strittmatter, Mirjana Minceva, and Steffen Schweizer

Dynamics of soil organic carbon (SOC) are controlled by microscale heterogeneity in substrate distribution, microbial accessibility, and mineral diversity. Still, how the microscale organization of low molecular weight (LMW) compounds influences microbial accessibility and soil energy cycling remains poorly understood. Mass spectrometry imaging (MSI) techniques, that are widely applied in biomedical research, offer new opportunities to visualize the distribution of molecular diversity in complex environmental matrices at the micrometer scale. Here, we explore the feasibility of desorption electrospray ionization mass spectrometry imaging (DESI-MSI), a surface-based ambient ionization technique, for spatially resolved detection of LMWs in soil. Sample preparation was guided by soil-specific constraints, including controlled water content and short incubation times, to minimize molecular redistribution and microbial alteration of existing metabolites. Using embedded samples of a range of different agricultural soils differing in management, we obtained two-dimensional distribution maps of amino acids, sugars, and fatty acids at a spatial resolution of 50 µm. Our preliminary measurements show localized micrometer-scale enrichments and spatially segregated distributions of detected compounds (sucrose, palmitic acid, glutamic acid, leucine, etc.), suggesting the presence of distinct molecular patterns at the microscale. Certain soil samples notably contain biochar particles, providing a chance to explore the distribution of LMWs across sorptive carbonaceous surface. These results demonstrate the ability to detect spatial patterns of LMWs across soil structures using DESI-MSI. Ongoing work aims to improve spatial resolution and identify molecular co-locations with specific organic and mineral soil components. Mapping metabolites at the microscale with spatial metabolomics provides new insights into how soil energy and carbon dynamics are organized.

How to cite: Ahmad, S., Zborovsky, L., Strittmatter, N., Minceva, M., and Schweizer, S.: Mapping Carbon Compounds Relevant for Soil Energy Cycles at the Aggregate Scale, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14317, https://doi.org/10.5194/egusphere-egu26-14317, 2026.

EGU26-14347 | ECS | Orals | SSS5.2

Protist predator exclusion in a soil chip ecosystem impacts bio- and necromass accumulation? 

Ada Behncké Serra, Hanbang Zou, and Edith C. Hammer

Trophic interactions are key in the shaping of soil microbial communities, and therefore in their central role on soil function and biogeochemical cycles. The physical features of soil pore space greatly impact microbial activity as well as soil trophic interactions. Smaller pore necks (< 2-3 µm) are believed to provide soil bacteria with shelter from larger predators (mainly protists and nematodes). Microfluidic devices are increasingly used to address ecological questions at the microscale because they enable precise and customizable fabrication of pore-space geometries. This allows pore size and architecture to be treated as controlled experimental variables, while simultaneously permitting high-resolution microscopic assessment of microbial growth and activity, as well as spatially resolved chemical analysis. Here, we show current work on the use of microfluidics to manipulate trophic interactions and to assess their role in the cycling of organic matter. We present the use of a multi-depth soil chip where selected pore space areas are reduced to a 1-2 µm height and 1 µm width (predator filters), allowing for refugia with significantly reduced protist abundance. We show that, while most of these predator filters achieve reduced predation pressure by protists in open areas beyond, it is not uncommon for smaller protists to overcome them. In open spaces where protist predation is significantly reduced, preliminary results suggest increased microbial biomass –and necromass– accumulation. Spaces with occluded entries also tend to show a slower colonization rate and seem to favour certain bacterial taxa, based on morphological differences. This work and its future developments contribute to our understanding of how pore architecture shapes trophic interactions at the microscale and how these impact soil organic matter accumulation.  

How to cite: Behncké Serra, A., Zou, H., and Hammer, E. C.: Protist predator exclusion in a soil chip ecosystem impacts bio- and necromass accumulation?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14347, https://doi.org/10.5194/egusphere-egu26-14347, 2026.

EGU26-14364 | Orals | SSS5.2

Drivers of soil organic carbon from temperate to alpine forests: a model-based analysis of the Swiss forest soil inventory 

Claudia Guidi, Sia Gosheva-Oney, Markus Didion, Roman Flury, Lorenz Walthert, Stephan Zimmermann, Brian Oney, Pascal Niklaus, Esther Thürig, Toni Viskari, Jari Liski, and Frank Hagedorn

Predicting soil organic carbon (SOC) stocks in forest ecosystems is crucial for assessing forest C balance, but the relative importance of key drivers, including soil mineral properties, litter inputs, and climate, remains uncertain. Here, we linked SOC stocks measured to 100 cm depth at 556 old-growth Swiss forest sites (350 to 2000 m a.s.l.) to soil properties, net primary production (NPP), climate (mean annual precipitation, MAP: from 700 to 2100 mm; mean annual temperature, MAT from 0 to 12°C), and forest type. We compared measured SOC stocks with stocks simulated by Yasso20 model, commonly used for reporting SOC stock changes in greenhouse gas inventories. Since Yasso20 accounts only for litter inputs and climatic conditions, deviations between modelled and measured stocks can reveal the significance of organo-mineral interactions that we hypothesize to be crucial for SOC stocks.

Total SOC stocks exhibited distinct regional patterns, with highest values in the Southern Alps, characterized by soils rich in Fe and Al oxides. On average, SOC stocks simulated by Yasso20 aligned with measured SOC stocks (13.7 vs 13.2 kg C m-2). In soils with pH ≤ 5, SOC stocks and model deviations were driven by exchangeable Fe, while in soil with pH > 5, exchangeable Ca was the dominant controlling factor. Beyond soil mineral properties, MAP emerged as an important driver of SOC stocks, while NPP remained unrelated to SOC stocks.

Our study demonstrates that soil mineral properties play a dominant role for SOC stocks across Swiss forest soils. Incorporating mineral-driven SOC stabilization into models can thus improve our ability to predict SOC stocks and its long-term dynamics.

How to cite: Guidi, C., Gosheva-Oney, S., Didion, M., Flury, R., Walthert, L., Zimmermann, S., Oney, B., Niklaus, P., Thürig, E., Viskari, T., Liski, J., and Hagedorn, F.: Drivers of soil organic carbon from temperate to alpine forests: a model-based analysis of the Swiss forest soil inventory, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14364, https://doi.org/10.5194/egusphere-egu26-14364, 2026.

Soil organic carbon (SOC) is a key component in the soil ecosystem. SOC can be stabilised against microbial mineralisation by several mechanisms. One mechanism is the formation of mineral-associated organic carbon (MAOC), in which the sorption of SOC to mineral surfaces protects it from microbial decomposition. Another mechanism is the thermodynamic limitations on microbial activity. When oxygen is limited in the environment, microbial activity is constrained to alternative respiration pathways with lower mineralisation rates. Soil moisture influences both of these mechanisms. However, it remains unclear how the interaction and the relative importance of both mechanisms vary across soil moisture gradients.

 

To study the mechanisms behind SOC stabilisation in alpine environments, we selected three transects covering a moisture gradient highlighted by vegetation type changes from snowbed to grassland habitats. We assessed SOC content and thermal stability with RockEval analysis. We measured soil pH, texture and total elemental composition, and monitored soil temperature and moisture in situ. We found that SOC content increased from the snowbed to the grassland habitat. Soil moisture monitoring revealed a strong gradient with wet to potentially waterlogged conditions in the snowbed habitat and drier conditions in the grassland habitat.

 

To assess the potential of SOC stabilisation through MAOC formation along the soil moisture gradient, we quantified the distribution of carbon in three density fractions: the free light fraction, the occluded light fraction and the heavy fraction. To further investigate MAOC formation, we quantified the abundance of reactive Fe and Al phases that preferentially form associations with SOC. We expect the relative proportion of carbon in the free light fraction and the occluded light fraction to be higher in the snowbed where thermodynamic limitations are stronger. Inversely, we expect the relative proportion of carbon in the heavy fraction to be higher in the grassland where MAOC formation dominates.

 

We are currently assessing the possibility for SOC stabilisation due to thermodynamic limitations using electron accepting capacity as a proxy for the availability of terminal electron acceptors and electron donating capacity as an indicator for microbial anaerobicity. We expect thermodynamic limitations to be more important in the wetter snowbed, while SOC stabilisation in the MAOC dominates in grassland.

 

How to cite: Dienes, B., Mendoza, O., and Aeppli, M.: Mineral and thermodynamic controls on soil organic carbon stabilisation along a soil moisture gradient in the Swiss Alps, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16556, https://doi.org/10.5194/egusphere-egu26-16556, 2026.

EGU26-16569 | ECS | Orals | SSS5.2

Influence of Physical and Mineralogical Sediment Properties on the Molecular Composition and Stability of Organic Carbon in Fluvial Sediments 

Ina Mählmann, Jingjing Guo, Manuel Ruben, Jana Frenzel, Gesine Mollenhauer, Niels Hovius, Dirk Sachse, and Oliver Lechtenfeld

In the context of climate change, the long-term storage of organic carbon (OC) in soils and sediments is increasingly important, as these systems can act as both carbon sinks and potential sources under changing environmental conditions. Rivers transport 0.9 to 1.9 Pg of carbon per year from terrestrial sources into the ocean, with a large proportion assumed to be transformed, mineralized, or permanently stored. However, due to the dynamic nature of fluvial sediments, stored OC is heterogeneous in both source and composition. Consequently, the influence of sediment properties such as grain size, elemental composition, and depositional conditions on the molecular stabilization of OC remains poorly understood, and OC-matrix heterogeneity complicates molecular characterization.

Here, we investigate the molecular composition of OC in sediments from four depth profiles of a hydrologically inactive meander of the Oder River, where sediments have been deposited over long periods and include sediment types of varying ages. OC fractions were directly analyzed from milled sediments by laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry (LDI-FT-ICR-MS). To our knowledge, this represents the first application of LDI-FT-ICR-MS to fluvial sediments, enabling direct molecular characterization of complex organic matter without solvent extraction or chemical pre-treatment. This preserves fragile and high-molecular-weight compounds and provides unique insights into matrix-bound OC pools. In addition, total organic carbon (TOC), stable carbon isotopes (δ¹³C), and radiocarbon (¹⁴C) were used to assess sources, transformation, and residence times.

LDI-FT-ICR-MS detected between 900 and 2,000 molecular formulae across sediment types. Molecular composition differed systematically between sediment matrices: the aromaticity index (AI) was higher in fine-grained sediments such as loam, clay, and peat-like deposits (AI up to ≈0.65), whereas coarse-grained sands showed lower AI (≈0.45). Sands exhibited higher double bond equivalents (DBE ≈10) and mean m/z values, indicating less aromatic, more aliphatic structures. The O/C ratio was lowest in peat-like sediments (≈0.25) and higher in sands (≈0.40), reflecting differences in oxidation state and carbon sources. Molecular variability decreased with depth and was lowest in very fine-grained clay and loam, suggesting enhanced stabilization and long-term persistence of OC.

These results highlight the central role of sediment properties in OC stability and provide insights into molecular mechanisms of carbon sequestration in river systems, with direct relevance for long-term carbon storage and climate protection strategies.

How to cite: Mählmann, I., Guo, J., Ruben, M., Frenzel, J., Mollenhauer, G., Hovius, N., Sachse, D., and Lechtenfeld, O.: Influence of Physical and Mineralogical Sediment Properties on the Molecular Composition and Stability of Organic Carbon in Fluvial Sediments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16569, https://doi.org/10.5194/egusphere-egu26-16569, 2026.

EGU26-16625 | Orals | SSS5.2

Deep Soil Carbon: Suprises We Find When We Keep Digging 

Jennifer Pett-Ridge, Eric Slessarev, Erin Nuccio, Kyungjin Min, Amelia Kuhn, Jillian Banfield, Tana Wood, Katherine Grant, Kari Finstad, Keith Morrison, and Karis Mcfarlane

At the surface, most soil organic C starts in plant roots, with belowground inputs five times more likely to persist than aboveground plant biomass. Microbes swarm these roots, driving blooms of activity and predation and releasing necromass, enzymes, and protein- and polysaccharide-rich extracellular polymeric substances (EPS) that aggregate soil and lock in C. But in deeper soil horizons, C is acted upon via distinct metabolic pathways. Indeed, deep soils are the cradle of soil formation--at the bedrock-soil interface (“regolith”), mineral weathering changes soil pH and releases nutrients and secondary mineral forming ions (Si, Al, Fe), impacting soil structure, microbial composition and activity, and the turnover time of soil organic matter. While deep soil horizons (>30 cm) are often considered biologically quiescent, deep soil C is highly sensitive to environmental change and comprises the majority of the global soil C pool. Our deep soils research has identified many active microorganisms at depth: “dark autotrophs” with genes for non-photosynthetic CO2 fixation, archaeal ammonia oxidizers, symbiotrophic fungi, and evidence of mineral weathering that forges secondary minerals, setting the stage for long-lasting mineral-associated organic matter (MAOM). We have also tested the durability of deep soil carbon. Roots of hardy perennial grasses that penetrate down to a meter (or more) introduce a net flux of radiocarbon-young recently fixed carbohydrates, but these new resources do not seem to accelerate decomposition (priming), and the added carbon is often short-lived. Persistence of deep root carbon does not appear to correlate with common soil properties and environmental factors (silt+clay, cation exchange capacity, pH, precipitation, temperature). However, certain soil organic matter components do have markedly distinct turnover times. When we used compound specific 14C analyses along a soil depth profile, we found significant differences in the 14C age of distinct organic molecules (acid insoluble>bulk soil carbon> chloroform-extracted microbial biomass, total lipids and amino acids>phospholipids and respired CO2).  These findings suggest that in deep soils, organic matter consumers appear to preferentially use young C transported from the surface (perhaps as roots or dissolved organic carbon) rather than recycling older soil organic carbon. These data also suggest that molecular structure may play a role in soil organic matter stability in the oligotrophic habitat of deep soils.

How to cite: Pett-Ridge, J., Slessarev, E., Nuccio, E., Min, K., Kuhn, A., Banfield, J., Wood, T., Grant, K., Finstad, K., Morrison, K., and Mcfarlane, K.: Deep Soil Carbon: Suprises We Find When We Keep Digging, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16625, https://doi.org/10.5194/egusphere-egu26-16625, 2026.

EGU26-16689 | ECS | Orals | SSS5.2

Silicate passivation and organic ligand functionality steer ferrihydrite recrystallization and MAOM retention 

Yinyin Zheng, Bar Asraf, Libor Kovarik, Ravi Kukkadapu, and Maya Engel

Ferrihydrite (Fh) is a ubiquitous, metastable Fe oxyhydroxide that strongly influences the cycling and persistence of mineral-associated organic matter (MAOM) in redox-dynamic soils. Under anoxic conditions, thiol-bearing organics can promote reductive dissolution and generate surface Fe(II) that catalyzes transformation to more crystalline Fe phases, yet how silicates and organic functionality jointly regulate these processes remains unclear. Here, we combine batch incubations of Si–Fh coprecipitates (Si/Fe = 0–0.18) with comparative experiments using representative low-molecular-weight ligands (glutathione, cystine, and glutamic acid) to determine how Si and molecular structure govern adsorption, Fe(II) availability, transformation kinetics, and mineral products. Increasing Si/Fe suppressed aqueous Fe(II) release and increased retention of surface-associated Fe(II)/Fe(III), stabilizing Fh for weeks at Si/Fe = 0.18 and shifting transformation pathways at lower Si to mixtures of lepidocrocite and a porous goethite phase enriched in Si and OM. In parallel, ligand adsorption was highly mineral-phase specific (Fh ≫ lepidocrocite) and depended on size and functional-group richness, which in turn modulated Fe(II)-catalyzed transformation selectivity: cystine most strongly suppressed progression beyond lepidocrocite, whereas glutathione and glutamic acid permitted hematite formation under higher Fe(II), consistent with coupled effects of surface passivation and aqueous complexation of reactive Fe species. Electron microscopy and elemental mapping revealed preferential OM retention in amorphous Fh and selective incorporation of Si and OM into porous goethite, while lepidocrocite showed limited OM association. Together, these results identify Si/Fe and ligand functionality as geochemical “switches” that control Fe mineral evolution and determine whether MAOM is excluded, stabilized, or redistributed during anoxic transformation, with direct implications for carbon persistence in ferruginous soils.

How to cite: Zheng, Y., Asraf, B., Kovarik, L., Kukkadapu, R., and Engel, M.: Silicate passivation and organic ligand functionality steer ferrihydrite recrystallization and MAOM retention, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16689, https://doi.org/10.5194/egusphere-egu26-16689, 2026.

EGU26-17365 | ECS | Orals | SSS5.2

Free and occluded colloidal transport dynamics: a novel approach using stable Fe-isotope labeling 

Antonio De Matteis, Jay Carl Cacerez, Nina Siebers, Lutz Weihermueller, and Anne Berns

To accurately assess nutrient dynamics and contaminant transport in soil ecosystems, understanding colloidal transport is crucial, but its role in the nutrient cycle has not yet been sufficiently explored. In this study, we examined the composition, isotopic enrichment, and transport of free and occluded colloids isolated from a ⁵⁷Fe-labeled agricultural soil. Elemental analyses showed differences in elemental composition between the different types of colloids. Free colloids were richer in Ca, while occluded colloids were higher in Fe and K. Isotopic analyses showed, that ⁵⁷Fe enrichment was concentrated in the fine free fraction (<20 µm; up to +690 ‰), while occluded colloids demonstrated only minor shifts (+90 ‰). Column experiments under saturated flow conditions showed no detectable ⁵⁷Fe breakthrough, with the isotopic enrichment confined to the upper 1 cm of soil, consistent with strong retention and dilution of the label. This work also highlights the potential and limitations of stable metal isotope labeling for tracing natural colloids in soils. Mass-balance calculations demonstrated that ⁵⁷Fe tracer detectability is governed primarily by isotopic enrichment rather than total Fe added, and an enrichment of approximately 0.255 g ⁵⁷Fe kg-1 soil would be required for dependable detection of colloids above analytical precision.

How to cite: De Matteis, A., Cacerez, J. C., Siebers, N., Weihermueller, L., and Berns, A.: Free and occluded colloidal transport dynamics: a novel approach using stable Fe-isotope labeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17365, https://doi.org/10.5194/egusphere-egu26-17365, 2026.

EGU26-19337 | ECS | Orals | SSS5.2

Organic carbon stabilization by acid mine drainage–derived iron hydroxide sludge: Evidence from adsorption experiments and implications for soil amelioration 

Emma Harlow, Robert Mikutta, Klaus Kaiser, Jakob Herrmann, and Mathias Stein

Soil organic carbon (SOC) accumulation is a slow but crucial process in sandy post-mining soils (sPMS), frequently limiting recultivation success. At the same time, acid mine drainage in post-mining landscapes generates high quantities of iron- and organic-rich residues (iron hydroxide sludge, IHS), which poses a severe environmental threat. At present, IHS are, due to a lack of viable usage options, typically landfilled. Recycling IHS as soil ameliorants could enhance SOC accumulation and stabilization by introducing highly reactive minerals to sandy substrates. However, concerns remain regarding both the fate of organic carbon (OC) initially bound to IHS and the material’s potential impact on nutrient availability as well as on the mobility of potentially toxic elements.

To investigate the sorption behavior of IHS, batch adsorption experiments were conducted using natural dissolved organic matter (DOM) of differing degrees of aromaticity with a set of mineral samples, including two IHS with contrasting properties, an sPMS and a synthetic goethite. Sorption was tested under different pH conditions, and the stability of bound organic matter was assessed by desorption experiments. Combined chemical and spectroscopic analyses provided mechanistic insight into interfacial processes.

Adsorption experiments revealed pronounced differences in OC sorption among the tested materials. While DOM sorbed most strongly to goethite surfaces not pre-occupied with organic matter, IHS accumulated substantially more OC than sPMS. At low DOM concentrations, IHS partly released initially bound OC. Increasing DOM aromaticity enhanced OC uptake and initial affinity across all sorbents and accentuated sorption differences between the two IHS. The IHS characterized by higher surface area, lower initial OC, and lower pH behaved as a stronger sorbent but, surprisingly, exhibits a lower dithionite-citrate-bicarbonate-extractable iron content and a lower share of oxalate-extractable iron than the less strongly sorbing IHS. Phosphorus was almost completely removed from solution when exposed to IHS, whereas sulfur was released into solution. Contrary to general concerns, arsenic was not mobilized from IHS, while zinc was released from one IHS across a wide pH range, with increasing mobilization under acidic conditions. To a large extent, the OC freshly sorbed from the DOM onto goethite and IHS was not re-solubilized after repeatedly exposing the materials to solutions containing no OC.

The findings indicate that IHS may serve as a locally available substrate to support OC sequestration in sPMS. However, the effectiveness of this process is governed by both sorbent and DOM composition, as well as by DOM concentration, and is also accompanied by other effects on the immobilization or release of substances, potentially affecting the reclamation success. Our results highlight the importance of careful selection of IHS with favorable chemical and mineralogical properties, as well as detailed investigation of their behavior under near-natural conditions, to enable targeted reuse as sustainable soil ameliorants within circular economy frameworks.

How to cite: Harlow, E., Mikutta, R., Kaiser, K., Herrmann, J., and Stein, M.: Organic carbon stabilization by acid mine drainage–derived iron hydroxide sludge: Evidence from adsorption experiments and implications for soil amelioration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19337, https://doi.org/10.5194/egusphere-egu26-19337, 2026.

EGU26-19828 | ECS | Posters on site | SSS5.2

Rapid arsenite oxidation by jacobsite under anoxic conditions: The role of divalent cations 

Mareike Lacina, Sylvain Bouchet, and Laurel ThomasArrigo

Arsenic (As) is a toxic trace metalloid found naturally in the earth’s crust. Due to weathering of arsenic-bearing minerals, volcanic activity or anthropogenic activities, high quantities of As can be moved to the surface and into the surrounding soils. Leaching of arsenic from polluted areas to nearby water bodies poses a risk to local water supplies.

In polluted soils, arsenic is mainly present in its inorganic forms arsenite (AsIII) and arsenate (AsV). AsV is less toxic and easily immobilized by poorly crystalline iron (Fe) and manganese (Mn) oxides while AsIII is more toxic and mobile. Arsenate is dominantly present under oxic conditions, meanwhile AsIII usually prevails under anoxic conditions. Manganese oxides are known to rapidly oxidize AsIII to AsV under anoxic conditions, however, the presence of aqueous FeII inhibits their oxidation capacity [1]. Iron oxides such as magnetite are strong sorbents of arsenite, yet AsIII oxidation only occurs in the presence of aqueous FeII [2]. In nature, Mn and Fe often substitute for one another but the reactivity of mixed minerals towards As under anoxic conditions remains largely unknown.

Here, we studied arsenite oxidation during sorption to jacobsite ((MnII,MnIII)FeIII2O4) by reacting 1g/L jacobsite with 26µM AsIII at pH 7 (50 mM MOPS buffer) under anoxic conditions for 28d. The mineral was reacted pure or after equilibration for one hour with 1mM aqueous FeII, MnII and CaII before spiking with AsIII to investigate the role of competing divalent cations. Aqueous samples were collected over time to measure the As and cation concentrations with ICP-MS. The oxidation state of As, Fe and Mn in the solid phase was measured with their respective K-edge XANES after 6h, 48h, 7d and 28d.

After 6h, ca. 85% of the AsIII was removed from solution in the cation-free, MnII- and CaII-reacted treatments, while 99% of the arsenite was removed in the FeII-reacted treatment. Results from linear combination fitting (LCF) of the As K-edge XANES spectra showed the near complete oxidation of AsIII to AsV within 7d in the cation-free (97% AsV) and CaII-reacted treatment (93% AsV). In comparison, AsIII oxidation was slower for the jacobsite equilibrated with MnII (83% AsV after 7d), but still near complete after 28d (96% AsV). Equilibration of jacobsite with aqueous FeII significantly inhibited As oxidation and after 28d only 40% of the AsIII was oxidized to AsV. Results from the LCF of the Mn K-edge XANES spectra revealed reduction of structural MnIII by 15% after the reaction with aqueous FeII which might cause the reduced oxidation capacity of jacobsite.

Our results demonstrate the strong As sorption capacity of jacobsite under anoxic conditions. However, the presence of other redox-active elements in soil solution may hinder the oxidation of arsenite on the jacobsite surface. These results have implications for remediation approaches seeking to remove As from contaminated soil to provide safe water supplies.

 

[1] Pettit Mock, R. et al. 2019. ACS Earth Space Chem. 3 (4), 550-561.

[2] Gubler, R. & ThomasArrigo, L. 2021. J. Hazard. Mat. 402, 123425.

How to cite: Lacina, M., Bouchet, S., and ThomasArrigo, L.: Rapid arsenite oxidation by jacobsite under anoxic conditions: The role of divalent cations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19828, https://doi.org/10.5194/egusphere-egu26-19828, 2026.

EGU26-20346 | Posters on site | SSS5.2

Soil profile stratification under long-term organic fertilization: responses of soil fertility, structure, and microbiomes in a lucerne-based rotation 

Aliyeh Salehi, Markus Gorfer, Andreas Surböck, Stefan Strohmeier, Sabine Seidel, Paola Gregur, Harald Berger, and Gabriele Gollner

Soil profile stratification under long-term organic fertilization: responses of soil fertility, structure, and microbiomes in a lucerne-based rotation

Long-term organic fertilization influences soil fertility, structure, and microbial communities, but the vertical distribution of these effects is not well studied, particularly in dry sub-humid regions where topsoil stratification can be pronounced. We evaluated how contrasting organic fertilization systems shape soil functioning and lucerne (Medicago sativa L.) performance within a long-term organic rotation in eastern Austria. Four fertilization systems were compared: FS1 (GM; stockless, two-year lucerne green manure), FS2 (GM+MC; stockless, GM plus municipal compost), FS3 (FU+FYM; livestock, lucerne forage-use plus farmyard manure), and FS4 (FU+BD; livestock, lucerne forage-use plus biogas digestate). Soil was sampled at 0–15 cm (topsoil) and 15–30 cm (subsoil); aggregate stability was assessed in the surface layer (0-5 cm). Across all systems, soil depth was the main driver of chemical, physical, and microbial patterns. SOC and TN, plant-available P and K, pore volume, and bacterial and fungal gene copy numbers decreased from 0–15 cm to 15–30 cm, whereas pH and bulk density increased with depth. Depth also strongly structured bacterial and fungal community composition, with fungal communities showing clearer responses to fertilization system than prokaryotic communities. Management effects were most evident in the topsoil: GM+MC and FU+FYM showed higher topsoil P and especially K, and tended to improve soil structure compared with GM and FU+BD. Despite these soil differences, lucerne dry-matter yield did not differ among fertilization systems, while the first cut consistently yielded more than the second cut. Overall, long-term organic fertilization primarily modified topsoil fertility and physical condition, whereas depth-driven gradients governed whole-profile patterns in soil properties and microbiome composition. These findings underline the need to explicitly account for soil profile stratification when designing lucerne-based organic systems under dry sub-humid conditions.

Key words: Bacterial community composition, compost (municipal compost), organic fertilization, soil organic carbon.

How to cite: Salehi, A., Gorfer, M., Surböck, A., Strohmeier, S., Seidel, S., Gregur, P., Berger, H., and Gollner, G.: Soil profile stratification under long-term organic fertilization: responses of soil fertility, structure, and microbiomes in a lucerne-based rotation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20346, https://doi.org/10.5194/egusphere-egu26-20346, 2026.

EGU26-21317 | ECS | Orals | SSS5.2

Coupled Dynamics of Mineral Transformation and Mineral-Associated Organic Matter (MAOM) Degradation 

Jiahui Wu, Petra Pjevac, and Stephan M. Kraemer

The stability of soil organic carbon (SOC) relies on its association with reactive minerals. However, the co-evolutionary feedback between mineral transformation and SOC persistence remains a key uncertainty. A typical example is that while iron oxides stabilize SOC, their inevitable transformation into more crystalline phases is often assumed to weaken SOC protection. Here, we examine how polygalacturonic acid (PGA), a typical SOC, actively modulates ferrihydrite transformation, and its feedback on carbon persistence, under varying PGA loading (C/Fe ratios) and Fe(II)-induced redox conditions. Our goals are to test whether SOC stability decreases as typically assumed and to reveal the underlying mechanisms of this mineral-organic interplay.

We find that goethite, the transformation product of ferrihydrite, does exhibit lower carbon protection capability due to its reduced surface area. Surprisingly, in ferrihydrite-PGA complexes, carbon protection is maintained across carbon loadings through two distinct pathways: at high carbon loading, PGA suppresses ferrihydrite transformation, forming a stable organo-mineral association; at low carbon loading, transformation proceeds but protection is sustained by the residual surface area of the evolving mineral. Moreover, we identify an important negative feedback: the degradation product, galacturonic acid (GA), more strongly inhibits mineral transformation than PGA itself, suggesting that partial degradation actively reinforces the stability of the remaining carbon.

Our results demonstrate that carbon saturation governs two functional pathways: a direct, static organo-mineral stabilization pathway under high saturation, and a resilient, dynamic stabilization pathway under low saturation. Critically, this study reveals that SOC and its degradation products can actively regulate mineral transformation, thereby influencing their own long-term persistence. This microscopic feedback illustrates a self-regulating capacity in soil systems, suggesting that such intrinsic negative feedbacks may enhance soil carbon resilience under a dynamic environment.

How to cite: Wu, J., Pjevac, P., and Kraemer, S. M.: Coupled Dynamics of Mineral Transformation and Mineral-Associated Organic Matter (MAOM) Degradation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21317, https://doi.org/10.5194/egusphere-egu26-21317, 2026.

EGU26-21617 | Orals | SSS5.2

Thermodynamic Insights into Microbial Energy Turnover in Heterogeneous Soil Systems 

Thomas Maskow, Shiyue Yang, Yuan Du, Matthias Kästner, Elinana Di Lodovico, Christian Fricke, and Anja Miltner

Microbial processes drive the turnover of soil organic matter by regulating both matter and energy flows. Although carbon cycling has been extensively studied, microbial energy flows and their modulation under heterogeneous soil conditions remain insufficiently explored. Our work develops a thermodynamically consistent framework for quantifying microbial energy turnover in soils. The framework combines calorespirometric heat flow measurements with carbon flow (CO₂ evolution, substrate consumption and biomass formation), using an enthalpy-based balance approach and newly developed calorespirometric instruments.

Although our primary focus is on thermodynamic constraints and calorimetric quantification, these methods offer a promising route to investigate the consequences of soil heterogeneity. For instance, variations in soil aggregations, water content, redox conditions or the C/N ratio can create spatially distinct microhabitats, that alter local energy turnover and metabolic efficiency. By linking heat and carbon flows to these heterogeneous microenvironments, our approach provides a pathway to assess the energetic impacts of soil heterogeneity across scales.

In this presentation, we introduce a conceptual framework and preliminary data on the use of calorespirometry to link heat production rates with carbon flows, providing a window into microbial energy dynamics in heterogeneous soils. Our work highlights the potential of thermodynamic measurements to complement the structural and biogeochemical characterizations of soil heterogeneity, providing new insights into the energetic constraints that shape microbial activity.

How to cite: Maskow, T., Yang, S., Du, Y., Kästner, M., Di Lodovico, E., Fricke, C., and Miltner, A.: Thermodynamic Insights into Microbial Energy Turnover in Heterogeneous Soil Systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21617, https://doi.org/10.5194/egusphere-egu26-21617, 2026.

Soil organic carbon (SOC) is a key regulator of soil functioning and ecosystem services, fundamental to nutrient cycling, soil structure, and long-term carbon sequestration1. Within this pool, mineral associated organic matter (MAOM) represents the most persistent fraction, formed through interactions between microbially processed organic inputs and reactive mineral surfaces. We aim to advance the understanding of soil carbon dynamics across scales, from laboratory scale MAOM formation to ecosystem level patterns in managed agricultural soils. Specifically, we seek to identify which characteristics of the clay fraction, including clay minerals and metal oxides, govern MAOM formation under contrasting management regimes. To achieve these objectives, at the laboratory scale, we investigated interactions between organic matter inputs and mineral substrates in Loess soil using a controlled incubation experiment with defined mineral filled mesh bags, comparing straw amended and unamended soils. Following incubation, MAOM was characterized using nanoscale analysis, including thermogravimetric analysis (TGA), Fourier-transform infrared spectroscopy (FTIR), and elemental analysis.  At the field scale, we assessed long-term agricultural systems under conventional and conservation management, incorporating organic inputs, service crops, and quantified SOC partitioning across Vertisol soil fractions and depths. Despite differences in scale and soil, consistent trends emerged, revealing enhanced association of organic carbon with mineral fractions in response to organic inputs1. In the laboratory incubation, carbon accumulation was highest on goethite, lower on montmorillonite, and negligible on quartz, despite montmorillonite’s higher surface area. This pattern was further supported by greater mass loss during thermal digestion, indicating mineral specific enhancement of MAOM formation2. At the field scale, conservation agriculture, which enhances organic inputs, showed a greater proportion of SOC associated with mineral fractions relative to particulate pools. While the clay sized fraction dominated MAOM storage, a measurable fraction of MAOM was also detected in the sand sized fraction, indicating additional carbon stabilization pathways under long-term management3. Linking these scales allows laboratory derived mechanisms to be interpreted in field conditions and, conversely, using field-scale patterns to refine mechanistic understanding of MAOM formation.

 

References

1Mayer, M. et al. Dynamic stability of mineral-associated organic matter: enhanced stability and turnover through organic fertilization in a temperate agricultural topsoil. Soil Biol. Biochem. 184, 109095 (2023).

2Kirsten, M. et al. Iron oxides and aluminous clays selectively control soil carbon storage and stability in the humid tropics. Sci. Rep. 11, 5076 (2021).

3Li, Y. et al. Conservation tillage facilitates the accumulation of soil organic carbon fractions by affecting the microbial community in an eolian sandy soil. Front. Microbiol. 15, (2024).

 

How to cite: Mishael, Y., Kaner, N., and Siegel, I.: Linking MAOM Formation from Lab to Field Scale - Conventional vs. Conservation Agricultural Management , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22470, https://doi.org/10.5194/egusphere-egu26-22470, 2026.

EGU26-1702 | ECS | Orals | SSS5.4

Oasis management and topography interactively shape soil inorganic carbon dynamics in hyper-arid soils. 

Wajdi Allagui, Nadhem Brahim, Manel Allani, Boutheina Zougari, Hatem Brahim, Roland Bol, Hamouda Aichi, and Wolfgang Wanek

Inorganic carbon (C) comprises a large fraction of the total C in arid and hyper-arid soils globally and therefore significantly contribute to terrestrial C sequestration. Soil inorganic carbon (SIC) derives from geological sources or from pedogenic carbonates formed by coupled biological–geochemical processes. Yet the extent to which oasis management influences and eventually reduces SIC through acidifying effects of N fertilisation and biological respiration remains poorly understood, despite the central role of oases for the agriculture and economy of arid and hyper-arid regions. We investigated SIC dynamics in southwestern Tunisia, sampling soils to 120 cm (0-5, 5-10, 10-30, 30-60, 60-90, and 90-120 cm) in three traditional and three modern oasis systems along topographic gradients (upper, midslope, and downslope positions) and beneath versus between date palms. Traditional oases are characterized by long-term organic inputs and high crop plant density and diversity, while modern oases have lower date palm density, plant diversity and greater reliance on synthetic fertilization. On average, SIC accounted for 76 % of soil total C to 120 cm depth, underscoring its role here as a dominant long-term soil C sink. The oasis types and relative tree positions did not differ in SIC contents and stocks (averaged 31.3 kg m⁻²), but uniquely distinct patterns in SIC content emerged from management–topography interactions, gypsum content, and biological activity. Modern oases showed higher SIC upslope due to limited inherent leaching, whereas traditional oases accumulated SIC together with gypsum in saline downslope positions. Carbon isotopes i.e. δ¹³CSIC​ values (–8 to –5‰) indicated large biological contributions, comprising up to 40% of SIC in traditional oasis systems and 20% in modern oasis systems. Soil organic C (SOC) correlated negatively with δ¹³CSIC​, pointing to microbial respiration and root-derived CO₂ as primary drivers of pedogenic carbonate formation. These results highlight the dual geochemical–biological origin of SIC and the potential of oasis management to stabilize management related losses of SIC in hyper-arid regions.

How to cite: Allagui, W., Brahim, N., Allani, M., Zougari, B., Brahim, H., Bol, R., Aichi, H., and Wanek, W.: Oasis management and topography interactively shape soil inorganic carbon dynamics in hyper-arid soils., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1702, https://doi.org/10.5194/egusphere-egu26-1702, 2026.

EGU26-2239 | ECS | Posters on site | SSS5.4

Soil health responses, nutrient turnover, and carbon footprint dynamics during early adoption of conservation agriculture in secondary laterites 

Soham Rana, Dillip Kumar Swain, Priya Bhattacharya, and Prithwiraj Dey

Globally 13% area is under Lateritic soils characterized by compact, vesicular honey-comb structure with low silica-to-sesquioxide ratios resulting in low water and nutrient retention capacity, making them challenging for sustainable crop production. Degraded general health of these soils makes them unusually vulnerable to shifts in management practices. Soil health can be closely tagged with tillage regimes and residue handling in cropping systems since these practices drive microbial turnover and stabilise organic matter. When aligned with conservation agricultural (CA) practices, the improvement is often surprisingly rapid in lateritic profiles, especially the secondary laterites where disrupted aggregates and depleted carbon stocks react quickly to reduced disturbance and a consistent surface mulch. Given this background, a field experiment was initiated in 2022 in secondary laterites to evaluate the effect of varying tillage treatments and residue management practices on soil carbon pools and biochemical properties in rice-wheat cropping system during the transitional phase of CA adoption. The results from the study showed that zero-tillage (ZT) coupled with retained-residues (RR) significantly enhanced Walkley black carbon (WBC) at top soil (15 cm) by 0.33% within three years, whereas, for conventional tillage (CT), WBC content was reduced by 1.55% from initial values. The CA practices also resulted in higher soil respiration rate and favourable bulk density, suggesting an increased microbial turnover and organic matter decomposition. Furthermore, ZT and RR exhibited significant increments in labile pools of organic carbon viz. permanganate oxidizable organic carbon (23-25%), microbial biomass carbon (36-40%) and in soil enzymatic properties viz. dehydrogenase (6-10%), urease (38-42%), acid (58-64%) and alkaline phosphatase (40-44%) respectively, over those under CT. In contrast, traditional CT was recorded with higher soil compaction, reducing microbial activity and overall biochemical quality indices. System yield was also found to be highest under ZT with RR. ZT coupled with RR reduced the carbon footprint over CT due to higher carbon sequestration. The findings indicate that CA with proper residue management can strengthen soil biochemical health, system productivity, and overall sustainability in lateritic soils of tropical and subtropical regions. Their limited buffering capacity, coupled with a tendency for rapid degradation, means that these soils often exhibit a relatively swift positive response when disturbance is reduced and surface residues are maintained.

How to cite: Rana, S., Swain, D. K., Bhattacharya, P., and Dey, P.: Soil health responses, nutrient turnover, and carbon footprint dynamics during early adoption of conservation agriculture in secondary laterites, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2239, https://doi.org/10.5194/egusphere-egu26-2239, 2026.

The presence of surface oxygen vacancies (Vo) has proven critical in enhancing the reaction and activation processes for the selective oxidation of hydrogen sulfide (H₂S) and carbon dioxides (CO₂). However, achieving efficient H₂S and CO₂ removal at ambient temperatures remains a significant challenge. In this study, we report the synthesis of a copper-iron impregnated titanium oxide (Cu-Fe/Vo-TiO₂) catalyst designed to address this challenge through a facile impregnation method. The objectives of this research were to synthesize and characterize novel multi-metal catalyst and evaluate the feasibility of its application to remove H2S and CO₂ in room temperature. 1) The synthesized novel multi-metal catalyst was characterized. 2) The effects of multi-metal catalyst, initial H2S and CO₂ concentration on the behavior of fixed-bed column, and reusability of novel catalyst was investigated. 3) A possible reaction mechanism of novel multi-metal catalyst was proposed through diverse chemical analysis. This study successfully demonstrated the development of Cu-Fe/Vo-TiO₂ as a highly efficient catalyst for H₂S and CO₂ removal at ambient temperature. The synergistic interactions between Cu and Fe species, driven by the electron-donating properties of oxygen vacancies, enabled efficient H₂S and CO₂ adsorption, activation, and conversion. This study establishes Cu-Fe/Vo-TiO₂ as a robust and energy-efficient catalyst for ambient-temperature desulfurization, with significant potential for industrial applications.

How to cite: Choi, J.: Decarbonization and desulfurization using Cu-Fe/Vo- TiO2 in ambient temperature , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2642, https://doi.org/10.5194/egusphere-egu26-2642, 2026.

EGU26-2802 | ECS | Posters on site | SSS5.4

SIC dynamics in Mediterranean agricultural soils: Characterizing farm advisors’ perception to inform research agendas 

Coline Temple, Abigail Fallot, and Tiphaine Chevallier

Calcareous soils are widespread in many regions of the world, including the Mediterranean basin, and are characterized by the presence of inorganic carbon (SIC), predominantly in the form of calcium carbonate (CaCO₃). Although long considered stable and inert, SIC is now understood as dynamic and its presence, concentration, and composition influence agricultural soil functioning and carbon storage. Carbonate dissolution and precipitation are sensitive to agricultural practices. For instance, nitrogen fertilization induces soil acidification and gradually deplete SIC stocks, resulting in carbon losses through CO₂ emissions (Raza et al., 2024). Beyond their role in buffering soil pH, carbonates have also been reported to contribute to soil aggregation, soil organic matter stabilization, and nutrient availability (Zamanian et al., 2024). Therefore, a better understanding of SIC dynamics would support the development of sustainable agricultural practices to enhance the conservation and resilience of calcareous soils (Dina Ebouel et al., 2024; Raza et al., 2022). In response to environmental and climatic challenges that necessitate rapid adaptation of agricultural practices, greater integration of stakeholder perspectives and needs into soil research agendas has been widely encouraged (Cimpoiasu et al., 2021). Establishing shared understanding of the challenges enables to align research questions with real-world conditions, enhancing the relevance of recommendations for practice changes. In the frame of the PRIMA European project “Sharing-Med”, which aims to characterize Mediterranean soils, a survey is being undertaken to investigate farm advisors’ perceptions, concerns, and knowledge regarding SIC. The objective is to relate these perspectives with scientific knowledge to identify future research priorities specifically relevant to Mediterranean calcareous agricultural soils.  By march 2026, a total of twenty semi-structured interview, will have been conducted in southern France, complemented by an online questionnaire disseminated to agricultural advisors across the broader Mediterranean region (including Spain, Italy, Greece, and others). Insights derived from this survey will subsequently be discussed with the scientific community to refine and prioritize SIC research directions.

 

References
Cimpoiasu, M. O., Dowdeswell-Downey, E., Evans, D. L., McCloskey, C. S., Rose, L. S., and Sayer, E. J. 2021. Contributions and future priorities for soil science: Comparing perspectives from scientists and stakeholders. European Journal of Soil Science 72:2538–2557. https://doi.org/10.1111/ejss.13162.
Dina Ebouel, F. J., Betsi, T. B., and Eze, P. N. 2024. Soil inorganic carbon: A review of global research trends, analytical techniques, ecosystem functions and critical knowledge gaps. CATENA 242:108112. https://doi.org/10.1016/j.catena.2024.108112.
Raza, S., Miao, N., Wang, P., Ju, X., Chen, Z., Zhou, J., and Kuzyakov, Y. 2020. Dramatic loss of inorganic carbon by nitrogen-induced soil acidification in Chinese croplands. Global Change Biology 26:3738–3751. https://doi.org/10.1111/gcb.15101.
Zamanian, K., Taghizadeh-Mehrjardi, R., Tao, J., Fan, L., Raza, S., Guggenberger, G., and Kuzyakov, Y. 2024. Acidification of European croplands by nitrogen fertilization: Consequences for carbonate losses, and soil health. Science of The Total Environment 924:171631. https://doi.org/10.1016/j.scitotenv.2024.171631.

How to cite: Temple, C., Fallot, A., and Chevallier, T.: SIC dynamics in Mediterranean agricultural soils: Characterizing farm advisors’ perception to inform research agendas, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2802, https://doi.org/10.5194/egusphere-egu26-2802, 2026.

EGU26-2874 | ECS | Orals | SSS5.4

Coupling Atmospheric XCO2 with Deep Soil Carbon in the Black Soil Region: A Multi-Source Assessment in the Liaohe Plain, China 

Yulei Tang, Minhua Wang, Qiyao Rui, Jiahong Zhang, and Zhansheng Chen

Quantifying carbon exchange between the land and atmosphere is crucial for estimating terrestrial carbon sinks and meeting climate goals. However, current bottom-up methods often ignore atmospheric observations and overlook the contribution of deep soil carbon. We integrated ten years of satellite XCO2 data, emission inventories, and 5,037 soil organic carbon (SOC) measurements (0–5 m depth) from the Liaohe Plain. We analyzed the spatial relationship between atmospheric XCO2 and SOC at various depths. Results show that correlations between XCO2 and SOC are weak at the point scale. However, significant correlations (p < 0.01) appear at 1–5 m depth when analyzed within a 5 km radius. The XCO2-SOC relationship varies by geological zone. Surface SOC drives short-term CO2 variations. In alluvial zones, deep SOC affects the carbon cycle through water transport. In contrast, wind erosion limits SOC accumulation in aeolian zones. Additionally, XCO2 levels correlate with environmental factors like Net Primary Productivity and precipitation. This suggests the regional carbon cycle is driven by combined climate, vegetation, and hydrological processes. This study highlights the importance of deep soil in watershed carbon cycling. It offers a new method for assessing regional carbon sinks and supporting land management strategies.

How to cite: Tang, Y., Wang, M., Rui, Q., Zhang, J., and Chen, Z.: Coupling Atmospheric XCO2 with Deep Soil Carbon in the Black Soil Region: A Multi-Source Assessment in the Liaohe Plain, China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2874, https://doi.org/10.5194/egusphere-egu26-2874, 2026.

EGU26-3399 | ECS | Posters on site | SSS5.4

Towards a farm-scale digital twin for carbon farming: site-specific implementation, validation, and potential for future projections 

Cosimo Brogi, Felix Maximilian Bauer, Michael Herbst, Katrin Schullehner, and Johan Alexander Huisman

Increasing soil organic carbon (SOC) stocks in agricultural soils can enhance soil health, support higher crop productivity with fewer inputs, and contribute to offsetting greenhouse gas emissions. SOC can be increased through carbon-farming practices, such as cover crops, residue retention, and carbon-rich organic amendments. However, SOC changes are difficult to monitor at relevant temporal and spatial scales, and existing modelling and data-driven approaches often struggle to capture the complex interactions between management, soil, and future climate conditions.

In this poster, we provide details on the implementation of a farm-scale digital twin, defined as an accurate and dynamic representation of a real-world agricultural system that is consistently updated, evaluates future scenarios, and provides actionable insights for stakeholders. The current version of the digital twin supports decision-making for carbon farming and agricultural management while accounting for key interactions within the soil-crop-atmosphere continuum. It is built on the process-based agroecosystem model AgroC, which couples SoilCO2 for water, heat, gas, and solute transport in a one-dimensional soil column, SUCROS for organ-specific crop growth, and RothC for soil carbon turnover. The digital twin was applied to 14 fields of varying size (1.5–15 ha) from a farm in western Germany. Field-specific crop rotation, seeding and harvest dates, fertilization, and application of mushroom compost were implemented in close collaboration with the farmer, enabling simulation of SOC dynamics over periods of 5 to 16 years depending on field data availability.

Although within-field soil heterogeneity can be represented using spatially distributed simulations, each field was modelled using a single soil unit, as regional soil maps indicated relatively homogeneous conditions. This assumption was supported by Electromagnetic Induction (EMI) measurements performed on two representative fields in August 2025. For model validation, SOC data from previous years were available for eight fields. Additionally, ten fields were sampled between August and November 2025 at 56 locations, resulting in 164 soil samples for which SOC was estimated via the loss-on-ignition method. Further validation was performed using harvest data. The digital twin simulations well matched measured values, and it was confirmed that the sustainable practices implemented by the farmer had positively influenced SOC trajectories over the study period. Other unique information could be provided to the farmer, such as the rate at which SOC would decrease if regenerative practices were interrupted or the relative importance of individual actions in each field, with residue retention being the most prominent.

Taken together, these results show that the developed farm-scale digital twin allows to account for complex interactions within the soil–crop system, can provide holistic, tailored analyses with the potential to not only support SOC management, but also adapt agricultural practices to climate change, improve water regulation, and enhance soil ecosystem functions for sustainable agriculture.

How to cite: Brogi, C., Bauer, F. M., Herbst, M., Schullehner, K., and Huisman, J. A.: Towards a farm-scale digital twin for carbon farming: site-specific implementation, validation, and potential for future projections, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3399, https://doi.org/10.5194/egusphere-egu26-3399, 2026.

EGU26-3403 | ECS | Orals | SSS5.4

Towards a farm-scale digital twin for carbon farming: regenerative management scenarios and decision support for a German arable farm 

Felix Maximilian Bauer, Cosimo Brogi, Michael Herbst, Katrin Schullehner, and Johan Alexander Huisman

Carbon farming aims to sequester soil organic carbon (SOC) in agroecosystems by increasing soil organic matter content to improve soil health, while contributing to reducing greenhouse gas emissions. In this context, a promising approach is the use of agroecosystem models that can inform and optimize farmer’s practices but also offer a holistic perspective to enhance both agronomic and environmental outcomes while accounting for climate change. In this study, we developed a farm-scale digital twin of 14 fields with a combined area of 80.4 ha for an arable farm in western Germany. The twin uses a spatialized version of the process-based agroecosystem model AgroC, driven by detailed soil, climate, and management data since 2009.

In its current version, the digital twin provides a reconstruction of past SOC dynamics and can be used to explore future management scenarios focused on regenerative agricultural practices, such as cover cropping, harvest residue management, and the application of organic amendments. It can thus provide decision support for optimizing carbon sequestration at the field-to-farm scale. The analysis of simulated SOC development for the past 16 years showed that simulated SOC stocks increased by 30.9 Mg C y-1 in the period 2009-2025. This is equivalent to a farm sequestration rate of 0.4 Mg C ha-1 y-1, corresponding to a relative gain of 6.5‰ y-1. To attribute the SOC sequestration achieved by regenerative management to individual practices, we compared SOC trajectories simulated for a system without regenerative management, the farm’s actual management, and each practice considered separately. Across all regenerative practices, cover cropping accounted for 4.2% of the additionally sequestered SOC, harvest residue retention for 69.7%, and organic fertilizer applications for 15.1%, with the remaining 11% attributable to interaction effects among these practices. For a moderate future climate scenario (RCP 4.5 ensemble), an additional carbon sequestration potential of 7.5±0.7 Mg C ha-1 by 2050 is predicted for a representative field under present management. Sequestration rates were found to slow after around 2028–2032 and to stagnate thereafter.

Beyond these results for current management, the digital twin provides a decision-support environment in which farmers can explore future SOC management options, such as effects of new cover crops, altered crop rotation sequences, and improved cultivars. The available options can be compared for their long-term SOC sequestration potential, and the farmer can select the strategies that fit the farm-specific objectives and constraints best. When new observations on SOC, biomass, and yield become available, the digital twin can be updated and used to reevaluate the scenarios.

In conclusion, the digital twin for carbon farming introduced here is a promising tool to identify locally adapted, farm-specific management strategies that further increase and sustain SOC and to evaluate their robustness under current and future climate conditions. These management changes may also have implications for other ecosystem services, including nutrient leaching and agricultural productivity. Our process-based approach already represents these processes, and in future work we aim to extend the digital twin to explore trade-offs and synergies between a range of ecosystem services beyond carbon sequestration.

How to cite: Bauer, F. M., Brogi, C., Herbst, M., Schullehner, K., and Huisman, J. A.: Towards a farm-scale digital twin for carbon farming: regenerative management scenarios and decision support for a German arable farm, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3403, https://doi.org/10.5194/egusphere-egu26-3403, 2026.

EGU26-4827 | ECS | Posters on site | SSS5.4

From Static to Dynamic: Rethinking Baselines in Soil Organic Carbon Markets 

Robert Brown and Christopher Kilner

Soil organic carbon (SOC) sequestration is a key nature-based climate solution, with carbon credit markets offering a financial incentive to practices that enhance SOC stocks. Market credibility, however, hinges on baseline methodologies, the counterfactual scenario used to measure the additionality of carbon stored. Most protocols rely on static baselines that assume SOC remains constant without intervention, overlooking the dynamic effects and interaction of climate, land use, and management practices over time.

We critically discuss static versus dynamic baselining approaches in SOC crediting systems. Dynamic baselining frameworks, incorporating empirical SOC trends, process-based modeling, and environmental covariates, offer time-varying reference scenarios that better reflect real-world SOC dynamics and reduce overcrediting.

We discuss the implications for carbon market integrity, environmental additionality, and stakeholder confidence, highlighting challenges such as data availability, computational demands, and uncertainty quantification. Practical strategies for integrating dynamic baselines into crediting standards are outlined, balancing scientific rigor with operational feasibility.

By synthesizing current evidence and frameworks, this work provides actionable guidance for policymakers, standard-setters, and project developers seeking to enhance the credibility and effectiveness of SOC sequestration as a climate mitigation strategy.

How to cite: Brown, R. and Kilner, C.: From Static to Dynamic: Rethinking Baselines in Soil Organic Carbon Markets, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4827, https://doi.org/10.5194/egusphere-egu26-4827, 2026.

EGU26-5702 | Orals | SSS5.4

Short-term mineralization of hydrochar and its interaction with native soil carbon under contrasting moisture conditions 

Heike Knicker, Francisco Jesús Moreno Racero, Holger Wissel, Otávio dos Anjos Leal, and Nicolas Brüggemann

Hydrochar has emerged as a promising soil amendment within climate-smart agriculture due to its potential to improve soil properties and contribute to carbon (C) sequestration. However, while hydrochar is often regarded as a relatively recalcitrant material, substantial uncertainties remain regarding its short-term stability in soil and its interactions with native soil organic carbon (SOC), particularly under contrasting soil moisture conditions. Addressing these knowledge gaps is essential to better assess the role of hydrochar in soil C cycling and its implications for soil C stability.

In this study, we investigated the short-term mineralization dynamics of hydrochar and its effects on SOC decomposition through a 45-day laboratory incubation experiment. A Cambisol was amended with chicken-manure-derived hydrochar at four agronomically relevant application rates (3.25, 6.5, 13, and 26 t ha⁻¹) and incubated under two contrasting soil moisture regimes simulating well-irrigated (60% water holding capacity, WHC) and moderate water-deficit conditions (30% WHC). Soil respiration was periodically quantified on incubation days 1, 3, 7, 11, 16, 23, 30, 37, and 45, and the isotopic composition of emitted CO₂ (δ¹³C–CO₂) was determined using a GasBench interface coupled to an isotope ratio mass spectrometer. Combined with isotopic signatures of soil and hydrochar, these data allowed partitioning of CO₂ sources, estimation of hydrochar-derived CO₂ contributions, and assessment of priming effects on native SOC.

Across both moisture regimes, total soil respiration increased consistently with increasing hydrochar application rate throughout the incubation. Concurrently, δ¹³C–CO₂ values became progressively less negative at higher hydrochar doses, indicating an increasing contribution of hydrochar-derived C to total CO₂ emissions. Source partitioning confirmed that the proportion of CO₂ originating from hydrochar increased with application rate, with this effect being more pronounced and temporally consistent under well-irrigated conditions. These results demonstrate that hydrochar is not inert in the short term and can undergo measurable mineralization shortly after soil incorporation.

Priming effect analysis revealed a clear interaction between hydrochar dose and soil moisture. Under well-irrigated conditions, low hydrochar doses induced a tendency towards positive priming, whereas higher doses resulted in neutral or negative priming effects. In contrast, under water-deficit conditions, positive priming emerged predominantly at higher hydrochar application rates, increasing with dose. These patterns suggest that hydrochar-mediated stimulation or suppression of SOC mineralization is strongly context-dependent and governed by both amendment rate and water availability.

Overall, our findings challenge the common assumption of hydrochar recalcitrance by demonstrating its short-term degradability and its capacity to modulate SOC dynamics. The results highlight that hydrochar application can not only contribute directly to CO₂ emissions through its own mineralization but, depending on dose and moisture conditions, may also enhance native SOC decomposition. These insights are critical for refining assessments of hydrochar-based soil management strategies and their implications for soil C stability under future climatic scenarios.

How to cite: Knicker, H., Moreno Racero, F. J., Wissel, H., dos Anjos Leal, O., and Brüggemann, N.: Short-term mineralization of hydrochar and its interaction with native soil carbon under contrasting moisture conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5702, https://doi.org/10.5194/egusphere-egu26-5702, 2026.

EGU26-5718 | Orals | SSS5.4

Is initial soil organic carbon more important than texture for the fate of carbon inputs into temperate agricultural soils? 

Christopher Poeplau, Neha Begill, Marcus Schiedung, Axel Don, Carmen Hoeschen, Georg Guggenberger, and Steffen Schweizer

The accrual of stabilized soil organic carbon (SOC) can mitigate the atmospheric CO2 concentration and thus climate change. Organic carbon in the fine silt and clay size fraction (OCfine) is typically mineral-associated and thus considered relatively stable compared to the coarse fraction. The SOC saturation concept suggests that this pool has a limited storage capacity, for which the fine soil particle content constrains SOC sequestration. Therefore, fine-textured soils with low OC loading of the fine fraction are thought to have a greater potential to stabilize additional OC than soil with high OC loading and coarse-texture due to their higher available storage space. Here, we assessed soils’ potential to stabilize additional OCfine using 21 temperate agricultural soils. The soils were selected from the archive of the German Agricultural Soil Inventory to analyze SOC gradients (0.7-10.2 %) in three texture classes (sandy, loamy, clayey). After a two-years incubation, we investigated the recovery of 13C labeled litter in two size-based fractions: OCcoarse (>20µm) and OCfine (<20 µm). Our results show that the litter-derived OC retention increased significantly with initial SOC content and fine fraction OC loading. This was primarily driven by the OCcoarse fraction, which indicated that less added litter was decomposed/transformed in the presence of sufficient SOC. In contrast, litter-derived OCfine formation was negatively correlated with initial SOC and fine fraction OC loading. However, when normalized to the amount of actually decomposed litter, initial SOC and texture did not significantly affect the efficiency of OCfine formation. NanoSIMS analysis revealed that microscale organic matter patches drove litter-derived OC formation. We found large parts of litter-derived SOC allocated with likely pre-exisiting SOC patches suggesting a high importance of organo-organic interactions. All soils also had new OCfine on mineral-dominated surfaces. Furthermore, five out of six soils were still dominated by bare mineral surfaces, despite partly very high SOC contents. Taken together, those findings revealed that OC loading of the fine fraction or soil texture are not the major limiting factors of new OCfine formation. Instead, initial SOC content have a positive effect on litter-derived OC retention by retarding its mineralization. This feedback of pre-existing SOC on the dynamic and fate of new OCfine should be studied more closely from a microbiological perspective and considered in SOC models.

How to cite: Poeplau, C., Begill, N., Schiedung, M., Don, A., Hoeschen, C., Guggenberger, G., and Schweizer, S.: Is initial soil organic carbon more important than texture for the fate of carbon inputs into temperate agricultural soils?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5718, https://doi.org/10.5194/egusphere-egu26-5718, 2026.

Biochar has been widely used for soil improvement, but uncertain results persist due to diverse biochar characteristics, soil properties, and crop responses. Therefore, the effects of biochar on crop yields and soil quality were evaluated using effect sizes from 1011 paired data points from field trials, based on a global meta-analysis method. The results indicated that biochar with a higher total phosphorus concentration (≥1.0%), total carbon concentration (≥70%), specific surface area (≥50 m2 g-1), and biochar application rates of 10–30 t ha-1 are optimal for improving crop yields. Biochar made from manure (effect size, 42%) exceeded that made from ligneous (22%) or cereal (12%) material. Porous, acidic, or young soil types are optimal for biochar application, while sandy and clay soils are preferred over loam soil. Soils with lower available nitrogen (<80 mg kg-1), phosphorus (<10 mg kg-1), potassium (<120 mg kg-1), pH (<4.5), and cation exchange capacity (<10 cmol kg-1) were more effective. The effect of biochar on yield is higher for cash crops (oil plants: 37%, vegetables: 28%) compared to food crops (legumes: 26%, maize: 20%, wheat: 12%), with no significant effect observed on rice. Finally, biochar increases crop yields by improving soil quality through enhanced levels of soil organic carbon, total nitrogen, ammonium-nitrogen, nitrate-nitrogen, and soil pH while reducing soil bulk density. Our research enhances understanding of the relationships between biochar, soil, and crops, aiding researchers, manufacturers, and farmers in making informed decisions regarding biochar selection, planting locations, and crop choices. However, it remains unclear to what extent machine learning can accurately predict crop yield or SOC when biochar is applied to soil. In our study, Random Forest (RF) and Multilayer Perceptron Neural Network (MLP- NN) models were employed to predict crop yield and SOC with 297 paired data from field trials. The results indicated that the RF model (test R2 = 0.83) did not differ significantly from the MLP- NN model (test R2 = 0.84) in predicting crop yield. However, the RF model (test R2 = 0.87) performs significantly better than the MLP- NN model (test R2 = 0.53) in predicting SOC. The most influential features for crop yield were found to be the biochar application rate (15%), initial SOC (13%), biochar pH (10%), and biochar TP (10%). In contrast, the variation of SOC was primarily influenced by latitude (26%), biochar application rate (22%), initial SOC (15%), and biochar pH (13%). Furthermore, both crop yield and SOC variation were influenced by multiple factors, not solely one, and their impacts were not necessarily linear. This study suggests that the optimization of biochar pH and phosphorus content, along with the regulation of its application rate in sandy or clay- rich soils, can simultaneously enhance both crop yield and SOC. In the future, we hope to develop a decision support system with prediction, different scenarios, and consultation capabilities based on geospatial location.

How to cite: Xu, Z.: Global Potential Effects Analysis of Biochar on Crop Yields and Soil Quality, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6121, https://doi.org/10.5194/egusphere-egu26-6121, 2026.

EGU26-6322 | ECS | Orals | SSS5.4

Soil Texture-Greenhouse Gas-Leachate Linkages Reveal Liming Effects on C and N Cycling  

Nai-Chen Chen, Getachew A. Adnew, Per L. Ambus, Diego Abalos, Zhi Liang, and Hyojin Kim

Liming is an important agricultural practice for mitigating soil acidification and potentially reducing N2O emissions. Although lime can act as either a CO2 source or sink depending on proton donors driving dissolution i.e., strong acids vs. carbonic acid, IPCC assumes it as a 100% CO2 source. Soil leachate and shallow groundwater chemistry can reveal the dominant proton donors governing these reactions; however, previous studies have primarily focused on gas emissions alone. To address this knowledge gap, we conducted a two-month mesocosm experiment with spring barley using 13C-labeled carbonate and 15N-labeled fertilizer in acidic sandy (pH = 5.42) and clayey soils (pH = 5.45), incorporating three simulated rainfall events. Lime and fertilizer were homogeneously mixed with the soil, and gas samples were collected immediately following setup (Day 0).

In lime-treated soils, both CO2 and N2O fluxes were elevated prior to crop emergence and peaked on Day 0, whereas in control treatment, CO2 and N2O slightly increased on Day 0 and peaked after the first rainfall event. This suggests that liming and tillage stimulate initial greenhouse gas emissions. Consistent with previous studies, about 13% of lime-derived C was emitted as CO2, and N2O emissions were low (N loss < 0.1% of applied fertilizer) over the experiment period. Cumulative N2O fluxes slightly decreased in limed clayey soils but increased modestly in limed sandy soils relative to controls, suggesting soil texture and biological processes suppress N2O production during barley growth.

Calcium, magnesium and bicarbonate concentrations in leachate following the first rainfall event indicate that lime dissolution was dominated by strong acids, most likely nitric acid derived from the fertilizer inputs, with lime as a resulting net CO2 source. In contrast, during later rainfall events, lime acted as a CO2 sink. Based on δ13C-dissolved inorganic carbon, additional bicarbonate was likely generated through lime dissolution driven by carbonic acid produced during aerobic organic matter degradation in sandy soils, but by Fe- and Mn-coupled degradation in clayey soils, consistent with increased soil pH at depth. After rainfall events, CO2-lime levels remained stable in clayey soil but declined in sandy soils, while N2O fluxes increased slightly in clayey soils but remained consistently low in sandy soils. This pattern corresponds to higher bicarbonate and nitrate concentrations in leachate from clayey soils compared with sandy soils, suggesting that soil texture regulates aerobic and anaerobic microbial processes, which in turn affect lime dissolution. By linking lime dissolution, alkalinity production, and soil physical controls on gas and solute transport, our results show that soil texture fundamentally regulates liming-driven carbon and nitrogen cycling across the soil-gas-shallow groundwater continuum, highlighting the need for an integrated perspective to better assess the impacts of liming in agricultural systems. 

How to cite: Chen, N.-C., Adnew, G. A., Ambus, P. L., Abalos, D., Liang, Z., and Kim, H.: Soil Texture-Greenhouse Gas-Leachate Linkages Reveal Liming Effects on C and N Cycling , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6322, https://doi.org/10.5194/egusphere-egu26-6322, 2026.

EGU26-7282 | ECS | Orals | SSS5.4

European-scale evidence of farm management impacts on soil organic carbon stocks 

Julian Helfenstein, Nick van Dijk, Anna Edlinger, Gabriel Y.K. Moinet, Sophie van Rijssel, Alexandre M.J.-C. Wadoux, Rachel Creamer, Carmen Vazquez, and Vera L. Mulder

It is becoming increasingly evident that one-size-fits-all solutions are rare when it comes to enhancing soil organic carbon (SOC) stocks in agricultural soils. Instead, context-specific management recommendations are needed, guided by a detailed understanding of how different management practices interact with environmental factors, such as climate or soil type, to affect SOC stocks. Since it is impossible to test all such combinations in controlled experiments, using large datasets of on-farm data is a promising alternative. Here, we predicted crop-specific management for all sample locations of the European wide soil monitoring of SOC in agricultural soils (LUCAS Soil, n = 8,834 repeat samples from the years 2009, 2015 and 2018) using individual farm management data representatively surveyed yearly for all EU + UK regions (n = 82,000 farms per year). We will present results of how relevant agricultural practices, including crop rotation diversity, cropping intensity, fertilizer use, fertilizer type, organic farming and tillage intensity, impact SOC stocks at the European scale. In addition, the large sample size and coverage of extensive environmental gradients allows disentangling the effect of management and environmental drivers on SOC stocks. We expect that these results provide a more nuanced view of how management impacts SOC under various soil and climatic conditions, contributing to the development of context-specific management recommendations to increase SOC stocks in agricultural soils. 

How to cite: Helfenstein, J., van Dijk, N., Edlinger, A., Moinet, G. Y. K., van Rijssel, S., Wadoux, A. M. J.-C., Creamer, R., Vazquez, C., and Mulder, V. L.: European-scale evidence of farm management impacts on soil organic carbon stocks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7282, https://doi.org/10.5194/egusphere-egu26-7282, 2026.

EGU26-7564 | Posters on site | SSS5.4

The potential of crop variety selection to enhance soil organic carbon stocks and yields: a soil-crop modelling study for spring barley in a Nordic climate 

Nicholas Jarvis, Elsa Coucheney, Giulia Vico, Mitsuaki Suizu, Tino Colombi, and Thomas Keller

Crop breeding is attracting attention as a potentially effective strategy to enhance soil organic carbon (SOC) stocks, thereby mitigating climate change as well as improving soil physical health and the sustainability of arable cropping systems. We used the new soil-crop model USSF (Uppsala model of Soil Structure and Function) to investigate the potential of variety selection to increase SOC whilst maintaining or even improving yields in spring-sown barley under Nordic agro-environmental conditions. USSF combines a generic crop growth model with physics-based descriptions of soil heat and water flow and transpiration by plants, with a model of SOC turnover that considers the effects of physical protection and microbial priming on the rates of decomposition of SOC.

Data on soil water contents, soil temperatures and above-ground biomass and grain yields were obtained during two growing seasons (2022 and 2023) in both drought and control treatments for two varieties of spring barley (“Annelie” and “Feedway”) grown on a loamy soil in Uppsala, Sweden. In 2022, above-ground biomass was not significantly different between the two varieties, whereas grain biomass was significantly larger in Feedway. No effect of the drought treatment on crop growth was detected for either variety. Crop growth was poorer in 2023, which was attributed to a colder spring and a drier summer. In this second year, Feedway had both larger above-ground biomass and grain yields than Annelie, and also showed a significant effect of the imposed drought treatment on both of these crop growth parameters, whereas Annelie did not.

Eight crop parameters in USSF were treated as uncertain. Thirty “acceptable” parameter sets for each variety were identified by calibrating the model against the field measurements using the GLUE method. The USSF model could satisfactorily  match the data in both drought and control treatments using a common parameterization. The results of this model calibration strongly suggested that the main difference between the two varieties of spring barley is that Feedway develops a deeper root system. This allowed for a better water supply, especially in the late summer drought period during grain-filling in 2023, leading to better crop growth, larger yields, harvest indices and return of crop residues.

We are currently performing long-term (30-year) simulations for historical and future climates to evaluate the potential effects of cultivating these two varieties on SOC stocks and grain yields under contrasting weather and climatic conditions.

How to cite: Jarvis, N., Coucheney, E., Vico, G., Suizu, M., Colombi, T., and Keller, T.: The potential of crop variety selection to enhance soil organic carbon stocks and yields: a soil-crop modelling study for spring barley in a Nordic climate, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7564, https://doi.org/10.5194/egusphere-egu26-7564, 2026.

EGU26-8243 | ECS | Orals | SSS5.4

Assessing the Benefits and Drawbacks of Using Mine Residues for Enhanced Rock Weathering 

Jonathan Spence, Sasha Wilson, Benoit Rivard, Wyatt Russel, Rafael Santos, Ian Power, Malinda Thilakarathna, Jilu Feng, and Shaun Barker

Enhanced rock weathering (ERW) is a promising carbon dioxide removal (CDR) technology that involves spreading silicate rock powder in agricultural and silvicultural settings to trap CO2 by increasing soil alkalinity and promoting the formation of secondary carbonate minerals [1]. Many previous ERW trials have used newly mined rock for their amendments, resulting in embedded carbon emissions. To avoid these emissions, alkaline and environmentally safe mine residues could be used for ERW [2]. Here, we assess the carbon drawdown potential of two mine residues (kimberlite, serpentinite) and three newly mined agricultural amendments (basalt, metabasalt, wollastonite). We explore the use of geochemical analyses and remote sensing to monitor CO2 drawdown and the introduction of potentially hazardous transition metals into soil solids, plants, and water.

 

Pea (Pisum sativum L.) plants were grown in acidic soil (pH = 4.9) amended with each rock type at four spreading rates (1, 5, 10, and 50 t/ha). This growth chamber trial ran for three months, with leachate samples collected throughout, and soil samples collected at completion. Over 3 months, the alkalinity of drainage waters from pots of all amendment types significantly (p < 0.05) increased compared to controls, while soil inorganic carbon increased significantly (p < 0.05) for four of five rock types (all but metabasalt). After 3 months, visible, near infrared (VNIR), and shortwave infrared (SWIR) scans of the soils showed increased abundances of carbonate minerals on the surfaces of soil colloids in the amended pots.

 

Among the transition metals analyzed (e.g., Cd, Co, Cr, Ni) in drainage waters, plants, and soil solids, significant increases in concentration (p < 0.05) were only detected for nickel (10 mg/L) and only in leachates from soils amended with high amounts of serpentinite (50 t/ha), which remains below the Canadian regulatory standard (14 mg/L). Further, significant increases (p < 0.05) in nickel concentration were seen in the soil solids for both kimberlite- and serpentinite-amended pots, resulting in contamination (63 and 140 mg/kg respectively) significantly above (p < 0.05) the Canadian regulatory limit (37 mg/kg). Finally, a significant increase (p < 0.05) in nickel concentration was seen in the edible portion of the pea plants grown in soils amended with serpentinite, but the concentration remained significantly below (p < 0.05) the EU regulatory limit (10 mg/kg).  The remaining drainage waters, plants and soil solids contained transition metal concentrations below regulatory limits.

 

While this study demonstrates the potential for CDR through ERW using mine residues, it also highlights   contamination risks that need to be weighed when determining deployment strategies, locations, and amendment rates if mine residues are to be used.

 

[1] Paulo et al. (2021), Appl Geochem, 129, 104955.

[2] Power et al. (2024), Environ Sci Technol, 58, 43-52.

How to cite: Spence, J., Wilson, S., Rivard, B., Russel, W., Santos, R., Power, I., Thilakarathna, M., Feng, J., and Barker, S.: Assessing the Benefits and Drawbacks of Using Mine Residues for Enhanced Rock Weathering, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8243, https://doi.org/10.5194/egusphere-egu26-8243, 2026.

EGU26-8841 | Posters on site | SSS5.4

Effects of Agricultural Residues-Mixed Livestock Manure on Chinese Cabbage Growth and Nitrous Oxide (N2O) Emissions 

Jin-Ju Yun, Jae-Hyuk Park, Sang-Ho Jeon, Sung-Jun Hong, Ahn-Sung Roh, and Jae-Hong Shim

This study evaluated whether compost produced by agricultural residues-mixed livestock manure could improve crop productivity and soil quality while reducing inorganic fertilizer use and nitrous oxide (N₂O) emissions in upland cultivation of autumn Chinese cabbage (Brassica rapa L.). Direct incorporation of crop residues often provides limited benefits due to slow decomposition and nitrogen immobilization; therefore, residues were aerobically co-composted with livestock manure and applied in combination with inorganic fertilizers. The results showed that treatments receiving the agricultural residue–manure compost significantly increased cabbage growth and yield. In particular, the treatment combining compost with 50% the recommended inorganic fertilizer rate produced higher yields than the 100% inorganic fertilizer treatment alone. Compost application improved soil chemical properties, including higher pH, organic carbon, available phosphorus, and exchangeable base cations, and enhanced nitrogen uptake and nitrogen use efficiency. Moreover, cumulative N₂O emissions were reduced by about 21% in the 50% rate inorganic fertilizer plus compost treatment compared with inorganic fertilizer alone. Overall, these findings indicate that co-composted agricultural residues and livestock manure can serve as an effective soil amendment, maintaining high crop productivity while lowering greenhouse gas emissions and reducing reliance on inorganic fertilizers, thereby supporting more sustainable nutrient management in upland cropping systems.

 

Acknowledgments 
This study was supported by (2026) the RDA Fellowship Program of National Institute of Agricultural Sciences, Research Program for Agriculture Science and Technology Development (Project No. RS-2022-RD010368), Rural Development Administration, Republic of Korea.

How to cite: Yun, J.-J., Park, J.-H., Jeon, S.-H., Hong, S.-J., Roh, A.-S., and Shim, J.-H.: Effects of Agricultural Residues-Mixed Livestock Manure on Chinese Cabbage Growth and Nitrous Oxide (N2O) Emissions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8841, https://doi.org/10.5194/egusphere-egu26-8841, 2026.

EGU26-8901 | ECS | Posters on site | SSS5.4

High C accumulation potential of deep soil via mineral association in Andisols, Japan. 

Hideaki Yasuno, Han Lyu, Haruo Tanaka, and Soh Sugihara

Soil organic carbon (SOC) sequestration in deep soil (below 30 cm depth) is considered a promising strategy for climate change mitigation and has recently attracted increasing global attention. However, studies on the accumulation potential and mechanisms of newly added residue-derived C in deep soil remain limited, particularly using 13C-labeled residue under in-situ conditions. Residue-derived C accumulates through two pathways: as mineral-associated organic matter (MAOM) through chemical protection, or as particulate organic matter (POM) through physical protection. These accumulation mechanisms are influenced by soil depth-dependent properties such as carbon saturation of clay minerals, as well as by residue quality. This study aims to evaluate the C accumulation potential of newly added residue across soil depth via MAOM accumulation and POM persistence in Andosols, and to assess how different residue quality affects these pathways. To compare the residue-derived C accumulation potential across soil depths, we conducted a 1-year in-situ incubation experiment on Andisols cropland in Japan. Soil of each depth (10, 50, and 90 cm depth) was mixed with 13C-labeled maize leaf, stem, and root residue (C/N ratio = 21–39) at 2 g C kg1, and buried at the corresponding depth. After 3, 6, and 12 months, buried samples were collected and fractionated into free particulate organic matter (fPOM; < 1.7 g cm−3), occluded POM (oPOM; < 1.7 g cm−3,> 53 μm), and mineral-associated organic matter (MAOM; > 1.7 g cm−3, < 53 μm), and residue-derived C in each fraction was quantified. After 12 months, the remaining proportion of residue-derived C in bulk soil was significantly highest in 90 cm (36–43 %), followed by 50 cm (32–36 %) and 10 cm depth (22–25 %), indicating that the deep soil of Andisols has a higher accumulation potential of newly added residue-derived C across all residue quality than topsoil. Residue-derived C in MAOM was highest in 90 cm depth (0.58–0.71 g C kg1), followed by 50 cm (0.52–0.64 g C kg1) and 10 cm depth (0.37–0.46 g C kg1) after 12 months, and negatively correlated with carbon saturation statuses of soil. These results indicate the high accumulation of residue-derived C via mineral association in deep soil which has lower C saturation. Furthermore, root residue-derived C in oPOM remained higher in deep soil than in topsoil, while it was not observed for leaf- and stem-derived C in oPOM after 12 months. It should indicate that oPOM persistence can provide an additional accumulation pathway for root residue in deep soil. Overall, we found that the deep soil of Andisols has a higher C accumulation potential than the topsoil, through enhanced MOAM formation and POM persistence.

How to cite: Yasuno, H., Lyu, H., Tanaka, H., and Sugihara, S.: High C accumulation potential of deep soil via mineral association in Andisols, Japan., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8901, https://doi.org/10.5194/egusphere-egu26-8901, 2026.

The need for soil carbon measurements is increasing as global efforts to combat climate change intensify. Soil health, soil fertility and climate change mitigation are drivers for ongoing analytical testing. Accurate and precise soil carbon data for applications such as carbon credit programs is crucial for transitioning from estimated based approaches to direct measurement technologies. This study evaluates the precision of soil carbon measurements using the Elementar soli TOC® cube, focusing on the critical factors of sample grain size and sample weight.  

 

We analyzed two different soil samples, ALP SRS-1810 and ALP SRS-2308, using the DIN EN 17505 standard for temperature-dependent differentiation of carbon fractions, including TOC, ROC, and TIC, without the need for time-consuming acid pre-treatment. Samples were ground and sieved to various grain sizes, from <2.00 mm down to <0.10 mm, and then analyzed in different weights ranging from 0.025 g to 1.0 g. Our results show a clear trend: precision, as measured by the absolute standard deviation (SD), significantly improves with decreasing grain size and increasing sample weight. However, the data also reveals a sweet spot that balances sample preparation effort with measurement precision. 

 

Based on our findings, a sieve size of 0.25 mm to 0.50 mm combined with a sample weight of 0.1 g to 0.25 g provides a highly efficient and effective working range (Figure 1). This combination delivers very good to excellent precision (relative standard deviation, SD rel.  < 1.80%) while minimizing the labour and time associated with excessive grinding and weighing. The soli TOC® cube's ability to handle this optimal range, along with its automated sample feeder, makes it an ideal instrument for high-throughput laboratory analysis, providing reliable and reproducible soil carbon data that exceeds required precision specifications. 

How to cite: Preece, C., Corell, P., and Loos, A.: Quantification of soil carbon with the Elementar soli TOC® cube: the impact of sample weight and grain size on precision , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11159, https://doi.org/10.5194/egusphere-egu26-11159, 2026.

EGU26-11656 | ECS | Orals | SSS5.4

Can occasional ploughing enhance soil organic carbon stabilization? 

Franziska Bucka, Florian Geier, Adriana Ramos Pencue, Rocío Lanthier, and Nele Meyer

A soil’s capacity to store and stabilize organic carbon (OC) is commonly attributed to its silt and clay content, which provides mineral surface area for OC interactions. Because this surface area is finite, soils are assumed to exhibit a texture-dependent limit for OC stabilization, referred to as soil OC saturation. However, this concept neglects the role of soil structure, which largely determines which mineral surfaces are actually accessible for contact with OC.

In structured soils, OC predominantly enters through soil pores. In the absence of structural turnover, these pores may represent sites of high OC content where mineral surfaces are saturated. Meanwhile, other parts of the soil matrix do not receive OC input and therefore remain well below their OC storage capacity. Based on this assumption, we hypothesize that the occasional ploughing of agricultural fields may eventually increase net soil OC stabilization. Specifically, the infrequent disruption of the soil structure could redistribute the OC more evenly throughout the soil matrix, thereby bringing previously unsaturated mineral surfaces into contact with OC.

We investigate this hypothesis by monitoring OC stocks and soil respiration (used as a proxy for OC turnover and stabilization) over several years in intact soil samples from agricultural fields that had been subjected to a single ploughing event after more than a decade. These were then compared with non-ploughed control fields. Initial results show that ploughing led to a redistribution of predominantly surface-stored OC (0-5 cm) throughout the entire plough horizon (0-20 cm). This initially resulted in increased soil respiration and microbial activity in the middle of the plough layer (10-15 cm), accompanied by a decrease in the OC content at the soil surface. After seven months, soil respiration declined, indicating the onset of OC stabilization processes. Analyses of disturbed soil samples from the same sites suggest that the physical disruption of soil structure itself played a minor role compared to the OC redistribution.

These results demonstrate that a single ploughing event can induce not only short-term OC destabilization, but also longer-term stabilizing effects, in line with our hypothesis. Ongoing and planned analyses will further assess the temporal development of OC stocks, stabilization processes, and the spatial distribution of OC within soil microsites.

How to cite: Bucka, F., Geier, F., Ramos Pencue, A., Lanthier, R., and Meyer, N.: Can occasional ploughing enhance soil organic carbon stabilization?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11656, https://doi.org/10.5194/egusphere-egu26-11656, 2026.

Agroforestry systems are increasingly implemented in temperate regions due to their wide range of environmental benefits, including their potential to sequester carbon in both woody biomass and soil. This study examines an organic syntropic alley-cropping system for fruit and nut production, established in 2019 on sandy loam in Brandenburg, Germany. The site consists of 1 m-wide north-south-oriented tree rows amended with 15 t ha‑1 of organic manure at establishment, bordered by a mulch layer, and alternating with 10 m-wide rows of forage crops (a grass-alfalfa mixture). The control side represents the previous managment regime.

To assess the stability of soil organic carbon (SOC), we measured the amount of SOC in the fine particulate fraction (<63 µm), the percentage of water-stable aggregates and their concentration of soil organic matter (SOM), the binding strength of SOM to the mineral matrix, and the slaking index (SI). We further compared these data with microbial biomass and community composition.

Our results show an increase in intra-aggregate SOM with stronger binding to the mineral matrix and reduced slaking potential in the tree strip compared to the crop alley and cropland control. This corresponds with a significantly higher microbial biomass and an increase of total fungi as well as in the bacterial genus Streptomyces, both of which are assumed to play a role in soil aggregate stabilization. In contrast, the tree row had no influence on carbon storage or soil structure within the crop alley.

How to cite: Büks, F., Toups, J., and Beule, L.: Enhancement of stable carbon pools and slaking resistance in a temperate organic syntropic alley-cropping system on sandy loam, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11902, https://doi.org/10.5194/egusphere-egu26-11902, 2026.

EGU26-12244 | Orals | SSS5.4

Carbon stocks in whole soil and soil organic matter fractions in an alley cropping system under a northern temperate climate 

Émilie Maillard, David Rivest, Jérôme Laganière, Denis A. Angers, and Martin H. Chantigny

Agroforestry is promoted as a practice for climate change mitigation and adaptation. Alley cropping, which combines tree rows with wide alleys for agricultural crops, shows variable potential to store additional carbon (C) in soil, compared to conventional cropping, depending on tree species, tree age, distance from trees, soil properties, and sampling depth. To better understand soil carbon accumulation, it can be useful to separate soil organic matter into fractions of contrasting behaviors. However, studies quantifying C in particulate organic matter (POM) and mineral-associated organic matter (MAOM) remain scarce for alley cropping systems. The present study aimed at comparing C stocks in POM, MAOM and whole soil in the 0-80 cm soil profile, between a 10-year-old alley cropping system, a tree-free agricultural control, and an adjacent mature forest, under a northern temperate climate. A second objective was to assess the variability of C stocks as a function of the distance from the tree row. Within the alley cropping system, C stocks in the 0-10 cm soil layer were generally greater under the tree row than in the cultivated alley, with most of the additional C and N stored as POM. In the 0-10 cm soil layer, soil C stocks in alley cropping were lower than in the forest, but not statistically different from the agricultural control. In the 10-20 cm layer, soil C stocks were greater than in the control, but not statistically different from the forest. When considering the 0-20 cm soil layer, the C stock in alley cropping was numerically 34% greater than in the control, with 80.5% of the additional C stored as MAOM. This corresponded to a potential soil C accumulation rate of 1.26 Mg C ha-1 yr-1. In the cultivated soils considered in this study, soil organic matter losses may persist for decades following deforestation or grassland-to-cropland conversion, but implementation of alley cropping in these soils could offset soil C losses.

How to cite: Maillard, É., Rivest, D., Laganière, J., Angers, D. A., and Chantigny, M. H.: Carbon stocks in whole soil and soil organic matter fractions in an alley cropping system under a northern temperate climate, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12244, https://doi.org/10.5194/egusphere-egu26-12244, 2026.

EGU26-12904 | Posters on site | SSS5.4

The Exeter Soil Carbon Sequestration Lab (ExSEQ)): Advancing Quantification of Soil Carbon Dynamics and Climate Mitigation Potential 

Kees Jan van Groenigen, Nina L. Friggens, Britta Kuempers, and Iain Hartley

Understanding how land management influences soil carbon dynamics and greenhouse gas fluxes is essential for evaluating realistic carbon dioxide removal potential. However, soil carbon changes are difficult to detect against large background stocks, often requiring long-term field studies, and gains may be offset by increased emissions of other greenhouse gases, particularly nitrous oxide. Few land-based mitigation projects have the capacity to measure these processes in sufficient detail. Together, these limitations introduce considerable uncertainty when estimating the true climate benefit of soil-based approaches. Here we introduce the Exeter Soil Carbon Sequestration Lab (ExSEQ), which has been established to address these challenges. 

Central to the facility are two large-scale, environmentally controlled growth chambers at the University of Exeter. Temperature, light, CO2, and humidity are precisely regulated, allowing crops to grow in soil under realistic yet highly controlled climatic conditions and a continuously 13CO2-enriched atmosphere. We have successfully grown pasture species and arable crops through their full life cycles under continuous stable-carbon isotope labelling at 500‰. This level of enrichment allows accurate tracing of plant-derived carbon into soils and enables precise quantification of new soil organic matter formation, even when newly added carbon represents less than 0.5% of the total SOM pool. 

ExSEQ supports continuous, high-frequency measurement of CO2, CH4, and N2O fluxes, together with isotopic characterisation of both gases and soil carbon. Fluxes are monitored without opening the chambers, preventing dilution of the isotopic signal and allowing simultaneous quantification of new SOM inputs, losses of existing soil carbon, and full greenhouse gas budgets to assess net climate mitigation outcomes. 

While no laboratory can fully replicate the complexity of field systems, ExSEQ operates at a realistic scale and enables rapid screening of potential interventions across contrasting soils, climates, and plant–soil systems. The facility offers considerable potential to advance understanding of the effects of different fertilisers, soil amendments (e.g. enhanced rock weathering, biochar, biostimulants), and management practices (e.g. tillage intensity, pasture sward biodiversity, grazing management). ExSEQ provides a highly adaptable experimental platform deployable across a wide range of land management scenarios and aims to promote collaboration across academic institutions and industry.   

 

How to cite: van Groenigen, K. J., Friggens, N. L., Kuempers, B., and Hartley, I.: The Exeter Soil Carbon Sequestration Lab (ExSEQ)): Advancing Quantification of Soil Carbon Dynamics and Climate Mitigation Potential, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12904, https://doi.org/10.5194/egusphere-egu26-12904, 2026.

EGU26-13384 | ECS | Posters on site | SSS5.4

 Factors affecting water retention in biochar-amended soil 

Maria Varvara Manarioti and Panagiotis Pelekis

Biochar is a stable carbon-rich material produced from carbon-rich biomass in the absence of air or under oxygen-limited conditions.  A plethora of feedstocks can be used to produce biochar including wood-based materials, organic wastes (i.e. sludges, manure), plant-based materials (i.e, leaves, seeds, husks) as well as food-waste residues or by-products.  In addition, pyrolysis conditions such as temperature, heating rate, duration and the scale the pyrolysis system, also vary considerably. Therefore, biochars differ widely in their physical and chemical characteristics. Biochar is recommended as a soil amendment due to its ability to enhance the physicochemical characteristics of soil and support crop growth.

Biochar influences soil in various ways. It can raise pH, enhance cation exchange capacity, increase extractable nutrients, modify microbial communities and soil processes, and improve physical traits like bulk density and structure, supporting better plant growth. This study reviews the factors that influence the interaction of soil and biochar in terms water retention. The analysis shows that biochar generally reduces soil bulk density and improves water retention, especially in coarse‑textured soils where field capacity, wilting point, and available water increase substantially. Effects are smaller in medium soils and minimal in fine soils.

 

How to cite: Manarioti, M. V. and Pelekis, P.:  Factors affecting water retention in biochar-amended soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13384, https://doi.org/10.5194/egusphere-egu26-13384, 2026.

EGU26-13707 | ECS | Posters on site | SSS5.4

Soil organic carbon dynamics under land-use and management scenarios in a metropolitan urban–rural territory 

Julien Amelin, Didier Michot, Patrice Cannavo, and Christian Walter

Metropolitan authorities, governing territorially contiguous areas where urban, peri-urban, and agricultural land uses coexist, play a key role in steering territorial trajectories through spatial planning and incentive-based policies. To effectively implement climate strategies, they require a clear understanding of how land-use patterns and management practices across agricultural, natural, and urban spaces may evolve and affect soil organic carbon (SOC) stocks and tree carbon storage. In line with climate commitments such as the European Green Deal and local climate–energy action plans, metropolitan authorities are required to develop strategies that combine greenhouse gas emission reductions with enhanced SOC sequestration. While increasing SOC and biomass carbon is widely recognized as a climate mitigation strategy, land-use change and management practices can also drive SOC losses and CO₂ emissions, depending on the trajectory adopted. Existing models that quantify SOC dynamics under different agricultural management practices, as well as methods estimating carbon stock changes based on land-use conversion factors. However, the combined effects of SOC fluxes, land-use change, and management in mixed urban–rural areas are rarely modelled within a single, spatially framework, particularly urban expansion’s impact on soils. Scenario-based SOC modelling is key to guiding decisions for achieving carbon-neutrality.

 

This study evaluates SOC and biomass carbon fluxes under four land-use and management scenarios co-developed with territorial planning stakeholders from the Rennes Metropolitan Area (north-western France). The study area covers 705 km² and includes agricultural and natural land (510 km²) and urban areas (195 km²). The first scenario follows current trends, with continued urban expansion and unchanged agricultural practices. The second assumes moderate improvements in farming practices and reduced conversion of agricultural soils to urban land. The third represents a transformative trajectory characterized by a strong increase in permanent grasslands at the expense of arable land, enhancing SOC storage. The fourth, maximalist scenario converts all agricultural land to forest to estimate the upper bound of SOC and biomass carbon sequestration. These scenarios were assessed relative to the current situation to simulate changes in soil and tree‑biomass carbon stocks by 2050. Models of varying complexity were used to address uncertainties associated with long‑term projections.

 

Initial results indicate that all scenarios increase SOC and biomass carbon stocks; however, the first two remain insufficient to offset projected metropolitan greenhouse gas emissions by 2050. Even under the most ambitious scenarios, results highlight those urban green spaces alone cannot achieve carbon neutrality. Rural soils constitute the main SOC sink at the territorial scale, but they are also associated with significant emissions, particularly from grazing systems, underscoring the need for ambitious soil management strategies and cross-territorial compensation mechanisms.

How to cite: Amelin, J., Michot, D., Cannavo, P., and Walter, C.: Soil organic carbon dynamics under land-use and management scenarios in a metropolitan urban–rural territory, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13707, https://doi.org/10.5194/egusphere-egu26-13707, 2026.

EGU26-13774 | ECS | Posters on site | SSS5.4

Biochar-induced Priming Effects Depend on Soil Type and Fresh Carbon Inputs  

Kavindi Abeywickrama Hiniduma Gamage, Iain Hartley, Nina Lindstrom Friggens, Ezekiel Bore, and Kees Jan Van Groenigen

As greenhouse gas emissions continue to rise, contributing to global warming, land-based CO2 removal through enhanced carbon storage could help in climate mitigation efforts. Biochar, produced by pyrolysis of biomass under O2-limited conditions, has gained attention for its potential to stabilise soil carbon. However, in natural ecosystems microbes access multiple carbon sources (e.g. soil organic matter, biochar, plant litter,) meaning that total CO2 fluxes alone are insufficient to assess biochar effects on soil carbon dynamics. To address this, we investigated how biochar addition affects the fate of multiple carbon sources using isotopic partitioning to improve understanding of priming and source-specific CO2 emissions. 

Two soils, a fine-textured pasture soil and a coarser-textured arable soil, were incubated with biochar produced from naturally enriched Miscanthus at three pyrolysis temperatures (350, 450, and 700 °C). Control and biochar-treated soils (2% w/w), with and without 13C-labelled plant litter, were incubated for 200 days with repeated measurements of CO2 fluxes and isotopic signatures. Isotopic partitioning separated litter-derived CO2 from background CO2 (soil + biochar), and soil- and biochar-derived CO2 were further partitioned using no-litter treatments. A sensitivity analysis was conducted to assess the robustness of litter-derived CO2 estimates. 

Biochar pyrolysis temperature strongly influenced total CO2 emissions: 350 °C biochar substantially increased total cumulative CO2 emissions in both arable (58%) and pasture (99%) soils, whereas higher-temperature biochar (450, 700 °C) produced smaller increases. Isotopic partitioning showed that biochar-derived CO2 decreased with increasing pyrolysis temperature in both soils. In arable soil without litter, soil-derived CO2 changed little (0-8%) across biochar treatments, indicating that higher total CO2 emissions were driven primarily by biochar-derived CO2 rather than enhanced native soil carbon decomposition (i.e., priming). In contrast, pasture soil without litter, showed a stronger priming response, with soil-derived CO2 increasing by 41–45% across biochar treatments relative to the control. Adding litter reduced biochar-induced differences in total CO2 emissions in pasture from 57–99% to 3–8%, but not in arable soil. Litter-derived CO2 was not affected by biochar treatments in either soil. 

Overall, our results suggest that, in the short term, biochar effects on total CO2 emissions are largely driven by priming effects and biochar decomposition rather than the decomposition of new plant material. However, these effects were soil-specific and changed with litter addition, underlining the need for soil- and context-specific evaluation when assessing the stability and climate benefits of biochar additions.  

How to cite: Hiniduma Gamage, K. A., Hartley, I., Lindstrom Friggens, N., Bore, E., and Van Groenigen, K. J.: Biochar-induced Priming Effects Depend on Soil Type and Fresh Carbon Inputs , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13774, https://doi.org/10.5194/egusphere-egu26-13774, 2026.

EGU26-13829 | Orals | SSS5.4

Microbially Accelerated Weathering for CDR: Reactive Transport Modeling to Quantify Rates and Sinks 

Corey Lawrence, Tania Timmermann, Philip Weyman, and Gonzalo Fuenzalida-Meriz

Microbes alter biogeochemical cycles at spatial scales ranging from soil pores to the globe. For example, it’s increasingly recognized that microbes affect mineral weathering by influencing solubility and metal speciation. This presents an opportunity to leverage microbial processes to accelerate silicate weathering as a carbon dioxide removal (CDR) strategy. Microbially-accelerated weathering is similar to enhanced rock weathering but instead of adding crushed mineral feedstocks, microbes are added to the soil to increase weathering of native silicate minerals. Recent work has demonstrated that the addition of a particular Bacillus subtilis strain can enhance silicate dissolution in both laboratory and field environments (Timmermann et al., 2025, Global Change Biology). Here, we use the CrunchFlow reactive transport model to better understand how microbial acceleration of mineral dissolution may alter the soil weathering system, including quantifying changes in weathering rates, impacts on soil pH, and the predominant sinks of weathering products. The latter determines whether microbial-driven increases in weathering correspond with actual CDR. Our results suggest that in laboratory mesocosm experiments, microbes can accelerate the weathering of some silicate mineral by as much as 10x. We also explore the role of secondary carbonate precipitation as a key mechanism in microbially-accelerated weathering, and we consider the implications for CDR measurement, reporting, and verification.

How to cite: Lawrence, C., Timmermann, T., Weyman, P., and Fuenzalida-Meriz, G.: Microbially Accelerated Weathering for CDR: Reactive Transport Modeling to Quantify Rates and Sinks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13829, https://doi.org/10.5194/egusphere-egu26-13829, 2026.

EGU26-15551 | Posters on site | SSS5.4

Impact of manure anaerobic digestion and acidification of digestate on soil quality and GHG emissions  

Isabelle Royer, Normand Bertrand, and Guylaine Talbot

Acidification of stored manure and on‑farm anaerobic digestion have been identified in Canada as beneficial management practices (BMPs) that can mitigate climate change by reducing greenhouse gas (GHG) emissions. The objective of this study was to assess the effects of these technologies on manure agronomic value, soil physicochemical properties, and nitrous oxide (N₂O) emissions.

Field experiments were established in 2024 at two contrasting sites classified as a silty clay loam and a sandy loam. Five treatments were applied in a randomized design with three replicates per site: undigested manure, digestate, acidified digestate (pH 6.5), mineral fertilizer, and an unfertilized control for a total of 30 plots. During the growing season, soil samples (0–20 cm) were analyzed for pH, major nutrients (N, P, K, Ca, Mg, S), and trace elements (Cu, Zn, Fe, Mn, Al). Treatments were applied in spring and after forage harvests. Before each application, manure samples were analyzed for density, pH, and total major and trace element concentrations.

To quantify N₂O emissions, non–steady‑state chambers were installed in spring and remained in place throughout the season. Chambers were sampled weekly, and gas concentrations were measured using a gas chromatograph with an electron capture detector. Forage yield was measured  for each plot, and plant tissues were analyzed for total major and trace elements using ICP‑OES.

Soil pH ranged from 5.8 to 6.6 in the silty clay loam and from 5.9 to 6.8 in the sandy loam. Manure‑based treatments emitted 1.2 to 3.9 times more N₂O than the mineral fertilizer treatment, except in the silty clay loam in 2024, where manure treatments (excluding the control) produced similar emissions. The acidified digestate treatment consistently generated the highest N₂O emissions among manure treatments.

In sandy loam plots, N₂O production was 1.3 and 2.6 times higher in the undigested manure and acidified digestate treatments, respectively, compared with the silty clay loam. Cumulative N–N₂O losses were also greater in 2025, particularly for the acidified treatment (73% higher), while increases in the control and mineral fertilizer treatments were more moderate (28% higher).

Forage yields were higher in 2025 than in 2024. In the silty clay loam, yields followed the order: digestate > acidified > mineral > undigested > control, ranging from 1.8 Mg ha-1 (control) to 2.8 Mg ha-1 (digestate). A similar trend occurred in the sandy loam, where the acidified treatment produced the highest yields, followed by the digestate.

Overall, the results show that treated and acidified manure applications improved forage yield relative to mineral fertilizer in both soils. However, the acidified treatment also increased N₂O emissions, suggesting that its reduced pH may require a longer stabilization period before field application. This aspect will be examined in the coming years. Additional project data will also help identify BMPs that can effectively reduce N₂O emissions on Canadian farms.

How to cite: Royer, I., Bertrand, N., and Talbot, G.: Impact of manure anaerobic digestion and acidification of digestate on soil quality and GHG emissions , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15551, https://doi.org/10.5194/egusphere-egu26-15551, 2026.

Pyrogenic carbon (PyC) is widely regarded as a persistent component of soil organic carbon, yet how small amounts of vertically redistributed PyC influence organo mineral interfaces in subsoils remains unresolved. Here we combine a ten year field ageing experiment along a 200 cm soil profile with electrochemical assays, spectroscopy, and nanoscale microscopy to link PyC electron transfer capacity to mineral association with depth. Redistributed PyC retains electron accepting and donating capacities in subsoils despite low concentrations, and exhibits faster electron transfer kinetics. Retention is grounded in oxidative surface transformation, enriching quinone and phenolic oxygen redox moieties and mineral complexing oxygen groups. Nanoscale observations of deep subsoil PyC show oxidised surfaces with organo mineral coatings associated with Fe and Ca bearing phases, consistent with a coupled redox and sorptive interface rather than passive persistence. Surface oxygenation links PyC mediated electron exchange to mineral protection and may extend reactive interfaces into subsoils, where lower oxygen availability and reduced microbial activity could preserve functionality. These findings suggest that field aged PyC contributes to redox coupled mineral stabilisation in subsoils and provide a basis for predicting when effects scale with reactive Fe across soil types.

How to cite: Wang, Y., Su, L., and Shang, J.: Oxidised pyrogenic carbon sustains electron transfer capacity and organo mineral coupling in subsoils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16076, https://doi.org/10.5194/egusphere-egu26-16076, 2026.

EGU26-17689 | Orals | SSS5.4

Quantifying and characterizing soil organic and inorganic carbon in calcareous soils 

Tiphaine Chevallier, Joséphine Hazera, David Sebag, Isabelle Kowalewski, Jakab Gergely, Dora Zachary, Florian Schneider, Luca Trombino, Raphaël J. Manlay, Julien Fouché, Sandra F. Yanni, Kirsten Hannam, and Eric Verrechia

Recently, many literature reviews have focused on soil inorganic carbon (SIC) and concluded that SIC should be studied as much as soil organic carbon (SOC) to complete the soil C balance at global scale. However, as SIC has been rarely studied lately, analytical methods for measuring its carbon content and 13C in calcareous soils have not been refined. Similarly, the quantification of different SIC pools remained poorly assessed. This study aimed to illustrate the diversity of SOC and SIC pools in calcareous soils. A soil collection of 160 soil samples were selected from mostly agricultural lands in Canada, Hungary, France, Germany, Italy, and Tunisia to cover a large range of SOC and SIC contents. The carbonate composition was mainly in the form of calcite and, to a lesser extent, dolomite. The natural abundance in 13C of SOC and SIC showed a small range of values for SOC (-35 to -20 ‰, median: -27‰) signalling a predominance of C3-plants, and a large range of values for the SIC (-31 to +3 ‰; median -5 ‰), indicating a possible mixture of inorganic carbon from different sources (Hazera et al. 2025). Standard procedures to quantify SOC and SIC involving pretreatments to remove one of the C forms and/or calculations could lead to both analytical errors and substantial measurement errors (Jakab et al. submitted). Thermal analysis (i.e. Rock-Eval®, RE) has been adapted to estimate SOC and SIC contents on a non-pretreated soil sample without needing statistical post-hoc corrections (Hazera et al., 2023, in press). This RE method was applied to characterize more than 400 particle-size fractions of 65 calcareous soils i.e., particulate organic matters (POM, > 50 µm) and mineral associated organic matters (MaOM, 20-50, 0-20 and 0-2 µm). The variability of C distribution in the different fractions was more pronounced for SIC than SOC: the SOC was mainly contained in the < 20 µm and POM fractions while the SIC was distributed in all the particle-size fractions. As expected, POM fractions presented less degraded organic matter than MaOM, with higher Hydrogen index and lower Oxygen index (POM: 305 ± 63 mgHC.g-1TOC and 261 ± 37 mgO2.g-1TOC versus MaOM: 144 ± 56 mgHC.g-1TOC and 400 ± 112 mgO2.g-1TOC). Signals obtained during SIC thermal breakdown were also examined to study the SIC forms in the soil fractions. SIC signals were comparable between soil fractions for some soils, but could also vary considerably for others, suggesting a diversity in either the mineralogy or the SIC forms distributed according to the particle-size soil fractions in these soils. These preliminary results need further investigations to identify the origin of SIC e.g. by studying the isotopic signature δ13C of SOC and SIC in the soil fractions, and to determinate their sensitivity to dissolution. This communication illustrates the need to better quantify the different forms of SIC to understand its dynamics and interactions with SOC. 

How to cite: Chevallier, T., Hazera, J., Sebag, D., Kowalewski, I., Gergely, J., Zachary, D., Schneider, F., Trombino, L., Manlay, R. J., Fouché, J., Yanni, S. F., Hannam, K., and Verrechia, E.: Quantifying and characterizing soil organic and inorganic carbon in calcareous soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17689, https://doi.org/10.5194/egusphere-egu26-17689, 2026.

EGU26-17779 | ECS | Posters on site | SSS5.4

Limited imprint of modern C sources on soil inorganic C 

Hui Wang, Jianbei Huang, Fernando T. Maestre, Nan Lu, Cong Wang, Weiliang Chen, Guang Zhao, Yangjian Zhang, De Shorn E. Bramble, Marion Schrumpf, Michaela A. Dippold, Sönke Zaehle, Bojie Fu, and Susan Trumbore

Drylands contain most of the global soil inorganic carbon (SIC), yet its sources and vulnerability are poorly constrained. We measured SIC content and its radiocarbon (14C) at 55 dryland sites across Asia and Europe to investigate the origins of SIC and its environmental factors. In the top 10 cm, SIC generally increased with aridity, but extremely dry sites with low soil organic carbon (SOC) often had low SIC, implying that low vegetation input limits both SOC accumulation and pedogenic carbonate formation. The Δ14C of topsoil SIC was positively related to the Δ14C of SOC and declined with aridity, consistent with reduced influence of modern C sources. SIC content was linked mainly to net primary productivity (NPP) and SOC, whereas Δ14C-SIC was controlled primarily by soil pH, which governs carbonate dissolution and precipitation reactions. Thus, a greater imprint of modern carbon is found in carbonates of less alkaline surface soils, either indicating a greater potential for forming new pedogenic carbonates or greater isotopic exchange. At a subset of sites on the Chinese Loess Plateau and the Inner Mongolia Plateau, soil samples were collected across multiple depth intervals. SIC contents remained relatively constant with depth, whereas Δ14C-SIC decreased, indicating reduced contributions of recent carbon to SIC. We estimate that carbonates reflecting the influence of modern C sources accounted for about 30% of topsoil SIC but only about 10% in subsoils. These results show that dryland subsoils retain older, more stable, and likely geogenic carbonates, whereas topsoils contain younger pedogenic carbonates that are more influenced by and potentially vulnerable to environmental change.

How to cite: Wang, H., Huang, J., Maestre, F. T., Lu, N., Wang, C., Chen, W., Zhao, G., Zhang, Y., Bramble, D. S. E., Schrumpf, M., Dippold, M. A., Zaehle, S., Fu, B., and Trumbore, S.: Limited imprint of modern C sources on soil inorganic C, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17779, https://doi.org/10.5194/egusphere-egu26-17779, 2026.

EGU26-18295 | ECS | Orals | SSS5.4

Decadal trends of organic carbon in German agricultural soils – Preliminary findings from the German Agricultural Soil Inventory 

Karolina Golicz, Christopher Poeplau, Laura Sophie Harbo, Florian Schneider, Marcus Schiedung, Axel Don, Stefan Heolek, Rene Dechow, Elisaveta Vasylyeva, Arne Heidkamp, Roland Prietz, and Heinz Flessa

Accurate monitoring of soil organic carbon (SOC) is essential for the development of national greenhouse gas inventories as well as for the assessment of strategies implemented to maintain and increase SOC stocks in agricultural systems. Limited access to high quality SOC data across large spatial and temporal scales remains the main barrier for scientists, policy makers and practitioners to make informed decisions about soil management. To address this knowledge gap, the Thünen Institute of Climate-Smart Agriculture conducted the German Agricultural Soil Inventory (BZE-LW), with the first campaign carried out between 2010 and 2018 and the second campaign initiated in 2022. During the first campaign, 3,104 arable, grassland, and permanent crop sites were sampled on an 8×8 km grid and analyzed for SOC contents and stocks, along with additional soil parameters, down to a depth of 1 m. In addition to soil sampling, annual farm management data were collected via questionnaires. The second campaign, which involves resampling of the same sites, enables to quantify and explain changes in SOC contents and stocks at the decadal scale. Based on the most recent results (n=587), minor changes in SOC contents were observed in cropland soils. Average SOC stocks declined significantly in 0–30 cm (−1.6%) and 0–50 cm (−2.7%) with a statistically insignificant increase of 0.9% in the top 10 cm. Grassland soils showed more pronounced SOC losses, with significant declines in both 0–30 cm (−5.9%) and 0–50 cm (−5.1%). Current hypotheses attribute SOC losses to land use history, soil type, rapid climate warming characterized by a 2.1°C rise in the mean air temperature in Germany over 50 years, and farm management activities such as declining nitrogen fertilization. Conversely, increased adoption of cover cropping and reductions in tillage intensity might have partially mitigated against SOC stock losses in croplands. Disentangling these drivers while accounting for several methodological adjustments to the first soil sampling campaign are key tasks, which will serve to inform future soil monitoring efforts in Germany and beyond. To further highlight the importance of data quality, we will emphasize the methodological challenges associated with detecting SOC changes across spatial scales ranging from individual sites to regional levels.

How to cite: Golicz, K., Poeplau, C., Harbo, L. S., Schneider, F., Schiedung, M., Don, A., Heolek, S., Dechow, R., Vasylyeva, E., Heidkamp, A., Prietz, R., and Flessa, H.: Decadal trends of organic carbon in German agricultural soils – Preliminary findings from the German Agricultural Soil Inventory, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18295, https://doi.org/10.5194/egusphere-egu26-18295, 2026.

EGU26-19411 | Posters on site | SSS5.4

Biochar from Cereal Straw Can Offset Soil Carbon Losses from Increased Straw Harvest in German Croplands 

Mirjam Helfrich, Daria Seitz, René Dechow, and Axel Don

Soil organic carbon (SOC) stocks in European croplands are declining, and increasing demand for biomass to substitute fossil fuel–based products may further exacerbate this trend. Cereal straw represents a substantial and still underutilized biomass resource; however, its additional removal may intensify SOC losses. This study quantifies the impact of increased straw removal on SOC stocks in German croplands and evaluates the potential of biochar (BC) produced from cereal straw to compensate for these losses.

SOC dynamics were modelled for 1,115 cropland sites using soil and management data from the first German Agricultural Soil Inventory. Seven scenarios representing different levels of straw removal and BC application were simulated using a model ensemble combining three allometric approaches for carbon input estimation with the RothC soil carbon model.

Annual straw harvest from German croplands could theoretically be tripled to 26.3 million Mg straw (dry matter). Removing all additionally harvestable straw (17.4 million Mg) reduced mean carbon inputs to cropland soils by 21% and resulted in an average SOC loss of 8.9 Mg C ha⁻¹ within 100 years. During the first 20 years, SOC stocks declined by 0.10 ± 0.20 Mg C ha⁻¹ a⁻¹, corresponding to additional emissions of 4.2 million Mg CO₂ a⁻¹ at the national scale compared to business-as-usual. Although SOC losses decreased over time, they persisted beyond 200 years and were more pronounced on clayey than on sandy soils.

In contrast, converting straw to BC and applying it to the same cropland soils led to an SOC increase of 16.7 Mg C ha⁻¹ within 100 years, equivalent to a net carbon sink of 25.6 Mg C ha⁻¹ and negative emissions of 93.9 million Mg CO₂ ha⁻¹. An average BC application rate of 4.9 Mg C a⁻¹ increased SOC by 10.8 million Mg CO₂ a⁻¹ relative to business-as-usual, corresponding to approximately 10% of Germany’s current annual agricultural greenhouse gas emissions. Accounting for SOC losses due to straw removal reduced cumulative SOC gains over 100 years by 25%.

Our results demonstrate that additional straw harvesting can undermine SOC stocks and climate mitigation efforts, whereas BC application from cereal straw has substantial potential to offset these losses. However, climate mitigation strategies relying on agricultural residues should integrate SOC losses from biomass removal to avoid overestimating the mitigation potential of BC systems.

How to cite: Helfrich, M., Seitz, D., Dechow, R., and Don, A.: Biochar from Cereal Straw Can Offset Soil Carbon Losses from Increased Straw Harvest in German Croplands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19411, https://doi.org/10.5194/egusphere-egu26-19411, 2026.

EGU26-21246 | ECS | Posters on site | SSS5.4

Comparative Meta-Analysis of Physical and Chemical Properties of Food Waste and Conventional Biochar 

Stanley Peter Agbarakwe, Tamiris da Costa, and Sharon O'Rourke

Conventional biochar from woody biomass (woodchips, sawdust, bamboo etc.) and crop residues (rice husk, wheat straw, coconut shell etc.) enhances long-term soil carbon (C) storage with slow-release soil fertiliser input. However, the soil response to food waste biochar application is yet to be established. In order to optimise food waste biochar as a soil amendment product, a comparative meta-analysis of food waste biochar to other established conventional biochar types is needed. This study compares the effect of feedstock type and pyrolysis temperature on biochar physical-chemical properties, chemical stability and aromaticity to infer how food waste biochar may alter soil properties.

Data was synthesized from 33 peer-reviewed articles on food waste and 50 on conventional biochar. Feedstocks were categorised into cooked food waste, fruit-vegetable peels/seeds, woody biomass and crop residues. Pyrolysis temperatures were classified as slow (300 to 500oC), fast (550 to 650oC) and flash (700 to 1000oC). Pairwise comparison of feedstock types was achieved by Welch’s t-test and Cohen’s d effect size to assess impacts of temperature on biochar properties.

Pyrolysis temperature predominantly governs biochar properties, with minimal impact from feedstock choice. Lack of significant differences (p > 0.05) and low-to-high effect sizes were observed in moisture content (d = 0.10 – 1.08), surface area (d = 0.12 – 0.35), ash content (d = 0.19 – 0.74) and pH (d = 0.02 – 0.75) at fast temperature regime in most food waste and conventional biochar pairwise comparisons. Food waste biochar was similar to conventional biochar in total potassium (p > 0.05; d = 0.06 – 0.25) at slow temperature regime but a significant difference and large effect sizes (p < 0.05; d > 0.5) in total nitrogen was observed between food waste and conventional biochar at the three temperature regimes. Food waste biochar had lower total C content across all temperature regimes compared to conventional biochar (p < 0.05; d > 0.5) but showed similarity in fixed C at flash temperature. In addition, most food waste biochar clustered in the coal and anthracite regions of the van Krevelen diagram at flash pyrolysis temperature, indicating lower H/C (0.0 – 1.2), O/C (0.0 – 0.76) ratios that signify enhanced aromatic C and potential for long-term stable C. Overall, these findings show that food waste feedstocks differ in nitrogen content compared to conventional feedstocks – which are high in total C –, with resulting biochar capable of enhancing N availability in soil. Despite limited field and laboratory data on the potentials of food waste biochar on enhancing soil C stocks and associated soil co-benefits, evidence suggests that pyrolysis temperature can be used to optimise food waste biochar for total C, fixed C and porosity to match the soil carbon stock potential of conventional biochar. The N and K content variations amongst food waste and conventional feedstocks emphasises the potential to engineer biochar production from co-blend of food waste and crop residues to produce balanced nutrient content for targeted soil fertility management.

How to cite: Agbarakwe, S. P., da Costa, T., and O'Rourke, S.: Comparative Meta-Analysis of Physical and Chemical Properties of Food Waste and Conventional Biochar, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21246, https://doi.org/10.5194/egusphere-egu26-21246, 2026.

EGU26-21537 | ECS | Orals | SSS5.4

Is it possible to enhance belowground carbon inputs to soil through variety selection? A Case Study in Winter Wheat Using a ¹³CO₂ Multiple-Pulse Labelling Approach 

Celia Fernández Balado, Tim Juchli, Monika Toleikiene, Agne Veršulienė, Juliane Hirte, Jochen Mayer, José Antonio González Pérez, and Rebecca Hood-Nowtony

Agricultural management measures that promote carbon sequestration in soils are essential for both climate change mitigation and adaption. Crop roots are the primary source of soil organic carbon (SOC) as belowground carbon (C) inputs —namely root biomass C and rhizodeposition C— persist in soil longer than C derived from above ground crop residues and organic soil amendments and they explore deeper soil layers. Therefore, selecting varieties of main crops with increased belowground C (BGC) inputs has been proposed as a viable option to enhance SOC stocks without compromising yield.

Despite this potential, there is limited understanding of how root biomass C and rhizodeposition C vary among modern commercial crop varieties. Moreover, data are lacking on how these belowground C inputs are influenced by diverse pedoclimatic conditions, and few studies assess C allocation in deep soil layers.

To address this gap, we implemented an in situ multiple-pulse ¹³CO₂ labeling experiment with four commercially relevant winter wheat (WW) varieties, which were selected based on a previous study with 10 varieties on 11 European sites (Heinemann et al., 2025). This replicated field study was carried out across four European countries—Austria, Lithuania, Spain, and Switzerland—to quantify net belowground C inputs after harvest. The WW varieties were isotopically labelled multiple times during their active growth phase. Following harvest, soil and roots were sampled using soil coring to a depth of 1 m. Bulk isotope analysis was performed on soil and each root fraction to quantify net rhizodeposition C.

Results show mean total BGC inputs across all sites and varieties of 1.59 ± 0.07 Mg ha-1. Rhizodeposition C accounted for 55% of total BGC, peaking in the 15–30 cm soil layer, which contained 81% of total BGC. After accounting for site effects, varieties showed different belowground carbon allocation strategies: some varieties exhibited relatively greater allocation to root biomass, whereas others showed comparatively higher rhizodeposition.

Our results will also integrate aboveground biomass and grain yield data to assess whether selecting specific genotypes can simultaneously support food production and enhance SOC build up.

Note: This study was part of the European Joint Programme on Soil (EJP Soil) project MaxRoot-C.

REFERENCES

Heinemann, Henrike, et al. "Optimising Root and Grain Yield Through Variety Selection in Winter Wheat Across a European Climate Gradient." European Journal of Soil Science 76.2 (2025): e70077. https://doi.org/10.1111/EJSS.70077

How to cite: Fernández Balado, C., Juchli, T., Toleikiene, M., Veršulienė, A., Hirte, J., Mayer, J., González Pérez, J. A., and Hood-Nowtony, R.: Is it possible to enhance belowground carbon inputs to soil through variety selection? A Case Study in Winter Wheat Using a ¹³CO₂ Multiple-Pulse Labelling Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21537, https://doi.org/10.5194/egusphere-egu26-21537, 2026.

Soil inorganic carbon (SIC) is increasingly recognized as a dynamic component of the terrestrial carbon cycle, yet its behavior in humid and semi-humid loess croplands remains poorly understood. We quantified SIC and its lithogenic (LIC) and pedogenic (PIC) fractions across 20 soil profiles (0-100 cm) in croplands of the former Yellow River Delta (FYRD), a coastal loessderived landscape shaped by historic Yellow River migrations. SIC stocks were dominated by inherited LIC (2–8 g kg⁻¹), while PIC remained smaller (<4 g kg⁻¹) but spatially variable. LIC declined by more than 50% in the northern FYRD, coinciding with lower soil pH and reduced Ca²⁺ and Mg²⁺ availability, indicating enhanced dissolution under acidifying conditions. In contrast, PIC accumulation was more pronounced along the historic river route, where elevated pH (~8.0) and higher Ca²⁺ concentrations favored carbonate precipitation. These patterns demonstrate that SIC heterogeneity in FYRD loess croplands emerges from the interplay of soil alkalinity, cation supply, and geomorphic history. The results highlight that even in humid loess agroecosystems, traditionally viewed as SOC-dominated, SIC can undergo both depletion and formation. This work contributes to a growing body of evidence that SIC is sensitive to land use and management, and should be integrated into carbon accounting frameworks, especially in calcareous coastal agroecosystems undergoing rapid transformation. 

How to cite: Wang, X., Wu, L., Guo, Y., Lu, T., and Xu, M.: Spatial heterogeneity and drivers of soil inorganic carbon fractions in loess-derived croplands of the former Yellow River Delta , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22224, https://doi.org/10.5194/egusphere-egu26-22224, 2026.

EGU26-22513 | Orals | SSS5.4

POM-Mediated Synergistic Enhancement of Organic and Inorganic Carbon in Saline–Alkali Soil Amelioration 

Amar Ali Adam Hamad, Xiujun Wang, Minggang Xu, and Yipu Wang

Saline–alkali soils in coastal deltas impose major constraints on carbon stabilization, yet the mechanistic links between soil organic carbon (SOC) and inorganic carbon (SIC) under amelioration remain insufficiently understood. We conducted an in situ incubation experiment in the Yellow River Delta using low- and high-salinity soils to assess how straw inlay at 30 cm, with or without biochar incorporation in the 0–30 cm layer, regulates carbon fractions. We quantified dissolved organic carbon (DOC), particulate organic matter (POM), mineral-associated organic matter (MAOM), and both organic and inorganic carbon within each fraction.  Results show that straw, biochar, and their combination consistently promoted POM accumulation and reduced DOC:SOC ratios, particularly in high salinity soils, reflecting enhanced SOM stabilization. The bulk soil and POM fraction exhibited strong positive relationships between SOC and SIC, indicating synergistic enhancement of organic and inorganic carbon pools during amelioration. In addition, DOC:SOC ratio was negatively associated with SIC, suggesting that greater inorganic carbon accumulation corresponds to lower SOM lability and supporting a role for SIC in promoting SOM stabilization. These findings provide mechanistic evidence that POC-enriching amendments can simultaneously enhance SOC and SIC pools, offering an effective pathway to improve carbon sequestration and structural resilience in coastal saline–alkali ecosystems.

How to cite: Hamad, A. A. A., Wang, X., Xu, M., and Wang, Y.: POM-Mediated Synergistic Enhancement of Organic and Inorganic Carbon in Saline–Alkali Soil Amelioration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22513, https://doi.org/10.5194/egusphere-egu26-22513, 2026.

EGU26-343 | ECS | Orals | SSS5.5

Investigating carbon and nitrogen cycling during the transition to organic agriculture with a laboratory incubation study  

Alessia Marchesan, Guillermo Hernandez Ramirez, and Hiroshi Kubota

Estimating how carbon and nitrogen pools respond during the transition from conventional to organic management is critical for ensuring overall system sustainability. Organic crop production, characterized by its restricted use of synthetic inputs and focus on resources present in the agro-ecosystem, is widely considered a sustainable alternative to conventional crop production. However, one of the most challenging aspects of organic crop production in western Canada is its reliance on the practice of tillage for weed and nutrient management, which can elicit significant process responses for both carbon and nitrogen. A proposed alternative to intensive tillage is to integrate crops and livestock in order to promote improved nutrient cycling. While both are considered effective management techniques, their impact on carbon and nitrogen cycling during the organic transition period from no-till conventional practices remains poorly understood. This research aims to examine how the introduction of tillage and an integrated crop-livestock system alter edaphic conditions which govern nutrient dynamics in soil.

A field research project comparing intensive tillage and integrated crop-livestock during the organic transition period is currently underway in a humid continental climate in western Canada. Intact soil cores were collected in the third growing season of the trial and underwent a laboratory incubation experiment which analysed carbon dioxide (CO2) and nitrous oxide (N2O) fluxes. Following the incubation, soil cores were analysed with a hydraulic property analyser, and available nitrogen and dissolved organic carbon were determined. In combination, these measurements provide a comprehensive understanding of nutrient pool responses to variable soil conditions created by contrasting management techniques.

Results suggest that the intensive tillage system exhibited higher losses in the form of N2O and CO2 emissions (p <0.05), as a consequence of higher nutrient concentrations (p <0.05) and water-filled pore space (p<0.05). Since N2O and CO2 are potent greenhouse gasses, increased emissions under intensive tillage highlight important climate implications of soil management choices. Additionally, greater nutrient losses reduce the pool of nitrogen available for crops, potentially undermining soil fertility during the transition to organic production. These findings underscore how strongly management practices shape nutrient availability during this critical transition period.

How to cite: Marchesan, A., Hernandez Ramirez, G., and Kubota, H.: Investigating carbon and nitrogen cycling during the transition to organic agriculture with a laboratory incubation study , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-343, https://doi.org/10.5194/egusphere-egu26-343, 2026.

EGU26-1135 | ECS | Orals | SSS5.5

Impact of anaerobic methane oxidation coupled to iron(III) reduction on arsenic mobilization in aquifers along the Red River delta in Vietnam 

Hayley Green, Junjie Zhu, Vu Thi Duyen, Sergey Abramov, Anh Van Li, Pham Hung Viet, Andreas Kappler, and Sara Kleindienst

Groundwater accounts for up to 30% of our drinking water resources, with over 2.5 billion people worldwide relying on its purity and availability. However, geogenic arsenic contamination in groundwater poses a serious threat to this limited resource, potentially endangering the health of over 200 million people worldwide.

Arsenic (As) contamination in aquifers is a common issue along the Red River Delta located in Vietnam. As-bearing minerals such as Fe(III) (oxyhydr)oxides are essential to immobilizing As and preventing it from contaminating groundwater. Emerging evidence in past years have linked anaerobic oxidation of methane (AOM) to the reductive dissolution of Fe(III) minerals leading to the greater release of As into groundwater. Further investigation is needed to elucidate the specific microorganisms involved and their underlying microbial mechanisms, along with the broader relevance of this process in other aquifers.

To gain deeper insight, two drilling field campaigns were performed in villages Dan Phuong and Van Phuc along the Red River. Groundwater and sediment samples were taken for geochemical and molecular biology analysis. From the geochemical analysis, we have produced chemical profiles of potential available electron donors (CH4, NH4+, H2, CO2, DOC) and electron acceptors (Fe(III), SO42-, NO3-, NO2-) along sediment depth in order to confirm the relevance of CH4 in this system. At Van Phuc and Dan Phoung CH4 was found to be the dominant electron donor with a maximum concentration of 0.06 and 0.015 mmol kg-1 respectively. At the Van Phuc site, novel microbial trapping devices were inserted into one of the previous drilling wells and collected 4 months later for the enrichment of organisms specialized in Fe(III) reduction and AOM. Obtained enrichment cultures are being used to measure rates of Fe(III) reduction and CH4 oxidation with labelled 13C under different growth conditions. In summary, we have found CH4 to be the primary driver of Fe(III) reduction at certain depths at both field sites. Further work will focus on the sequencing of sediment and groundwater samples to develop a profile for the present and active microbial community. With the combination of the geochemical and sequencing results we hope to confirm the relevance of Fe(III) reduction and AOM influence on As mobilization.

How to cite: Green, H., Zhu, J., Duyen, V. T., Abramov, S., Van Li, A., Viet, P. H., Kappler, A., and Kleindienst, S.: Impact of anaerobic methane oxidation coupled to iron(III) reduction on arsenic mobilization in aquifers along the Red River delta in Vietnam, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1135, https://doi.org/10.5194/egusphere-egu26-1135, 2026.

The unique geological structure combined with human activities cause serious rocky desertification in fragile karst regions, which restricts regional social and economic developments. Vegetation restoration is the key practice of comprehensive administration of rocky desertification, but this process is extremely slow, especially in some special karst geomorphic units. Nitrogen (N) element has been suggested to be a critical limiting factor for vegetation growth, but the characteristics of soil N supply and plant N acquisition remain largely unknown in karst regions. This hinders our better understanding of vegetation restoration of karst rocky desertification as well as its restoration effects. We chose natural succession sequences with different vegetation restoration stages in karst peak-cluster depression and faulted basin regions. Vegetation survey and data collection were conducted, and the N/phosphorus (P) ratio, N content and δ15N values of plant leaf were used to reflect the degree of plant N limitation. In addition, 15N labeling techniques were employed to investigate soil N transformation rates, available N supply capacity and N acquisition characteristics of the dominate plant species during vegetation succession. We found that plants were severely limited by N in the early stages of vegetation restoration, which was more seriously in the karst fault basin. As vegetation recovered, plants were no longer limited by N but by P. This difference was mainly attributed to the changes in soil N supply capacity and plant N utilization strategies. In the early stages of vegetation restoration, the rates of soil N supply processes including mineralization and nitrification was weak and inorganic N was mainly ammonium. In the later stages, soil inorganic N supply capacity increased significantly, resulting in higher inorganic N content dominated by nitrate. In such N condition, plants can adjust their own root functional traits to develop different N utilization strategies. Plants develop larger specific root length and specific surface area in the early stages to increase ammonium utilization, but plants improve nitrate utilization in the later stages. Overall, our results unraveled the mechanism underlying reduced plant N limitation following vegetation restoration through increasing soil inorganic N supply and adjusting plant N utilization strategy. The present study provided a scientific basis for ecological restoration and reconstruction of karst rocky desertification.

How to cite: Wen, D. and Zhu, T.: The mechanism underlying plant nitrogen limitation following vegetation restoration in karst regions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2962, https://doi.org/10.5194/egusphere-egu26-2962, 2026.

Legumes play a crucial role in vegetation restoration by mediating atmospheric nitrogen (N) inputs and enhancing soil N availability, especially in degraded ecosystems. A deeper understanding of the mechanisms through which legumes accelerate vegetation restoration will help provide a reference for the government to formulate ecological restoration strategies and enhance ecological service functions. In degraded ecosystems, low soil N availability intensifies plant-microbe competition for N, thereby impairing vegetation restoration processes, even under long-term monoculture afforestation. Although legumes are known to influence soil N availability through biological N fixation and the stimulation of microbial N transformations, the integrated mechanisms underlying these effects remain poorly understood. Here, we investigated eight native legume species differing in nutrient utilization strategies following nine years of natural restoration in a degraded karst ecosystem of southwest China characterized by severe rocky desertification. Four non-legume species served as controls. We found that four legume species, including Lespedeza juncea, Indigofera mengtzeana, Sophora davidii, and Indigofera pseudotinctoria, exhibited nutrient-acquisitive traits, whereas the remaining four legume species of Dalbergia hupeana, Bauhinia brachycarpa, Bauhinia comosa, and Solanum viciifolia showed nutrient-conservative strategies. Integrated analyses of plant leaf N/phosphorus ratios and vector-threshold angles revealed that both plant and soil microbial growth associated with nutrient-acquisitive legume species were no longer N-limited, whereas severe N limitation persisted under nutrient-conservative legume species. These contrasting patterns were primarily explained by the changes in the rates of soil free-living N fixation and inherent N transformation processes that control inorganic N production. Specifically, soils associated with nutrient-acquisitive legume species exhibited significantly higher rates of free-living N fixation, gross N mineralization, and gross ammonium immobilization, corresponding with reduced plant and microbial N limitation. Structural equation modeling further indicated that nutrient-acquisitive legume species enhanced inorganic N supply capacity by increasing soil energy and substrate availability, microbial biomass, and the abundance and activity of free-living diazotrophs, thereby effectively alleviating ecosystem N limitation. Beyond elucidating species-specific pathways and mechanisms through which legumes alleviate N limitation, our results provide critical guidance for species selection and management in the ecological restoration of degraded karst ecosystems.

Keywords: Degraded ecosystem; Free-living N fixation; Legume; Plant and microbial N limitation; Soil inorganic N supply

How to cite: Liu, L., Zhu, T., and Müller, C.: Nutrient-acquisitive legume species stimulate soil free-living N fixation and organic N mineralization to alleviate N limitation in the degraded ecosystem, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2965, https://doi.org/10.5194/egusphere-egu26-2965, 2026.

The ecological functioning of subsurface environments—including soils, lake and marine sediments, and aquifers—is largely governed by redox processes mediated by complex microbial communities inhabiting porous media. The composition and spatial organization of these communities emerge from the interplay between porous geometry, porewater flow, microbial interactions within and across populations, and microscale geochemical heterogeneities. Identifying the biological and environmental controls on microbial community structure is therefore crucial for understanding and predicting the functions of subsurface ecosystems. However, progress remains limited by the difficulty of observing microbial communities and characterizing their cell-scale geochemical environment within opaque porous matrices.

Recent advances in microscale imaging technologies offer new opportunities to overcome these challenges. Microfluidic devices—transparent platforms that reproduce the pore structure and flow conditions of soils and sediments under controlled laboratory settings—have emerged as powerful tools for investigating subsurface biogeochemical dynamics. When combined with fluorescently tagged bacteria, microfluidics enables non-invasive, real-time visualization of microbial populations and their self-organization in response to physicochemical gradients or microbial interactions. In parallel, microfluidic integration with transparent optical sensors, such as optodes and luminescent nanoparticles, has been shown to allow mapping of microscale physicochemical gradients, e.g., oxygen concentrations, driven by microbial activity coupled with advection and diffusion processes.

Despite these advances, the simultaneous imaging of microbial community dynamics and geochemical gradients remains challenging. Existing luminescent sensors typically emit in the visible range of the spectrum, overlapping with the emission wavelengths of commonly used fluorescent protein tags. This spectral interference has so far prevented the concurrent detection of fluorescently tagged microorganisms and sensor signals within the same microfluidic platform.

Here, we present a novel microfluidic platform integrating a transparent oxygen optode emitting in the near-infrared (NIR) region of the light spectrum. Spectrofluorometric characterization demonstrates that this NIR-emitting optode eliminates spectral interference with most used fluorescent tags, enabling simultaneous imaging of microbial populations and oxygen dynamics at the microscale.

We demonstrate the potential of this approach by investigating the progressive colonization of sandy sediment under flowing conditions by an aerobic microbial community and the associated formation of microscale oxygen gradients. The community consists of two bacterial strains representing distinct phenotypes—elongated and rounded cell shapes—engineered to express mScarletI and GFP, respectively. The results reveal clear differences in spatial organization and cluster morphology between the two strains, consistent with previous observations of shape-dependent colonization under flow. Moreover, the data suggest that distinct cell morphologies differentially influence local oxygen gradients, highlighting a direct link between microbial physical traits and microscale redox dynamics.

Beyond this proof-of-concept application, the proposed methodology is highly versatile. Spectral analyses indicate that up to four microbial populations could potentially be imaged simultaneously alongside oxygen dynamics. Furthermore, rapid advances in luminescent sensor chemistry are expanding the range of physicochemical parameters that can be mapped in the NIR. Finally, the platform is compatible with complementary microscale analytical techniques, such as SIMS or synchrotron-based methods, enabling integrated investigations of microbial activity, geochemical gradients, and mineralogical transformations in subsurface environments.

How to cite: Ceriotti, G. and Borisov, S. M.: Simultaneous real-time imaging of oxygen gradients and microbial community spatial organization in confined environments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3536, https://doi.org/10.5194/egusphere-egu26-3536, 2026.

EGU26-3962 | Orals | SSS5.5 | Highlight

Modeling Redox Biogeochemistry Influences on Carbon Cycling at Site to Continental Scales 

Benjamin Sulman, Teri O'Meara, and Elizabeth Herndon

Redox cycles, geochemistry, and pH are recognized as key drivers of subsurface biogeochemical cycling in the critical zone but are typically not included in land surface models. These omissions may introduce errors when simulating carbon cycling and greenhouse gas emissions in systems where redox interactions, and pH fluctuations are important, such as coastal regions where sulfate concentrations associated with saltwater influence can drive biogeochemical contrasts across salinity gradients or upland systems where redox-active micronutrients contribute to litter decomposition. Here, we coupled the Energy Exascale Earth System Model (E3SM) Land Model (ELM) with geochemical reaction network simulator PFLOTRAN, allowing geochemical processes and redox interactions to be integrated with land surface model simulations. We implemented a reaction network including aerobic decomposition, fermentation, iron oxide reductive dissolution and dissolved iron oxidation, sulfate reduction, sulfide oxidation, methanogenesis, methane oxidation, and pH dynamics and simulated biogeochemical cycling and methane production across coastal gradients of salinity and elevation. Model simulations were parameterized using laboratory incubations and literature values and evaluated using measured porewater concentrations and surface gas emissions from wetland field sites across coastal regions of the United States. In addition, we demonstrate that interactions between manganese redox cycling and nitrogen availability can influence litter decomposition and organic matter cycling in temperate forest ecosystems. These results demonstrate how directly simulating biogeochemical reaction networks can improve land surface model simulations of subsurface biogeochemistry and carbon cycling, and highlight the value of porewater biogeochemical data for evaluating process-based biogeochemical models.

How to cite: Sulman, B., O'Meara, T., and Herndon, E.: Modeling Redox Biogeochemistry Influences on Carbon Cycling at Site to Continental Scales, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3962, https://doi.org/10.5194/egusphere-egu26-3962, 2026.

EGU26-6964 | ECS | Posters on site | SSS5.5

Abiotic Methane Production Driven by Soil Reactive Oxygen Species 

Ziyan Liu and Zheng Chen

Methane (CH4), a potent greenhouse gas, is predominantly produced in wetland soils through biological processes. Recent studies reveal that reactive oxygen species (ROS) can abiotically generate CH4 via oxidative demethylation of organic compounds, yet the environmental significance of this pathway remains unexplored. Here, we investigate the potential for reactive oxygen species (ROS)-driven CH₄ formation across diverse wetland soils during redox fluctuations. Using sterilized soils from 14 Chinese wetlands amended with a model methyl donor, we identified a linear relationship between hydroxyl radical (•OH) accumulation and CH₄ production, yielding 91 nmol·L⁻¹ CH₄ per nmol·L⁻¹ •OH. Mechanistic validation with citric acid and sodium citrate demonstrated that ligand-mediated iron chelation and acidification work together to enhance this pathway by preventing iron precipitation. Natural biomaterials such as fish remnants and rice litter acted as methyl donor hotspots, contributing approximately 50% of total CH4 emissions during oxygenation. These findings establish ROS-driven CH4 production as a pervasive abiotic pathway under ambient conditions. Our results underscore the necessity of reevaluating water management strategies in wetlands, where fluctuating water levels may inadvertently amplify abiotic CH4 fluxes.

How to cite: Liu, Z. and Chen, Z.: Abiotic Methane Production Driven by Soil Reactive Oxygen Species, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6964, https://doi.org/10.5194/egusphere-egu26-6964, 2026.

EGU26-7395 | Posters on site | SSS5.5

Sequential leaching to investigate speciation of phosphorus and other elements in organically farmed soils 

Manfred Sager, Marion Bonell, and Sören Risse

For reasons of simplification and economy, the availability of nutrients and trace elements has been tried to approach via one-step extractions, which ideally rely on field experiments utilizing conventional fertilization, crops and varieties. However, particularly in the case of the main nutrient phosphorus, the commonly used extraction methods show significant weaknesses in reflecting actual plant availability. Zehetner et al. (2018) correlated 14 P-extraction methods to 50 different soils and obtained a maximum Pearson correlation coefficient of 0,365 between extracted P and crop yields.

A special sequential leaching sequence has been designed initially for sediments to assign the phosphate anion to exchangeable, Fe, Ca, Al, and humic-bound fractions, because they reflect different mobilization pathways. Fractionation is carried out in the following steps: 1. exchangeable (NH4Cl/NaOH pH 7), 2. Fe-bound (Na2S2O4/NaHCO3 pH 7), 3. Humics + Al-bound P (1M-NaOH), 4. Ca/Mg-bound P (0,5M HCl) and 5. residual P (boiling 1M-NaOH). Humics and its element loads are determined by alkaline extraction, which also contains exchangeables versus OH- and soluble hydroxo-complexes, and residuals from living cells. If the step with dithionite is omitted, the Fe-bound P moves to the subsequent fractions. At the same time, the NaHCO3-extract indicates the proportion of exchangeable P relative to HCO3- ;comparable to Olsen-P.

8 manure fertilized and 8 plant-residue fertilized organically farmed soils were fractionated using sequential extraction to quantify the different forms of phosphorus. The availability of other nutrients was also determined in the respective fractions. For comparison, the phosphorus content in the CAL extract was also analysed. In NaOH, precipitation of hydroxides and hardly soluble salts competes with soluble humic and hydroxo-complexes. Hardly alkali mobile cations might underestimate their part bound to humics, like for Mn, Mg, Ca, Sr and Ba.

As a result, the humics fraction turns out to act as a main carrier of phosphate and trace elements like Cu, and is underestimated by CAL or Olsen (NaHCO3)-extraction.

With respect to P released by CAL, dithionite released about double for samples classified as deficient (< 25 mg/kg), whereas it indicated slightly less amounts than P-CAL for 40-50 mg/kg.

For other nutrients was observed: K-CAL showed two separate linear relationships for manure and for plant residue fertilized soils versus NH4Cl exchangeable K. Mg-CAL correlated well with Mg-NH4Cl (ρ=0,851), unless dolomite was present. Exchangeable Li was higher with NH4Cl than with CAL, but well correlated (ρ=0,983).

 

M. J. Hedley,J. W. B. Stewart,B. S. Chauhan B.S.C.: Changes in Inorganic and Organic Soil Phosphorus Fractions Induced by Cultivation Practices and by Laboratory Incubations. Soil Science Society of America Journal 46(5), 970-976 (1982)

R. Psenner, R. Pucsko, M. Sager; (1984); Die Fraktionierung organischer und anorganischer Phosphorverbindungen von Sedimenten - Versuch einer Definition ökologisch wichtiger Fraktionen (Fractionation of organic and inorganic phosphorus compounds in lake sediments); Arch. Hydrobiol./Suppl. 70, 111-155

F. Zehetner, R. Wuenscher, R. Peticzka, H. Unterfrauner: Correlation of extractable soil phosphorus (P) with plant P uptake: 14 extraction methods applied to 50 agricultural soils from Central Europe. Plant Soil Environ. 64(4), 192-201 (2018)

How to cite: Sager, M., Bonell, M., and Risse, S.: Sequential leaching to investigate speciation of phosphorus and other elements in organically farmed soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7395, https://doi.org/10.5194/egusphere-egu26-7395, 2026.

EGU26-9339 | ECS | Posters on site | SSS5.5

Predicting rates of manganese oxide reduction from thermodynamic driving forces and structural properties 

Xinru Liu, Vineeth Pothanamkandathil, Lorenz Schwab, Shun Mao, and Meret Aeppli

Manganese (oxyhydr)oxides are abundant redox-active minerals that regulate carbon and nutrient cycling in the environment. Predicting the environmental reactivity of these oxides remains challenging due to the structural diversity and varying Mn oxidation states. We quantified the reduction kinetics of three geochemically relevant manganese oxides—birnessite, manganite, and hausmannite—using extracellular electron shuttles with varying redox potentials to systematically modulate the thermodynamic driving force for electron transfer. Rate-Gibbs free energy (ΔrG) relationships for individual manganese oxides could be established using our previously developed approach used to characterize iron oxide reduction. While ΔrG correlated with reduction kinetics for individual oxide phases, it failed to explain trends across different minerals. To address this challenge, we used the Pourbaix free-energy difference (Δ𝚿). It allowed us to predict reactivity across all three Mn oxides without requiring detailed knowledge of exact reaction stoichiometry, which is often unknown in natural systems. We further developed a coupled kinetic–mass transport model that we demonstrated that the three oxides share similar mass-transfer coefficients while their intrinsic electron-transfer rate constants differ significantly. Classical nucleation theory was applied to contextualize these differences, indicating that the balance between surface and bulk energies controls the dissolution barrier. Our work provides a predictive framework applicable to a variety of redox-active minerals, facilitating the modeling of redox fluxes in complex geochemical environments where mineral complexity previously hindered accurate predictions.

How to cite: Liu, X., Pothanamkandathil, V., Schwab, L., Mao, S., and Aeppli, M.: Predicting rates of manganese oxide reduction from thermodynamic driving forces and structural properties, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9339, https://doi.org/10.5194/egusphere-egu26-9339, 2026.

EGU26-9375 | ECS | Posters on site | SSS5.5

Spatial patterns of sediment phosphorus contents and release in a deep clearwater lake undergoing unexpected eutrophication 

Johann Holdt, Thomas Gonsiorczyk, Andreas Reimer, Mark O. Gessner, and Volker Thiel

Symptoms of eutrophication are increasingly evident in remote clearwater lakes. To identify the sources and dynamics of phosphorus release, we measured total phosphorus (TP) in sediments and soluble reactive phosphorus (SRP) fluxes across the sediment–water interface at 54 locations in a deep temperate lake. Once renowned for its clear waters, Lake Stechlin has experienced a fourfold increase in water column TP over the past decade. SRP fluxes from sediments generally increased with water depth across all three lake basins, although there were significant variations in SRP concentrations, up to threefold, among sampling locations at the same depth. Notably, the lake´s total mean SRP flux in June (1.12 mg m-2 day-1) was higher than that determined in October (0.74 mg m-2 day-1). This result can be attributed to the substantial contribution (about 31 % of total SRP release) of shallower sediments (0-20 m), which are not affected by by seasonal anoxia. Our findings highlight a notable spatial variability of SRP fluxes and underscore the importance of considering often overlooked shallow sediments when assessing P dynamics in lakes.

How to cite: Holdt, J., Gonsiorczyk, T., Reimer, A., Gessner, M. O., and Thiel, V.: Spatial patterns of sediment phosphorus contents and release in a deep clearwater lake undergoing unexpected eutrophication, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9375, https://doi.org/10.5194/egusphere-egu26-9375, 2026.

EGU26-9594 | ECS | Posters on site | SSS5.5

Vertical redox stratification in a Barremian critical-zone weathering profile revealed by extreme Mo isotope fractionation 

Qin Lin, Philip A.E. Pogge von Strandmann, Ming-Dao Sun, and Yi-Gang Xu

Redox transformations within continental weathering profiles exert a first-order control on the redistribution and export of redox-sensitive elements, yet the mechanisms governing element retention versus release in semi-arid critical-zone settings remain poorly quantified. Here we examine a calcrete-capped weathering profile developed on Early Cretaceous andesitic lavas (∼125–122 Ma) in the Chaoyang Basin, North China, to investigate how vertically structured redox conditions influence molybdenum (Mo) behavior during weathering. The ~16 m-thick profile displays a pronounced redox stratification, comprising an oxidized, carbonate-cemented calcrete cap overlying progressively reduced, Fe-rich saprolite above fresh bedrock. Integrated iron speciation, bulk geochemistry, and mineral-scale observations reveal the presence of a shallow Fe-reduction front and a deeper ferruginous zone that acts as a transient sink for trace metals. Molybdenum concentrations increase markedly below the calcrete–saprolite boundary, while bulk-rock and pyrite δ98Mo values as low as −3.6‰ indicate sequestration of an isotopically light Mo pool at depth. Mass-balance considerations suggest that enhanced Mo mobilization from the upper oxic zone slightly outweighs retention in the reduced saprolite, resulting in a modest net Mo export from the profile. These observations support a vertically organized, two-stage redox filtering system in which climatic wet–dry cycling promotes Mo release near the surface, whereas deeper ferruginous conditions temporarily retain isotopically light Mo. By modulating both the magnitude and isotopic composition of riverine Mo fluxes, such continental redox architectures provide an important upstream control on marine δ98Mo signals used to reconstruct past ocean redox conditions. Our results highlight how redox heterogeneity in the terrestrial critical zone shapes trace-element cycling from land to ocean.

How to cite: Lin, Q., Pogge von Strandmann, P. A. E., Sun, M.-D., and Xu, Y.-G.: Vertical redox stratification in a Barremian critical-zone weathering profile revealed by extreme Mo isotope fractionation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9594, https://doi.org/10.5194/egusphere-egu26-9594, 2026.

EGU26-10229 | ECS | Orals | SSS5.5

Liming-Induced Changes in Phosphorus Availability and Soil–Plant Interactions in Acidic Soils 

Andreas Paat, Tõnu Tõnutare, and Merrit Shanskiy

Acidic soils constitute a major constraint to agricultural productivity in Estonia, particularly in the southern regions, affecting approximately 54.5% of the country’s agricultural land. Soil acidity adversely influences nutrient availability, base saturation, and crop performance, making liming a key management practice for sustainable crop production. This study investigates the effectiveness of Corestone, a newly developed limestone-based liming material produced by grinding limestone overburden excavated during oil shale mining operations, in enhancing the chemical properties of acidic soils and improving nutrient uptake in oilseed rape (Brassica napus L.) under controlled experimental conditions.

A pot experiment was conducted using four chemically distinct acidic soils treated with Corestone at two application rates corresponding to 50% and 100% of the calculated lime requirement. Winter oilseed rape cultivar ‘Fenja’ was grown on the treated soils. Soil pH and plant-available phosphorus (P), potassium (K), magnesium (Mg), and calcium (Ca) were determined before and after the experiment. Aboveground biomass production and nutrient concentrations in plant tissue were also analysed.

Liming with Corestone resulted in a consistent increase in soil pH across all soils, with application at 100% of the lime requirement leading to neutral or near-neutral pH values. Soil calcium concentrations increased significantly following liming, particularly in the most acidic soil with the highest lime demand. Although the Ca:Mg ratio improved after treatment, optimal ratios were not fully achieved. Responses of plant-available phosphorus varied among soils, whereas potassium concentrations generally declined following liming. Soil magnesium concentrations increased in most treatments.

No statistically significant differences in rapeseed biomass were observed between liming rates; however, a clear positive trend in biomass production was evident, except in one soil. This response may be attributed to reduced micronutrient availability under elevated pH conditions. Plant tissue analysis revealed consistently low phosphorus and potassium concentrations, while calcium and magnesium concentrations were relatively high. Positive correlations were observed between changes in soil and plant phosphorus and magnesium contents. In contrast, increasing soil calcium concentrations and rising soil pH were associated with higher plant phosphorus but lower plant calcium concentrations, indicating complex nutrient interactions following liming.

Overall, the results demonstrate that Corestone is an effective liming material for alleviating soil acidity, while emphasizing the importance of soil-specific nutrient dynamics when optimizing liming strategies for oilseed rape cultivation.

How to cite: Paat, A., Tõnutare, T., and Shanskiy, M.: Liming-Induced Changes in Phosphorus Availability and Soil–Plant Interactions in Acidic Soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10229, https://doi.org/10.5194/egusphere-egu26-10229, 2026.

EGU26-10376 | ECS | Posters on site | SSS5.5

Flooding, metal mobility, and microbial controls on greenhouse gas emissions from floodplain soils 

Mahmuda Islam, Mark E. Hodson, Ben Keane, and Niall P. McNamara

Floodplains are integral parts of river systems, often characterised by periodic flooding. Increased river flooding caused by climate change potentially has significant impacts on oxidation-reduction processes in floodplain soils, altering soil oxygen availability, microbial populations, carbon and nitrogen cycling, and greenhouse gas (GHG) emissions. Flooding can also cause the deposition of metal-contaminated sediments on floodplain soils. During flooding, redox-driven changes in metal speciation can alter metal solubility and bioavailability, thereby affecting soil microbial composition and GHG emissions. Although the effects of flooding on redox-sensitive soil processes are well documented, few studies have examined the combined effects of flooding and metal contamination on soil GHG emissions.

To address this gap, we conducted an outdoor mesocosm experiment using intact floodplain soil cores collected from sites with contrasting flood histories (frequently vs rarely flooded), with varying levels of background metal concentrations. Soil cores were inundated for seven weeks to simulate a flood event. GHG fluxes were measured twice weekly before, during, and after the flood event. Two closed-chamber approaches were employed: CO₂ and CH₄ concentrations were measured in real-time for three minutes per chamber using an ultraportable greenhouse gas analyser, while discrete chamber gas samples were collected at four time points over a one-hour enclosure period for N₂O analysis by gas chromatography. A wide range of redox-sensitive soil parameters (oxygen concentration, pH, dissolved organic carbon, metals, and anions) were measured in soil pore water weekly. Soil subsamples collected before and after flooding will be used for metagenomic analysis to assess changes in microbial community composition and the abundance of functional genes associated with key redox processes, including GHG emissions. By integrating redox geochemistry and metagenomic analyses, this study aims to provide mechanistic insight into how flooding and metal mobility regulate microbial functions and soil GHG emissions.

How to cite: Islam, M., Hodson, M. E., Keane, B., and McNamara, N. P.: Flooding, metal mobility, and microbial controls on greenhouse gas emissions from floodplain soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10376, https://doi.org/10.5194/egusphere-egu26-10376, 2026.

EGU26-11553 | ECS | Posters on site | SSS5.5

How Reliable Is Mehlich 3 for Estimating Plant-Available Phosphorus? Evidence from Sequential Soil Extractions 

Tõnis Tõnutare, Tõnu Tõnutare, Vanessa Varend, Kadri Krebstein, and Raimo Kõlli

Soil fertility is a key determinant of agricultural productivity and sustainable land management. Among essential nutrients, phosphorus (P) plays a critical role in crop growth and yield formation, yet its availability in soils is highly variable and strongly controlled by soil physicochemical properties and management practices. Reliable assessment of plant-available P is therefore essential for accurate fertilizer recommendations and environmentally sound nutrient management. The Mehlich 3 (M3) extraction method is widely used as a multi-element soil test to estimate plant-extractable nutrients, including P, K, Ca, Mg, and micronutrients, across a broad range of soil types. However, interpretation of M3-extractable P remains challenging due to differences in extraction efficiency among soils with contrasting texture, mineralogy, pH, and organic carbon content.

Phosphorus in soil solution is in dynamic equilibrium with solid-phase P pools, and the size and replenishment of extractable P depend on both solution chemistry and soil solid-phase properties. The aim of this study was to investigate changes in extractable P over six consecutive Mehlich 3 extractions and to evaluate how soil texture and chemical properties influence this process. Sequential extractions were conducted on soils differing in texture and chemical composition, allowing assessment of P release dynamics beyond a single extraction event.

The results demonstrate that Mehlich 3–extractable P does not always fully represent the pool of plant-available phosphorus in soils. Sequential extraction patterns revealed substantial differences in P release among soils, indicating varying capacities of solid-phase P to replenish the soil solution. Soil organic carbon, calcium, magnesium, and clay content were identified as key factors controlling the relative proportions of sequentially extracted P. These findings highlight the importance of soil-specific controls on P extractability and suggest that a single Mehlich 3 extraction may be insufficient to characterize soil P availability in certain soil types.

From a practical perspective, the results indicate that assessment of soil P reserves, in addition to standard Mehlich 3 P measurements, could improve fertilizer recommendations and support more efficient and environmentally sustainable phosphorus management.

 

How to cite: Tõnutare, T., Tõnutare, T., Varend, V., Krebstein, K., and Kõlli, R.: How Reliable Is Mehlich 3 for Estimating Plant-Available Phosphorus? Evidence from Sequential Soil Extractions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11553, https://doi.org/10.5194/egusphere-egu26-11553, 2026.

EGU26-12156 | Posters on site | SSS5.5

Responses of greenhouse gas emissions to increased precipitation events in different ecosystems 

Man Zhang, Cui Li, Weixin Wang, Xin Tong, and Kaixuan Wang

Climate change is altering precipitation patterns, which can stimulate carbon (C) and nitrogen (N) cycling processes in terrestrial ecosystems, potentially leading to increased soil greenhouse gas (GHG) emissions. However, a systematic understanding of how soil GHG fluxes respond to both increased precipitation (IP) and extreme precipitation (EP) across diverse global ecosystems is still lacking. To address this knowledge gap, we conducted a global meta-analysis based on data extracted from 49 published studies. Our objectives were to quantify the effects of IP and EP on fluxes of CO₂, CH₄, and N₂O, and to explore the key driving factors behind these responses. The results revealed that: (1) IP significantly enhanced soil CO₂ emissions by 10.2% and N₂O emissions by 61.7%, but had no significant effect on CH₄ fluxes. In contrast, EP significantly increased emissions of N₂O (by 61.8%), CO₂ (by 13.3%), and CH₄ (by 3.2%). (2) Ecosystem type mediated the GHG response under IP treatment (P < 0.01). Among grasslands, forests, and farmlands, the forest ecosystem showed the highest response ratios for CO₂ (30.4%), N₂O (61.8%), and soil respiration (37.5%), while grasslands exhibited the lowest responses. (3) Variation in CO₂ flux was primarily associated with soil dissolved organic carbon and microbial biomass carbon (both P < 0.001), whereas changes in N₂O flux were most strongly linked to soil NH₄⁺-N content (P < 0.001). This study synthesizes global experimental data to clarify the distinct impacts of IP and EP on GHG emissions, highlighting the critical role of ecosystem-specific traits and soil biogeochemical properties. Our findings provide an integrated perspective for predicting soil-climate feedbacks under future precipitation regimes.

How to cite: Zhang, M., Li, C., Wang, W., Tong, X., and Wang, K.: Responses of greenhouse gas emissions to increased precipitation events in different ecosystems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12156, https://doi.org/10.5194/egusphere-egu26-12156, 2026.

EGU26-12358 | ECS | Orals | SSS5.5

Soil metabolomics reveals biocrust-mediated carbon and nutrient cycling in arid ecosystems 

Inmaculada Criado-Navarro, Carlos Augusto Ledesma-Escobar, Feliciano Priego-Capote, Nico Eisenhauer, Ana García-Velázquez, Rosana Salazar-García, Pablo Castillo, and Antonio Archidona-Yuste

Biocrusts occur globally in ecosystems where plants are typically sparse, allowing sunlight to reach the soil surface, especially in natural drylands. Important ecosystem services have been attributed to them. Soil metabolomics is an emerging and powerful approach connecting soil chemistry, biology, and ecology. Understanding the role of biocrusts and their metabolic expressions is crucial for explaining how nutrient cycling adapts under arid conditions. Thus, in this study, a total of 56 plots, 20 m x 20 m in size, were surveyed in an arid natural area. For each plot, biocrusts and bulk soils (1-10 cm depth) were described through untargeted metabolomic analysis (LC−QTOF), and fertility properties. Multi and univariate approaches revealed both functional adaptation and spatial heterogeneity linked to biocrust development. A total of 59 differentially expressed metabolites (DEMs) were identified. Biocrusts concentrated a variety of metabolites related to intense biological activity and carbon and phosphorus cycling, as well as stress tolerance. Meanwhile, the bulk soils below serve as a reservoir for more persistent organic compounds and benefit from the nutrients and organic products released by the biocrust. Furthermore, the metabolomic fingerprints of the soils were found to be highly correlated with soil fertility properties. For example, our results reinforce the role of P (and Mn-associated processes) as key components of biocrust-driven biogeochemical cycling in arid soils. Definitely, this study demonstrates the power of untargeted metabolomics in revealing functional chemical expression and offers tools for managing the fertility of degraded soils by promoting healthy biocrusts.

How to cite: Criado-Navarro, I., Ledesma-Escobar, C. A., Priego-Capote, F., Eisenhauer, N., García-Velázquez, A., Salazar-García, R., Castillo, P., and Archidona-Yuste, A.: Soil metabolomics reveals biocrust-mediated carbon and nutrient cycling in arid ecosystems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12358, https://doi.org/10.5194/egusphere-egu26-12358, 2026.

EGU26-13356 | Orals | SSS5.5

Impact of root exudates on microbial carbon cycling in salt marshes 

Prachi Joshi, Franziska Raab, Nora Kainz, Marie Mollenkopf, and Andreas Kappler

Rhizosphere processes such as root exudation play a major role in carbon cycling by influencing microbial activity. Although the effect of root exudation, both positive and negative, in terrestrial systems has been widely studied, the corresponding effect in coastal systems is unknown. This gap in knowledge is particularly critical because coastal systems sequester 111.4 Tg C /year, a large fraction of which can be attributed to the vegetation. In this study, we characterized the root exudates of the dominant plant species in the pioneer zone, Salicornia spp. and Spartina anglica, and examined how vegetation affects the sediment biogeochemistry in this zone. Field site analysis revealed a high influence of vegetation on microbial sediment respiration as in situ CO2 emissions from vegetated sediments were 3.6-fold and 4.2-fold higher for Salicornia spp. and Spartina anglica plots, respectively, than CO2 release in unvegetated sediment. The sediment content of organic carbon and nitrogen and porewater ammonium concentrations (an indicator of organic matter degradation) were however not elevated in the vegetated sediment. Analysis of root exudate composition revealed that fumarate, acetate, and formate accounted for 30–38% of total root-released carbon in both salt marsh species, indicating a stronger environmental than species-specific influence on root exudation. Further, in a microcosm experiment, we evaluated the impact of root exudation on organic carbon cycling in rhizosphere sediments of the two dominant plant species. We focused on the coupling of organic carbon oxidation to sulfate (SO42-) and ferric iron (Fe(III)) reduction. The addition of model root exudates to the rhizosphere sediment of Salicornia spp. and Spartina anglica resulted in a 2.4-fold and 1.3-fold increase of CO2 emissions compared to the controls, respectively. The CO2 release even exceeded added organic carbon oxidation, indicating potential microbial “priming” and enhanced organic carbon mineralization in the sediment. Organic carbon addition caused increased sulfate reduction but had no significant effect on iron reduction, emphasizing the dominance of sulfate reduction for organic carbon oxidation in salt marsh sediments. The rapid microbial response to organic carbon addition highlights the stimulation of microbial activity by root exudation. Thus, root exudates are an important component in predicting the stability of salt marsh carbon sinks and global carbon cycling.

How to cite: Joshi, P., Raab, F., Kainz, N., Mollenkopf, M., and Kappler, A.: Impact of root exudates on microbial carbon cycling in salt marshes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13356, https://doi.org/10.5194/egusphere-egu26-13356, 2026.

EGU26-13788 | ECS | Orals | SSS5.5

Redox properties of Fe-OM aggregates: Linking structure to redox reactivity 

Jeffrey Hudson, Lena Oker, Andrey Ilin, Edgardo Valenzuela, Sigrid van Grinsven, Prachi Joshi, Aaron Thompson, Stefan Haderlein, and Andreas Kappler

The biogeochemical cycling of carbon is closely intertwined with iron processes. At aquatic redox interfaces, Fe(II) oxidizes and rapidly undergoes hydrolysis, coprecipitating as Fe(III) with natural organic matter (NOM) and other ions to form short-range-ordered (SRO) Fe minerals that can protect carbon from biotic and abiotic transformations. Relevant Fe-NOM research is dominated by studies of organic carbon fate, yet comparatively little attention has been given to the influence of organic carbon chemistry on iron mineral structure and properties. Organic ligands in NOM bind with Fe and are known to interfere with Fe(III) polymerization, with the extent of interference depending on ligand type and concentration. In comparison to their “pure” counterparts, SRO Fe(III) (oxyhydr)oxide minerals associated with NOM may have altered redox potentials (Eh) due to changes in Fe speciation, coordination environment, and/or particle size. However, it remains unclear if a link exists between coprecipitate mineral properties (e.g., range of order), Eh, and macro-scale redox processes (i.e., extents and rates of redox reactions). In this project, we investigate and link bulk and atomic-scale structural properties of different coprecipitates to their redox properties measured via mediated electrochemistry. Coprecipitates were synthesized by titrating Fe(III) solutions in the presence of 4 model organic ligands at varying Fe:ligand molar ratios. Model ligands were chosen as NOM binding analogs based on binding strength (log K) and type (carboxylate vs phenolic). High resolution X-ray diffraction (HR-XRD) analysis of coprecipitates synthesized with carboxylate ligands show a decrease in coherent scattering domain both with increasing ligand concentration and number of carboxylate functional groups, indicating that carboxylates decrease Fe(III) crystallinity in a systematic fashion. These results were confirmed via Mössbauer spectroscopy (MBS), which showed a decrease in blocking temperature with increasing ligand and/or carboxylate content.  Interestingly, while coprecipitates synthesized with catechol followed this trend at high ligand ratios, lower ligand ratios promoted the transformation towards lepidocrocite and spinel-like phases, suggesting that the electron-donating properties of catechol steer early Fe(III) transformation pathways more rapidly than carboxylate ligands. Electrochemically, the Fe(III)-NOM coprecipitates were more reducible (i.e., greater reduction extent and rate) than ligand-free ferrihydrite controls. When paired with results from HR-XRD and MBS, this finding suggests that coprecipitate redox reactivity is controlled by crystallinity. Ongoing work is investigating the role of particle size in this relationship. Overall, these preliminary mechanistic results may help link the importance of reactive iron phases to carbon dynamics (persistence vs. mineralization) in the environment. Future microbial reduction experiments will be employed to understand how coprecipitate thermodynamics influence biological redox reactivities.

How to cite: Hudson, J., Oker, L., Ilin, A., Valenzuela, E., van Grinsven, S., Joshi, P., Thompson, A., Haderlein, S., and Kappler, A.: Redox properties of Fe-OM aggregates: Linking structure to redox reactivity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13788, https://doi.org/10.5194/egusphere-egu26-13788, 2026.

EGU26-14344 | ECS | Posters on site | SSS5.5

Effect of season and health status on nutrient dynamics in diseased Agathis australis forests 

Siqi Yang, Marijke Struijk, and Luitgard Schwendenmann

Kauri (Agathis australis), a long-lived conifer endemic to northern New Zealand, is threatened by kauri dieback disease caused by the soilborne oomycete Phytophthora agathidicida. The pathogen causes root damage and dieback, which may impair water and nutrient uptake and may alter soil processes. Field-based evidence on how nutrient availability varies with stand health status and season remains limited.

We investigated plant-available nutrient supply in kauri dominated forests across the Waitākere Ranges (New Zealand), using 6 plots (24 subplots) established across three sites (Cascades, Piha and Huia) including plots which show strong evidence of kauri dieback symptoms (symptomatic) and plots without strong dieback symptoms (asymptomatic). Plant-available nutrients (NO3--N, NH4+-N, PO43--P), base cations (Ca, Mg, K), micronutrients (Fe, Mn, Cu, Zn, B, S), and trace/toxic metals (Pb, Al) were measured using Plant Root SimulatorTM (PRS) probes, which provide an integrated, field-based measure of nutrient supply rates. Sampling was conducted from March 2024 to February 2025, with probes deployed and retrieved every three months.

Our findings show that health status had an effect on Cu and Pb supply with lower rates in symptomatic plots which may reflect a reduction in rhizosphere activity and organic matter cycling that decreases the exchangeable fraction of these strongly complexing metals. Season had an effect on most nutrients with lower supply rates during austral summer (Dec–Feb) likely reflecting drier-soil conditions limiting transport (reduced diffusion) combined with greater plant demand. NO3--N showed no seasonal or health status related effect, consistent with its high mobility and very low rates. In austral winter (Jun–Aug), NH4+-N supply increased, likely due to reduced plant uptake and suppressed nitrification under cool, wet conditions. Overall, these results indicate that seasonal controls dominate plant-available nutrient supply across the Waitākere kauri forests, while health status is associated with more targeted shifts in specific elements and there is minimal evidence of health status × season interactions for most nutrients. This study underscores the importance of repeated, in-situ measurements for interpreting nutrient dynamics in disease-impacted ecosystems.

How to cite: Yang, S., Struijk, M., and Schwendenmann, L.: Effect of season and health status on nutrient dynamics in diseased Agathis australis forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14344, https://doi.org/10.5194/egusphere-egu26-14344, 2026.

EGU26-15866 | ECS | Orals | SSS5.5

Structural Diversity Controls Dissolved Organic Nitrogen Mineralization Driven by Dissimilatory Iron Reduction 

Zhiyuan Zhang, Xiurui Cui, and Dongqiang Zhu

Dissimilatory iron reduction (DIR) processes play a critical role in regulating the transformation of dissolved organic nitrogen (DON), yet the structural-dependent biogeochemical behaviors of DON from different sources remain poorly understood. Using a suite of complementary analytical techniques, we systematically compared the mineralization pathways and molecular transformations of nitrogen (N)-containing compounds in two representative dissolved organic matter (DOM): (1) dissolved black carbon (DBC) derived from pyrolysis (representing combustion-sourced DON from fire-affected ecosystem) and (2) leached dissolved organic carbon (LDOC) derived from compost (representing biogenic-sourced DON from undisturbed ecosystem), as sole electron donors during DIR. Batch experiments demonstrated that DBC produced three times more ferrous iron than LDOC and achieved a substantially higher mineralization ratios of N-containing compounds (41% versus 23% for LDOC), with ammonium being the sole detectable N mineralization product. Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) combined with N near-edge X-ray adsorption fine structure (NEXAFS) analysis revealed that DBC degradation specifically targets polycyclic aromatic components rich in aromatic N, especially those in 5-membered rings (e.g., pyrrolic N), which account for nearly half of DON loss. In contrast, LDOC preferentially removes labile amide N from lignin-like components and enriches recalcitrant aromatic N from polycyclic aromatic components. The number of N-containing molecular formulas decreased by 51.6% in DBC but only by 10.2% in LDOC. Thermodynamic calculations confirm that aromatic N, particularly pyrrolic N, dominates the degraded DBC pool. These electron-rich Lewis basic structures form stable coordination complexes with iron that facilitate electron transfer and activate adjacent carbon bonds for oxidative ring-cleavage. The estimated electron flux derived from the degradation of pyrrolic N alone accounted for ~11% of the total ferrous iron produced in DBC, underscoring the critical role as a redox-active molecular "ignition points". In contrast, LDOC mineralization followed a conventional carbon-centered anaerobic pathway. This study elucidates the contrasting mineralization behaviors of biogenic-sourced and combustion-sourced DON driven by DIR, revealing fundamental structure-reactivity relationships that govern N biogeochemical cycling.

How to cite: Zhang, Z., Cui, X., and Zhu, D.: Structural Diversity Controls Dissolved Organic Nitrogen Mineralization Driven by Dissimilatory Iron Reduction, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15866, https://doi.org/10.5194/egusphere-egu26-15866, 2026.

Redox processes within the Earth’s critical zone tightly couple organic carbon turnover with nutrient transformations and the mobility of redox-sensitive trace metals in groundwater. In livestock-dominated settings, manure and wash-water can impose substantial dissolved organic carbon (DOC) loads on shallow water resources, yet the coupled relationships among DOC, redox conditions, nitrate occurrence, and trace-metal behavior across interacting water compartments remain insufficiently constrained. This study evaluates these linkages at an animal husbandry site in Querétaro, Mexico, using a multi-proxy dataset (n = 6) spanning lagoon water, well water, irrigation water derived from stored groundwater, on-site tap water, and two university campus end-use waters included as external context. DOC concentrations were elevated across all waters (48.87–190.50 mg L⁻¹), with lagoon water defining a strong organic-loading endmember. Redox conditions ranged from reducing in lagoon water (ORP −17 mV; DO 2.31 mg L⁻¹) to oxidizing in other compartments (ORP 218–291 mV; DO 3.63–5.20 mg L⁻¹). DOC showed a strong inverse relationship with ORP (r = −0.93), while nitrate increased with ORP (r = 0.80) and decreased with DOC (r = −0.93), consistent with carbon-fueled oxygen demand and diminished nitrate persistence under lower redox potential. Trace metals exhibited element-specific responses: Zn and Cr increased with DOC (r = 0.97 and 0.83) and decreased with ORP (r = −0.98 and −0.96), indicating enhanced metal mobility under DOC-rich, reducing conditions. Lagoon water also displayed the highest electrical conductivity and markedly elevated Zn and Cr, supporting its role as a concentrated source reservoir. In contrast, Cu concentrations did not scale with DOC across compartments, suggesting additional source controls such as distribution-system influences. Overall, the findings identify livestock-derived DOC as a first-order driver of redox gradients that structure nitrate patterns and trace-metal behavior across both natural and engineered water systems.

How to cite: Tripathi, S. and Kumar, M.: Livestock-derived organic carbon drives redox gradients shaping nitrate and trace-metal behavior across interacting waters in Querétaro, Mexico, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15966, https://doi.org/10.5194/egusphere-egu26-15966, 2026.

“Redox-Dependent Molecular Signatures of Carbon Transformation and Persistence in incubated Dissolved Organic Matter”

Rania Mobarak1, Carsten Simon1,Klaus Holger Knorr2, Maximilian P. Lau3, Oliver J. Lechtenfeld1

  • BioGeoOmics, Department of Environmental Analytical Chemistry, Helmholtz Centre for Environmental Research-UFZ, 04318 Leipzig, Germany.
  • Institute of Landscape Ecology- ILÖk, University of Münster, 48149 Münster, Germany
  • Interdisciplinary Environmental Research Centre, Technische Universität Bergakademie Freiberg ,09599 Freiberg, Germany

Microbial transformation of dissolved organic matter (DOM) under anoxic conditions exerts a fundamental control on carbon persistence, redox coupling, and energy transfer in aquatic and peatland ecosystems. Although previous studies have demonstrated that anoxic microbial processing favors the accumulation of chemically reduced organic matter, the mechanistic links between DOM transformation pathways, electron acceptor availability, and microbial activity remain poorly constrained.

Here, we investigated DOM dynamics under controlled anoxic conditions using incubation experiments with natural DOM sourced from three ecosystems characterized by contrasting redox histories: (i) the hypolimnion of a holomictic lake, (ii) the monimolimnion of meromictic lake, and (iii) the permanently anoxic peat pore waters. Microbial inocula originating from each respective system were added to the DOM incubations, alongside parallel abiotic controls to disentangle biologically mediated from abiotic transformation processes. Anoxic conditions were established via N₂ purging and maintained throughout the 90-day incubation period, with all filtration and subsampling conducted inside an anoxic glove box to prevent oxygen intrusion.

Temporal changes in dissolved organic carbon (DOC) concentrations were monitored in conjunction with key inorganic electron acceptors, including nitrate, dissolved iron, and sulfate, to evaluate coupled carbon turnover and redox dynamics. Across all incubations, we observed pronounced initial changes in DOC and electron acceptor concentrations, followed by more gradual transformation phases, indicative of sustained microbial metabolism under anoxic conditions. Distinct temporal trajectories among ecosystems highlight the strong influence of prior redox exposure, electron acceptor availability, and intrinsic DOM quality on anoxic organic matter transformation pathways.

Ongoing molecular-level characterization using liquid chromatography coupled to Fourier transform ion cyclotron resonance mass spectrometry (LC-FT-ICR-MS) will resolve changes in DOM molecular composition, oxidation state, and energetic characteristics in relation to microbial metabolism and terminal electron-accepting processes. Together, this integrative approach provides mechanistic insight into how redox conditions regulate DOM reactivity and carbon persistence in anoxic environments, with implications for predicting carbon storage and redox-mediated feedbacks under shifting oxygen and hydrological regimes.

 

 

 

 

 

 

How to cite: Mobarak, R.: Redox-Dependent Molecular Signatures of Carbon Transformation and Persistence in incubated Dissolved Organic Matter, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16165, https://doi.org/10.5194/egusphere-egu26-16165, 2026.

EGU26-16672 | Orals | SSS5.5

Diverse organic amendments mitigate soil acidification by improving soil organic matter in acid soil area over four decades 

Lu Liu, Kailou Liu, Gilles Colinet, Meersmans Jeroen Jeroen, and Wenju Zhang

Organic amendments have shown profound performance to enhance soil carbon (C) sequestration and crop productivity.  However, the synergistic effects of various organic amendments on maintaining/improving pH buffering capacity (pHBC) remain unclear. Here, based on a 42-year ongoing field experiment, we explored the response of pHBC and crop productivity to synergistic incorporation of plant C input (green manure with or without straw) vs. diverse C input (livestock combined with plant C). Mineral fertilization caused pH decline by 0.12-0.39 units, compared with diverse C input. Plant C input showed no significant effect on pHBC, whereas diverse C input, e.g., synergistic incorporation of green and livestock manure, increased soil pHBC by 31-40% compared with control. This primarily attributed to the rise in Ex-Ca2+ and soil organic matter, particularly humic substance compositions. Furthermore, the protonation of organic anions produced from humic acid dissociation also enhanced pHBC. Critically, the mitigation of soil acidification establishes a critical foundation for improving crop yields, average outperforming control and plant C input by 32% and 12%, respectively. These findings highlight that the diverse C input based on soil amendments as agronomically optimal and sustainable strategy to mitigate soil acidification and sustain crop productivity in acid soil area.

How to cite: Liu, L., Liu, K., Colinet, G., Jeroen, M. J., and Zhang, W.: Diverse organic amendments mitigate soil acidification by improving soil organic matter in acid soil area over four decades, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16672, https://doi.org/10.5194/egusphere-egu26-16672, 2026.

EGU26-17085 | Posters on site | SSS5.5

Temporal shifts in microbial life-history strategies control ecosystem functioning under sustained nitrogen enrichment 

Jinyang Wang, Kejie Li, Zhenghu Zhou, Jie Wu, Mengxue Bo, Xuemeng Shen, and Jianwen Zou

Soil microorganisms play a central role in regulating terrestrial ecosystem functioning, yet their long-term responses to sustained atmospheric nitrogen (N) enrichment remain unclear. Here, we compiled a global dataset of 6,255 paired observations from 308 field-based N addition experiments to assess how ecosystem functionality and microbial properties respond across gradients of N input rate and experimental duration. Across ecosystems, N enrichment increased ecosystem functionality by 17.6% but reduced microbial biomass by 4.2%, with both effects strengthening under higher N inputs and longer exposure times. Spatially explicit meta-forest modelling revealed that long-term N enrichment elicited stronger ecosystem and microbial responses globally, with grid-scale variation primarily controlled by soil properties—especially soil pH, sand content, and bulk density—rather than by N deposition rates alone. Notably, we detected a temporal reversal in the relationship between microbial biomass and ecosystem functionality: positive under short-term N enrichment but increasingly negative over time. This shift likely reflects a transition in microbial life-history strategies, characterized by the replacement of oligotrophic (K-selected) taxa with copiotrophic (r-selected) taxa, leading to altered resource-use efficiency and declining microbial biomass. Our findings demonstrate that microbial biomass and life-history strategy shifts are critical determinants of long-term ecosystem functioning under sustained N enrichment, highlighting the dominant role of soil constraints in shaping ecosystem responses at the global scale.

How to cite: Wang, J., Li, K., Zhou, Z., Wu, J., Bo, M., Shen, X., and Zou, J.: Temporal shifts in microbial life-history strategies control ecosystem functioning under sustained nitrogen enrichment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17085, https://doi.org/10.5194/egusphere-egu26-17085, 2026.

EGU26-17172 | ECS | Orals | SSS5.5

Short-term carbon dynamics from ¹³C‑labelled maize residue and its derived biochar in long‑term NPK and NPK plus biochar amended soil 

Sobia Bibi, Barira Shoukat Hafiza, Wolfgang Wanek, Magdeline Vlasimsky, Mariana Vezzone, Janice Nakamya, Maria Heiling, Gerd Dercon, Taru Sandén, Rebecca Hood-Nowotny, and Adelheid Spiegel

Enhancing soil organic carbon (SOC) in croplands is fundamental to climate‑smart agriculture (CSA), yet the mechanisms by which labile and recalcitrant carbon (C) inputs build and stabilize SOC remain unclear. Crop residues supply labile C that improve microbial activity and particulate organic matter (POM) formation, whereas biochar is considered a recalcitrant, negative‑emission amendment. This study used ¹³C‑labelled maize crop residues and its derived biochar, applied at 1.5% w/w (1.46 atom% ¹³C) to trace amendment-derived C into different soil C pools such as particulate organic C (POC), mineral-associated organic C (MAOC), microbial biomass C (MBC), and microbial respiration. Soil was sampled (Grabenegg, Austria) from two long-term management practices: one fertilized with mineral NPK since 1954 (SM1) and one receiving the same NPK regime plus wood‑derived biochar since 2022 (SM2). In a 44‑day laboratory incubation we quantified how the laboratory amendment of 13C-crop residue and 13C-biochar, alone and interacting with the long-term soil management practices, affect microbial utilization and C stabilization.

The results showed that field biochar treated soil (SM2) had higher SOC (by 51%) than non-biochar amended field soil (SM1), indicating that longer-term biochar application enhanced soil C stocks. In the short-term, at day 44 of the incubation, SOC under laboratory applied biochar was highest in both soils (SM1: 21.1g C kg-1; SM2: 26.8 g C kg-1), followed by crop residue (SM1: 15.2 g C kg-1; SM2: 21.1 g C kg-1), compared to soil with no laboratory C amendment (SM1: 11.8 g C kg-1; SM2: 17.8 g C kg-1). This highlights that in the short-term SOC gains were higher for biochar (SOC gains of 9.0-9.3 g C kg-1) than for crop residue (SOC gains of 3.0-3.3 g C kg-1). In addition, both soils showed a strong positive relationship between SOC and POC (R² = 0.783) but not with MAOC, indicating that SOC increases were largely driven by changes in the POM. The 13C tracing will allow to partition and follow the amendment-derived allocation of C into microbial biomass, respiratory use, and the transfer from the POC into the MAOC pool by microbial turnover (data evaluation ongoing). Overall, biochar proved to be the most effective CSA amendment for enhancing SOC in both long-term and in the short-term.

How to cite: Bibi, S., Hafiza, B. S., Wanek, W., Vlasimsky, M., Vezzone, M., Nakamya, J., Heiling, M., Dercon, G., Sandén, T., Hood-Nowotny, R., and Spiegel, A.: Short-term carbon dynamics from ¹³C‑labelled maize residue and its derived biochar in long‑term NPK and NPK plus biochar amended soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17172, https://doi.org/10.5194/egusphere-egu26-17172, 2026.

EGU26-17183 | ECS | Orals | SSS5.5

Cryptic Fe-P cycling in sediments of a seasonally euxinic coastal system 

Lina Piso, Niels A.G.M. van Helmond, Signe Haukelidsaeter, Olga M. Zygadlowska, Robin Klomp, Wytze K. Lenstra, Mike S.M. Jetten, and Caroline P. Slomp

Anthropogenic phosphorus (P) loading is a key driver of eutrophication and deoxygenation of coastal 
marine ecosystems. Vivianite, an authigenic Fe(II)-P mineral, can act as a major sink for P in coastal 
sediments. In brackish and marine systems, vivianite formation is typically observed below the sulfate
methane transition zone (SMTZ), where Fe2+ is not scavenged to form Fe sulfides. However, vivianite 
has also been detected in euxinic coastal systems, highlighting the need to better understand P cycling 
under these conditions.  

Here, we investigated how seasonal variations in bottom water redox conditions impact P recycling and 
burial in a seasonally euxinic marine coastal basin (Scharendijke basin, Lake Grevelingen, the 
Netherlands) using water column chemistry, porewater geochemistry, solid-phase extractions and 
mineralogical analyses (light microscopy, micro-XRF and SEM-EDS).  

Our data reveals cryptic Fe-P cycling in the surface sediments, with transformation of Fe-oxide bound 
P to vivianite occurring above the SMTZ during spring and summer, when bottom waters shift from 
oxic to euxinic. We show that dissimilatory Fe reduction supplies porewater Fe2+ that reacts with 
phosphate to form vivianite, which we confirmed by a combination of light microscopy, micro-XRF 
and SEM-EDS. High sedimentation rates promote the rapid burial of these vivianite-rich layers below 
the SMTZ, preventing later exposure to sulfide and ensuring permanent P burial.

Our results indicate that vivianite formation and preservation in sediments overlain by seasonally 
euxinic bottom waters reflect an interplay between Fe availability, sulfide production, phosphate supply, 
and sedimentation rate. Porewater profiles observed in the Baltic Sea suggest that vivianite formation 
above the SMTZ may occur across a range of sedimentary settings. These findings highlight a 
previously unrecognized pathway of P transformation in surface sediments of brackish and marine 
coastal systems.

How to cite: Piso, L., van Helmond, N. A. G. M., Haukelidsaeter, S., Zygadlowska, O. M., Klomp, R., Lenstra, W. K., Jetten, M. S. M., and Slomp, C. P.: Cryptic Fe-P cycling in sediments of a seasonally euxinic coastal system, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17183, https://doi.org/10.5194/egusphere-egu26-17183, 2026.

EGU26-17408 | ECS | Posters on site | SSS5.5

Biotic and Abiotic Controls on Soil Nutrient Diffusion Flux Based on Microdialysis 

Min Wen and Wolfgang Wanek

Diffusion is a key mechanism controlling nutrient transport and availability in terrestrial ecosystems. This process is controlled by interactions among soil chemical, biological, and physical properties, through which biotic and abiotic factors jointly influence the diffusion of organic nutrients (e.g., amino acids and organic carbon and phosphorus compounds) as well as inorganic ions (anions and cations). Thus, identifying the key soil factors controlling the diffusion flux of different nutrient forms is important. However, most previous studies have examined the diffusion fluxes of individual nutrients and fewer studies have considered multiple organic nutrient forms together, but only in a few soils at maximum.

In this study, 63 soils covering different geologies and land management, with a wide texture and pH range, were collected across Austria. After transport to the laboratory, intact soil cores were brought to field capacity and after 48 hours subjected to microdialysis measurements of solute diffusion rates over 60 hours. Dialysate samples collected during the experiment were analyzed for amino acids (20 proteinogenic amino acids) as well as inorganic anions (Cl-, NO3-, SO42-, PO43-) and inorganic cations (NH4+, K+, Mg2+, Ca2+). In parallel, a duplicate set of soil cores were analyzed for soil physicochemical and biological properties, including soil pH, texture, pore size distribution, water content, soil organic carbon, total nitrogen, and total phosphorus, exchangeable cations, microbial biomass and respiration, and soil enzyme activities.

Across the 63 soils, soil pH values ranged from 3.9 to 8.2, and soil textures from sandy to clayey. Solute flux determination has been finished and final soil physicochemical properties are currently under analysis. We expect that (i) differences in soil texture lead to changes in pore structure and pore size distribution, as well as the continuity of water films and diffusion path lengths under field capacity, shorter path lengths at finer soil textures promoting nutrient diffusion in soil. (ii) Negative charges on clay minerals and soil organic matter increase cation adsorption and exchange, reduce cationic solute concentrations in the soil solution, and thereby slow down effective cation diffusion. (iii) Soil pH affects the surface charge of soil organic and mineral particles, which in turn affects the adsorption and release of inorganic ions and amino acids, thereby influencing their mobility and availability. 

To test these predictions, we will conduct an integrated data analysis of solute properties (e.g., mass, pKa, charge, hydrophobicity, solubility, %C, %N, %O, other structural properties) and soil properties (see above). We will test diffusive fluxes of all solutes quantified across the 63 soils with principal component analysis. In parallel, we will use LASSO (Least Absolute Shrinkage and Selection Operator), multiple linear regression, and structural equation models to understand direct and indirect controls on solute and nutrient fluxes by diffusion. By integrating the diffusion behavior of multiple organic and inorganic nutrients across a wide range of soils differing in soil physical, chemical and biological properties, this study will greatly improve our understanding of nutrient transport in heterogeneous soils, identify key drivers and thereby help clarify the processes influencing soil nutrient availability.

How to cite: Wen, M. and Wanek, W.: Biotic and Abiotic Controls on Soil Nutrient Diffusion Flux Based on Microdialysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17408, https://doi.org/10.5194/egusphere-egu26-17408, 2026.

EGU26-18325 | Orals | SSS5.5

Mapping the redox architecture of the critical zone for quantifying CO2 emissions from groundwater denitrification 

Hyojin Kim, Julian Koch, Birgitte Hansen, and Rasmus Jakobsen

While Earth’s critical zone is defined from the canopy to the base of aquifers, the role of groundwater in the greenhouse gas (GHG) budget remains under-represented. Groundwater acts as a massive biogeochemical engine where redox-driven processes play a vital role in nutrient cycles. In agricultural systems where nitrate leaches from the soil layer, the subsurface provides a critical ecosystem service through denitrification. However, this redox-driven process converts nitrate to N2 by oxidizing reduced materials such as organic carbon and pyrite, thereby producing dissolved inorganic carbon (DIC). Despite its potential to act as an anthropogenic source of CO2, the climatic implications of groundwater denitrification have not been quantitatively investigated on a large scale.

In this study (recently published in Biogeosciences, 2025), we investigated the DIC increase driven by denitrification across Danish aquifers. Using a national groundwater chemistry dataset and machine learning techniques, we identified eight different redox clusters spanning from oxic to methanogenic conditions. The spatial architecture of these redox clusters was found to be primarily governed by the hydrogeological framework. By combining the clusters with the subsurface structural information, we predicted the predominant denitrification processes at the redox interface, where nitrate is fully reduced to N2. Our results revealed that about 76% of the area is driven by pyrite oxidation, while the remainder is driven by organic carbon decomposition.

By coupling these findings with a national nitrogen model and the process-specific stoichiometry of N and C, we estimated that groundwater denitrification in Denmark releases approximately 104kt of CO2 annually. Current IPCC guidelines for GHG accounting cover liming, urea, and other carbon-containing fertilizers as anthropogenic CO2 sources from agricultural systems. However, our findings indicate that groundwater denitrification generates a CO2 flux equivalent to nearly half of the emissions from agricultural liming in Denmark (246 kt CO2 eq. yr-1), which is currently the predominant source. Crucially, groundwater denitrification exclusively mobilizes “old” geological carbon pools—organic carbon and carbonates—that have been stably stored for millennia. Because these pools are effectively non-renewable on human timescales, this represents a net addition of carbon to the active cycle. We conclude that a quantitative understanding of the coupling of C and N in the deep critical zone must be investigated across diverse global climatic and geological conditions.   

How to cite: Kim, H., Koch, J., Hansen, B., and Jakobsen, R.: Mapping the redox architecture of the critical zone for quantifying CO2 emissions from groundwater denitrification, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18325, https://doi.org/10.5194/egusphere-egu26-18325, 2026.

Wetlands represent critical yet vulnerable carbon reservoirs, whose stability is threatened by increasing redox fluctuations driven by climate change and human activities. Here, we investigated the mechanisms controlling soil organic carbon (SOC) mineralization during anaerobic-aerobic transitions and under warming conditions, using three black soils from Northeast China with contrasting land-use histories. Our results showed that anaerobic CO2 emissions increased by 29% - 44% under warming and governed by synergistic iron-organic carbon-microbe interactions, inducing the destabilization of iron-bound organic carbon. Upon oxygenation, short-term aerobic CO2 pulses were primarily driven by anaerobic legacy effects (e.g., preserved enzymes and reductants-derived •OH) rather than renewed microbial respiration, being more vulnerable to warming (25% - 31%) than prolonged oxygenation (10% - 17%) in soil A and soil B. Sterilization experiments showed that preserved enzymes contributed substantially more to aerobic CO2 pulses (52%) than •OH-mediated oxidation (27%) in soil A. A random forest model identified •OH and anoxic hydrolases as key predictors of short-term aerobic CO2 release (56.6% explained variance). Mechanistically, •OH played a dual role: promoting oxidative activity while simultaneously inhibiting anaerobic hydrolases. These findings establish that SOC mineralization potential and its temperature response are fundamentally determined by intrinsic soil properties, and anaerobic processes, traditionally viewed as C stabilization, may paradoxically drive C loss during redox fluctuations that intensify under climate warming.

How to cite: Wang, Y.: Redox-Driven Carbon Loss in Black Soils Under Climate Warming: The Overlooked Role of Anaerobic Legacy Effects , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18489, https://doi.org/10.5194/egusphere-egu26-18489, 2026.

EGU26-21029 | ECS | Posters on site | SSS5.5

Effects of crop rotation and organic fertilization on microbial biomass and enzyme kinetics in a long-term stockless/veganic field experiment 

Ulrike Schwerdtner, Nele Peglow, Morten Möller, Christian Bruns, Miriam Athmann, and Johanna Pausch

We need to radically transform our food and agriculture system to stay within the planetary boundaries. Sustainably increasing plant production while substantially reducing animal production unveils the need of alternatives to both chemical-based conventional and animal-based organic agriculture. In stockless farming systems, legume–grass mixtures provide no direct economic return; therefore, their proportion in crop rotations is often reduced. As a result, stockless farming is often considered challenging in terms of long-term soil fertility and plant nutrition, although research on this topic is rare. To address the specific challenges faced by veganic and stockless organic farming, a long-term field experiment was established in 2017 in Hesse, Germany, in which one veganic and two stockless organic farm systems differing in crop rotation, each combined with three fertilization systems, are compared to a mixed farm system with three livestock density levels. All systems also include an unfertilized control treatment, in which legume–grass mixtures are mulched. This experiment provides a unique basis for analyzing the long-term effects of different management and fertilization strategies on soil biogeochemical processes in detail.

Here, we aimed to study the effects of (stockless/veganic) crop rotation and organic fertilization on microbial biomass and enzyme kinetics. For this purpose, we collected soil samples from the topsoil (0-30 cm) after the harvest of potatoes in all 16 treatments in the second crop rotation of the experiment (8 years after experimental setup). We analyzed the soil microbial biomass by chloroform fumigation extraction, as well as the enzyme kinetics (Vmax, Km) of β-1,4-glucosidase (C cycle), β-1,4-N-acetylglucosaminidase, leucine aminopeptidase (N cycle), and phosphomonoesterase (P cycle) by microplate assays with fluorogenic substrates.

First results indicate that a stockless farming system, aiming at maximizing economic returns by prioritizing high-value root crops and cereals, shows a higher microbial N limitation than stockless farming systems aiming at increasing soil fertility or following veganic growing principles. Enzyme kinetics are generally more influenced by fertilization treatments than by farm types. Especially in the vegan farm type, Vmax of β-1,4-glucosidase, β-1,4-N-acetylglucosaminidase, and phosphomonoesterase differed significantly between the fertilization treatments (comparing compost, cut and carry, and silage).

Taken together, microbial biomass and enzyme kinetics are dependent on fertilization type, but less on farm type/crop rotation. Stockless/veganic and mixed farms do not differ significantly at first glance, especially if the stockless/veganic farms work towards maintaining and/or increasing soil fertility.

How to cite: Schwerdtner, U., Peglow, N., Möller, M., Bruns, C., Athmann, M., and Pausch, J.: Effects of crop rotation and organic fertilization on microbial biomass and enzyme kinetics in a long-term stockless/veganic field experiment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21029, https://doi.org/10.5194/egusphere-egu26-21029, 2026.

EGU26-21275 | ECS | Orals | SSS5.5

Spatial prediction of the groundwater nitrate reduction front across Flanders with borehole lithology and geochemistry data 

Abdul Hadi Al Nafi Khan, Mohsen Shirali, Nguyen Van Ho, Zahra Ahmadi, Jan Vanderborght, Erik Smolders, Estefanía Serral Asensio, and Jan Diels

Nitrate contamination of water bodies driven by agricultural activities remains a widespread environmental concern. In groundwater-fed surface waters, nitrate concentrations are governed by the transport of N-excess through groundwater systems. Denitrification plays a central role in mitigating this transport by reducing nitrate to inert N₂ gas in anoxic zones. The anoxic zone in an aquifer is separated from the oxic zone by a sharp boundary, i.e., the nitrate reduction front (NRF). This NRF can be retrieved from sediment colour changes, shifting from oxidised hues (yellow, brown, or red) to reduced colours (grey, green, or black), provided there are sufficient Fe-bearing minerals and redox colours are not masked by high clay or organic matter contents. Hydrochemical data from multilevel observation wells provide a more integrated signal of redox conditions, yet precise NRF delineation remains challenging since usually, groundwater sampling is not done for consecutive depth intervals. Integrating lithological and hydrochemical information therefore offers a more robust approach.

This study presents a two-stage machine learning (ML) framework to predict groundwater NRF positions across Flanders. Firstly, a logistic regression model (ML1) was developed to estimate oxidation probabilities for individual borehole layers using lithological characteristics (colour, texture, stratigraphy) and relative depth within the aquifer as predictors. The model reproduced the redox conditions (reduced or oxidized) in 72% of borehole layers, which were assessed from the hydrochemistry (dissolved oxygen, [Fe2+] and redox potential) of the associated filters for groundwater monitoring.[JV2] [ES3]   The derived probabilities were used to assess the likelihood that a boundary between two borehole layers is located at the NRF leading to a likelihood-depth profile. A separate likelihood profile was developed using the hydrochemistry data from the filters of a multilevel borehole. Multiplication of these two profiles yielded the most probable NRF position, resulting in NRF estimates at 1,902 locations.

Secondly, these positions were used to train a gradient-boosted regression tree model (XGBoost) to predict the NRF depth for any location across Flanders (ML2i). The training data were the NRF depths at the 1,902 multilevel observation wells.

 

How to cite: Khan, A. H. A. N., Shirali, M., Van Ho, N., Ahmadi, Z., Vanderborght, J., Smolders, E., Serral Asensio, E., and Diels, J.: Spatial prediction of the groundwater nitrate reduction front across Flanders with borehole lithology and geochemistry data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21275, https://doi.org/10.5194/egusphere-egu26-21275, 2026.

EGU26-22125 | Posters on site | SSS5.5

Chemical Speciation of Phosphorus, Iron, and Manganese in Arctic Sediments of Baffin Bay: A Microbial Community Perspective 

Khoren Avetisyan, Maria Dittrich, Sara Zaferani, Mahmud Hassan, and Liisa M. Jantunen

The chemical speciation of phosphorus (P), iron (Fe), and manganese (Mn) in Arctic marine sediments is critical for evaluating nutrient availability, redox dynamics, and carbon preservation in rapidly changing polar environments. In Baffin Bay, intensifying climate-driven changes in sea-ice cover, primary productivity, and terrestrial inputs have increased the significance of microorganisms in mediating mineral transformations and diagenetic pathways that control the mobility of these elements. This study examines the relationship between microbial community composition and the speciation of P, Fe, and Mn in sediment cores collected along a depth gradient from shallow coastal zones to deep basins. Through the integration of solid-phase extractions, porewater chemistry, sediment geophysical properties, and microbial community profiling, microbially driven redox transitions that regulate elemental release, retention, and burial are identified. The results demonstrate that distinct microbial assemblages, particularly iron-reducing, sulfate-reducing, and manganese-oxidizing taxa, are associated with zones of intensified elemental cycling, thereby influencing the distribution of reactive and mineral-bound P, Fe, and Mn. These findings emphasize the role of microbially mediated geochemical processes in controlling nutrient cycling and sedimentary stability in Baffin Bay and offer a framework for predicting future biogeochemical responses to ongoing Arctic environmental change.

How to cite: Avetisyan, K., Dittrich, M., Zaferani, S., Hassan, M., and Jantunen, L. M.: Chemical Speciation of Phosphorus, Iron, and Manganese in Arctic Sediments of Baffin Bay: A Microbial Community Perspective, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22125, https://doi.org/10.5194/egusphere-egu26-22125, 2026.

EGU26-22459 | Orals | SSS5.5

Plant uptake of soil carbon: an overlooked flux in carbon cycling? 

Nele Meyer, Lea Giese, Kristiina Karhu, Heljä-Sisko Helmisaari, and Franziska B. Bucka

Plants are an essential part of the terrestrial C cycle, and it is commonly assumed that they acquire C solely from the atmosphere. However, evidence from plant physiology research indicates that plants can also take up dissolved C via their roots. This concept, however, is not commonly acknowledged within the soil science community. If such an uptake mechanism existed, it could significantly impact C cycling studies involving plants. Here, we aimed at quantifying plant C uptake from solution and soil in two pot experiments. In a first experiment, seedlings of Plantago lanceolata and Picea abies were grown in hydroculture enriched with 13C-labelled glucose or L-lysine. After four weeks, 2.0-5.5% of the applied 13C was recovered in the plants, along with a shift in the δ13C signal of the plant tissues from -31‰ up to +78 ‰. Here, our findings suggest a larger uptake of lysine as compared to glucose. In a second experiment, plants were grown for eight weeks in both sandy and silty soil amended with 13C-labelled soil organic carbon (SOC). After harvesting, we found up to 0.74% of the available tracer substance to be recovered in the plant tissues. Our findings show that the pathway of root C uptake from soil exists, but this mechanism has minor relevance in soil, likely due to competition with microbes for available C. However, it indicates the need for adjustments in our understanding of plant-soil interactions with respect to SOC dynamics, especially in experimental setups where 13C is added to soil: A decrease in soil 13C cannot be attributed exclusively to mineralization processes.

How to cite: Meyer, N., Giese, L., Karhu, K., Helmisaari, H.-S., and Bucka, F. B.: Plant uptake of soil carbon: an overlooked flux in carbon cycling?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22459, https://doi.org/10.5194/egusphere-egu26-22459, 2026.

EGU26-916 | ECS | Posters on site | SSS5.6

Nitrate fertilization doubles chemical weathering and boosts crop yield in olivine-amended acidic soils 

Chi-Wang Tsui, Ci-Jian Yang, Jr-Chuan Huang, and Zeng-Yei Hsu

Enhanced silicate weathering (ESW) can contribute to carbon dioxide removal (CDR) while improving acidic soils, but the interplay with fertilization remains poorly understood. We performed pot experiments with water spinach (Ipomoea aquatica) to examine how fertilizer, KNO₃ and K₂SO₄, interact with powdered olivine to affect CO₂ removal and plant growth. We estimated CO₂ uptake via extractable Mg and measured the Mg budget in our pot experiments, including: accumulated Mg in leachate, extractable Mg in soils, and Mg stored in plant tissues. Results showed that both fertilizers, KNO₃ and K₂SO₄, can accelerate Mg dissolution. The addition of 1.0 g KNO₃ with 20 g olivine could remove 1.97 t CO₂ ha⁻¹, nearly twice the amount removed by olivine alone (0.92 t CO₂ ha⁻¹) and more than K₂SO₄ (0.69 t CO₂ ha⁻¹). Compared with the control, KNO₃ increased dry biomass by 217% and Mg uptake in plants by 3.8–4.2 times, indicating that EW can also enhance vegetation uptake and lower soil acidity (pH increased from around 4.1 to 4.5). The Mg mass balance revealed that less than 2% of dissolved Mg was found in leachate, while roughly 40–54% remained in soil, about 7–13% in plant biomass, 3–5% in extractable pools, and 26–60% in residual pools that could not be explained. Our study suggests that combining powdered olivine with nitrate fertilization offers a synergistic approach to boost crop productivity, enhance CO₂ removal, and mitigate soil acidity. It is noted that the leachate measurements of Mg would not represent the short-term CO₂ removal and closure of Mg budget is not easy due to the uncertainties in soil extraction.

How to cite: Tsui, C.-W., Yang, C.-J., Huang, J.-C., and Hsu, Z.-Y.: Nitrate fertilization doubles chemical weathering and boosts crop yield in olivine-amended acidic soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-916, https://doi.org/10.5194/egusphere-egu26-916, 2026.

EGU26-2563 | Orals | SSS5.6 | Highlight

Do economic preferences predict public support for different carbon dioxide removal technologies? 

Chad M. Baum, Leonhard Lades, Livia Fritz, and Benjamin Sovacool

Carbon dioxide removal (CDR) is an essential and integral part of the European Climate Law, while the Intergovernmental Panel on Climate Change (IPCC) recognizes CDR as a “necessary element” to keep global warming well below 2°C, let alone 1.5°C. There is extensive debate in expert and policy circles about the role of CDR for achieving ambitious climate objectives. Engaging with publics around CDR technologies is crucial, however, given their broad unfamiliarity and the potential for backlash once technologies are deployed more widely (if not earlier).

Though there is an increasingly rich literature on public perceptions of CDR, several key gaps remain. First, there is a tendency to neglect those in the global South. Second, though there has been an understandable focus on climate beliefs and beliefs about science and technology, there is little consideration of the individual differences to take risks, delay outcomes, and act pro-socially (i.e. “economic preferences”). The broad importance of economic preferences has been established across various domains. As CDR becomes a more commercially viable (and less hypothetical) proposition, such economic preferences are also more likely to have meaning.

Using cross-country, nationally representative surveys in five countries (China, Germany, US, Brazil, Kenya; 4000 participants), we examine perceptions and support of CDR technologies and climate policies. Following our pre-registered hypotheses, we employ regression analysis to establish whether six types of economic preferences (risk-taking, patience, altruism, positive reciprocity, negative reciprocity, trust) predict support for three CDR technologies: direct air capture; afforestation and reforestation; enhanced rock weathering. We employ validated measures from Falk et al. (2018) as the key determinants, along with variables for climate beliefs, environmental identity, science and technology beliefs; and trust in responsible institutions. These additional variables will be examined as potential moderating factors of the relationship between economic preferences and CDR support.

How to cite: Baum, C. M., Lades, L., Fritz, L., and Sovacool, B.: Do economic preferences predict public support for different carbon dioxide removal technologies?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2563, https://doi.org/10.5194/egusphere-egu26-2563, 2026.

EGU26-2931 | ECS | Posters on site | SSS5.6

Forest modulation in enhanced olivine weathering: Insights fromMulti-Year Forest Trials and Global Scalability 

Xinye Shi, Ci-Jian Yang, Chun-Wei Tseng, and Chiu-Hsien Wang

Enhanced Silicate Weathering (ESW) using olivine is a promising Carbon Dioxide Removal (CDR) technology, yet the influence of forest type on its efficiency remains poorly understood. This study presents results from a 897-day field experiment comparing olivine (194 t ha -1 ) dissolution across grassland, coniferous, and broadleaf forest. By coupling high-resolution runoff chemistry with vertical hydrologic monitoring, we demonstrate that vegetation type dictates carbon sequestration efficiency. Our field trial reveals that the broadleaf forest achieves the highest CDR rate of 377.24 kg ha -1 y -1, which is 2.2 times higher than the 168.10 kg ha -1 y -1 of the coniferous forest and over 10 times that of 35.29 kg ha -1 y -1 of the grassland. Owing to the broadleaf forest has 1.74 times higher belowground biomass than a coniferous forest, root-derived organic acids may contribute to mineral dissolution. Scaling these findings via a 0.05° global model, we identify tropical broadleaf forests as primeESW hotspots, capable of removing up to 3.77 t ha -1 y -1,  higher than 1.16 t ha -1 y -1 of cropland.

 

How to cite: Shi, X., Yang, C.-J., Tseng, C.-W., and Wang, C.-H.: Forest modulation in enhanced olivine weathering: Insights fromMulti-Year Forest Trials and Global Scalability, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2931, https://doi.org/10.5194/egusphere-egu26-2931, 2026.

EGU26-4047 | Orals | SSS5.6

Assessing mineral dissolution and secondary mineral formation during enhanced weathering on agricultural sites 

Philip Pogge von Strandmann, Jens Hammes, Ralf Steffens, Anna Anke Stöckel, Ingrid Smet, and Dirk Paessler

Enhanced rock weathering (ERW) has the potential of being a comparatively cheap carbon dioxide removal method, as most infrastructure already exists. However, questions still remain on both dissolution rates of the feedstock added to agricultural fields, as well as processes that reduce the efficiency of the CO2 drawdown reaction.

Such significant process are the soil’s cation exchange capacity (CEC) and secondary mineral formation. These take up elements from the dissolving feedstock, and retain them on timescales varying from several years (CEC) to thousands of years (secondary minerals).

In this study we have sampled 10 fields in Germany 27 months years after they were amended with Eifelgold basalt by the Carbon Drawdown Initiative. These samples, combined with pre-amendment and control samples, allow us to examine feedstock dissolution and secondary mineral formation on fields that subsequently underwent standard agricultural use. Amendment amounts vary between 12 and 48 t/ha, and the fields also have a range in cation exchange capacity and soil pH.

We use a combination of SOMBA (soil mass balance approach – i.e. cation/Ti ratios determined by isotope dilution (Suhrhoff et al., 2025)), sequential leaching of the soils to separate different secondary phases, and lithium isotope ratios. The latter are fractionated by secondary mineral formation, and provide a highly sensitive method to estimate secondary mineral neoformation (Pogge von Strandmann et al., 2025).  

Based on these methods, between 25 and 45% of the feedstock dissolved during the 27 months of reaction. Of this dissolved material, on average 40% was taken into the CEC, 15% into carbonates, 4% into oxides and <10% into clays.

Thus, between 3 and >20% of the total feedstock actually remained in solution after secondary mineral formation, with an additional 3 to 16% of the total feedstock temporarily retained by cation exchange. These values align with those predicted for German climate from weathering experiments and natural basalt samples.

 

 

Pogge von Strandmann P. A. E., He X., Zhou Y. and Wilson D. J. (2025) Comparing open versus closed system weathering experiments using lithium isotopes. Applied Geochemistry 189, 106458.

Suhrhoff T. J., Reershemius T., Jordan J. S., Li S., Zhang S., Milliken E., Kalderon-Asael B., Ebert Y., Nyateka R., Thompson J. T., Reinhard C. T. and Planavsky N. J. (2025) An Updated Framework and Signal-to-Noise Analysis of Soil Mass Balance Approaches for Quantifying Enhanced Weathering on Managed Lands. Environmental Science & Technology 59, 26440-26453.

How to cite: Pogge von Strandmann, P., Hammes, J., Steffens, R., Stöckel, A. A., Smet, I., and Paessler, D.: Assessing mineral dissolution and secondary mineral formation during enhanced weathering on agricultural sites, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4047, https://doi.org/10.5194/egusphere-egu26-4047, 2026.

EGU26-5623 | ECS | Orals | SSS5.6

Ecosystem responses determine the effectiveness of enhanced rock weathering for climate mitigation 

Gregory Jones, Lena Lancastle, Katherine Clayton, Dimitar Z. Epihov, Ziyan Zhang, Colin Averill, Pete Smith, David J. Beerling, Heather Allen, Charles Nicholls, Athanasios Paschalis, and Bonnie Waring

The effectiveness of enhanced rock weathering (ERW) for carbon dioxide removal (CDR) in open systems, such as forests, remains poorly quantified. Although ERW has been deployed predominantly in agricultural systems, its performance in forestry contexts remains underexplored despite its substantial mitigation potential. Forests offer the potential for both inorganic and both above- and belowground organic CDR following silicate feedstock amendment, but field-scale evidence remains limited. We report findings from a four-year ERW-reforestation experiment in South Wales, UK (11.5 ha; N = 64 plots), designed to capture ecosystem-level responses. The experiment used a fully factorial design that manipulated forest type (native broadleaf versus coniferous), feedstock amendment (amended versus unamended), and incorporated measurements of feedstock dissolution, pore water chemistry, soil CO2 efflux, soil carbon pools, and aboveground tree biomass. Inorganic CDR was detectable but small: alkalinity export from upper soil layers corresponded to -0.19 ± 0.21 t CO2eq ha-1 yr-1, with most weathering products remaining in the soil column. Organic pathways dominated cumulative system responses. Tree growth accelerated following metabasalt amendment, yielding an estimated -0.34 ± 0.07 t CO2eq ha-1 yr-1 of additional aboveground CDR. By contrast, soil CO2 efflux increased by 2.54 ± 4.04 t CO2eq ha-1 yr-1, but with substantial variability across time and space. When integrated, these fluxes produced a net ecosystem carbon emission of 2.01 ± 4.05 t CO2eq ha-1 yr-1 over the study period. Although belowground plant biomass was not directly quantified, plausible upper‑bound estimates (≈0.3–0.4 t CO₂eq ha⁻¹ yr⁻¹) do not alter the magnitude or direction of this net flux. Overall, ERW influenced CDR primarily through organic pathways, underscoring the need to better constrain plant-soil feedbacks before large-scale deployment. 

How to cite: Jones, G., Lancastle, L., Clayton, K., Epihov, D. Z., Zhang, Z., Averill, C., Smith, P., Beerling, D. J., Allen, H., Nicholls, C., Paschalis, A., and Waring, B.: Ecosystem responses determine the effectiveness of enhanced rock weathering for climate mitigation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5623, https://doi.org/10.5194/egusphere-egu26-5623, 2026.

EGU26-5913 | Posters on site | SSS5.6

Interaction between enhanced weathering and sources of organic carbon: effects on reactivity of metal slags and inorganic carbon dynamics 

Bart Vandecasteele, Jasper Roussard, Micaela Cosgrove, and Sara Vicca

The optimization of enhanced mineral weathering as a carbon dioxide removal technology is a topic of recent research, also for agricultural land in Europe. The combination of organic amendments with silicates is one strategy to optimize the carbon dioxide removal potential of enhanced weathering. In the C-Farms project the focus is on the added value of combining enhanced weathering through basalt or metal slags with the application of C-rich materials in agricultural soils. Co-application of inorganic (silicate rocks or metal slags) with organic (biochar, digestates or compost) amendments revealed synergistic effects whereby organic amendments may increase the rates of silicate weathering. These interaction effects are studied in soil mesocosms studies and controlled soil leaching trials.

In one of the experiments without using soil as a matrix, the direct interaction between weathering and organic C in mixtures of metal slags from stainless steel production and different carbon-rich materials was studied. Mixtures of 80% v/v carbon-rich materials and 20 % v/v metal slags were amended with mineral fertilizer, moistened and incubated for 8 weeks at 20°C. Different types of biochar were compared with other organic amendments like hydrochar, compost, manure-based hydrochar, and dried digestate. CO2 flux was measured three times per week. After the incubation period, the mixtures were analysed for chemical composition, including pH, mineral N and both organic and inorganic C content.

Negative CO2 fluxes were observed in most of the mixtures during incubation, confirming the reactivity of the stainless steel slags and their potential for carbon dioxide removal. Some organic materials had a lower biological stability, resulting in higher CO2 fluxes than for organic amendments with a higher biological stability. Although some types of manure-based organic matter had high positive CO2 fluxes due to the lower biological stability when incubated as a pure material, the combination of the unstable organic matter with metal slags resulted in negative CO2 fluxes, indicating that metal slags counteracted the CO2 emissions from the organic amendment. This may be related to the high pH and acid-buffering capacity of the metal slags, resulting in a pH of the mixture beyond the optimal pH range for biological activity.

By mixing metal slags and manure-based products with a lower biological stability and thus a higher CO2 release, the C capture as inorganic C by the metal slags may be increased. This may indicate a higher potential for enhanced weathering than when only metal slags are applied in the soil, but this should be confirmed in ongoing soil-based experiments. The added value for enhanced weathering of testing the direct interaction between pure metal slags and organic amendments will be discussed.

How to cite: Vandecasteele, B., Roussard, J., Cosgrove, M., and Vicca, S.: Interaction between enhanced weathering and sources of organic carbon: effects on reactivity of metal slags and inorganic carbon dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5913, https://doi.org/10.5194/egusphere-egu26-5913, 2026.

EGU26-6619 | Posters on site | SSS5.6

Effects of Enhanced Rock Weathering (ERW) on primary productivity and evapotranspiration rates estimated via satellite remote sensing  

Gregory R. Goldsmith, Elliot Chang, Mona Patterson, Joshua Fisher, Rennie Jones, Ilsa Kantola, Jannik Martens, and Gabriela Shirkey

Enhanced Rock Weathering (ERW) holds significant potential to achieve substantial, durable carbon storage at a global scale. As ERW continues to grow as a commercially deployed carbon dioxide removal technology, there is a critical need to identify and quantitatively assess its effects on ecosystem processes beyond measures of carbon storage. Previous studies have examined the effects of ERW on soil, plants, and animals; however, few studies have explored potential effects on the water cycle. In particular, observations that the application of crushed rocks may increase plant biomass raise important questions as to whether there is a concomitant increase in plant water use, which would alter ecosystem water balance.  

We compared primary productivity and evapotranspiration between control and treatment plots in two independent trials where crushed rock (basalt) was applied for enhanced rock weathering. The trials comprise 4 different crop combinations (miscanthus, maize, soybean/corn, and hay) totaling 59 plots with an average size of ~2 ha. Basalt was applied at a rate of 44.8 t ha-1in one trial and 50 t ha-1in the second trial. We used the Normalized Difference Vegetation Index (NDVI) from Sentinel-2 as one measure of productivity and estimates of gross primary productivity and evapotranspiration were obtained from NASA’s ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS). 

Both trials found evidence for significant increases in grain yield in plots where crushed rock was applied, although we found no significant differences in NDVI or GPP between control and treatment plots over the course of the time series. Notably, we found no significant differences in evapotranspiration between control and treatment plots, even when specifically comparing times where peak biomass would be expected to lead to peak water use. Crops followed typical seasonal patterns of productivity and water use, indicating the utility of high-resolution satellite remote sensing for monitoring ERW.  

A change in evapotranspiration associated with ERW deployment would have important implications for ecosystem water balance in these commercial agricultural systems, as well as for the water available for exporting dissolved inorganic carbon from the system. We find no evidence for a change in evapotranspiration. Our results serve as the foundation for studying how ERW may affect different parts of the terrestrial water cycle.  

How to cite: Goldsmith, G. R., Chang, E., Patterson, M., Fisher, J., Jones, R., Kantola, I., Martens, J., and Shirkey, G.: Effects of Enhanced Rock Weathering (ERW) on primary productivity and evapotranspiration rates estimated via satellite remote sensing , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6619, https://doi.org/10.5194/egusphere-egu26-6619, 2026.

EGU26-7857 | ECS | Posters on site | SSS5.6

Enhanced Weathering: The effect of water-rock ratio on secondary mineral formation – evidence from lithium isotopes  

Paul Borucki, Antonia Weinert, and Philip Pogge von Strandmann

Silicate weathering is assumed to serve as a long-term climate stabilizing process by drawing down CO2 from the atmosphere. Weathering also has the potential to act as a negative emissions technology (enhanced weathering). A particular aspect of weathering that affects CO2 drawdown is clay formation, which hinders the sequestration of carbon. The Lithium (Li) isotope system is considered to trace silicate weathering processes and secondary mineral formation, but the exact mechanisms that control fractionation are still not fully understood, especially aspects like adsorption vs. incorporation, and the controls by secondary mineralogy. A further aspect that is currently unknown is the effect of the water-rock ratio, given that in principle, more water relative to rock should result in less supersaturation (and hence precipitation) of secondary minerals.

In this project, we present data from a series of closed batch silicate weathering experiments, conducted at different temperatures, and with different rock types and different water-rock ratios. We let basalt, granite and sandstone react with a characterized water for ~70 days under different conditions to simulate weathering of powdered silicate rocks in different climatic settings.

Our results show that the pH of the solution decreases by 0.1-0.2 for sandstone and granite, and 0.4-0.5 for basalt. At room temperature, Li concentrations in the sandstone solution linearly decrease from ~40µg/l to ~37µg/l while granite solution Li concentrations decrease from 275µg/l to 247µg/l, suggesting varying amounts of clay formation in the different experiments. At 6°C Li concentrations in the sandstone solution stay constant between 33µg/l and 36µg/l. At the same temperature the granite solution shows an increase in Li concentration from 234µg/l to 280µg/l. Different water/rock ratios provided no systematic change in pH, but element concentrations were clearly affected after ~70 days of reaction time. Lithium isotope ratios increase as secondary minerals form, with variations according to water-rock ratio and lithology. Overall, the data shows that the water-rock ratio has a significant effect on both rock dissolution and secondary mineral formation, with implications for both natural and enhanced weathering.

How to cite: Borucki, P., Weinert, A., and Pogge von Strandmann, P.: Enhanced Weathering: The effect of water-rock ratio on secondary mineral formation – evidence from lithium isotopes , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7857, https://doi.org/10.5194/egusphere-egu26-7857, 2026.

EGU26-8083 | ECS | Orals | SSS5.6

Rock/soil interactions governing alkalinity release and cation retention in greenhouse enhanced weathering experiments 

Jens S. Hammes, Jens Hartmann, Johannes A.C. Barth, Tobias Linke, Ingrid Smet, Mathilde Hagens, Philip A.E. Pogge von Strandmann, Tom Reershemius, Bruno Casimiro, Arthur Vienne, Anna A. Stoeckel, Ralf Steffens, Melissa J. Murphy, and Dirk Paessler

Enhanced weathering (EW) is a promising, scalable approach to carbon dioxide removal (CDR). It involves accelerating the weathering of minerals in soils to convert atmospheric CO₂ into carbonate alkalinity. Despite numerous studies, it remains unclear which soil/feedstock combinations achieve the highest alkalinity export and greatest CDR. This uncertainty remains because results strongly depend on experimental design, environmental conditions and soil/feedstock types.

We systematically investigated alkalinity formation and the fate of released or retained cations in a large-scale greenhouse experiment. Over a period of two years, we operated 10 L lysimeter mesocosms that grew English ryegrass (Lolium perenne) under controlled accelerated weathering conditions (>19 °C and > 2,000 mm irrigation per year). We tested four soil types with thirteen feedstocks and recorded alkalinity and cation export in soil water leachates monthly. For a subset of the samples, we quantified soil cation pools using sequential extractions (exchangeable, carbonate-bound, oxides and clay/silicate fractions) to determine the potential temporary reservoirs and irreversible cation sinks.

Our results show that the amount of weathering products entering the leachate varied substantially: although several treatments showed increased cumulative leachate alkalinity relative to their controls, some soil/feedstock combinations showed no change or even reduced alkalinity export, including for the same feedstock applied to different soils. Alkalinity production generally followed expected dissolution kinetics (steel slag > limestone/carbonate-rich metabasalt > peridotite > basanite). Highest leachate alkalinity export relative to control was observed in acidic soils, whereas little to no relative change observed in more neutral ~pH 7 soils could reflect suppression of mineral dissolution and carbonate saturation and precipitation. Soil cation pool distribution shifted markedly within the first year, and collectively retained 10 to 50 times more cations than exported as alkalinity. This implies that short-term 'realised' CDR as exported carbonate alkalinity can be far lower than the potential unrealised CDR that could be unlocked when cations are released from temporary soil retention pools.

A follow-up greenhouse experiment on 23 soils and 22 feedstocks was commenced in early 2025, spanning more than 300 soil/feedstock combinations. This expanded dataset will enable more robust attribution of controls on EW performance, such as soil pH/buffering capacity, mineralogy and reactive Ca–Mg supply. This setup will also allow identification of soil/feedstock combinations that maximise alkalinity generation under minimal cation retention in non-exportable pools. We will for the first time share early results from this follow-up experiment.

Our results emphasise that robust CDR quantification for EW should consider cation binding dynamics and pool transfers, as well as mineral saturation effects. Leachate-based alkalinity measurements alone provide an incomplete picture of available weathering products, particularly when rapid soil retention dominates early stage dynamics.

How to cite: Hammes, J. S., Hartmann, J., Barth, J. A. C., Linke, T., Smet, I., Hagens, M., Pogge von Strandmann, P. A. E., Reershemius, T., Casimiro, B., Vienne, A., Stoeckel, A. A., Steffens, R., Murphy, M. J., and Paessler, D.: Rock/soil interactions governing alkalinity release and cation retention in greenhouse enhanced weathering experiments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8083, https://doi.org/10.5194/egusphere-egu26-8083, 2026.

EGU26-8280 | ECS | Orals | SSS5.6

Inferring Enhanced Weathering Carbon Dioxide Removal and agronomic impacts from agronomic studies using silicate rock flour: a systematic synthesis 

Tim Jesper Suhrhoff and the Enhanced Weathering Database and Meta-Analysis Team

Enhanced Weathering (EW) is increasingly discussed as a scalable carbon dioxide removal (CDR) approach, yet its real-world feasibility remains poorly constrained and is still largely inferred from modeling studies. Here we present results from an international systematic review and database effort that compiles reported CDR estimates alongside geochemical measurements and qualitative meta-data from the rapidly expanding EW literature, as well as from agronomic studies investigating silicate rock flour use as a fertilizer. Focusing on this agronomy-oriented rock flour literature, we leverage reported geochemical observations—including soil and porewater chemistry, changes in soil inorganic carbon stocks, cation exchange capacity and base saturation, and cation release from applied rock powders—to derive novel, observation-constrained estimates of EW-driven CDR. These geochemically derived estimates are integrated with reported CDR values from the broader literature to assess how deployment choices and quantification approaches influence inferred CDR rates. In addition, we systematically analyze reported agronomic responses to silicate rock flour applications, including crop yield and soil pH, to examine how agronomic performance co-varies with geochemical weathering signals and inferred CDR. Across both agronomic responses and CDR estimates, we find evidence for non-linear dose–response behavior with increasing rock application, indicating diminishing marginal benefits at higher rates in many contexts. This pattern suggests that a substantial fraction of agronomic utility and CDR may be achievable at relatively low application rates. The underlying database will be released open access to support transparent synthesis, scenario analysis, and measurement, reporting, and verification (MRV) development for EW research and applications.

How to cite: Suhrhoff, T. J. and the Enhanced Weathering Database and Meta-Analysis Team: Inferring Enhanced Weathering Carbon Dioxide Removal and agronomic impacts from agronomic studies using silicate rock flour: a systematic synthesis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8280, https://doi.org/10.5194/egusphere-egu26-8280, 2026.

Using crushed rock products as a soil amendment or for enhanced plant growth is an old method and literature on this topic goes back to the early 20th century and before. However, the systematic conceptualization of terrestrial mineral reactions as a carbon capture strategy was prominently outlined in an article by Schuiling and Krijgsman (2006). Their work might be seen as a pivotal starting point for systematically discussing the method of Enhanced Weathering in the scientific literature, which was now 20 years ago. Early studies evaluated underlying principles and tried to assess the carbon dioxide removal (CDR) potential. As the research field of Enhanced Weathering became more mature, additional aspects and processes were brought into the discussion. Considering the nearly unlimited possible combinations of the application of ground rock/alkaline products to the terrestrial system – across different soil systems, located in different climates and including diverse ecosystems or agricultural systems - makes the understanding of the underlying processes and rates of matter transfer highly relevant. This includes, liberating cations from rock/alkaline material, “parking” cations in soil pools, assessing the influence of organic acids, carbonate formation, changes in soil organic carbon, transport of alkalinity or co-benefits with other CDR-methods. I will reflect on this journey, which began in the specialized domain of geology and geochemistry and has since evolved into a highly interdisciplinary research field at the intersection of agronomy, climate policy, and economics. While many aspects remain to be fully elucidated, an Enhanced Weathering CDR industry is emerging, with carbon credits already issued. Therefore, ongoing, collaborative research remains critical to refining our understanding of geochemical uncertainties and environmental co-benefits.

How to cite: Hartmann, J.:  About 20 years of science on terrestrial Enhanced Weathering , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8365, https://doi.org/10.5194/egusphere-egu26-8365, 2026.

EGU26-9606 | Posters on site | SSS5.6

An assessment of the agronomic benefits of silicate rock powders in Brazil in the context of a novel classification 

Philipp Swoboda, Eder de Souza Martins, Gisele Freitas Vilela, Giuliana Marchi, Luis Ferreira, Carlos Augusto Posser Silveira, Mariane Chiapini, Marcella Daubermann, Mayra Maniero Rodrigues, Matthew O. Clarkson, Junyao Kang, Veronica Furey, David A.C. Manning, and Christina Larkin

The agronomic potential of crushed silicate rock amendments has long been suggested for highly weathered, nutrient-depleted soils of the tropics. Brazil has emerged as a global leader in the use of silicate agrominerals (ASi); silicate-rich rock powders that supply plant nutrients and improve soil properties. However, despite decades of research and a unique regulatory framework for soil remineralizers, the research landscape remains fragmented, and there is currently no synthesis of tropical ASi experiments.   

We synthesized results from 54 peer-reviewed Brazilian field and pot experiments using a novel classification system for ASi based on lithochemistry and practical agricultural considerations. It evaluates the effects of ASi on soils, plant growth, and nutrient uptake. Our results demonstrate that ASi can significantly improve soil pH, cation exchange capacity, and base saturation, while enhancing yield and nutrient availability. Notably, a consistent trend emerged indicating that ASi can indirectly increase soil phosphorus availability, despite low intrinsic P contents of the applied ASi. 

We recommend minimum requirements for standardized methodologies and suggest real-world research designs to support broader ASi adoption. Brazil's pioneering role offers valuable insights for scaling the usage of ASi across tropical agricultural systems worldwide, contributing to sustainable food production and climate resilience.

How to cite: Swoboda, P., de Souza Martins, E., Freitas Vilela, G., Marchi, G., Ferreira, L., Augusto Posser Silveira, C., Chiapini, M., Daubermann, M., Maniero Rodrigues, M., O. Clarkson, M., Kang, J., Furey, V., A.C. Manning, D., and Larkin, C.: An assessment of the agronomic benefits of silicate rock powders in Brazil in the context of a novel classification, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9606, https://doi.org/10.5194/egusphere-egu26-9606, 2026.

EGU26-10074 | ECS | Posters on site | SSS5.6

Greenlandic rock flour: a unique material for Europe’s agricultural transition 

David Oldcorn and Clive Eley

Harnessing the prodigious power of the Greenlandic ice sheet, glacial rock flour (GRF) is a naturally occurring ultra-fine material with a median grain size <5μm, produced by subglacial abrasion of underlying bedrock. At least 3Gt of this mineralogically uniform resource lie around Greenland’s coasts, lending it massive potential as a scalable climate solution for European agriculture. Although unreactive in Arctic conditions due to temperature and seawater chemistry, GRF’s unique particle size enables it to achieve fast weathering kinetics once transported and deployed to more temperate croplands, all without the need for energy-intensive processing. High potassium (K), moderate phosphorus (P) content and positive effects on nitrogen soil retention also place GRF as a promising low-input alternative to conventional fertilizers, easing farmer acceptance by creating a co-revenue stream to subsidise carbon dioxide removal (CDR) revenues.  To unlock this potential however requires validation along the entire supply chain of GRF, from collection in Greenland to field application. This presentation summarizes nearly two years of data on GRF’s dual CDR and agronomic impacts in a Danish context. Firstly, we provide strong evidence of negligible in-situ weathering in Greenland, and explore how operational decisions, guided by robust life cycle analysis (LCA), can ensure that GRF is net-negative when applied on fields. Further downstream, we synthesize lab results and initial field trials that capture yield productivity gains and nitrogen loss reductions—while addressing the challenges of detecting statistically robust enhanced weathering signals in temperate settings. We finally highlight how insights from farmers and related service providers can be mobilized to best integrate application of GRF and similar ERW feedstocks in practical agricultural routines.

How to cite: Oldcorn, D. and Eley, C.: Greenlandic rock flour: a unique material for Europe’s agricultural transition, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10074, https://doi.org/10.5194/egusphere-egu26-10074, 2026.

EGU26-11168 | Posters on site | SSS5.6

Quantitative and mechanistic assessment of carbon cycling of enhanced weathering and algal biochar in Mediterranean agroecosystems: An Ecotron study  

Kaiyu Lei, Damilola Olanipon, Damien Landais, Antonin Grau, Florence Meunier, Marie-Laure Tiouchichine, Joana Sauze, Clément Piel, Samuel Abiven, and Alexandru Milcu

Enhanced rock weathering (ERW) and algal biochar have emerged as promising carbon dioxide removal (CDR) strategies in the past decades, with ERW gaining substantial attention in recent years. However, significant knowledge gaps persist regarding the mechanisms and carbon flux pathways that determine effective CDR in terrestrial ecosystems.

To systematically trace carbon (C) fluxes and deepen the mechanistic understanding of organic-inorganic carbon (OC-IC) interactions in soils, we initiated a multi-year lysimeter experiment in very large model systems/macrocosms (5 m², 1.5 m depth) within an advanced controlled environment facility for ecosystem research (Ecotron). This setup enables quantification and verification of effective carbon sequestration by ERW and algal biochar in Mediterranean agroecosystems.

This controlled experimental framework enables continuous, high-frequency, and precise monitoring of C and nitrogen (N) fluxes comparable to natural agroecosystems, complemented by corresponding field reference sites (INRAE UE DiaScope) in Southern France. Integration of biogeochemical C and N cycling data allows assessment of ecosystem functions (e.g., microbial diversity and abundance, soil invertebrate fauna) critical for evaluating these CDR strategies prior to large-scale deployment. In addition, by coupling ecosystem-level C and N budgets with micro-scale analysis using soil fractionation and advanced spectrometry techniques, we expect to further disentangle potential mechanistic interactions between IC and OC in these Mediterranean alkaline soils.

This presentation will report preliminary results on ecosystem-scale C and N fluxes (e.g., CO2 and N2O emissions, soil physicochemical properties, and leachate at multiple depths), with implications for understanding the effectiveness and environmental impacts of ERW and algal biochar deployment in Mediterranean alkaline soils.

How to cite: Lei, K., Olanipon, D., Landais, D., Grau, A., Meunier, F., Tiouchichine, M.-L., Sauze, J., Piel, C., Abiven, S., and Milcu, A.: Quantitative and mechanistic assessment of carbon cycling of enhanced weathering and algal biochar in Mediterranean agroecosystems: An Ecotron study , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11168, https://doi.org/10.5194/egusphere-egu26-11168, 2026.

EGU26-11419 | ECS | Orals | SSS5.6

An Integrated Modelling Framework to Determine Terrestrial Carbon Dioxide Removal via Enhanced Rock Weathering 

Ziyan Zhang, Gregory Jones, Salvatore Calabrese, Matteo Bertagni, Simone Fatichi, Bonnie Waring, and Athanasios Paschalis

Enhanced rock weathering (ERW) is an emerging carbon dioxide removal (CDR) strategy that can support net-zero emission targets. However, current ERW modelling efforts rely on assumptions that introduce substantial variation in CDR estimates across varying ecosystems and hydroclimatic conditions. They typically ignore or oversimplify plant–soil interactions and high-frequency hydrological dynamics, obscuring short-term weathering responses and biotic feedbacks to soil moisture dynamics. Here, we introduce an integrated, process-based modelling framework, T&C-SMEW, which represents ecohydrological and ERW dynamics, along with microbially explicit biogeochemical processes. We compared framework simulations against a controlled mesocosm experiment and long-term field observations, demonstrating its ability to reproduce feedstock cation release, soil pH dynamics, gross primary production, and CO2 fluxes. T&C-SMEW reveals hydrological constraints and vegetation effects on ERW-mediated CDR by quantifying impacts on ecosystem respiration, net ecosystem exchange, and alkalinity export, emphasising the importance of ecohydrological modelling for ecosystem-level CDR estimation. These advances provide a modelling framework for identifying optimal deployment scenarios to establish ERW as a viable and operationally feasible CDR approach.

How to cite: Zhang, Z., Jones, G., Calabrese, S., Bertagni, M., Fatichi, S., Waring, B., and Paschalis, A.: An Integrated Modelling Framework to Determine Terrestrial Carbon Dioxide Removal via Enhanced Rock Weathering, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11419, https://doi.org/10.5194/egusphere-egu26-11419, 2026.

EGU26-12267 | Posters on site | SSS5.6

Direct In Situ Measurement of Alkalinity Export for Real-Time Enhanced Weathering MRV 

Pascal Michel, Jonte Boysen, and Andrew Muth

Accurate quantification of alkalinity export from the near-field zone remains a key bottleneck for monitoring, reporting, and verification (MRV) of carbon dioxide removal (CDR) through Enhanced Weathering (EW). Here we validate the Everest Pulsar, a field-deployable alkalinity sensor that accumulates total alkalinity (TA) using a weak acid ion-exchange resin and transduces resin saturation into a digital, in situ measurement. In a 7-day continuous-flow soil column experiment (10 no-soil, 5 soil units), the sensor quantitatively retained incoming alkalinity, with capture efficiencies of 98.9% (SD=0.3%) without soil and > 97.7% (SD=0.2%) with soil. Combined capture-and-recovery efficiencies were 98.8% (SD=4.1%) and at least 93.9% (SD=1.3%) for no-soil and soil units respectively. Effluent alkalinity remained well below 2% across all loading states, and mass-balance residuals averaged 0.1% (SD=4.3%) without soil and 4.0% (SD=1.3%) with soil. The digital readout closely matched chemically recovered TA with an average deviation of -0.3% (SD=6.0%). These results provide the first quantitative validation of an in situ sensor capable of measuring cumulative alkalinity export and demonstrate a practical path toward accurate, cost-effective, real-time MRV of EW carbon removal.

How to cite: Michel, P., Boysen, J., and Muth, A.: Direct In Situ Measurement of Alkalinity Export for Real-Time Enhanced Weathering MRV, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12267, https://doi.org/10.5194/egusphere-egu26-12267, 2026.

EGU26-12448 | Posters on site | SSS5.6

Analysis of enhanced weathering potential on European agricultural land 

Romain Thomas, Marta Tuninetti, and Matteo Bertagni

Enhanced weathering (EW), the application of fine silicate rock powder in croplands, has emerged as a promising nature-based strategy to remove atmospheric CO2. Nonetheless, further efforts are needed to provide reliable estimates of carbon removal and to identify key locations, while accounting for the diverse factors that influence the efficiency of enhanced weathering.

In this work, we assess which European farmlands are most suitable for carbon removal via EW by combining model simulations with spatially and temporally explicit geospatial datasets. The underlying EW model is the Soil Model for Enhanced Weathering (SMEW), a biogeochemical and ecohydrological model that simulates physicochemical processes in the upper soil layers. SMEW is combined with hydroclimatic and environmental parameters from ERA5, soil characteristics from the Harmonized World Soil Database v2.0 (HWSD v2.0), and an agro-hydrological model (WaterCROP) to account for specific crop characteristics and irrigation regimes. Simulations are then run at high time resolution over decades. The results reveal which European regions may serve as hotspots for carbon removal via EW, potentially guiding future mitigation efforts across Europe.

How to cite: Thomas, R., Tuninetti, M., and Bertagni, M.: Analysis of enhanced weathering potential on European agricultural land, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12448, https://doi.org/10.5194/egusphere-egu26-12448, 2026.

EGU26-12483 | ECS | Orals | SSS5.6

Effects of enhanced weathering on soil gas fluxes across UK land uses  

Kate Rees, Maria Val Martin, David Beerling, Aurelia Bezanger, Nicholas Cowan, Ruby Devlin, Mark Hanlon, Ben Langford, Sergiy Medinets, and Julia Drewer

Large-scale carbon dioxide removal (CO2) could be achieved through enhanced weathering (EW) deployment onto agricultural land and forests. Whilst the effects of EW treatment on soil and plant properties have been studied, impacts on soil gas fluxes remain poorly characterised. Soils both emit and uptake a wide range of gases, including greenhouse gases, such as nitrous oxide (N2O), methane (CH4) and CO2, as well as reactive trace gases, such as nitric oxides (NO and NO2), ammonia (NH3), hydrogen (H2) and volatile organic compounds (VOCs) which together influence climate and air quality either directly or indirectly through atmospheric reactions. EW can modify soil properties such as pH, organic carbon and structure, which can affect soil gas fluxes both directly, through physical and chemical processes, and indirectly via impacts on the soil microbiome. Therefore, characterising these responses is critical for determining potential co-benefits and trade-offs associated with large-scale EW deployment and informing monitoring, reporting and verification (MRV) frameworks.

In this laboratory study, fluxes of an extensive range of gases were measured from EW-treated soils collected from existing field trials across the UK on different land uses. Treated and control soils were sampled from arable land, grassland and newly planted mixed-broadleaf and monoculture-Sitka spruce forests. Soil fluxes of N2O, NO, NO2, NH3, carbon monoxide (CO), ozone (O3) and VOCs were measured online during controlled-temperature incubation experiments (5 to 25 °C with a step of 5 °C) using an advanced dynamic air-through chambers system equipped with high-resolution gas analysers and a proton-transfer-reaction mass spectrometer. CO2 and CH4 fluxes were measured online at room temperature using a separate gas analyser, whereas H2 fluxes were measured offline from chamber headspace samples using gas chromatography.

Overall, we found no consistent pattern of EW effects across gases and land uses. Greenhouse gas fluxes had a land-use dependence, with arable soil showing increased N2O uptake under EW treatment, CO2 emissions decreasing in both forest soils, and CH4 fluxes responding differently across sites, with increased emissions in arable soils but decreased emissions in grassland and increased uptake in broadleaf forest soils. Trace gases generally showed fewer and less systematic responses to EW, with no consistent patterns across land uses. These results suggest that land use and soil properties are important factors in determining soil gas responses to EW and highlight the need for land-use-specific monitoring strategies. Future in situ studies with in-depth soil characterisation will be essential to support robust MRV of EW and to assess potential co-benefits and risks of its large-scale implementation.

How to cite: Rees, K., Val Martin, M., Beerling, D., Bezanger, A., Cowan, N., Devlin, R., Hanlon, M., Langford, B., Medinets, S., and Drewer, J.: Effects of enhanced weathering on soil gas fluxes across UK land uses , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12483, https://doi.org/10.5194/egusphere-egu26-12483, 2026.

EGU26-13003 | ECS | Posters on site | SSS5.6

Using Self-Integrating Accumulators (SIAs) to Monitor Enhanced Rock Weathering (ERW) in German Agricultural Fields 

Tamara Michaelis, Derek Bell, Gabrielle Faria, Patrick Orenstein, Christian Bisping, Wolf-Anno Bischoff, Andreas Schwarz, Amy McBride, Mike Kelland, and Tony Oehm

The commercial scaling potential of enhanced rock weathering (ERW) as a carbon dioxide removal (CDR) strategy remains limited due to the need for reliable and cost-effective monitoring, reporting, and verification (MRV). Soil- and porewater-based MRV approaches present several challenges: soil-based mass balance methods require extensive measurements to account for loss pathways, increasing uncertainty, while water sampling relies on frequent and expensive analyses that require significant operational effort. To overcome these limitations, we evaluated the field performance of self-integrating accumulators (SIAs) – ion exchange resin-based passive samplers – as an ERW MRV tool that has the potential to increase accuracy while reducing analysis and operating costs.

For this field study SIAs were installed in summer 2024 across three agricultural fields in southern Germany and captured time-integrated fluxes of major cations (Ca²⁺, Mg²⁺, Na⁺, K⁺) and anions (NO₃⁻) over one year. In total, 216 SIAs were deployed below topsoil (20 cm on grassland and 30 cm on cropland). Each field was divided into untreated control and basanite-amended plots. SIAs were deployed in sets of 12 replicates per treatment and field for two installation methods and were paired with suction lysimeters. Annual SIA-derived ion fluxes were compared against soil and porewater datasets to assess consistency and performance.

This study represents the first field-scale evaluation of SIAs as an MRV approach for ERW. On well-drained cultivated land, SIA-derived ion fluxes corresponded closely with porewater-based measurements, demonstrating their potential as scalable, time-integrative, and cost-effective tools for quantifying both cation and anion fluxes. In contrast, SIAs installed in soils that remained waterlogged for extended periods consistently overestimated fluxes. The measurement principle of the SIAs assumes vertical drainage flux, but lateral flow is possible in waterlogged soils. Under continually saturated conditions, the resins’ high adsorption efficiency (>90%) could also induce concentration gradients that enhance ion transport toward the device.

These findings highlight the importance of careful site selection for ERW and the need to assess which MRV method is most appropriate for each project location. Nevertheless, broader adoption of SIA-based MRV could significantly accelerate ERW deployment by reducing logistical and analytical requirements, lowering operational costs, and increasing the likelihood of full credit issuance without losses due to insufficient aqueous-phase sampling. Additionally, SIAs have negligible impact on farming operations, making them well-suited for large-scale agricultural deployment.

How to cite: Michaelis, T., Bell, D., Faria, G., Orenstein, P., Bisping, C., Bischoff, W.-A., Schwarz, A., McBride, A., Kelland, M., and Oehm, T.: Using Self-Integrating Accumulators (SIAs) to Monitor Enhanced Rock Weathering (ERW) in German Agricultural Fields, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13003, https://doi.org/10.5194/egusphere-egu26-13003, 2026.

EGU26-13246 | ECS | Orals | SSS5.6

A large-scale enhanced weathering experiment to quantify soil percolation fluxes 

Fabiola Cannizzaro, Matteo Bernard Bertagni, Andrea Cagninei, Roberto Bosio, Adriano Fiorucci, and Fulvio Boano

Despite growing interest in enhanced weathering (EW)—the application of silicate rock powders to croplands—substantial uncertainty remains regarding its actual CO₂ removal potential. From a data perspective, small-scale laboratory experiments often indicate limited carbon uptake, but their representativeness of field conditions remains unclear. By contrast, field experiments yield highly variable results, but they face the challenge of quantifying percolation fluxes in open, heterogeneous, dynamic systems.

Here, we present a novel hybrid approach: a large-scale yet controlled laboratory experiment designed to quantify all soil percolation fluxes and EW-driven CO₂ removal. The experiment is conducted in an approximately 200 m² garden at the Politecnico di Torino (Italy), subdivided into three hydraulically isolated plots with different basalt applications: a control plot (no basalt), 3 kg m⁻², and 6 kg m⁻². Beneath the 50 cm soil profile, all percolating fluxes are collected, enabling direct measurement of drainage outflows and dissolved-ion fluxes. Combined with soil measurements, this setup can constrain the mass balance of the weathering products and their associated CO₂ removal potential.

Preliminary results from the first year of experiment show a small but statistically significant increase (≈ 50 µS/cm) in the electrical conductivity of percolating water in both high and intermediate application plots. This is accompanied by moderate increases in major cation and dissolved inorganic carbon concentrations. Changes in hydrological response and percolating dissolved nitrogen are also observed. Overall, this study aims to provide process-based evidence of EW performance at the plot scale, thereby improving the assessment and modelling of soil-based carbon dioxide removal strategies.

How to cite: Cannizzaro, F., Bertagni, M. B., Cagninei, A., Bosio, R., Fiorucci, A., and Boano, F.: A large-scale enhanced weathering experiment to quantify soil percolation fluxes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13246, https://doi.org/10.5194/egusphere-egu26-13246, 2026.

EGU26-14755 | ECS | Posters on site | SSS5.6

From source to sink: Quantification of Riverine and Marine Carbonate System Losses for Alkalinity-Based Carbon Dioxide Removal 

Xueya Lu, Jing He, Jennifer Yin, and Sophie Gill

The efficacy of Carbon Dioxide Removal (CDR) methods that enhance alkalinity in natural waters is dependent on the successful transport of that alkalinity through river networks to the ocean for long-term storage. However, as alkalinity-rich water traverses these flow channels, reduction of net carbon dioxide removal can occur through several natural processes such as: abiotic or biotic carbonate mineral precipitation, CO2 outgassing from re-speciation of the carbonate system, and suppression of natural alkalinity fluxes. Existing Measurement, Reporting, and Verification (MRV) protocols recognize these losses, but lack a  rigorous, standardized quantification framework across different CDR methods.

In this work, we present a unified framework for quantifying riverine and marine carbonate system losses across diverse CDR pathways, including enhanced weathering, river alkalinity enhancement (RAE), and ocean alkalinity enhancement (OAE). This framework includes applicability criteria for eligible rivers, such as the maximum transit time of the river reach and hydraulic residence time for surface-water storage. We introduce the use of a total retention factor, calculated as the product of specific retention factors from relevant riverine and marine loss processes.We outline guidance for evaluating relevance, risk and quantification for each loss term. For implementation, we provide a simple PHREEQC-based geochemical model to calculate losses from carbonate precipitation and DIC re-speciation.  We also discuss standardized requirements for alternative acceptable models. .

Using scalable and standardized loss quantification calculations, we provide a transparent methodology to ensure that alkalinity-based CDR projects yield accurate quantification of durable carbon storage. It gives project developers clear direction for accounting for complex biogeochemical interactions between terrestrial discharge and the marine environment. This framework also provides the academic community with a shared, reproducible foundation for cross-study comparison and targeted research prioritization.

How to cite: Lu, X., He, J., Yin, J., and Gill, S.: From source to sink: Quantification of Riverine and Marine Carbonate System Losses for Alkalinity-Based Carbon Dioxide Removal, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14755, https://doi.org/10.5194/egusphere-egu26-14755, 2026.

EGU26-15266 | Posters on site | SSS5.6

Assessing carbon dioxide removal across wollastonite application gradients in mesocosm enhanced rock weathering experiments 

Amanda Stubbs, Mike Kelland, Talal Albahri, Giulia Cazzagon, Millie Dobson, Matthew Healey, Kirstine Skov, Rosalie Tostevin, Will Turner, and XinRan Liu

Enhanced rock weathering (ERW) is a carbon dioxide removal (CDR) technology that accelerates natural silicate weathering through the application of crushed silicate rocks to soils, commonly in agricultural settings. Identifying optimal feedstock application rates is essential for balancing operational feasibility with the rock densities necessary for robust monitoring, reporting, and verification (MRV). We investigated these dynamics in a mesocosm-scale trial, quantifying the weathering efficiency of crushed wollastonite skarn applied to a circumneutral (pH 7.2) sandy UK agricultural soil across a doubling application gradient: 0 (control), 5, 10, 20, 40, and 80 t/ha. The soil was selected for its sandy texture and relatively low cation exchange capacity (CEC) to maximize the potential for cation leaching. To isolate the vertical reactive transport of weathering products and characterize the progression of the alkalinity front, feedstock was incorporated solely into the uppermost (0–5 cm) soil horizon.

Mesocosms (30 cm soil depth) were sown with perennial ryegrass (Lolium perenne), maintained under a diurnal climatic cycle (25/17 °C, 60/80% RH day/night), and irrigated twice daily for three months. Our results reveal a clear, non-linear dose-response relationship; while soil pH and exchangeable Ca2+ increased significantly with application rate, we observed diminishing returns with successive doublings, particularly above 20 t/ha. This suggests that at higher application densities, weathering efficiency may be constrained by self-inhibiting geochemical feedback, including the inhibitory effect of increasing pH on proton-promoted mineral dissolution or localized pore-water saturation during the trial.

High-resolution depth profiling demonstrated considerable vertical translocation of weathering products. Although the feedstock was applied only to the top 5 cm, pH and exchangeable Ca2+ peaked in the 5–10 cm layer (immediately below the mixed zone) suggesting a strong downward alkalinity flux. However, despite the soil’s low CEC, the soil matrix acted as an effective sink, retaining the majority of the Ca2+ weathering signal within the upper 15 cm and preventing a  breakthrough in leachate chemistry for any treatment. The absence of an aqueous signal was likely obscured by high leachate variability driven by heterogeneous plant uptake of water and nutrients.

We propose that cation exchange dynamics were largely governed by competitive adsorption and mineralogical signatures. The large influx of Ca2+ from feedstock mineral dissolution (e.g. calcite, wollastonite) displaced more mobile native cations, driving a dose-dependent depletion of exchangeable Mg2+ in the 0–15 cm root zone. Conversely, exchangeable Na+ increased strongly (across all depths) with application rate, suggesting that the dissolution of Na-bearing minerals (e.g. readily-soluble salts) from the skarn outweighed competitive displacement effects for this highly-mobile low-background cation. Exchangeable K+ exhibited localized depletion in the 5–15 cm horizons, possibly due to Ca2+ competition for exchange sites and increased biomass-driven nutrient demand.

These findings demonstrate that wollastonite applications can trigger a complex, non-linear reconfiguration of soil geochemistry and nutrient pools. The observed weathering signals provide essential empirical constraints for calibrating reactive transport models and refining CDR accounting frameworks for scalable ERW deployment.

How to cite: Stubbs, A., Kelland, M., Albahri, T., Cazzagon, G., Dobson, M., Healey, M., Skov, K., Tostevin, R., Turner, W., and Liu, X.: Assessing carbon dioxide removal across wollastonite application gradients in mesocosm enhanced rock weathering experiments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15266, https://doi.org/10.5194/egusphere-egu26-15266, 2026.

EGU26-15391 | ECS | Orals | SSS5.6

The impact of enhanced rock weathering on soil organic carbon 

Maria Rivera, Kostiantyn Viatkin, Emily Oldfield, and Johannes Lehmann

Terrestrial enhanced rock weathering (ERW) is a geoengineering technique that amends soils with crushed magnesium (Mg) and calcium (Ca) rich silicate rock to accelerate carbon dioxide removal (CDR) with the production of dissolved and solid carbonates. Although ERW is projected to store large amounts of inorganic carbon, up to 2 Pg carbon (C) per year (Beerling et al., 2020), significant uncertainty surrounds ERW research, with a critical question remaining as to how ERW affects soil organic carbon (SOC), the largest terrestrial C reservoir with 1550 Pg C globally. While increases to SOC after crushed rock additions could increase the carbon removal capacity of ERW, reductions in SOC could negate its benefits. Field-scale ERW studies examining SOC dynamics, remain few. Sokol et al. (2023), found that ERW can destabilize organic carbon, making a seemingly stable pool vulnerable to decomposition. Conversely, Xu et al. (2024) reported SOC increases four to eight times higher than soil inorganic carbon (SIC) growth in oxisols after CaSiO₃ amendments. These studies highlight that the effect of ERW on SOC is influenced by soil properties. I will address this gap in knowledge by gaining a comprehensive understanding of ERW’s impact on SIC and SOC pools across ten agriculturally relevant soils in the US with unique soil properties that have been previously taken from all major US ecosystems and climate zones (Davenport, 2024). My study involves a one year incubation assessment that leverages exploration of outcomes across a broad soil gradient under a controlled environment. My findings will elucidate what conditions (i.e., soil properties, climate) will lead to the greatest mitigation impact for targeting ERW deployments.

How to cite: Rivera, M., Viatkin, K., Oldfield, E., and Lehmann, J.: The impact of enhanced rock weathering on soil organic carbon, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15391, https://doi.org/10.5194/egusphere-egu26-15391, 2026.

EGU26-18060 | ECS | Posters on site | SSS5.6

Soil restoration via enhanced weathering: insights from a mesocosm experiment 

Sarah Janse, Harun Niron, and Sara Vicca

Soil degradation severely limits agricultural productivity, particularly in regions where farming is the primary source of livelihood. Enhanced weathering offers a promising and underexplored approach to restoring these degraded soils while improving their capacity to support plant growth. To evaluate this potential, we conducted a one-year mesocosm experiment in 2025 where we assessed the capacity of a newly engineered soil to support plant growth under controlled conditions. This newly engineered soil consisted of basalt combined with biochar and compost and was applied as a top layer onto a sandy soil mimicking degraded, nutrient-depleted soil. Alfalfa (Medicago sativa) successfully grew on this newly formed soil in contrast with the mesocosms where no new topsoil was added. Furthermore, the experiment investigated how key parameters, like silicate grain size (fine = 0.01-0.09mm, coarse = 1/3mm), mixing regime (mixed vs. layered) and application rate influenced plant performance. Plant performance was quantified through biomass harvests and analysis of macro- and micronutrient uptake, alongside heavy metal concentrations in plant tissue to ensure crop safety.

How to cite: Janse, S., Niron, H., and Vicca, S.: Soil restoration via enhanced weathering: insights from a mesocosm experiment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18060, https://doi.org/10.5194/egusphere-egu26-18060, 2026.

EGU26-18210 | ECS | Posters on site | SSS5.6

Towards Coupled Organic–Inorganic Modeling of Carbon Cycling In Enhanced Rock Weathering Soils 

Charline Vandenhove, Tom Cox, Arthur Vienne, Laura Steinwidder, Lucilla Boita, and Sara Vicca

Enhanced rock weathering (ERW) has emerged as a promising strategy to remove CO₂ from the atmosphere through the application of silicate rock dust to agricultural soils. To realize its full carbon sequestration potential, however, it is crucial to understand how mineral weathering interacts with soil organic carbon dynamics. Recent experimental work indicates that these interactions can substantially influence carbon cycling and cannot be neglected.

In this study, we couple the soil organic carbon model Millennial with the geochemical model PHREEQC, which is widely used in ERW research, to explicitly represent organic–inorganic interactions during weathering. We evaluate the integrated model against data from a mesocosm experiment and use this comparison to address three key questions: (i) which organic–inorganic interactions exert the strongest control on predicted carbon sequestration, (ii) which model components require further optimization to improve simulation accuracy, and (iii) which metrics are most informative for data-model integration in ERW experiments.

Our results highlight the importance of representing coupled organic and geochemical processes when quantifying carbon sequestration by enhanced weathering and provide guidance for both future model development and experimental design.

How to cite: Vandenhove, C., Cox, T., Vienne, A., Steinwidder, L., Boita, L., and Vicca, S.: Towards Coupled Organic–Inorganic Modeling of Carbon Cycling In Enhanced Rock Weathering Soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18210, https://doi.org/10.5194/egusphere-egu26-18210, 2026.

EGU26-18456 | ECS | Orals | SSS5.6

Does co-deployment of enhanced weathering and biochar affect soil organic matter stabilization? 

Jasper Roussard, Micaela Cosgrove, Bart Vandecasteele, and Sara Vicca

Terrestrial enhanced weathering (EW) involves the application of crushed silicate-rich rock on soil which can then sequester inorganic CO2 by forming bicarbonates and carbonates. However, more recently, the effects of EW on soil organic matter (SOM) cycling have been gaining increasingly more attention. An increase in soil pH and the release of nutrients from silicate minerals might activate microbes to decompose more SOM, thereby possibly offsetting CO2 removed via the inorganic pathway. On the other hand, EW might promote SOM stabilization mechanisms that could increase the lifetime of carbon bound in SOM and strongly boost CO2 removal by EW. There are two major pathways of SOM stabilization in soils. Firstly, EW can increase formation of mineral-associated organic matter (MAOM) by forming highly reactive secondary minerals such as (hydr)oxides and other clay-sized minerals that can chemically bind SOM. Secondly, the formation of stable aggregates can physically protect SOM from microbial decomposition. While these stabilization mechanisms could greatly elevate the potential of EW, they have received little attention compared to the inorganic CO2 removal pathway of EW. Studies that focused on SOM stabilization mechanisms by EW have been showing contrasting, possibly context-depending effects. Therefore, more experimental data is needed to unravel the complex network of interactions between EW and SOM stabilization.

Co-deployment of EW with biochar (biomass stabilized via pyrolysis) could promote the CO2 removal efficiency even further. To date, studies that combined EW with biochar application remain scarce, limiting our understanding on how the two technologies interact. Biochar application can stimulate, slow down or exhibit neutral effects on SOM decomposition. Given the potential for co-deployment of EW and biochar in agricultural soils, there is a need for understanding interactions between EW, biochar and SOM.

In a mesocosm experiment we mixed basalt and poplar wood biochar with a sandy loam soil in a full factorial design. We quantified SOM stabilized in aggregates and via mineral association after 9 and 21 months. Aggregates were separated by size via wet sieving and their carbon content was quantified via loss on ignition (4h at 550 °C). Subsequently, the smallest size fraction (<50 µm) was used to target different organo-mineral associations via sequential extractions to determine MAOM formation. Results will be shown at the conference.

How to cite: Roussard, J., Cosgrove, M., Vandecasteele, B., and Vicca, S.: Does co-deployment of enhanced weathering and biochar affect soil organic matter stabilization?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18456, https://doi.org/10.5194/egusphere-egu26-18456, 2026.

EGU26-18487 | ECS | Orals | SSS5.6

Accounting for uncertainty in carbon fluxes: Towards the integration of Bayesian approaches in enhanced weathering 

Laura Steinwidder, Kiona Ogle, Lucilla Boito, and Sara Vicca

Quantifying carbon dynamics during enhanced weathering has been challenging, given spatial and temporal soil heterogeneity, complex biogeochemical interactions, and limitations in measurement resolution. For example, intensive and repeated sampling campaigns over the duration of several years are required to detect changes in soil organic carbon (SOC) stocks given that a comparatively small shift needs to be detected in a large pool with high spatial heterogeneity. Thus, low signal-to-noise ratios often prevent the detection of shifts, as EW induced changes in SOC stocks are often below the natural variability of SOC. Given the high uncertainty associated with both, SOC sequestration estimates but also CO2 removal estimates, the integration of Bayesian approaches into modelling efforts could be particularly valuable. Bayesian modelling frameworks offer a powerful tool, explicitly integrating experimental observations with mechanistic understanding and prior knowledge, while quantifying uncertainty across all model components, thereby also accounting for soil heterogeneity.

In our presentation we will illustrate the advantages of Bayesian analyses via a model developed for soil CO₂ efflux partitioning (in rhizosphere respiration and SOM decomposition). Soil CO2 flux partitioning is an important tool to inform EW effects on organic C dynamics that requires a sequence of calculations and the combination of different data sources. Several sources of uncertainty arise which often remain unaccounted for in conventional partitioning approaches (e.g. the regression used during the determination of the isotopic signature of the soil CO2 efflux extrapolates far beyond measured data, isotopic fractionation due to physical and/or biological processes, CO2 originating from soil carbonates, CO2 removal due to enhanced weathering, etc.). A Bayesian model allows the integration of such diverse datasets with different structures flexibly while explicitly accounting for variability in the data and for sources of uncertainty. Given its probabilistic framework, outputs are expressed as probability distribution rather than point estimates, therefore yielding far more informative results.

Further developing this model, potential applications could include the joint assessment of organic C sequestration and inorganic CO2 removal. Thus, building on this example, we will discuss how Bayesian approaches could be further developed to support monitoring, reporting and verification (MRV) efforts for enhanced weathering.

How to cite: Steinwidder, L., Ogle, K., Boito, L., and Vicca, S.: Accounting for uncertainty in carbon fluxes: Towards the integration of Bayesian approaches in enhanced weathering, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18487, https://doi.org/10.5194/egusphere-egu26-18487, 2026.

EGU26-19336 | ECS | Orals | SSS5.6

Towards Sustainable Chocolate: Two Years of Enhanced Weathering in Tropical Cacao Agri-Ecosystems 

Isabella Steeley, André Sousa, Edson França, Lívia Freitas, David Martin, Vicky Cobbold, Noah Planavsky, Dimitar Epihov, and David Beerling

Theobroma cacao is a cash crop that is both economically important and environmentally intensive, presenting a major sustainability challenge. In Brazil, cacao production is largely carried out by smallholder farmers on highly weathered, nutrient-poor, acidic soils (Oxisols and Ultisols). These soils have low fertility due to acidic pH, phosphorus (P), and potassium (K) levels, but high aluminium (Al) content. Enhanced rock weathering (EW) could be a pathway to access carbon financing while potentially having a ‘liming’ effect, which increases nutrient availability by raising the soil pH. However, evidence-based empirical data demonstrating the utility of EW-cacao on carbon capture and the impact of rock-dust spreading on agronomic productivity and forest ecosystem health are currently lacking.

Here we report on a field trial spanning three years that has been designed to evaluate EW deployment on cacao under field conditions. Within Brazil, specifically Bahia, cacao is often grown in a multi-strata, forest-like environment, known locally as the ‘Cabruca’ system. This system has cultural and environmental significance, often cited for its preservation of endemic trees (Cassano et al., 2008). This field trial investigates EW on both traditional and commercial agroforestry systems to determine potential synergies and additive effects. Carbon removal rates (CDR), soil fertility and agronomic co-benefits have been assessed.

Here, we present the outcome of this trial after two years of EW (basalt) application and a parallel trial assessing the potential for a novel iron chelating biotechnology to accelerate EW and CDR rates in a field setting after 9 months. We show that carbon removal can be monitored through the magnetic extraction of weathered basalt grains and their subsequent analysis. We also discuss the implications of using an iron chelator to disrupt the rock surface passivating layer for cation loss, particularly calcium. In addition, we report on important agronomic indicators, including tree height, canopy size, pest and disease incidence rate, litterfall rates and yield after two years of basalt application.

How to cite: Steeley, I., Sousa, A., França, E., Freitas, L., Martin, D., Cobbold, V., Planavsky, N., Epihov, D., and Beerling, D.: Towards Sustainable Chocolate: Two Years of Enhanced Weathering in Tropical Cacao Agri-Ecosystems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19336, https://doi.org/10.5194/egusphere-egu26-19336, 2026.

EGU26-19725 | ECS | Orals | SSS5.6

Potential of combining biochar and enhanced weathering and impacts on soil organic carbon and biomass: PyMiCCS project results 

Tobias Linke, Thorben Amann, Maria Ansari, Joscha N. Becker, Christian Beer, Franziska Busch, Annette Eschenbach, Nikolas Hagemann, Susanne Hamburger, Claudia Kammann, Kristine Karstens, Mikita Maslouski, Johannes Meyer zu Drewer, Alexander Popp, Philipp Porada, Hans-Peter Schmidt, Maria-Elena Vorrath, Isabelle Weindl, and Jens Hartmann

Pyrogenic carbon capture and storage, enhanced weathering (EW), soil organic carbon (SOC) enhancement and biomass carbon capture are terrestrial carbon dioxide removal (CDR) methods that could be implemented on a short timescale. To maximize the CDR potential per area, these methods could be co-deployed and provide complementary co-benefits. This requires a substantial understanding of the ongoing reactions and interactions in the system at different scales, backed up by field data and dynamic models to estimate applicability and scalability of the method combination. Biochar and weathering of silicate rock powder have the potential to provide besides CDR also nutrients, change soil properties and affect plant growth, directly impacting soil organic carbon storage and biomass carbon capture. Nevertheless, the interactions between the amendments and their combined effects in the soil system are sparsely researched.

PyMiCCS as part of CDRterra addresses these knowledge gaps and  estimates the potential of the proposed combination of the different methods. The co-application of various biochars with rock powder as well as the co-pyrolysis of both amendments was realized and products characterized. The co-pyrolysis of biochar and rock powder can modify biochar properties, such as weight, porosity, nutrient content and stability. Furthermore, the application of materials to different soil types with and without crops was tested at various spatio-temporal scales. Biochar additions improved water circulation in clayey soils, while rock powders released nutrients. Furthermore, amendments increased SOC contents, with differences between combinations and single applications. While soil nutrient levels were elevated, no significant plant growth increases were observed in comparison to single applications. In the long-term, simulations for temperate climate and sandy soil suggest that the solo-biochar applications can increase non-biochar SOC by up to 300 kg ha-1 yr-1 per ton biochar and result in net ecosystem carbon uptake over 1000 years. Complementing experimental results and process-based modeling, an integrated economic assessment was conducted using a global land-use modelling framework. The analysis shows that the environmental and mitigation outcomes of biochar-based CDR depend on interactions between costs, agronomic yield responses, biochar persistence, application rates, and assumptions about carbon pricing or crediting. 

Overall, the results demonstrate that co-application of biochar and enhanced weathering can enhance soil carbon storage and nutrient dynamics, but side-specific assessments are needed, and amendments do not necessarily translate into increased crop yields. Our results highlight the substantial CDR potential and the importance of tailored evaluations, management strategies, and policy frameworks for their scalable and effective implementation.

How to cite: Linke, T., Amann, T., Ansari, M., Becker, J. N., Beer, C., Busch, F., Eschenbach, A., Hagemann, N., Hamburger, S., Kammann, C., Karstens, K., Maslouski, M., Meyer zu Drewer, J., Popp, A., Porada, P., Schmidt, H.-P., Vorrath, M.-E., Weindl, I., and Hartmann, J.: Potential of combining biochar and enhanced weathering and impacts on soil organic carbon and biomass: PyMiCCS project results, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19725, https://doi.org/10.5194/egusphere-egu26-19725, 2026.

EGU26-20855 | ECS | Posters on site | SSS5.6

Agronomic co-benefits of enhanced rock weathering in smallholder farming systems of central India 

Sanchit Kumar, Tanishq Thorat, Abhishek Sharma, and Madhur Jain

Enhanced rock weathering (ERW) using silicate rock amendments represents a promising carbon dioxide removal (CDR) strategy, yet its viability in smallholder agriculture hinges on demonstrable agronomic co-benefits. Here we report findings from a farmer-participatory field trial conducted across smallholder cropping systems in central India, designed to quantify productivity responses and changes in input requirements following basalt application.

Basalt rock powder (particle size <2 mm) was applied at a mean application rate of 25 metric tons ha⁻¹. The study included 42 smallholder farmers  managing over 200 ha of agricultural land. All plots were monitored over a full annual cycle encompassing multiple cropping seasons (Kharif and Rabi). Yield, fertiliser application rates, crop health indicators, irrigation frequency, and farmer-reported observations were recorded. Treatment effects were assessed as within-plot changes relative to farmers' baseline practices from the previous year under identical crop rotations.

Basalt-amended farms showed significantly higher crop yield relative to baseline and compared to controls (mean difference: 9%, p < 0.05). Yield gains exceeding 5% were observed in 70% of the treatment plots, with 45% showing increases > 10%. Fertiliser application rates showed a decreasing trend in 82% of basalt-treated plots, with 60% reporting reductions of ≥10%; absolute fertiliser inputs were lower in treatment plots compared to control plots. Improved crop health was reported by 63% of participating farmers, while 29% noted reduced irrigation requirements. Farmer acceptance was high, with 60.5% indicating willingness to recommend ERW adoption within their communities.

These field-scale observations suggest that ERW deployment in smallholder systems can yield agronomic benefits, alongside carbon sequestration, potentially facilitating adoption through reduced input costs and enhanced productivity, rather than relying solely on carbon finance.

Keywords: Enhanced Rock Weathering, Carbon dioxide removal, Smallholder agriculture, agronomic co-benefits.  

How to cite: Kumar, S., Thorat, T., Sharma, A., and Jain, M.: Agronomic co-benefits of enhanced rock weathering in smallholder farming systems of central India, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20855, https://doi.org/10.5194/egusphere-egu26-20855, 2026.

EGU26-21374 | Posters on site | SSS5.6

Comparative Assessment of Regional Volcanic By-products and Olivine for Enhanced Weathering in Mediterranean Alkaline Soils 

Lorenzo Gianni, Diego Ciriminna, Alberto Pettignano, Dario Giambalvo, Salvatore Calabrese, and Leonardo Valerio Noto

Enhanced Weathering (EW) is gaining traction as a carbon dioxide removal (CDR)
technology, yet its viable large-scale deployment requires balancing carbon sequestration
efficiency with agronomic, environmental, and economic costs and benefits. In this
study, we present the setup and preliminary insights from a mesocosm experiment
carried out at the University of Palermo (Italy), designed to compare the performance of
regional volcanic by-products against a commercial olivine benchmark. We utilized 32
outdoor mesocosms (0.27 square meters each) arranged in a randomized block design,
applying silicate amendments at a rate of 50 t/ha.
The experiment compares three silicate materials with distinct physical and mineralogical
properties: (i) basaltic mine waste from local quarrying (Dv50 of 38.7 microns), (ii) volcanic
ash from Mt. Etna—a sandy, highly porous material rich in amorphous silica with a low bulk
density—and (iii) commercial olivine (Dv50 of 30.2 microns). These materials are applied to
both bare soil and soil vegetated with a mix of local forage legumes, allowing us to assess
the role of plant roots in driving the dynamics of weathering rates and the fate of weathering
products.
We quantify the CDR potential by monitoring alkalinity, Dissolved Inorganic Carbon (DIC),
and major cations (Mg2+, Ca2+, K+, Na+) in drainage waters. Crucially, we also analyze
the soil profile to monitor the precipitation of pedogenic carbonates and changes in
exchangeable major cation pools to assess the long-term effects of the silicate
amendments.
Simultaneously, we monitor the biomass growth to identify potential fertilization benefits.
We also assess the potential trade-offs of trace element release, specifically focusing on
the high Nickel (Ni) content inherent in olivine compared to the volcanic waste streams.
Data collected will be used to calibrate the Soil Model for Enhanced Weathering (SMEW),
bridging the gap between mesocosm-scale observations and numerical simulation to
refine dissolution factors for the seasonally dry, alkaline soil conditions typical of the
Mediterranean.
Using regional volcanic waste streams can provide a cost-effective and agronomically
viable alternative to commercial minerals, delivering competitive CDR rates while
supporting a circular economy and reducing the carbon footprint of mineral sourcing,
grinding, and transport.

How to cite: Gianni, L., Ciriminna, D., Pettignano, A., Giambalvo, D., Calabrese, S., and Noto, L. V.: Comparative Assessment of Regional Volcanic By-products and Olivine for Enhanced Weathering in Mediterranean Alkaline Soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21374, https://doi.org/10.5194/egusphere-egu26-21374, 2026.

EGU26-21447 | ECS | Orals | SSS5.6

Experimental insights into the role of running waters in Enhanced Rock Weathering 

Samuel Macaulay, Kieran Khamis, Lisa Mignanelli, and Emma Cavan

Rivers transport and transform products of chemical weathering, yet the processes governing carbonate precipitation, biotic transformation and fixation of enhanced rock weathering products remain poorly constrained. We conducted a controlled stream flume experiment manipulating simulated basalt-amended runoff across six ERW levels (0–100 t ha⁻¹) in groundwater- and river-fed systems to investigate calcite saturation state (Ω)  dynamics and ecosystem responses to alkalinity enhancement. Water chemistry and ecosystem responses were monitored for four weeks following alkalinity addition. Across all treatments and water types, flumes were generally calcite-supersaturated (Ω > 1), indicating baseline conditions favourable for carbonate precipitation. ERW treatments substantially increased supersaturation, and high temperatures combined with low flows led to Ω frequently exceeding 10 (a proposed precipitation threshold) and reaching > 50 under high-input scenarios. Relationships between Ca, CO₃²⁻ and Ω differed between groundwater- and river-fed systems, indicating that ERW effects on saturation state were mediated not only by cation supply but also by buffering capacity and carbonate speciation. Effects on benthic communities were weak, with invertebrate richness, abundance, and biomass being largely unaffected, though community composition contracted at the highest ERW level. Microbial respiration and primary production were generally only higher in groundwater-fed systems, while leaf litter and cellulose degradation were unchanged. Overall, these results indicate minimal ecological risk and demonstrate that thermokinetic conditions in small streams can support highly supersaturated calcite states during warm, low-flow periods without immediate carbonate precipitation. However, elevated supersaturation states may reduce carbonate solubility and increase the potential for secondary precipitation under changing hydrological or thermal conditions, representing a potential constraint on ERW-derived alkalinity transport efficiency within river networks.

How to cite: Macaulay, S., Khamis, K., Mignanelli, L., and Cavan, E.: Experimental insights into the role of running waters in Enhanced Rock Weathering, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21447, https://doi.org/10.5194/egusphere-egu26-21447, 2026.

EGU26-21820 | Posters on site | SSS5.6

Insights from a Two-Year Field Trial of Enhanced Weathering with basalt on alpine grassland: Soil, Water, and Biomass Responses 

Thomas Rinder, Erich Inselsbacher, Franziska Schrempf, Martina Schink, and Andreas Bohner

Enhanced weathering is under active consideration as a permanent carbon dioxide removal pathway, but its agronomic and biogeochemical outcomes remain insufficiently constrained under field conditions. We report a two-year field trial with four treatments: (i) basalt, (ii) control, (iii) manure, and (iv) basalt + manure, conducted on grassland in the Austrian Alps.

Soil water was sampled continuously at 40 cm depth using suction plates to capture high‑resolution dynamics in pH, alkalinity, and dissolved ion composition. Soil measurements were conducted at the start and end of the experiment. Nutritional quality of forage was analyzed after each cut. The aim of the experiment was to quantify CO2 drawdown from weathering and potential agronomic benefits in the context of typical regional farming practice.

Basalt addition did not lead to a detectable increase in alkalinity in soil water over the study period, highlighting the slow dissolution rates under temperate field conditions. However, basalt application resulted in a measurable increase in biomass production compared to the control, suggesting potential agronomic co-benefits.

We present further observed geochemical and biological responses and discuss implications for monitoring, verification, and the design of future trials.

How to cite: Rinder, T., Inselsbacher, E., Schrempf, F., Schink, M., and Bohner, A.: Insights from a Two-Year Field Trial of Enhanced Weathering with basalt on alpine grassland: Soil, Water, and Biomass Responses, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21820, https://doi.org/10.5194/egusphere-egu26-21820, 2026.

EGU26-22127 | Orals | SSS5.6

Inorganic-Organic Carbon coupling in models for enhanced weathering. 

Tom Cox, Charline Vandenhove, Arthur Vienne, Ivan Janssens, and Sara Vicc

Although enhanced weathering is a promising CDR technology, experimental evidence from the past years have tempered expectations and call for caution. These experiments show two major things: first the impact on soil organic matter (SOM) can be large and, particularly in the short term, can lead to enhanced carbon dioxide emissions rather than the hoped for carbon dioxide removal. Second, very limited (or no) leaching of alkalinity to deeper ground water is observed, and instead the cations released from weathering end up locally in different soil pools.

 

Advancing our understanding of this inorganic-organic (IC-OC) coupling requires the development of numerical models that couple inorganic and organic carbon cycles. Here we present the implementation of several established SOM models in the geochemical software platform PhreeqC. This well established platform has a strong track record in simulating soil water chemistry and allows for a flexible selection of a broad range of geochemical processes. We show how different models and different ways of coupling affect simulated behavior of CO2 exchange with the atmosphere and alkalinity fluxes towards ground-water, how they compare to observed data from selected experiments and elaborate on the challenges involved.

How to cite: Cox, T., Vandenhove, C., Vienne, A., Janssens, I., and Vicc, S.: Inorganic-Organic Carbon coupling in models for enhanced weathering., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22127, https://doi.org/10.5194/egusphere-egu26-22127, 2026.

EGU26-168 | ECS | Orals | SSS5.7

From time capsule to carbon source: Paleosol exposure as a missingcomponent in soil-climate feedbacks 

Teneille Nel, Manisha Dolui, Abbygail R. McMurtry, Stephanie Chacon, Laura M. Phillips, Joseph A. Mason, Erika Marin-Spiotta, Marie-Anne de Graaff, Karis McFarlane, Malak Tfaily, Kimber Moreland, Teamrat A. Ghezzehei, and Asmeret A. Berhe

Buried soils (paleosols) represent vast but under-characterized reservoirs of long-term soil organic carbon (SOC) that can persist for millennia when isolated from surface processes (Marin-Spiotta et al., 2014; Berhe et al., 2018). Their stability depends on geomorphic protection and mineral–organic interactions that constrain microbial decomposition (Kleber et al., 2007; Kögel-Knabner et al., 2022), but this protection may be compromised when erosion, hydrologic variability, or land-use change reconnect buried carbon to the atmosphere (Doetterl et al., 2016; Berhe et al., 2012).

Using the late Pleistocene Brady paleosol in Nebraska (USA) as a model system, we combined geochemical, isotopic, and incubation approaches to examine mechanisms controlling SOC persistence and reactivation across burial and erosional settings. Radiocarbon and spectroscopic data show that millennia-old SOC is stabilized by fine-textured minerals and polyvalent cation bridging (Ca²⁺, Mg²⁺), which promote aggregation and organo-mineral bonding. Burial enhanced these stabilization mechanisms, whereas erosional exposure induced geochemical convergence toward modern surface soils and faster SOC turnover.

Incubation experiments further revealed that drying–rewetting cycles accelerate decomposition and destabilize even the slow-cycling pool, while continuously moist, deeply buried horizons retained low decomposition rates and greater mineral-associated carbon fractions. These results demonstrate that SOC persistence is jointly controlled by geomorphic position, ionic environment, and moisture regime, linking ancient pedogenesis with modern disturbance.

Because loess–paleosol sequences also occur throughout Central and Eastern Europe, these findings provide a valuable framework for assessing the vulnerability of deep-soil carbon pools to future climate and land-use change. Integrating paleosol processes into soil–climate models will improve predictions of carbon feedbacks and inform management of legacy carbon reservoirs.

How to cite: Nel, T., Dolui, M., McMurtry, A. R., Chacon, S., Phillips, L. M., Mason, J. A., Marin-Spiotta, E., de Graaff, M.-A., McFarlane, K., Tfaily, M., Moreland, K., Ghezzehei, T. A., and Berhe, A. A.: From time capsule to carbon source: Paleosol exposure as a missingcomponent in soil-climate feedbacks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-168, https://doi.org/10.5194/egusphere-egu26-168, 2026.

EGU26-1627 | ECS | Orals | SSS5.7

Soil organic matter and mineral surface interactions are governed by the anchoring pathway 

Marcus Schiedung, Mike Rowley, Luis Carlos Colocho Hurtarte, Yahan Hu, Igor Beinik, Carmen Hoeschen, Neha Begill, Christopher Poeplau, and Steffen A. Schweizer

Soil organic carbon (SOC) is the largest terrestrial carbon reservoir and acknowledged to play an important role in climate mitigation. It has been advocated to store additional SOC in stable forms to provide efficient climate change mitigation. For this, mineral associated organic matter (MAOM) is considered to be relatively stable and has longer residence times than faster cycling particulate organic matter. However, we require a better mechanistic understanding of microscale interactions and the controlling factors of MAOM formation. Here we used arable soils across Germany representing three texture classes (sandy, loamy and clayey), two levels of SOC contents (low and high; 7-73 mg OC g-1 soil) and consequently a range of SOC loading in the MAOM fraction (2-122 mg OC g-1 fraction). The soils were incubated for two years after an addition of highly 13C labelled (8 atom%) barley-litter and fractionated by particle size to extract the MAOM (<20 µm). We applied mid-infrared spectroscopy and synchrotron-based scanning transmission X-ray microscopy coupled with near-edge X-ray absorption focusing on C K-edge spectra (STXM C NEXAFS) to investigate MAOM composition. Following the STXM C NEXAFS analysis, we conducted nano-scale secondary ion mass spectrometry imaging (NanoSIMS) to separate the labelled new from native organic matter. Organic matter composition derived from mid-infrared spectroscopy of the bulk MAOM fraction aligned well with the total STXM C NEXAFS spectra obtained for the different soils. Overall, the composition of the MAOM was controlled by SOC loading rather than texture with more processed and oxidized organic matter in soils with low organic carbon contents. On the microscale, organic matter was patchy distributed and the majority of the mineral surfaces were free of organic matter. Newly formed 13C-enriched patches that formed directly on mineral surfaces were more oxidatively-transformed (carboxylic groups) compared to 13C co-located with existing organic matter (dominant aromatic moieties). These findings provide direct evidence that soil carbon storage is governed by distinct and preferential accrual pathways shaping local ‘anchoring’ types, and thus, surface attachment mediates the composition of newly incorporated MAOM.

How to cite: Schiedung, M., Rowley, M., Colocho Hurtarte, L. C., Hu, Y., Beinik, I., Hoeschen, C., Begill, N., Poeplau, C., and Schweizer, S. A.: Soil organic matter and mineral surface interactions are governed by the anchoring pathway, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1627, https://doi.org/10.5194/egusphere-egu26-1627, 2026.

EGU26-3072 | Posters on site | SSS5.7

Optimisation of Soil Respiration Measurement Using OxiTop®-IDS as a Tool for Assessing Microbial Activity and Organic Matter Dynamics in Soil 

Michal Kalina, Barbora Hlavackova, Marketa Svecova, and Miloslav Pekar

Soil respiration is a widely used indicator of microbial activity and soil organic matter dynamics, reflecting both intrinsic biochemical processes and external disturbances. This contribution presents an optimised approach for soil respiration measurement using the OxiTop®-IDS respirometric system (DIN ISO 16072), with emphasis on improving experimental sensitivity and reproducibility. Key incubation parameters, including soil moisture, temperature, sample mass, and incubation time, were systematically optimised under controlled laboratory conditions. The refined methodology was applied to soils from the Czech Republic and to soils collected in selected regions of Ukraine partially affected by armed conflict, enabling a comparative assessment of microbial activity across contrasting environmental conditions. The method was further tested by evaluating the effects of soil amendments, including biochar and hydrogel-based preparations containing soil bacteria, on respiration rates. Automated carbon dioxide monitoring allowed continuous quantification of microbial responses to organic matter inputs. Results demonstrate that both soil origin and amendment type significantly influence soil respiration, confirming the suitability of optimised respirometric techniques for assessing soil biochemical status and microbial functioning in non-disturbed as well as disturbed and degraded soils.

Acknowledgement

This work was supported by the NATO Science for Peace and Security Programme, project Nr. G6296. https://land-security.org/.

How to cite: Kalina, M., Hlavackova, B., Svecova, M., and Pekar, M.: Optimisation of Soil Respiration Measurement Using OxiTop®-IDS as a Tool for Assessing Microbial Activity and Organic Matter Dynamics in Soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3072, https://doi.org/10.5194/egusphere-egu26-3072, 2026.

EGU26-5186 | Posters on site | SSS5.7

Forest-to-plantation conversion reshapes C:N:P coupling across soil–microbe–enzyme systems 

Anna Gunina, Ying Wang, and Tao Sun

Forest conversion to plantations represents a major global land-use change with profound consequences for soil nutrient cycling and strongly impacts coupled carbon (C), nitrogen (N), and phosphorus (P) stoichiometry across ecosystem compartments. Building on stoichiometric homeostasis theory and ecosystem feedback concepts, we conducted a global meta-analysis of 126 studies to quantify how forest-to-plantation conversion alters C:N:P ratios in plant litter, soil pools, microbial biomass, and extracellular enzyme activities, and to identify the key drivers of these responses.

Overall, forest conversion to plantations was associated with declines in soil C and N contents, microbial biomass, enzyme activities, and soil C:P ratios, whereas microbial biomass C:P ratios increased. These contrasting responses indicate a decoupling of P from C and N cycling following conversion, reflecting enhanced P recycling and intensified P limitation for soil microorganisms. Soil and microbial C:N and N:P ratios had stabilizing feedbacks, showing limited directional change despite large shifts in pool sizes, whereas C:P ratios displayed intensifying feedbacks, particularly within microbial biomass and enzyme activities. These patterns suggested weak microbial stoichiometric homeostasis in response to changes in resource quality and availability within plantation systems. Plant functional traits strongly modulated stoichiometric outcomes. Narrow C:P and N:P ranges in coniferous species pointed to tighter nutrient regulation compared with broadleaf systems, and conversion effects differed markedly depending on plantation type. Litter quantity and quality emerged as key regulators of soil C and N pools, whereas soil P pools responded weakly to conversion, highlighting efficient internal P recycling. Microbial and enzymatic stoichiometric imbalances increased after conversion, indicating growing nutrient divergences between microbial demand and resource supply, except in coniferous-to-coniferous conversions, where some imbalances decreased. Random Forest analyses identified soil pH and climatic variables as dominant abiotic controls of soil stoichiometric responses, while leaf, root, and litter C:N:P ratios were the primary biotic drivers of microbial biomass and enzyme stoichiometry.

This meta-analysis provided the first global, cross-compartment synthesis of C:N:P stoichiometry responses to forest-to-plantation conversion. By linking biogeochemical shifts to microbial homeostasis and ecosystem feedback mechanisms, our findings revealed multidirectional and decoupled nutrient responses that challenge simplified assumptions of uniform nutrient limitation. These insights underscore the importance of species selection, residue management, and long-term monitoring to mitigate stoichiometric imbalances and sustain nutrient cycling in plantation ecosystems.

How to cite: Gunina, A., Wang, Y., and Sun, T.: Forest-to-plantation conversion reshapes C:N:P coupling across soil–microbe–enzyme systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5186, https://doi.org/10.5194/egusphere-egu26-5186, 2026.

The mountain soils of the Andes, especially in the Puna ecoregion (above 3500 m elevation), have been shown to maintain disproportional soil carbon stocks derived from an abundance of soil organic matter (SOM). However, the mechanisms governing the stabilization of SOM in this understudied tropical high-alpine region remain elusive; in particular with respect to the interplay with human land management in the area. Here we present the results of a study in the Miraflores area of the Peruvian Andes where soils are cultivated on terraces under a rotational system that has been in place for 9,000 years. This system alternates 2-4 years of cultivation with 9-11 years of regeneration, In our study, we quantified soil carbon stocks in several soil carbon fractions—total organic carbon, labile carbon, soluble organic carbon—as well as associated aluminium, iron and calcium pools. Moreover, we examined the molecular composition of SOM under different land-use types within the region.

The results show pronounced differences in carbon accumulation and decomposition between terraced soils (cropped, cropped but outside the rotation, regenerating and abandoned terraces) and non-terraced soils (grazing land, natural grassland and peatland). We found the rotational crop management to exert a more beneficial effect on SOM accumulation and composition than continuous agriculture without rotation. The preservation of organic was driven primarily by land-use practices, plant-derived litter inputs and microbial activity, while soil mineralogy appeared to play only a minor role in carbon stabilization in this landscape.

Overall, our findings underscore the importance of sustainable land management in high-altitude ecosystems for strengthening carbon sequestration and reducing the impacts of climate change, particularly in highly susceptible mountain regions.

How to cite: Jansen, B., Hansen, J., and Cammeraat, E.: The effects of traditional rotational terrace agriculture in the high Andes on the dynamics of their soil organic matter, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5698, https://doi.org/10.5194/egusphere-egu26-5698, 2026.

Clay minerals are widely recognized as key regulators of soil organic matter (SOM) stabilization, yet their interactions with litter quality, soil fauna, and plant roots remain insufficiently understood. We investigated carbon (C) storage and partitioning among particulate (POM) and mineral-associated organic matter (MAOM) in substrates dominated by kaolinite, illite, and montmorillonite using two controlled microcosm and pot experiments. In the first experiments litter of contrasting quality (oak vs. alder) was added to clay minerals with and without earthworms, in second mineral organic matter was delivered by growing  plants  (Festuca rubra and Lotus corniculatus), in the same clay minerals.

 Contrary to expectations based expectation that  surface area (SBET) would be major predictor of SOM storage, illite consistently supported high C storage, particularly through enhanced incorporation of POM, while montmorillonite promoted MAOM accumulation. Earthworms and easily decomposable litter increased total C storage by facilitating transfer of litter-derived POM into mineral soil. Pore size distribution emerged as a critical factor: illite contained a higher proportion of micrometer-sized pores conducive to POM occlusion, whereas montmorillonite was dominated by nanometer-scale pores favoring MAOM formation.

How to cite: Irshad, S. and Frouz, J.: Specific surface area of clays affects accumulation of mineral associated organic matter while larger pore volume is crucial for particulate organic matter accumulation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7476, https://doi.org/10.5194/egusphere-egu26-7476, 2026.

EGU26-7560 | ECS | Orals | SSS5.7

MAOM Formation: Abiotic Drivers of Soil Organic Nitrogen Adsorption to Soil Mineral Surfaces 

Alannah Vaughan, Megan Purchase, and Ryan Mushinski

Organic nitrogen (ON) represents the majority of nitrogen compounds found in soil systems, although often overlooked in favour of the minority of more bioaccessible inorganic nitrogen compounds. One of the main pools of soil ON is mineral-associated organic matter (MAOM), in these complexes organic compounds chemically and physically interact with soil mineral surfaces. Understanding ON cycling in soils is paramount to ensuring sustainable management of soil resources and predicting pollutant nitrogen outgassing.  A key aspect of this, is understanding ON vulnerability to microbial breakdown. Previous work has shown how organic matter in MAOM complexes can persist in soils for centuries, protected from microbial degradation. However, more recent research has highlighted that organic matter can be mobilised from soil mineral surfaces and become accessible to microbes once more. MAOM complexes therefore can represent a far more dynamic pool of nitrogen than previously thought and the drivers of their formation need more robust characterisation. Our research focused on abiotic soil properties as potential drivers of ON adsorption to soil mineral surfaces, as well as the influence of time and the identity (chemistry and size) of investigated nitrogen compounds. Soil mineralogy data, from XRF analysis, as well as soil texture and pH data were coupled with adsorption assays and mixed effects modelling. This revealed the dominant influence of adsorbate identity on total adsorption and rate of adsorption to soil mineral surfaces. The presence of aluminium and iron, both common in soils and reactive with organic matter, and soil pH also had significant influences on nitrogen compound adsorption. These findings add to the growing body of literature on the drivers of MAOM complex formation, support the use of newer adsorption potential proxies, and highlight the importance of considering organic matter identity when predicting nitrogen recalcitrance in soils.  

How to cite: Vaughan, A., Purchase, M., and Mushinski, R.: MAOM Formation: Abiotic Drivers of Soil Organic Nitrogen Adsorption to Soil Mineral Surfaces, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7560, https://doi.org/10.5194/egusphere-egu26-7560, 2026.

EGU26-8637 | ECS | Posters on site | SSS5.7

Tracing carbon stabilization pathways in soil incubation using isotopes, REOs, and phase-space modelling 

Jingjing Liu, Mark Farrell, Senani Karunaratne, Claire Wright, and Chiara Pasut

Mineral-associated organic carbon (MAOC) constitutes the largest and most persistent pool of soil organic carbon, yet the pathways through which new plant inputs are stabilised in MAOC remain actively debated. In particular, the relative contributions of microbial processing versus direct physical transfer from particulate organic carbon (POC) from the plant are still poorly constrained. Here, we combined rare earth oxide (REO) labelling, stable carbon isotopes (δ¹³C), and controlled soil incubations to trace carbon redistribution between POC and MAOC in two soils with contrasting carbon status. Reconstituted soils containing independently REO-labelled POC and MAOC were amended with sugarcane mulch that had undergone different water-processing treatments to systematically manipulate carbon solubility and microbial accessibility. Carbon dynamics were monitored over a 180-day incubation using physical fractionation, respiration measurements, isotopic mass balance, and REO recovery, and interpreted within a POC–MAOC phase-space framework to track the different pathways of carbon stabilization (Manzoni and Cotrufo, 2024). To better align this framework with the objectives of the present study, we adapted its application to explicitly resolve the fate of newly added plant-derived carbon. Rather than treating POC as a single composite pool, we quantified the incorporation of mulch-derived carbon separately within POC and MAOC using isotope-based partitioning. This integrated approach enables direct comparison of physical redistribution and microbial transformation pathways, providing new mechanistic constraints on MAOC formation under contrasting input bioavailability and soil conditions.

How to cite: Liu, J., Farrell, M., Karunaratne, S., Wright, C., and Pasut, C.: Tracing carbon stabilization pathways in soil incubation using isotopes, REOs, and phase-space modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8637, https://doi.org/10.5194/egusphere-egu26-8637, 2026.

EGU26-8914 | ECS | Posters on site | SSS5.7

Mineral removal and its influence on thermal step-ramping estimates of resistant organic carbon in fine soil fractions 

Claudia Damatirca, Ryan Farquharson, Christina Asanopoulos, Janine Mcgowan, Mark Farrell, Ben Macdonald, and Senani Karunaratne

There is a growing interest in characterising distinct forms of soil organic carbon (SOC) with contrasting turnover times. In Australia, a well-established approach combining physical size fractionation (coarse >50 µm and fine <50 µm) with chemical characterisation has been developed to quantify a resistant organic carbon (ROC) fraction, commonly referred to as ‘char-like’ carbon. This fraction is typically characterised by 13C nuclear magnetic resonance (NMR) spectroscopy. However, hydrofluoric acid (HF) pre-treatment is often needed to remove paramagnetic soil minerals that interfere with magnetic resonance measurements and to concentrate carbon sufficiently to generate a detectable 13C NMR signal. It is recognised that this pre-treatment, while necessary to enable NMR analysis, may affect SOC chemistry, generating artefacts. While the combined size-fractionation scheme followed by NMR analysis has evolved over nearly two decades, increasing attention is now being given to comparisons between ‘char-like’ carbon estimates derived from combining size fractionation with 13C NMR analysis and those obtained using thermal step-ramping methods. In this study, we hypothesised that removing mineral particles (clay + silt) from the fine fraction does not significantly affect estimates of ROC derived using stepwise thermal ramping, quantified between 400°C and 600°C. To this end, we analysed a total of 111 soil samples collected from diverse soil types across Australian agricultural production regions. Topsoil samples were collected at three depth intervals (0-10 cm, 10-20 cm, and 20-30 cm). Fine-fraction 13C NMR-based ROC estimates were directly compared with the thermal step-based ramping ROC estimates, analysed both before and after HF pre-treatment of the fine fraction. Key findings of this research will provide underpinning knowledge to assess whether the removal of the mineral phase by HF treatment affects estimates of the ROC fraction derived from stepwise thermal ramping. The results further enable evaluation of similarities and differences between ROC or ‘char-like’ carbon concentrations estimated using 13C NMR and thermal step-ramping methods for the fine fraction of soils, with important implications for method application and inter-model comparisons.

How to cite: Damatirca, C., Farquharson, R., Asanopoulos, C., Mcgowan, J., Farrell, M., Macdonald, B., and Karunaratne, S.: Mineral removal and its influence on thermal step-ramping estimates of resistant organic carbon in fine soil fractions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8914, https://doi.org/10.5194/egusphere-egu26-8914, 2026.

EGU26-9621 | ECS | Posters on site | SSS5.7

Root-derived carbon inputs dominate early soil recovery after grassing 

Aditi Roy, Karel Tajovský, Miloslav Devetter, Martin Libra, Václav Pižl, Jiri Tuma, Michala Tůmová, and Veronika Jílková

Grassing of arable land is a widely adopted restoration strategy to rebuild soil fertility and enhance soil organic carbon (SOC) stabilization, but the contribution of plant species richness during the initial phases of restoration remains unclear. In a four-year field experiment, we compared a species-poor clover–grass mixture and a species-rich regional mixture, using permanent grasslands as control, to assess changes in soil physical properties, soil biota, and SOC fractions. Root biomass in permanent grassland was initially 2241% higher than in both seed mixtures but rapidly converged, with differences declining to 101% after four years. Both seed mixtures significantly increased soil organic matter content and water-holding capacity while reducing bulk density, indicating rapid recovery of soil structure driven by grass-dominated root systems. Soil microbial activity, microbial biomass carbon, and nitrogen were initially 62%, 286%, and 304% higher in permanent grassland, respectively, but these differences diminished substantially over time, demonstrating rapid microbial recovery independent of species richness. SOC fractionation revealed comparable increases in particulate and mineral-associated organic matter under both mixtures, indicating that early SOC stabilization was primarily controlled by root-derived carbon inputs rather than plant diversity. Strong correlations among root biomass, microbial properties, and SOC fractions highlight the key role of root–microbe interactions in driving early SOC stabilization during grassland restoration. Overall, early soil recovery and SOC stabilization after grassing are driven primarily by continuous root-derived C inputs and biotic transformations, while higher plant diversity may enhance long-term soil multifunctionality and C persistence.

How to cite: Roy, A., Tajovský, K., Devetter, M., Libra, M., Pižl, V., Tuma, J., Tůmová, M., and Jílková, V.: Root-derived carbon inputs dominate early soil recovery after grassing, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9621, https://doi.org/10.5194/egusphere-egu26-9621, 2026.

EGU26-11600 | Orals | SSS5.7

Evaluating Soil Carbon Persistence Using Ramped Oxidation and Radiocarbon Analysis 

Philippa Ascough, Mark Garnett, Jens-Arne Subke, Lorna Street, François-Xavier Joly, Naima Harman, and Iain Murdoch

Understanding the persistence, stability and turnover time of soil organic carbon (SOC) is essential for predicting terrestrial carbon storage, ecosystem responses to climate change, and strategies to enhance sequestration. However, linking SOC stability to specific soil properties remains challenging, with global models often underestimating SOC residence times compared to empirical observations (e.g., Shi et al., 2020). Radiocarbon (14C) provides a powerful tool for addressing these gaps by adding a temporal dimension to SOC studies.

Conventional approaches typically use physical or chemical fractionation to create operational pools for 14C analysis (e.g., Haddix et al., 2020), such as mineral-associated organic matter (MAOM). While informative, these pools themselves represent mixtures of diverse chemical components. An emerging approach is that of thermal-based methods such as ramped oxidation (ROx). These offer an alternative by partitioning SOC according to activation energy (e.g., Hanke et al., 2023), providing valuable insights into mechanisms of SOC stabilization (Stoner et al., 2023).

We applied ROx combined with 14C analysis to samples from a study that examined how converting temperate grassland to coniferous forest influences below-ground carbon dynamics in Scotland (Joly et al., 2025). As part of this work, we also quantified pyrogenic carbon (PyC), a fire-derived SOC fraction known for its long environmental residence times, in bulk soils and sub-fractions to assess its contribution to SOC persistence. By comparing 14C signatures from conventional fractionation with those from thermal fractions, including PyC, we evaluate the added value of ROx in revealing SOC age structure and persistence. These insights advance understanding of SOC stabilization processes and inform predictions of land-use change impacts on soil carbon storage.

Acknowledgments

We acknowledge support from the UK Natural Environment Research Council (NERC) via the National Environmental Isotope Facility (NEIF) grant (NE/S011587/1) and the NERC project grant NE/P011098/1.

References

Haddix ML, Gregorich EG, Helgason BL, Janzen H, Ellert BH, Cotrufo MF. 2020. Geoderma, 363, 114160.

Hanke UM, Gagnon AR, Reddy CM, Lardie Gaylord MC, Cruz AJ, Galy V, Hansman RL, Kurz MD. 2023. . Radiocarbon 65(2): 389-409. 10.1017/RDC.2023.13

Joly F, Cotrufo MF, Garnett MH, Johnson D, Lavallee JM, Mueller CW, Perks MP & Subke J. 2025. . Journal of Environmental Management, 374, Art. No.: 124149.

Shi Z, Allison SD, He Y, Levine PA, Hoyt AM, Beem-Miller J, Zhu Q, Wieder WR, Trumbore S, Randerson JT. 2020. . Nature Geoscience 13, 555-9.

Stoner S, Trumbore SE, González-Pérez JA, Schrumpf M, Sierra CA, Hoyt AM, Chadwick O, Doetterl S. 2023. Philosophical Transactions of the Royal Society A 381(2261):20230139.

How to cite: Ascough, P., Garnett, M., Subke, J.-A., Street, L., Joly, F.-X., Harman, N., and Murdoch, I.: Evaluating Soil Carbon Persistence Using Ramped Oxidation and Radiocarbon Analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11600, https://doi.org/10.5194/egusphere-egu26-11600, 2026.

EGU26-11788 | ECS | Posters on site | SSS5.7

Short-term changes in plant dissolved organic carbon inputs are fundamental inmediating soil organic carbon dynamics 

Martin Libra, Veronika Jílková, Kateřina Čápová, Miloslav Devetter, Tomáš Hubáček, Kateřina Jandová, Jaroslav Kukla, and Josef Starý

Climate change and forest management are expected to alter plant carbon allocation and dissolved organic carbon (DOC) inputs to soils, with potentially strong but poorly constrained consequences for soil organic carbon (SOC) dynamics. While DOC inputs can stimulate microbial decomposition through priming effects, they may also contribute to SOC stabilization via microbial processing and mineral association. However, the relative roles of aboveground and belowground DOC inputs, their chemistry, and interactions with soil biotic communities across forest types and soil depths remain insufficiently understood.

Here, we investigated the effects of plant-derived DOC inputs on SOC dynamics using a field manipulation experiment that disentangled aboveground (leaf leachates) and belowground (root exudates) DOC inputs in broadleaf (European beech) and coniferous (Norway spruce) forest stands. We quantified short-term responses of SOC fractions—free particulate organic matter (fPOM), occluded particulate organic matter (oPOM), and mineral-associated organic matter (MAOM)—in mineral topsoil (0–10 cm) and subsoil (50–60 cm), and related these responses to DOC input chemistry as well as microbial and faunal properties.

Despite the relatively short experimental duration (two years), DOC inputs exerted pronounced effects on SOC fraction dynamics, with responses strongly dependent on organic matter fraction and soil depth. Both leaf leachates and root exudates induced SOC formation as well as loss, depending on the fraction considered. Regarding soil depth, SOC fractions in the subsoil were generally less responsive to DOC inputs than those in the topsoil, indicating greater short-term vulnerability of topsoil SOC to DOC-induced losses. In contrast, forest type had only minor influence on DOC-driven SOC dynamics, suggesting that DOC input chemistry and point of entry outweigh tree species identity as short-term controls of SOC dynamics.

Our results demonstrate that short-term SOC responses to DOC inputs are governed primarily by DOC input chemistry, organic matter fraction stability, and soil depth rather than forest type. Explicit consideration of above- and belowground DOC pathways and microbial mediators is therefore essential for predicting forest SOC responses to environmental change.

How to cite: Libra, M., Jílková, V., Čápová, K., Devetter, M., Hubáček, T., Jandová, K., Kukla, J., and Starý, J.: Short-term changes in plant dissolved organic carbon inputs are fundamental inmediating soil organic carbon dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11788, https://doi.org/10.5194/egusphere-egu26-11788, 2026.

EGU26-11869 | ECS | Posters on site | SSS5.7

Biochar suppresses subsoil carbon decomposition 

Yalan Chen, Ke Sun, and Ji Chen

Biochar is widely promoted as a climate-mitigation strategy, yet its effects on carbon persistence in subsoil remain poorly constrained. Here we show that long-term surface biochar application substantially increases soil organic carbon (SOC) storage in subsoil by suppressing SOC decomposition. In a 14-year field experiment with compound-specific δ13C and Δ14C analyses, SOC increased by 40 ± 3.7 Mg C ha–1 across a one-meter profile, with 17% of this increase occurring below 20 cm. Biochar stabilized plant-derived carbon in topsoil via enhanced microbial transformation and mineral association, while the reduced vertical carbon transport constrained carbon supply to subsoil, suppressing native SOC decomposition and extending its radiocarbon age by 690 ± 57 years. These patterns were confirmed by five additional biochar experiments and a global meta-analysis, indicating broad applicability. Globally, this mechanism could offset 2.2–6.9% of annual agricultural greenhouse-gas emissions, highlighting subsoil as a resilient, underappreciated carbon sink under long-term biochar management.

How to cite: Chen, Y., Sun, K., and Chen, J.: Biochar suppresses subsoil carbon decomposition, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11869, https://doi.org/10.5194/egusphere-egu26-11869, 2026.

EGU26-11958 | ECS | Posters on site | SSS5.7

Carbon stability of cropland soils in Czechia 

Anna Margoldová, Jan Skála, Daniel Žížala, Tomáš Chuman, Olga Vindušková, and Jan Frouz

The capacity and long-term stability of soil organic carbon (SOC) are governed by its composition. SOC is commonly conceptualized as two major pools: particulate organic carbon (POC) and mineral-associated organic carbon (MAOC). While POC represents a labile fraction that responds rapidly to management and environmental change, MAOC is stabilized through physical and chemical associations with soil minerals, resulting in substantially longer turnover times.

Although the concept of carbon saturation has been widely discussed, empirical information on the spatial distribution of POC and MAOC contrasting pedo-climatic conditions remains limited, particularly at regional scales. As a result, the extent to which agricultural soils are able to further accumulate SOC under different environmental settings is still poorly constrained.

In this study, we investigate the distribution of POC and MAOC in cropland soils across Czechia by combining physical size fractionation method with digital soil mapping. Soil samples from a nationwide sampling network are separated to quantify POC and MAOC stocks down to 0.6 m soil depth. These data will be integrated with spatially explicit, high-resolution environmental covariates, including climate variables, soil properties, and terrain attributes, to model the distribution of carbon fractions across 25 major pedo-climatic zones.

These results will provide insights into the current carbon saturation of cropland soils under different pedo-climatic conditions. This further allow identification of regions with a high potential for additional carbon sequestration, as well as areas where SOC stocks may already be constrained by mineralogical or climatic limitations. The expected outcomes will contribute to a process-based understanding of SOC stabilization at the landscape scale and provide a basis for region-specific soil carbon management and climate-mitigation strategies.

How to cite: Margoldová, A., Skála, J., Žížala, D., Chuman, T., Vindušková, O., and Frouz, J.: Carbon stability of cropland soils in Czechia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11958, https://doi.org/10.5194/egusphere-egu26-11958, 2026.

EGU26-12285 | ECS | Posters on site | SSS5.7

Bridging Rock-Eval® thermal signature and Van Soest chemical composition of litters 

Joséphine Hazera, François Baudin, Frédéric Delarue, Tiphaine Chevallier, Pierre Barre, and David Sebag

Assessing the chemical composition of soil organic matter (OM) inputs is essential to understand and simulate soil OM decomposition dynamics and thus better evaluate the soil contribution to the global C balance. The Van Soest (VS) chemical extraction distinguishes four fractions of the OM namely “soluble”, “hemicellulose-”, “cellulose-” and “lignin-”like compounds. However, this procedure is time-consuming, costly, and requires acids, solvents and detergents. The Rock-Eval® (RE) thermal analysis consists of pyrolysis of the sample followed by oxidation of the residue. Since the 2000s, it has been increasingly used in soil science to quantify soil organic carbon (SOC) via the TOC parameter and to characterize SOC thermal stability, a proxy of biological stability, through various indices. Although several studies have investigated the relationship between SOC thermal stability and the chemical composition of soil OM, it has to be consolidated in order to identify and quantify the main components of OM, especially for OM of litters. In this study, we further explored this relationship by comparing the chemical composition (VS fractions) and the RE-derived parameters determined on various agricultural and forestry litters. The RE signals obtained before (bulk sample) and after the VS extraction (lignin-like compound residue) were compared. The effect of the VS extraction was reflected on the RE signals of the lignin-like compound residue. The thermolabile compounds emitted during the pyrolysis were lost and the CO and CO2 signals obtained during the oxidation resembled those of pure lignin. Correlation matrix between the RE parameters and the VS fractions were performed. The cellulose and hemicellulose proportions were positively correlated to the hydrocarbon compounds (HC) emitted below 340 °C (named A1, Spearman coefficient = 0.75, p-value < 0.05) and the CO2 emitted during pyrolysis (named S3CO2, Spearman coefficient = 0.76, p-value < 0.05), respectively. These results confirmed the previous assumptions that the A1 proportion and the S3CO2 signal are tightly related to the amount of carbohydrates in OM. The lignin proportion was positively correlated to the temperature at which 50 % of the total HC signal is emitted (Spearman coefficient = 0.75, p-value < 0.05). Additional insights about these relationships will be provided by Fourier-Transform Infra-Red spectroscopy (FTIR). A multivariate modelling approach will be developed to explore the predictive performance of RE data for estimating the chemical composition of OM assessed with VS fractions and with FTIR.

How to cite: Hazera, J., Baudin, F., Delarue, F., Chevallier, T., Barre, P., and Sebag, D.: Bridging Rock-Eval® thermal signature and Van Soest chemical composition of litters, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12285, https://doi.org/10.5194/egusphere-egu26-12285, 2026.

EGU26-12784 | ECS | Orals | SSS5.7

Reconciliation of Process-Based Models and Observations: Collaborative Pathways to Improve Soil Carbon Predictions Across Sub-Saharan Africa 

Sophie F. von Fromm, Katherine S. Rocci, Christopher O. Anuo, Stephen B. Asabere, Jeanette Kanyiri, Steve Kwatcho Kengdo, Admore Mureva, Kwabena A. Nketia, Lei Zhang, and Rose Z. Abramoff

Process-based soil carbon (C) models are increasingly used to project regional and global C cycle responses to climate change. However, the development and evaluation of these models has largely focused on temperate regions of North America and Europe. This geographic bias raises a critical question: Do these models capture generalizable mechanisms that can be applied to underrepresented pedological regions, or do they encode processes specific to their developmental context? Through collaboration between modelers and experimentalists, we evaluated three process-based models—Century, Millennial, and MIMICS—across 777 topsoil samples spanning the climate and pedological diversity of sub-Saharan Africa. Despite their differences in mechanistic detail, all three models performed similarly (adjusted R² = 0.09–0.18) in predicting soil organic carbon (SOC) stocks. Using random forest algorithms trained on observed and modeled SOC data, we identified divergences between drivers of SOC. All three models overemphasized net primary productivity as a SOC driver and misrepresented the role of organo-mineral interactions. Bias analyses revealed that the three process-based models inadequately capture exchangeable calcium, which is increasingly recognized as an important control on SOC. Notably, increased mechanistic complexity did not improve transferability. Our results have significant implications for regional C budgets and global climate projections. They underscore the need for tighter feedback between modelers and experimentalists to incorporate region-specific biogeochemistry—particularly organo-mineral interactions and calcium dynamics—into future soil C models in (sub-)tropical regions. We propose that targeted experimental work on these mechanisms, coupled with model re-parameterization, offers a path toward more reliable climate projections.

How to cite: von Fromm, S. F., Rocci, K. S., Anuo, C. O., Asabere, S. B., Kanyiri, J., Kengdo, S. K., Mureva, A., Nketia, K. A., Zhang, L., and Abramoff, R. Z.: Reconciliation of Process-Based Models and Observations: Collaborative Pathways to Improve Soil Carbon Predictions Across Sub-Saharan Africa, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12784, https://doi.org/10.5194/egusphere-egu26-12784, 2026.

EGU26-13706 | Orals | SSS5.7

Soil type matters: forest succession and soil organic matter stability in the Gorce Mountains (S Poland) 

Łukasz Musielok, Sascha Nijdam, Magdalena Gus-Stolarczyk, Patrycja Kramarczuk, Karen Vancampenhout, and Bart Muys

Soil organic matter (SOM) stocks in mountain ecosystems play a crucial role in carbon and nutrient cycling, thereby mitigating climate change and providing many important ecosystem services. However, their response to rapid forest succession resulting from the combined effects of land abandonment and global warming, which is particularly pronounced in mountain areas, remains strongly context-dependent. The influence of soil-forming processes, represented by soil types, is still insufficiently understood. This study investigates how SOM stocks and their stability change along forest succession in the Gorce Mountains in southern Poland, with a specific focus on the role of soil type.

We analyzed soils across different forest succession stages, ranging from grasslands through shrubs and young successional forests to permanent old-growth forests, and across different soil types (Cambisols, Gleysols, and Podzols). We assessed SOM stocks in the O horizons and in the 0–5 cm (topsoil) and 20–30 cm (subsoil) mineral soil layers. In addition, we performed soil density fractionation of the mineral topsoil and subsoil layers into free light fraction, occluded light fraction, and heavy fraction, the relative proportions of which were used as indicator of SOM stability. Our results show that both SOM quantity and stability vary significantly along the forest succession gradient; however, these patterns are strongly modified by soil type. In some soil-contexts, the transition from grassland to forest led to increased SOM stocks but also to a greater vulnerability to SOM decomposition, whereas in other soil types, the highest SOM stocks and greatest stability occurred at an intermediate forest succession stage (tall-shrub communities).

These findings highlight that soil type is a key contextual factor controlling SOM storage in mountain ecosystems. Accounting for soil-specific responses is therefore essential for predicting SOM sequestration potential under ongoing environmental change.

This project has received funding from the Central European Leuven Strategic Alliance (grant CELSA/24/002) and has been supported by a grant from the Priority Research Area Antropocene under the Strategic Programme Excellence Initiative at Jagiellonian University.

How to cite: Musielok, Ł., Nijdam, S., Gus-Stolarczyk, M., Kramarczuk, P., Vancampenhout, K., and Muys, B.: Soil type matters: forest succession and soil organic matter stability in the Gorce Mountains (S Poland), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13706, https://doi.org/10.5194/egusphere-egu26-13706, 2026.

The large carbon storage in terrestrial soils underscores the need for mechanistic soil process representations in Earth System Models (ESMs) aimed at simulating carbon-climate feedbacks under changing climate and land use. However, ESMs participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) still exhibit large uncertainties in simulating historical and future soil carbon stocks, reflecting incomplete process understanding and discrepancies between model assumptions and emerging empirical knowledge. 

We present the recently developed NOAA/GFDL Global Integrated Microbial Interactions with Carbon in Soil (GIMICS) model, which integrates key advances in soil biogeochemistry and addresses limitations of the previous soil component, CORPSE, in GFDL ESM4.1. GIMICS has been incorporated into the CMIP7-class GFDL ESM4.5. GIMICS explicitly represents soil microbial dynamics and physicochemical stabilization mechanisms, as well as interactions among microbes, minerals, and vegetation, for both aboveground organic materials (leaf and coarse wood litter) and belowground, vertically resolved mineral soils (rhizosphere and bulk soil). GIMICS also accounts for the effects of spatially and vertically varying soil temperature and moisture on microbial processes and organic matter turnover, and represents redistribution and transport via bioturbation, diffusion, advection, and runoff to rivers. 

GIMICS has been integrated with the GFDL Land Model LM4.2, which includes dynamic vegetation and wildfire processes. The resulting LM4.2-GIMICS configuration is evaluated in a stand-alone mode against a widely used, observationally derived global soil inventory dataset (Harmonized World Soil Database, HWSD), reported global synthesis estimates, and other global model results. Results show improved simulations of global and regional soil carbon stocks relative to models that do not explicitly represent microbial processes and mineral-associated organic matter (MAOM) stabilization. Analyses of pool–specific carbon stocks and fluxes highlight the critical role of soil mineral–microbe–vegetation interactions in regulating terrestrial carbon persistence. 

How to cite: Lee, M., Shevliakova, E., and Malyshev, S.: Coupling vegetation dynamics, soil microbial processes, and physicochemical stabilization mechanisms within the new NOAA/GFDL Global Integrated Microbial Interactions with Carbon in Soil (GIMICS) model, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13714, https://doi.org/10.5194/egusphere-egu26-13714, 2026.

Mountain soils are important carbon reservoirs, yet the distribution and stability of soil organic carbon (SOC) in deep soil horizons remain poorly understood, particularly in temperate mid-elevation mountain regions. Although vegetation is recognized as a key control on the vertical distribution and stabilization of SOC, its influence on deep soil carbon pools remains largely unexplored. This study investigates the content, composition and stability of SOC in topsoil and deep soil horizons under different vegetation types in the Bieszczady Mountains (Eastern Carpathians, SE Poland).

The research was conducted under four contrasting vegetation types representing forest and non-forest ecosystems: Vaccinietum myrtilli, Calamagrostietum arundinaceae, Dentario glandulosae–Fagetum and Campanulo serratae-Agrostietum. For each vegetation type, representative soil profiles were excavated and sampled by genetic horizons from surface organic layers to deep mineral horizons. Basic soil properties, including pH, soil texture and mineral composition, were determined to characterize environmental controls on SOC stabilization.

Soil organic carbon and total nitrogen contents were measured using elemental analysis. The chemical composition of soil organic matter (SOM) was examined using Fourier-transform infrared (FTIR). To evaluate SOC stability, soil organic matter (SOM) was separated using a density-based physical fractionation method, which allows the isolation of labile particulate organic matter from mineral-associated, more stable carbon pools. Additionally, soil respiration measurements were used to assess microbial activity and potential SOC mineralization.

This approach helps to understand how different types of vegetation influence both the quantity and stability of SOC in topsoil and subsoil layers. The results can provide new insights into carbon sequestration mechanisms in temperate mountain ecosystems and hightlight the significant role of deep soil horizons in long-term carbon storage.

How to cite: Kramarczuk, P.: Content and stability of topsoil and deep soil organic carbon under different vegetation types in the Bieszczady Mountains (Eastern Carpathians, SE Poland), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13971, https://doi.org/10.5194/egusphere-egu26-13971, 2026.

EGU26-14121 | Orals | SSS5.7

Equifinality and overparameterisation undermine confidence in predictions by soil organic matter models 

Marijn Van de Broek, Sebastian Doetterl, and Johan Six

The simulation of soil organic matter (SOM) dynamics, including SOM persistence, is a vital component of broader models representing vegetation dynamics or the impact of environmental change on the biosphere and climate. One of the biggest challenges in the application of SOM models is that their complexity is often not supported by sufficient data for parameter optimization. Inevitably, this leads to the calibration of more parameters than can be reliably optimised with available data, resulting in equifinality. This is the phenomenon that multiple parameter sets generate behavioural models: similarly well-performing models that cannot be ruled out.

This study assessed how equifinality affects the variability of predictions made by behavioural SOM models. We used a mechanistic, microbially-driven soil organic carbon and nitrogen model and evaluated it against an artificial data set. After the models were successfully calibrated and run into steady state, carbon inputs were doubled to evaluate how models with different mathematical formulations and different amounts of data used to optimize parameters reacted to this external forcing.

The key results are summarised as follows. (1) The accurate simulation of total SOM in steady state is an insufficient criterion to evaluate model performance. (2) The amount of calibration data determines how many model parameters can be jointly optimised without their values compensating for each other (i.e., identifiable parameters). And (3) the type of calibration data is equally important, as it dictates which pools can have their size and turnover rate constrained. For example, the size of particulate organic matter (POM) and mineral-associated organic matter (MAOM) can only be accurately simulated when data on these pool sizes are available. Similarly, the turnover rate of MAOM can only be reliably simulated if Δ14C data for MAOM are present. Our results emphasise the necessity of optimising only identifiable model parameters to avoid hidden uncertainty in model predictions. Adopting this approach consistently represents an important step forward to increase confidence in predictions made by SOM models.

How to cite: Van de Broek, M., Doetterl, S., and Six, J.: Equifinality and overparameterisation undermine confidence in predictions by soil organic matter models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14121, https://doi.org/10.5194/egusphere-egu26-14121, 2026.

Soil organic matter persistence has been recognized as an ecosystem property emerging from environmental and biological controls rather than intrinsic molecular recalcitrance. Yet a theoretical framework operationalizing this insight into predictive equations remains elusive. Here we present a coupled transport-reaction model where persistence emerges from the dynamic interplay of water, heat, and oxygen transport with kinetically-controlled mineral associations. The framework explicitly couples: (1) environmental state variables (θ, T, O₂) that modulate all reaction rates, (2) transformation kinetics from particulate to dissolved to reactive intermediates, (3) two-stage mineral association with direction-dependent sorption and desorption rates (αs > αd) following Langmuir-Freundlich kinetics, and (4) diffusive and advective transport controlling substrate accessibility. Analytical steady-state solutions in dimensionless form reveal fundamental parameter groupings—including a combined affinity parameter β that governs saturation behavior.

The model predicts distinct persistence regimes: environmental (decomposition suppressed by moisture, temperature, or oxygen limitation), kinetic (asymmetric mineral association creates hysteresis and path-dependence), and transport-limited (micro-site isolation restricts accessibility). These regimes explain why particulate organic matter can persist for centuries under certain conditions while mineral-associated carbon exhibits dynamic exchange in others. The framework also resolves apparent contradictions between saturation theory and field observations—total soil carbon can increase linearly while mineral-associated efficiency declines. Validation against long-term field experiments demonstrates predictive capability across contrasting sites and input regimes. We show that persistence is not a property to be measured but an outcome to be predicted from coupled dynamics—providing a quantitative foundation for the paradigm shift from intrinsic to emergent controls on soil carbon.

How to cite: Ghezzehei, T. and Berhe, A. A.: Kinetic and Transport Controls on Soil Organic Matter Persistence: A Coupled Framework for an Emergent Ecosystem Property, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15388, https://doi.org/10.5194/egusphere-egu26-15388, 2026.

EGU26-16484 | ECS | Posters on site | SSS5.7

Redox-driven iron mechanisms regulating soil organic carbon stabilization in paddy soils under warming and altered flooding 

Beatrice Giannetta, Danilo Oliveira de Souza, and Claudio Zaccone

Paddy soils represent a globally significant agroecosystem, functioning both as the primary environment for irrigated rice (Oryza sativa L.) production and as extensive anthropogenic wetlands with a major role in soil organic carbon (SOC) sequestration. Under climate change, increasing temperatures and reduced water availability threaten soil health, carbon (C) stability, and the long-term resilience of these systems.

This study evaluates how anaerobic digestate application influences soil organic matter (SOM) dynamics in paddy soils under simulated climate stress. A factorial field experiment tested amendment application (digestate, DS; unamended control, UN), temperature (ambient, AM; warming, +2 °C, WR), and water regime (normal flooding, NF; reduced flooding, - 30%, RF). SOM was fractionated into particulate (POM) and mineral-associated organic matter (MAOM) pools, which were characterized using Fe K-edge XANES and k²-weighted EXAFS to resolve Fe speciation and coordination environments controlling C stabilization.

Across treatments, SOC declined under warming, with WR plots losing up to 15% more SOC than AM, while digestate under NF partially mitigated SOC losses and reduced C/N ratios, indicating enhanced microbial processing.

XANES revealed strong fraction- and management-dependent shifts in Fe speciation, showing that POM was enriched in redox-sensitive Fe phases and Fe-organic complexes that responded markedly to reduced flooding and warming, whereas MAOM was dominated by illite-associated Fe and Fe (III) oxyhydroxides. Complementarily, k²-weighted EXAFS resolved the short-range Fe coordination environment, indicating that POM contained mixed crystalline Fe (III) phases (hematite and lepidocrocite) embedded within a variable mineral matrix, while MAOM was systematically enriched in poorly ordered Fe (III) phases, including ferrihydrite-like and Fe (III)-organic associations, indicative of persistent mineral-protected C pools. Together, XANES and EXAFS demonstrate that climate stress primarily destabilizes SOC by disrupting redox-controlled Fe-organic associations in the labile POM fraction, whereas long-term carbon persistence under future warming scenarios depends on the maintenance of Fe (III) oxyhydroxide-mediated protection within MAOM, only weakly modulated by organic amendment and water regime.

How to cite: Giannetta, B., Oliveira de Souza, D., and Zaccone, C.: Redox-driven iron mechanisms regulating soil organic carbon stabilization in paddy soils under warming and altered flooding, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16484, https://doi.org/10.5194/egusphere-egu26-16484, 2026.

EGU26-16960 | Orals | SSS5.7

Long-term bare fallows reveal centennially stable soil carbon pools under contrasting fertiliser and amendment regimes 

Amicie Delahaie, Cédric Plessis, Cyril Girardin, and Claire Chenu

Long-term bare fallow (LTBF) field experiments provide a unique framework to investigate soil organic carbon (SOC) persistence in the absence of fresh organic inputs. The Versailles 42-plots LTBF, established in 1928, is the oldest continuously managed bare fallow worldwide. Initially designed to assess the effects of fertilisers and amendments on loess-derived Luvisols, it offers a rare opportunity to quantify and isolate a centennially stable SOC pool. In 2008, total SOC in the reference plots was shown to equate estimated centennially stable SOC pool (Barré et al. 2010).

Here, we used repeated soil sampling to assess (i) whether the SOC content have stabilised over time and (ii) how long-term fertilisation and amendment practices affect the size of this pool. Treatments included mineral N fertilisers (ammonium, nitrate), basic amendments (lime, basic slag), mineral amendments containing P or K, an organic fertiliser (horse manure), and no-input reference plots. Topsoil (0–25 cm) was sampled in all 42 plots in 2008, 2014, 2017, 2021, and 2025 complemented by archived samples from 1929, 1949 and 1962.

In all plots except those receiving annual manure inputs, SOC contents have stabilised over recent decades, with no significant variation between 2008 and 2025. These steady values show that a centennially stable SOC pool has been reached but with different pool sizes across treatments. SOC contents were higher in plots receiving mineral N fertilisers or basic amendments than in no-input controls, whereas plots amended with monovalent cations (e.g. Na⁺, K⁺) or phosphates exhibited lower SOC levels.

These patterns suggest that long-term soil chemical and physical conditions, shaped by fertilisation and amendment regimes, influenced stabilisation processes and ultimately, SOC persistence. We suggest that low pHs (<5) resulting from with mineral N fertilisation may favour SOC stabilisation, while enhanced physical protection is promoted in lime- and carbonate-amended plots. Conversely, poor soil structure in monovalent cations amended plots may explain less SOC persistence.

These results underscore the high scientific value of long-term experiments, which need to be maintained and valorised, for understanding SOC dynamics and stabilisation.

How to cite: Delahaie, A., Plessis, C., Girardin, C., and Chenu, C.: Long-term bare fallows reveal centennially stable soil carbon pools under contrasting fertiliser and amendment regimes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16960, https://doi.org/10.5194/egusphere-egu26-16960, 2026.

EGU26-17326 | Orals | SSS5.7

Controls on mineral-associated organic matter stability: Insights from DNA adsorption and degradation on goethite in the presence of phosphate and cations 

Anita J Brijit, Paul Klier, Veer Vikram Singh, Naresh Kumar, Richard Kimber, Philippe Berthelemy, Jerome Rose, and Stephan M Kraemer

Persistence of soil organic carbon (SOC) is largely controlled by interactions between organic matter and mineral surfaces, particularly iron oxides. These interactions are further influenced by the presence of competing species and various cations in soil systems. Despite their importance, the geochemical mechanisms by which competing species regulate organic matter and mineral interactions remain poorly understood, representing a critical knowledge gap in SOC stabilization processes. DNA is a ubiquitous biomolecule in soils and sediments. It is a key component of microbial necromass and extracellular polymeric substances. While DNA represents a small fraction of SOC, the mechanisms of DNA and mineral interaction can reveal broader principles applicable to other organic matter to elucidate mechanisms that contribute towards SOC formation and stabilization.

In this study, we used DNA of varying lengths representing organic matter fractions of different sizes, and phosphate as a model competing anion, to investigate the effects of phosphate on DNA adsorption to goethite. Batch adsorption experiments were complemented by enzymatic hydrolysis studies to assess the influence of phosphate and divalent cations (Ca²⁺ and Mg²⁺) on the degradation of DNA adsorbed on goethite. Our results show that DNA adsorption to goethite is strongly influenced by DNA length, phosphate concentration, and adsorption time. Phosphate significantly reduced DNA adsorption through competitive surface site occupation. Although the presence of Ca²⁺ and Mg²⁺ enhanced DNA adsorption under phosphate concentrations that were otherwise unfavorable for adsorption, this increased adsorption did not translate into protection against enzymatic hydrolysis.

These findings demonstrate that enhanced adsorption alone does not necessarily confer long-term protection of organic matter and highlight the complex roles of competing ions and cations in regulating mineral-associated SOC persistence. Our study provides mechanistic insights into how nutrient and cation availability may influence the stabilization and turnover of reactive, phosphorus-containing organic matter in soils.

 

How to cite: Brijit, A. J., Klier, P., Singh, V. V., Kumar, N., Kimber, R., Berthelemy, P., Rose, J., and Kraemer, S. M.: Controls on mineral-associated organic matter stability: Insights from DNA adsorption and degradation on goethite in the presence of phosphate and cations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17326, https://doi.org/10.5194/egusphere-egu26-17326, 2026.

EGU26-17618 | Posters on site | SSS5.7

Warming-Driven Biological Mechanisms Governing the Fate of Pyrogenic Organic Matter in Soil 

Yun Zhao, Thomas H. DeLuca, and Veronika Jílková

Pyrogenic organic matter (PyOM) significantly contributes to soil carbon (C) sequestration, yet its stability in terrestrial ecosystems is more dynamic and biologically responsive than previously assumed. A thorough understanding of mechanisms governing PyOM stability is critical, given increased wildfire occurrence and associated PyOM production in a warming climate and the potential feedbacks to the global C cycle. This review highlights how warming-driven changes in soil biological processes directly and indirectly influence PyOM persistence. Our synthesis reveals that long-term soil warming initiates a cascade of competing biological processes. For example, warming enhances microbial oxidative enzyme activity and stimulates co-metabolic breakdown of labile PyOM components, notably its dissolved fraction, via greater plant-derived labile C input. Conversely, soil warming promotes mechanisms of stabilization, as microbial surface oxidation strengthens organo-mineral bonds and increased bioturbation by soil fauna transports PyOM fragments into deeper, mineral-protected soil layers. These opposing processes operate simultaneously, resulting in a dynamic balance between decomposition and stabilization. This balance may be further modified by warming-associated changes in soil moisture, which can suppress both decomposition and stabilization processes. Critically, the prevailing outcome is dictated by the intrinsic heterogeneity of the PyOM in question.  Low-temperature PyOM is more vulnerable to enhanced decomposition, while high-temperature, lignin-rich PyOM is more resistant to decomposition and enters stabilization pathways. We conclude that the net persistence of PyOM in a warming climate depends on the dynamic balance between biological decomposition and physicochemical stabilization, controlled by interactions among PyOM properties, soil biota, and environmental drivers.

How to cite: Zhao, Y., DeLuca, T. H., and Jílková, V.: Warming-Driven Biological Mechanisms Governing the Fate of Pyrogenic Organic Matter in Soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17618, https://doi.org/10.5194/egusphere-egu26-17618, 2026.

EGU26-17787 | ECS | Posters on site | SSS5.7

Same Binding Agent with Different Stabilization Capacities Regulates Soil Organic Carbon Across pH Gradients in Tropical and Subtropical Soils 

Akari Tokunaga, Han Lyu, Mayuko Seki, Haruo Tanaka, Arief Hartono, Jagadeesan Muniandi, Kannan Pandian, Makoto Shibata, Tetsuhiro Watanabe, Shinya Funakawa, and Soh Sugihara

Management of soil organic carbon (SOC) has attracted attention because of its critical role in maintaining soil health and mitigating global climate change. In tropical and subtropical soils, where SOC decomposes quickly, long-term SOC accumulation depends on stabilizing organic carbon (OC) as mineral-associated organic carbon (MAOC). Previous studies suggest that binding agents of MAOC vary with soil pH: clay content and exchangeable Ca/Mg are key controls in alkaline soils, whereas active Al/Fe (hydr)oxides in acidic soils. Meanwhile, MAOC is regulated not only by the abundance of these binding agents but also by their OC-stabilization capacity, both of which are likely pH-dependent yet remain poorly quantified. Thus, this study aims to (1) clarify the controls (e.g., precipitation, net primary production (NPP), binding agents) on MAOC, (2) quantify OC-stabilization capacity of main binding agents, with the investigation of their OC-stabilization mechanism across soil pH gradients.

A total 72 soil samples spanning strongly acidic (pH ≤ 5.5), weakly acidic (5.5 < pH ≤ 7), and alkaline (pH > 7) conditions were collected from Indonesia (n=14), Japan (n=12), Cameroon (n=16), Tanzania (n=13), and India (n=17). MAOC was quantified using density and particle-size fractionation (density > 1.7 g cm⁻³, particle size < 53 μm). Correlation analyses and structural equation models (SEM) were used to identify the primary controls on MAOC contents, incorporating NPP, precipitation, soil pH, exchangeable Ca/Mg, clay content and active Al/Fe as candidate explanatory variables for each pH class. Based on the unstandardized SEM coefficients, the OC-stabilization capacity of main binding agents was quantified. To assess the OC-stabilization mechanism, necromass C and non-necromass C (i.e., MAOC − necromass) were quantified and investigated relationship with the binding agents using correlation/regression analyses.

MAOC contents were 78 % of total SOC across all samples, with alkaline soils showing lower MAOC and active Al/Fe than strongly acidic and weakly acidic (42 vs. 181 vs. 238 cmol kg⁻1, respectively) (4.6 vs. 9.2 vs. 17 cmol kg⁻1, respectively). Correlation and SEM analysis identified active Al/Fe content as the primary control of MAOC content rather than clay content and NPP, across all pH classes. Exchangeable Ca/Mg showed no significant contribution even in alkaline conditions. These results indicate that lower MAOC in alkaline soils is due to the lower active Al/Fe content. Furthermore, the SOC stabilization capacity of active Al/Fe was also 28% lower in alkaline soil than in weakly acidic and strongly acidic. In strongly and weakly acidic soils, active Al/Fe was positively correlated with both necromass and non-necromass C, whereas active Al/Fe was positively correlated with non-necromass C but showed no relationship with necromass C in alkaline soils. These results suggest that in alkaline soils, active Al/Fe stabilizes non-necromass C but not necromass C, causing the low OC-stabilization capacity. Thus, in tropical and subtropical regions, active Al/Fe are the primary control on MAOC binding in all pH class, and their low abundance and low OC-stabilization capacity in alkaline soils partly explain the low MAOC and SOC contents.

How to cite: Tokunaga, A., Lyu, H., Seki, M., Tanaka, H., Hartono, A., Muniandi, J., Pandian, K., Shibata, M., Watanabe, T., Funakawa, S., and Sugihara, S.: Same Binding Agent with Different Stabilization Capacities Regulates Soil Organic Carbon Across pH Gradients in Tropical and Subtropical Soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17787, https://doi.org/10.5194/egusphere-egu26-17787, 2026.

EGU26-17958 | Orals | SSS5.7

Management of marginal landscapes in the Mediterranean mountains: Driving soil regulatory functions towards Global Change adaptation. 

Melani Cortijos-López, Teodoro Lasanta, Javier Zabalza-Martínez, Miriam Muñoz-Rojas, Erik Cammeraat, Pedro Sánchez-Navarrete, and Estela Nadal-Romero

Mediterranean mountain regions provide essential ecosystem services and resources to surrounding urban areas. Since the mid-20th century, however, rural depopulation has led to widespread land abandonment, triggering natural revegetation and consequent shrub encroachment. These changes have been associated with increased wildfire risk, reduced agro-pastoral resources, and altered hydrological functioning. Soil, a non-renewable resource on human timescales, plays a key role in ecosystem resilience due to its influence on biogeochemical cycles and carbon accumulation, making it a potential tool in Climate Change adaptation strategies.

This study, grounded in the MANMOUNT project (PID2019-105983RB-I00) investigates post-abandonment land management strategies in marginal Mediterranean mountain areas, focusing on their effects on soil quality and soil organic carbon (SOC) storage. The Leza Valley (Iberian System, Spain) was selected as the study area due to its representativeness of the historical and ecological context of Mediterranean mountains. Three management strategies were evaluated: passive management through secondary succession; forest management through conifer afforestation and dehesa systems; and shrub clearing to establish pastures for extensive grazing. Analyses considered soil environment (acid or alkaline), soil depth (0–40 cm), time since management implementation, and the presence of active management practices (e.g., thinning, selective cutting).

A total of 453 soil composite samples were collected and analysed to assess physicochemical properties and SOC stocks. Carbon stabilization mechanisms were examined using aggregate stability tests and fractionation techniques. Future SOC dynamics were projected under different Climate Change scenarios using the CarboSOIL predictive model, while integrated soil–water balance was evaluated with the RHESSys model.

Results revealed significant effects of post-abandonment management on soil quality and SOC storage. All management strategies increased carbon stocks compared to the initial unmanaged shrubland. Forest systems accumulated higher total SOC, whereas pasture systems promoted greater mineral-associated carbon, indicating enhanced long-term stability. Soil environment was a major driver of SOC responses, with marked differences between acid and alkaline soils. Model projections highlight the importance of sustained active management to maintain soil functions in abandoned areas under future climatic conditions.

These findings provide valuable insights for land managers and policymakers, underlining the potential of post-abandonment management in marginal Mediterranean mountain landscapes as an important tool for Climate Change adaptation. The promotion of mosaic landscapes is proposed as an effective strategy to achieve both ecological resilience and socio-economic sustainability.

Acknowledgement: This research project was supported by the MANMOUNT (PID2019-105983RB-100/AEI/ 10.13039/501100011033) project funded by the MICINN-FEDER, and the SOLPYR (POCTEFA 2021-2027 (EFA045/01)) project funded by Interreg Poctefa and European Union.

Keywords: Mediterranean mountains; carbon sequestration; natural revegetation; extensive grazing; forest practices.

How to cite: Cortijos-López, M., Lasanta, T., Zabalza-Martínez, J., Muñoz-Rojas, M., Cammeraat, E., Sánchez-Navarrete, P., and Nadal-Romero, E.: Management of marginal landscapes in the Mediterranean mountains: Driving soil regulatory functions towards Global Change adaptation., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17958, https://doi.org/10.5194/egusphere-egu26-17958, 2026.

EGU26-18879 | Posters on site | SSS5.7

Restoration effects on forest soil carbon dynamics and overall soil health: a management perspective 

Karen Vancampenhout, Treza Cordaro, Bart Muys, and Ellen Desie
Forest soils and their carbon stocks are essential for ecosystem functioning, yet degradation from human and natural disturbances continues to compromise soil structure, nutrient cycling, biological activity, and ultimately carbon persistence. Forest restoration offers an opportunity to rebuild soil functions and protect carbon, but large-scale assessments of its effects on soil health in European forests remain limited, and the relationships between restoration and multiple soil properties are poorly understood. To address this gap, we conducted a topsoil sampling campaign across 11 European regions within the SUPERB restoration network (2022–2023), including stands classified by local experts as degraded, under restoration, and reference. We analyzed soil carbon alongside chemical, physical, and biological indicators. Our results reveal substantial variability across regions and stand types, with no consistent trends along restoration stages and potential trade-offs between carbon sequestration and other aspects of soil health. These findings highlight that restoration outcomes cannot be generalized and that effective strategies must account for local soil conditions, vegetation history, and management practices.

How to cite: Vancampenhout, K., Cordaro, T., Muys, B., and Desie, E.: Restoration effects on forest soil carbon dynamics and overall soil health: a management perspective, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18879, https://doi.org/10.5194/egusphere-egu26-18879, 2026.

EGU26-18950 | ECS | Orals | SSS5.7

Linking Root Traits and Soil Organic Matter Pools in a Grassland Diversity Experiment 

Alya Kingsland-Mengi, Elin de Boer, George Kowalchuk, Janna Barel, and Kathryn Barry

Plant roots contribute substantially to soil organic matter (SOM) formation via litter inputs, exudation, and stimulation of microbial activity. Increasing plant species richness has been proposed as a strategy to enhance soil organic carbon (SOC) storage by promoting greater variation in root functional traits and associated carbon (C) inputs. Root traits may influence C partitioning between particulate organic matter (POM) and mineral-associated organic matter (MAOM) pools. Specific root length (SRL) reflects a do-it-yourself resource acquisition strategy characterized by fine, short-lived roots that primarily contribute plant-derived inputs, whereas greater root diameter (RD) indicates increased investment in microbial symbionts that can enhance microbial processing and stabilization of C in mineral-associated pools.  

Here, we examined whether root morphological traits associated with the root economic space (RES) collaboration gradient provide a mechanistic link between plant roots and SOM partitioning, and the role of plant diversity therein. We hypothesized that root traits regulate SOC fractions, with SRL positively associated with POM, and RD associated with MAOM. We utilised the 1- and 12-species mixtures in BioCliVE, a large-scale grassland diversity experiment on sandy soil at Utrecht University (Netherlands). We measured community-level root traits for each plot, performed wet sieving to separate soils into particulate and mineral-associated fractions, and quantified C concentrations using elemental analysis to derive particulate organic carbon (POC) and mineral-associated organic carbon (MAOC).  

Initial analyses showed that RD had a marginal positive association with MAOC, supporting the conceptual expectation that root traits linked to microbial collaboration may influence MAOM formation. SRL, however, was not related to POC, contrary to our hypothesis. There was no detectable effect of plant species richness on C stored in either the particulate or mineral-associated pools. Our research demonstrates the complexity of SOM partitioning and suggests that trait-based and diversity-driven controls on SOM are limited or context-dependent in sandy grassland soils. By testing root trait pathways within a diversity experiment, our study contributes to ongoing discussions on the mechanisms governing SOM across ecosystems. 

How to cite: Kingsland-Mengi, A., de Boer, E., Kowalchuk, G., Barel, J., and Barry, K.: Linking Root Traits and Soil Organic Matter Pools in a Grassland Diversity Experiment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18950, https://doi.org/10.5194/egusphere-egu26-18950, 2026.

EGU26-19558 | ECS | Orals | SSS5.7

Depth-dependent temperature sensitivity of heterotrophic soil respiration under long-term tillage and reduced rainfall 

Najeeb Al-Amin Iddris, Antonios Apostolakis, Johanna Sarah Hanczaryk, Vilna Tyystjärvi, Heike Schimmel, Sara Bauke, and Ana Meijide

Although conservation tillage practices generally do not enhance soil organic carbon sequestration in temperate arable soils, they substantially modify the vertical distribution and composition of soil organic matter compared to conventional tillage. Yet, the implications of these tillage-induced alterations for soil organic matter stability remain poorly understood. Gaining a deeper understanding of soil organic matter stability is essential in the context of global warming and increasingly variable rainfall patterns.

Here, we investigated depth-dependent patterns of soil respiration and its temperature sensitivity under conventional tillage (CT) and reduced tillage (RT) as well as under current (100%) and reduced rainfall (50%) in a temperate cropland. Soils were sampled in January 2025 from a long-term tillage experiment established in 1970 in central Germany on a Haplic Luvisol under a humid temperate climate (mean annual air temperature 9.6 ± 0.7°C; mean annual precipitation ~610 ± 120 mm). The field trial follows a randomized block design with 16 plots, including eight managed under CT with mouldboard ploughing to 27–30 cm and eight under RT with rotary harrowing to 7–10 cm. Rainout shelters, designed to remove 50% of rainfall, were installed in 2022 in half of the plots. Soils for the incubation experiment were collected from four replicate plots per tillage  treatment and under 100% rainfall at four depths (i.e., 0–10, 10–20, 20–30, and 30–60 cm). Additional samples from rainfall-exclusion plots were collected in August 2025 and are currently being analysed.

Laboratory incubations were performed under controlled conditions using an automated Respicond system. Soils were sieved, adjusted to 60% water holding capacity, and incubated under stepwise temperature changes from 5 to 25°C, followed by a cooling phase back to 5°C, with temperature sensitivity analyses primarily based on the second incubation phase.

Preliminary results under normal rainfall conditions showed that respiration rates were highest in surface soils and declined with depth, while the deepest layer (i.e., 30–60 cm) showed comparatively low and less temperature-responsive respiration. Depth patterns differed between tillage systems: reduced tillage enhanced respiration in the topsoil, whereas conventional tillage showed higher respiration at intermediate depths (10–30 cm), reflecting contrasting vertical distributions of SOC and organic matter fractions. No significant tillage effects on respiration were observed below the plough layer.

Across both tillage practices, temperature sensitivity declined significantly with soil depth, indicating weaker relative temperature responses in subsoils. Mean temperature sensitivity values did not differ between CT and RT when averaged across depths. Normalisation to organic matter fractions showed lower temperature sensitivity of MAOM-associated respiration compared to POM-associated respiration, consistent with differences in substrate quality and energetic constraints on decomposition.

Overall, tillage primarily redistributed organic matter within the topsoil, while subsoil carbon exhibited lower temperature sensitivity, suggesting reduced responsiveness to short-term warming with important implications for modelling soil carbon–climate feedbacks. Ongoing analyses will assess how two years of reduced rainfall modify the vertical distribution and temperature sensitivity of soil organic matter.

How to cite: Iddris, N. A.-A., Apostolakis, A., Hanczaryk, J. S., Tyystjärvi, V., Schimmel, H., Bauke, S., and Meijide, A.: Depth-dependent temperature sensitivity of heterotrophic soil respiration under long-term tillage and reduced rainfall, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19558, https://doi.org/10.5194/egusphere-egu26-19558, 2026.

EGU26-20000 | ECS | Orals | SSS5.7

High organic matter accrual in black sand soils linked to microscale aliphatic hotspots 

Luis C. Colocho Hurtarte, Christophe Sandt, Carmen Höschen, Ingrid Kögel-Knabner, Emanuele Lugato, Livia Urbanski, and Steffen A. Schweizer

High organic carbon (OC) in agricultural sandy soils (>85% sand) is generally unexpected under prevailing paradigms of organic matter (OM) formation and stabilisation, which emphasise mineral protection. Nevertheless, so-called “black sand” soils are widespread in north-western Europe and store exceptionally large amounts of OC. Much of this OC resides in the finest soil fractions and is chemically enriched in alkyl C, likely reflecting historic heathland vegetation, but it remains unclear whether this enrichment is associated with minerals or occurs within largely organic microstructures. To address this, we combined particle-size fractionation, solid-state 13C nuclear magnetic resonance (NMR) spectroscopy, optical photothermal infrared (O-PTIR) microscopy, and nanoscale secondary ion mass spectrometry (NanoSIMS) to investigate OM organisation and composition at the microscale. Fine fractions stored a disproportionate amount of OC, showing pronounced alkyl enrichment and a decline in O/N-alkyl C. NanoSIMS revealed that OM occurred as finely divided domains rather than intact particles. OM-dominated areas expanded with increasing OC, and while some OM was associated with Al-rich domains, much showed no clear mineral association, indicating that OM accumulation is not solely driven by organo-mineral interactions. O-PTIR revealed alkyl-rich microdomains reflecting the chemical signature of historic vegetation. Aliphatic signals increased with OC content and OM coverage, indicating that SOC in black sand soils is stored as micrometre-scale, alkyl-rich micro-particulate OM. This challenges mineral-centric concepts of SOC stabilisation and highlights the importance of OM–OM interactions and land-use legacy in controlling carbon storage in sandy soils.

How to cite: Colocho Hurtarte, L. C., Sandt, C., Höschen, C., Kögel-Knabner, I., Lugato, E., Urbanski, L., and Schweizer, S. A.: High organic matter accrual in black sand soils linked to microscale aliphatic hotspots, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20000, https://doi.org/10.5194/egusphere-egu26-20000, 2026.

EGU26-20252 | ECS | Orals | SSS5.7

Peat Collapse as a new threat to fen hydrological stability: the case of Nature reserve De Zegge (Belgium) 

Keunbae Kim, Willem-Jan Emsens, Sam Ottoy, Judith Schellekens, Toon Deswert, Ellen Desie, Bart Muys, María J. I. Briones, Boris Jansen, and Karen Vancampenhout

Fen peatlands are essential ecosystems that support high biodiversity, buffer hydrological extremes such as droughts and flooding, sequester carbon (C), and contribute to human well-being. However, increasing climate anomalies and anthropogenic disturbances are accelerating peat degradation, potentially triggering abrupt shifts in peat integrity and function – with significant implications for the global C cycle. Our study investigated the rapid peat subsidence observed in Belgium’s oldest nature reserve ‘De Zegge’, which represents an unheard form of fen ecosystems deterioration, and an environmental alarm. Thus, this case study may provide insights for land managers and researchers working in similar peat systems worldwide. To determine how hydrological stress, coupled with chronic hydro-chemical pressures − may push the system beyond a critical threshold, and lead to peat collapse,  we: (1) estimated the loses in elevation and C stocks using field-based digital elevation models, (2) compared peat characteristics between collapsed, adjacent non-collapsed and distant non-collapsed areas, and (3) experimentally assessed the effects of potential collapse triggers,- hydrological alterations and hydro-chemical additions (control, ditchwater, and sulfate [SO­42-])- as on peat stability using a mesocosm experiment by measuring greenhouse gases (GHGs) emissions and porewater chemistry as indicators. Our findings demonstrate that fen peatland collapse led to significant lowering of the surface level (-12.8 ± 2.3 cm) accompanied by significant carbon losses (-21.6 ± 6.1 kg−C m-2), alongside structural and functional shifts across biological, vegetative, physiochemical, and molecular dimensions (P < 0.05). In the mesocosm experiment, hydrologically perturbed peat exhibited reduced stability compared to undisturbed monoliths, particularly in regulating GHGs fluxes. During the successional phase, SO­42- emerged as a key stressor, exerting pressure on system-wide stability. SO­42- intrusion indirectly increased N2O emissions during the re-saturation, with high spatial variability. Collectively, our study provides new insights into long-term pedological shifts affecting peat integrity and function in fen ecosystems.

How to cite: Kim, K., Emsens, W.-J., Ottoy, S., Schellekens, J., Deswert, T., Desie, E., Muys, B., J. I. Briones, M., Jansen, B., and Vancampenhout, K.: Peat Collapse as a new threat to fen hydrological stability: the case of Nature reserve De Zegge (Belgium), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20252, https://doi.org/10.5194/egusphere-egu26-20252, 2026.

EGU26-20841 | ECS | Posters on site | SSS5.7

Anaerobic digestation turns the tide: Does long-term digested slurry input boost SOM persistence in a Norwegian grass-clover ley? 

Jeroen H. T. Zethof, Johanna M. Zimmermann, Klaus Schützenmeister-Rex, Tatiana F. Rittl, and Hermann F. Jungkunst

Organically managed grass-clover leys are often claimed to improve soil quality and are considered as a cornerstone of sustainable agricultural practice. However, our earlier results from an organically managed farm in Tingvoll (NW Norway) demonstrated soil organic matter (SOM) content declined over  the 35 years following the adoption of organic management, in parallel with increase in temperature and decrease in phosphor availability. In 2011, a field experiment was established on part of the grass-clover ley to study the effects of anaerobic digestion of dairy cattle slurry, i.e. waste product of a biogas reactor, on crop yield and soil characteristics. Slurry application, both treated and untreated, was normalized on the nitrogen content. As part of the global C-arouNd consortium, which aims to investigate how short- and long-term agricultural management practices affect SOM persistence, we are investigating how the long-term slurry applications have affected that and other nutrients.

Since spring 2024, greenhouse gas emissions were recorded and plant material and soil were sampled. Preliminary results showed a higher SOM concentration with slurry application compared to the control, whereby anaerobic digested slurry let to significantly higher carbon and nitrogen contents in the soil than untreated slurry and unamended soil

More detailed analysis  of the soil, using an advanced density-thermal fractionation protocol, should give more insight into the long-term persistence of SOM. We expect that by first separating the Particulate from Mineral-Associated OM we will find a more thermally stable Mineral-Associated OM fraction under anaerobically digested slurry application, highlighting changes in SOM composition.

How to cite: Zethof, J. H. T., Zimmermann, J. M., Schützenmeister-Rex, K., Rittl, T. F., and Jungkunst, H. F.: Anaerobic digestation turns the tide: Does long-term digested slurry input boost SOM persistence in a Norwegian grass-clover ley?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20841, https://doi.org/10.5194/egusphere-egu26-20841, 2026.

EGU26-20930 | ECS | Orals | SSS5.7

Spatial pattern analysis of soil organic matter micropatches show distinct µm-sized C-rich and N-rich subunits 

Steffen A. Schweizer, Yahan Hu, Johann Maximilian Zollner, Thiago Inagaki, Carmen Höschen, and Martin Werner

Mineral-associated organic matter (OM) exhibits a heterogeneous arrangement in soils at the microscale and nanoscale as revealed by high-resolution imaging techniques. The arrangement of OM at the microscale has broad implications for biogeochemical cycles of major elements such as C and N by compartmentalizing their dynamics into distinct micropatches and a few µm-sized hotspots. It is crucial to understand the organization of this heterogeneous microscale arrangement across diverse soil systems. Here, we present a meta-analysis of spatial patterns of OM patches based on unsupervised segmentation of nanoscale secondary ion mass spectrometry (NanoSIMS) measurements. Using a dataset of over 450 measurements of fine fractions from soils with different texture and C content, we evaluated the spatial coverage, clustering, and heterogeneity of OM micropatches across mineral surfaces. The OM coverage across mineral surfaces linearly correlated with the bulk soil C content, indicating a spatially expanding arrangement of OM whereas large parts of mineral-dominated surface remain. Higher OM coverage was related to more connected and more clustered OM patches. Within the OM patches, we found evidence of recurring µm-sized distinct C-rich and N-rich subunits based on a fractal geography approach. Within more homogeneous OM patches, subunits showed stronger differentiation in C and N composition, whereas subunits within more heterogeneous patches exhibited less differentiated C and N composition.  The distinct spatial organization of OM micropatches observed here suggests a compartmentalized framework of OM dynamics with implications for C and N cycling in soils.

How to cite: Schweizer, S. A., Hu, Y., Zollner, J. M., Inagaki, T., Höschen, C., and Werner, M.: Spatial pattern analysis of soil organic matter micropatches show distinct µm-sized C-rich and N-rich subunits, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20930, https://doi.org/10.5194/egusphere-egu26-20930, 2026.

Forest soils play a key role in global carbon (C) storage. Important for long-term C storage in soil is the formation of mineral-associated organic matter (MAOM), which is protected through chemical bonds and occlusion from decomposition. Recent research demonstrated shifts in forest C cycles depending on tree diversity and mycorrhizal type, but we still lack mechanistic knowledge about the role of tree diversity and associated mycorrhizal symbiosis in soil C stabilization.

This study aims to quantify particulate organic matter (POM) and MAOM in relation to tree diversity and mycorrhizal type, i.e., ectomycorrhiza (ECM) and arbuscular mycorrhiza (AM) and to investigate the contributions of plant and microbial residues to POM and MAOM. It was conducted in the MyDiv tree experiment (Bad Lauchstädt, Germany), established in 2015 with 10 different deciduous tree species planted across a gradient of species richness. After density separation of POM and MAOM fractions, their mass, carbon and nitrogen (N) contents as well as 13C and 15N isotopic composition were determined. Soil samples were also taken from the grassland next to the site as background values. In addition, we measured 13C and 15N natural abundances of leaf litter, fine roots, saprotrophic and ectomycorrhizal sporocarps as well as ectomycorrhizal and soil hyphae.

There was no significant difference in the amount and C content of POM and MAOM between treatments. However, there was a tendency towards more POM (and POM-C) in diverse - especially ECM - systems. Compared to the grassland, C and N contents in POM were lower, which may result from reduced litter input after planting trees (soil was covered with a weed tarp until canopy closure). In line with this, POM of forest soil samples was enriched in 13C and 15N compared to grassland POM, suggesting a higher share of microbial residues in forest POM due to litter exclusion. Interestingly, also C content in MAOM declined due to litter exclusion, whereas 13C in MAOM seemed unaffected by the transition from grassland to forest.

The higher C/N ratio of POM compared to MAOM aligned with the expected greater contribution of plant residues to POM and microbial residues to MAOM. This is in accordance with a higher 13C-enrichment of MAOM compared to POM, especially in diverse systems and irrespective of the mycorrhizal type.

All in all, the analysis of natural stable isotope abundances is a powerful tool to elucidate the composition of POM and MAOM in temperate forests, which may change depending on forest age, mycorrhizal type and tree diversity.

How to cite: Marburger, C., Kochniss, L., Meier, I., Mohamed, A., and Pausch, J.: How tree species diversity and mycorrhizal association type influence contributions of plant and microbial residues to soil organic matter fractions in temperate forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21021, https://doi.org/10.5194/egusphere-egu26-21021, 2026.

EGU26-21126 | ECS | Orals | SSS5.7

Solid Phase Molecular Diversity Enhances Soil Organic Matter Persistence 

Zhen Yang and Tianran Sun

Molecular diversity has been proposed as a critical factor controlling soil organic matter (SOM) persistence. However, in contrast to dissolved organic matter, molecular diversity of solid phase organic matter remains largely unexplored. Here, we show the molecular diversity features of solid phase organic matter through a direct mass spectrometric scan of particulate and mineral associated organic matter (POM and MAOM) that show a strong relationship with carbon turnover rates, collected from a long-term grassland recovery experiment after 0, 23, and 43 years. We found that the highest molecular diversity (Hill Number = 1603±124) existed in SOM that had the slowest carbon turnover rate. Molecular diversity of MAOM exhibits greater correlation (R2 = 0.95, p < 0.001) with SOM persistence than that of POM. Molecular diversity became increasingly enriched from top to subsoil horizons (360% increase), consistent with a breaking down of large molecules into a range of low- to high-molecular-weight molecules. Soil depth and total iron content were main factors impacting the diversity change of POM and MAOM, highlighting the combined control of microbial decomposition and mineral interaction in shaping molecular features of solid phase organic matter. Together, these results suggest that molecular diversity may not operate as a limiting factor for carbon utilization by decomposers but as an ecosystem property that incorporates organo-mineral interactions.

How to cite: Yang, Z. and Sun, T.: Solid Phase Molecular Diversity Enhances Soil Organic Matter Persistence, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21126, https://doi.org/10.5194/egusphere-egu26-21126, 2026.

EGU26-21244 | ECS | Posters on site | SSS5.7

A Critical Length Threshold for Biopolymer Protection in Mineral-Associated Organic Matter 

Veer Vikram Singh, Naresh Kumar, Richard Kimber, Ron Pinhasi, and Stephan Kraemer

Biopolymers, including nucleic acids, proteins, and carbohydrates, constitute a substantial fraction of soil organic matter (SOM). The adsorption of these biopolymers to mineral surfaces is widely regarded as a key protection mechanism against environmental decay, particularly from ubiquitous microbial enzymes, thereby facilitating long-term persistence.1 While extensive research has examined how the chemical composition governs organic matter adsorption and stability, the role of molecular size, particularly biopolymer length, remains poorly understood.2

 Using DNA as a model biopolymer and minerals with diverse surface properties (goethite, ferrihydrite, kaolinite, montmorillonite, and hydroxyapatite), we investigated how polymer length affects both adsorption and protection against enzymatic decay. Results show that under competing conditions, shorter polymers exhibited preferential adsorption to all mineral surfaces. Furthermore, we examined enzymatic hydrolysis using DNase I as a model endonuclease. In solution, hydrolysis followed second-order kinetics with rate constants scaling linearly with the polymer length. Remarkably, while adsorbed DNA also showed length-dependent hydrolysis rates, hydrolysis ceased entirely for fragments below 50 base pairs—a threshold absent in solution.

This critical length threshold agrees very well with the median DNA polymer length observed across diverse environmental samples, providing experimental evidence for adsorption-driven enhanced protection of ultrashort biopolymers in soil and sediments.3,4 Our findings demonstrate that polymer length is a fundamental determinant of biopolymer persistence at mineral surfaces, with important implications for understanding MAOM stability. These results suggest that molecular properties, especially size and polymer length of organic matter, warrant greater consideration in SOM stabilization models and management strategies.

 

References

1. Kleber, M. et al. Dynamic interactions at the mineral–organic matter interface. Nat. Rev. Earth Environ. 2, 402–421 (2021).

2. Yu, W. H. et al. Adsorption of proteins and nucleic acids on clay minerals and their interactions: A review. Appl. Clay Sci. 80–81, 443–452 (2013).

3. Sawyer, S., Krause, J., Guschanski, K., Savolainen, V. & Pääbo, S. Temporal Patterns of Nucleotide Misincorporations and DNA Fragmentation in Ancient DNA. PLOS One 7, e34131 (2012).

4. Herzschuh, U. et al. Dynamic land-plant carbon sources in marine sediments inferred from ancient DNA. Commun. Earth Environ. 6, 78 (2025).

How to cite: Singh, V. V., Kumar, N., Kimber, R., Pinhasi, R., and Kraemer, S.: A Critical Length Threshold for Biopolymer Protection in Mineral-Associated Organic Matter, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21244, https://doi.org/10.5194/egusphere-egu26-21244, 2026.

EGU26-21829 | ECS | Posters on site | SSS5.7

Bayesian Calibration of a Dynamic Model with Sequential Rewetting Disturbances Incubation Data 

Julie Camolesi, Daniel Ruiz Potma Gonçalves, Luís G. Barioni, Nancy Lopes Garcia, and Victor Freguglia

Soil incubation experiments are widely used to investigate soil organic carbon (SOC) decomposition and persistence. However they frequently exhibit short-term respiration pulses following disturbances such as rewetting, flask manipulation and/or carbon inputs events that reflect rapid changes in substrate availability and microbial activity. The original formulation of PROCS, a  system model of two ordinary differential equations (ODEs) designed to describe SOC dynamics, was unable to accurately  represent abrupt state changes, therefore amplifying uncertainty, particularly in the estimation of SOC decomposability parameters. We extended the PROCS model to improve its ability to reproduce short-term respiration pulses observed in soil incubation experiments. A decaying function was added as a new differential equation to represent the transient effect of rewetting on SOC decomposability, with a rapid initial response that smoothly relaxed back to standard PROCS dynamics. We estimated all parameters of the extended PROCS model within a Bayesian inference framework using 30-month soil incubation data with no carbon inputs from three long-term cropland experimental sites across contrasting Brazilian climatic regions, explicitly accounting for three rewetting cycles and jointly fitting observed CO₂ emissions and SOC stocks. The extended model accurately reproduced observed decomposability pulses associated with incubation disturbance  events, substantially improving model–data compatibility, and yielded well-constrained posterior distributions for SOC concentration and decomposability and turnover-related parameters across sites. The introduction of a post-disturbance decaying function in the PROCS model, combined with Bayesian calibration, enabled the fitting of a parsimonious statistical model that accurately represented the transient disturbances effects and provided posterior distributions of model parameters. The model’s ability to fit all sequential rewetting cycles consistently suggests that the disturbance effect was compartment-independent. Our model extension enhanced the robustness of the PROCS model for its application in soil incubation experiments.

How to cite: Camolesi, J., Ruiz Potma Gonçalves, D., G. Barioni, L., Lopes Garcia, N., and Freguglia, V.: Bayesian Calibration of a Dynamic Model with Sequential Rewetting Disturbances Incubation Data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21829, https://doi.org/10.5194/egusphere-egu26-21829, 2026.

EGU26-204 | ECS | Orals | BG1.7

Moisture-driven controls on the stability of short-range order minerals and phosphorus cycling in tropical volcanic soils 

Juan Carlos Mendez, Cintya Solano-Solano, Manuel E. Camacho-Umaña, Agustin F. Solano-Arguedas, and Alexander Kaune

The pedogenic minerals in volcanic soils are predominantly composed of short-range order (SRO) aluminosilicates (e.g. allophane, imogolite) and Fe-hydr(oxides) (e.g. ferrihydrite), which influence the geochemical cycling of phosphorus (P). SRO minerals are metastable and can transform into more stable crystalline phases, a process influenced by environmental conditions like temperature and soil moisture. The present study aimed to analyze the variation in Fe and Al contents associated with SRO and their reactivity toward P across two soil toposequences with different soil moisture conditions on the Irazú Volcano, Costa Rica. Soil samples were collected from various horizons along an East-South (ES) toposequence (1734–2853 m.a.s.l.) with a consistently humid udic regime, and a West-South (WS) toposequence (1724–3178 m.a.s.l.) that transitions from a udic to a drier ustic regime when altitude decreases. Pedogenic forms of Fe, Al, and Si were operationally defined using ammonium oxalate (AO), dithionite-citrate (DC) and sodium pyrophosphate (Py) extractions. Phosphorus pools (P-Olsen, AO-extractable P (Pox), total P) were also quantified. Phosphorus adsorption was evaluated using batch experiments, and data were interpreted using the Langmuir equation and the mechanistic Charge Distribution (CD) model to estimate P adsorption capacity (Qmax) and reactive surface area (RSA) of the soils. In the humid ES toposequence, AO-extractable Al (Alox) and (Feox), Qmax and RSA, increased as altitude decreased. Those trends were attributed to the stable moisture along the altitudinal gradient and the increasing temperatures with decreasing altitude, favoring the formation and persistence of SRO minerals. In contrast, the WS toposequence showed no consistent trend with altitude, probably because the transition to ustic regime at lower altitudes promoted the transformation of SRO minerals into more crystalline phases. The P-Olsen/Pox ratio was low (<10%) across all samples and significantly lower in the ES toposequence, suggesting that the persistence of SRO minerals under humid conditions severely constrains P availability. An independent dataset of samples (n = 88) from the same study region corroborated the above findings. The udic soils showed a strong negative correlation between altitude and Alox (r = -0.80), Feox (r = -0.77), Pox (r = -0.53), and total C (r = -0.64). In ustic soils, the relationships were not evident and only Feox correlated with altitude (r = -0.63). The results show that soil moisture regime is a key factor regulating the persistence of highly reactive SRO minerals along altitudinal gradients. Thus, in humid regimes, persistent SRO minerals increase the capacity of soils to retain P and stabilize organic C, resulting in direct implications for P availability and cycling in these tropical volcanic landscapes.

How to cite: Mendez, J. C., Solano-Solano, C., Camacho-Umaña, M. E., Solano-Arguedas, A. F., and Kaune, A.: Moisture-driven controls on the stability of short-range order minerals and phosphorus cycling in tropical volcanic soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-204, https://doi.org/10.5194/egusphere-egu26-204, 2026.

EGU26-5410 | Posters on site | BG1.7

Spectroscopic analysis shows crandallite can be a major component of soil phosphorus 

Christian Vogel, Julian Helfenstein, Michael Massay, Ruben Kretzschmar, Ulrich Schade, René Verel, Oliver Chadwick, and Emmanuel Frossard

Phosphorus (P) bioavailability is crucial for the productivity of natural and agricultural ecosystems, and soil P speciation plays a major role therein. Better understanding of P forms present in soil is thus essential to predict bioavailability. However, P speciation studies are only as powerful as the reference spectra used to interpret them, and most studies rely on a limited set of reference spectra. Most studies on soil P forms differentiate between Ca-bound P (e.g. apatite), organic P, Fe-bound P, and Al-bound P. In our analysis of a Ca, Al, and P rich soil from the Kohala region of Hawaii, we identified the mineral crandallite, CaAl3(PO4)2(OH)5∙H2O, a mineral previously not considered to play a significant role in soils. Crandallite was first identified with powder X-ray diffraction. Subsequently reference spectra were collected, and the presence of crandallite was confirmed using micro-focused P K-edge X-ray absorption near edge structure (XANES) spectroscopy, micro-infrared spectroscopy, and solid-state 31P nuclear magnetic resonance (NMR) spectroscopy. Crandallite XANES spectra were distinct from other common XANES spectra due to the presence of features in the post-edge region of the spectrum. Linear combination fitting of bulk P K-edge XANES spectra allowed the determination of the proportion of crandallite to the total P content, indicating that crandallite comprises up to half, possibly even more of the soil P in the samples. Crandallite is therefore an important and potentially overlooked component of soil P, which pedogenically forms in soils with high P, Al, and Ca contents, where it could play an important role in P bioavailability.

How to cite: Vogel, C., Helfenstein, J., Massay, M., Kretzschmar, R., Schade, U., Verel, R., Chadwick, O., and Frossard, E.: Spectroscopic analysis shows crandallite can be a major component of soil phosphorus, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5410, https://doi.org/10.5194/egusphere-egu26-5410, 2026.

Long-term phosphorus (P) fertilization has resulted in substantial P accumulation in Taiwanese rice paddy soils, with concentrations reaching several thousand mg kg⁻¹. To assess the phytoavailability of this legacy P to rice, soil P speciation was characterized using X-ray absorption near-edge structure (XANES) spectroscopy and a sequential extraction procedure, and quantified P accumulation in rice as soil-to-plant translocation. Despite lower total and extractable P, acidic soils showed greater soil-to-root P translocation, whereas alkaline soils contained larger soil P pools but exhibited more constrained P translocation. Sequential extraction and XANES consistently indicated the coexistence of Ca-bound P (Ca–P) and Fe-bound P (Fe–P) across the pH range, including species not predicted to dominate from thermodynamic considerations. In acidic soils, the persistence of Ca–P suggests a potentially available pool that may supply P through gradual dissolution. In alkaline soils, abundant Fe–P implies retention within mineral phases that could remain chemically labile over long timescales. Overall, these findings highlight the need to account for soil P speciation when evaluating legacy P use and guiding fertilizer management, and the information is essential for developing strategies to sustain rice growth while reducing or eliminating P inputs.

How to cite: Huang, Z.-L. and Wang, S.-L.: Decoupling Phosphorus Pools and Plant Uptake: Chemical Speciation and Phytoavailability of Legacy P in Taiwanese Rice Paddies, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6111, https://doi.org/10.5194/egusphere-egu26-6111, 2026.

EGU26-6497 | ECS | Orals | BG1.7

Ubiquitos and dynamic phosphorus cycle mediated by marine fungi 

Kangli Guo and Zihao Zhao

Phosphorus (P) is essential for marine life, but fungal roles in the marine P cycle remain unclear despite the increasing recognition on marine fungal biomass. Using size-fractionated (0.8-5, 5-20, 20-180, 180-2000 µm) metagenomes and metatranscriptomes from the global epipelagic ocean, we reveal size-dependent fungal P metabolism dominated by Ascomycota . Pyrimidine metabolism dominates in the 20–180 µm fraction, whereas functions diversify in other sizes. Fungi on the largest particles (180-2000 µm) exhibit pronounced P uptake via transporters but limited extracellular alkaline phosphatase expression relative to smaller fractions. Signal peptide analysis indicates alkaline phosphotase (APase) as the main extracellular APase on large particles, yet overall AP expression remains modest and size-dependent. Linking P metabolism with carbohydrate and protein pathways shows coupling of P metabolism and carbohydrate/protein metabolism, suggesting acquisition of bioavailable P during particle degradation. Considering the notable biomass of marine fungi, these patterns imply an overlooked P sink and a particle-associated transfer route for P to fungal cells.

How to cite: Guo, K. and Zhao, Z.: Ubiquitos and dynamic phosphorus cycle mediated by marine fungi, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6497, https://doi.org/10.5194/egusphere-egu26-6497, 2026.

EGU26-6796 | ECS | Posters on site | BG1.7

Analysis of phosphorus stock variation in soil and biomass during an Eucalyptus rotation: a step towards modelling the phosphorus cycle 

Philippine Dubertrand, Guerric le Maire, Adam da Cruz Rodrigues, José Leonardo de Moraes Gonçalves, Ivan Cornut, and Nicolas Delpierre

Forests play a fundamental role in supporting global biodiversity, supplying key resources such as timber, paper, and energy, and acting as one of the largest terrestrial carbon sinks. Forest productivity, however, is constrained by several environmental factors, including the availability of carbon dioxide (CO2) and essential nutrients such as nitrogen (N), phosphorus (P), and potassium (K). Over the past decades, an increasing number of terrestrial ecosystem models (TEMs) have incorporated representations of nutrient cycles, most frequently considering N (Zaehle et al. 2009, Vuichard et al. 2019) more rarely P (Goll et al. 2012, 2017, Jiang et al. 2024) and K (CASTANEA model, see Cornut et al. 2022a, b).

Our study contributes to that effort by focusing on to the quantification and modelling of phosphorus (P) cycles, based on data and model simulations from Eucalyptus plantations in Brazil. As a starting point, we studied the fluxes of P between the soil (i.e., soil organic and inorganic P stocks) and the trees (i.e., aboveground biomass and P stocks). To do so, we used data from a P fertilization experiment conducted at the Itatinga experimental station (University of Sao Paulo) with various forms of P fertilizers. Using allometric relations and concentration measurements, we quantified the mass of phosphorus in each compartment of the trees (leaves, branches, trunk wood, bark and roots) during the entire rotation and compared it to the variation of P stock in the soil, measured in different chemical forms.

Results showed that, compared to control conditions (no fertilizer added), phosphorus fertilization increased the tree biomass production, the amount of P accumulated in plant tissues, as well as increasing the soil P stocks. However, the magnitude of these effects depended on the type of fertilizer used. Complexed humic phosphate, designed to enhance phosphorus bioavailability, produced the highest tree biomass and phosphorus mineralomass. In contrast, rock phosphate was most effective at increasing total soil phosphorus stocks. This outcome aligns with previous findings, as rock phosphate is less readily absorbed by plants than more soluble forms. Accounting for the spatial heterogeneity in soil P concentrations proved essential when computing the ecosystem P. In 5 out of 6 treatments we observed apparent P losses (i.e. unclosed P balance), which may reflect underestimation of deep root biomass and P pools in deeper soil layers. By contrast, in rock phosphate treatment, apparent P gains probably stemmed from overestimations of soil P related to uncertainties in the estimation of soil P spatial variability.

Given limitations in the data, we are currently considering incorporating a simplified representation of soil P in the CASTANEA model, representing only a small number of phosphorus compartments (organic vs. mineral form and availability to trees).

How to cite: Dubertrand, P., le Maire, G., da Cruz Rodrigues, A., de Moraes Gonçalves, J. L., Cornut, I., and Delpierre, N.: Analysis of phosphorus stock variation in soil and biomass during an Eucalyptus rotation: a step towards modelling the phosphorus cycle, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6796, https://doi.org/10.5194/egusphere-egu26-6796, 2026.

EGU26-7061 | ECS | Posters on site | BG1.7

Comparing turnover of soil organic phosphorus and bulk soil organic carbon in a 56-year oil palm chronosequence 

Ye Tian, Juan Carlos Quezada, and Marie Spohn

Soil organic phosphorus (SOP) can represent a large fraction of the total soil phosphorus pool, and its mineralization plays a key role in plant P supply. Phosphorylated organic compounds generally exhibit stronger adsorption to soil minerals than non-phosphorylated organic carbon, suggesting that SOP may cycle more slowly than bulk soil organic carbon (SOC). However, direct comparisons of SOP and SOC turnover times remain largely unknown due to methodological limitations.

Here, we investigated SOP turnover using soils from a 56-year chronosequence documenting the conversion of C₄ pasture to C₃ oil palm, thereby exploiting the natural δ¹³C contrast between vegetation types as an in situ tracer of carbon turnover. To specifically assess SOP dynamics, we applied a recently developed method to isolate SOP compounds from other soil organic compounds and quantified the δ¹³C signature of this SOP pool (Tian and Spohn, 2025). Turnover times of isolated SOP were then compared with those of bulk SOC across the chronosequence.

This study provides empirical data on SOP dynamics that are currently poorly represented in soil biogeochemical assessments and offers a transferable approach for disentangling phosphorus and carbon turnover in soils across ecosystems.

 

Reference

Tian, Y., & Spohn, M. (2025). A method to isolate soil organic phosphorus from other soil organic matter to determine its carbon isotope ratio. Soil Biology and Biochemistry, 210, 109911.

 

Acknowledgement

This research was funded by the European Research Council (ERC) (grant number 101043387).

How to cite: Tian, Y., Quezada, J. C., and Spohn, M.: Comparing turnover of soil organic phosphorus and bulk soil organic carbon in a 56-year oil palm chronosequence, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7061, https://doi.org/10.5194/egusphere-egu26-7061, 2026.

EGU26-7661 | ECS | Posters on site | BG1.7

Long-term soil organic phosphorus dynamics: evidence from 14C time series 

Layla M. San Emeterio, Carlos A. Sierra, and Marie Spohn

Soil organic matter (SOM) dynamics involve interactions between carbon (C) and phosphorus (P) cycling; while organic phosphorus (OP) constitutes only a small fraction of total SOM, its long-term turnover remains poorly constrained and may strongly influence nutrient availability and long-term biogeochemical cycling. While organic carbon (OC) turnover has been extensively studied using radiocarbon (14C), OP dynamics are commonly assumed to mirror those of OC, despite evidence that phosphorylated compounds interact more strongly with soil minerals and may persist longer than non-phosphorylated compounds. Here, we use bomb-derived 14C as a tracer to investigate multi-decadal OP turnover in agricultural soils based on a technique that allows us to isolate soil OP to measure its isotopic signature [1].

We analysed archived topsoil samples (0–20 cm) collected between 1957 and 2019 from a long-term field experiment, replicated at three sites in southern Sweden. This time series spans the period of atmospheric bomb 14C enrichment caused by thermonuclear weapons testing in the late 1950s, and subsequent decline, enabling thus direct comparison of C incorporation into OC and OP pools over more than five decades. Using a recently developed extraction–precipitation approach [1], we isolated soil organic phosphorus (TPOP) and measured its Δ14C signature alongside the Δ14C signature of soil total OC.

At the beginning of the observation period, the Δ14C values of bulk soil organic carbon (TOC) were consistently lower than those of the total precipitated organic phosphorus (TPOP) fraction across all sites. Over time, Δ14C of bulk TOC increased, reflecting incorporation of bomb-derived radiocarbon, and subsequently declined following the decrease in atmospheric Δ14C. In contrast, Δ14C values of TPOP showed a slower, attenuated response compared to bulk TOC across the study period. This pattern indicates a slower incorporation of recently fixed carbon into the OP-associated pool relative to bulk soil organic carbon.

The attenuated Δ14C response of TPOP therefore suggests that OP-associated organic matter is preferentially stabilized within mineral-associated pools [2,3], leading to longer persistance compared to bulk soil organic carbon. Although TPOP accounted for only a small proportion of soil TOC (≤ 14%), its older radiocarbon signature indicates a distinct contribution to long-term SOM persistence.

Our results provide the first long-term, radiocarbon-based evidence that soil OP turns over more slowly than TOC, likely due to stronger mineral associations and reduced microbial accessibility. These findings support the view that carbon and phosphorus cycling in soils are partially decoupled at multi-decadal timescales, with OP turnover constrained not by pool size but by stabilization mechanisms.

References:

[1] Tian, Y., & Spohn, M. (2025). A method to isolate soil organic phosphorus from other soil organic matter to determine its carbon isotope ratio. Soil Biology and Biochemistry210, 109911.

[2] Kögel‐Knabner, I., Guggenberger, G., Kleber, M., Kandeler, E., Kalbitz, K., Scheu, S., Eusterhues, K., & Leinweber, P. (2008). Organo‐mineral associations in temperate soils: Integrating biology, mineralogy, and organic matter chemistry. Journal of Plant Nutrition and Soil Science, 171(1), 61-82.

[3] Spohn, M. (2020). Phosphorus and carbon in soil particle size fractions: A synthesis. Biogeochemistry, 147(3), 225-242.

Acknowledgement:

This research was funded by the European Research Council (ERC) (grant number 101043387).

How to cite: San Emeterio, L. M., Sierra, C. A., and Spohn, M.: Long-term soil organic phosphorus dynamics: evidence from 14C time series, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7661, https://doi.org/10.5194/egusphere-egu26-7661, 2026.

EGU26-9236 | ECS | Orals | BG1.7

Disentangling the drivers of total and available phosphorus distributions in Swiss soils 

Jolanda E. Reusser, Anina Gilgen, Jérôme Schneuwly, Simon Baumgartner, Helge Aasen, Diane Bürge, and Juliane Hirte

Phosphorus (P) is essential for plant growth, but excessive accumulation in soils can pose environmental risks, particularly through losses into water bodies. However, despite large spatial variability in P concentration and availability, no nationwide map of soil P exists for Switzerland. Moreover, knowledge of the relative importance of management-related factors compared to soil chemical and pedoclimatic drivers on the distribution of total and available P remains limited.

This study aims to predict and explain the distribution of total and available P pools in Swiss topsoils. For this purpose, we combined machine-learning approaches (ML) using Random Forests with model interpretation based on Shapley values to identify the main drivers controlling the P distribution. As model input, we used total P data measured at 960 sites of the Geochemical Soil Atlas of Switzerland in combination with predictor variables representing land use, soil properties, as well as environmental and geological conditions. To further investigate P dynamics in agricultural soils, we integrated a dataset from the Swiss Proof of Ecological Performance (PEP) subsidy scheme, which comprises 14 years of soil analyses since 2010. Available P pools were operationally defined using CO₂ saturated water extraction as a proxy for immediately plant available P, and ammonium acetate - EDTA extraction (AAE10) representing a larger pool of exchangeable soil P. This dataset includes approximately 150’000 observations, allowing differentiation between arable land and grassland.

As expected, total P concentrations are significantly higher in arable land and in pastures/grasslands compared with forests and alpine areas. Accordingly, interpretable ML measures, including Shapley values, indicate that land use is the most important predictor, followed by the presence of nutrients such as nitrogen (N), potassium (K), and sulfur (S). In contrast, soil chemical properties (e.g. pH, soil organic carbon) and proxies for pedoclimatic conditions, such as temperature or lithology, are less important for the prediction on a national scale.

Across Switzerland, the lowest available P concentrations are observed in north-western and southern regions, whereas the highest concentrations were measured along the Swiss Plateau and in central and north-eastern Switzerland. While P concentrations extracted with CO₂ saturated water are similar between arable crops and grassland, arable soils exhibit systematically higher AAE10 extractable P. Further work will focus on identifying the main drivers of available P pools and their temporal changes across Switzerland, including data from remote sensing and other monitoring programmes.

By combining spatially resolved geochemical data, interpretable machine learning approaches, and long-term agricultural monitoring data, this study provides a framework for identifying key drivers of the distribution of P pools in Swiss soils, thereby supporting targeted and sustainable nutrient management strategies.

How to cite: Reusser, J. E., Gilgen, A., Schneuwly, J., Baumgartner, S., Aasen, H., Bürge, D., and Hirte, J.: Disentangling the drivers of total and available phosphorus distributions in Swiss soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9236, https://doi.org/10.5194/egusphere-egu26-9236, 2026.

EGU26-10267 | ECS | Posters on site | BG1.7

Characterization and Dynamics of NaOH-Extractable Organic Phosphorus Species in Soils 

Yaqin Wang and Zheng Chen

Organic phosphorus (Po) plays a critical role in soil phosphorus (P) cycling, yet the behavior and fate of specific Po species remain poorly understood. In this study, ion chromatography coupled with inductively coupled plasma mass spectrometry (IC-ICP-MS) was employed to characterize NaOH-extractable Po species in two soil types, with a focus on their temporal dynamics and responses to soil degradation. Nine distinct phosphorus peaks were identified in soil extracts, of which four remain unidentified. Based on their occurrence patterns and sensitivity to environmental change, these Po species were classified into three groups: unstable species, detected only in fresh plant or algal materials; stable species, consistently present across all samples with minimal variation; and indicator species, exhibiting moderate sensitivity to environmental conditions. Notably, the indicator species α-glycerophosphate (α-gly) and an unidentified compound (P150) showed pronounced declines during degradation. Along a grassland degradation gradient, P150 concentrations decreased by 66% in highly degraded soils compared with non-degraded soils, while α-gly declined by 27%. In addition, IC-ICP-MS revealed a tenfold discrepancy between conventional colorimetric and direct Po measurements, indicating the dominance of recalcitrant macromolecular Po fractions in soils. These results provide new insights into the molecular-level dynamics of soil Po and highlight the importance of small-molecular Po species in sustaining soil fertility and ecosystem resilience.

How to cite: Wang, Y. and Chen, Z.: Characterization and Dynamics of NaOH-Extractable Organic Phosphorus Species in Soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10267, https://doi.org/10.5194/egusphere-egu26-10267, 2026.

Phosphorus (P) availability has regulated terrestrial productivity over geological time, leaving a persistent imprint on ecosystem structure, biodiversity, and function. In tropical forests, strong soil P gradients are overcome by fine-tuned P use and acquisition strategies, enabling forests to maintain high productivity despite large differences in soil P supply. Rising atmospheric CO₂ increases biological P demand, making P constraints a central factor for tropical forest carbon sink capacity and a major source of uncertainty in future model projections. Climate change and human disturbances further disrupt plant–soil–microbial interactions and reconfigure P losses and recycling, raising questions about forest functioning and vulnerability.

I synthesize current understanding of tropical forest functioning across soil P gradients, focusing on the co-evolution of soil P pools, vegetation P acquisition strategies, and consequences for the forest carbon (C) cycle. Evidence on P acquisition spans “foraging” strategies in relatively P-rich systems to “mining” of less accessible P forms in highly weathered soils.

Building on this framework, I present model results showing that internal recycling of organic P pools plays a critical role in shaping carbon sink capacity and vulnerability under rising CO₂. Simulations with a terrestrial biosphere model across the Amazon reveal that CO₂ fertilization effects depend not only on background soil P, but also on the capacity of forest ecosystems to enhance enzyme-driven acquisition of rapidly recycled organic P, intensifying internal P recycling. This strategy occupies an intermediate position between foraging and mining, relying on carbon investment to increase turnover of actively cycling P. Such recycling may support short-term forest functioning while increasing sensitivity to P disruption and loss under global change.

Finally, I highlight how an upcoming CO₂ enrichment experiment in the Amazon will provide a unique opportunity to directly test these mechanisms and provide empirical constraints on how internal phosphorus recycling shapes tropical forest carbon sink capacity and vulnerability under global change.

How to cite: Fleischer, K.: Tropical Forests on a Phosphorus Loop: Internal Recycling Regulates Carbon Sink Capacity and Vulnerability under Global Change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12109, https://doi.org/10.5194/egusphere-egu26-12109, 2026.

The concentration of soil available P is influenced by multiple processes, including the input, loss, and transformation of available P. Phosphorus limitation in terrestrial ecosystems is considered a major issue that needs to be urgently addressed for ecosystem management and restoration. Microorganisms exert important effects on soil P cycling and regulate its availability. Alkaline phosphatase (ALP), primarily derived from soil microbes, is a key enzyme responsible for hydrolyzing organic phosphorurs.
In this study, we analyzed soil samples from uncultivated land to investigate the relationships among ALP gene abundance, enzyme activity, and soil chemical properties, including total carbon, phosphorus, and nitrogen. Quantitative PCR (qPCR) was used to quantify ALP-related genes, while 16S rRNA gene sequencing was employed to characterize microbial community structure. Species richness, Shannon diversity index, and available phosphorus levels were also measured to provide ecological context.
Our findings reveal complex interactions between microbial community composition, functional gene abundance, and phosphorus availability. Notably, ALP activity did not always correspond to gene abundance—particularly phoD—suggesting the influence of regulatory mechanisms, community diversity, or environmental constraints. Furthermore, correlations between microbial diversity and ALP activity varied, underscoring the nuanced role of community structure in functional gene expression.
This integrative approach highlights the importance of combining molecular, biochemical, and ecological data to enhance our understanding of phosphorus cycling in uncultivated soils and provides valuable insight into the microbial ecology of low-disturbance terrestrial ecosystems.

How to cite: Dawas, A., Ghose, A., and Kolton, M.: Linking phosphorus-solubilizing bacterial activity in uncultivated soils with soil chemical properties and key gene abundance, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14119, https://doi.org/10.5194/egusphere-egu26-14119, 2026.

EGU26-14673 | Posters on site | BG1.7

A geospatial framework to model within-field phosphorus efficiency via proximal sensing and machine learning 

Kabindra Adhikari, Douglas Smith, and Chad Hajda

Phosphorus (P) is essential for crop production, yet inefficient management contributes to nutrient losses, water pollution, and eutrophication. Phosphorus use efficiency (PUE) is a key metric for balancing agronomic productivity with environmental sustainability. However, within-field spatial variability of PUE remains poorly understood. This study presents a spatially explicit framework integrating proximal sensing, field measurements, and machine learning to assess and map PUE in corn (Zea mays L.) systems from Central Texas, USA. Grain yield was measured with an Ag Leader yield monitor, while grain protein, oil, and starch were assessed using a CropScan grain quality sensor mounted to the combine. Apparent soil electrical conductivity (ECa) was mapped using a Veris platform to characterize soil spatial variability. Grain and soil P contents were determined from strategically selected locations using conditioned Latin hypercube sampling and scaled across fields through regression with CropScan measurements. PUE was calculated as the ratio of grain P removal to residual soil P plus applied fertilizer P. A Random Forest (RF) model was trained using ECa and terrain attributes to predict spatial patterns of PUE. The proximal sensing approach effectively captured P dynamics, with CropScan-based grain P predictions achieving R² up to 0.97. The RF model predicted PUE with high accuracy (R² = 0.78; RMSE = 0.01). ECa, elevation, and wetness index were the dominant drivers of PUE variability, with predicted values ranging from 0.02 to 0.25. Fields with higher residual soil P exhibited lower PUE, while P-limited fields showed greater efficiency. This framework enables high-resolution assessment of within-field PUE and supports precision P management to enhance productivity while reducing environmental impacts.

How to cite: Adhikari, K., Smith, D., and Hajda, C.: A geospatial framework to model within-field phosphorus efficiency via proximal sensing and machine learning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14673, https://doi.org/10.5194/egusphere-egu26-14673, 2026.

EGU26-15957 | ECS | Posters on site | BG1.7

Soil Legacy Phosphorus Reshapes the Soil–Plant Nutrient Continuum: Evidence from 77 Taiwanese Rice Paddies 

Yin-Chiao Chang and Shan-Li Wang

Legacy phosphorus (P) from long-term fertilization persists in farmland soils due to strong soil P fixation. Because P mobility and accumulation are linked to reactions with other elements, excessive soil P accumulation may alter nutrient translocation across the soil-rhizosphere-plant continuum, potentially disrupting crop nutrient homeostasis. To investigate these effects, this study collected samples from 77 rice paddies across Taiwan, which spanned a wide range of soil P levels. Element concentrations in soils and in rice (Oryza sativa L.) roots, shoots, and grains were analyzed using ICP-OES and ICP-MS after microwave digestion. Accumulation factors and translocation factors were subsequently calculated and compared with data from previous studies. The results showed that increasing soil P led to a significant increase in P concentration only in roots, but no corresponding increase in P concentrations in shoots or grains, indicating strong retention of excess P in roots. Magnesium (Mg) and zinc (Zn) concentrations in rice grains were lower than literature benchmarks, with Mg ranging from 865.0 to 1344.4 mg·kg⁻¹ (≈1400 mg·kg⁻¹ in previous studies) and Zn averaging 23.3 mg·kg⁻¹ (36.1 mg·kg⁻¹ in previous studies). As root P concentrations increased, the root-to-shoot translocation of both Mg and Zn decreased, suggesting that phosphate-driven binding and/or precipitation within the root system. Selenium (Se) concentrations in rice grains also showed a declining trend (averaging 0.01 mg·kg⁻¹) relative to previous soil-based studies (≈0.07 mg·kg⁻¹). Furthermore, Se accumulation in roots decreased with increasing soil phosphorus levels, suggesting competition between selenite (SeO₃²⁻) and phosphate (PO₄³⁻) during plant uptake and translocation. Manganese (Mn) in shoots averaged 303.6 mg·kg⁻¹, lower than the 560 mg·kg⁻¹ reported previously, and root Mn concentrations decreased with increasing soil P concentrations, suggesting that elevated P may reduce Mn availability through precipitation or adsorption processes under high P conditions. Overall, these results suggest that soil legacy P can alter the uptake and internal partitioning of multiple micronutrients in rice, and may reduce some micronutrients in grains. Mechanistic confirmation (e.g., root-phase speciation and transporter-level evidence) is needed to resolve the processes underlying these patterns.

How to cite: Chang, Y.-C. and Wang, S.-L.: Soil Legacy Phosphorus Reshapes the Soil–Plant Nutrient Continuum: Evidence from 77 Taiwanese Rice Paddies, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15957, https://doi.org/10.5194/egusphere-egu26-15957, 2026.

EGU26-16317 | ECS | Posters on site | BG1.7

The divergent role of inorganic versus organic P during the Fe(II)-catalyzed transformation of ferrihydrite 

Sara Martinengo, Andrew R.C. Grigg, Andreas Voegelin, and Ruben Kretzschmar

In reduced soils, phosphorus (P) biogeochemistry is strongly governed by iron (Fe) oxides, particularly poorly crystalline ferrihydrite due to its large surface area. Ferrihydrite is metastable and naturally transforms into more stable phases such as lepidocrocite and goethite. Under reducing conditions, under reducing conditions, adsorption of Fe(II) on the Fe(III) oxyhydroxide surface catalyzes this transformation via iron atom exchange (IAE). Structural impurities, including retained anions and organic ligands, influence transformation kinetics and products. Stable 57Fe isotope tracer experiments showed that neither P nor organic ligands prevent initial IAE, but P strongly suppresses lepidocrocite and goethite recrystallization, whereas organic ligands were less effective.

P speciation in natural environments is complex and includes inorganic (Pin) and organic (Porg) forms. Porg, especially inositol phosphates, often dominates total soil P and acts as a long‑term sink when retained by poorly crystalline Fe oxides. Different P compounds interact differently with ferrihydrite surfaces, thereby potentially influencing its transformation products in various ways. However, to the best of our knowledge, the influence of P speciation on Fe(II)-catalyzed ferrihydrite transformation remains unexplored.

In this study, NAFe ferrihydrite (⁵⁴Fe: ~5.84%; ⁵⁶Fe: ~91.76%; ⁵⁷Fe: ~2.12%; ⁵⁸Fe: ~0.28%) co‑precipitated with inorganic P (Pin‑Fh) and/or organic P (inositol phosphate; Porg‑Fh) suspensions were spiked with a ⁵⁷Fe(II) stock solution (⁵⁷Fe = 97.3%) to reach a Fe(II):Fe(III) ratio of 0.14 mol/mol. Suspensions were incubated for 4 weeks at pH 6.0 (40 mM MES buffer). Variations in aqueous P and Fe(II) concentrations, as well as the Fe isotopic composition of the solution, used to track atom exchange between solid NAFe(III) and aqueous ⁵⁷Fe(II), were measured by inductively coupled plasma mass spectrometry (QQQ‑ICP‑MS). The mineral composition of the solid phase was determined by X‑ray diffraction (XRD), Fe extended X‑ray absorption fine structure (EXAFS) spectroscopy, and ⁵⁷Fe Mössbauer spectroscopy.

The obtained results demonstrate that neither inorganic nor organic P fully prevented IAE; however, Porg‑Fh showed a faster and overall greater exchange compared to Pin‑Fh. After 4 weeks of incubation, Porg‑Fh resulted in nearly complete atom exchange, while only 60% of the atoms were exchanged in Pin‑Fh. This effect can be attributed to the pronounced decrease in ferrihydrite surface charge induced by Porg co‑precipitation, which may have promoted aqueous Fe(II), especially at pH < 7.

After 2 weeks of incubation, XRD showed that Porg‑Fh progressively started to transform into lepidocrocite, while no changes were detected for Pin‑Fh. Fe‑EXAFS showed that initial Porg‑Fh transformed into 40% lepidocrocite, and high‑resolution Mössbauer temperature profiles further confirmed the presence of <10% goethite fractions. Pin‑Fh was nearly unchanged in Fe‑EXAFS, while Mössbauer showed a slight increase in blocking temperature, likely associated with increased mineral structural ordering.

The release of P into solution was <1% of the P initially retained in the solid and was entirely attributed to Pin. No Porg release was detected. Overall, our results indicate that ferrihydrite is an effective sink for P during Fe(II)‑catalyzed transformation. Porg is much more strongly retained than Pin, which likely limits its availability for biological degradation processes and favors accumulation over time.

How to cite: Martinengo, S., Grigg, A. R. C., Voegelin, A., and Kretzschmar, R.: The divergent role of inorganic versus organic P during the Fe(II)-catalyzed transformation of ferrihydrite, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16317, https://doi.org/10.5194/egusphere-egu26-16317, 2026.

EGU26-17437 | ECS | Orals | BG1.7

How hydrological connectivity controls sediment phosphorus release in a river–floodplain system 

Michele Meyer, Matthias Koschorreck, Markus Weitere, Daniel Graeber, David Kneis, and Nuria Perujo

River–floodplain systems are multifunctional and hydrologically dynamic systems that provide key ecosystem services, including water storage and nutrient retention. Albeit reduced phosphorus (P) inputs to freshwater systems, eutrophication remains widespread. In shallow systems such as floodplains, sediment P released through microbial mineralisation can sustain high nutrient concentrations in water. Lateral hydrological connectivity further shapes sediment nutrient fluxes and microbial processes by changing biogeochemical conditions. However, the mechanistic pathways linking hydrological dynamics to sediment P release remain insufficiently understood.

Here, we synthesise findings from three complementary studies combining field campaigns along a hydrological river-floodplain gradient with experimental drought–rewetting incubations. We propose a framework in which hydrological connectivity functions as the ultimate driver, regulating microbial activity and organic matter quality, which in turn act as proximate drivers of sediment P release.

Across a hydrological gradient in a floodplain of the German Elbe River, we find that hydrological connectivity between floodplain water bodies and the main river consistently mediates sediment P release. Field measurements during floodplain connection and retraction phases revealed spatially distinct dynamics, with P release increasing progressively along the hydrological gradient during retraction. This pattern coincided with enhanced sediment phosphatase enzyme activity and organic matter concentrations. An experimental drought-rewetting incubation further showed that short-term drought modifies microbial controls on sediment P release but exerts weaker effects than long-term hydrological connectivity. Moreover, we observed P release under oxic conditions, which was linked to heterotrophic microbial carbon use and humic-like dissolved organic matter.

Our findings collectively suggest that P fluxes are shaped by hydrologically mediated shifts in microbial organic matter decomposition, with hydrological connectivity possibly defining the boundary conditions under which microbial processes operate. Ultimately, hydrological connectivity should be integrated into river–floodplain research for its simultaneous effects on phosphorus transport and turnover.

How to cite: Meyer, M., Koschorreck, M., Weitere, M., Graeber, D., Kneis, D., and Perujo, N.: How hydrological connectivity controls sediment phosphorus release in a river–floodplain system, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17437, https://doi.org/10.5194/egusphere-egu26-17437, 2026.

EGU26-18787 | Posters on site | BG1.7

Regeneration and burial of phosphorus along a lake chain in a complex boreal catchment 

Tom Jilbert, Siqi Zhao, Jussi Vesterinen, and Olga Tammeorg

Phosphorus is transported laterally within river catchments due to weathering and erosion processes, but may also be retained on floodplains and in lake sediments. The balance between lateral transport and retention on the catchment scale is important in determining downstream impacts of phosphorus loading on water quality. In low-relief boreal environments with positive water balance, river catchments typically consist of complex lake chains connected by short lotic sections. The density of lakes enhances the potential for retention of phosphorus mobilized in upstream areas and thus protection of downstream water quality. However, the morphometry of individual lakes may impact upon retention capacity, through regulating sedimentation and redox conditions and thus also phosphorus regeneration.  Here we studied phosphorus retention in lake sediments in the Siuntionjoki river catchment in southern Finland. The 487 km2 catchment includes 65 lakes of at least one hectare in surface area, draining into the Gulf of Finland to the west of Helsinki. We monitored sedimentary phosphorus accumulation and release in 10 primary lakes along the axis of the main Siuntionjoki river during one annual cycle. In this contribution, we present first results of the project and discuss these in the context of known water quality variability in the catchment.     

How to cite: Jilbert, T., Zhao, S., Vesterinen, J., and Tammeorg, O.: Regeneration and burial of phosphorus along a lake chain in a complex boreal catchment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18787, https://doi.org/10.5194/egusphere-egu26-18787, 2026.

EGU26-19734 | Orals | BG1.7

Bioavailable dissolved organic carbon serves as a key regulator of phosphorus dynamics in stream biofilms  

Nuria Perujo, Daniel Graeber, Patrick Fink, Lola Neuert, Nergui Sunjidmaa, and Markus Weitere

Phosphorus (P) dynamics at the sediment-water interface of aquatic ecosystems are receiving increasing attention due to their implications for water quality. P uptake by microbial biofilms can serve as a mechanism to control and mitigate the risk of eutrophication. Microbial biofilms capture P both intracellularly and extracellularly. While the significance of extracellular P entrapment in biofilms in engineered systems has recently been established, little is known about its dynamics in aquatic ecosystems. Current research on eutrophication control predominantly emphasizes nitrogen, phosphorus, or nitrogen-phosphorus ratio-based approaches, often overlooking the potential indirect influence of bioavailable dissolved organic carbon (DOC) on P uptake by heterotrophic microorganisms.

In this study, we tested the effect of bioavailable DOC on P entrapment patterns in biofilms and in biofilm P-regulation mechanisms such as polyphosphate accumulation and alkaline phosphatase activity in semi-natural flow-through experimental flumes. Our results show that intracellular P entrapment, is limited by bioavailable DOC, while extracellular P entrapment is independent of bioavailable DOC and potential to offset intracellular P saturation.

We further demonstrate that DOC bioavailability influences benthic P cycling and that its implications may extend into critical areas of ecosystem functioning such as river self-purification, competitive resource utilization and organic P cycling.

How to cite: Perujo, N., Graeber, D., Fink, P., Neuert, L., Sunjidmaa, N., and Weitere, M.: Bioavailable dissolved organic carbon serves as a key regulator of phosphorus dynamics in stream biofilms , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19734, https://doi.org/10.5194/egusphere-egu26-19734, 2026.

EGU26-20853 | Orals | BG1.7

Insights into soil phosphorus biogeochemistry using new NMR techniques and P fertilization experiments 

Jürgen Schleucher, Alessandro Ruda, Lucia Fuchslueger, and Reiner Giesler

Phosphorus is considered a limiting nutrient in many ecosystems, and is therefore likely to constrain global carbon sinks. A thorough understanding of organic P composition in soils is vital across fields, from agriculture to ecology. Organic phosphorus (P) is a large fraction of soil P, but its speciation is still poorly understood.

NMR spectroscopy gives important insights into the speciation of soil P, because each P species gives rise a specific signal, and information on molecular weight can also be obtained from NMR spectra. Here we present new methodology to define soil P speciation, results concerning identification of P monoesters in soils, and on P speciation in tropical ecosystems.

Orthophosphate monoesters, with are intrinsically linked to P biochemistry, make up a central region in 31P NMR spectra. This region often contains resolved signals overlaid on a background. The resolved signals have been identified, but the background hampers their quantification. More important, the background can represent a large fraction of soil P, but its P biogeochemistry is completely enigmatic.

We have previously reported that the background is not composed of macromolecular P species. Instead, measurements of the true linewidths of the signals revealed that the background is composed of hundreds of small-molecule P species (Haddad et al., 2024). Here we show that the background contains a large number of P monoesters, and we present data on their identity based on a combination of MS-metabolomics and new NMR experiments, to understand the origin and ecological significance of this large unexplored P pool.

Highly weathered soils in the tropics often contain low P levels. In two tropical forests in French Guiana, the effect of P fertilization in these ecosystems has been studied (Lugli et al., 2023). Here we present NMR data on the P speciation in the two forests which differ in nutrient status, and on the effect of P fertilization on P speciation.

 

Haddad, L.; Vincent, A. G.; Giesler, R.; Schleucher, J. Small Molecules Dominate Organic Phosphorus in NaOH-EDTA Extracts of Soils as Determined by 31P NMR. Sci. Total Environ. 2024, 931, 172496.

Lugli LF., Fuchslueger L et al. Contrasting responses of fine root biomass and traits to large-scale nitrogen and phosphorus addition in tropical forests in the Guiana shield. Oikos 2024:e10412

How to cite: Schleucher, J., Ruda, A., Fuchslueger, L., and Giesler, R.: Insights into soil phosphorus biogeochemistry using new NMR techniques and P fertilization experiments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20853, https://doi.org/10.5194/egusphere-egu26-20853, 2026.

To promote sustainable crop production, the use of synthetic mineral fertilisers must be reduced. Bio-based fertilisers (BBF) offer a sustainable alternative, but their adoption is hindered by a lack of understanding of their fertilising value and behaviour in soil. This is particularly crucial for phosphorus (P), a finite, non-renewable resource that limits crop productivity in 67% of soils worldwide and is subject to potential supplier monopolies.

The addition of BBF to soil introduces significant amounts of carbon (C) and nitrogen (N), which can greatly influence nutrient cycling driven by soil microorganisms. These microorganisms are key drivers of the P cycle, and their activity is often limited by the availability of C and N. Another source of C in soil is plant root activity, which continuously supplies a small amount of labile C during plant growth. Microbial communities may respond differently to this continuous C supply depending on previous C and N availability.

The overarching goal of the PRIME-P project is to achieve a mechanistic and dynamic understanding of soil P cycling mediated by microorganisms in relation to different forms of C and N introduced by BBF and plant roots. I propose using state-of-the-art approaches to evaluate the effects of BBF and root exudates on microbial P mobilisation. This will allow to address the following specific objectives:

  • Identify how regulating soil nutrient balance can positively affect microbial-P processing for plants
  • Determine how different BBF additions affect soil OM over time and influence microbial P mobilisation
  • Assess whether rhizosphere P priming occurs in soils that have received BBF
  • Enhance modelling capabilities for P derived from BBF

These objectives are fundamental for identifying more sustainable agricultural practices that promote nutrient circularity. They will address critical challenges in soil-plant-microorganism interactions, paving the way for scalable, bio-based solutions to sustainable soil fertility and beyond.

 

How to cite: Raymond, N. S.: Can microbial phosphorus mobilization be primed? Organic fertilisereffect on biological soil phosphorus cycling (PRIME-P), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22251, https://doi.org/10.5194/egusphere-egu26-22251, 2026.

EGU26-824 | ECS | Posters on site | BG1.11

Two new clades of T7-like cyanophages: diversity, distribution and infection patterns based on omics data 

Elena Khavin, Kira Kondratieva, Ilia Maidanik, Michael Carlson, Irena Perkarsky, and Debbie Lindell

Cyanobacteria play a significant role in global biogeochemical cycles, including carbon fixation and oxygen production. Among them, marine picocyanobacteria Prochlorococcus and Synechococcus constitute the most numerically abundant group of photosynthetic organisms on Earth. They are dominant in oligotrophic regions and contribute a quarter of primary production in the ocean. Picocyanobacterial distribution depends on abiotic factors, e.g. light, temperature, and nutrients, as well as biotic mortality factors, such as grazers and viral infection. Viruses also impact the diversity of picocyanobacteria during their coevolution. Infection of cyanobacteria by phages ends in lysis and release of organic matter from cells to the water column. The T7-like cyanophage family is one of two main virus families infecting marine picocyanobacteria. Two groups of T7-like cyanophages were known until recently: clades A and B. They have various distribution, infection properties and patterns, resulting in differential impacts on picocyanobacterial populations. In 2023 a new group of T7-like cyanophages was discovered, and was named clade C. However, only two genotypes of the novel group were known, both isolated on Prochlorococcus. In this study we investigated the diversity within the new group using assembled environmental sequences. We also estimated the relative abundance and infection of this group and compared them with other T7-like cyanophages clades along a transect in the North Pacific Ocean and over the spring period or from winter mixing to summer stratification in the Red Sea. For this we used viromic and cellular metagenomic data to determine relative abundance of free-living viruses and gain an indication of infection, respectively. We found that the new group actually consists of two distinct clades, which we renamed as clades C and D. Clade D is more diverse than clade C. In the North Pacific Ocean both clades were relatively more abundant in the North Pacific Subtropical Gyre and decreased towards the north. In some samples clade D recruited more than 40% of T7-like cyanophage viromic reads. In the Red Sea the relative abundance of both clades increased towards the summer. In both regions clade D was generally more abundant that clade C, and the abundances of clades C and D followed the abundances of Prochlorococcus. This study provides new insights into the diversity, spatial distribution and seasonal dynamics of two new clades of T7-like cyanophages. It demonstrates that clade D could be an important viral group impacting primary production and biogeochemical cycles in the oligotrophic oceans.

How to cite: Khavin, E., Kondratieva, K., Maidanik, I., Carlson, M., Perkarsky, I., and Lindell, D.: Two new clades of T7-like cyanophages: diversity, distribution and infection patterns based on omics data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-824, https://doi.org/10.5194/egusphere-egu26-824, 2026.

EGU26-3377 | ECS | Posters on site | BG1.11

In-field monitoring of airborne biodiversity using a passive sampler  

Shayma Alathari

The application of molecular techniques in analysing aerobiology and airborne environmental DNA (eDNA) has expanded rapidly in recent years, offering powerful tools for indirect detection of plant, animal, and microbial taxa at landscape scale. Monitoring shifts in plant communities in response to human activity or management actions is crucial to understand their impact on biodiversity. To date, most airborne DNA studies have focused on pollen and single species detection, overlooking a variety of aerobiological sources, including plant fragments. Consequently, surveying entire plant communities through DNA metabarcoding is increasingly utilised, as it has the potential to enhance detection accuracy and broaden ecological insights at a landscape scale.

Here, we present how a passive air sampler and DNA metabarcoding can be employed to characterise plant biodiversity by capturing aerobiological material. Samplers were deployed across woodland and grassland habitats, with weekly collections used to characterise local plant community composition and quantify temporal dynamics in species detection. Aerobiological material collected by the samplers were analysed using plant-targeted DNA markers and sequenced on the Oxford Nanopore Technologies MinION platform. To evaluate methodological robustness, a sampler was positioned adjacent to a standard pollen trap, enabling comparison of taxa recovered by molecular and morphological methods.

Temporal and spatial patterns revealed through traditional pollen microscopy were closely aligned with those obtained via our molecular workflow, with the DNA based method providing finer taxonomic resolution. Although three days of deployment yielded sufficient cellular material for aerobiological analysis, we recommend a minimum of six days to reliably capture full community composition. Overall, our results demonstrate that aerobiological DNA metabarcoding is a scalable and sensitive approach for characterising plant communities and provides a powerful compliment to existing biodiversity and pollen monitoring programmes.

Integrating environmental genomics with established, aerobiological surveillance methods offer substantial advantages, including the detection of non-pollen plant material and the early recognition of non-native or potentially invasive species. We see considerable potential in combining environmental genomics with existing airborne monitoring approaches. The portability of the MinION device enables metabarcoding directly at the point of sampling, reducing transport delays and minimizing sample degradation, and is especially valuable in biodiversity-rich but under-resourced areas, where timely aerobiological data can guide conservation decisions and support early detection of invasive species.

How to cite: Alathari, S.: In-field monitoring of airborne biodiversity using a passive sampler , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3377, https://doi.org/10.5194/egusphere-egu26-3377, 2026.

EGU26-3390 | ECS | Posters on site | BG1.11

Seasonal shifts in the sensitivity of plant hydraulic parameters controlling ecosystem water and carbon fluxes in eCLM 

Juan C. Baca Cabrera, Fernand Eloundou, Bibi S. Naz, Christian Poppe Terán, Harrie-Jan Hendricks Franssen, and Jan Vanderborght

Plant hydraulic traits regulate water transport in the soil–plant–atmosphere continuum and mediate the coupling between soil moisture availability, stomatal regulation, and ecosystem carbon uptake. Mechanistic representations of plant hydraulics in land surface models, such as the Community Land Model (CLM), improve the accuracy of simulated vegetation fluxes, particularly under drying soil conditions¹, but they also introduce additional parameters that can be difficult to constrain and can strongly influence model outputs. Global ensemble perturbation experiments in CLM have shown that plant hydraulic parameters are among the most influential controls on evapotranspiration, although their relative importance varies across regions². Yet, how the sensitivity of these parameters varies across plant functional types (PFTs) and seasons remains largely unexplored.

In this study, we investigated the sensitivity of simulated vegetation water potential and water and carbon fluxes to five key plant hydraulic parameters, including stomatal behavior (medlyn slope), plant and root conductance (kmax and krmax), cavitation resistance (psi50) and root distribution (β) using eCLM (https://github.com/HPSCTerrSys/eCLM). Ensemble simulations were performed for 13 ICOS sites across Europe, covering four climate zones and five PFTs, over the period 2009–2018. The selected parameters were varied within PFT-dependent ranges following previous perturbation experiments²,³, resulting in a total of 336 ensemble members. Variance-based parameter sensitivities (main effects, two-way interaction effects, and total effects) were quantified using the GEM-SA global sensitivity analysis framework based on Gaussian process emulation4. Emulators were trained on monthly averages for each station and each output variable individually.

Across simulations, medlyn slope and kmax showed the strongest effects on simulated water and carbon fluxes (ET, Tr, GPP, NEE) with main effects explaining more than 60% of the variance, while two-way interaction effects contributed only marginally. However, parameter sensitivities varied substantially among PFTs, with distinct patterns in the relative importance of dominant parameters for Mediterranean evergreen broadleaf forests, temperate deciduous forests, and evergreen needleleaf forests. Sensitivities also varied seasonally, with the remaining parameters—particularly psi₅₀—becoming increasingly influential under dry summer conditions. Most notably, seasonal shifts in the direction of parameter effects on canopy transpiration were detected at drought-prone Mediterranean sites: higher medlyn slope increased transpiration during spring, but led to reduced transpiration during summer, reflecting earlier stomatal closure under increasing plant hydraulic stress.

Our results show that model sensitivity to plant hydraulic parameters varies across PFTs and seasons, reflecting changes in model behavior across environments. These findings motivate further model development and refinement of plant hydraulic and stomatal process representation to ensure consistent performance across seasons, especially during drought.

References 

  • 1Kennedy et al. (2019). 10.1029/2018MS001500
  • 2Kennedy et al. (2025). 10.1029/2024MS004715
  • 3Eloundou et al. (2024). 10.5194/egusphere-egu24-16086
  • 4O’Hagan (2006). 10.1016/j.ress.2005.11.025

How to cite: Baca Cabrera, J. C., Eloundou, F., Naz, B. S., Poppe Terán, C., Hendricks Franssen, H.-J., and Vanderborght, J.: Seasonal shifts in the sensitivity of plant hydraulic parameters controlling ecosystem water and carbon fluxes in eCLM, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3390, https://doi.org/10.5194/egusphere-egu26-3390, 2026.

EGU26-3488 | ECS | Posters on site | BG1.11

Evolutionary adaptation of soil microbial communities to climate change 

Mathilde Bourreau, Elsa Abs, and Alexander Chase

Recent theory suggests that the evolutionary adaptation of soil microbial communities to climate change could significantly aggravate the currently predicted  global soil carbon loss in response to global warming through the selection of gene variants affecting carbon-cycling traits (e.g. respiration, decomposition or secondary metabolites production).

However, empirical evidence is still lacking to quantify the rate and magnitude of evolutionary changes in carbon-cycling traits across bacterial functional groups. This gap limits the integration of microbial evolutionary responses into carbon biogeochemical models.

We analysed long-term (10 years) high throughput metagenomic time series from two global change experiments: the SPRUCE peatland experiment (warming and elevated CO₂) and the Loma Ridge grassland drought experiment. We combined classical metagenomic analyses (read alignment, SNP detection) with collapsing gene-level variation into functional trait categories.

Focusing on the most abundant Metagenomes Assembled Genomes (MAGs), e.g. Acidocella sp., (> 10X and 50% of coverage), we identified genes showing signs of adaptive evolution associated with carbon-cycling traits, revealing which traits exhibit the strongest evolutionary responses under climate-change treatments such as traits involved in cellulose degradation.

These results provide a framework to link metagenomic time series with process-based carbon models by defining empirical-based evolutionary markers of climate-change response, enabling the explicit inclusion of microbial evolutionary dynamics in global carbon models such as ORCHIDEE.

How to cite: Bourreau, M., Abs, E., and Chase, A.: Evolutionary adaptation of soil microbial communities to climate change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3488, https://doi.org/10.5194/egusphere-egu26-3488, 2026.

EGU26-3509 | ECS | Posters on site | BG1.11

Mapping global functional diversity of soil microbes using metagenomics data 

Elisa Richard and Elsa Abs

Soil microorganisms play a critical role in global carbon fluxes and shape local biogeochemical cycles through their vast functional diversity, yet it remains unclear how this diversity influences soil carbon fluxes at the global scale.  For example, unlike plants, which are almost uniformly autotrophic, microbial communities encompass a wide range of substrate use : however, current models lack a simplified, yet representative framework to capture this functional diversity, limiting our ability to accurately predict biogeochemical cycling in a changing climate.

To address this, we propose a trait-based microbial functional classification that leverages the growing availability of metagenomic data. Using the microTrait tool, we analyze trait information from a global database of 40,000 metagenome-assembled genomes (MAGs) to compare several clustering methods with multiple quality metrics, and define ecologically meaningful functional groups.

By backmapping MAGs to their original metagenome, we obtain relative abundance data, allowing us to examine how microbial community composition varies across environmental gradients of soil, climatic and biotic parameters. Our analysis reveals some associations between community structure and environmental parameters, suggesting that integrating microbial functional traits into soil models could improve biogeochemical predictions.

How to cite: Richard, E. and Abs, E.: Mapping global functional diversity of soil microbes using metagenomics data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3509, https://doi.org/10.5194/egusphere-egu26-3509, 2026.

 

Soil microbial communities control the fate of the largest terrestrial organic carbon pool, and their decomposition and respiration dynamics are pivotal for predicting future climate feedbacks. Community diversity, functional complexity, and adaptive responses may substantially reshape projections of the global carbon cycle.

Yet, most microbial-explicit soil biogeochemical models rely on simplified communities with static traits (e.g. growth and respiration). Approaches that incorporate microbial diversity and evolutionary processes remain largely theoretical and poorly constrained by empirical diversity and geochemical measurements, limiting their applicability in Earth system model predictions.

Here, we bridge this gap by fitting microbial community adaptation to warming using a genomics-informed, agent-based microbial model (DEMENT). We develop a framework to parameterize realistic microbial communities from metagenome-assembled genomes (MAGs), capturing taxon-specific traits related to enzyme production, resource uptake, and carbon allocation. Using long-term soil warming experiments at the Harvard Forest LTER site as a case study, we explicitly simulate the temporal dynamics of microbial community composition, respiration, and organic matter degradation under warming. We evaluate alternative evolutionary scenarios of microbial adaptation; targeting resource acquisition, growth yield, and stress responses; and identify the scenario that best reproduces observed diversity patterns as well as post-adaptation growth and respiration responses across temperature gradients.

This approach enables the identification of evolutionary pathways underlying microbial community responses to warming and provides a critical foundation for integrating adaptive microbial processes into next-generation Earth system models.

How to cite: Cortier, T. and Abs, E.: Fitting microbial community adaptation of respiration and growth to warming using a genomics-informed agent-based model, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3520, https://doi.org/10.5194/egusphere-egu26-3520, 2026.

EGU26-3995 | ECS | Orals | BG1.11

Eco-evolutionary optimization in soil organic matter models 

Erik Schwarz, Elsa Abs, Arjun Chakrawal, Luciana Chavez Rodriguez, Pierre Quévreux, Thomas Reitz, and Stefano Manzoni

Turnover of soil organic matter (SOM) by microbes is an important step in the soil carbon cycle. As microbes are living organisms that interact with their environment and one another, microbial communities are not static but can adapt to various conditions through changes in functional traits. Such adaptation of microbial functional traits can affect the fate of soil organic carbon. However, current microbial-explicit models commonly do not represent such eco-evolutionary dynamics, but treat microbes more akin to inanimate engines or chemical compartments. Eco-evolutionary optimization (EEO) approaches aim to abstract from the complexity of different ecological and evolutionary adaptation mechanisms by assuming that for given conditions, the microbial community might be dominated by those organisms with functional traits that would maximize fitness under these conditions. Different fitness proxies have been used in the literature – but a general framework for EEO approaches in SOM modeling is missing. Based on a review of previous studies, we suggest a classification of EEO approaches in SOM models based on the definition of microbial fitness and the time scale of optimization. Results from different EEO approaches differ systematically along the axes of our classification framework – however, they can also yield convergent qualitative patterns that match experimental observations. Taken together, our results show that EEO approaches have great potential for advancing SOM modeling. Yet, challenges remain – calling especially for further comparative studies and empirical validation of different approaches.

How to cite: Schwarz, E., Abs, E., Chakrawal, A., Chavez Rodriguez, L., Quévreux, P., Reitz, T., and Manzoni, S.: Eco-evolutionary optimization in soil organic matter models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3995, https://doi.org/10.5194/egusphere-egu26-3995, 2026.

EGU26-4785 | ECS | Orals | BG1.11

Widespread pre-noon photosynthesis peak driven by afternoon photoprotection 

Liyao Yu and Xiangzhong Luo

Diurnal patterns of photosynthesis of ecosystems are theoretically expected to mimic those of incoming solar radiation (SW) and peaks at noon. By examining global ecosystem eddy covariance observations, however, we found ecosystem photosynthesis often peaks before noon, indicating widespread midday or afternoon photosynthesis depression. While some studies have attributed this depression to stomatal closure, a strategy that limits water loss under high atmospheric vapor pressure deficit (VPD), leaf-level studies suggest that excess light can trigger photoprotective responses and also cause the depression. Following the hypothesis, we studied the gaps between ecosystem carbon uptake peak and that of SW (0.48 ± 0.26 h), and found that the gaps advance increases with SW even on site-days characterized by the lowest VPD. Biomes receiving the highest SW, such as savannas and evergreen broadleaf forests, exhibit the largest gap between carbon uptake peak and SW peak. Together, these findings indicate that excess light is a key yet underappreciated driver of ecosystem-scale midday depression. Incorporating light-driven photoprotective processes into terrestrial carbon models may improve simulations of diurnal carbon fluxes.

How to cite: Yu, L. and Luo, X.: Widespread pre-noon photosynthesis peak driven by afternoon photoprotection, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4785, https://doi.org/10.5194/egusphere-egu26-4785, 2026.

EGU26-5586 | Orals | BG1.11

Darwinian adaptation of plankton in global ocean models 

Boris Sauterey, Olivier Torres, Olivier Aumont, Guillaume Le Gland, Pedro Cermeño, Sergio Vallina, and Laurent Bopp

Plankton communities are an essential component of ocean biogeochemistry and play a key role in making oceans an important climatic buffer. In the oceans, the environmental control of planktonic activity is modulated by the composition and diversity of plankton physiological traits (e.g., size, temperature and light preferences, stoichiometry, etc.). Yet, very little is known about how plankton communities assemble in the ocean under the combined influence of biological (eco-evolutionary dynamics) and physical mechanisms (mixing, transport). Moreover, this key process is very crudely represented for in current ocean models. Here, I show how integrating Darwinian adaptation into ocean models allows simulating how the functional composition and diversity of plankton communities is shaped by adaptation and ocean physics, how it feeds back on ocean biogeochemistry, and what the implications are for the resilience of marine ecosystems under climate change. 

How to cite: Sauterey, B., Torres, O., Aumont, O., Le Gland, G., Cermeño, P., Vallina, S., and Bopp, L.: Darwinian adaptation of plankton in global ocean models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5586, https://doi.org/10.5194/egusphere-egu26-5586, 2026.

EGU26-5626 | ECS | Orals | BG1.11

Predicting forest dynamics and biomass production efficiency based on optimality principles 

Ruijie Ding, Sandy Harrison, and Iain Colin Prentice

Carbon (C) allocation refers to the processes by which plants distribute assimilated C among growth, storage, and respiration. While most ecosystem and land surface models explicitly represent C allocation, its treatment in many models remains rudimentary, reflecting a lack of consensus and limiting their ability to capture the processes governing C partitioning. A long-standing theory explains C allocation as maximizing growth, with foliage and below-ground investments balancing light, water and nutrients availability. However, the large C investment in tree stems does not contribute to primary production but reflects an evolutionary strategy to maximize light capture and competitive ability. Biomass production efficiency (BPE) quantifies the efficiency of assimilated C that is converted into structural growth. It reflects the balance between C gain by photosynthesis and C losses, principally autotrophic respiration (Ra). However, the controls on BPE remain poorly constrained, and even the sign of its response to growth temperature is unclear. Here we develop robust semi-empirical models of C allocation of forest dynamics, maximum tree height (Hm) and BPE in order to explore how C partitioning is influenced by the availability of different resources. We hypothesize that the demands of foliage production, and concomitant below-ground production to support that foliage, are satisfied with highest priority; and that any excess C (the net C profit, Pn) is allocated to stems in such a way as to maximize height growth, as a strategy for competitive fitness. Under this framework, the average diameter growth of a tree, and Hm, in an even-aged forest are shown to be proportional to Pn. We further show that BPE is shown to decrease with growth temperature (Tg), stand age, soil C:N ratio, pH and sand content, while increasing with mean temperature of the coldest month—resolving a contradiction in the literature, about its apparent response to mean annual temperature—and to be greater for deciduous than evergreen woody plants. These findings contribute to an optimality-based theoretical framework for improved process-based C allocation modelling in forest ecosystem models.

How to cite: Ding, R., Harrison, S., and Prentice, I. C.: Predicting forest dynamics and biomass production efficiency based on optimality principles, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5626, https://doi.org/10.5194/egusphere-egu26-5626, 2026.

EGU26-5781 | Orals | BG1.11

An eco-evolutionary approach to modelling wildfire regimes 

Sandy P. Harrison, Sophia Cain, Ruijie Ding, David Sandoval Calle, Boya Zhou, and I. Colin Prentice

Wildfires are ubiquitous and an integral part of the Earth System, vital for maintaining the biodiversity and functioning of many ecosystems. Wildfire-induced changes in vegetation and landscape properties also have important feedbacks to climate through modulating water- and energy-exchanges and the carbon cycle. The current state-of-the-art global models used to predict how wildfires might behave in a changing climate capture some aspects of wildfire behaviour, but are poor at simulating fire seasonality, interannual variability and extreme fires, in large part because they do not adequately capture the vegetation-wildfire interactions regulating fire occurrence. Eco-evolutionary optimality approaches are increasingly being used to provide simple but robust models of vegetation functioning, and here we extend this approach to modelling wildfires.

Fuel availability and fuel dryness are consistently shown to be the primary drivers of wildfire occurrence, intensity and burnt area. Differences in the timing of fuel build up and drying determine the optimal time for wildfire occurrence and give rise to pyroclimates with distinct wildfire regimes. The phase difference in the seasonal time course and magnitude of gross primary production (GPP) and vapour pressure deficit (VPD) is used to provide a measure of the “propensity to burn”, which in turn can be translated into a probability for fire occurrence. An EEO-based model of the seasonal cycle of GPP is then used to derive litter fall and hence the inputs to dead fuel loads along with an empirically based formulation of decomposition to determine changes in the actual dead fuel load through time. We use an EEO-based model of biomass production efficiency to derive tree and grass cover, where the grass cover and dead fuel load together will determine the incidence of ground fires and tree cover the incidence of crown fires. We show that this simple model produces realistic simulations of spatial and temporal patterns in wildfire occurrence, and thus provides a basis for simulating the impact of wildfires on vegetation loss, post-fire recovery and ultimately feedbacks to climate.

How to cite: Harrison, S. P., Cain, S., Ding, R., Sandoval Calle, D., Zhou, B., and Prentice, I. C.: An eco-evolutionary approach to modelling wildfire regimes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5781, https://doi.org/10.5194/egusphere-egu26-5781, 2026.

EGU26-5874 | ECS | Posters on site | BG1.11

Right answers for the wrong Reasons? Testing water use efficiency responses in terrestrial biosphere models 

David Sandoval, David Orme, and Iain Colin Prentice

Water-use efficiency (WUE) quantifies the ratio of CO₂ assimilation to transpiration, reflecting the trade-off between carbon gain and water loss. It therefore provides key information about ecosystems’ strategies for dealing with drought, as well as their responses and feedbacks to climate. From an optimality perspective, a robust theory to predict WUE is fundamental for exploring potential adaptations, shifts in vegetation communities, or migration, especially under future scenarios.

Global estimates of WUE, generated by terrestrial biosphere models (TBMs), typically evaluate the accuracy of their predictions using observed fluxes. However, these evaluations often overlook whether the simulated sensitivity of fluxes to environmental drivers matches observed sensitivities, possibly covering flaws in the underlying theory, allowing models to produce “right answers for the wrong reasons”.

Here, we assess the sensitivity of WUE simulated by the TRENDY models to environmental variables and compare them against sensitivities inferred from δ¹³C isotopes and state-of-the-art remotely sensed datasets derived from machine learning. We found qualitative disagreements (opposite signs) in the sensitivity coefficients of WUE to environmental variables, highlighting gaps in the current theoretical understanding of ecosystem functioning.

How to cite: Sandoval, D., Orme, D., and Prentice, I. C.: Right answers for the wrong Reasons? Testing water use efficiency responses in terrestrial biosphere models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5874, https://doi.org/10.5194/egusphere-egu26-5874, 2026.

EGU26-6181 | ECS | Posters on site | BG1.11

Microstructural determinants of mechanical properties in exoskeletons: a comparison between hydrothermal vent crab and ghost crab 

Junyoung Hong, Boongho Cho, Dain Kim, Sook-Jin Jang, Minho Kang, Sungkook Yoon, and Taewon Kim

The exoskeleton of crabs serves functions in protection, support, and sensing. Among the microstructures that compose the exoskeleton, the Bouligand structure is known to contribute to its mechanical properties. Previous research on the influence of microstructures on the mechanical properties of the crustacean exoskeleton has primarily focused on stacking height (SH), yet it remained controversial whether SH is the dominant determining factor of the mechanical properties. In this study, we comprehensively analyzed the pitch angle, diameter of the chitin-protein fiber, and the interlamellar spacing in the Bouligand structure to compare their contribution to the mechanical properties. We found that in vent crabs, the carapace was harder than the claw, while the opposite was observed in ghost crabs. In vent crabs, SH was 1.95 times greater than in the claw, a difference likely attributable to the pitch angle-the only microstructural feature that varied. In contrast, no structural differences were detected between regions in ghost crabs, where SH was extremely small (< 1 μm) and thus mechanical properties appear to be governed by material characteristics rather than structure. These findings indicate that pitch angle influences the mechanical properties of the crab exoskeleton only when SH is sufficiently large.

How to cite: Hong, J., Cho, B., Kim, D., Jang, S.-J., Kang, M., Yoon, S., and Kim, T.: Microstructural determinants of mechanical properties in exoskeletons: a comparison between hydrothermal vent crab and ghost crab, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6181, https://doi.org/10.5194/egusphere-egu26-6181, 2026.

EGU26-6247 | ECS | Orals | BG1.11

Heat Stress-Driven Shifts in Marine Phytoplankton Trait Composition in a Global Ocean-Biogeochemical Model  

Hyojeong Kim, Hajoon Song, Stephanie Dutkiewicz, Junwoo Lee, Ibrahim Hoteit, and Yixin Wang

Marine heatwaves (MHWs) are becoming more frequent, intense, and prolonged, posing increasing threats to marine ecosystems, including phytoplankton communities. Yet, understanding the impacts of MHWs on phytoplankton community structure remains challenging, given the limited number of observational and process-resolving modeling studies. Here, we develop a modeling framework using an advanced coupled ocean–biogeochemical model (MITgcm–Darwin), in which biogeochemical processes for 310 types of phytoplankton are explicitly resolved. In this model, 310 types are defined by different combinations of key traits: 14 size classes, 10 temperature preferences, and 8 ecological functions. We find an overall shift in phytoplankton composition toward small and warm-preferring types during MHWs. However, detailed features differ substantially across regions and traits. For example, in the tropical Pacific Ocean, the magnitude of shifts tends to increase with heatwave intensity, for both size and temperature traits. A moderate influence of the duration on the temperature trait is also found. In the Indian Ocean, on the other hand, heatwave intensity is the primary factor that affects size composition, while no significant shifts in temperature preference are detected. For both regions, these composition shifts are accompanied by significant losses in biodiversity, reflected in decreased richness and evenness. These results indicate that even short-term climatic extremes can substantially disrupt phytoplankton communities, with potential increasing consequences for marine food webs and ecosystem functioning that depend on phytoplankton as such perturbations intensify.

How to cite: Kim, H., Song, H., Dutkiewicz, S., Lee, J., Hoteit, I., and Wang, Y.: Heat Stress-Driven Shifts in Marine Phytoplankton Trait Composition in a Global Ocean-Biogeochemical Model , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6247, https://doi.org/10.5194/egusphere-egu26-6247, 2026.

Mesoscale eddies are key oceanographic features influencing zooplankton community structure and ecosystem function. However, the vertical impacts of cyclonic and anticyclonic eddies on zooplankton energy transfer efficiency remain unclear in the northern South China Sea (SCS). We conducted a field survey in April 2023, collecting zooplankton samples with a multi-net system and analyzing them via ZooScan imaging technology. Size-based and trophic indicators—including the normalized biovolume size spectrum (NBSS), size diversity, and average equivalent spherical diameter (ESD)—were used to assess energy transfer efficiency across depth layers and eddy types. Results indicated significantly higher zooplankton total abundance, biovolume, and carbon biomass within cyclonic eddies (mean ± SD: 93.2 ± 25.7 ind./m3, 45.4±20.9 mm3/m3, 2.9±1.5 mg C/m3) compared to anticyclonic eddies (mean ± SD: 82.2±23.0 ind./m3, 37.8±14.0 mm3/m3, 2.4±0.9 mg C/m3) in the upper 300 m. Small copepods dominated all depth layers in both eddy types, comprising over 70% of the total abundance. Functional indicators, including the NBSS slope, size diversity, and average ESD, indicated higher energy transfer efficiency in cyclonic eddies within the upper 300 m. However, at the 0–25 m depth layers, anticyclonic eddies exhibited flatter NBSS slopes and higher size diversity than cyclonic eddies. Zooplankton productivity declined consistently with depth, while energy transfer efficiency to higher trophic levels showed a fluctuating vertical pattern and tended to rebound in deeper layers. Our findings highlight the crucial role of mesoscale eddy dynamics in structuring zooplankton communities and regulating energy flow in pelagic ecosystems of the northern SCS.

How to cite: Wang, S., Zhang, F., Chi, X., Li, Q., Zang, W., and Sun, S.: Zooplankton Size Structure and Energy Transfer Characteristics  under the Influence of Mesoscale Eddies in the Northern South China Sea during Spring: Insights from ZooScan Imaging , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6255, https://doi.org/10.5194/egusphere-egu26-6255, 2026.

Earth system models (ESMs) represent the pinnacle of our ability to understand and predict Earth system dynamics, and are constructed from submodels that should capture the processes and process interactions occurring in the atmosphere, oceans, on land. One microbial parameter that defines key feedbacks in the Earth system is the microbial temperature dependence, e.g. for decomposition. Submodules within past (e.g. CENTURY, Roth-C) and future (Millennial, MEMS) ESMs represent this with one intrinsic temperature dependence for decomposition, and extending this static temperature dependence (i.e., unchanging) to all microbial processes (organic matter formation or destruction, etc.) and assuming no differences among climates across the globe.

 

Global microbial diversity has been mapped with -omics, revealing incredibly diverse, versatile and biogeochemically active microbes. However, the central challenge stubbornly persists – translating microbial diversity into quantitative representations that capture ecosystem processes. This inability forms a barrier for integration of microbial ecology into ESMs.

 

We use instantaneous measurements of microbial processes to estimate microbial intrinsic temperature dependences as “trait distributions” in situ, in environmental samples. We can thus translate biodiversity into ecosystem functions, and generate mathematical descriptions that interface with ESMs. We have uncovered how intrinsic microbial temperature dependences for processes that form (growth) and destroy (decomposition) organic matter vary across the globe, across seasons, and respond to warming. We have unearthed how temperature trait distributions interact with those for moisture, and determined the ecological and evolutionary mechanisms underpinning change. Our insights can be integrated into existing ESMs, revealing that dynamic microbial feedbacks characterise the earth system.

How to cite: Rousk, J.: Solving the microbial temperature problem in Earth system science, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6873, https://doi.org/10.5194/egusphere-egu26-6873, 2026.

EGU26-7161 | ECS | Posters on site | BG1.11

Spatially varying parameters improve carbon cycle modeling in the Amazon rainforest 

Lei Zhu, Philippe Ciais, Yitong Yao, Daniel Goll, Sebastiaan Luyssaert, Isabel Martínez Cano, Arthur Fendrich, Laurent Li, Hui Yang, Sassan Saatchi, Ricardo Dalagnol, and Wei Li

Uncertainty in the dynamics of Amazon rainforest poses a critical challenge for accurately modeling the global carbon cycle. Current dynamic global vegetation models (DGVMs), which use one or two plant functional types for tropical rainforests, fail to capture observed biomass and mortality gradients in this region, raising concerns about their ability to predict forest responses to global change drivers. Here we assess the importance of spatially varying parameters to resolve ecosystem spatial heterogeneity in the ORCHIDEE (ORganizing Carbon and Hydrology in Dynamic EcosystEms) DGVM. Using satellite observations of tree aboveground biomass (AGB), gross primary productivity (GPP), and biomass mortality rates, we optimized two key parameters: the alpha self-thinning (α), which controls tree mortality induced by light competition, and the nitrogen use efficiency of photosynthesis (η), which regulates GPP. The model incorporating spatially optimized α and η parameters successfully reproduces the spatial variability of AGB (R2=0.82), GPP (R2=0.79), and biomass mortality rates (R2=0.73) when compared to remote sensing observations in intact Amazon rainforests, whereas the model using spatially constant parameters has R2 values lower than 0.04 for all observations. Furthermore, the relationships between the optimized parameters and ecosystem traits, as well as climate variables were evaluated using random forest regression. We found that wood density emerges as the most important determinant of α, which is in line with existing theory, while water deficit conditions significantly impact η. This study presents an efficient and accurate approach to enhancing the simulation of Amazonian carbon pools and fluxes in DGVMs by assimilating existing observational data, offering valuable insights for future model development and parameterization.

How to cite: Zhu, L., Ciais, P., Yao, Y., Goll, D., Luyssaert, S., Martínez Cano, I., Fendrich, A., Li, L., Yang, H., Saatchi, S., Dalagnol, R., and Li, W.: Spatially varying parameters improve carbon cycle modeling in the Amazon rainforest, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7161, https://doi.org/10.5194/egusphere-egu26-7161, 2026.

EGU26-7805 | ECS | Posters on site | BG1.11

Reconstructing the Strength of Photosynthetic Endosymbiosis in Caribbean Corals before the Closure of the Isthmus of Panama 

Julia Schröder, Jonathan Jung, Ian Martongelli, Aaron O´Dea, James Klaus, Eberhard Gischler, Hubert Vonhof, Daniel M. Sigman, Thomas Brachert, Gerald H. Haug, and Alfredo Martinez-Garcia

Coral reef ecosystems are highly sensitive to environmental change, and their long-term persistence depends in part on flexible feeding strategies and symbiotic associations. A well-documented example of a major environmental perturbation is the progressive closure of the Isthmus of Panama during the Pliocene epoch (ca. 4.6–4.1 Ma), which initiated the transformation of the Caribbean Sea from a relatively nutrient-rich to a more oligotrophic marine environment. This reorganization imposed strong selective pressures on reef organisms, particularly corals, to adapt to declining nutrient availability.

Fossil records indicate that many modern Caribbean coral taxa originated before the Pliocene–Pleistocene transition. It remains unclear whether these species had already developed strong host-endosymbiont nutrient coupling prior to the closure of the Isthmus or whether these traits evolved in response to it. Here, we investigate this question by analyzing stable isotope records from fossil corals spanning the Late Miocene to the present in the Caribbean Sea. Coral-bound nitrogen isotope ratios (CB-δ15N) are used to infer changes in internal nitrogen recycling and host-endosymbiont coupling, while coral-bound oxygen isotope ratios (CB-δ18O) provide constraints on past seawater temperatures.

We hypothesize that many coral lineages had already developed tighter host-endosymbiont nutrient coupling before the Isthmus closure, and that species with intermediate levels of symbiosis facilitated adaption to more oligotrophic condition. This pre-adaptation may explain both the successful establishment of the modern Caribbean coral fauna after the closure and its present-day vulnerability to rapid anthropogenic stressors such as warming and nutrient pollution. By placing modern reef ecology in an evolutionary and paleoenvironmental context, this study aims to improve our understanding of coral resilience and inform future conservation strategies.

How to cite: Schröder, J., Jung, J., Martongelli, I., O´Dea, A., Klaus, J., Gischler, E., Vonhof, H., Sigman, D. M., Brachert, T., Haug, G. H., and Martinez-Garcia, A.: Reconstructing the Strength of Photosynthetic Endosymbiosis in Caribbean Corals before the Closure of the Isthmus of Panama, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7805, https://doi.org/10.5194/egusphere-egu26-7805, 2026.

Soil represents the largest terrestrial carbon sink, with a substantial fraction stored in subsoils. Microbial functional diversity regulates ecosystem carbon cycling, yet how microbial traits vary with soil depth and landscape transitions remain poorly understood.  This knowledge gap is particularly relevant in coastal environments, where hydrologic and biogeochemical gradients impose strong selective pressures on microbial metabolism. We investigated microbial functional diversity and carbon utilization patterns across a coastal forest–salt marsh gradient, with a specific focus on depth-resolved trait expression and biogeochemical consequences. Monthly in situ porewater sampling was conducted across forest, wetland, and creek environments, from surface soils to subsurface layers. Porewater chemistry (pH, redox potential, electrical conductivity, dissolved organic carbon, DOC) was monitored to characterize environmental and biogeochemical gradients. Microbial carbon utilization patterns and functional diversity were assessed using Biolog EcoPlates, and key extracellular enzyme activities (β-glucosidase and phosphatase) were measured to evaluate microbial activity. DOC concentration increased from forest to wetland soils, accompanied by shifts in microbial functional traits. Forest soils, wetland surface layers and creek samples supported higher microbial diversity, whereas wetland deep layers retained a strong metabolic capacity for processing complex organic carbon substrates, indicating functional specialization under persistent anoxic and saline conditions. Deep layers showed measurable enzyme activities, indicating active microbial carbon turnover. These findings demonstrate that microbial functional diversity varies across both depth and landscape gradients, with implications for carbon transformation and storage in coastal ecosystems.

How to cite: Liu, Y. and Jin, Y.: Depth-Resolved Microbial Functional Diversity and Carbon Utilization Across a Forest–Wetland Gradient, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8315, https://doi.org/10.5194/egusphere-egu26-8315, 2026.

EGU26-9721 | Posters on site | BG1.11

Including microbial communities in soil carbon-nitrogen cycling modeling via a hybrid neural-mechanistic modeling approach 

Lorenzo Menichetti, Elisa Bruni, Bernhardt Ahrens, Leo Rossdeutscher, and Jorge Curiel-Juste

A recurring challenge in ecosystem science is modeling the variance of biogeochemical process rates in connection with local microbial community composition. Mechanistic models usually relies on fixed parameters that ignore such ecological variations. Purely statistical approaches require extensive data and, lacking process-based information, often overfit to training conditions, limiting their ability to generalize. We present here a hybrid modeling framework that combines these approaches, allowing mechanistic biogeochemical models to adapt their parameters based on local microbial community structure.

Our approach uses neural networks to translate microbial community composition (bacterial and fungal taxonomic data) into site-specific key parameters in a mechanistic carbon-nitrogen cycling equations. Since these intermediate parameters likely capture multiple processes, we view them as functional parameters that allow the mechanistic model to flexibly incorporate the variance of decomposition rates due to local microbial communities, while still maintaining the interpretable structure of process-based equations and retaining the deterministic information for the processes we know how to model.

The innovation lies in including community composition from sequencing directly as a driver of parameter variation within established biogeochemical theory, preserving information that would otherwise be lost (for example assembling the sequencing data into diversity indicators). Literature-derived constraints ensure parameters remain within physically plausible ranges, but the neural components learns how microbial community structure modulates these values locally to improve predictions.

This methodological framework demonstrates that we can link communities with decomposition processes without requiring a complete mechanistic understanding (with consequent biases due to likely missing processes) of every intermediate step. This approach is broadly applicable, solving the difficulties coming from knowing that functional diversity influences biogeochemical processes but with an incomplete understanding of all the underlying mechanistic complexity, embedding the paradigm of soil decomposition kinetics as emergent ecological properties rather than as fixed intrinsic characteristics.

How to cite: Menichetti, L., Bruni, E., Ahrens, B., Rossdeutscher, L., and Curiel-Juste, J.: Including microbial communities in soil carbon-nitrogen cycling modeling via a hybrid neural-mechanistic modeling approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9721, https://doi.org/10.5194/egusphere-egu26-9721, 2026.

EGU26-10585 | ECS | Posters on site | BG1.11

Subglacial and proglacial microbial communities in glacial rock flour of the Mont Blanc Massif 

Kara Sampsell, Klara Köhler, Francesca Schivalocchi, Ekaterina Diadkina, Hervé Denis, Bastien Wild, Timothy M. Vogel, and Catherine Larose

As alpine glaciers recede with global warming, proglacial forefields expand, and the processes of soil development take hold. The ecosystem transition toward greening is thought to be initiated by microorganisms that exert biotic weathering forces and accumulate carbon and nitrogen. A portion of the glacial sediments involved in this transition are classified as glacial rock flour. Glacial rock flour’s small particle size and large surface area suggest that it may offer a preferrable habitat and source of inorganic nutrients for microorganisms. However, microbial communities in glacial rock flour have yet to be reported. To investigate the microbial communities that colonize glacial rock flour, deposits were sampled near the melt streams of Mer de Glace and Glacier d’Argentière (Mont Blanc Massif, France). These glaciers flow over largely granitic bedrock. At both sites, three sampling points were selected with increasing distance from the glacier. At Glacier d’Argentière, three subglacial samples were collected off the basal ice surface. We hypothesized that characteristics of the glacial rock flour, such as median grain size or sampling distance from the glacier, would influence alpha diversity and abundance of the prokaryotic community. Laser particle size analysis, X-ray Diffraction (XRD), and geochemical extractions were completed to characterise the material. Quantitative polymerase chain reaction (qPCR) targeting the 16S rRNA gene and metabarcoding of the v3-v4 region of the 16S rRNA gene (rrs) were completed on DNA extracts to estimate prokaryotic abundance, probe taxonomic differences, and compute alpha diversity indices. A prokaryotic community was detected in all samples with a negative correlation evident between median particle size and prokaryotic abundance. Prokaryotic alpha diversity indices (Chao1, Shannon, Simpson) suggest that subglacial alpha diversity is greater than proglacial forefield alpha diversity. However, prokaryotes were less abundant in subglacial samples compared to proglacial samples. These results represent the first report of microbial communities in subglacial and proglacial glacial rock flour sediment.

How to cite: Sampsell, K., Köhler, K., Schivalocchi, F., Diadkina, E., Denis, H., Wild, B., Vogel, T. M., and Larose, C.: Subglacial and proglacial microbial communities in glacial rock flour of the Mont Blanc Massif, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10585, https://doi.org/10.5194/egusphere-egu26-10585, 2026.

EGU26-11046 | ECS | Posters on site | BG1.11

Spatial modelling of soil microbial interactions and the emergence of purely spatial interactions 

Julie-Maï Paris, Xavier Raynaud, and Naoise Nunan

A large diversity of microorganisms lives in soils where they transform the available organic matter, and store or release into the atmosphere the carbon it contains. Individual cells of the same or different species interact together in metabolic networks, i.e. networks of interactions ranging from competition for a same resource to cooperation with an exchange of resources. Because soil is a very heterogeneous environment, these interactions are limited by the local presence of resources and species. Therefore, all the theoretically possible interactions are not realized in practice. Understanding the impact of spatial heterogeneity on soil metabolic networks is essential to improve our comprehension of the carbon cycle in soils. However, it remains very difficult today to study spatial heterogeneity and metabolic networks in situ.  
  
Here, we present a numerical model we developed to study the impact of microbial spatial distributions on metabolic networks. Our model is spatially explicit and individual based. Each cell has a spatially limited impact on its environment, in which it is able to take up some resources and transform them into other products, which are then released into the environment and can be used by other cells.  
  
In this work, we explore the emergence of a type of interaction that only arise when spatial heterogeneity is taken into account, the eclipse dilemma (a concept first developed in Metabolic Resource Allocation in Individual Microbes Determines Ecosystem Interactions and Spatial Dynamics, Harcombe et al., 2014): in some spatial configurations, two individuals competing for the same resource can eventually enter a cooperating dynamic by providing to a common partner species with which they exchange resources.  We have found that while competition for the same resource reduces the average amount of resource that each individual can obtain due to sharing, cooperation with a common partner can lead to a local increase in available resources that can exceed the effect of competition. Those local increases in variability of metabolic interactions showed that spatialization in soil models is indeed essential to a proper microbial representation in models.

How to cite: Paris, J.-M., Raynaud, X., and Nunan, N.: Spatial modelling of soil microbial interactions and the emergence of purely spatial interactions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11046, https://doi.org/10.5194/egusphere-egu26-11046, 2026.

EGU26-11414 | ECS | Posters on site | BG1.11

Separating stomatal and non-stomatal responses of gross primary productivity to soil moisture 

Mengdi Gao, David Sandoval, and Iain Colin Prentice

Soil moisture is a major constraint on terrestrial gross primary productivity (GPP). In this study, we propose and test two hypotheses to explain how soil moisture limits carbon uptake: 1) plants reduce stomatal conductance around midday to conserve water, leading to a temporary decline in internal CO₂ concentration and photosynthesis; and 2) water stress causes a more general reduction in photosynthetic capacity, expressed as a decrease in the quantum efficiency of photosynthesis (φ₀), thereby lowering GPP throughout the day. Here, we combine Eco-Evolutionary Optimality (EEO) Theory with eddy covariance observations to separate and quantify stomatal and non-stomatal responses of GPP to soil moisture. Our results show that both midday stomatal closure and photosynthetic capacity suppression coexist, supporting both hypotheses, with their relative importance strongly modulated by soil moisture. Across most sites, the magnitude of midday GPP depression weakens with increasing soil moisture, indicating that stomatal responses are more sensitive under low soil moisture conditions. In addition, photosynthetic capacity increases with soil moisture, contributing to an overall enhancement of daily GPP. By explicitly separating stomatal and non-stomatal pathways through which soil moisture affects carbon uptake, this study provides a mechanistic explanation for the more conservative water use strategies observed in plants from dry climates and improves the representation of diurnal GPP dynamics in water-limited ecosystems.

How to cite: Gao, M., Sandoval, D., and Prentice, I. C.: Separating stomatal and non-stomatal responses of gross primary productivity to soil moisture, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11414, https://doi.org/10.5194/egusphere-egu26-11414, 2026.

EGU26-11850 | ECS | Posters on site | BG1.11

Exploring the potential of soil metabolic and microbial composition in predicting ecosystem functions across biomes and land use types. 

Thomas Guzman, Samuel Mondy, Aurore Kaisermann, Sam P. Jones, Joana Sauze, Evert van Scheik, Steven Wohl, Karen Marcellin, Pierre Petriacq, Jérôme Ogée, and Lisa Wingate

Soils support a wide range of ecosystem functions and services, including climate regulation, nutrient cycling and carbon sequestration. Most of these functions are strongly impacted by a large diversity of microorganisms hosted in soil (e.g., bacteria, fungi) which are increasingly threatened by human-induced global change factors such as climate warming or land-use change. A deep understanding of how microbial communities function is thus crucial to evaluate how they influence ecosystem services but also how anthropogenic perturbation may affects soil quality and the delivery of these services. While great efforts have been made to evaluate the relationships between microbial diversity and ecosystem functions, much less attention has been paid to the metabolomic profiling of soil microbial communities. However, recent advances in mass spectrometry and big data processing now allow us to measure hundreds of known and unknown metabolite features constituting the soil metabolome, which can mirror the key biological processes occurring below-ground, and present an important opportunity to better understand the microbial characteristics and metabolic pathways driving soil ecosystem functions.

In this study, soil metabolic profiles and microbial communities were explored on 25 European soils from different biomes and land use types alongside soil physical and chemical measurements in order 1) to characterise soil metabolomes across a large range of soil types, 2) to investigate the links between soil microbial communities and associated metabolic profiles, and 3) to evaluate the potential of soil metabolomics to predict ecosystem functions such as soil gas exchange.

Soil metabolic profiles were screened using UHPLC-LTQ-Orbitrap mass spectrometry (LC-MS) and showed a strong gradient across sites alongside bacterial and fungal community shifts characterised using metabarcoding. The ability of soil metabolic profiles and microbial communities to predict soil ecosystem functions was evaluated through machine learning models across biomes and the interconnection of a core set of metabolic features and microbial genus was further investigated to deepen our understanding of the potential mechanisms and microbial communities involved.

How to cite: Guzman, T., Mondy, S., Kaisermann, A., Jones, S. P., Sauze, J., van Scheik, E., Wohl, S., Marcellin, K., Petriacq, P., Ogée, J., and Wingate, L.: Exploring the potential of soil metabolic and microbial composition in predicting ecosystem functions across biomes and land use types., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11850, https://doi.org/10.5194/egusphere-egu26-11850, 2026.

EGU26-12325 | Orals | BG1.11

Functional diversity in motion: a general theory of eco-evolutionary change in complex ecosystems 

Jaideep Joshi, Toyo Vignal, and Ulf Dieckmann

Most ecosystems are characterized by a rich and dynamic landscape of functional diversity. Ecological interactions that drive biodiversity and adaptation are profoundly complex — they arise from fine‐scale variation in organismal traits, unfold across ecological and evolutionary timescales, and operate within dynamic ever-changing environments. An individual’s performance, and thus its contribution to community structure and ecosystem functioning, emerges from the following key factors: (1) its physiological state (such as size, age, or energy reserves), (2) its capacity to acclimate to short-term microclimatic changes, (3) trait-mediated trade-offs it faces in growth and survival, (4) the traits and states of other organisms in the community, and (5) the long-term abiotic environment which itself may be co-created by the population. To understand how functional diversity is filtered and reshaped by these processes, we need a theory that can play out long-term eco-evolutionary dynamics of ecosystems while incorporating realistic ecological complexity. 

Here, we introduce a unified trait-based eco-evolutionary framework that meets this challenge by explicitly integrating three core features of real ecosystems: (1) continuous physiological state structure, (2) intraspecific and interspecific trait variation, and (3) frequency-dependent selection driven by population–environment feedbacks. The framework can be coupled to trait-based eco-physiological models of individual performance, allowing short-term acclimation and long-term evolution to be treated within a single, coherent system. This makes it possible to predict the best-adapted trait combinations under different environments, to test whether physiological trade-offs encoded in models are consistent with observed trait distributions along environmental gradients, and to project how those distributions will shift under future short- and long-term environmental change. At the same time, the approach provides a scalable alternative to computationally intensive individual-based models while retaining key sources of ecological and evolutionary complexity.

We apply this framework to predict plant hydraulic strategies across environmental gradients by coupling it with the Plant-FATE model, which accounts for physiological acclimation of individuals and trait-size-structured vegetation demographics of populations. The theory predicts that, all else being equal, plants evolve more negative xylem vulnerability (P50) in drier environments, matching broad empirical patterns across real ecosystems. This agreement provides an evolutionarily grounded validation of the functional trade-offs embedded in plant physiology and enables robust forecasts of how trait distributions — and their biogeochemical implications — are likely to respond to ongoing environmental change.

How to cite: Joshi, J., Vignal, T., and Dieckmann, U.: Functional diversity in motion: a general theory of eco-evolutionary change in complex ecosystems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12325, https://doi.org/10.5194/egusphere-egu26-12325, 2026.

Bryophytes and lichens in permafrost regions act as a natural insulation cover and thus cool underlying soil layers due to their porous, air-filled structure. The retained water content varies in response to evapotranspiration and freeze-thaw transitions, thereby modulating the insulation effects. Climate change is driving alterations in functional diversity of these highly sensitive non-vascular vegetation communities. Shifts in functional traits are closely linked to height and water retention capacity, thus the insulating properties, of the bryophyte and lichen layer. However, it is largely unclear how changes in functional diversity of non-vascular vegetation will affect soil temperature. Yet this gap may be addressed by trait-based models that simulate the mutual interaction between biodiversity and soil state.

This study focuses on bryophyte and lichen vegetation in high-latitude permafrost ecosystems, aiming to: (1) quantify their insulation effects on soil temperature under long-term climate change, and (2) clarify the underlying mechanisms by which functional diversity modulates the insulation effects. To this end, we refine the permafrost processes within the trait- and process- based LiBry model to accurately capture the coupled states of soil and diversity. Model experiments to isolate effects of bryophyte and lichen vegetation are implemented to determine their contribution to soil temperature variations. We further drive the model with a gradient of climate and diversity scenarios to reveal the relationships between distribution of functional traits and insulation effects. Our findings contribute to a more comprehensive understanding of the impacts of functional diversity on key permafrost processes in data-scarce contexts. 

How to cite: Zhu, Y. and Porada, P.: Uncover the link between functional trait diversity and thermal insulation effects of bryophytes and lichens in permafrost regions: Insights from a processed-based model, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12845, https://doi.org/10.5194/egusphere-egu26-12845, 2026.

EGU26-13111 | ECS | Orals | BG1.11

Simulating Forest Carbon-Water Fluxes in Land Surface Models through Eco-Evolutionary Optimality Principles 

Jialiang Zhou, Nuno Carvalhais, Anke Hildebrandt, Sujan Koirala, and Shijie Jiang

Reliable simulation of carbon and water fluxes in forest ecosystems is essential for understanding global energy, carbon, and water cycles, while it remains limited by the large number of poorly constrained parameters in land surface models, particularly in regions lacking flux observations. While model-data integration using satellite and eddy covariance data has improved performance, it does not resolve the fundamental problem of parameter identifiability.

Here, we use SINDBAD (Koirala et al., 2025), a model-data integration framework, to evaluate whether eco evolutionary optimality (EEO) principles can act as effective constraints on a coupled carbon water land surface model when flux observations are unavailable. Using 37 forest sites worldwide spanning 1979-2017, we compare three experiments that differ in the type of constraints applied, i.e., vegetation structure only, vegetation structure plus flux observations, and vegetation structure plus EEO based constraints, to assess to what extent theoretical optimality principles can help even without direct flux information.

We find that vegetation structure alone is insufficient to reproduce observed carbon and water fluxes, especially at water limited sites. Incorporating EEO constraints leads to clear improvements in simulations of gross primary productivity, ecosystem respiration, and evapotranspiration under water limitation, while effects are weaker at energy limited sites. EEO constrained simulations also show more realistic sensitivities of fluxes to precipitation and temperature, in some cases exceeding those obtained when flux observations are directly assimilated.

These results suggest that eco evolutionary optimality principles can provide meaningful constraints on land surface models with high dimensional parameter spaces, reducing effective parameter uncertainty under data sparse conditions.

How to cite: Zhou, J., Carvalhais, N., Hildebrandt, A., Koirala, S., and Jiang, S.: Simulating Forest Carbon-Water Fluxes in Land Surface Models through Eco-Evolutionary Optimality Principles, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13111, https://doi.org/10.5194/egusphere-egu26-13111, 2026.

EGU26-13321 | Posters on site | BG1.11

A parsimonious and interpretable model of plant dimensional scaling 

Jaideep Joshi, Tina Garg, Florian Hofhansl, Boya Zhou, and Iain Colin Prentice

Accurate dimensional scaling is essential for translating forest inventory measurements of stem diameter and height into estimates of tree volume, biomass, and carbon stocks, which underpin ecosystem function. Most existing scaling approaches fall into three broad classes: empirical allometries, metabolic scaling theory, and physiologically inspired models such as the pipe model. While widely used, these frameworks typically operate at coarse spatial or taxonomic scales, rely on poorly interpretable parameters, and offer limited insight into how scaling relationships vary across species and environments.

A recent parsimonious model of plant dimensional scaling is the T model, which describes tree height and crown area as a function of basal diameter. It uses just three parameters, all of which are physiologically interpretable and directly measurable functional traits. These are: (1) the initial ratio of height to diameter, or stem slenderness, which affects initial height growth rate as diameter increases, (2) maximum tree height, which affects the later saturating part of the height-diameter scaling, and (3) initial ratio of crown area to sapwood area, which is similar to the pipe model and determines  the scaling of crown area with height and diameter.

Here, we combine measurements from Tallo, a large global dataset of individual tree measurements (spanning over 3000 species-site pairs) with high-resolution environmental data, to test and parameterize the T model for each species within each site. We show that: (1) The T model fits the data well, providing a parsimonious and interpretable model of plant dimensional scaling, (2) the estimated dimensional traits (i.e., the model parameters) show systematic variation across climatic gradients, suggesting an overall macroclimatic adaptation, (3) the traits exhibit substantial phenotypic plasticity, in that site-specific species-mean traits covary with environmental gradients in the same direction and magnitude as community-wide site-mean traits, (4) among coexisting species, especially in the tropics, the traits coordinate systematically with maximum height, reflecting adaptation to the light environment among different canopy strata. This systematic variation likely allows multiple trait combinations to achieve similar levels of species performance (or evolutionary fitness). Such 'functional equifinality' may provide a parsimonious explanation of biodiversity and species coexistence, complementing other known mechanisms such as niche partitioning and neutrality. 

How to cite: Joshi, J., Garg, T., Hofhansl, F., Zhou, B., and Prentice, I. C.: A parsimonious and interpretable model of plant dimensional scaling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13321, https://doi.org/10.5194/egusphere-egu26-13321, 2026.

EGU26-13459 | Orals | BG1.11

Fungi from land to sea: phenotypic plasticity drives functional adaptation across saline and non-saline habitats 

Tiziano Benocci, Asier Zaragoza, Mark Anthony, Federico Baltar, and Riccardo Baroncelli

Fungi are highly efficient degraders of organic matter, including recalcitrant compounds, and are therefore key recyclers in global biogeochemical cycles. While the vast majority of fungal diversity has been studied in terrestrial environments, marine fungi remain largely underexplored despite their ecological relevance and growing biotechnological interest. Notably, only ~1% of described fungal species originate from marine environments, and many of these are also found on land, raising the question of whether environmental adaptability is driven by species-level traits or by strain-level plasticity.

To address this, we compared worldwide strains of the same fungal species isolated from terrestrial and marine environments, integrating genomic analyses with detailed phenotypic assays. Our study focused primarily on the genus Trichoderma, a taxa with key roles in decomposition, plant-fungus interactions, and industrial enzyme production, including the cellulase-producing workhorse Trichoderma reesei, which served as key reference system.

While genome content was largely conserved across strains, pronounced phenotypic divergence was observed between marine and terrestrial isolates regarding salinity tolerance, and divergent metabolic niches through distinct carbon source preferences and altered rhizosphere interactions, even under saline conditions. These results suggest that environmental adaptation in Trichoderma is primarily driven by physiological plasticity rather than major genomic restructuring, indicating a broad physiological reaction norm that allows for the colonization of diverse saline and non-saline habitats.

Our findings highlight marine fungi as overlooked reservoirs of adaptive traits relevant to biogeochemical processes and biotechnology, including enzyme production, metabolite diversity, and stress-resilient plant–fungus interactions. By linking ecological origin to phenotypic performance, this study underscores the evolutionary plasticity of marine fungi and their potential role in shaping resilient bioprocesses and ecosystem functioning in a changing planet.

How to cite: Benocci, T., Zaragoza, A., Anthony, M., Baltar, F., and Baroncelli, R.: Fungi from land to sea: phenotypic plasticity drives functional adaptation across saline and non-saline habitats, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13459, https://doi.org/10.5194/egusphere-egu26-13459, 2026.

EGU26-13746 | ECS | Posters on site | BG1.11

From molecules to mountain ranges: Remote sensing of extremophilic algae blooms, Saharan dust deposition events, and meta-omic analysis of the bloom community 

Luke Richardson, Robert Bryant, Jagroop Pandhal, Andrew Sole, Frederick Tallantire, and Darrel Swift

Background and aims

Highly pigmented extremophilic algae communities, “Blood Snow”,  accelerate the retreat of glaciers and snowcaps by depressing the reflectivity of surfaces by up to 13%. In the European Alps these snow algae interact with depositions of Saharan dust, a plausible source of vital nutrients. Using a novel ML-based remote-sensing algorithm, we have tracked blooms and dust deposition events in the Alps, but we now seek molecular-level insight to better understand how, where and when these blooms occur. Unculturable key strains, remote field-sites and low biomass per unit volume has kept meta-omic analysis of functional microbial ecology impractical in these ecosystems. Standard sampling techniques require cryogens or expensive, heavy and limited portable freezers to preserve protein for multi-omics: These are, at minimum, logistically challenging if not unobtainable in remote locations. We aimed to develop ambient temperature concentration, fixation and transportation of field samples for meta-omics, expanding the ability of researchers to probe the ecology of remote extremophile communities in-situ. Better in-vitro understanding of these significant unconstrained cryospheric effects may help untangle the interactions, behavior and uncertain future of these phenomena.

Methods

Traditional flash-freezing requires the sourcing and transportation of cryogens to preserve samples as-is. Using cryogens in remote locations is hazardous, and results in bulky samples that must reach a freezer within hours. Another approach is to use in-situ concentration followed by macromolecule fixation with broad-spectrum enzyme inhibitors. This allows preservation of approximately equal quality to LN2, concentrated samples, safer fieldwork and a generous timescale for samples to reach long-term storage. This then fed into a SP3 proteomic and WGS metagenomic pipeline to identify proteins and infer what the community is capable of on its own, and what must be outsourced.

Results

We show that quality DNA and Protein can be extracted from samples gathered in this manner and present preliminary meta-omic analysis of the same, synthesised with the results of our whole Alp survey of Algal Blooms and dust deposition events. This method also solves an adjacent problem: the low biomass per volume of remote extremophiles via in-situ concentration. We will also discuss how these molecular-level insights may provide clues into community functioning, interaction with other geophysical cycles such as Saharan dust circulation, and outline future opportunities.

 

Conclusion

A novel sampling technique allows meta-omic exploration of microbial ecological dynamics in remote locations without cryogens. This lower barrier to entry enables affordable, compact, time-insensitive, meta-omics in remote microbial ecosystems, helping to sidestep issues in understanding these currently unculturable but highly influential organisms.

How to cite: Richardson, L., Bryant, R., Pandhal, J., Sole, A., Tallantire, F., and Swift, D.: From molecules to mountain ranges: Remote sensing of extremophilic algae blooms, Saharan dust deposition events, and meta-omic analysis of the bloom community, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13746, https://doi.org/10.5194/egusphere-egu26-13746, 2026.

EGU26-13876 | ECS | Posters on site | BG1.11

Environmental drivers of microbial metal transporter diversity in geothermal systems 

Flavia Migliaccio, Davide Corso, Martina Cascone, Edoardo Taccaliti, Benoit De Pins, Deborah Bastoni, Matteo Selci, Gabriella Gallo, Alessia Bastianoni, Luciano Di Iorio, Costantino Vetriani, Peter H. Barry, Rebecca L. Tyne, Karen G. Lloyd, Gerhard L. Jessen, Agostina Chiodi, Marteen J. De Moor, Carlos J. Ramirez, Angelina Cordone, and Donato Giovannelli and the Giovannelli Lab - Università degli Studi di Napoli Federico II, Department of Biology

Transition metals are crucial for microbial metabolism, serving as catalytic cofactors in many enzymes and contributing to protein folding. Their fluctuating bioavailability, depending on environmental concentrations and redox state, but also their potential toxicity due to high reactivity, selected for tight metal homeostasis regulation. Metal transporters lie at the core of this homeostatic control. Accordingly, microorganisms have evolved a wide diversity of metal transport systems to cope with changing environmental metal availability throughout Earth history.

The present study aims at describing the diversity and distribution of microbial metal transport systems across several geothermal environments, with a specific focus on shallow water hydrothermal vents and terrestrial deeply sourced seeps. In these ecosystems, microbial diversity and metabolism are tightly linked to the elements supplied by water-rock interactions, providing an excellent model to investigate the diversity of microbial metal transport systems. 

We performed shotgun metagenomics of geofluids from more than 200 thermal features globally distributed and carried out functional annotation of sequencing reads using a manually curated database of metal transport genes. Metagenomic data were coupled to high-resolution geochemical analysis, including ion chromatography and inductively-coupled plasma mass spectrometry. 

Our results reveal that microbial metal transport systems are strongly structured by geochemical context and dissolved metal availability across geothermal environments. Transporter diversity and abundance varied systematically across tectonic settings and physicochemical gradients, with metal-poor environments exhibiting higher diversity and abundance of uptake systems, whereas metal-rich and acidic environments display reduced transporter diversity and a relative enrichment of efflux-related functions. These relationships point to a dynamic regulatory mechanism, where microorganisms may adapt their metal uptake strategies in response to fluctuating metal concentrations, providing new insights into microbial evolution of metal transport systems. Such findings could have broader implications for understanding microbial evolution in extreme environments, providing more insights into the fundamental role of metal availability in the regulation of microbial diversity.

How to cite: Migliaccio, F., Corso, D., Cascone, M., Taccaliti, E., De Pins, B., Bastoni, D., Selci, M., Gallo, G., Bastianoni, A., Di Iorio, L., Vetriani, C., Barry, P. H., Tyne, R. L., Lloyd, K. G., Jessen, G. L., Chiodi, A., De Moor, M. J., Ramirez, C. J., Cordone, A., and Giovannelli, D. and the Giovannelli Lab - Università degli Studi di Napoli Federico II, Department of Biology: Environmental drivers of microbial metal transporter diversity in geothermal systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13876, https://doi.org/10.5194/egusphere-egu26-13876, 2026.

EGU26-14116 | ECS | Orals | BG1.11

Biochemical remodeling of phytoplankton cell composition under climate change 

shlomit sharoni, Keisuke Inomura, Stephanie Dutkiewicz, Oliver Jahn, Zoe Finkel, Andrew Irwin, Mohammad M Amirian, Erwan Monier, and Michael Follows

Although the macromolecular composition of phytoplankton shapes the nutrition available to marine ecosystems and regulates global biogeochemistry, there are no mechanistic, predictive models for its global distribution. Using a cellular allocation model, we simulate phytoplankton allocation to proteins, carbohydrates, and lipids in the present day and a warming scenario. Our simulations predict spatial variations consistent with available observations: in nutrient-sufficient, low-light high-latitude regions, phytoplankton allocate more to nitrogen-rich proteins, while in nutrient-depleted subtropical regions, allocation favours carbohydrates and lipids. Under warming, subtropical phytoplankton increase protein allocation by ~20%, as subsurface populations, rich in light-harvesting protein, thrive, whereas high latitude protein allocation declines by ~15–30% due to warming and light limitation relief. In situ macromolecular measurements in polar regions show recent trends consistent with our predictions. These results suggest that macromolecular composition responds measurably to changing environmental conditions, reshaping the nutritional landscape at the base of the marine food web.

How to cite: sharoni, S., Inomura, K., Dutkiewicz, S., Jahn, O., Finkel, Z., Irwin, A., Amirian, M. M., Monier, E., and Follows, M.: Biochemical remodeling of phytoplankton cell composition under climate change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14116, https://doi.org/10.5194/egusphere-egu26-14116, 2026.

EGU26-14477 | ECS | Orals | BG1.11

Improving Gross Primary Production Estimates by Integrating Eco-Evolutionary Optimality Modelling with High-Resolution Sentinel-2 Observations 

Wenjia Cai, Iain Colin Prentice, Hyunjung Hong, Weiguo Yu, and Youngryel Ryu

The terrestrial biosphere constitutes a major component of the global carbon cycle, absorbing a substantial fraction of anthropogenic CO2 emissions and thereby mitigating climate change. Terrestrial vegetation governs the largest carbon flux in biosphere - gross primary production (GPP), the total carbon uptake through photosynthesis - making accurate quantification of GPP critical to projection of land-atmosphere carbon exchange. However, it remains challenging due to uncertainties in observations and model representations. Advances in high-resolution satellite remote sensing products now enable detailed monitoring of vegetation changes, while process-based models could offer mechanistically robust characterization of plant biophysical and biochemical processes. Here we integrate quality-controlled and corrected Sentinel-2 leaf area index (LAI) with eco-evolutionary optimality-based P model to simulate GPP at eddy covariance flux sites. Model performance is evaluated against site observations to assess the ability of this framework to reproduce observed spatial patterns and temporal dynamics. Our results demonstrate that such hybrid approaches combining Earth Observation data with a theoretically grounded, parameter-sparse model greatly improved GPP simulation, highlighting a promising pathway for advancing ecosystem carbon flux modelling and evaluation.

How to cite: Cai, W., Prentice, I. C., Hong, H., Yu, W., and Ryu, Y.: Improving Gross Primary Production Estimates by Integrating Eco-Evolutionary Optimality Modelling with High-Resolution Sentinel-2 Observations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14477, https://doi.org/10.5194/egusphere-egu26-14477, 2026.

EGU26-16163 | Orals | BG1.11

From Arctic soils to the atmosphere: microbial controls on biological ice-nucleating particles at high latitudes 

Tina Šantl-Temkiv, Lasse Z. Jensen, Tommaso Lamesta, Christian D. F. Castenschiold, Shashi Prabha Kumari, Andreas Massling, Henrik Skov, Frank Stratmann, Heike Wex, and Kai Finster

The Arctic is experiencing rapid climate change, with warming rates exceeding three to four times the global average. This has a profound impact on cloud and precipitation formation. Bioaerosols are critical for cloud processes as they can act as high-temperature ice nucleating particles (INPs). Despite their importance, the understanding of bioaerosol-cloud interactions remains highly uncertain, primarily due to limited information on the types, concentrations, and sources of biogenic INPs. To reduce these uncertainties, we combined analyses of Arctic soils as potential reservoirs of biogenic INPs with multi-year atmospheric observations of bioaerosols and INP in the High Arctic.

We first investigated Arctic soils as reservoirs of biogenic INPs by analyzing fungal community composition and INP concentrations across 78 soil samples collected from seven sites spanning southern to northern Greenland. To determine whether INPs from soils are transferred into the atmosphere, we performed the first multi-year (2021–2023) study of bioaerosol abundance and composition, together with quantifying high-temperature INPs from the High Arctic, collected at Villum Research Station at a 3.5-day time resolution. Soils were sieved and INPs associated with particles <5 µm as well as INPs found in the soluble fraction (<0.22 µm) were obtained using the Micro-PINGUIN assay. Fungal and bacterial communities were characterized using ITS2 and 16S rRNA gene amplicon sequencing. Source tracking was used to determine the contribution of local sources to airborne microbial cells and INP.

In the soils, we found that higher INP concentrations were associated with higher latitudes. Based on their high-temperature activity, we suggest that these INPs are proteinaceous. Using multivariate analyses, we identified annual mean air temperature as the dominant explanatory variable, followed by soil pH. The composition of the fungal community varied significantly among sites, and several taxa, including Leptosphaeria, Pseudogymnoascus, Tetracladium, and Microdochium, showed significant positive correlations with high-temperature INP concentrations, suggesting that members of the fungal community are producing soil-derived INPs. We found that the INPs were present in the soluble fraction of the soils, which is also consistent with fungal origin. As suggested for temperate regions, these INPs can disassociate from fungal hyphae and bind to clay particles, getting emitted to the atmosphere on inorganic particles. Analyzing aerosol samples, we found that atmospheric INP concentrations ranged from 2.2 × 10-2 to 7.2 × 101 m-3, and airborne bacterial concentrations from 2.7 × 100 to 4.2 × 103 m⁻3. We observed seasonal shifts in microbial community composition, with spore-forming taxa dominating during in spring and more diverse, locally sourced communities in summer. Both bacterial abundance and diversity were positively correlated with warm-temperature INP concentrations, indicating that these were associated with emissions from environments with dense and diverse bacterial communities, such as soils.

Together, our results allow us to link high-latitude terrestrial microbial communities to atmospheric INP, and we demonstrated that Arctic soils, particularly at northern latitudes, represent key reservoirs of biogenic INPs, which disperse into the atmosphere. By integrating studies of the microbial soil communities and long-term atmospheric observations we can constraint biological aerosol–cloud interactions and their potential sensitivity to the ongoing Arctic warming.

 

How to cite: Šantl-Temkiv, T., Jensen, L. Z., Lamesta, T., Castenschiold, C. D. F., Kumari, S. P., Massling, A., Skov, H., Stratmann, F., Wex, H., and Finster, K.: From Arctic soils to the atmosphere: microbial controls on biological ice-nucleating particles at high latitudes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16163, https://doi.org/10.5194/egusphere-egu26-16163, 2026.

EGU26-16455 | ECS | Posters on site | BG1.11

Statistical approaches to soil carbon dynamics 

Yinon Bar-On and Abraham Flamholz

Terrestrial ecosystems absorb ≈30% of anthropogenic CO2 emissions in a process termed the land sink. This process thus mitigates a large fraction of current and future climate change, and Earth’s future climate depends greatly on whether or not the land sink continues. Accumulation of soil organic carbon (SOC), is responsible for a large fraction of carbon absorbed by the land sector, yet we currently lack sufficient observational constraints on changes in SOC at the global scale. Moreover, the computational models that we rely on to simulate SOC dynamics are too complex to effectively use the limited available data, leading to very large uncertainty in their projections. To help address these challenges, we develop simple-yet-powerful statistical models of soil organic carbon degradation that use available observations of carbon turnover time and radiocarbon dating to constrain the ~10-100 year dynamics of SOC, the relevant time scale over which societies can plan for climate change. We show that these models can be independently parameterized from available data, and have predictive performance on par or exceeding state-of-the-art models, with many fewer parameters.

How to cite: Bar-On, Y. and Flamholz, A.: Statistical approaches to soil carbon dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16455, https://doi.org/10.5194/egusphere-egu26-16455, 2026.

EGU26-17497 | Posters on site | BG1.11

Soil profile structure and transport control equilibrium in microbial soil carbon models 

Lin Yu, Junzhi Liu, Hui Wu, Cheng Gong, Minjung Kwon, Xavier Rodriguez, Sönke Zaehle, and Christian Beer

Equilibrated soil organic carbon (SOC) states are a prerequisite for Earth system model simulations following CMIP and TRENDY protocols, which rely on long preindustrial spin-up phases prior to historical and future integrations. While conventional linear soil carbon models readily achieve equilibrium, microbial-explicit soil carbon models frequently exhibit slow convergence or persistent SOC drift even after millennial-scale spin-up, raising concerns about their applicability in Earth system simulations.

Previous analytical work has derived steady-state solutions for microbial soil carbon models under the assumption of vertically integrated, well-mixed systems, but it remains unclear whether such analytical equilibria are sufficient when models include vertical soil structure and transport processes. Here, we systematically assess the role of soil profile discretization, transport, and model structure in controlling SOC equilibration, and evaluate whether analytically derived steady states can provide reliable initial conditions for depth-resolved microbial soil carbon models.

Using the QUINCY land model framework, we conduct a hierarchy of simulations under standard CMIP-style protocols, consisting of a 1000-year spin-up followed by historical simulations (1850–2019). First, we apply QUINCY-derived litter inputs to the vertically integrated microbial soil carbon model Millennial, which includes explicit microbial dynamics and mineral-associated organic matter formation but no vertical transport. Second, we simulate soil carbon dynamics in QUINCY using a CENTURY-type linear soil model (SSM) with explicit vertical discretization (5 and 15 soil layers to 9.5 m depth), providing a reference case with well-defined analytical equilibria. Third, we perform fully depth-resolved simulations using the Jena Soil Model (JSM) within QUINCY, combining microbial-explicit carbon cycling, sorption dynamics, and vertical transport.

We hypothesize that difficulties in equilibrating microbial soil carbon models arise primarily from structural interactions between nonlinear microbial kinetics, sorption capacity constraints, and vertical transport, rather than from numerical deficiencies or insufficient spin-up duration. We further expect that analytically constrained initial conditions substantially reduce equilibration times and SOC drift in bucket models and linear depth-resolved systems, while providing a useful—but not fully sufficient—approximation for initializing complex microbial soil carbon models with dynamic soil profiles.

By explicitly comparing linear and microbial soil carbon models across vertically integrated and depth-resolved configurations, this study clarifies the conditions under which analytical steady-state solutions are adequate for CMIP- and TRENDY-style simulations, and identifies remaining structural challenges for deploying microbial soil carbon models in Earth system frameworks.

How to cite: Yu, L., Liu, J., Wu, H., Gong, C., Kwon, M., Rodriguez, X., Zaehle, S., and Beer, C.: Soil profile structure and transport control equilibrium in microbial soil carbon models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17497, https://doi.org/10.5194/egusphere-egu26-17497, 2026.

EGU26-19252 | ECS | Orals | BG1.11

Acidity and salinity influence viral ecogenomics and microbial evolution in polyextreme lakes 

Emilie J. Skoog, Benjamin Klempay, Margaret M. Weng, Luke A. Fisher, Taylor Plattner, Britney E. Schmidt, and Jeff S. Bowman and the OAST Team

Viruses are the most abundant biological entities on Earth and exert powerful controls on ecosystem ecology, biogeochemical cycling, and microbial evolution. Hypersaline environments host the highest reported viral abundances of any aquatic system, yet little is known about how salinity and other environmental extremes influence viral ecology. In these systems, salinity alongside acidity strongly influence the isoelectric point (pI) of viral particles – the pH at which a virion carries no net surface charge – which affects viral particle electrostatic interactions and stability. When environmental pH approaches the pI of the viral structural proteome, virions lose surface charge, aggregate, and adsorb to particles, reducing viral infectivity. This, in turn, greatly influences microbial ecology and ecosystem-scale biogeochemical cycling. In this study, we use acidic and alkaline hypersaline lakes in Western Australia as a natural Earth-system laboratory to test how pH and salinity shape viral ecogenomics and microbial evolution. We analyzed metagenomes and viromes from 37 polyextreme lakes spanning pH 2.3-9.4 and 30-465 ppt salinity across wet and dry seasons, recovering 11,804 viral populations from 50 families along with 645 microbial metagenome-assembled genomes. We calculated the pI for viral structural proteomes and placed these data in a global context using viral genomes from environments spanning freshwater, soda lakes, acidic meromictic lakes, and deep-sea hydrothermal vents. Across all environments, viral structural pI distributions were strongly skewed toward more acidic values, with the most acidic capsids occurring in hypersaline and alkaline brines. Even modest shifts in viral structural pIs (~0.8 pH units) correspond to order-of-magnitude changes in proton concentration, suggesting physicochemical selection. Within cosmopolitan viral families, structural pI shifted systematically across pH-salinity regimes, demonstrating that structural traits are not fixed by phylogeny alone but respond to environmental geochemistry. Viruses infecting halophilic archaea exhibited the most acidic and most tightly constrained structural pI values, pointing to host envelope chemistry and host ecology as an additional filter on viral evolution. To understand how viruses may influence microbial adaptation to these environmental extremes, we also functionally characterized viral auxiliary metabolic genes (AMGs) and genes encoded on plasmids. Viral AMGs primarily supported host energy metabolism rather than stress tolerance, whereas plasmids encoded extensive osmotic and acid-stress pathways that were strongly structured across pH-salinity space, identifying plasmids as key agents of microbial adaptation in extreme brines. By linking viral and plasmid omics to geochemical gradients across a natural Earth-system laboratory, this work shows how molecular-scale traits scale up to shape ecosystem function and biogeochemical dynamics across the planet.

How to cite: Skoog, E. J., Klempay, B., Weng, M. M., Fisher, L. A., Plattner, T., Schmidt, B. E., and Bowman, J. S. and the OAST Team: Acidity and salinity influence viral ecogenomics and microbial evolution in polyextreme lakes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19252, https://doi.org/10.5194/egusphere-egu26-19252, 2026.

Understanding and predicting the feedback between climate change and soil carbon dynamics remains a major scientific challenge. A key uncertainty lies in our limited knowledge of how changing hydrothermal conditions influence microbial functional dynamics and their contributions to soil carbon emissions. In particular, the microbial functions that respond to hydrothermal variability—and their interactions with functions involved in soil carbon and nutrient cycling—remain poorly characterized. It is still unclear how both historical and current hydrothermal conditions affect the relative abundances of these microbial functions and how these shifts impact the dynamics of soil carbon emission in response to changing hydroclimate. To fill these knowledge gaps, we combined gene-to-ecosystem data from key ecological networks to develop artificial intelligence models to identify and quantify microbial resource allocation strategies in response to past and present hydrothermal properties. Our findings indicated that microbial communities acclimated to reduced soil moisture by lowering investment in recalcitrant-C decomposition and monomer nutrient mineralization. This drought-mitigation response was amplified by drying legacy but dampened by nutrient limitation. Elevated soil temperature, in contrast, generally increased microbial investment in N acquisition, while thermal legacy strengthened the thermal resistance of N-acquisition allocation and promoted reallocation of C- and P-acquiring functions toward adaptation to current hydrothermal dynamics. Finally, we will show how the identified resource optimization strategies can be applied to interpret observed soil carbon dynamics under climate change and to advance earth system modeling of soil carbon emissions.

How to cite: Song, Y., Fan, C., and Wilson, S.: Past and present hydrothermal regimes shape microbial resource allocation for soil C, N, and P cycling: insights from machine-learning predictions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19305, https://doi.org/10.5194/egusphere-egu26-19305, 2026.

EGU26-20897 | ECS | Posters on site | BG1.11

Spatial hybrid modeling of soil organic carbon processes: testing common assumptions using multivariate, dynamic data with simple models 

Leo Roßdeutscher, Katerina Georgiou, William Riley, Markus Reichstein, Marion Schrumpf, Thomas Wutzler, and Bernhard Ahrens

The land surface accounts for a large share of variability in the global carbon cycle. Although increasing atmospheric CO₂ concentrations have led to higher net primary production and increased land carbon stocks, vegetation carbon stocks appear largely constant, implying that changes in land carbon are primarily driven by soil organic carbon (SOC). As SOC represents the largest active carbon pool, its dynamics are critical for land–atmosphere feedbacks. However, strong spatial heterogeneity and measurement limitations result in sparse and mostly static SOC data, complicating the identification of dominant processes.

Recent studies address this limitation by assimilating soil carbon models to spatial SOC and covariate datasets using neural networks (hybrid modeling). The resulting spatial parameter fields are then interpreted in terms of underlying mechanisms. These approaches typically rely on three key assumptions: steady-state conditions, adequate process representation by the assimilated SOC model, and the sufficiency of bulk SOC data to infer processes. In this study, we explicitly test these assumptions.

We use the Europe-wide LUCAS dataset, which provides spatially resolved physical and chemical soil data at multiple time points. A subset of the dataset includes SOC subfractions, including mineral-associated organic carbon and microbial biomass carbon. Several simple SOC models were assimilated in their steady-state form in the hybrid framework, while accounting for differences in model flexibility. This allowed exclusion of specific modeling assumptions. Comparisons across time steps were used to assess the validity of the steady-state assumption. In addition, first results obtained with a dynamic SOC model are presented.

How to cite: Roßdeutscher, L., Georgiou, K., Riley, W., Reichstein, M., Schrumpf, M., Wutzler, T., and Ahrens, B.: Spatial hybrid modeling of soil organic carbon processes: testing common assumptions using multivariate, dynamic data with simple models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20897, https://doi.org/10.5194/egusphere-egu26-20897, 2026.

EGU26-20949 | ECS | Posters on site | BG1.11

Soil salinity and sodicity in the Camargue (Rhône river delta, France) are strongly controlled by elevation, land use, soil depth 

Stephen Boahen Asabere, Isabel Hielscher, Julie Regis, Marion Lourenco, Olivier Boutron, and Daniela Sauer

Soil salinization threatens agricultural production and wetland functioning in coastal deltas. This threat is expected to intensify with climate change because increasing evapotranspiration, decreasing fresh water supply from rivers, and sea-level rise will expand salt influence into low-lying areas. In such settings, shallow brackish groundwater, evapotranspiration, and land-use–specific hydrology interacts across subtle topographic gradients, with yet unconstrained consequences for both salinity levels and sodicity risk. In this study, we quantified the combined effects of elevation, land use, and soil depth in soils of the Camargue (southern France), a multifunctional delta dominated by paddy rice, dry agriculture (e.g., wheat, clover) and pastureland.

At three elevation classes (low = 0.2–0.6 m a.s.l.; mid = 0.6–1.0 m a.s.l.; high = 1.0–1.4 m a.s.l.), we collected 362 soil cores by manual drilling (using a 1-m auger), which were subdivided into five 20-cm soil-depth increments (0–20, 20–40, 40–60, 60–80, 80–100 cm). We used 1:5 soil:water extracts to measure electrical conductivity (EC) and a targeted ion suite [mg L⁻¹; meq L⁻¹]. We derived dissolved salts (DS = sum of quantified ions), Na-dominance-ratio (Na⁺/√[(Ca²⁺+Mg²⁺)/2]), and a Na⁺–Cl⁻ imbalance metric (ΔNa⁺ = Na⁺ − Cl⁻ [meq L⁻¹]) to distinguish Na⁺–Cl⁻ dominance from Na⁺ enrichment decoupled from Cl⁻.

EC and DS generally increased towards the lower elevations and with soil depth, indicating salt accumulation where drainage is constrained and groundwater influence is strongest. These elevation trends were most pronounced in soils under paddy rice and pastureland (rice median EC = 0.44–0.97 mS cm⁻¹; DS = 306–642 mg L⁻¹; pasture median EC = 0.90–1.97 mS cm⁻¹; DS = 502–942 mg L⁻¹). Soils under dry agriculture showed a different pattern (EC = 0.27–0.49 mS cm⁻¹; DS = 236–314 mg L⁻¹) toward lower elevations. Ion composition was dominated by Na⁺ (20%) > Cl⁻ (18%) > K⁺ (17.7%) > SO₄²⁻ (16%) > NO₃⁻ (10.6%) > Ca²⁺ (4.7%) > Mg²⁺ (0.6%). ΔNa was predominantly positive, especially in soils under paddy rice, coinciding with elevated Na-dominance-ratio (3.4–12.7), indicating widespread Na⁺ excess relative to Cl⁻ and suggesting potential sodicity risk. Negative ΔNa⁺ values occurred mainly in some pasturelands (−0.15 to −8.7 meq L⁻¹), consistent with Cl⁻-dominant inputs (e.g., sea salts, fertilizers).

Projected increases in evapotranspiration and sea-level rise under global warming are likely to reduce arable land availability in the Camargue, suggesting a heightened vulnerability to combined salinity–sodicity pressures. Specifically, to maintain rice cultivation along with all its cultural heritage for the people in the Camargue, a sustained effort for freshwater irrigation and effective drainage needs to be prioritized.

How to cite: Asabere, S. B., Hielscher, I., Regis, J., Lourenco, M., Boutron, O., and Sauer, D.: Soil salinity and sodicity in the Camargue (Rhône river delta, France) are strongly controlled by elevation, land use, soil depth, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20949, https://doi.org/10.5194/egusphere-egu26-20949, 2026.

EGU26-21544 | Orals | BG1.11

EcoHydrology, Thermodynamics, and Microbial Ecology at the onset of soil syntrophy 

Amilcare Porporato, Salvatore Calabrese, and Damola Olaitan

Syntrophy is metabolic cross-feeding in which an upstream organism can oxidize a substrate only because a partner continuously removes inhibitory products (often H2), making the overall reaction energetically favorable. In soils, moisture regulates anaerobic microbial interactions by shaping oxygen availability and gas diffusivity, while fermentation produces reduced intermediates, including volatile fatty acids (VFAs) such as butyrate and propionate, whose oxidation is endergonic under standard conditions and becomes feasible only when hydrogen is maintained sufficiently low by hydrogenotrophic methanogens. Here we present a minimalist predator–prey model that captures the key feedbacks among moisture, hydrogen dynamics, and methanogen biomass. Moisture modulate hydrogen production, leakage, and methanogenic growth, shifting the system between a hydrogen-accumulating, methanogen-free regime and a syntrophic coexistence regime in which methanogens depress hydrogen below the threshold required for VFA oxidation to become exergonic. The resulting moisture-driven transition is a transcritical bifurcation governed by a moisture-dependent methanogen reproduction number, providing a compact link between hydrologic variability and the onset and collapse of syntrophy in soils.

How to cite: Porporato, A., Calabrese, S., and Olaitan, D.: EcoHydrology, Thermodynamics, and Microbial Ecology at the onset of soil syntrophy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21544, https://doi.org/10.5194/egusphere-egu26-21544, 2026.

EGU26-2469 | ECS | Orals | BG3.15

Radiocarbon and Stable Isotopic Signatures Reveal Accelerated Carbon Cycling in a Boreal Peatland Subjected to Warming and Elevated CO2 

Alexandra Hedgpeth, Karis Mcfarlane, Gavin McNicol, and Paul Hanson

Natural wetlands account for approximately one-third of global methane (CH₄) emissions, while northern peatlands store more than 20% of terrestrial carbon. Environmental change has the potential to enhance microbial decomposition of peat, mobilizing long-stored carbon as CO₂ or CH₄. However, predicting future peatland trace gas fluxes remains challenging due to limited mechanistic understanding and a lack of long-term, ecosystem-scale experimental data for model evaluation. The Spruce and Peatland Responses Under Changing Environments (SPRUCE) experiment addresses this gap by providing a rare, whole-ecosystem manipulation of warming and elevated CO₂ in an ombrotrophic forested bog in northern Minnesota.
Here, we measured radiocarbon (¹⁴C) and stable carbon (¹³C) isotopic signatures of surface-emitted CH₄ and CO₂ at the onset of experimental treatments and after five and seven years of combined warming and elevated CO₂. Across treatments, CH₄ emissions were on average approximately a decade older than co-emitted CO₂, indicating differences in carbon source age and processing between the two gases. Despite this age offset, surface carbon fluxes were dominated by recently fixed photosynthates rather than older peat-derived carbon. This finding is consistent with previous work at SPRUCE demonstrating rapid incorporation of newly fixed carbon into dissolved organic carbon pools throughout the peat profile.
In plots exposed to elevated CO₂, isotopic signatures of both ¹⁴C and ¹³C in chamber air were depleted relative to ambient conditions. Correspondingly, surface-emitted CH₄ and CO₂ from elevated CO₂ plots exhibited depleted isotopic values compared to non-elevated plots, reflecting rapid transfer of newly assimilated carbon from vegetation to atmospheric fluxes. Peat sampled four years after the initiation of elevated CO₂ treatments also showed depletion in carbon isotopic values within shallow peat layers relative to ambient CO₂ plots, further supporting enhanced incorporation of recent photosynthates into near-surface peat carbon pools.
Unexpectedly, we found little evidence for increased decomposition or mobilization of older peat carbon, even under conditions that would typically favor peat degradation. Warming treatments, combined with episodically dry conditions, resulted in significant lowering of the water table and measurable loss of surface elevation over the course of the experiment. Despite these physical changes, isotopic evidence did not support substantial contributions of deep or old peat carbon to surface CO₂ or CH₄ emissions.
Together, our results indicate that elevated surface CH₄ and CO₂ fluxes observed under warming at SPRUCE are primarily fueled by rapidly cycling carbon recently fixed by bog vegetation, rather than by accelerated decomposition of long-stored peat carbon. These findings underscore the importance of hydrologic and biogeochemical interactions in regulating peatland carbon dynamics and have critical implications for interpreting experimental manipulations, improving process-based wetland models, and extrapolating peatland responses to climate change across boreal ecosystems.

How to cite: Hedgpeth, A., Mcfarlane, K., McNicol, G., and Hanson, P.: Radiocarbon and Stable Isotopic Signatures Reveal Accelerated Carbon Cycling in a Boreal Peatland Subjected to Warming and Elevated CO2, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2469, https://doi.org/10.5194/egusphere-egu26-2469, 2026.

EGU26-2623 | Orals | BG3.15

Methane Flux Dynamics in a California Oak Savanna 

Kuno Kasak, Reti Ranniku, Martin Beland, Joseph Verfaillie, and Dennis Baldocchi

Methane (CH4) is a potent greenhouse gas, yet the role of trees in the global CH4 budget remains uncertain. While some studies report CH4 emissions from wetland and certain upland trees via soil-derived transport or in-tree production, others suggest that upland forests may function as net atmospheric CH4 sinks. In this study, we investigated CH4 exchange in an oak savanna in California (AmeriFlux site US-Ton) using a multi-scale measurement approach. From August 2024 till October 2025, we have conducted biweekly measurements of stem CH4 and CO2 fluxes on six mature oak trees at three heights (0.4, 1.3, and 2.6 m), alongside soil CH4 flux measurements near each tree using LI-COR 7810 analyzers and a Smart Chamber. Ecosystem-scale CO2 and CH4 fluxes were quantified using eddy covariance with open-path LI-COR 7500 and 7700 analyzers. To assess sub-canopy flux variability, an additional eddy covariance system was deployed below the canopy. Tree surface area for flux upscaling was quantified using terrestrial laser scanning. Tree stems generally acted as small CH4 sources throughout the year, whereas soils consistently functioned as minor CH4 sinks, especially in sun-exposed areas. Stem vertical stem flux profiles did not indicate a direct coupling with soil CH4 dynamics. However, during early spring flooding events, the stem bases of some trees emitted episodically large CH4 fluxes, suggesting that transport of soil-derived CH4, in addition to internal production, can contribute to stem emissions. Ecosystem-scale eddy covariance measurements showed no persistent seasonal pattern in CH4 emissions, although modest increases were observed from spring. At the annual scale, sub-canopy eddy covariance CH4 fluxes were comparable to soil chamber-based estimates, indicating that the under-canopy the soil likely functions as a small CH4 sink. In contrast, above-canopy eddy covariance measurements indicated that the ecosystem as a whole is a small net CH4 source. This discrepancy may be explained by non-microbial CH4 production from oak leaves, supported by incubation experiments and the pronounced increase in ecosystem CH4 fluxes following leaf emergence. 

How to cite: Kasak, K., Ranniku, R., Beland, M., Verfaillie, J., and Baldocchi, D.: Methane Flux Dynamics in a California Oak Savanna, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2623, https://doi.org/10.5194/egusphere-egu26-2623, 2026.

EGU26-2737 | Posters on site | BG3.15

Effect of elevated atmospheric CO2 concentration on greenhouse gas exchange of common hazel trees and soils 

Katerina Machacova, Karel Klem, Tomáš Medňanský, Hannes Warlo, and Sami Ullah

Trees are known to emit and consume methane (CH4) and nitrous oxide (N2O), important greenhouse gases (GHGs). Most studies have focused on stems, whereas the role of tree leaves in forest CH4 and N2O exchange remains unknown. In recent decades, forests have been responding to changing environmental conditions, including increasing/elevated atmospheric carbon dioxide (eCO2). However, the long-term effect of eCO2 on tree CH4 and N2O exchange is almost unknown.  

We suggested that the conserved stomatal behavior under eCO2 may directly affect N2O and CH4 fluxes from leaves or stems by altering transpiration, carbon assimilation and allocation, and indirectly soil N2O and CH4 fluxes by altering soil moisture and root exudation patterns.

At the Birmingham Institute of Forest Research’s Free Air CO2 Enrichment (BIFoR-FACE) facility, we studied i) CH4, N2O and CO2 exchange from soils, and stems and shoots of mature Common Hazel (Corylus avellana), and ii) the long-term effect of eCO2 on this GHG exchange. The facility dominated by English Oak with sub-canopy hazel includes three arrays with +150 ppm CO2 enrichment above the ambient (eCO2) and three arrays under ambient CO2 (aCO2).

We measured GHG exchange from three hazel trees and three soil positions in each array and in one sunny aCO2 plot in June 2025. Hazel trees at all arrays grow under low photosynthetically active radiation (PAR). Photosynthesis and transpiration were measured in parallel to GHG fluxes at all studied trees. The gas exchange was studied using static chamber systems and portable LiCOR analysers. 

The soil was a sink for CH4 and a source for N2O and CO2. The nine years of eCO2 enrichment tended to reduce the soil CH4 uptake by 55%, and significantly increased soil N2O and CO2 emissions by 93 and 62%, respectively. The stem emissions of CH4, N2O and CO2 were not affected by eCO2. However, trees growing under sunny conditions showed significantly higher stem CO2 efflux than shaded trees. The shoots were CH4 sources irrespective of eCO2 treatment. The shoots turned from being an N2O source under aCO2 to a weak N2O sink under eCO2 (non-significant change). The leaves exposed to eCO2 showed higher CO2 assimilation and transpiration rates compared to aCO2. However, the leaves growing under sunny ambient conditions demonstrated much higher physiological activity than leaves under shaded ambient conditions. The eCO2 seems to partly compensate the low PAR intensities at arrays, and approximates the light curve to the sunny leaves.

Concluded, eCO2 seems to affect the GHG fluxes from soils rather than from hazel stems and shoots. The tree CO2 exchange tends to be more related to PAR conditions than to the atmospheric CO2 levels, mainly due to shaded conditions at arrays.  

 

Acknowledgement

This research was supported by the Ministry of Education, Youth and Sports of CR within programs LU-INTER-EXCELLENCE II [LUC23162] and CzeCOS [LM2023048], and project AdAgriF-Advanced methods of greenhouse gases emission reduction and sequestration in agriculture and forest landscape for climate change mitigation [CZ.02.01.01/00/22_008/0004635]. We thank Robert Grzesik and Kris Hart from BIFoR-FACE for all their field support.

How to cite: Machacova, K., Klem, K., Medňanský, T., Warlo, H., and Ullah, S.: Effect of elevated atmospheric CO2 concentration on greenhouse gas exchange of common hazel trees and soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2737, https://doi.org/10.5194/egusphere-egu26-2737, 2026.

EGU26-4387 | ECS | Posters on site | BG3.15

Methane Exchange and Microbial Functional Potential in Forest Tree Tissues 

Krishnapriya Thiyagarasaiyar, Dhiraj Paul, Johanna kerttula, Milja Keski-Karhu, Kaido Soosaar, Ülo Mander, Katerina Machacova, Jukka Pumpanen, and Henri Siljanen

Methane (CH4) is a potent greenhouse gas, and microorganisms play a crucial role in its cycling. While soil microbial processes are well studied, the microbial basis of CH4 production and oxidation within tree tissues remains poorly understood. Trees play an active role in forest CH4 exchange, yet studies on tree-associated microbial contributions are only beginning to emerge.  In this study, we aimed to assess the abundance of CH4-cycling genes in shoots (leaves and terminal branches) and wood cores of four tree categories: European beech (Fagus sylvatica), European hornbeam (Carpinus betulus), birch (Betula pendula and Betula pubescens), and Norway spruce (Picea abies) along a transect spanning temperate to subarctic regions. We assessed CH4 exchange through shoot incubation experiments and measured internal CH4 concentrations in stem wood. Targeted metagenomic approach was used to analyze the relative abundance of CH4-cycling genes. Our study revealed that among shoots, birch, spruce and beech showed potential CH4 emissions, while hornbeam indicated potential CH4 consumption in the incubation study. Beech had the highest internal stem wood CH4 concentration, and hornbeam the lowest when compared to the ambient concentration. Metagenomic analysis confirmed the presence of key methanogen and methanotroph genes in both tissues. Soluble CH4 monooxygenase gene (mmoX) were most abundant in birch shoots and spruce shoots. In addition, CH4 exchanges showed strong positive correlation with shoot ammonia, whereas CH4 concentration on stem wood showed strong positive association with particulate CH4 monooxygenase (pmoA) and methanogen-to-methanotroph gene ratio. These findings provide new insights into tree microbiome and its contribution to CH4 exchange in forest ecosystem.

How to cite: Thiyagarasaiyar, K., Paul, D., kerttula, J., Keski-Karhu, M., Soosaar, K., Mander, Ü., Machacova, K., Pumpanen, J., and Siljanen, H.: Methane Exchange and Microbial Functional Potential in Forest Tree Tissues, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4387, https://doi.org/10.5194/egusphere-egu26-4387, 2026.

EGU26-4992 | ECS | Orals | BG3.15

Impact of afforestation on GHG fluxes and related microbiome in abandoned peat extraction areas 

Fahad Ali Kazmi, Mohit Masta, Mikk Espenberg, Jaan Pärn, Sandeep Thayamkottu, and Ülo Mander

Abandoned peat extraction areas are significant hotspots of major greenhouse gas (GHG) emissions, including CO2, CH4, and N2O, compared to drained or undisturbed peatlands. These areas are subject to restoration through either rewetting or afforestation. However, the long-term successional dynamics of GHG fluxes and the underlying microbial mechanisms remain poorly understood. We present GHG flux monthly dynamics and related microbial functional gene abundances across four different-aged afforested sites in Estonia sampled from 2023 to 2025: a young plantation (YP; 1-3 yrs) of Silver birch (SB), Scots pine (SP), Norway spruce (NS), Black alder (BA), and a reference area without trees, a mid-age plantation (MP; 17 yrs) of SB, SP, NS and a reference area, an older plantation (OP-SB, 30 yrs), and a natural riparian forest (NF-BA,  ~80 yrs) on a river bank.

In YP, all tree species showed excellent growth in the first three years, particularly silver birch, which demonstrated that this species is highly suitable for the afforestation of abandoned peat extraction areas. In YP and MP plantations, soil CO2 emissions were higher in areas with trees than in the reference area without trees, which was possibly caused by additional autotrophic respiration and the addition of fresh, easily decomposable carbon from tree roots. On the temporal scale, CO2 fluxes increased significantly across YP, OP-SB, and NF-BA during the latter part of the study period, yet remained stable in MP. Methane dynamics were strongly influenced by stand age and species; the oldest forest (NF-BA) consistently acted as a CH4 sink (mean, -31.6 ± 2.7  µg C m 2 h 1), supported by the higher oxygen content in river water and the highest abundance of pmoA-containing methanotrophs. Due to intensive precipitation and increasing soil water content (SWC), the older birch plantation (OP-SB) transitioned from a minor to a major CH4 source (23.8 ± 9.61  µg C m 2 h 1), while all young plantations remained persistent sources (75.6 ± 17.1 - 85 ± 8.25 µg C m 2 h 1). This was due to the elevated water table in YP throughout the entire study period. Across all sites, CH4 fluxes negatively correlated with pmoA abundance, highlighting the critical role of aerobic methanotrophic potential in peat soils.

Nitrous oxide emissions were highest in the old alder forest (NF-BA, 13.7 ± 2  µg N m 2 h 1), followed by mid-age plantation (MP, 8.92 ± 1.14  µg N m 2 h 1), which were particularly high during freeze-thaw cycles and post-precipitation periods. Overall, N2O fluxes showed a positive correlation with SWC. In the riparian Black alder forest, N2O fluxes were negatively correlated with the C: NO3- ratio and positively linked to a high abundance of all Nitrogen-cycling functional genes and soil NO3- levels.  Random forest modeling identified total Carbon, SWC, and nirK gene proportions as the primary predictors of N2O emissions.

These findings demonstrate that while afforestation of abandoned peat extraction areas can eventually establish CH4 sinks in peatlands, the tree species and stand age significantly modulate the net radiative forcing of the restored ecosystem through altered N-cycling and microbial community structures.

How to cite: Kazmi, F. A., Masta, M., Espenberg, M., Pärn, J., Thayamkottu, S., and Mander, Ü.: Impact of afforestation on GHG fluxes and related microbiome in abandoned peat extraction areas, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4992, https://doi.org/10.5194/egusphere-egu26-4992, 2026.

EGU26-5594 | Posters on site | BG3.15

Integrating leaf-level CH₄ and N₂O measurements with a field-portable photosynthesis system 

Ian Smillie, Seton Bachle, Doug Lynch, Richard Vath, and Jason Hupp

The fluxes of different greenhouse gas (GHG) species have long been studied using a variety of techniques, with the choice of method largely determined by the measurement scale. Small-scale fluxes such as soil chamber measurements may be made using closed transient approaches, whereas direct micrometeorological measurement of ecosystem-scale fluxes predominantly employs eddy covariance or related methodologies. However, methods to directly quantify plant-mediated fluxes at the leaf scale remain limited.

 

Increasingly, plant-mediated transport (PMT) and plant-mediated exchange (PME) are recognised as important, and in some ecosystems even dominant pathways by which some soil-produced GHGs reach the atmosphere. These processes are influenced by both biotic and abiotic factors, and physiological characteristics of the plant, such as stomatal conductance, are thought to play a significant role. However, a limited body of literature constrains our understanding of this component of GHG flux, largely due to the lack of appropriate instrumentation and methodologies to quantify these fluxes. Clipping studies have been used to remove vegetation from plots and monitor net changes in flux, but this precludes investigation of interactions between plant physiology and the GHG flux.

 

Plant physiological responses are typically measured in an open flow through system to minimise perturbation of physiology. Portable photosynthesis systems measure CO2 and H2O concentrations before and after interacting with the leaf. The differences between these concentrations (ΔCO2, ΔH2O) permit calculation of physiological parameters including net CO2 assimilation (A), intercellular CO2 concentration (Ci), and stomatal conductance to water vapour (gsw) while the chamber is continuously refreshed with stable air, allowing the maintenance of the leaf in a steady physiological state.

     However, the open flow-through nature of the photosynthesis system has traditionally made quantification of plant-mediated trace gas fluxes, such as CH4 and N2O, challenging. The surface area of plant material enclosed is typically small, and the relatively small changes in trace gas concentrations require a high degree of precision to resolve. Additional complexity arises from the large differences in H2O concentration before and after interaction with the leaf due to transpiration. Most systems also show a sensitivity to changing CO2 concentration, which is commonly utilised in plant physiology measurements.

 

Here we describe and characterise a system that integrates trace gas measurements with a commercial photosynthesis system (LI-COR LI-6800), managing water transients and integrating data from the various gas analysers, including real-time on-board flux calculations. Presented are two commercial OF-CEAS trace gas analysers, measuring CH4 and N2O (LI-COR LI-7810 and LI-7820 respectively). We examine the impact of averaging interval on measurement precision for a range of CO2 mole fractions and assess the dependence of trace gas mole fraction to changing CO2 mole fractions. We also present a sensitivity analysis for zero trace gas flux.

How to cite: Smillie, I., Bachle, S., Lynch, D., Vath, R., and Hupp, J.: Integrating leaf-level CH₄ and N₂O measurements with a field-portable photosynthesis system, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5594, https://doi.org/10.5194/egusphere-egu26-5594, 2026.

EGU26-5842 | ECS | Posters on site | BG3.15

Hidden Figures: how tree species shape methane uptake in temperate forests. 

Andrea Rabbai, Alejandra Ordoñez, Josep Barba, Alec Robinson, Aidan Dryburgh, and Vincent Gauci

Methane (CH4) is a potent greenhouse gas and the second most important contributor to the Earth’s warming after carbon dioxide (CO2). Atmospheric methane concentrations have nearly tripled since pre-industrial times, exceeding 1,930 ppb in 2025, and its radiative forcing is approximately 28-30 times greater than that of CO2 over a 100-year time scale. As a result, methane is at the centre of the climate agenda, led by the Global Methane Pledge (GMP) launched at COP26. Owing to its relatively short atmospheric lifespan ranging from 7 to 12 years, methane concentration is highly sensitive to changes in the balance between its sources and sinks.

Soils have long been recognised as the primary terrestrial methane sink alongside atmospheric oxidation. However, recent observations suggest that trees growing in free-draining soils may constitute an overlooked and potentially significant methane sink. Despite its possible importance, the magnitude, drivers, and global relevance of this tree-mediated methane uptake remain poorly constrained, introducing substantial uncertainty into current methane budget estimates. This knowledge gap is particularly pronounced in temperate forests, where evidence of tree methane uptake is limited to only two tree species (Fraxinus excelsior and Acer pseudoplatanus), leaving the broader sink potential of these ecosystems largely unexplored.

Here, we present preliminary results on spatial and temporal variability of stem methane fluxes measured across multiple UK native and non-native tree species in newly planted forests under contrasting forest management approaches, including monoculture and mixed-species woodlands.  This experiment is conducted at the Norbury Park Estate, Shropshire (central England), close to the Birmingham Institute of Forest Research (BIFoR) FACE facility. These data will provide new insights into potential drivers of tree-mediated methane uptake in temperate forests and help assess the additional climate benefits of forest expansion under different planting strategies.

 

How to cite: Rabbai, A., Ordoñez, A., Barba, J., Robinson, A., Dryburgh, A., and Gauci, V.: Hidden Figures: how tree species shape methane uptake in temperate forests., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5842, https://doi.org/10.5194/egusphere-egu26-5842, 2026.

EGU26-6055 | ECS | Orals | BG3.15

Testing vertical influences on greenhouse gases fluxes (CO2, CH4 and N2O) along tropical tree stems 

Kabi Raj Khatiwada, Ivan A. Janssens, Andreas Richter, Benjamin Runkle, Clément Stahl, and Laëtitia M. Bréchet

Our knowledge of how greenhouse gas (GHG) fluxes vary from the soil to the tree canopy is limited, particularly in upland tropical rainforests. In this case study, we show changes in the fluxes of the primary GHGs (carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O)) along the soil - stem continuum, and their relationships with corresponding stem traits at different heights. To do this, we used static chambers to measure the GHG fluxes from three stems, both on the surrounding forest floor and at eight heights ranging from 0.5 m to 30 m, while also assessing tree traits at these heights. We selected representative emergent trees from a tropical forest in French Guiana, South America. We found no clear pattern in the GHG fluxes along the stems, with highly variable CO₂ emissions and alternating CH4 and N2O emissions and uptake. Regression analysis showed that stem traits related to the tree’s surface area, bark, and sapwood partly explain the measured fluxes along the stem height. For CO₂ fluxes, the best explanatory variables are identified as bark surface temperature, bark water content, and sapwood density; for CH₄ fluxes, the key drivers are tree diameter, bark water content, and bark surface temperature; and for N₂O fluxes, the more influential variables are sapwood density, and sapwood water content. We concluded that the variability in GHG fluxes along the stems was not only specific to tree traits, but also to individual trees. These findings pose a challenge for scaling efforts - it will not be trivial to create bottom-up estimates of tree-impacted fluxes, and a convergence of approaches will be needed to generate a complete GHG balance for these ecosystems.

How to cite: Khatiwada, K. R., Janssens, I. A., Richter, A., Runkle, B., Stahl, C., and Bréchet, L. M.: Testing vertical influences on greenhouse gases fluxes (CO2, CH4 and N2O) along tropical tree stems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6055, https://doi.org/10.5194/egusphere-egu26-6055, 2026.

EGU26-8335 | ECS | Posters on site | BG3.15

Long-Term Nitrogen Addition Reshapes Methane and Nitrous Oxide Fluxes and Microbial Functional Potential in European Beech Forest Soil 

Thomas Schindler, Carme Lopez-Sanchez, Stefania Mattana, Hannes Warlo, Rosella Guerrieri, Angela Ribas, and Katerina Machacova

European beech (Fagus sylvatica L.) is a both native and extensively cultivated species found in Central and Southeast Europe's upland forests. These beech forests soils are known to emit nitrous oxide (N₂O), sequester methane (CH₄), and release carbon dioxide (CO₂), individually influenced by specific site conditions. The interplay of nitrogen (N) and carbon cycling, along with greenhouse gas (GHG) turnover in these forests, is affected by N deposition, but the long-term effects of N-deposition on GHG exchange involving soil and mature trees are not well understood.

We examined how simulated increased N-deposition affects GHG emissions and soil N-composition in a pre-alpine eutrophic beech forest in Northeastern Italy, subjected to high N-addition. Since 2015, the site has undergone N-manipulation involving four treatments with three replicates: control (N0, ambient N-deposition), above canopy N-addition (N30A, 30 kg/ha*yr N), and soil N-addition at 30 and 60 kg/ha*yr, respectively (N30 and N60). For this study, one plot for each treatment was considered. In September 2023, we measured N₂O, CH₄, and CO₂ fluxes from stems and accompanying soil, and analyzed soil samples for biological and physico-chemical properties.

Beech stems acted as net CH₄ sinks and CO₂ sources, with limited N₂O exchange, unaffected by nine years of artificial N-treatment. Similarly, soil CO₂ emissions remained unchanged, but soil CH₄ uptake increased by 40% in N30 and N60 plots. Conversely, N-treated plots showed significantly lower soil N₂O emissions than controls (nearly 50-fold difference). High flux variability suggests that the observed effects cannot be solely ascribed to N-treatment, likely due to the influence of complex micro-topography.

Soil analyses revealed that N-addition strongly affected soil chemistry, and microbial functional diversity. Control plots maintained higher concentrations of nitrate, nitrite, and total dissolved inorganic nitrogen, indicating enhanced N-consumption or transformation rates under elevated inputs. The N-addition reorganized the microbial community, marked by increased richness and evenness and a shift towards reductive processes, confirmed by the enrichment of genes associated with assimilatory and dissimilatory nitrate reduction and denitrification. Furthermore, carbon cycle responses included increased methanotrophic capacity in N60, evidenced by pmoA gene enrichment, while this effect was absent in canopy-applied treatments.

Overall, while long-term N-addition did not significantly alter GHG stem fluxes, it facilitated greater soil CH₄ uptake through increased microbial methane oxidation capacities and caused substantial restructuring of microbial communities with increased N-reduction potential.

This research was supported by the Ministry of Education, Youth and Sports of CR within the programs LU-INTER-EXCELLENCE II [LUC23162] and CzeCOS [LM2023048], project AdAgriF-Advanced methods of greenhouse gases emission reduction and sequestration in agriculture and forest landscape for climate change mitigation [CZ.02.01.01/00/22_008/0004635], and by the Spanish Government grants PID2024-162617NB-I00 funded by MCIN, AEI/10.13039/ 501100011033 EU Next Generation EU/PRTR

How to cite: Schindler, T., Lopez-Sanchez, C., Mattana, S., Warlo, H., Guerrieri, R., Ribas, A., and Machacova, K.: Long-Term Nitrogen Addition Reshapes Methane and Nitrous Oxide Fluxes and Microbial Functional Potential in European Beech Forest Soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8335, https://doi.org/10.5194/egusphere-egu26-8335, 2026.

EGU26-8685 | ECS | Posters on site | BG3.15

Multi-pathway methane and nitrous oxide emissions from Acacia plantations on tropical peatlands 

Steven Gunawan, Nurholis Nurholis, Nardi Nardi, Ari Putra Susanto, Suci Ramadhanti, Safira Dyah Kusumawardhani, Rico Wenadi, Aquilla Garry Andrean Samosir, Kevin Yap Jurgen, Pitri Rohayani, Abdul Jabbar, Nurul Pertiwi, Sofyan Kurnianto, Vincent Gauci, Josep Barba, Fahmuddin Agus, and Chandra Shekhar Deshmukh

Tropical ecosystems are major contributors to global methane (CH₄) emissions, yet substantial uncertainties remain in both top-down and bottom-up estimates. Such uncertainties partly can be attributed to limited understanding of various emissions and uptake pathways in tropical ecosystem. Most field measurement of CH4 focused solely on soil-atmosphere exchange, overlooking other exchange pathways. Furthermore, several studies from natural forest ecosystem confirmed significant CH4 emission from tree stems. However, such quantification remains scarce in tropical forest plantations, which constitute significant proportion of current land use. A better quantitative and process-based understanding of CH4 emissions, removals, and transport pathways is therefore essential for improving regional and global CH4 budgets and mitigation strategies, especially under changing climate and land use.

In this study, we measured soil and stem CH4 fluxes from two managed plantation forests (Acacia and Eucalyptus plantations) and two natural forests ecosystem (peat swamp forests and riparian forests) in Sumatra, Indonesia. We used LI-8200-01S (LICOR, USA) for soil and semi-rigid chambers made with polyethylene terephthalate (PET) plastic sheets for stem measurements. We used LI-7810 (LICOR, USA), connected to the chambers during the measurement period to measure the CH4 concentration. The fluxes were calculated using a linear function of changes in CH4 concentration during incubation time.

The preliminary result shows that plantation emits significantly smaller CH4 from both soil and stem compared to respective natural forested ecosystems, indicating that land-use change substantially alter the methane production, consumption, and transport processes. We observed a clear decreasing stem CH4 fluxes with increasing stem height in both ecosystems on peat, strongly suggest a soil-originated CH4 transport mechanism. Interestingly, no significant difference between stem height was detected in Eucalyptus plantations and adjacent riparian forests. Tree stems acted as net CH4 sources across all ecosystems. Soil surfaces functioned as CH4 sources in peatland ecosystems but as net CH4 sinks in Eucalyptus plantations and adjacent riparian forests. These results demonstrate strong contrasts in soil–stem CH4 dynamics between peatland and non-peatland ecosystems in tropics. Comprehensive, pathway-specific assessments are therefore required to reduce uncertainties in tropical CH4 budgets.

How to cite: Gunawan, S., Nurholis, N., Nardi, N., Susanto, A. P., Ramadhanti, S., Kusumawardhani, S. D., Wenadi, R., Samosir, A. G. A., Jurgen, K. Y., Rohayani, P., Jabbar, A., Pertiwi, N., Kurnianto, S., Gauci, V., Barba, J., Agus, F., and Deshmukh, C. S.: Multi-pathway methane and nitrous oxide emissions from Acacia plantations on tropical peatlands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8685, https://doi.org/10.5194/egusphere-egu26-8685, 2026.

EGU26-10870 | ECS | Posters on site | BG3.15

Fire-driven shifts in nitrous oxide emissions in boreal peatland soils  

Saana Hakkola, Jonna Teikari, Mika Korkiakoski, Mari Pihlatie, Tatu Polvinen, and Heidi Aaltonen

In parts of the northern boreal zone, a significant number of peatlands have previously been drained for forestry. Climate change is increasing the frequency of forest fires, making these peatland forests particularly vulnerable to wildfires due to thick organic layers and low water table levels. Peatlands store approximately 10% of global soil nitrogen (N) and peatland forests in particular may act as a source of nitrous oxide (N2O), which is a potent greenhouse gas contributing to ozone depletion. Although forest fires affect several factors influencing soil N dynamics, very little is known about the impact of wildfires on the N cycle and N2O emissions on burned peatland sites. We investigated these impacts with a peat column experiment by simulating forest fire conditions with controlled burning. 

We collected peat profiles up to 50 cm depth from three different undrained and drained peatland sites in Southern Finland in May 2025 (n=50). Peat columns were incubated outdoors for three months, and half of the columns were scorched in mid-summer with a gas torch to simulate a surface fire. During the experiment period, N2O, carbon dioxide (CO2), and methane (CH4) were measured weekly. After three months, incubated columns were dissected, and peat samples were collected to analyze soil physicochemical parameters, microbial community structure, and the quality of soil organic matter.  

Preliminary results suggest that nutrient-rich peatland forests act as N2O sources under favorable conditions for N2O production, while nutrient-poor sites are negligible as N2O sources. The fire appeared to shift these patterns and temporarily increase N2O emissions across peatland types. Further analyses will evaluate how post-fire changes in different peat N pools relate to observed N₂O flux dynamics. 

How to cite: Hakkola, S., Teikari, J., Korkiakoski, M., Pihlatie, M., Polvinen, T., and Aaltonen, H.: Fire-driven shifts in nitrous oxide emissions in boreal peatland soils , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10870, https://doi.org/10.5194/egusphere-egu26-10870, 2026.

EGU26-13079 | ECS | Posters on site | BG3.15

Constraining temporal and spatial variations of methane flux in a temperate wet woodland  

Stephanie Batten, Gary Egan, Mark Lee, Rebecca Fisher, Alice Milner, Phil Wilkes, Scott Davidson, and David Lowry

Atmospheric methane (CH4) concentrations are rising globally, and evidence suggests natural sources may be responsible. Forests represent the largest terrestrial sink in the global CH4 budget, however CH4 emissions from certain forest ecosystems – wet woodlands (i.e. forested wetlands) – remain poorly constrained. Due to their hydrology, the anoxic soils in wet woodlands provide suitable conditions for methanogenesis. Little is known about the spatial or temporal patterns of CH4 flux in these ecosystems, and the environmental variables that drive these, due to insufficient understanding of biogeochemical mechanisms and limited observations.

To address this, we used hourly-resolved automatic chambers, complimented by a greater expanse of monthly manual chambers to compare CH4 and carbon dioxide (CO2) flux to soil parameters in a temperate wet woodland (Wakehurst, Sussex, UK). From observations over two years, we show that soil temperature is the dominant control of CH4 flux from the wet woodland soil once within high soil moisture (>40%) or water table depth (WTD) (< 0.2m); at lower moisture, changes in WTD and moisture determine CH4 flux. Large seasonal variations were present, where CH4 emissions peaked in summer months (44.05 ±1.15 nmolm-2s-1 (mean)), and reduced in winter (7.54 ± 0.078 nmolm-2s-1 (mean)), with measurements in drier soil moving from source to sink. A diurnal cycle in CH4 flux positively correlated with soil temperature was revealed, with diurnal and seasonal variation comparable in magnitude, highlighting the importance of high temporal resolution flux measurements. Diurnal cycles changed significantly on the hottest days (>90th percentile soil temperature), with diurnal amplitudes of CH4 higher (~100 ppb) than the general trend (~20 ppb).

The large spatial, seasonal and diurnal variability in methane flux we report are significant for quantifying and understanding CH4 emissions from these small fragmented forest ecosystems, which are currently highly uncertain or missing in model estimates. The relationship to soil temperature suggests rising summer temperatures may lead to an increase in summer CH4 emissions in future climate scenarios, and highlights the importance of constraining and understanding this ecosystem within the global CH4 budget.

How to cite: Batten, S., Egan, G., Lee, M., Fisher, R., Milner, A., Wilkes, P., Davidson, S., and Lowry, D.: Constraining temporal and spatial variations of methane flux in a temperate wet woodland , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13079, https://doi.org/10.5194/egusphere-egu26-13079, 2026.

EGU26-16812 | ECS | Orals | BG3.15

Interactive effects of soil moisture and temperature on methane uptake and microbial community dynamics in an upland forest soil 

Jana Täumer, Olivia Schaffer, Axel Kitte, and Susanne Liebner

Aerated soils, especially forest soils, are a sink for atmospheric methane, oxidizing an average of 30 to 40 Tg (bottom-up and top-down estimates) of this powerful greenhouse gas each year. Methane-oxidizing microorganisms, i.e., methanotrophs, mediate this methane sink. Soil methane uptake (SMU) depends primarily on environmental factors, such as soil water content and temperature. Climate change is expected to alter these soil properties, affecting SMU, but more research is needed to understand how SMU will respond to combined changes in temperature and precipitation.

To investigate how soil water content and temperature interact to regulate SMU and methanotroph abundance, we established a rain exclusion experiment in an upland forest soil on the Telegrafenberg campus, Potsdam (Germany), and began monitoring SMU and microbial community composition and abundance at the 0-10 cm soil depth. Soil methane uptake is measured biweekly using a chamber-based method, while microbial abundances are assessed monthly by qPCR (pmoA, mcrA, and 16S rRNA gene) and 16S rRNA gene sequencing. Additionally, we measured methane uptake and microbial gene abundances of soil samples from the same location in controlled laboratory incubations at varying water contents and temperatures.

The incubation experiment revealed that SMU was highest at 35% and 65% of the maximum water-holding capacity. The incubations with 100 and 130% WHC even switched to methane production. The community composition shifted along the moisture gradient and differed significantly across water levels. Regarding the methane-cycling community, there was an increase in Methylocystis, Methanobacteria and Methanocella, and in the high-water content treatments. The community composition of methanotrophs was dominated by Methylocapsa and Methylocella. The differences in methane uptake were accompanied by differences in the abundances of microbial genes (mcrA and pmoA). So far, all forest plots show high methane uptake, and the methanotroph community is dominated by type II methanotrophs. Our research will provide valuable insights into how climate change may impact SMU and the associated microbial community in upland forest soils.

How to cite: Täumer, J., Schaffer, O., Kitte, A., and Liebner, S.: Interactive effects of soil moisture and temperature on methane uptake and microbial community dynamics in an upland forest soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16812, https://doi.org/10.5194/egusphere-egu26-16812, 2026.

EGU26-16952 | Orals | BG3.15

Persistent and increasing forest floor methane consumption in a boreal mineral-soil pine forest over seasons and years 

Markku Koskinen, Tatu Polvinen, Anuliina Putkinen, Elisa Vainio, Kira Ryhti-Laine, Sirpa Rantanen, Matti Loponen, Pauliina Schiestl-Aalto, Pasi Kolari, Henri Siljanen, and Mari Pihlatie

Mineral soil forest floors often act as net methane (CH4) sinks. The contribution of the different components of the forest floor, such as soil, shrubs, mosses and their roots and the roots of trees, to the sink and the factors affecting their contribution are not well known. Predicting the CH4 flux dynamics of forests requires understanding the component fluxes and drivers, such as microbial population, soil moisture and temperature, and composition and coverage of the forest floor vegetation.

The CH4 exchange of the forest floor at the SMEAR II experimental forest in central Finland (Hari & Kulmala, 2005) was monitored using manual and automated chambers for a total of more than 10 years (2006-2016 manually, 2021-mid 2023 and mid 2025 onwards automatically). In addition, a manipulation experiment was conducted using manual chambers where either tree, shrub or mycorrhizal roots were excluded by trenching. Also, the effect of above ground vegetation (shrubs, mosses) on CH4 flux dynamics was studied. The humus and soil layers next to the automated chambers were inspected for presence of methanotrophs.

We found that the forest floor is a persistent sink for CH4 through the year, CH4 being consumed even during winter on all measurement plots. The general trend in the long-term measurements was towards a larger sink during growing season. Increasing soil temperature increased the sink during the growing season, while soil moisture decreased it. During growing season, a diurnal pattern was observed where higher CH4 consumption occurred during night time.

In the trenching experiment the exclusion of tree, shrub or mycorrhizal roots did not affect soil CH4 uptake, however, the cutting all above ground vegetation increase CH4 uptake compared to presence of normal vegetation (shrubs and mosses). Based on the probe-targeted metagenomic sequencing, methanotrophic bacteria within the organic and mineral soil layers consisted mainly of alphaproteobacterial high-affinity oxidizers, including taxa potentially adapted to oxygen-limited conditions.

Hari, P., & Kulmala, M. (2005). Station for Measuring Ecosystem-Atmosphere Relations (SMEAR II). Boreal Environment Research, 10(5), 315-322.

How to cite: Koskinen, M., Polvinen, T., Putkinen, A., Vainio, E., Ryhti-Laine, K., Rantanen, S., Loponen, M., Schiestl-Aalto, P., Kolari, P., Siljanen, H., and Pihlatie, M.: Persistent and increasing forest floor methane consumption in a boreal mineral-soil pine forest over seasons and years, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16952, https://doi.org/10.5194/egusphere-egu26-16952, 2026.

EGU26-17309 * | Orals | BG3.15 | Highlight

The Global Methane Budget: the knowns and unknowns 

Marielle Saunois

After carbon dioxide, atmospheric methane is the second most impactful anthropogenic greenhouse gas for global warming. Observations of atmospheric methane in ambient air began in 1978, and now include a wide range of in-situ and remote-sensed observations from the surface, aircraft or from space. Those observations have shown that methane mixing ratio have been multiplied by 2.6 since pr-industrial time and the recent period has experienced record methane growth rate in the atmosphere. This is a well-known and established fact. Questions arise when it comes to methane sources and sinks and the causes of such an increase, sustained by at different rate over time. Different approaches are used to estimates methane sources and sinks: atmospheric inversions use atmospheric mixing ratios measurements to infer methane emissions and sinks (top-down approaches), land-surface models simulate the processes that emit methane at the surface (e.g. wetland and freshwater emissions) or remove methane from the atmosphere (e.g. OH radicals), and inventories estimates anthropogenic emissions based on socio-economic statistics (bottom-up approaches).

Despite significant efforts over the last decades, there are still significant uncertainties in the spatial and temporal quantification of methane sources and sinks. The Global Methane Budget (GMB), under the umbrella of the Global Carbon Project, aims to releases regular synthesis of the methane budget at global and region scales.

This presentation will present the well-known facts, the quite-knowns sources and sinks and their uncertainties, the remaining large uncertainties on the methane budget and its changes over the past decades based on the latest Global Methane Budget activities, and will discussion the not-well knowns and unknows in the methane biogeochemical cycles, including the question of the contribution of the forest ecosystem.

How to cite: Saunois, M.: The Global Methane Budget: the knowns and unknowns, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17309, https://doi.org/10.5194/egusphere-egu26-17309, 2026.

EGU26-18971 | Posters on site | BG3.15

Active microbial nitrous oxide consumption captures nitrogen for plant tissues  

Henri Siljanen, Johanna Kerttula, Krishnapriya Thiyagarasaiyar, Dhiraj Paul, Milja Keski-Karhu, Kaido Soosaar, Ülo Mander, Katerina Machacova, and Lukas Kohl

Nitrous oxide (N2O) is a strong greenhouse gas with the capacity of depleting ozone layer. Nitrous oxide is naturally produced in nitrogen cycle by microbial processes, but anthropogenic activities have increased the emissions to the atmosphere. Agricultural soil management and excessive use of nitrogen fertilizers are the main reason for increased emissions. Nitrous oxide reductase (nosZ) is a key gene required for the reduction of N2O and the consumption of it through microbial processes.

The aim of this work was to observe the effects of increased concentration of N2O to the activation on nosZ genes in microbes from leaf samples. The samples from labelling experiment enabled detecting, whether 15N-N2O labelling affected the nitrogen isotope ratio of the plant tissues. The quantitative analysis of nosZ and 16S rRNA genes was used to evaluate the transcription and activity of the genes. The composition of the microbial population of nosZ genes was determined from data obtained from amplicon sequencing with Illumina Miseq using bioinformatic analysing.

The results showed that amplification of clade I was successful in most of the samples, and there was moderate positive correlation between transcription of clade I and nitrogen fixation to the biomass. Clade II amplified only in one sample. Sequencing analyses revealed a wide range of microbial species with nosZ clade I gene, including species associated with nitrogen fixation.

 

How to cite: Siljanen, H., Kerttula, J., Thiyagarasaiyar, K., Paul, D., Keski-Karhu, M., Soosaar, K., Mander, Ü., Machacova, K., and Kohl, L.: Active microbial nitrous oxide consumption captures nitrogen for plant tissues , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18971, https://doi.org/10.5194/egusphere-egu26-18971, 2026.

EGU26-20187 | Orals | BG3.15

Methane and nitrogen cycling within the tropical tree canopies in the Peruvian Amazon wetlands 

Anuliina Putkinen, Salla Tenhovirta, Eyrún Gyða Gunnlaugsdóttir, Lukas Kohl, Mikk Espenberg, Ülo Mander, and Mari Pihlatie

Tropical forests occupy a substantial share of the Earth’s forested land area. In addition to serving as major carbon reservoirs, these ecosystems influence the global greenhouse gas (GHG) balance by acting both as sinks and sources of methane (CH₄) and nitrous oxide (N₂O). Despite their importance, and sensitivity to climate change, the biogeochemical functioning of tropical forests remains insufficiently understood, particularly with respect to processes occurring in above-ground vegetation.

In this study, we investigated GHG cycling in tree canopies at two peat-swamp forest sites in the Peruvian Amazon: a protected palm swamp reserve Quistococha (3.83417° S, 73.31889° W) and a nearby secondary peatland forest Zungarococha, which served as a reference system.

Field campaigns conducted in November 2023 and May 2024 quantified potential CH₄ and N₂O production and uptake in leaves and twigs of three to four representative tree species (Symphonia globulifera, Mauritia flexuosa, Hevea sp., Tabebuia sp.). Aerobic incubations were performed on-site over 48 hours, with daily gas sampling for analysis via gas chromatography. Biological nitrogen fixation was assessed using 15N isotope labeling over a 72-hour incubation. In parallel, branch material was collected for metagenomic characterization of epiphytic and endophytic microbial communities.

Across all tree species, leaves exhibited small but statistically significant fluxes of both CH₄ and N₂O. In contrast, twig samples displayed species-specific behavior: Hevea sp. acted as a weak sink for both gases, whereas Symphonia globulifera was a consisted source. Considerable variability was observed not only among species but also between the two forest sites within the same species. Nitrogen fixation activity was detected in three of the four studied taxa. Metagenomic analyses revealed the genetic capacity for complete denitrification pathways and for N₂ fixation, while genes associated with nitrification (amoA) were rare. All analyzed tree species contained a high diversity of methanotrophic bacteria. Reads related to methanogenic archaea suggested presence of variable CH4 production pathways.

Our findings highlight tropical tree canopies as active components in the GHG cycling. By linking gas fluxes with the microbial functional potential, this work provides new insights into how above-ground plant–microbe interactions can shape ecosystem-level GHG balance in tropical peatland forests.

How to cite: Putkinen, A., Tenhovirta, S., Gyða Gunnlaugsdóttir, E., Kohl, L., Espenberg, M., Mander, Ü., and Pihlatie, M.: Methane and nitrogen cycling within the tropical tree canopies in the Peruvian Amazon wetlands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20187, https://doi.org/10.5194/egusphere-egu26-20187, 2026.

EGU26-22270 | Posters on site | BG3.15

Strong resilience of stem CO2 fluxes from a mature temperate forest under elevated atmospheric CO2 

Josep Barba, Andrea Rabbai, Robero Salomon, Giulio Curioni, and Vincent Gauci

There is substantial uncertainty regarding how different components of mature forests respond to rising atmospheric CO₂ concentrations under ongoing climate change. Tree stems, in particular, may act as increased carbon sinks due to enhanced growth under CO₂ fertilization, but they may also release more CO₂ as a consequence of higher metabolic rates and accelerated carbon cycling. Here, we investigated stem CO₂ fluxes in a mature oak (Quercus robur) stand exposed to elevated CO₂ since 2016 as part of a Free-Air CO₂ Enrichment experiment (BIFoR FACE, UK; +150 ppm above ambient concentrations). Stem CO₂ fluxes were measured over one year through monthly campaigns at 1.3 m height, and seasonally along the stem profile up to 4 m height. Stem CO₂ fluxes exhibited a pronounced seasonal pattern, with higher rates during the growing season, a decline in autumn, and consistently low fluxes during winter. However, neither the magnitude nor the seasonal dynamics of stem CO₂ fluxes were affected by elevated CO₂. Furthermore, partitioning total stem fluxes into maintenance respiration (associated with the metabolism of living stem tissues) and growth respiration (associated with the biosynthesis of new stem cells) revealed no significant response of either component to elevated CO₂. Stem CO₂ fluxes also showed no consistent vertical gradient along the stem, and this pattern was similarly unaffected by CO₂ enrichment. Overall, these findings indicate a strong functional resilience of stem CO₂ fluxes in mature trees to elevated atmospheric CO₂. This resilience may have important implications for predicting forest carbon balance responses to future climate conditions, particularly in mature temperate forests.

How to cite: Barba, J., Rabbai, A., Salomon, R., Curioni, G., and Gauci, V.: Strong resilience of stem CO2 fluxes from a mature temperate forest under elevated atmospheric CO2, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22270, https://doi.org/10.5194/egusphere-egu26-22270, 2026.

EGU26-22794 | Posters on site | BG3.15

Tree species and forest habitat shape stem methane and nitrous oxide fluxes and sapwood microbial communities 

Laëtitia Bréchet, Clément Stahl, Coline Le Noir de Carlan, Andreas Richter, Damien Bonal, Ivan Janssens, and Erik Verbruggen

Living trees in forests emit or consume methane (CH4) and nitrous oxide (N2O) through their stems. These stem fluxes can originate directly from the internal tissues, or co-occur from soils and stems. However, the magnitudes, origins, and biogeochemical pathways of these fluxes remain poorly understood.

In our study, we aimed to investigate whether tropical forest habitats (upland versus seasonally flooded areas), tree species and composition of the microbial communities living in the sapwood influence the stem fluxes of CH4 and N2O.

To address this, we measured the in situ CH4 and N2O fluxes in the stems of thirteen tropical tree species using static chambers. We investigated the microbial communities in the sapwood by sequencing the 16S rDNA of bacteria and archaea on an Illumina MiSeq platform. Measurements were taken in two contrasting habitats: well-drained, nutrient-poor soil in an upland area, and waterlogged, nutrient-rich soil in a seasonally flooded area of a tropical forest in French Guiana. Fluxes, woody tissue microbial communities, and related tree traits were measured during the wet season.

Overall, we observed a significant effect of forest habitat on sapwood microbial communities, which remained relatively consistent within specific tree species. Stem fluxes per unit of stem surface area were approximately 2.5 times higher for CH4 and lower for N2O in the seasonally flooded forest, compared to the upland forest. Variability in these fluxes was observed not only between the two forest habitats, but also among and within tree species. Surprisingly, methanotrophs and methanotrophs were barely detectable, and denitrifiers and nitrifiers were also scarce in the stem tissues, despite the high CH4 and, to a lesser extent, N2O emissions measured on the stem surfaces. This suggests that, in our site, CH4 and N2O fluxes mainly result from processes occurring in the heartwood, bark, soil, or a combination of these. Further research is needed to shed light on the microbial mechanisms underlying the exchange of CH4 and N2O between the trees and the atmosphere in tropical forest ecosystems.

How to cite: Bréchet, L., Stahl, C., Le Noir de Carlan, C., Richter, A., Bonal, D., Janssens, I., and Verbruggen, E.: Tree species and forest habitat shape stem methane and nitrous oxide fluxes and sapwood microbial communities, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22794, https://doi.org/10.5194/egusphere-egu26-22794, 2026.

EGU26-23183 | Orals | BG3.15

Tree stems dominate methane but not nitrous oxide emissions in a riparian nature-based wastewater treatment system 

Sílvia Poblador, Laura Escarmena, Aitana Izquierdo, Stefania Mattana, Angela Ribas, Núria Roca, and Francesc Sabater

Riparian zone soils are being applied as nature-based solutions for treating wastewater treatment plant effluents via intermittent horizontal subsurface flow systems. While their treatment efficiency is well documented, their role in greenhouse gas (GHG) dynamics, particularly emissions mediated through tree stems, remains largely unexplored. This study quantified tree stem and soil emissions of CO2, CH4, and N2O within an innovative riparian-zone wastewater treatment system and evaluated the influence of hydrological conditions, soil properties, and tree species. From April to October 2023, treated wastewater was applied in alternating wet and dry cycles of one week each, with five sampling campaigns per condition. GHG fluxes were measured from soils (N = 15) and from tree stems at approximately 0.5 m height (N = 18). Concurrently, soil temperature, moisture, pH, and carbon and nitrogen content were assessed. The dominant tree species included Alnus glutinosa, Ulmus minor, Fraxinus excelsior, and the non-native Platanus × hispanica. Soil GHG emissions were primarily driven by environmental conditions. Soil CO2 emissions were mainly controlled by temperature, whereas soil CH4 and N2O were ruled by groundwater table fluctuations. Soil N2O emissions increased under shallower water tables and higher soil temperature and moisture. Soil CH4 fluxes were spatially heterogeneous, with higher emissions in areas where groundwater table was shallower. Overall, the intermittent wet/dry management supported both soil GHG production and consumption without causing a substantial net increase in emissions.Tree stem emissions were strongly species-dependent and often exceeded soil CO2 and CH4 emissions, while N2O emissions were almost negligible. Platanus × hispanica consistently showed the highest stem emissions across all gases, emitting approximately threefold more CO2 and over two orders of magnitude more CH4 than soils. Ulmus minor and Alnus glutinosa also exhibited elevated stem CH4 emissions compared to soils (20 and 9 times higher, respectively), whereas stem N2O emissions were generally about half of soil emissions for all species. Notably, Fraxinus excelsior frequently acted as a sink for N2O. Stem CO2 emissions increased with soil temperature and nitrogen content and peaked during the warmest months but were not influenced by hydrological conditions. In contrast, CH4 emissions displayed a significant interaction between species and wet conditions, suggesting transport of CH4 produced in deeper soil layers through stems or in situ microbial production. N2O fluxes from stems were highly variable, with both emissions and uptake observed, indicating control by microscale and potentially internal stem processes.This study provides the first simultaneous assessment of soil and tree stem GHG emissions in a nature-based wastewater treatment system. The results demonstrate that tree species identity is a critical determinant of stem-mediated GHG fluxes and highlight the need to incorporate vegetation structure, particularly tree stems, into GHG budgets and the design of riparian wastewater treatment systems.

How to cite: Poblador, S., Escarmena, L., Izquierdo, A., Mattana, S., Ribas, A., Roca, N., and Sabater, F.: Tree stems dominate methane but not nitrous oxide emissions in a riparian nature-based wastewater treatment system, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23183, https://doi.org/10.5194/egusphere-egu26-23183, 2026.

EGU26-292 | ECS | Posters on site | BG3.23

Multi-species grass mixtures enhance soil functioning in managed grassland mesocosms 

Robin Tersago, Jeroen Meersmans, Camille Van Eupen, Ben Aernouts, Jan-Willem van Groenigen, Ellen Desie, and Karen Vancampenhout

Multi-species grassland mixtures are gaining popularity in managed grasslands, particularly as a strategy to improve soil functioning and subsequently soil health and climate regulation. However, mechanistic data on the relation between plant diversity and the greenhouse gas (GHG) balance of the soil are still sparse. We conducted a full-factorial mesocosm experiment to determine whether multi-species grassland mixtures can enhance the delivery of ecosystem services compared to traditional perennial ryegrass monocultures. Treatments included two plant communities, two soil types and three cutting frequencies - representing land use intensities under controlled conditions. We measured effects on greenhouse gas (GHG) effluxes (CO2, CH4 and N2O), above- and belowground productivity as well as functional catabolic diversity of soil microbes Linear Mixed Models (LMMs) revealed that plant community and soil type impacted all greenhouse gas effluxes, while cutting frequency only impacted CO2 efflux significantly. Multi-species grass mixtures significantly elevated primary productivity compared to perennial ryegrass monocultures, and influenced functional microbial diversity, even overriding soil type (and therefore legacy) effects on functional microbial diversity over a short timeframe. These improvements in soil functioning can improve the delivery of crucial ecosystem services such as climate regulation, food and feed production and soil habitat and nutrient cycling, which underlines the potential of species-rich grassland mixtures in multifunctional grassland farming systems. Future research should explore long-term field dynamics and validate these findings by making carbon budgets to support climate-smart management strategies.

How to cite: Tersago, R., Meersmans, J., Van Eupen, C., Aernouts, B., van Groenigen, J.-W., Desie, E., and Vancampenhout, K.: Multi-species grass mixtures enhance soil functioning in managed grassland mesocosms, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-292, https://doi.org/10.5194/egusphere-egu26-292, 2026.

EGU26-350 | ECS | Orals | BG3.23

Productivity at a price: mixed pastures show higher ecosystem respiration vulnerability to drought–grazing stress than grass-only patches 

Pankaj Tiwari, Catriona A. Macdonald, Nicholas Wright-Osment, Nor Azizah Kusai, Sally A. Power, and Elise Pendall

Pastures contain a fine-scale mosaic of grass-only (GP) and mixed (grass–legume–forb; MP) patches, whose functional traits shape belowground C inputs and ecosystem respiration (ER). These traits make ER sensitive to drought and frequent grazing, yet their combined effects across patch types remain poorly understood.

To address this, we conducted a 2×2 rainfall × grazing factorial in GP and MP in a field-based temperate pasture climate-manipulation experiment, quantifying the effects of drought, frequent grazing, and their combination on ER, its temperature and moisture sensitivity, and plant C-use efficiency (AGB/ER). Rainfall was based on 30-year records, and grazing simulated via one or three harvests per season. ER was measured during spring, summer, and autumn 2023–2024, and structural equation modelling identified the key pathways by which biophysical factors regulate ER in each patch type.

Highly productive MP, compared to GP, consistently exhibited higher ER (spring: 0.17 vs. 0.11; summer: 0.32 vs. 0.17; autumn: 0.41 vs. 0.12 g C m-2 hr-1), greater C-use efficiency (3.2 ± 0.63 vs. 0.09 ± 0.02), higher apparent temperature sensitivity (Q10: 1.46 vs. 1.22), and weaker moisture constraints. However, this higher functioning came with greater vulnerability: under combined drought and frequent grazing, ER declined non-additively and more sharply in MP (–14.5%, –42.8%, –67.3%) than in GP (–4.6%, –34.2%, –11.2%). C-use efficiency dropped by 80% in MP but remained stable in GP, accompanied by larger reductions in AGB and Q10. Mechanistically, ER in MP was plant-biomass driven, whereas in GP it was microbial-substrate driven, with both indirectly constrained by moisture and temperature-induced soil drying.

These results show that the higher productivity of MP comes at the cost of greater ER vulnerability to drought–grazing stress, offering guidance for grazing management and strengthening predictions of pasture C–climate feedbacks.

 

How to cite: Tiwari, P., Macdonald, C. A., Wright-Osment, N., Kusai, N. A., Power, S. A., and Pendall, E.: Productivity at a price: mixed pastures show higher ecosystem respiration vulnerability to drought–grazing stress than grass-only patches, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-350, https://doi.org/10.5194/egusphere-egu26-350, 2026.

Grassland ecosystems form a cornerstone of terrestrial ecological security and support the livelihoods of millions of people worldwide. Under the combined influences of climate change and human activities, grassland degradation unfolds with pronounced spatiotemporal heterogeneity and marked nonlinearity, features that are particularly evident in ecological transition zones. Here, we focus on the agro–pastoral ecotone of northern China and integrate multi-source remote sensing and geospatial datasets to develop a grassland degradation assessment framework benchmarked against potential maximum net primary productivity(NPPmax). Adopting a change-pathway perspective, we identify long-term trajectory types of grassland degradation and recovery and quantitatively examine their underlying drivers. Our analyses reveal that degradation and recovery processes across the region are largely nonlinear, with abrupt, threshold-like shifts being spatially widespread. Although recovery trajectories dominate at the regional scale, a considerable fraction of grasslands remains locked in persistent moderate to severe degradation, and clear spatial differentiation emerges among trajectory types. Climatic factors primarily shape long-term trends in grassland productivity, while human activities play a pronounced amplifying role: they can accelerate rapid recovery under favorable climatic conditions, yet also precipitate sudden, localized degradation. By moving beyond single rates of change to emphasize dynamic pathways, this study deepens understanding of grassland degradation processes in agro–pastoral ecotones. Our findings underscore the importance of simultaneously accounting for climatic context and human regulation in grassland management and ecological restoration. The proposed framework and insights provide a strong scientific basis for zoned management, risk early warning, and adaptive strategies in ecologically vulnerable regions, and hold broad relevance for ecological transition zones worldwide.

How to cite: Li, W., Zhang, C., and Wang, X.: Nonlinear Grassland Degradation and Recovery Benchmarking Potential Productivity: Evidence from the Agro–Pastoral Ecotone of Northern China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3871, https://doi.org/10.5194/egusphere-egu26-3871, 2026.

EGU26-4573 | ECS | Posters on site | BG3.23

Does space-for-time substitution capture soil carbon recovery in restored dry grasslands of Canada? 

Dauren Kaliaskar and Cameron Carlyle

Canadian grasslands are endangered ecosystems, with nearly two-thirds converted to cropland. Restoring cropland to grassland can help reintroduce biodiversity through the planting of native vegetation, increase soil carbon (С) storage, and reduce greenhouse gases through the establishment of perennial plants. However, grassland restoration is expensive and done primarily on private lands. Consequently, restoration must also benefit farmers by providing forage for livestock and creating healthy, resilient soils.

In the past, few grassland sites have been monitored long-term for soil C accumulation following restoration in the Canadian Prairie, despite the slow rate of change in soil C over time, and even fewer have examined deeper soils (beyond 30 cm).

This study addresses the following questions:

1) How do soil organic and inorganic C pools vary with depth and restoration age?

2) Do these sites also provide other important soil functions and support forage production?

To answer these questions, we sampled 18 restored grassland sites across southern Alberta and Saskatchewan, Canada, spanning a chronosequence from pre-restoration (0 years) to 24 years since seeding. Restoration practice involved a one-time seeding of a mix of native and agronomic plant species, along with exclusion from grazing during the early and mid-growing seasons (April-July) in the year following seeding. Sites were characterized based on local climate conditions and soil properties.

Soil samples were collected in May-June 2024 at depths of 0–15, 15–30, 30–60, and 60–100 cm. Soil samples were analysed for organic and inorganic C, moisture, texture, pH, and electrical conductivity. Plant surveys and biomass harvests were conducted in July 2024 to examine community composition and forage production. Climate variables were summarized using the annual heat-moisture index. Soil C and function, and vegetation responses to restoration were assessed using two complementary approaches: (1) chronosequence analysis to test space-for-time assumptions and assess temporal patterns in soil C pools, and (2) AICc-based model selection to quantify the relative influence of vegetation, climatic, and edaphic predictors.

Local climate and soil conditions played a dominant role in the rate of grassland restoration and C distribution within the soil profile, while established plant community composition was associated with changes in soil C storage and forage quality. This study provides a robust evaluation of space-for-time substitution for soil C recovery by examining organic and inorganic C responses across the one-meter soil profile using a large set of restoration sites, addressing limitations of previous studies. Together, these results improve understanding of soil and vegetation responses to restoration and provide new information for producers and policymakers supporting grassland restoration management.

How to cite: Kaliaskar, D. and Carlyle, C.: Does space-for-time substitution capture soil carbon recovery in restored dry grasslands of Canada?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4573, https://doi.org/10.5194/egusphere-egu26-4573, 2026.

EGU26-5083 | ECS | Posters on site | BG3.23

Between Management Extremes: Moderation Sustains Plant Productivity, Rhizosphere Microbiome, and Nutrient Cycling in Drying Savannahs 

Moses Ngugi, Svenja Stock, Rosepiah Munene, Callum Banfield, Lingling Shi, and Michaela Dippold

Grassland management practices, including frequent plant biomass removal, have intensified globally to enhance productivity. However, intensification leads to shifts in plant composition and plant–microbe interactions, with poorly understood implications for ecosystem functions, such as nutrient cycling, and their stability under climatic stress. We hypothesised that biomass removal frequency has an intermediate optimum at which plant–microbe–soil interactions stabilise ecosystem functions under drought, whereas both low and high removal frequencies reduce resilience to climatic stress. In a native managed African tropical grassland, we applied four above-ground biomass removal frequencies (1×, 2×, 3×, and 6× cuts annually). Intact soil-core mesocosms were grown under controlled conditions and subjected to drought stress in a split-plot, completely randomised design, combined with a 13CO₂ pulse-labelling approach. We determined plant productivity, photosynthetic 13C assimilation, belowground C allocation, arbuscular mycorrhizal fungi (AMF) colonisation, microbial biomass carbon (MBC), extracellular enzyme activities (EEAs), and rhizosphere microbial community structure to assess the impacts on C allocation and nutrient cycling. Under well-watered conditions, high biomass removal frequencies (3× and 6×) increased shoot productivity and 13C assimilation relative to low frequencies (1× and 2×). The EEAs (C, N, and P cycling) and proportion of 13C in rhizodeposits increased progressively with an increase in cutting frequency. Low cutting frequencies promoted fungal-dominated rhizosphere communities, particularly saprotrophic fungi, whereas high frequencies favoured bacterial dominance. Drought stress significantly reduced plant productivity, 13C assimilation and root biomass at high cutting frequencies. In addition, drought reduced 13C incorporation into total phospholipid fatty acids (PLFA) by 53% at high cutting frequencies and by 22% at low frequencies. Notably, despite significant reductions in root biomass and 13C assimilation under drought, root AMF colonisation and 13C allocation to soil AMF were consistently higher under drought and progressively increased with decreasing cutting frequency. This reflects a greater plant reliance on microbially mediated nutrient and water acquisition during drought. Overall, our results demonstrate that biomass removal frequency modulates drought impacts on rhizosphere nutrient cycling via shifts in plant functional traits, from resource-conservative (“slow”) to resource-acquisitive (“fast”) species, alongside a reshaping of soil microbial communities from oligotrophic to copiotrophic dominance. These findings highlight the inherent trade-offs between ecosystem productivity and an enhanced resilience to increasingly frequent and intense climate-change-induced stresses, underscoring the need for locally adapted management practices.

How to cite: Ngugi, M., Stock, S., Munene, R., Banfield, C., Shi, L., and Dippold, M.: Between Management Extremes: Moderation Sustains Plant Productivity, Rhizosphere Microbiome, and Nutrient Cycling in Drying Savannahs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5083, https://doi.org/10.5194/egusphere-egu26-5083, 2026.

EGU26-5788 | ECS | Posters on site | BG3.23

Challenges in estimating plant available water in stony forest soils 

Anne Doat, Caroline Vincke, and Mathieu Javaux

Stony soils are very common in non-agricultural landscapes. Yet, characterizing the hydraulic properties of stony subsoil is necessary but technically complex.

In this study, we aim to improve the characterization of stony subsoils by addressing two critical aspects: (i) the estimation of coarse fragment content and (ii) the water retention of stones. Both factors potentially influence plant available water capacity - a key input for many hydrological models - and its uncertainty, yet they are rarely quantified in deep horizons.

Our methodology involved eleven forest sites in Wallonia (Belgium), where soil pits were excavated down to 2 m depth to capture the vertical variability of soil texture, stoniness, hydraulic properties. Coarse fragment content was assessed by horizon using four approaches: two in situ methods and two laboratory-based methods applied to samples of different sizes. Additionally, we carry out measurements on stones to measure available water between field capacity and wilting point.

Preliminary results underline the importance of adapting soil sampling volume and method to the degree of soil heterogeneity to quantify stone water availability at the profile scale. Our results also indicate that certain rock types can hold up to 15 % of their volume of plant available water, challenging the common assumption that their contribution is negligible.

How to cite: Doat, A., Vincke, C., and Javaux, M.: Challenges in estimating plant available water in stony forest soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5788, https://doi.org/10.5194/egusphere-egu26-5788, 2026.

EGU26-5939 | ECS | Posters on site | BG3.23

Sustainable subsoil management promotes soil carbon sequestration while sustaining crop productivity 

Zhenzhen Li, Zheng-Rong Kan, Amelung Wulf, Hai-Lin Zhang, Lal Rattan, Roland Bol, Xinmin Bian, Jian Liu, Yaguang Xue, Feng-Min Li, and Haishui Yang

Increasing soil organic carbon (SOC) stocks while maintaining high crop productivity remains a critical challenge in paddy-based cropping systems. Widely adopted conservation practices, such as no-till and straw mulching, often show limited potential for subsoil carbon sequestration and may even reduce yields under flooded conditions. Here, we evaluate a subsoil-oriented management practice, ditch-buried straw return (DB-SR), designed to address both constraints simultaneously. Based on a 15-year rice–wheat rotation field experiment, DB-SR significantly increased SOC stocks at 0–40 cm depth by 46%. DB-SR also increased grain yield by 15% without additional fertilizer inputs. Moreover, DB-SR reduced net CO₂-equivalent emissions by 34% and increased net economic benefits by 18%, indicating clear environmental and agronomic advantages. A meta-analysis of field studies across China further confirmed that DB-SR consistently outperformed other straw return and tillage practices in promoting subsoil SOC accumulation and increasing crop yield. Overall, our findings suggest that DB-SR shows strong potential as a subsoil management strategy to enhance subsoil carbon sequestration while sustaining high crop productivity.

How to cite: Li, Z., Kan, Z.-R., Wulf, A., Zhang, H.-L., Rattan, L., Bol, R., Bian, X., Liu, J., Xue, Y., Li, F.-M., and Yang, H.: Sustainable subsoil management promotes soil carbon sequestration while sustaining crop productivity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5939, https://doi.org/10.5194/egusphere-egu26-5939, 2026.

Understanding the vertical distribution of soil biota is essential for predicting soil functioning, nutrient cycling, and ecosystem responses to environmental gradients such as elevation and climate. We studied the depth distribution of soil macrofauna, nematodes, and soil microbes (using phospholipid fatty acid analysis, PLFA), together with basic soil parameters, along an elevational gradient from approximately 90 to 2700 m a.s.l. in a temperate climate (Europe) and a tropical climate (Papua New Guinea). Soil profiles were sampled using hand-dug soil pits to a depth of 1 m.

The density of all faunal groups as well as microbial biomass decreased with increasing soil depth; however, the depth patterns varied among elevations. Soil biota reached the greatest depths at the lowest part of the gradient, particularly in alluvial soils characterized by a deep A horizon, and also at sites close to or above the tree line where A horizon was also quite deep. These results indicate that both soil development and elevation-related environmental constraints strongly influence the vertical distribution of soil organisms, highlighting the importance of considering soil mainly A horizon depth and landscape position when assessing biodiversity and ecosystem processes along elevational gradients.

How to cite: Frouz, J.: Vertical distribution of soil biota along elevation gradient in temperate and tropical climate., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6895, https://doi.org/10.5194/egusphere-egu26-6895, 2026.

EGU26-7169 | Posters on site | BG3.23

Tillage effects on plant water and nitrate uptake compare topsoil to subsoil 

Qiaoyan Li and Kristian Thorup kristensen

Different soil management practices and crop species can significantly influence the plant water and nitrogen use. However, how this affects the plant nitrate (NO3-) and water use efficiency from different soil depths, particularly from deep subsoil layers, remains unclear. In this study, we aimed to investigate variations in plant water and nitrogen uptake efficiency across topsoil and subsoil layers under till and no-till soil management practices. A mixture of 2H2O and Ca (15NO3)2 was injected into the soil columns at depths of 20 cm, 60 cm, and 90 cm using customized suction cups in both till and no-till plots. During the installation of the suction cups, soil samples were taken from 10–20 cm, 50–60 cm, and 80–90 cm depth intervals for subsequent nitrate analysis. Aboveground plant tissues were sampled from winter wheat and maize at two field sites in 2025 as an initial test of the method. We plan to expand this approach to five sites across different European countries in 2026. Plant material was collected on the fourth- and eighth- days following tracer injection, including tillers from winter wheat and top leaves, cobs, and stems from maize. The experimental setup provides a promising approach for tracing plant uptake from different soil depths, especially subsoil. We anticipate that this method will help identify variations in plant water and nitrogen uptake across different soil depths and may become a method that allows more routine inclusion of the subsoil in different studies of plant water and nitrogen uptake. This work will contribute to ongoing efforts to evaluate the impacts of conventional and sustainable soil management practices on resource use efficiency.

How to cite: Li, Q. and kristensen, K. T.: Tillage effects on plant water and nitrate uptake compare topsoil to subsoil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7169, https://doi.org/10.5194/egusphere-egu26-7169, 2026.

EGU26-7970 | Orals | BG3.23

Biogeochemistry and sustainable management of the subsoil 

Wulf Amelung, Haishui Yang, and Sara Bauke

More than half of the soil water and nutrients are allocated below a 30 cm soil depth. Yet, this reservoir is hardly included in soil management strategies and is sometimes not even accessible to plants due to root-restricting layers. Here, we present an overview of different research projects on (i) the coupling and decoupling of subsoil biogeochemistry from topsoil processes under different management practices, (ii) the option to manipulate subsoil access through biopores and deep-rooting plants, and (iii) the success of subsoil management through compost injection and burial of straw for the cropping of rainfed (barley, maize) and flooded cereals (paddy rice), respectively. We show that plants are key to connecting top- and subsoil processes, but that it takes decades to centuries for subsoil processes to reach new steady-state equilibria. The interactions between sub- and topsoils, however, can be disentangled using stable and geogenic isotope tracing techniques, such as δ¹⁸O and ⁸⁷Sr/⁸⁶Sr, and can be utilized for management via biological or mechanical techniques to lower the physical resistance of soil to plant growth. Intelligent management of subsoil offers new options for making land use more resilient to climate change and for maintaining high productivity and sustainability with lower long-term fertilizer requirements.

How to cite: Amelung, W., Yang, H., and Bauke, S.: Biogeochemistry and sustainable management of the subsoil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7970, https://doi.org/10.5194/egusphere-egu26-7970, 2026.

The volume and connectivity of the soil macropore network play a key role in soil functioning. Cylindrical pores formed by biotic processes, known as biopores, are essential components of the network because they are typically continuous over longer distances and connect different soil regions. They are therefore fundamental to near-saturated hydraulic and gas-exchange properties, to delineating habitats for soil fauna, and to low-resistance pathways for root growth to deeper soil layers. So far, detailed studies quantifying soil macropore network morphologies have predominantly focused on topsoils. Little is yet known about macropore networks in the subsoil with respect to soil depth, land use, and soil management, especially at depths greater than 0.5 m. This study addresses this knowledge gap by examining the average and variability of macropore network morphologies and the distribution of biopores across different soil horizons down to 1.5-2 m at three agricultural sites located in Belgium, Germany, and Switzerland. Each site included three sampling pits, two in croplands under two contrasting management systems (e.g., conventional tillage vs. reduced tillage) and one in adjacent grassland. Eight undisturbed 250 cm³ aluminium soil cores were sampled from every soil horizon identified in the respective sampling pits, as well as from the transition area between the A and B horizons, resulting in a total of 434 samples [3 sites × 3 pits × (5 – 7) horizons × 8 replicates]. X-ray computed tomography was performed at a voxel resolution of 90 µm. All imaged air-filled macropores were segmented, and cylindrical pores were extracted as biopores. The effects of soil depth, land use, and cropland management on the imaged pore and biopore network morphologies and on the variability of pore structure across soil horizons will be investigated using linear mixed-effect models. We hypothesize that i) the variability of the soil macropore network morphology will decrease with depth; ii) the diameter and volume of biopores will decrease with depth; and iii) the effects of land use and management will be limited to the uppermost B subhorizon. The results from this study provide insight into how land use, agricultural management, and soil depth influence soil macropore structures, which is crucial for understanding and predicting subsoil health, specifically soil functioning related to air, water, and solute transport properties, and soil habitat quality for roots and fauna.

How to cite: Fu, Y., Koestel, J., and Weller, U.: Quantifying soil macropore morphology and biopore distribution at different subsoil horizons in European agricultural soils using X-ray CT, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9667, https://doi.org/10.5194/egusphere-egu26-9667, 2026.

EGU26-9710 | ECS | Orals | BG3.23

Grasslands and soil carbon: What can livestock management practices teach us? A global map of scientific knowledge 

Camille Rousset, Luís mendes, Markus van der Meer, Julian Esteban Rivera, Carmen Segura, Mike Bastidas, Anina Gilgen, Marta Alfaro, Mike Dodd, Batnyambuu Dashpurev, Lutz Merbold, Julián Chará, and Eduardo Vazquez

Grasslands represent a vast resource, covering >40% of the Earth’s land surface, supporting biodiversity, reducing erosion risks, and storing carbon (C) in soils. Yet they are increasingly threatened by land-use intensification, land degradation, and climate change. In response to these multiple pressures, numerous scientific studies have examined how grasslands function and what their environmental and socio-economic roles are across diverse climatic, soil, and management contexts. To provide an integrated overview of this complexity, we developed the first systematic global map that synthesises scientific knowledge from field experiments investigating how grassland management practices influence soil C in livestock systems1.

For this global synthesis, 31215 scientific studies in five languages were screened from several major databases (e.g., Web of Science, Scopus, CABI). Each publication was assessed using strict inclusion and exclusion criteria to ensure the reliability of the data retained1. We extracted and mapped information on management practices, from grazing and fertilisation to irrigation, plant composition, and biochar addition, as well as on soil C measurement types (e.g., concentration, stock, sequestration rate), pedoclimatic contexts, and experimental approaches (e.g., study duration, randomisation).

Between 1991 and 2024, the number of studies investigating the effects of grassland management on soil C increased exponentially. Most research has been conducted in temperate, high or upper-middle-income regions, particularly in China, the United States, and parts of Europe, while major gaps persist in Africa and tropical regions. Research has primarily focused on grazing (presence/absence, stocking density), fertilisation, and plant community management. More than half of the studies relied on established agricultural plots, using a space-for-time substitution approach (i.e. comparing long-term management sites to infer temporal trends).

This global map highlights both areas with relevant knowledge and knowledge gaps: key practices such as silvopastoral systems or grazing duration remain understudied. Gaining a deeper understanding of the effects of management practices on C sequestration and soil C fractions, particularly at depths beyond the top 30 cm, is essential to refine models and enhance the accuracy of global C stock estimates.

The compiled dataset represents a valuable resource for the scientific community. It can support future meta-analyses or the identification of knowledge gaps that merit further investigation.

 

Acknowledgements
This research was developed within the framework of the European Joint Program for SOIL, "Managing and Mapping Agricultural Soils for Enhancing Soil Functions and Services" (EJP SOIL), project CARBOGRASS, funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement No. 862695).

 Reference

1. Rousset, C., Segura, C., Gilgen, A. et al. (2024). What evidence exists relating the impact of different grassland management practices to soil carbon in livestock systems? A systematic map protocol. Environmental Evidence, 13, 22. https://doi.org/10.1186/s13750-024-00345-2

How to cite: Rousset, C., mendes, L., van der Meer, M., Rivera, J. E., Segura, C., Bastidas, M., Gilgen, A., Alfaro, M., Dodd, M., Dashpurev, B., Merbold, L., Chará, J., and Vazquez, E.: Grasslands and soil carbon: What can livestock management practices teach us? A global map of scientific knowledge, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9710, https://doi.org/10.5194/egusphere-egu26-9710, 2026.

EGU26-10372 | Posters on site | BG3.23

Impact of subsoil melioration on water use of arable crops: case studies from Germany and South Africa 

Leah Eitelberg, Wulf Amelung, Elmarie Kotzé, Gert Ceronio, Schweitzer Kathlin, Schmittmann Oliver, and Bauke Sara Louise

Subsoils represent an important yet poorly studied component of terrestrial ecosystems. By storing large quantities of water, carbon and nutrients, the subsoil has the potential to support plant productivity. Especially during dry spells, which are assumed to intensify with climate change, subsoil water resources provide a valuable buffer to reduce water stress. However, deep root growth is frequently hampered by the presence of root-restricting layers, such as dense subsoil horizons. Hence, subsoil management options should be established to support plant growth.

We conducted field experiments in arable regions in Germany and South Africa to test whether soil water storage and crop water use efficiency (WUE) could be enhanced through subsoil amelioration by biological and mechanical deep loosening in combination with the incorporation of organic material.

We analyzed stable oxygen isotope (δ18O) values at different soil depths to determine water uptake depth using the Bayesian statistical model MIXSIAR. A dual-isotope approach using carbon (δ13C) and oxygen isotopes in plant biomolecules was also applied to investigate crop water use efficiency of.

The findings demonstrate that the success of subsoil management depends on soil type. In sandy soils, mechanical deep-loosening promoted root water uptake from deeper soil layers and improved biomass production. In contrast, in silty soils, only biological deep-loosening showed positive effects. However, the associated increase in biomass production intensified water stress in the crops. This effect can be mitigated by compost applications, which enhanced soil water retention and promoted root growth into deeper layers, leading to an improved water supply for crops.

How to cite: Eitelberg, L., Amelung, W., Kotzé, E., Ceronio, G., Kathlin, S., Oliver, S., and Sara Louise, B.: Impact of subsoil melioration on water use of arable crops: case studies from Germany and South Africa, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10372, https://doi.org/10.5194/egusphere-egu26-10372, 2026.

EGU26-11005 | ECS | Posters on site | BG3.23

How timing of fertilization affects N2O emissions from a legume grassland on northern mineral soil 

Petra Manninen, Timo Vesala, Olli Peltola, Janne Rinne, and Narasinha Shurpali

Agricultural soils are significant sources of N2O, and they have been estimated to be responsible for about 60% of global anthropogenic N2O emissions. These emissions mainly originate from the application of synthetic fertilizers. Globally, 120 Tg N of new N as synthetic fertilizer is introduced to soil every year to sustain crop and grass production. Agricultural sector is responsible for 14% of the total anthropogenic greenhouse gas (GHG) emissions in Finland, from which 54% are N2O emissions. Growing season in Finland is relatively short (May-September) and all the grazing and feed production happens during those months. About 35% of Finland's cultivated arable land is cultivated with forage. With optimized management practices, such as crop species selection and timing of fertilization, N2O emissions from agricultural fields and per units of feed produced could be reduced. Since N2O is the most potent GHG, even small reductions in its emissions can yield significant climate benefits.

Introducing legumes, such as red clover (Trifolium pratense), to crop rotations reduces the need of synthetic fertilizers, due to the ability of the legumes to fix their own N via a symbiosis with rhizobia bacteria. Previous studies have shown lower N2O fluxes in red clover grass mixtures compared to monocultures and grass mixtures with other grass species. Lower levels of synthetic N fertilization also reduce indirect N2O and CO2 emissions which are generated during the fertilizer manufacturing process. In mineral soils, highest N2O emission peaks are often measured after fertilization events. The fertilizer induced emission peak can be reduced by shifting the timing of fertilization, e.g. week after harvest, when plants are in active growth phase and can utilize nutrients more efficiently.

In this research we tried to answer to two research questions: 1) Do annual N2O emissions from the agricultural field to the atmosphere decrease with increasing red clover coverage? 2) How does the timing of post-harvest fertilizer application influence subsequent N2O emission peaks? The research was conducted in a 6.3 ha agricultural field on a mineral soil, near Maaninka, eastern Finland. N2O exchange of the field was studied using the eddy covariance technique from four years of grass rotation cycle (2022–2025). Crop, soil and environmental variables were also measured to help explain the N2O exchange patterns and N dynamics. We hypothesized that delaying the fertilizer application by approx. one week after harvest decreases the resulting N2O emission peaks and that annual N2O emissions from the agricultural field to the atmosphere decreases with increasing red clover coverage. In this presentation, we highlight the changes in red clover coverage, total yield, N2O emissions originating from fertilization and the annual N2O dynamics.

How to cite: Manninen, P., Vesala, T., Peltola, O., Rinne, J., and Shurpali, N.: How timing of fertilization affects N2O emissions from a legume grassland on northern mineral soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11005, https://doi.org/10.5194/egusphere-egu26-11005, 2026.

EGU26-11079 | ECS | Posters on site | BG3.23

Faster soil carbon aging with depth at higher elevations in a subtropical forest 

Wanshu Li, Jing Wang, Huanfa Sun, Ning Wei, Liming Yan, Jian Zhang, and Jianyang Xia

Earth system models are increasingly adopting multi-layer soil frameworks to improve simulations of vertical carbon distribution. A critical parameter in these models is the e-folding depth (zτ), which quantifies the rate at which soil organic carbon (SOC) ages with depth. Specifically, zτ represents the soil depth at which carbon becomes e-times older (≈2.7 times older) than surface carbon. Despite its importance, most models assume constant zτ within biomes, leaving its spatial variability largely unclear. To test this assumption, we collected multi-layer soil samples across eight forest plots spanning a subtropical montane elevational gradient (427 to 1,474 m) and employed radiocarbon dating to quantify vertical SOC aging patterns. Our results revealed a robust exponential increase in SOC age with depth at all elevations, alongside a 66% decline in zτ from 78.6 cm at the base to 26.4 cm at the summit. This indicated that a 1-meter increase in soil depth approximately amplified SOC age by 4-fold at the lowest elevation and 44-fold at the highest position. Despite significant changes in vegetation along the elevational gradient, vegetation type did not play an essential role in controlling zτ variability. Instead, this elevational dependence of zτ was primarily driven by soil water content (22.2% of variability explained), mean annual temperature (19.7%), and soil carbon-to-nitrogen ratio (19.0%). These findings suggest zτ as an elevation-sensitive sentinel of soil carbon dynamics, urging models to incorporate its variability for projections of soil carbon persistence under climate change.

How to cite: Li, W., Wang, J., Sun, H., Wei, N., Yan, L., Zhang, J., and Xia, J.: Faster soil carbon aging with depth at higher elevations in a subtropical forest, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11079, https://doi.org/10.5194/egusphere-egu26-11079, 2026.

EGU26-11442 | ECS | Posters on site | BG3.23

Grassland management affects soil carbon responses to drought 

Fabrizzio Protti-Sánchez, Louisa Kanis, Tatiana Trubnikova, Herbert Alois Wachter, Olga Vindušková, Christina Biasi, and Michael Bahn

Drought events are increasingly threatening soil organic carbon (SOC) stability in grasslands, yet the role of grassland management in shaping drought and post-drought responses of SOC remains poorly constrained. We examined how grassland management intensity influences microbial respiration responses during drought and recovery, including the Birch effect (a pulse of soil CO2 release following rewetting of dry soils) and SOC priming (changes in SOC decomposition triggered by fresh carbon inputs). These responses were assessed in a controlled soil incubation study with experimentally imposed drought, using soils from grasslands covering a range of management types and elevations.

Grassland management strongly altered soil and root properties, including SOC content, fine-root biomass, and bulk density, and caused distinct soil microbial respiration dynamics in response to drought. Respiration was more strongly reduced by drought in soils from intensively managed grasslands, while its recovery from drought was not affected by management intensity. Similarly, the magnitude of the Birch effect following rewetting varied little among management types. In contrast, SOC priming differed strongly among sites and management regimes. Our results suggest that management-induced changes in soil structure and carbon pools modulate SOC responses to drought and subsequent carbon inputs.

How to cite: Protti-Sánchez, F., Kanis, L., Trubnikova, T., Wachter, H. A., Vindušková, O., Biasi, C., and Bahn, M.: Grassland management affects soil carbon responses to drought, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11442, https://doi.org/10.5194/egusphere-egu26-11442, 2026.

EGU26-12265 | ECS | Posters on site | BG3.23 | Highlight

Functional diversity and grassland soil carbon stocks under climate change: Insights from global modelling 

Stephen Björn Wirth, Christoph Müller, Friedhelm Taube, Jens Heinke, Britta Tietjen, and Susanne Rolinski

Grassland stores approximately 20% of global soil organic carbon (SOC). While environmental conditions and management directly affect this storage, the role of functional diversity remains poorly quantified at large scales.

We conducted an assessment of functional diversity effects on SOC storage and productivity of managed grassland under climate change using the LPJmL-CSR model. We simulated low (FD-: single dominant strategy) and high (FD+: multiple strategies present) functional diversity under two climate scenarios (SSP1-2.6 and SSP3-7.0) from 1901 to 2100.

Results show substantial differences between scenarios. Under SSP1-2.6, SOC declined in FD- but remained stable in FD+. In contrast, under SSP3-7.0, SOC increased in both scenarios due to CO2 fertilization and increasing temperatures. For both climate scenarios FD- remained approximately 30% lower than FD+ by 2100. Productivity showed similar spatial and temporal patterns. Regional analysis revealed distinct mechanisms. In tropical climates, removing subordinate functional types reduced total productivity despite increased growth of remaining species, while in temperate regions, prevented adaptation to warming led to productivity breakdown.

Examining the underlying mechanism showed that functional diversity underpins the grassland communities’ potential to adapt to climate change allowing them to compensate for negative effects and acting as an insurance against climate change. To our knowledge, these results confirm findings from local-scale empirical experiments at the global scale for the first time. These findings have implications for carbon farming practices, where maintaining functional diversity could enhance long-term carbon sequestration potential.

How to cite: Wirth, S. B., Müller, C., Taube, F., Heinke, J., Tietjen, B., and Rolinski, S.: Functional diversity and grassland soil carbon stocks under climate change: Insights from global modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12265, https://doi.org/10.5194/egusphere-egu26-12265, 2026.

EGU26-12659 | ECS | Orals | BG3.23

Effects of land cover on subsoil physical and hydraulic properties 

Aurélien Lengrand, Mathieu Javaux, Johannes Koestel, and Harry Vereecken

Land cover changes exert growing pressure on soils and can modify their physical structure and hydraulic behaviour. While the influence of land cover on erosion, compaction, and biological activity in the upper 30 cm is well documented, much less is known about how far these effects extend into deeper horizons. Here, we analyse depth-dependent variations in structural and hydraulic properties for soils of comparable texture under cropland, grassland, and forest. We used the EU-HYDI database, comprising 6,014 profiles and over 18,000 samples across Europe (36% with LUCAS land cover information). Samples were grouped by texture classes (using a modified version of the HYPRES texture triangle) and land cover independently of soil profile. For each texture X land cover combination, we fitted generalized additive models (GAMs) with depth, including random effects for data source to account for heterogeneity in analytical methods and sampling protocols. Results reveal significant differences in bulk density and θsat up to 60 cm, with consistent patterns (cropland > grassland > forest for bulk density; cropland < grassland < forest for θsat). These results show that land cover impacts are not restricted to the topsoil, highlight the lack of subsoil data, particularly for fine-textured soils and forested sites and underscores the importance of harmonized measurement procedures to improve comparability in soil hydrological studies.

How to cite: Lengrand, A., Javaux, M., Koestel, J., and Vereecken, H.: Effects of land cover on subsoil physical and hydraulic properties, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12659, https://doi.org/10.5194/egusphere-egu26-12659, 2026.

EGU26-13743 | ECS | Posters on site | BG3.23

Forecasting carbon and nitrogen cycling from intensively managed grassland systems using the QUINCY land surface model 

Josua Seitz, Eleanor Lampard, Morad Mirzaei, Rachael Murphy, Matthew Saunders, Lucía Gill, Áine Murray, Eoin Dunne, and Silvia Caldararu

Grasslands cover a substantial part of the global ice-free land area (~40%) and they store about one third of the terrestrial carbon stock globally. These ecosystems and their significant carbon stocks are very susceptible to climate change and are often extensively managed for human use. This management, including grazing, cutting and fertilising is known to have an impact on carbon (C) and nitrogen (N) fluxes with implications for greenhouse gas (GHG) emissions and surface and groundwater pollution. In the Republic of Ireland, grasslands cover roughly 60% of the land area and the agricultural sector is the largest emitter of GHGs and contributes roughly 38% of national emissions. It is therefore critical to be able to understand and predict the interactions between management and GHG budgets. Land surface models can be an invaluable tool in this endeavour, allowing us to test a multitude of management practices and their interactions as an in sillico experiment.

We investigate the ecosystem C and N budgets as affected by long-term management of grasslands in the form of N addition (fertilizer, slurry i.e., organic N) and grazing over 50 years using the QUINCY LSM. Based on local management data, we test different N application rates across time (between 50 and 300 kg N ha-1 year-1) in combination with different grazing intensities (0.5 to 5 livestock units ha-1) and timing of grazing at four Irish grasslands. We show that applying yearly fertilizer amounts exceeding 150 kg N ha-1 does not significantly increase grassland aboveground net primary productivity (ANPP) and most N entering the system is lost through leaching and nitrous oxide (N2O) emissions, while no or very low N addition combined with grazing results in decreasing C storage We further use the resulting N addition and grazing scenarios to identify best potential practices for balancing C storage, GHG emissions and grassland productivity. Beyond providing insights into C and N cycling processes in managed grasslands, our study also points to a pathway for using complex process-based models to guide management practices and policy.

How to cite: Seitz, J., Lampard, E., Mirzaei, M., Murphy, R., Saunders, M., Gill, L., Murray, Á., Dunne, E., and Caldararu, S.: Forecasting carbon and nitrogen cycling from intensively managed grassland systems using the QUINCY land surface model, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13743, https://doi.org/10.5194/egusphere-egu26-13743, 2026.

EGU26-17042 | ECS | Orals | BG3.23

Soil Carbon and Nutrient Responses to Woody Encroachment in Alpine Grasslands 

Clara Kopp, Louisa Stilp, Vera Mutz, Michael Bott, Bernd Panassiti, Jörg Ewald, and Mariana Rufino

Mountain pastures in the Alps are cultural landscapes that have been shaped over centuries by traditional grazing practices. These pastures harbour unique biodiversity and provide multiple ecosystem services, such as forage production and soil carbon sequestration. However, in recent decades, socio-economic changes have led to a widespread decline in mountain agriculture, resulting in pasture abandonment and woody encroachment. This study assesses how early successional woody encroachment affects soil carbon storage and nutrient dynamics along an elevation gradient.

To this end, 15-metre transects were randomly placed within non-encroached and encroached areas (with >20% cover of juvenile trees) of eight mountain pastures, which ranged in altitude from 680 to 1270 meters above sea level in the Berchtesgaden National Park in the Northern Limestone Alps in Germany. Soil samples were taken to a depth of 30 cm and analyzed for total organic carbon (TOC), total nitrogen, and available phosphorus (Olsen-P). Bulk density was also measured, and nutrient stocks were calculated.

TOC and nitrogen concentrations, as well as Olsen-P, were significantly higher with encroachment, while carbon and nitrogen stocks showed no significant differences between encroached and non-encroached transects. The effect on TOC was more pronounced in the upper soil layer; in the lower layer, elevation and aspect also significantly affected TOC levels. The magnitude of the TOC increase in encroached sites could be partially explained by soil pH. These results highlight the variable effects of woody encroachment on nutrient and carbon dynamics, which depend on the successional stage, elevation, aspect and parent material.

How to cite: Kopp, C., Stilp, L., Mutz, V., Bott, M., Panassiti, B., Ewald, J., and Rufino, M.: Soil Carbon and Nutrient Responses to Woody Encroachment in Alpine Grasslands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17042, https://doi.org/10.5194/egusphere-egu26-17042, 2026.

EGU26-17058 | Posters on site | BG3.23

Enzyme activities down the soil profile: a meta-analysis 

Naoise Nunan, Fatima El Mekdad, Samuel Abiven, and Xavier Raynaud

Soil enzymes are major contributors the decomposition of soil organic matter. They are believed to reflect microbial nutrient and energy acquisition strategies and limitations. Whilst enzyme activities in surface soil layers have been widely studied, activities down the soil profile have received far less attention. Here, we present the results of a meta-analysis of hydrolase and oxidoreductase activities involved in the C, N and P cycles as a function of soil depth. The aim of the analysis was to understand how the relationship between microbial communities and their nutritional environment changes with depth. We assembled a database of ~1500 soil profiles from diverse locations, soil types, land uses and climates. In order to compare activity profiles, we used Gaussian process regression, followed by hierarchical clustering. Our results show that, when expressed per soil mass, the majority of hydrolase activities decrease with increasing soil depth. Proportionally more oxidoreductase activities, however, remained stable with depth, possibly indicative of changes in microbial community resource acquisition strategies with depth. Microbial biomass specific enzyme activities tended to increase with soil depth, suggesting an increase in microbial allocation to resource acquisition in response to decreased resource (C, N and P) availability and/or an increased enzyme stabilization on mineral and organic surfaces.

How to cite: Nunan, N., El Mekdad, F., Abiven, S., and Raynaud, X.: Enzyme activities down the soil profile: a meta-analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17058, https://doi.org/10.5194/egusphere-egu26-17058, 2026.

EGU26-17164 | ECS | Posters on site | BG3.23

How to model N2O emissions of grazed pastures with DayCent? 

Lena Barczyk and Christof Ammann

Nitrous oxide (N2O) is one of the main greenhouse gases (GHG), and it occurs particularly in agricultural soils due to fertilizer applications and livestock grazing. Cattle, for instance, excrete 75-95% of their nitrogen (N) intake. National N2O emission estimates for grazing cattle excreta are highly uncertain as they are typically calculated using global emission factors. A few countries including the U.S. and Australia use biogeochemical models to report N2O emissions from agricultural soils. In Switzerland, the biogeochemical model DayCent was successfully applied for simulations of N2O emissions from cropland with diverse crop rotations (dos Reis Martins et al. 2022; Wang et al. 2025) and mown grasslands with different mangement intensities (dos Reis Martins et al. 2024). However, it has not yet been validated for grazing pasture systems in Switzerland.

In this study, we aim to test DayCent for pasture systems in Switzerland, by a) examining how the grazing activities can be represented appropriately in the model, and b) to test the preformence of Daycent  in reproducing observed N2O emissions.

Datasets from two Swiss field experiments in Posieux (Voglmeier et al. 2019; 2020) and Waldegg (Barczyk et al. 2024) were used. In both experiments, pasture N2O emissions had been measured by eddy covariance over several years (Posieux: 2013-2017; Waldegg: 2020-2023) and the pasture management like the timing of grazing and fertilising events was precisely documented. First, a sensitivity analysis of the model was performed by varying the main grazing parameter flgrem (fraction of live shoots removed by a grazing event) in DayCent. Secondly, the model was applied in two scenarios: GrazMod (using the specific grazing module of DayCent) and HarvFert (representing cattle grazing intake by harvests and excreta depositions by fertilizer applications).

For both sites, the amount of biomass N consumed by the cattle on the pasture varied between 2-30 g N m-2 yr-1 initially increasing in correlation to the flgrem value, however following a saturation curve at higher flgrem values. The amount of N excreted on the pasture was proportional to the amount of N consumed (DayCent default: 80%), which was close to the values estimated by a cattle N budget approach as used in the national GHG inventory. N2O emissions were higher for the HarvFert scenario, possibly due to a lower aboveground biomass which favors the emission loss of N. DayCent tends to underestimate the observed N2O emissions of both pastures. Further results of DayCent simulations will be shown and discussed.

How to cite: Barczyk, L. and Ammann, C.: How to model N2O emissions of grazed pastures with DayCent?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17164, https://doi.org/10.5194/egusphere-egu26-17164, 2026.

EGU26-17253 | Posters on site | BG3.23

Grassland use intensity and climate as key drivers of soil organic carbon across four continents 

Eduardo Vázquez, Camille Rousset, Marta Alfaro, Javier Almorox, Jacobo Arango, Natalia Banegas, Mike Bastidas, Marta Benito, Klaus Butterbach-Bahl, Luis Colcombet, Batnyambuu Dashpurev, Mike Dodd, Anina Gilgen, Sonja M. Leitner, Luis Mendes, Lutz Merbold, Felix Ngetich, Winnie Ntinyari, Julián Esteban Rivera, and Julián Chará

Grasslands cover nearly 40% of the Earth’s terrestrial surface and store large quantities of carbon (C) in their soils. However, grassland-use intensification, unsustainable management practices and climate change threaten this important C reservoir. Understanding how different grassland use intensities (GUI) influence soil C stocks is therefore essential to promote C accumulation and improve grassland sustainability. Although many studies have addressed this issue in recent decades, most have been conducted at local or regional scales, limiting our ability to detect general patterns because the response of soil C to GUI is strongly context dependent. Therefore, disentangling management effects from pedoclimatic factors is crucial to improving our understanding of how grassland management influences soil C.

To address this knowledge gap, we investigated 46 grasslands across 15 sites located in Argentina, Colombia, Germany, Kenya, New Zealand, Spain and Switzerland, all sampled following a standardized protocol. Soil samples were collected at three depths (0–10, 10–20 and 20–30 cm) to quantify soil organic C and additional soil properties. Information on management practices was compiled for each grassland. Using livestock density (livestock unit grazing days ha−1 yr−1), the number of mowing events per year, and annual nitrogen fertilization (kg N ha-1 yr-1), we calculated the GUI index proposed by Blüthgen et al. (2012) which reflects the combined effects of these management practices.

Our sites span a wide climatic gradient, with mean annual temperature ranging from 0.8 to 27.4°C, precipitation from 518 to 2357 mm, and aridity index from 0.42 to 3.49. Tropical and subtropical grasslands were generally characterized by low grazing intensity and little or no N fertilization, whereas temperate sites often combined grazing, mowing and, in some cases, high N fertilizer inputs. As a consequence, we obtained a wide range of GUI index values, from 0 in unmanaged conservation grasslands to values >10 in intensively managed systems in Switzerland and Germany. Preliminary analyses suggest that both the aridity index and the GUI index may play an important role in explaining variation of soil C concentrations across sites, underscoring the importance of GUI in shaping soil C storage. Ongoing analyses incorporating additional explanatory variables (i.e. clay, bulk density, biomass production or soil pH)  will provide deeper insights into the drivers of soil C dynamics in grasslands worldwide.

Acknowledgements

This research was developed within the framework of the European Joint Program for SOIL, "Managing and Mapping Agricultural Soils for Enhancing Soil Functions and Services" (EJP SOIL), project CARBOGRASS, funded by the European Union Horizon 2020 research and innovation program (Grant Agreement No. 862695). UPM was funded by Project PCI2023-143386 funded by MCIN/AEI/ 10.13039/501100011033/EU. ILRI was funded by the CGIAR Science Programs Climate Action and Multifunctional Landscapes.

Reference

Blüthgen, N., Dormann, C. F., Prati, D., Klaus, V. H., Kleinebecker, T., Hölzel, N., ... & Weisser, W. W. (2012). A quantitative index of land-use intensity in grasslands: Integrating mowing, grazing and fertilization. Basic and Applied Ecology, 13(3), 207-220.

How to cite: Vázquez, E., Rousset, C., Alfaro, M., Almorox, J., Arango, J., Banegas, N., Bastidas, M., Benito, M., Butterbach-Bahl, K., Colcombet, L., Dashpurev, B., Dodd, M., Gilgen, A., Leitner, S. M., Mendes, L., Merbold, L., Ngetich, F., Ntinyari, W., Rivera, J. E., and Chará, J.: Grassland use intensity and climate as key drivers of soil organic carbon across four continents, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17253, https://doi.org/10.5194/egusphere-egu26-17253, 2026.

The root zone is one of the most important soil horizons through which plant obtains its needs of nutrient and water resources, especially for deep rooted plant. However, few studies exist on the multi-fractal of soil particle size distribution and its great influence on soil chemical properties and soil water status in the root zone for a deep soil profile, with most knowledge gained from shallow rooted plant. We obtained multiple soil profiles with the maximum rooting depth to 21 m, and applied single fractal and multifractal dimensions to characterize the soil particle size distribution, and explored their correlations with soil depth, soil chemistry properties and soil water. Our results found single fractal and multifractal dimensions of soil PSD and soil particle composition (clay, silt and sand content) varied with soil depth in a soil profile that can be categorized according to above and below the depth corresponding to 90% of the total root biomass as R-zone and D-zone, respectively. Soil fractal dimensions except capacity dimension (D1) and correlation dimension (D2), and clay and silt content differed significantly in the R-zone and the D-zone (p < 0.01). Correspondingly, the relationship between the soil PSD and soil chemical properties were higher in the R-zone than those in the D-zone. From the R-zone to the D-zone, the correlations between D1 and D2 and soil water content in dried soil layers changed from positive to negative. Based on these results, we concluded that more heterogeneity of soil physicochemical properties in the R-zone than the D-zone. Our findings highlight the importance and complexities of soil physicochemical properties in the root zone, some of which are valuable to characterize root function in the Critical zone and form integral components of vegetation models.

How to cite: Zhou, Z.: Using multi-fractal analysis to characterize the variability of the soil physical-chemical properties along deep soil profile through multipoint sampling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17549, https://doi.org/10.5194/egusphere-egu26-17549, 2026.

EGU26-18826 | Orals | BG3.23

Sustainable intensification of tropical pastures: Optimize nitrogen supply through integration of legumes and grasses with biological nitrification inhibition? 

Astrid Oberson, Lorenz Allemann, Jacobo Arango, Emmanuel Frossard, Alizon Giraldo, Mauricio Sotelo, Eduardo Vázquez, Jaime E. Velásquez, and Daniel M. Villegas

In the northwestern Amazon region livestock farming typically involves extensive grass-only pastures that do not receive nitrogen (N) fertiliser. Over time, nutrient depletion leads to degradation in vast areas of pasture, with severe economic and ecological consequences. Our project investigates the impact of integrating legumes (e.g., Arachis pintoi) and grasses with biological nitrification inhibition (BNI) capacity on the N cycle in the soil–plant system. The study was conducted on seven farms in the Caquetá department of Colombia, in pasture plots that had been under the present pasture type for 5 to 30 years. We quantified plant biomass yields, N uptake and biological N2 fixation. In topsoil (0-0.1 m) the ammonium and nitrate content was measured and the gross N fluxes quantified using the 15N pool dilution method. The results revealed that the presence of legumes and the species of grass significantly affected the N cycle in the soil-plant system. Higher forage yield and higher mineral N in soils were observed in grass-legume than grass-alone pastures. This was likely due to the N2 fixation capacity of the legumes, which derived more than 70% of their N from atmosphere. The yield benefit in grass-legume pastures was more pronounced when the legumes were combined with the high BNI capacity grass (Urochloa humidicola). Ammonium was the dominant soil mineral N form in all pasture types, and gross and net nitrification tended to be lower in soils from pastures with high BNI capacity grass (P ≤ 0.10). Reduced nitrate production indicates a lower risk of nitrate leaching and N₂O emissions. Data on the impact of pasture type on total soil organic carbon and N contents are under evaluation. To our knowledge, this is the first study to examine the role of high-BNI grasses under low-input farming conditions, combined with legumes to mitigate N deficiency in pastures. Our findings illustrate a pathway towards sustainable intensification through biological interventions, with the potential to reduce soil degradation and harmful N losses across large areas of tropical pastureland.

How to cite: Oberson, A., Allemann, L., Arango, J., Frossard, E., Giraldo, A., Sotelo, M., Vázquez, E., Velásquez, J. E., and Villegas, D. M.: Sustainable intensification of tropical pastures: Optimize nitrogen supply through integration of legumes and grasses with biological nitrification inhibition?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18826, https://doi.org/10.5194/egusphere-egu26-18826, 2026.

EGU26-19838 | Posters on site | BG3.23

Effects of Grazing Management Intensity on Carbon Stocks in Mediterranean Silvopastoral Systems 

Luis Mendes, Eduardo Vázquez, Melanie Estrella, Javier Almorox, Agustín Rubio, Joaquín Cámara, and Marta Benito

Agroecosystems integrate livestock and food production systems to meet global demands, but highly intensive management practices are often associated with soil degradation, erosion, and losses of soil carbon and biodiversity. In Mediterranean silvopastoral systems such as dehesas, grazing management plays a central role in regulating vegetation dynamics, nutrient cycling, and soil organic carbon storage. Understanding how different grazing intensities influence soil carbon stocks is therefore essential to support sustainable land management strategies in these systems.

This study examines the effects of contrasting grazing management intensities on soil carbon stocks and related soil properties within Mediterranean silvopastoral environments. Reforested areas without grazing were compared with two grazing systems characterized by different degrees of rotational intensity, allowing the evaluation of how grazing pressure and management strategies influence carbon distribution across ecosystem compartments. Field assessments to quantify aboveground and belowground carbon stocks included measurements of woody and herbaceous vegetation components, plant necromass, and soil carbon, with particular attention to spatial variability associated with tree canopy presence.

The results revealed consistent differences in soil carbon stocks among grazing management strategies, with lower grazing intensities generally associated with higher soil carbon accumulation compared to higher grazing intensity. The presence of grazing, when managed under rotational schemes, was linked to enhanced soil carbon stocks compared to unmanaged areas, suggesting positive interactions between livestock activity, vegetation turnover, and soil carbon accumulation. Tree canopy effects further influenced soil carbon distribution, highlighting the importance of spatial heterogeneity and vegetation structure in modulating soil carbon dynamics within silvopastoral systems. In addition, soil carbon stocks were closely associated with other indicators of soil fertility and nutrient cycling, reflecting broader changes in soil functioning linked to grazing management.

Acknowledgements

This work was funded by the project “Impact of grassland management on soil carbon storage-CARBOGRASS” (Project PCI2023-143386 funded by MCIN/AEI/ 10.13039/501100011033/EU).

 

How to cite: Mendes, L., Vázquez, E., Estrella, M., Almorox, J., Rubio, A., Cámara, J., and Benito, M.: Effects of Grazing Management Intensity on Carbon Stocks in Mediterranean Silvopastoral Systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19838, https://doi.org/10.5194/egusphere-egu26-19838, 2026.

EGU26-19975 | Posters on site | BG3.23

Meta-analysis of the net ecosystem carbon budget of European grasslands 

Christof Ammann and David Schweizer

The agricultural sector's role in climate change is a topic of debate and uncertainty, particularly regarding the soil carbon sequestration effect of grasslands. Numerous studies have examined specific grassland sites using the net ecosystem carbon budget (NECB) approach based on the eddy-covariance (EC) method for measuring the CO2 exchange with the atmosphere and the quantification of ‘lateral’ carbon exports and imports (e.g., harvest and organic fertilizer application). Finding clear and consistent numbers is often complicated by issues of nomenclature and methodology of the carbon budget calculations and presentation in the literature or by missing information about management and lateral carbon flux details.

This review aims to synthesize current data on the NECB of European grasslands (excluding organic soils). For this purpose, a detailed search and screening of the currently available peer-reviewed literature regarding EC-based NECB of grasslands in Europe was conducted. Data for 43 different sites in 16 countries passed the screening and quality checks, totaling 147 site-years of NECB measurements. The gathered NECB data for grasslands are scattered over a large range of NECB values between about –350 and +350 g C m−2 yr−1. The overall average of −33 g C m−2 yr−1 indicates a slight carbon sink, although with a large uncertainty. We could not detect a significant spatial distribution pattern of source or sink sites. In addition, we found that sites at the same location can act as sources or sinks depending on the management practice of the fields. For an improved assessment, a more consistent and complete data reporting of all flux measurement sites would be useful.

How to cite: Ammann, C. and Schweizer, D.: Meta-analysis of the net ecosystem carbon budget of European grasslands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19975, https://doi.org/10.5194/egusphere-egu26-19975, 2026.

EGU26-20471 | Orals | BG3.23

Towards more sustainable organic grassland fertilization – a synthesis based on full N balances 

Michael Dannenmann, David Piatka, Sebastian Floßmann, Elisabeth Ramm, Julia Kepp, Jincheng Han, and Ralf Kiese

Cattle slurry is widely used as organic fertilizer in temperate grasslands, but high nitrogen (N) losses during application cause emissions of greenhouse gases and air pollutants, water quality issues, and biodiversity loss. Furthermore, N balances frequently are negative, causing soil organic nitrogen (SON) mining, often accompanied by soil organic carbon volatilization and associated losses of agronomic and ecological soil functions. Low-emission slurry fertilization such as ground-level application has become obligatory in many countries, but such legal regulations as well as the individual decisions of farmers frequently are largely based on knowledge on ammonia losses only, but not on full N balances. Here, we provide a synthesis of data from experiments with 15N labelled organic fertilizers at 36 field plots, spanning a gradient of 1000 km from the Alps to Northern Germany. This approach allowed to assess effects of management intensity, climate change and different low emission application techniques on fertilizer N fates and full ecosystem N balances.

For intensive management with broadcast spreading of cattle slurry, on average almost half of the applied fertilizer N was lost to the atmosphere with a large contribution of dinitrogen emissions, while leaching of recent fertilizer N was negligible. Surprisingly, less than 10% of fertilizer N was taken up by plants, with the residual almost half of fertilizer N being stored in soil organic nitrogen. Nonetheless, grasslands were highly productive and largely met their N demand from mineralization of SON, which resulted in negative N balances and SON mining of on average 70 kg N ha-1 year-1 which increased with soil organic matter content, management intensity and experimentally induced climate change. Hence, a new paradigm for organic grassland fertilization is needed: the soil, not the plant is fertilized.

Both open slot slurry injection and traditional management with farmyard manure strongly reduced N losses compared to broadcast spreading of slurry, thereby leading to more closed N balances and counteracting N mining. However, slurry injection was more effective for acid soil rather than calcareous soil, where slurry acidification could be more promising to reduce N losses. Slurry dilution with water promoted infiltration, productivity and reduced N losses but avoided N mining only when N fertilizer amounts were maintained at the same level, which increases costs for farmers and the risk for soil compaction. In this context, slurry separation into liquid and solid phases is helpful.

In sum, we recommend either intensive grassland management with targeted low emission fertilization when productivity and fodder quality is prioritized, or extensive grassland management with grazing and fertilization with farmyard manure when soil organic matter formation and biodiversity is prioritized. Coexistence of these two diverging management approaches rather than applying medium management intensities is recommended to maximize both economical and ecological soil functions and ecosystem services at landscape scales.

How to cite: Dannenmann, M., Piatka, D., Floßmann, S., Ramm, E., Kepp, J., Han, J., and Kiese, R.: Towards more sustainable organic grassland fertilization – a synthesis based on full N balances, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20471, https://doi.org/10.5194/egusphere-egu26-20471, 2026.

EGU26-21406 | ECS | Orals | BG3.23

Microbial processes controlling organic carbon storage along deep soil profiles 

Yacouba Zi, Louis Jeay, Noise Nunan, Abad Chabbi, and Cornelia Rumpel

Deep soil horizons represent a major but still poorly understood component of the soil carbon pool, despite their important contribution to long-term carbon storage and climate regulation. While carbon dynamics in topsoils have been extensively studied, much less is known about the mechanisms controlling carbon processing and stabilization at depth, particularly the role of microbial functioning and soil structure. This study investigated how microbial carbon use efficiency (CUE) varies with depth in a temporary agricultural grassland soil profile (10, 30 and 60 cm) under temperate conditions in Lusignan, France. Measurements were performed in both bulk soil and biostructures. Microbial CUE was estimated using two independent approaches (13C-based CUE and 18O–H₂O-based CUE), while microbial functional diversity was characterized using MicroResp and organic matter quality using Rock-Eval pyrolysis. Results showed contrasting depth-related patterns depending on the method used. 13C-based CUE increased with depth, with consistently higher values in biostructures than in bulk soil. In contrast, 18O-based CUE declined along the soil profile. Organic matter became progressively more stable and chemically mature with depth, while microbial communities shifted towards assemblages adapted to lower substrate availability and higher organic matter complexity. Variations in soil physical and chemical properties, organic matter quantity and quality, and microbial community structure therefore strongly depended on depth and the presence of biostructures, and jointly controlled microbial efficiency. These findings show that carbon storage in deep soil horizons depends strongly on microbial efficiency, soil structure and organic matter quality, and can be enhanced by management practices that increase carbon inputs and promote biostructure formation.

Keywords: Subsoil carbon storage, Deep soil horizons, Land management practices, Microbial communities

How to cite: Zi, Y., Jeay, L., Nunan, N., Chabbi, A., and Rumpel, C.: Microbial processes controlling organic carbon storage along deep soil profiles, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21406, https://doi.org/10.5194/egusphere-egu26-21406, 2026.

EGU26-21994 | Posters on site | BG3.23

DeepHorizon: DEploying Ecosystemic solutions to imProve soil Health and uncOveRing subsoil functIons in the critical ZONe 

Mathieu Javaux, Alexandre Wadoux, Abad Chabbi, Marcello Di Bonito, Gloria Falsone, Sara Koenig, Hans-Joerg Vogel, Victor Burgeon, Anastasios Michaiidis, Ester Miglio, Francisco Jose Blanco Velasquez, and Luke Wardak

 DeepHorizon is a Horizon Europe Soil Mission project which aims to uncover hidden potential of European subsoils, an overlooked but vital component in soil functioning. Knowledge of subsoil dynamics, functions and degradation remains limited, and the pressure of unsustainable land management practices (LMPs) and climate change are increasing. To address this, DeepHorizon is leveraging multi-disciplinary collaborations across 19 international institutions to i) map subsoil properties, ii) identify sustainable subsoil management practices, and iii) develop and refine user-oriented tools to monitor and improve subsoil health.

The initial sampling campaign is underway, with 19 of our 40 sites sampled, which will be completed by the end of Autumn this year. Excavating a soil trench up to 2-meters provides comprehensive physical, chemical and biological data to capture subsoil properties including soil texture, pH, Carbon, Nitrogen and other nutrients, X-ray CT, hydraulics, root length density, fauna, microbiology and more. These data will contribute to a better representation of subsoils in existing databases and calibrate two process-based models to improve representation of subsoil functions.

These models will be validated across 100+ test sites and 3 regional case-study areas (CSA), then adapted to suit the needs of end-users through farmer- and manager-friendly tools. The project will also assess the socio-economic impact and environmental trade-offs of LMPs to generate policy recommendations and incentives to propose the sustainable management and restoration of European subsoil.

To ensure widespread impact, DeepHorizon engages land managers, researchers and policymakers through Community of Practice (CoP) and targeted outreach and communication activities. To facilitate the work planned on future test sites and case study areas, we are looking for constructive feedback, synergies, and collaborations that may be available across existing projects, institutions or individuals.

How to cite: Javaux, M., Wadoux, A., Chabbi, A., Di Bonito, M., Falsone, G., Koenig, S., Vogel, H.-J., Burgeon, V., Michaiidis, A., Miglio, E., Blanco Velasquez, F. J., and Wardak, L.: DeepHorizon: DEploying Ecosystemic solutions to imProve soil Health and uncOveRing subsoil functIons in the critical ZONe, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21994, https://doi.org/10.5194/egusphere-egu26-21994, 2026.

EGU26-22428 | ECS | Posters on site | BG3.23

Afromontane Grassland Carbon Dynamics in a Changing World 

Anna Dam, Vincent Ralph Clark, Aud H. Halbritter, Kim L. Holzmann, Peter C. le Roux, Vigdis Vandvik, and Joseph Gaudard

Mountain grasslands play a crucial role in supporting biodiversity, grazing livestock, and regional water supply, while storing large amounts of carbon in their soils and vegetation. Grassland functioning is tightly coupled with climate and management practices, making these ecosystems highly vulnerable to global changes. The Afromontane grasslands of the Maloti-Drakensberg Mountains are among southern Africa’s most important ecological and hydrological systems, providing essential provisioning services. Despite their importance, surprisingly little is known about the impacts of global change drivers on carbon dynamics in these ecosystems. Filling this knowledge gap would improve our understanding of the extent of the Afromontane grasslands carbon sink, and help predict future carbon dynamics.

To address this gap, the NatuRA project has established a global change experiment in the Drakensberg Mountains focused on three global change drivers: warming, increased atmospheric nitrogen deposition, and changing grazing practices. The experiment spans an elevation gradient from 2000 to 3000 meters above sea level in a full factorial design made of a transplant treatment, nitrogen fertilization, and grazing manipulations. Measuring ecosystem carbon fluxes in this experimental design enables the assessment of how these drivers, individually and in interaction, affect key carbon-cycling processes.

Ecosystem carbon fluxes were measured using a closed-loop chamber system connected to an infrared gas analyzer. We measured net ecosystem exchange and ecosystem respiration, from which gross primary productivity was calculated. Pairing these results with treatment-specific microclimate data allows us to assess the amount of carbon captured by the ecosystem and evaluate how the carbon cycle responds to warming, fertilization, and grazing intensity. By revealing how multiple global change drivers interact to shape carbon dynamics in the Drakensberg Mountains, this study can provide critical evidence for predicting the future role of these ecosystems and for informing sustainable land management in a rapidly changing climate.

How to cite: Dam, A., Clark, V. R., Halbritter, A. H., Holzmann, K. L., le Roux, P. C., Vandvik, V., and Gaudard, J.: Afromontane Grassland Carbon Dynamics in a Changing World, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22428, https://doi.org/10.5194/egusphere-egu26-22428, 2026.

SSS6 – Soil Physics

EGU26-1349 | Posters on site | SSS6.1

Modeling Saline Soil Remediation Using the Surface Evaporation Capacitor Approach. 

Uri Nachshon, Rotem Golan, and Roee Katzir

Soil salinization is a pervasive problem in arid environments, frequently exacerbated by anthropogenic activities. Remediation commonly involves soil leaching through natural precipitation or controlled, human-made flooding events. Accurate prediction of solute transport during these leaching processes is complex, as it is controlled by soil physical and hydraulic properties, climatic conditions, evaporation rates, and the volume and timing of infiltration. Precise physically-based numerical models are necessary for exact descriptions but demand detailed input regarding soil and environmental parameters.

This study examines a simplified, physically-based alternative: the Surface Evaporation Capacitor (SEC) concept proposed by Or and Lehmann in 2019. Originally developed to predict soil porewater evaporation, the SEC model posits that porewater shallower than the soil capillary length is consumed by surface evaporation, while deeper porewater remains protected from this process.

We adopt the SEC concept to estimate solute dynamics within the vadose zone and predict long-term salt accumulation profiles. By integrating soil capillary length, ambient evaporation, and the depth of natural or artificial wetting, the SEC allows for a simple determination of salt fate, specifically estimating the leaching depth required to prevent salinization in the root zone and near the surface.

We validated the SEC approach by comparing its predictions against detailed field measurements collected in a super-arid region of Israel, alongside results from a detailed physically-based numerical model. Results confirm the Evaporation Capacitor Model's validity as an accurate proxy for estimating annual solute dynamics and salt accumulation in saline soils. While the complex numerical model provides exact temporal descriptions, the simplified SEC model offers an accurate  and easily implementable net estimation of salt transport, making it highly valuable for large-scale practical remediation assessment and management.

How to cite: Nachshon, U., Golan, R., and Katzir, R.: Modeling Saline Soil Remediation Using the Surface Evaporation Capacitor Approach., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1349, https://doi.org/10.5194/egusphere-egu26-1349, 2026.

EGU26-2306 | ECS | Orals | SSS6.1

Size effects of desiccation cracking behavior in clayey soil 

Zhaolin Cai, Qing Cheng, Chao-Sheng Tang, Xin-Lun Ji, Jin-Jian Xu, Ying-Dong Gu, and Bin Shi

Desiccation cracking significantly impacts the engineering properties of soils, influencing fluid infiltration and structural stability. A key phenomenon in desiccation cracking is the size effect, where soil dimensions, including thickness and radius, alter cracking behavior. However, the size effect remains poorly understood, particularly in linking laboratory-scale findings to field conditions. Existing studies are often limited to small laboratory samples, leading to discrepancies in crack behavior across scales and a lack of standardized guidelines for determining suitable sample sizes in laboratory tests. This study investigates the size effect on desiccation cracking in clayey soils and identifies suitable laboratory sample sizes to represent field-scale cracking patterns. Desiccation tests were performed on soil samples with varying radii (25-100 mm) and thicknesses (5-18 mm). Cracking behavior during drying and equilibrium-state crack patterns were analyzed. A size parameter (λ), defined as the ratio of sample radius to thickness, was introduced to characterize the soil's volumetric size. Results reveal three distinct stages of the size effect: (i) the crack-free stage (λ <λc), with no visible cracks; (ii) the size-dependent stage (λc <λ <λt​), where cracking behavior changes significantly; and (iii) the size-insensitive stage (λ >λt​), where crack parameters stabilize. Two critical size parameters, the critical cracking size (λc ≈4.0) and the transition size (λt ≈9.0), were identified. The proposed size thresholds (λc and λt​) were found to be applicable across different clayey soils, suggesting the general relevance of the framework for scaling desiccation cracking behavior in diverse geotechnical contexts. These findings enhance the understanding of size effects and provide a framework for optimizing laboratory tests to better reflect field conditions.

How to cite: Cai, Z., Cheng, Q., Tang, C.-S., Ji, X.-L., Xu, J.-J., Gu, Y.-D., and Shi, B.: Size effects of desiccation cracking behavior in clayey soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2306, https://doi.org/10.5194/egusphere-egu26-2306, 2026.

EGU26-2422 | ECS | Posters on site | SSS6.1

Modeling reference water vapor adsorption in desert soils 

Mulugeta Weldegebriel Hagos, Dilia kool (RIP), and Nurit Agam

Non-rainfall water inputs (NWRIs; i.e., dew, fog, and water vapor adsorption (WVA)) are significant sources of water in arid environments. Amongst all NRWIs, WVA is likely the most common, yet it is the least studied. There is increasing evidence that water vapor adsorption occurs in many arid and hyper-arid regions, that together occupy 26% of the earth’s terrestrial surface. Quantifying WVA is therefore essential to fully understand the water cycle in these regions. While some studies quantified WVA as a function of the surface properties, they were either laboratory trials or limited to a specific location. No studies, to date, have presented a general model to quantify WVA. Given the complexity of the process, we propose an initial step towards bridging this knowledge gap, with the introduction of a new “reference water vapor adsorption” (Ao). Ao is the adsorption of water vapor from the atmosphere to a reference surface, conceptually similar to the “reference evapotranspiration” (ETo) that quantifies the evapotranspiration rate from a reference surface. We propose to calculate Ao as Ao = raCp(ea-es)/lgra where ρa is the density of air, Cp is the specific heat capacity of air, ea and es are the water vapor pressure in the air and in the air-filled pores, respectively, γ is the psychrometric constant, and ra is the aero dynamic resistance. Assuming a completely dry surface (similarly to assuming well-watered crop to calculate ETo), es is set to zero. To test this new concept, we conducted measurements in the Negev desert, Israel, from July to October 2025. Ao was calculated from continuous measurements of temperature and relative humidity at 2m height, and wind speed at two heights (3 and 0.8 m). In parallel, Ao was directly measured every two hours during multiple 24-h campaigns by exposing dry silica gel to the atmosphere. The calculated Ao followed closely the trend of measured Ao, encouraging further development of this index, and potentially allowing mapping of reference adsorption based on simple meteorological measurements.

How to cite: Hagos, M. W., kool (RIP), D., and Agam, N.: Modeling reference water vapor adsorption in desert soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2422, https://doi.org/10.5194/egusphere-egu26-2422, 2026.

EGU26-7438 | Orals | SSS6.1

The effect of soil macro-structure on bare soil evaporation 

Frederic Leuther, Mathilde Nielsen, and Efstathios Diamantopoulos

Evaporation of soil water is often characterised by water losses over time for a defined soil volume where soils are assumed to be homogeneous in texture and structure. In this study, we hypothesised that evaporation depends not only on climatic conditions, soil texture, and soil hydraulic properties but also on the soils’ macro-structure. Specifically, that the different distribution of air-filled macropores, stones, and the connectivity of soil matrix will affect bare soil evaporation and herewith the transition from stage 1 to stage 2 evaporation. In a climate constant room, we measured evaporation characteristics of undisturbed soil cores taken under various land uses and soil textures (clay and sandy loam) and compared the evaporation rates to columns with sieved soil repacked to the same bulk density. Tensiometers installed in two different depth provided information about the hydraulic gradient along the columns, while weight measurements continuously recorded the mass loss. Soil structure of undisturbed columns was determined by X-ray computed tomography (X-ray µCT) at a voxel size of 50 µm. In addition, we evaluated the effect of macro-structure on bare soil evaporation for unsaturated condition, i.e. visible porosity was air-filled, by 3D image-based simulations using HYDRUS 3D.  The lab study showed that the well-sorted repacked samples lost significantly more water as the undisturbed samples. The differences cannot be explained by the total porosity and thus the total water reservoir. When using the time, the hydraulic gradient along the undisturbed columns was exponentially increasing, it was shown that the well-connected macropore volume could explain most of the evaporation characteristics. In addition, the presence of denser soil clods significantly shortened the time to build up the gradient. Neither stone nor particulate organic matter content had a significant effect on evaporation characteristics. The 3D image-based simulation indicated that air-filled macropores act as barriers for upward water flow and that the loss of water was limited by the connectivity of the soil matrix. It can be concluded that not only soil texture effects bare soil evaporation but also the soil macro-structure.

How to cite: Leuther, F., Nielsen, M., and Diamantopoulos, E.: The effect of soil macro-structure on bare soil evaporation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7438, https://doi.org/10.5194/egusphere-egu26-7438, 2026.

EGU26-10739 | ECS | Posters on site | SSS6.1

Evaluation of the volume of influence of four tubular capacitive probes 

Amelia Bellosta-Diest, Miguel Echeverría, and Miguel Ángel Campo-Bescós

Efficient water management is a critical challenge in agriculture, particularly in regions such as Navarra, Spain, where irrigation accounts for up to 87% of total freshwater consumption. Capacitive soil moisture probes are widely adopted in precision agriculture; however, a notable inconsistency persists between the sensing ranges claimed by manufacturers (typically 5–15 cm) and those reported in the scientific literature (generally <6 cm). This discrepancy arises largely from the absence of standardized criteria to define the effective sensing volume of these sensors.

This study presents a replicable empirical methodology to characterize the volume of influence of four commercially available capacitive probes: AquaCheck, EnviroPro, Gerbil, and Sentek. Controlled laboratory experiments were conducted under air and water conditions, using 0.2 mm paper layers to incrementally simulate increasing distances from the moisture source. Sensor outputs were normalized to enable direct comparison across heterogeneous measurement units, including Volumetric Water Content (VWC%) and Scaled Frequency Units (SFU%).

All probes exhibited a logarithmic decrease in signal intensity with increasing distance from the water source. By modeling the sensing domain as a cylindrical volume with a 10 cm height and defining its effective extent at the 99.5th percentile of cumulative signal response, substantial differences among probes were observed. The estimated sensing volumes ranked as follows: Gerbil (710.59 cm³), EnviroPro, AquaCheck, and Sentek (236.71 cm³).

The results demonstrate that sensing volumes vary considerably among manufacturers and are strongly dependent on the percentile threshold used to define the effective volume of influence. These findings confirm the lack of uniformity in probe sensing behavior and underscore the need for technical standardization. Although derived from controlled laboratory conditions and therefore comparative in nature, the results provide critical insight for interpreting soil moisture measurements and offer a more reliable technical basis for informed decision-making in irrigation management.

How to cite: Bellosta-Diest, A., Echeverría, M., and Campo-Bescós, M. Á.: Evaluation of the volume of influence of four tubular capacitive probes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10739, https://doi.org/10.5194/egusphere-egu26-10739, 2026.

EGU26-13322 | Posters on site | SSS6.1

Scale Dependence of Soil Hydraulic Properties Obtained from Evaporation Experiments: Effect of Sample Height 

Prabhudutta Khatua, Jannis Bosse, Bhabani S. Das, Wolfgang Durner, and Sascha C. Iden

Climate-induced droughts and increasingly erratic precipitation patterns are stressing water resources and underscore the need for a better understanding of soil water flow and storage. Soil hydraulic properties, in particular the water retention curve and the hydraulic conductivity curve, are fundamental inputs for predicting soil water dynamics and for simulating variably-saturated flow with the Richards equation. The simplified evaporation method is a common laboratory technique for estimating SHP. It relies on linearization assumptions that introduce only negligible errors when sample heights are small. While a handful of theoretical studies have addressed how sample height affects SHP estimates, a systematic experimental assessment of this scale-dependence is still lacking.

We performed evaporation experiments on packed soil columns (5, 10 and 15 cm high) using both a sandy and a silty soil. Throughout each run, we recorded column mass to track water content and evaporation rate, and we measured matric potential with mini-tensiometers.  Applying the simplified evaporation method, we derived point data for the water retention curve and hydraulic conductivity curve. A flexible model which accounts for capillary and non-capillary storage and flow was fitted to the data using the program SHYPFIT. Inverse simulations with Hydrus-1D were then applied to assess the influence of sample height without relying on the assumptions of the simplified evaporation method. This allowed to discriminate between an actual scale-dependence of soil hydraulic properties and differences which are caused by the assumptions of the simplified evaporation method.

Our findings reveal that column height has a minimal impact on the water retention curve, with a tendency of a slight broadening of the pore size distribution and a modest increase in residual water content. The effect on hydraulic conductivity was even less pronounced. The results of inverse simulations substantially attenuate these height-related discrepancies in soil hydraulic properties, leaving only marginal differences.

How to cite: Khatua, P., Bosse, J., Das, B. S., Durner, W., and Iden, S. C.: Scale Dependence of Soil Hydraulic Properties Obtained from Evaporation Experiments: Effect of Sample Height, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13322, https://doi.org/10.5194/egusphere-egu26-13322, 2026.

EGU26-14166 | Orals | SSS6.1

Multifractal fingerprints of rain events on soil moisture and respiration in a Mediterranean grassland 

Ernesto Sanz, Victor Cicuendez, Rosa M. Inclán, Carlos Yagüe, and Ana M. Tarquis

Mediterranean grasslands operate near the edge of water limitation and are strongly driven by short, discrete rainfall events. Yet, we still know little about how the event-scale dynamics of soil moisture (SWC), soil temperature (ST) and soil respiration (reorganize between wet and dry years. Here we use multifractal detrended fluctuation analysis (MFDFA) on time series in El Escorial (central Spain) to characterise post-rain dynamics in two contrasting years: a relatively wet year (2022) and a dry year (2024). We focus on April (spring) and September (), and six series and interactions of the soil–plant–atmosphere system: SWC, ST, CO₂ and the pairs SWC–ST, SWC–CO₂, ST–CO₂. For each post-rain window (several days after individual events) we quantify for these six series, and compare their behaviour across seasons and years.

In April 2022, Δα is moderate and H2 shows a stable, moisture-dominated backbone: SWC–SWC and SWC–ST are highly persistent, while CO₂–CO₂ and ST–CO₂ are often antipersistent while still moderately multifractal, indicating that CO₂ acts mainly as a reactive signal to water and temperature. In April 2024, Δα increases markedly for CO₂–CO₂ and SWC–CO₂, and their H2 shifts towards stronger persistence, while ST–CO₂ becomes more antipersistent. This points to a reorganisation whereby, under early-season water stress, carbon–moisture couplings become the main carriers of complexity and memory, and ST becomes a more reactive pathway. In September 2022, multifractality remains moderate but a strongly negative asymmetry in SWC–SWC and SWC–CO₂ reveals sharp rewetting and respiration pulses driven by soil moisture. In September 2024, Δα becomes very high for SWC–SWC, SWC–ST and CO₂–CO₂, with H2 ≈ 0.9–1.0 for SWC–SWC, SWC–ST and CO₂–CO₂, while asymmetry shifts: extremes move from moisture-dominated (negative in SWC–CO₂) to carbon-dominated (positive in CO₂–CO₂) and ST–CO₂ becomes strongly antipersistent.

In conclusion, these results show that using SWC, ST and and their interactions it is possible to identify distinct post-rain “modes” of ecosystem functioning: (1) a wet-year regime with a persistent SWC–ST backbone and moisture-driven pulses, and (2) a dry-year regime where long-range memory strengthens in SWC–ST–CO₂ but extremes and intermittency shift into the carbon subsystem, indicating loss of hydrological buffering and increased carbon–thermal stress after rainfall events. Such event-scale indicators could be used to inform adaptive grassland and land management strategies in Mediterranean regions, by identifying when ecosystems are approaching critical thresholds of water and carbon stress.

Acknowledgement: This paper is part of the project Clasificación de Pastizales Mediante Métodos Supervisados—SANTO, from Universidad Politécnica de Madrid (project number: RP220220C024). And funded by the European Union. Views and opinions expressed are however those of the author(s) and do not necesarily reflect those of the European Union or European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

How to cite: Sanz, E., Cicuendez, V., Inclán, R. M., Yagüe, C., and Tarquis, A. M.: Multifractal fingerprints of rain events on soil moisture and respiration in a Mediterranean grassland, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14166, https://doi.org/10.5194/egusphere-egu26-14166, 2026.

EGU26-14368 | ECS | Orals | SSS6.1

Development of an in situ monitoring system for tracking solutes and gas emissions in soil 

Luciano Melo Silva, Simon Schwingenschuh, Minsu Kim, Jens Weber, Christian Holeček, Thomas Birngruber, Bettina Weber, and Stefanie Maier

Soil is a complex medium that supports numerous biological and chemical processes across multiple phases. The transformation of inorganic and organic compounds can lead to the accumulation of harmful substances in soil and the emission of reactive gases that affect air quality and climate. However, quantitative measurements remain limited by the lack of methods for in situ monitoring of multiphase processes and by approaches restricted to one or a few compounds at a time, measured either in the liquid or the gas phase. Thus, gaps persist in quantifying and monitoring transformation processes occurring at the gas-liquid interface.

Here, we describe a newly developed method to continuously measure gas fluxes and solute concentrations in soil by coupling a dynamic gas flux chamber (DC) with an open-flow microperfusion (OFM) technique, hereafter termed OFM-DC. The latter OFM method had previously been applied in medicinal research for drug development, and we have optimized it for the utilization in soil. OFM enables the continuous sampling and concentration measurement of soil solutes (e.g., microbial metabolites) in both laboratory and field settings, whereas DC quantifies soil trace-gas emissions (e.g., CO2, NOx, and HONO) over time.

We will present first experiments using the novel setup with synthetic soil systems that have characterized microbial activity and chemical properties. Our case studies on in situ measurements of microbial nitrogen (N) processes and reactive N gas (NO, HONO) emissions reveal the effectiveness of our methods for investigating multiphase soil transformation mechanisms under dynamic soil water conditions.

The OFM–DC measurement setup demonstrates its potential for long-term field monitoring of soil–air quality and the related impacts on planetary health. The obtained data can support improved soil management, which in turn can minimize soil degradation and trace-gas emissions.

How to cite: Melo Silva, L., Schwingenschuh, S., Kim, M., Weber, J., Holeček, C., Birngruber, T., Weber, B., and Maier, S.: Development of an in situ monitoring system for tracking solutes and gas emissions in soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14368, https://doi.org/10.5194/egusphere-egu26-14368, 2026.

EGU26-16325 | Posters on site | SSS6.1

Differences in soil water retention properties and plant available water below trees and grasses in a Mediterranean savanna 

Max Wittig, Sinikka J. Paulus, Gerardo Moreno, Arnaud Carrara, Laura Nadolski, Anke Hildebrandt, and Sung-Ching Lee

Feedback loops between plants and soil shape and stabilize plant communities. In savanna-like landscapes, which are common in arid and semi-arid regions, trees and grasses coexist at close spatial scales. These different growth forms can influence soil formation and properties within just a few meters of each other.

In this study, we investigate soil hydraulic properties in an extensively managed Holm oak savanna-like ecosystem (Dehesa) in central Spain by comparing soils beneath trees and in adjacent open grass areas. We analyze saturated hydraulic conductivity, soil water characteristic curves, derived parameters such as field capacity and permanent wilting point, and associated soil texture and organic carbon content. In addition, we analyze a 10-year time series of in situ soil water content and micrometeorological variables within microhabitats to determine whether differences in the static properties also translate into water availability differences within the ecosystem.

On average, the topsoil below trees contained 6.2% more pore space within the range of plant-available water than the topsoil below open grass areas. This was associated with, and likely driven by, higher levels of organic carbon beneath the trees. There was no significant difference in clay content between the two microhabitats. 

However, field observations of soil moisture showed high heterogeneity, with the soil beneath the trees not remaining significantly wetter than in the open area despite the higher storage capacity and reduced radiative energy input due to shading. Data from two eddy covariance towers showed that, unlike grasses, trees sustain transpiration throughout the year, suggesting enhanced water uptake near the trunk.

Together, these results illustrate how different vegetation types affect the same soil just a few metres apart. They also show that, although trees increase soil water storage capacity, it remains unclear whether this positive effect is offset by the large amounts of water extracted by trees and higher interception losses, ultimately leading to the soil being similarly dry beneath trees as in the open area during the Mediterranean summer.

How to cite: Wittig, M., Paulus, S. J., Moreno, G., Carrara, A., Nadolski, L., Hildebrandt, A., and Lee, S.-C.: Differences in soil water retention properties and plant available water below trees and grasses in a Mediterranean savanna, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16325, https://doi.org/10.5194/egusphere-egu26-16325, 2026.

EGU26-16443 | Orals | SSS6.1

The International Soil Moisture Network (ISMN): A data service providing free access to in situ observations 

Matthias Zink, Tunde Olarinoye, Fay Böhmer, Kasjen Kramer, and Wolgang Korres

Soil moisture is a key variable impacting land–atmosphere interactions, hydrological extremes, ecosystem processes, and agricultural productivity among others. Reliable in situ observations are essential for understanding soil moisture dynamics and for evaluating satellite-based products and land surface models. However, ground-based soil moisture measurements are often scattered across independent networks and remain difficult to access in a harmonized form. The International Soil Moisture Network (ISMN) was established to overcome these limitations by providing a global, freely-accessible repository of quality-controlled in situ soil moisture observations. Its mission is to support Earth system science, remote sensing validation, and model development through standardized and traceable soil moisture data.

The ISMN collects soil moisture time series from a wide range of regional, national, and international monitoring networks. Contributing datasets are harmonized in terms of format, metadata, and temporal resolution and undergo a consistent quality control procedure. The database includes multi-depth measurements across diverse climates, land cover types, and soil conditions, complemented by ancillary site information. Data are distributed through a dedicated web interface (https://ismn.earth), enabling efficient data discovery and use for large-scale and local studies.

Ongoing efforts are focusing on expanding the database by incorporating additional stations and data providers from institutional or governmental sources, as well as enhancing data quality and consistency to support more robust long-term analyses. Further resources are directed towards fortifying the operational system and improve usability to better serve our users. Beyond research applications, the ISMN increasingly contributes to the data-to-value chain of international initiatives that are led by the World Meteorological Organization (WMO), the Food and Agriculture Organization (FAO), and the Global Climate Observing System (GCOS). One example is the contribution of ISMN data to WMO’s annual State of the Global Water Resources report, supporting global assessments of hydrological conditions.

How to cite: Zink, M., Olarinoye, T., Böhmer, F., Kramer, K., and Korres, W.: The International Soil Moisture Network (ISMN): A data service providing free access to in situ observations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16443, https://doi.org/10.5194/egusphere-egu26-16443, 2026.

Soil salinization dynamics are driven by complex interactions among climatic conditions, hydrological processes, and anthropogenic activities. Due to this complexity, traditional single global models often struggle to capture spatial heterogeneity, leading to high prediction uncertainty and limited robustness at the pixel scale.

To address these challenges, this study proposes a multi-source data-driven framework based on environmental similarity matching to enhance prediction adaptability in heterogeneous environments. We compiled a dataset of approximately 35,000 topsoil samples from arid and semi-arid regions and constructed a multidimensional covariate system grounded in soil-forming factor theory. The framework comprises three components: (1) heterogeneity-based stratification, partitioning samples by climate and land use; (2) model library construction, developing candidate machine learning ensembles within each stratum via repeated cross-validation; and (3) similarity-based prediction, which employs Gower distance to quantify environmental similarity between target locations and training samples to select the optimal model.

Evaluations indicate that the Random Forest algorithm exhibits robust stability across stratified regions. Compared to single models, the environment similarity–constrained selection strategy significantly improved performance in heterogeneous regions; notably, the coefficient of determination (R2) in arid cropland areas increased from 0.748 to 0.807. Feature contribution analysis supports the necessity of stratified modeling, revealing that soil salinity in arid regions is primarily driven by vegetation variables and geographic, whereas remote sensing indices and soil pH dominate in semi-humid regions. The methodological framework developed in this study provides a new approach for high-precision soil salinity mapping.

KEYWORDS: Soil salinization; Environmental similarity; Heterogeneous environments; Machine learning.

How to cite: She, X., Frankl, A., and Luo, G.: Soil salinization prediction for heterogeneous environments: an environmental similarity–based modeling framework, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16578, https://doi.org/10.5194/egusphere-egu26-16578, 2026.

Numerous reviews and meta-analyses have examined the vast body of literature evaluating the impact of the different agricultural soil preparation or of the various steps of cultural itinerary on plant growth, water regulation, carbon storage, etc… in short, on soil functions and services, which inherently depends on the soil processes occurring at the pore scale.

For example, the largest pores in the soil (macropores) significantly contribute in regulating the soil water cycle, as they improve infiltration capacity and drainage rates. There is however limited knowledge about the interactions between initial and boundary conditions with the topology and geometry of macropore networks in natural soils, and their influence on water flow. More long-term monitoring data, and dynamic experimentations, are needed to evaluate and model the impact of agricultural management practices on the soil resilience to maintain its functions.

One method to quantify the arrangement and the size distribution of the soil macropore network is X-ray computed tomography (X-ray CT), which is now routinely used world-wide. Images acquisition, pre- and post-processing, and pore structure quantification protocols are increasingly refined and tending towards standardization, thereby contributing to shared and comparable knowledge.

We initiated a research project aiming at monitoring the soil macropore network in agricultural soil and evaluate its response to different management practices (tillage recovery and multispecies cover cropping) using X-ray CT. We are developing a sampling device to extract soil samples (100 cm³) for analysis with X-ray µCT at time zero, after which the samples will be reinserted and embedded into the field for a six-months period before being extracted again. This process will be repeated at least four times.

We hypothesize that tillage, occurring above the sample, where it creates a connected isotropic soil pore structure with a low spatial extent, will modify the living and biochemical equilibrium of the soil and therefore modify the macropore network inside the sampling cylinder, located below the plough pan. On the opposite, we estimate that resistant macropore would remain when no tillage is applied, with an increased resistance under a covered soil. We also hypothesize that persistent macropore network is preferentially used by the main plant roots, as the macropores network created by roots is also the primary contributors of the network connectivity.

The experimental set up will be installed in the field in February 2026 for a short-term trial involving monthly sample extractions in order to assess the feasibility and accuracy of the method. The study per se will be conducted afterwards.  We will present the encountered challenges with this initial trial as well as the first quantifications of temporal changes of the soil macropore network with time.

Sarah Smet, as a post-doctoral research fellow, acknowledges the support of the National Fund for Scientific Research (Brussels, Belgium).

How to cite: Smet, S.: Challenges in monitoring the undisturbed top soil pore scale structure of an agricultural field, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17900, https://doi.org/10.5194/egusphere-egu26-17900, 2026.

EGU26-18251 | Posters on site | SSS6.1

Between two Furrows: Soil bulk density from Non-Invasive Seismology 

Maria Tsekhmistrenko, Joe Collins, Jeroen Ritsema, Simon Jeffery, and Tarje Nissen-Meyer

Soil is a critical resource for global food security, yet conventional physical soil analyses, remote sensing and geophysical methods are often labour-intensive and time-consuming. This study explores the potential of ultra-high-frequency (>500 Hz) hammer-source seismology to characterise soil physical properties at the decimetre scale.

Field experiments were conducted within a long-term trial near Harper Adams University (UK) comparing Conservation and Conventional agricultural practices. Two 1.5 m transects were surveyed in each treatment using 16 geophones, with soil samples collected at matching horizontal resolution. P-wave velocity (vp) was estimated in the upper 40 cm of the soil profile and compared with bulk density derived from physical samples.

Results show a strong and statistically significant correlation between vp and bulk density. This relationship is consistent throughout the depth profile, with good agreement between seismic velocity images and interpolated bulk-density measurements from soil cores. The findings demonstrate that ultra-high-frequency seismic methods can reliably resolve small-scale soil structure relevant to agricultural management.

Our results indicate that ultra-high-frequency seismic analysis is a promising and cost-effective approach for estimating soil bulk density. This technique has clear potential to support agronomic and land-management decision making.

How to cite: Tsekhmistrenko, M., Collins, J., Ritsema, J., Jeffery, S., and Nissen-Meyer, T.: Between two Furrows: Soil bulk density from Non-Invasive Seismology, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18251, https://doi.org/10.5194/egusphere-egu26-18251, 2026.

EGU26-18983 | Posters on site | SSS6.1

Virtual Soil Simulator -  unsaturated pore media water transport model including film flow and isothermal vapor transport phenomena 

Krzysztof Lamorski, Maciej Kozyra, and Cezary Sławiński

Simulation of unsaturated water movement in porous media has conventionally been based on the Richards equation (RE), coupled with hydraulic conductivity functions that account solely for capillary-driven liquid flow. This approach, however, overlooks the presence of thin water films adsorbed on solid surfaces, which may contribute appreciably to transport processes under moderately dry to dry conditions. Recent advances, particularly the Peters–Durner–Iden (PDI) framework, enable a physically consistent representation of film flow and isothermal vapor diffusion within formulations of unsaturated hydraulic conductivity.

In this work, we introduce the Virtual Soil Simulator, a finite-volume, OpenFOAM-based implementation of the RE augmented with the PDI model to explicitly represent capillary, film, and vapor transport processes. Model performance was assessed using a suite of benchmark tests with analytical or well-established numerical reference solutions, including one-dimensional infiltration, infiltration under steep hydraulic gradients, and two-dimensional nonlinear infiltration scenarios. The results demonstrate high numerical accuracy and robust mass conservation.

The applicability of the model is further demonstrated through two case studies. In the first, inverse simulation of a 12-day soil core drying experiment showed that the classical RE formulation reproduced measurements only during the early, wet stage, whereas the PDI-enhanced model remained consistent with observations over the entire drying period and accurately represented regimes dominated by film and vapor flow. In the second case, a synthetic desaturation analysis conducted across 467 soil types indicated that film flow markedly accelerates drainage, with significant effects persisting even at comparatively high pressure heads (−10 m). These findings indicate that neglecting film flow leads to systematic underestimation of unsaturated hydraulic conductivity and distorted predictions of drying and drainage behavior. Moreover, simulations at very low pressure heads emphasize that reliable representation of transport processes requires the combined consideration of both film and vapor fluxes.

Acknowledgments

This research was founded by the National Science Centre within contract 2021/43/B/ST10/03143.

How to cite: Lamorski, K., Kozyra, M., and Sławiński, C.: Virtual Soil Simulator -  unsaturated pore media water transport model including film flow and isothermal vapor transport phenomena, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18983, https://doi.org/10.5194/egusphere-egu26-18983, 2026.

EGU26-19707 | Orals | SSS6.1

Contrasting perspectives on soil evaporation in soil science and land surface modelling 

Jan De Pue, José Miguel Barrios, William Moutier, and Françoise Gellens-Meulenberghs

Soil evaporation is an essential component of the hydrological cycle. Within soil science, the fundamental mechanisms involved in soil evaporation are well-documented. However, within the realm of land surface modelling, the coarse spatial and temporal scale, as well as the computational limitations result in a simplified representation of this highly non-linear process.
Here, we evaluated the current representation of soil evaporation within the RMI evapotranspiration (ET) and surface turbulent fluxes (STF) model applied in the frame of  the EUMETSAT Satellite Applications Facility  (LSA)  on support to Land Surface Analysis (SAF) (http://lsa-saf.eumetsat.int/). This model is used to produce remote-sensing based estimates of the fluxes, using Meteosat Second Generation (MSG) observations. With 30 minutes interval, estimates of these fluxes are provided in near real time, resulting in a data record that spans over 20 years.
We highlighted the discrepancies between the simplified representation of soil evaporation and the soil physical solution. To achieve this, synthetic experiments were performed using Hydrus as a reference for comparison with the LSA SAF ET-STF model. Additionally, a comparison was made with formulations in other land surface models (Surfex, ECLand & GLEAM), the resulting texture-dependent bias was demonstrated and impact of sub-grid heterogeneity was shown. Finally, an updated formulation was tested in large-scale ET simulations and evaluated using in situ observations.
Though widely recognised as one of the fundamental processes in the hydrological cycle, the perspective on soil evaporation is very different in soil physics compared to land surface modelling. Here, we attempted to harmonize both approaches in a pragmatic manner.

How to cite: De Pue, J., Barrios, J. M., Moutier, W., and Gellens-Meulenberghs, F.: Contrasting perspectives on soil evaporation in soil science and land surface modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19707, https://doi.org/10.5194/egusphere-egu26-19707, 2026.

EGU26-19852 | ECS | Orals | SSS6.1

 Resolving Event-Driven Soil Gas Fluxes by Coupling High-Frequency Chamber Measurements with Advection–Diffusion Modeling 

Alex Naoki Asato Kobayashi, Neomi Widmer, Clément Roques, Daniel Hunkeler, Laurel ThomasArrigo, and Philip Brunner

Soil greenhouse gas (GHG) emissions in agricultural, forestry, and other land uses are driven by coupled biological and physical processes. To monitor these fluxes, automatic chamber systems are now widely used as point-scale measurement techniques. Their high-frequency records provide richer observational coverage across meteorological and hydrogeological conditions, thereby improving the accuracy of annual soil carbon budgets.

Despite advances in monitoring, long-term soil carbon models usually focus solely on simulating soil carbon turnover and decomposition, omitting mechanisms of soil gas transport. Although this simplification may be reasonable in the topsoil, sharp changes in soil saturation or other meteorological factors are not necessarily captured, which can lead to underestimating short-term emissions and biasing annual GHG budgets.

We investigated this issue in a pilot site in the agricultural region (Seeland region, Switzerland) where the water table depth was controlled. We simulated a short flooding event and continuously monitored soil gas flux at high frequency. And our results showed a dampening in CO2 soil gas flux for the flooded plot compared to our control plot, which persisted after it was drained. While this decrease in CO2 flux can be partly attributed to a reduction in aerobic microbial activity, the timescale to recovery to background CO2 fluxes can be attributed to other mechanisms, including advection-diffusion gas transport in the unsaturated zone.

To interpret these dynamics, we employed a 1-D model to assess the role of advection-diffusion, including pressure-driven gas transport, during short-term events. Our model couples water, heat, and gas transport with microbially driven CO2 production. We conducted a sensitivity analysis evaluating different soil conditions and event intensities.

Finally, the integration between high-frequency soil gas flux monitoring systems and gas transport in the unsaturated zone helps deconvolute the soil gas flux signal, while improving the accuracy of the soil GHG budget. This will enhance the process understanding, which can support agricultural management strategies to minimize GHG emissions.

How to cite: Asato Kobayashi, A. N., Widmer, N., Roques, C., Hunkeler, D., ThomasArrigo, L., and Brunner, P.:  Resolving Event-Driven Soil Gas Fluxes by Coupling High-Frequency Chamber Measurements with Advection–Diffusion Modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19852, https://doi.org/10.5194/egusphere-egu26-19852, 2026.

EGU26-20805 | ECS | Orals | SSS6.1

Damage mechanism and spatial heterogeneity of loess subjected to explosion loading 

Dong Tang, Longsheng Deng, Tong Wang, and Wenjie Zhang

The accelerated urbanization of the Chinese Loess Plateau has promoted the wide application of engineering explosion on the rapid excavation in loess regions. However, blasting in loess typically causes the various degrees of damage and failure to the remaining soil mass, compromising the bearing capacity and stability of the surrounding loess. Therefore, understanding the damage characteristics and microstructure changes of loess under explosion loading is essential for the construction of explosion projects in loess regions. In this study, the in-situ explosion experiment, dynamic triaxial tests, and micro-computed tomography (μ-CT) technology were employed to reveal the development characteristics of the blasting cavity, explore the dynamic properties of loess following the explosion, and visualize and quantitatively analyze the variation regulations of the loess microstructure. The results indicated that the shape of the blasting cavity was approximated as an ellipsoid. Explosion caused the breakage and rearrangement of particles and aggregates, significantly increasing the compaction of the loess mass, which promoted the evolution of loess dynamics properties towards high dynamic shear modulus and low dynamic damping ratio. In addition, the explosion loading significantly changed the size, number, morphology, and orientation of the loess pores, thereby causing a degradation in the pore network structure, and reducing its connectivity. Based on the spatial differentiation characteristics of the loess microstructure, the explosion zone outside the blasting chamber was divided into broken, plastic, and elastic zone. These findings provide valuable insights into the damage mechanism of loess under blasting loading.

How to cite: Tang, D., Deng, L., Wang, T., and Zhang, W.: Damage mechanism and spatial heterogeneity of loess subjected to explosion loading, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20805, https://doi.org/10.5194/egusphere-egu26-20805, 2026.

EGU26-21721 | ECS | Posters on site | SSS6.1

Biochar effects on soil hydraulic properties: high-resolution analysis for contrasting soil textures 

Jannis Bosse, Magdalena Sut-Lohmann, Wolfgang Durner, and Sascha C. Iden

Biochar amendment is widely promoted as a means to sequester carbon while improving soil physical properties. Its hydraulic effects depend strongly on particle size and application rate. Available studies mainly focus on enhanced water retention in sandy soils. Studies that include fine-textured soils and quantify effects on unsaturated hydraulic conductivity remain limited, hampering the development of reliable management strategies. Here, we present the effects of biochar addition on the soil hydraulic properties (SHP) of two agricultural topsoils with contrasting textures. Water retention and hydraulic conductivity of a loam and a loamy sand were measured after amendment with wood-derived biochar of three particle sizes (<0.5, <2, and <10 mm) applied at three dosages (1, 2 and 4 wt.%). All samples were packed under identical force and characterized over the full moisture range using the simplified evaporation method, complemented by saturated conductivity measurements and dew-point measurements of dry-range water retention. A comprehensive soil hydraulic model incorporating adsorption and film flow was fitted to all data, enabling systematic analysis of how biochar size and amount affect hydraulic behavior. Relative to the controls, all biochar treatments increased porosity and saturated water content. Saturated hydraulic conductivity increased by up to 200% for the loam but decreased for the sand. In the loam, biochar application improved air capacity by up to 6 vol.% but had no effect on plant-available water. In contrast, biochar quantity and particle size had no effect on the air capacity of the sand, but increased its available water content by up to 3 vol.%. Higher biochar application rates were strongly associated with lower air-entry values, reduced bulk density, and a broader pore-size distribution. This indicates a shift toward smaller pores in the loamy sand and larger pores in the loam. Smaller biochar particles slightly increased unsaturated hydraulic conductivity between 100 and 300 cm suction for both soils, but reduced water retention in the sand at suctions greater than 100 cm compared to coarser biochar. Overall, our findings demonstrate a substantial influence of biochar on soil hydraulic conductivity and water retention, with effects being stronger in coarse-textured soils and more sensitive to application rate than to particle size.

How to cite: Bosse, J., Sut-Lohmann, M., Durner, W., and Iden, S. C.: Biochar effects on soil hydraulic properties: high-resolution analysis for contrasting soil textures, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21721, https://doi.org/10.5194/egusphere-egu26-21721, 2026.

EGU26-453 | ECS | Posters on site | SSS6.4

Explicit simulation of the impact of subsoil compaction on root growth dynamics 

Bart Flier, Loes van Schaik, and Martin Mulder

Agriculturally induced subsoil compaction degrades soil structure, negatively affecting spatiotemporal soil moisture dynamics and root growth. Natural and mechanical recovery of the soil structure in sandy soils is limited, making the degraded layers very persistent and hard to alleviate. Subsoil compaction compresses the soil resulting in a decrease in pore sizes and pore connectivity while increasing the penetration resistance. In the compacted layer and the soil layer above, subsoil compaction intertwines the effects on important soil physical and biological processes related to the water retention, water and air transport, and soil strength. These processes influence root development and thereby reduce crop yields by increased aeration-, drought-, and mechanical stresses exerted on roots. This complexity makes it urgent to further understand fundamental processes regarding subsoil compaction in order to accurately simulate both soil moisture dynamics and root growth. Earlier research showed that root growth is affected by subsurface compaction but this effect is often missing in agro-hydrological models.

This study aims to bridge this gap by implementing the effect of soil strength and soil moisture regime on root penetration in the SWAP (Soil Water Atmosphere Plant) model to simulate the influence of soil compaction on the root growth. Therefore, the existing SWAP concept of soil moisture dependent root growth will be extended with a module for mechanical strength dependent root growth based on a theoretical equation of the influence of bulk density, soil moisture and soil texture on root growth (Jones et al., 1991). In a first step the influence of the extended module on soil moisture regime and root growth will be validated against root development data from greenhouse soil column experiments where silage maize was grown under different subsoil compaction scenarios. For the soil physical parameterization of SWAP, the soil physical characteristics were measured for these specific soil columns.

After validation, the new module will be used to simulate the effect of subsoil compaction in an agricultural field. Field samples from a Dutch sandy soil are collected and artificially compacted with a load of 300 kPa in the laboratory, representing loadings exerted on the subsoil because of agricultural machinery. For these samples the water retention and hydraulic conductivity curve, and the bulk density will be determined. These results are used to parameterise a soil profile with and without compaction, in order to simulate the influence of compaction on soil moisture dynamics and root growth for silage maize under natural hydrological conditions in the field.

This study aims to improve the overall understanding and simulation of changes in soil moisture dynamics and root penetration due to compacted sublayers. The addition of a soil strength module in SWAP-WOFOST will enable soil hydrological- and agronomical simulations, potentially improving assessment of agricultural practices and their resilience to different hydrological scenarios.

 

References

Allan Jones, C., Bland, W. L., Ritchie, J. T., & Williams, J. R. (1991). Simulation of Root Growth. Modelling Plant and Soil Systems31, 91-123.

How to cite: Flier, B., van Schaik, L., and Mulder, M.: Explicit simulation of the impact of subsoil compaction on root growth dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-453, https://doi.org/10.5194/egusphere-egu26-453, 2026.

Agricultural tillage and compaction create abrupt hydraulic interfaces in the vadose zone by forming contrasting tilled (loose) and untilled (compacted) soil layers with differing bulk densities. These interfaces influence pore connectivity, hydraulic conductivity, and water redistribution, thereby controlling infiltration and deep percolation in agricultural fields. This study used HYDRUS-2D to evaluate the performance of the single-porosity van Genuchten–Mualem model (VGM) against the dual-porosity Durner model (DM) for simulating water flow across a compacted interface in a two-layer silty loam profile representative of field conditions.  Hydraulic parameters were obtained by inverse modeling of laboratory hood–tension disc infiltrometer experiments conducted under varying suction heads with and without intermittent stop-flow periods. Model performance was evaluated for both continuous and intermittent infiltration scenarios. A global Sobol sensitivity analysis was performed to identify the most influential hydraulic parameters across suction regimes. The dual-porosity Durner model markedly outperformed the single-porosity VGM, especially in capturing sharp wetting front advancement, preferential flow cessation during redistribution, and water partitioning between macropore and matrix domains during stop-flow periods. The VGM tended to overly smooth the hydraulic contrast at the interface, resulting in unrealistic infiltration behavior. Sobol analysis revealed that compaction shifts parameter sensitivity: at lower suction, macropore parameters (α, n) dominate due to reduced macroporosity, whereas at higher suctions, matrix-region parameters (α₁, n₁, w₂) in the DM become more influential as flow transitions to matrix-dominated conditions. These results emphasize the critical role of density-driven hydraulic interfaces in controlling infiltration and redistribution and strongly support the use of dual-porosity models such as the Durner for predicting water flow prediction in heterogeneous, compaction-affected agricultural soils. The results have direct implications for improved modeling of water dynamics and agrochemical movement under realistic field management practices.

How to cite: Yadav, S. and Swami, D.: Hydraulic Interfaces from Soil Compaction: Evidence from Experiments and Numerical Simulation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1179, https://doi.org/10.5194/egusphere-egu26-1179, 2026.

EGU26-2591 | Orals | SSS6.4

Zero tillage impacts on soil physical properties but not on crop yield 

Sajjad Raza, Brian S. Atkinson, Imrul Hossain, Ho-Chul Shin, Hannah V. Cooper, Craig J. Sturrock, Andrew B. Riche, Malcolm J. Hawkesford, and Sacha J. Mooney

The adoption of conservation agriculture practices, such as zero-tillage (ZT), is increasingly being promoted to improve soil health and sustainability. However, the impacts of ZT on soil physical properties, root development, and crop productivity remain context-dependent and require further investigation. This study evaluated the effects of conventional tillage (CT) and ZT on soil macroporosity, penetration resistance, root density, and grain yield at two sites: Rothamsted (4 years of ZT, four wheat genotypes) and Sutton Bonington (10 years of ZT, one genotype). Soil cores were analysed using X-ray Computed Tomography (XRCT), revealing reduced macroporosity under ZT compared to CT at 0–10 cm depth, with particularly pronounced decreases from 11% to 3% at Rothamsted and from 19% to 2% at Sutton Bonington in the 0–5 cm layer. ZT also enhanced connected porosity at both sites with prominently more under long-term ZT (10-yr). Additionally, penetration resistance at 0-20 cm depth was 26% greater under ZT at Rothamsted and 109% greater at Sutton Bonington, with significant differences extending down to 20 cm and 45 cm depths at Rothamsted and Sutton Bonington, respectively. Despite these considerable differences in soil physical properties, root density remained largely consistent across both tillage treatments, except for increases in C_egt2_B20 and Rht-B1C genotypes at 40-50 cm depth under ZT, which could be due to an enhanced biopore network observed at this depth. No significant variation in grain yield was observed between CT and ZT treatments for most genotypes, except C_egt2_B20 where ZT decreased yield by 18%. These findings show that under ZT clear differences in soil structure develop, without compromising crop productivity or root development in most genotypes. This study highlights the trade-offs in tillage systems and shows ZT is a sustainable soil management practice that preserves yield potential while enhancing soil structure.

How to cite: Raza, S., Atkinson, B. S., Hossain, I., Shin, H.-C., Cooper, H. V., Sturrock, C. J., Riche, A. B., Hawkesford, M. J., and Mooney, S. J.: Zero tillage impacts on soil physical properties but not on crop yield, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2591, https://doi.org/10.5194/egusphere-egu26-2591, 2026.

EGU26-3722 | ECS | Orals | SSS6.4

Timber harvesting shows persistent effects on soil hydrology and surface runoff 20 years past trafficking 

Maximilian Behringer, Marcus Froemel, Klaus Katzensteiner, Barbara Kitzler, Bernhard Kohl, Veronika Lechner, Armin Malli, Gerhard Markart, Gertraud Meißl, and Christian Scheidl

Timber harvesting operations significantly impact soil hydrological parameters, particularly when heavy machinery is involved.

We quantified the recovery of skid trails by measuring soil physical properties and surface runoff one (H01) and three (H03) years after trafficking, and on a trail trafficked ca. 21 years prior (H21). Adjacent untrafficked plots served as controls to establish a baseline. The study site is a moderately sloped (18–26%) Stagnic Cambisol in the Flysch zone of the Vienna Woods. Soil properties were measured using undisturbed cores (250 cm³, n=3 per treatment and depth) at 5 and 15 cm depths. Surface runoff was assessed with high-intensity rainfall simulation experiments (100 mm h-1, 50 m² plots).

Bulk density in control plots was low at both depths (5 cm: 0.96±0.07 g cm-3; 15 cm: 1.00±0.12 g cm-3). Trafficking increased bulk density at 15 cm by approximately 25%, with only partial recovery after 20 years, whereas at 5 cm it recovered to control levels (H21: 1.00±0.03 g cm-3). Saturated hydraulic conductivity showed a similar trend, albeit with high variability. Water retention curves indicated a marked loss of macroporosity one and three years after trafficking at both depths. After 20 years, recovery was evident mostly in the topsoil. This produced a porous, recovered surface layer sitting on top a compacted hardpan at 15 cm depth.

Runoff dynamics reflected this stratification: H01 and H03 exhibited infiltration-excess overland flow with final surface runoff coefficients (Ψf) of 0.66 and 0.60 respectively, whereas H21 shifted to saturation-excess overland flow once the top layer was saturated (Ψf = 0.23).

These results demonstrate the long-term effect of subsurface compaction on clayey forest soils, underscoring the need to minimize trafficked area and to confine operations to permanently marked skid trails to safeguard soil functions and associated ecosystem services.

How to cite: Behringer, M., Froemel, M., Katzensteiner, K., Kitzler, B., Kohl, B., Lechner, V., Malli, A., Markart, G., Meißl, G., and Scheidl, C.: Timber harvesting shows persistent effects on soil hydrology and surface runoff 20 years past trafficking, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3722, https://doi.org/10.5194/egusphere-egu26-3722, 2026.

EGU26-5533 | ECS | Posters on site | SSS6.4

Quantifying Invisible Losses: Greenhouse Gas Budgets from Three Timber Harvesting Systems and Nine-Year Recovery of Compacted Skid Trails 

Armin Malli, Maximilian Behringer, Karl Gartner, Klaus Katzensteiner, Matthias Schlögl, and Barbara Kitzer

Background: Forest soils in Austria's Flysch zone are highly productive but susceptible to compaction from mechanized timber harvesting. Soil compaction alters soil structure, porosity, aeration, and greenhouse gas (GHG) dynamics.

Objectives: This study compared the effects of different timber harvesting systems on soil GHG fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) and quantified recovery following soil disturbance.

Methods: At the Steinplattl experimental site (Klausen-Leopoldsdorf, Austria), we performed a controlled before-after study in a thinned beech stand using three harvesting systems: tracked harvester and forwarder (H+), non-tracked harvester and forwarder with tracks on uphill axles only (H-), and manual felling with cable yarding (MC). From 2022-2024, we measured soil GHG fluxes tri-weekly in treatment plots (H+, H-, MC) and uncompacted control plots (C) using closed-chamber technique. Random forest models trained on environmental predictors (soil temperature, moisture, precipitation) were used to generate daily soil GHG flux predictions for calculating GHG budgets per hectare for each treatment over 435 days post-harvest (March 10, 2023 to June 17, 2024).  Additionally, we assessed long-term recovery using 24-hour soil GHG monitoring (six chambers per treatment, 5-minute measurement cycles) at skid trails from non-tracked operations (H16) in a 2016 thinning and adjacent uncompacted forest soil (C16).

Results: Ground-based harvesting substantially altered all three soil GHG fluxes, while cable yarding effects varied by GHG. Cumulative N2O budgets in ground-based systems (H+ and H-) were more than 3-fold higher than controls, with peak emissions comparable to fertilized cropland. MC showed intermediate N2O fluxes with emission peaks occurring primarily after rainfall events. Soil CH4 uptake was severely reduced in all treatments, with H+, H-, and MC showing 94%, 89%, and 51% reductions compared to C, respectively. CO2-equivalent budgets revealed that H+ generated the highest climate impact (~77 t CO2-eq ha-1), 32% above controls, though high spatial variability precluded statistical significance. Long-term monitoring revealed that 9 years after trafficking, H16 skid trails showed persistent GHG alterations compared to C16. N2O emissions remained elevated with episodic hot moments after rainfall, CH4 uptake remained reduced under dry conditions but approached zero during wet periods, and CO2 emissions remained elevated.

Conclusions: Compared to H-, H+ systems mitigate soil physical impacts but generate elevated GHG emissions. MC minimizes disturbance but exhibits high N2O emission potential after rainfall. Effects on soil GHG dynamics were most pronounced for H+ and H- during the first post-harvest year.  However, even after 9 years, skid trails did not recover to pre-disturbance conditions but rather stabilized in an altered state, characterized by a persistent vegetation shift from beech understory to graminoid-dominated communities and thicker litter layers accumulating in wheel track ruts. These changes resulted in elevated CO2 emissions in H16, while CH4 uptake rates remained reduced and episodic N2O hot moments continued during periods of high soil moisture and temperature. Our results emphasize the importance of permanent skid trail networks and site-adapted technology selection for sustainable forest management on compaction-susceptible soils.

How to cite: Malli, A., Behringer, M., Gartner, K., Katzensteiner, K., Schlögl, M., and Kitzer, B.: Quantifying Invisible Losses: Greenhouse Gas Budgets from Three Timber Harvesting Systems and Nine-Year Recovery of Compacted Skid Trails, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5533, https://doi.org/10.5194/egusphere-egu26-5533, 2026.

The monitoring and understanding of the movement of water through soil has broad applications not limited to irrigation and food security, flood risk, landslide rick assessment and wildfire risk management and many other applications relating to water resources.
The Richards Equation has become one of the most common ways to describe and quantify the transient movement of water in unsaturated porous media. The unsaturated hydraulic conductivity is important for both physical based models such as HYDRUS and for machine learning statistical based models to predicting soil moisture.  Hydraulic conductivity is determined from a water retention curve which is a plot of soil moisture verses unsaturated hydraulic head.  The numerical solution for the unsaturated hydraulic conductivity from the water retention curve is the van Genuchten equation. The water retention curve, however, is often difficult to obtain in the laboratory and difficult to apply to soil moisture data in the field. Development of the soil water retention curve while continuous logging soil moisture on the individual soil samples could reduce error, speed up the analyses time, and can be applied directly to soil moisture data collected with permanently installed soil sensors in the field   

 A fixture has been developed to hold a soil sensor in a soil sample during the laboratory development of a soil water retention curve. This fixture consists of a soil core sample in a metal ring with a volume of 400 cc, an SDI-12 HydraProbe soil sensor, and a mesh on the bottom holding the soil sample in place while allowing the exchange of water in and out of the sample.  The fixture was placed on ceramic plates and equilibrated to pressures from 0 to 1500 kPa while collecting data every minute. A special bulkhead was developed to get sensor communication out of the pressures plate extractor. Data on a smaller soil sample 21 cc in volume were collected alongside the lager soil sample for comparison. Gravimetric data was collected on all samples at the end of each cycle. Because it takes longer for a larger 400 cc soil sample to de-water, equilibrium was approximated using an exponent regression.   

Six soil samples 400 cc and twelve 21 cc soil sample were analyzed. The soil was an alpine soil   from the Siera Nevada Mountain range in Southern California representing three depths of 10, 50 and 100 cm. The 10 cm depth was highly organic while the 50 and 100 cm depths were mostly sand.   

The van Genuchten parameters, alpha, n, saturation and water residual were determined and comparisons were made between the larger 400 cc samples with the soil sensors and the smaller 21 cc soil samples. The site-specific soil moisture calibrations for the HydraProbe soil sensor had   R2 values from 0.98 to 0.9985 with RMSE values from 0.002 to 0.015 wfv.  

How to cite: Bellingham, K.: Soil Water Retention Curve Development with Continues  Time Series Soil Moisture Data  , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5875, https://doi.org/10.5194/egusphere-egu26-5875, 2026.

EGU26-7232 | ECS | Orals | SSS6.4

Understanding root biomechanics in high-strength environments- assessing the feasibility of penetration and fracture FE models with SRXCT. 

Conor Wright, Emily Ramsdale, Daniel McKay Fletcher, Katherine Williams, James Le Houx, and Siul Ruiz

Trends in mechanised agriculture and drought events are leading to soil compaction, a form of degradation that increases soil’s mechanical strength, resulting in deleterious effects on a soil’s ability to provide critical ecosystem services. Despite this, plant roots have been shown to grow in mediums with high mechanical constraints. Hence, understanding roots’ underpinning biomechanical growth processes and limitations could inform on how best to harness roots for regenerating degraded soils and restoring desirable soil structure. We initially assessed this with two modelling frameworks and use limited X-Ray CT data to infer root pressures via Digital Volume Correlation. Our first model simulated direct root tip penetration into surrogate (solid gypsum) and natural soils, modelled as elastoplastic von Mises materials. We included geometric non-linearity through finite strain theory. Simulations used hydromechanical properties of unsaturated soils from literature to better estimate field conditions and compare these trends with surrogate soil material properties. We quantified ease of penetration via average pressure on the root tip face, thus estimating the soil moisture content that acts as a limit for root penetration. Subsequently, we explored the utility of roots using crack propagation to overcome pressure limits under dry and brittle conditions. We varied exerted root pressure and by altering boundary conditions, we modelled root growth in both experimental and field scales.  Results showed that roots can overcome their direct penetration limits via crack propagation. However, coupling experimental and model results suggest roots invoke a combination of local softening through exudation and successive crack propagation to extend in mechanically harsh mediums.

How to cite: Wright, C., Ramsdale, E., McKay Fletcher, D., Williams, K., Le Houx, J., and Ruiz, S.: Understanding root biomechanics in high-strength environments- assessing the feasibility of penetration and fracture FE models with SRXCT., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7232, https://doi.org/10.5194/egusphere-egu26-7232, 2026.

EGU26-9751 | ECS | Posters on site | SSS6.4

Do agricultural management operations and seasonal dynamics in soil structure affect soil hydraulic properties? 

Mathilde Nielsen, Frederic Leuther, Florian Ebertseder, and Efstathios Diamantopoulos

In agroecosystems, various factors, from soil management to bioturbation, affect the structure of soils throughout the season. It has been hypothesised that soil structure mainly affects the water retention curve (WRC) and the hydraulic conductivity curve (HCC) close to saturation. Still, the existing experimental data on the magnitude of changes, the potential range affected by soil structures, and their seasonal dynamics are limited.

In this study, we collected undisturbed soil cores at six different times over two growth seasons (mid-season, post-harvest, and after seedbed preparation) from the topsoil (5–10 cm depth) and the subsoil (35-40 cm depth) in a 30-year-long-term field trial run by the Bayerische Landesanstalt für Landwirtschaft. The field trial aims to study the long-term effects of various tillage systems on yield and soil properties. We sampled plots managed with conventional ploughing and direct seeding, all of which had the same loamy soil texture and crop rotation. To quantify the soil hydraulic properties from saturation to oven dryness, four laboratory methods were employed for the same soil core: the Falling Head method, the Multistep Flux method, the evaporation method and the dewpoint method.

Under conventional ploughing, we found a decrease in total porosity of 5 vol.-% after harvest, which was recovered after seedbed preparation and did not change throughout the growing season.  In addition, the WRC changed the shape of the curves after tillage, indicating soil settlement and significant changes in the soils pore size distribution. In contrast, we found that the WRC of the direct seeding maintain the shape but were scaled with seasonal changes in total porosity. For both treatments, seasonal changes in WRC were observed  from saturation up to pF 3, and greatest changes were observed after harvest and after tillage/seedbed preparation. For the HCC, we observed a highly bimodal behaviour and seasonal dynamics near-saturation (0-1.5 pF) indicating the effect of tillage voids and biopores on near-saturation conductivity.

We conclude that agricultural management operations and seasonal dynamics in soil structure controls the wet range of HCC and the WRC from saturation up to pF3. Overall, this study presents experimental evidence on the effect of soil structure on SHP and its potential effect on soil water dynamics.

How to cite: Nielsen, M., Leuther, F., Ebertseder, F., and Diamantopoulos, E.: Do agricultural management operations and seasonal dynamics in soil structure affect soil hydraulic properties?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9751, https://doi.org/10.5194/egusphere-egu26-9751, 2026.

Soil structure plays a crucial role in mediating several soil physical and biological processes that underpin important ecosystem services. Soil structure metrics are typically inferred either empirically and/or based on bulk scale soil hydraulic or mechanical properties. Such large-scale measurements obscure fundamental pore-scale processes that govern soil aggregation and the evolution of soil structure based on hydrodynamic cycles. This study develops a mathematical model that describes the evolution of a liquid meniscus between two solid soil particles and the resulting forces that cause the particles to displace. The liquid meniscus was simulated using a multiphase two fluid model considering gas (air and water vapor) and liquid (water), evolving under a series of variably imposed wetting and drying cycles. The meniscus curvature was then used to estimate the tensile and expansive forces driving particle movement, as well as an effective soil elastic modulus. We consider both block and spherical-shaped solid soil particles, identifying differences resulting from their geometry. Our results identify the magnitude of forces associated with shrink-swell processes that influence soil structure over several drying and wetting cycles. Importantly, shrinking and swelling only occurred for the block shaped particles, while changes in effective soil elastic modulus for varying moisture conditions was only present between spherical particles. Effective soil elastic modulus provides information associated with aggregate stability, and thus these results may point to moisture conditions that can enhance soil carbon sequestration and generally lead to healthier soil.

How to cite: Ruiz, S., McKay Fletcher, D., Walkder, N., and Roose, T.: Shape Matters -  Comparison of Block- and Spherical-Shaped Soil Particle-Meniscus Dynamics Under Wetting and Drying Conditions and their Effect on Soil Mechanical Properties, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10173, https://doi.org/10.5194/egusphere-egu26-10173, 2026.

EGU26-10860 | Posters on site | SSS6.4

How much area of a field is compacted? An approach for estimate the headland zones at regional scale 

Michael Kuhwald and Katja Augustin

Soil compaction is a severe soil degradation process that affects important soil functions. Understanding how much area is already compacted is important for grasping the scale of this issue.

In intensive, highly mechanised agriculture, a field is typically divided into a core field and a headland according to traffic intensity. However, studies that provide data on the area affected by compaction often only analyse the core field, ignoring the headlands. However, the headlands exhibit the highest intensity of field traffic (wheel load and wheel pass frequency), which is associated with a high risk of soil compaction.

This study focuses on deriving compacted headlands area using field geometry and working width at regional scale. Germany, a nation of modern agriculture, served as the study area. Firstly, field boundaries and working widths (tramlines) were digitised across Germany in QGIS. To take regional variations into account, 11 soil regions were selected, with two 3x3 km squares in each region serving as the digitisation boundary. In a second step, Python scripts were coded to calculate the position and size of the headlands as well as the different traffic intensity zones within the headland. According to Ward et al. 2020, headlands can be differentiated into three zones: (i) the turning zone, (ii) the transition zone, and (iii) the field edge. The turning zone exhibits the highest compaction risk.

The results show that, on average, 19.9% of a field is occupied by the headland. Depending on the size and geometry of the field, this area share can vary significantly, ranging from 3.5% to 100%. On average, the turning zone accounts for 9.8% of the total field area. The transition zone and the field edge account for 4.7% and 5.5%, respectively.

This study reveals that headlands occupy a significant proportion of agricultural land in Germany. Due to high traffic intensity, headlands are prone to soil compaction. Therefore, the headland area should be considered in the spatial assessment of soil compaction. As traffic intensity varies within the headland, the 'turning zone' is a realistic area in which severe soil compaction can be assumed. This part of the field should therefore be included in the spatial estimation of areas already affected by compaction, thereby increasing the percentage of compacted soils assumed in previous studies that excluded headlands.

How to cite: Kuhwald, M. and Augustin, K.: How much area of a field is compacted? An approach for estimate the headland zones at regional scale, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10860, https://doi.org/10.5194/egusphere-egu26-10860, 2026.

EGU26-10929 | ECS | Posters on site | SSS6.4

Impact of autonomous robotic weeding on soil physical properties across a soil texture gradient 

Lina Rohlmann, Stephan Peth, and Kathrin Grahmann

The market for autonomous agricultural robots is rapidly developing, with models differing in size, weight, and field applications. Operations range from tilling and seeding to pest and weed control and harvesting. In the transition from simplified to more diversified cropping systems, agricultural robots could support the implementation of labour-intensive, spatially diversified cropping systems by operating autonomously in the field. They may also enhance soil health by replacing herbicide applications with mechanical weed control. However, there are very few studies that quantify the effects of (lightweight) agricultural robots performing mechanical weed control on soil physical properties and overall soil health.

In this study, we aim to assess the impact of mechanical weed control conducted by the autonomous field robot FarmDroid FD20 (FARMDROID APS, Denmark), a solar-powered robot with a working width of 3.5 m and a weight of approximately 1250 kg, on soil physical parameters. It can conduct seeding and subsequently, inter- as well as intra-row harrowing and hoeing with different tools, like blades, cutting knives, disks and wires, equipped to the robot. The weeding depth is approximately 4 cm.

The assessed parameters include bulk density and penetration resistance across three contrasting sites in Germany, sampled at two time points in 2025: before tillage in spring and after several weeding interventions in summer.

The sites span approximately 545 – 830 mm of annual precipitation and differ strongly in soil texture, ranging from sand in eastern Germany to loess-derived silt in central Germany to clay-rich soils in southeast Germany. In block designs with three to four replications, either cultivated with maize (Zea mays) or sugar beet (Beta vulgaris), we assessed the absence of mechanical weed control (herbicide application) compared to mechanical weeding with the FD20. In one of the experiments, two intensity levels of mechanical weeding were also included.

We determined bulk density in trafficked and non-trafficked areas by collecting a total of 570 soil cores (100 cm³) at three depth intervals: 2 – 7, 11 – 16, and 20 – 25 cm. Dried bulk density samples were sieved and corrected for stone content. Moreover, penetration resistance was measured in a transect in the topsoil using a penetrometer (Penetrologger, Royal Eijkelkamp, The Netherlands).

Preliminary bulk density results indicate that robotic weed control and its traffic mainly affected the upper 0 – 7 cm, while effects diminish at greater depths. The analysis of penetration resistance data is still ongoing and will complement the assessment of soil physical responses to robotic weed control.

How to cite: Rohlmann, L., Peth, S., and Grahmann, K.: Impact of autonomous robotic weeding on soil physical properties across a soil texture gradient, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10929, https://doi.org/10.5194/egusphere-egu26-10929, 2026.

EGU26-11228 | ECS | Posters on site | SSS6.4

Soil structure turnover driven by soil fauna revealed by particle-pore relationships 

Melina Khosravi, Joana Haworth, Marco Adami, Klaus Kaiser, Robert Mikutta, Steffen Schlüter, and Frederic Leuther

The activity of macro- and mesofauna is a key driver for soil structure turnover, thus affecting various soil functions such as soil carbon storage and nutrient cycling. However, there are still few quantitative studies on the rates and efficiency of soil structure turnover induced by different soil fauna groups. In mesocosm experiments, we examined how earthworms (Eisenia fetida, Lumbricus terrestris, Aporrectodea caliginosa), enchytraeids (Enchytraeus albidus), and ants (Lasius niger) alter the spatial arrangement of minerals, particulate organic matter (POM), and pores by using X-ray μCT imaging. Soil structure turnover was quantified by structure labelling and tracking the randomisation of garnet particles. The ratio between particle-pore distance and soil matrix-pore distance was used as an indicator for soil structure turnover¹, and the POM-pore distance as an indicator for organic matter incorporation. Faunal species were placed in cylindrical mesocosms and incubated for 22-24 days. Subsamples were then analysed to quantify the spatial relationships among POM, garnet particles, pore space, and the soil matrix. The predominantly anecic species Lumbricus terrestris mainly elevated POM incorporation into the soil matrix but contributed less to soil structure turnover because of limited burrowing activity. In contrast, the endogeic species Aporrectodea caliginosa promoted structure turnover but with limited POM incorporation because of greater, but predominantly horizontal burrowing activity. Structural impacts of the epigeic species Eisenia fetida were insignificant and largely restricted to surface cast formation. The much smaller enchytraeid worm, Enchytraeus albidus, caused only minor changes in particle-pore relationships, with no new pore formation, and its activity was mainly limited to the soil surface. Preliminary results from experiments with Lasius niger suggest that nest and burrow formation occurred, but there was limited particle transport and no evidence of cast formation. We found that soil structure turnover at the pore scale followed species-specific patterns: Earthworms re-shaped the soil structure, and thus, the particle-pore relationships, ants mainly modified the existing pore architecture, while enchytraeids had only minor effects as they mainly inhabited the existing pore space and soil surface. Overall, our study demonstrated that particle-pore relationships provide a robust way to assess how groups of soil fauna drive soil structure turnover and influence carbon availability.

1 Schlüter, Steffen; Vogel, Hans-Jörg (2016): Analysis of Soil Structure Turnover with Garnet Particles and X-Ray Microtomography. PLoS One 11 (7), e0159948. DOI: 10.1371/journal.pone.0159948.

How to cite: Khosravi, M., Haworth, J., Adami, M., Kaiser, K., Mikutta, R., Schlüter, S., and Leuther, F.: Soil structure turnover driven by soil fauna revealed by particle-pore relationships, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11228, https://doi.org/10.5194/egusphere-egu26-11228, 2026.

EGU26-11508 | ECS | Posters on site | SSS6.4

Influence of Drip Irrigation and Soil Compaction on Soil Water and Salt Transport in Saline-Alkali Farmland of the Yellow River Delta 

Haixia Wang, Ying Zhao, Xiaodong Zhan, and Wenyuan Fu

The Yellow River Delta region suffers from pronounced soil salinization, attributed to its shallow groundwater depth and an evaporation rate that exceeds precipitation. Flood irrigation, widely adopted locally as the primary means of salt leaching, further aggravates pressure on the already limited freshwater resources. This study investigates the effects of combined drip irrigation and soil compaction on soil water and salt movement in saline-alkali farmland of the region, aiming to propose a new approach for regional water conservation and salt control. Field experiments and model simulations were integrated in this research. Based on experimental data collected from cotton fields over two consecutive years, the Hydrus-2D model parameters were calibrated and validated. Several scenarios were then simulated, including conventional irrigation, conventional irrigation with soil compaction, and drip irrigation with soil compaction, to analyze soil water and salt dynamics under different conditions. The results show that drip irrigation delivers water precisely to the plant root zone through small, frequent applications, reducing evaporation and deep percolation losses. Soil compaction effectively increases post-irrigation soil volumetric water content and, within a reasonable “compaction threshold,” significantly inhibits upward salt movement. The combined use of drip irrigation and soil compaction reduces both the water required for pre-sowing salt leaching in the root zone and the irrigation demand during the crop growth period, thereby markedly improving water use efficiency. This study provides a novel strategy for regulating soil water and salt in saline-alkali farmland, which can help alleviate agricultural water scarcity in the Yellow River Delta region.

How to cite: Wang, H., Zhao, Y., Zhan, X., and Fu, W.: Influence of Drip Irrigation and Soil Compaction on Soil Water and Salt Transport in Saline-Alkali Farmland of the Yellow River Delta, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11508, https://doi.org/10.5194/egusphere-egu26-11508, 2026.

EGU26-11550 | ECS | Posters on site | SSS6.4

A Novel Multi-Factor Interpretation of Visual Evaluation of Soil Structure in Forest Soils 

Niklas Schmücker, Madlene Nussbaum, Alice Johannes, Claudia Guidi, and Peter Lehmann

Visual evaluation of soil samples is a powerful and efficient method to assess quality and stability of soil aggregation. For cropland and pasture (open land), it was shown that a good score assigned to the visual evaluation is correlated to low bulk density (no compaction) and high ratio of soil organic carbon (SOC) to clay content (a measure for the stabilization of organic carbon. However, in forest soils, aggregate formation conditions are different due to lower mechanical disturbance, higher biological activity, higher organic input of different quality, enhanced weathering, and the absence of liming. Under these conditions, we expect the link between visual score, bulk density, and SOC-clay ratio to be less consistent, which challenges the applicability of the visual evaluation method for forest soils.

To quantify and interpret the visual evaluation method for forest soils, 27 forest sites in Switzerland were sampled across a wide range of texture, organic carbon, and acidity levels. Various soil structure-related properties were measured directly in the field (score of visual evaluation) and in the lab (macropore geometry and soil hydraulic properties). No general relationship between visual scores and basic soil health parameters (porosity, SOC-clay ratio, saturated hydraulic conductivity) was found, which illustrates the fundamental difference between forest and open land soils. In a next step, the parameter space defined by basic soil properties (texture, SOC, and pH) was subdivided into subregions using cluster analysis. Initial results indicate that VESS and basic soil health parameters correlated but varied across pH- and clay-defined subregions. Interpretation of VESS therefore requires consideration of basic soil properties, yet in combination the method provides a promising field-based assessment of soil structural health.

How to cite: Schmücker, N., Nussbaum, M., Johannes, A., Guidi, C., and Lehmann, P.: A Novel Multi-Factor Interpretation of Visual Evaluation of Soil Structure in Forest Soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11550, https://doi.org/10.5194/egusphere-egu26-11550, 2026.

EGU26-12942 | Posters on site | SSS6.4

Development of soil mechanical stability during initial soil formation – from field to rhizosphere scale 

Stephan Peth, Ulla Rosskopf, and Daniel Uteau

Pre-consolidation stress is a measure of mechanical stability on the bulk soil scale while aggregate stability and penetration resistance measurements can be used to assess soil strength at the micro/root scale. Starting from initial soil deposition soil stability is expected to develop over time by processes like consolidation, shrinking-swelling, root reinforcement or exudation of mucilage by roots. We studied the development of soil stability over a cropping period from 2019-2024 in Bad Lauchstädt (Germany) where excavated plots were refilled with homogenized loam and sand and planted with two contrasting maize (Zea mays, L.) genotypes. On the field scale loam plots showed a distinct increase of pre-consolidation stress for the first three years while sand plots did not display any temporal pattern (Rosskopf et al. 2022a). In a second laboratory study employing the same homogenised substrates we investigated the combined effect of mucilage concentration and soil water content on penetration resistance PR (Rosskopf et al. 2022b). A stainless-steel cone resembling the maize root geometry was mounted on a high-precision material testing device and pushed through the remoulded soil samples to simulate root growth. Loam and sand were mixed with chia (Salvia hispanica, L.) seed mucilage at various concentrations and samples were adjusted to a range of water contents. Higher mucilage concentrations significantly lowered PR in the driest loam, thus reducing the energy cost of plant root growth whereas in moister conditions it had the opposite effect. In a third study we investigated the direct effect of root growth on local soil deformation in the rhizosphere using X-ray mCT measurements and digital image correlation (Rosskopf et al. 2025). We could show that the extent of the deformation zone depended on soil texture and genotype. Our results provide valuable information on soil stabilisation processes during initial soil formation and highlight the complex interaction of physical and biological stabilisation mechanisms on various scales.

Acknowledgments

This work was conducted within the framework of the Priority Program 2089, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 403627636.

References

Rosskopf, U., Uteau, D. & Peth, S. 2022a. Development of mechanical soil stability in an initial homogeneous loam and sand planted with two maize (Zea mays L.) genotypes with contrasting root hair attributes under in-situ field conditions. Plant and Soil, 478, 143–162.

Rosskopf, U., Uteau, D. & Peth, S. 2022b. Effects of mucilage concentration at different water contents on mechanical stability and elasticity in a loamy and a sandy soil. European Journal of Soil Science, 73, e13189.

Rosskopf, U., Uteau, D. & Peth, S. 2025. Deformation patterns around growing roots using X-ray CT and digital volume correlation. Geoderma, 464, 117613.

How to cite: Peth, S., Rosskopf, U., and Uteau, D.: Development of soil mechanical stability during initial soil formation – from field to rhizosphere scale, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12942, https://doi.org/10.5194/egusphere-egu26-12942, 2026.

EGU26-14163 | ECS | Posters on site | SSS6.4

Changes in soil-plant-water relationships and crop yield under conservation agricultural practices 

Mosisa Tujuba Wakjira, Renske Hijbeek, Joost van Heerwaarden, Johan Six, and Katrien Descheemaeker

Conservation agriculture is a farming system based on three main principles: reduced soil disturbance, permanent organic cover, and crop rotation. It is widely promoted as a sustainable solution to reduce soil degradation, restore and maintain soil health, enhance climate resilience in crop production, and mitigate greenhouse gas emissions. However, its universal applicability across diverse biophysical and socioeconomic contexts remains highly debated due to inconsistent agronomic performance. Using a global meta-analysis, we evaluated the effect of conservation practices under different climate and soil conditions on soil properties that regulate soil-water movement, storage, accessibility to crops, soil aeration, and crop yield. Performances of five conservation agricultural practices, namely no-till without residue (NT), reduced tillage without residue (RT), no-till with residue (NT+RR), reduced tillage with residue (RT+RR), and conventional tillage with residue retention (CT+RR), were compared with conventional tillage without residue (CT) based on observations from 328 studies across 361 experimental sites.

Mean yield responses to conservation practices ranged from a reduction of 6.3% (p=0.02) for NT to no significant yield effects (+3.4%; p=0.29) under CT+RR as compared to CT. Increasing tillage intensity (from NT to CT) and residue retention were associated with higher crop yields (p=0.046). Yield outcomes varied with climatic and soil conditions. In semi-dry climates (aridity index: 0.3-0.65) NT increased yields by 16.3% (p=0.004), likely related to changes in infiltration (+24%, p=0.12), although the mean change was not significant for the latter. In contrast, NT reduced yields in humid climates (-7.2%, p<0.001) and in dry regions, where irrigated agriculture was expected to dominate (8.9%, p=0.031). The largest yield reductions occurred in clayey soils (NT -22.2%, p=0.07 and RT -25.8%, p = 0.004), whereas the smallest reductions and occasional gains were observed in sandy soils, which also aligns with a significant trend in infiltration responses (p=0.007), ranging from a mean reduction of 26% (p=0.15) in clayey to a mean increase of 21% (p=0.16) in sandy soils.

Sensitivity analysis revealed that crop yield under NT is strongly influenced by bulk density, possibly due to its cascading effects on soil hydraulic and mechanical properties that regulate water availability, air circulation, root growth, and thus crop-water and nutrient uptake. Although bulk density increased only non-significantly by 5.4% under NT, this was accompanied by 40% (p<0.001) increase in penetration resistance, 18.6% (p<0.001) reduction in air-filled porosity, and overall increase in plant-unavailable water capacity (wilting point). We conclude that while NT and RT can enhance infiltration and soil moisture, crops benefit minimally from these improvements due to a simultaneous soil compaction that 1) hinders root penetration, 2) decreases available water, and 3) limits soil aeration.     

How to cite: Wakjira, M. T., Hijbeek, R., van Heerwaarden, J., Six, J., and Descheemaeker, K.: Changes in soil-plant-water relationships and crop yield under conservation agricultural practices, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14163, https://doi.org/10.5194/egusphere-egu26-14163, 2026.

Coastal saline agriculture in the Yellow River Delta (YRD, China) is constrained by salt accumulation driven by shallow groundwater–evaporation coupling and by mechanical limitations imposed by soil compaction. Because soil strength and pore connectivity control root penetration, aeration and preferential flow, root–soil–water interactions in the YRD are inherently hydro-mechanical. We ask how depth-dependent compaction reorganizes water–salt dynamics and root system architecture.

We integrate multi-season field experiments, controlled “transparent-soil” microcosms, and coupled modelling. In the field, three compaction levels (non-, light- and heavy-compacted) are crossed with contrasting tillage (mouldboard ploughing, rotary tillage and no-till) and crop types (soybean/maize rotation and winter wheat). Soil water content, electrical conductivity, temperature and matric potential are monitored at multiple depths. Soil mechanical state (penetration resistance and bulk density) and key hydraulic functions (water retention) are measured on undisturbed samples, while root traits are quantified by excavation and image analysis. Microcosms tune substrate stiffness via hydrogel crosslink density to isolate mechanical impedance effects; the datasets are interpreted using flow–transport simulations linking root uptake, water flow and salt movement.

Preliminary results show that heavy compaction can increase short-term near-surface water storage after rainfall but restricts rooting to the upper 0–10 cm, decreases aeration and intensifies salinity stress, causing marked biomass and yield losses. In contrast, moderate compaction combined with conservation practices reshapes preferential flow and capillary return, moderating salt accumulation while maintaining root penetration. Microcosms reveal a mechanical “optimal window” where roots maximize elongation and branching; both insufficient strength (unstable pore network, hypoxia) and excessive strength (high impedance) suppress root exploration.

Overall, we identify a feedback loop in which soil strength controls rooting depth and biopore formation, which in turn reorganizes pore connectivity and preferential flow, ultimately governing salt leaching and capillary re-salinization. The framework supports targeted mechanical management (hardpan alleviation, controlled traffic and structured surface–subsurface layering) for resilient saline agriculture in the YRD.

How to cite: Zhao, Y.: Root-soil-water interaction process and its mechanism in saline agriculture in the Yellow River Delta, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15059, https://doi.org/10.5194/egusphere-egu26-15059, 2026.

EGU26-18263 | Orals | SSS6.4

How surface tension in two-phase flow leads to anisotropic effective stress, and affects soil erodability and slope stability  

Renaud Toussaint, Rashad Abbasov, Marwan Fahs, Eirik G. Flekkøy, and Knut Jørgen Måløy

Effective stress in partly saturated porous media is a crucial question to understand the mechanical stability and the erodability of soils. In general, two-phase flow in unconsolidated granular media is a common process. It takes place during rain infiltration in soils, in sandcastles, and numerous situations in the critical zone.
The mechanical stability of slopes and materials is expressed by considering stability envelope of the stress tensor supported by the solid material.  In one phase flow, this leads to criterias on Terzaghi stress, or effective stress when the contacts between solid elements are not reduced to points.
In two-phase flow, the stress carried by solids is usually expressed using an effective average fluid pressure in the effective stress formulation, following Bishop. We show that this approach does not take the explicit stress carried by the two-dimensional interface between the two fluids into account: the explicit effect of surface tension is missing. This term is called Bachelor stress in the framework of foam mechanics, but is usually not incorporated in two-phase flow in porous media formulation
We evaluate the importance of this effect from a micromechanical perspective, and show how to incorporate it in a generalized large scale effective stress formulation. We show how this formulation can take into account an anisotropic tensor reflecting the stress carried by the fluids and the fluid/fluid interfaces, depending on the anisotropy of the fabrics of these interfaces.
We bridge the gap between microscopic interactions and macroscopic behavior, offering a robust model for evaluating and predicting forces in multi-phase systems. Numerical simulations comparing the standard model with the new framework demonstrate that incorporating surface tension significantly refines slope stability predictions, especially during intense rainfall events.

How to cite: Toussaint, R., Abbasov, R., Fahs, M., Flekkøy, E. G., and Måløy, K. J.: How surface tension in two-phase flow leads to anisotropic effective stress, and affects soil erodability and slope stability , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18263, https://doi.org/10.5194/egusphere-egu26-18263, 2026.

Vegetation restoration can improve soil structural stability and erosion resistance, However, the effects of forest composition on the rheology-based stability of soil microstructure and its relationship with erosion are still unclear. Therefore, this study investigated typical plantation soils on the Loess Plateau to explore differences in soil rheological properties and their stratification under different afforestation models. Our results show that: (1) Afforestation significantly altered soil physicochemical properties. Mixed forests of Robinia pseudoacacia (RP) and Platycladus orientalis (PO) (1:1) notably enhanced the accumulation of organic carbon in the surface layer (0–20 cm). (2) PO plantations promoted the retention of water-stable macro-aggregates (> 0.25 mm). Despite mechanical and water-induced disruption, these soils maintained a higher proportion of macro-aggregates, with significantly greater mean weight diameter and lower aggregate disruption rates (p < 0.05). (3) With increasing strain, soil structure progressively approached its shear strength limit until failure occurred. Mixed forest soils exhibited both a wider linear viscoelastic region (γLVR) and higher integral Z (Iz), suggesting an elastic and tough structure. In contrast, PO soils showed the highest γLVR but the lowest Iz, indicating structural rigidity with weak internal cohesion. (4) Modeled soil erodibility (K) was lowest in mixed forests and highest in PO soils. In fine-textured, low-organic-matter soils, high mean weight diameter may accompany high rigidity and brittleness, resulting in poor erosion resistance. Overall, high aggregate stability does not invariably indicate strong erosion resistance. Through rheological analysis can identify healthy soil structures that combine strength and resilience. This study elucidates the intrinsic relationships among soil rheological properties, aggregate stability, and soil erodibility, providing new insights into the soil conservation functions of forests from a mechanical perspective.

How to cite: Zhou, L., Hu, F., and Peth, S.: The influence of tree species composition on soil microstructure stability and its relation with erosion resistance, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18663, https://doi.org/10.5194/egusphere-egu26-18663, 2026.

EGU26-19675 | ECS | Posters on site | SSS6.4

Field-scale Assessments of Subsoil Compaction and Soil Structural Functions in Lower Saxony, Germany 

Xinjun Huang, Axel Don, Christopher Poeplau, Rainer Horn, and Stephan Peth

Subsoil compaction a one of the major threats for crop production and soil ecological functioning in Europe. To quantify its field-scale extent, field investigations were conducted on 26 agricultural fields across Lower Saxony state in northern Germany, covering four dominant soil textures (clay loam, sandy loam, silt, and silty loam) and two field management zones (machinery turning area and main field area). In-situ measurements of penetration resistance and shear strength were conducted on field at 10 cm (topsoil) and 40 cm (subsoil), and bulk density (ρb), saturated hydraulic conductivity (Ks), air permeability (Ka) were measured on undisturbed soil samples at the same depth. The results showed that most machinery turning zones showed clear signs of subsoil compaction. About 80% fields showed 5~60% higher penetration resistance and shear resistance in machinery turning area. For sandy loam soil in the east and north part of Lower Saxony, penetration resistance frequently exceeded 3 MPa, reaching >5 MPa at 40 cm, which is above root limiting thresholds. Compared to main field zone, bulk density in machinery turning area increased by 2-5%, with silty loam field exhibiting the largest increase of bulk density. Additionally, soil pore functions of Ka and Ks in machinery turning area exhibited obvious decline compared to field area especially in the subsoil of silty loam and sandy loam fields. For both machinery turning area and field area, a significant correlation was found between hydraulic conductivity and soil bulk density (R2=0.21, p=0.023) in topsoil with ρb from 1.25~1.60 g cm-3, while in subsoil with ρb from 1.45~1.65 g cm-3 no such correlation was found, indicating the pore functions in subsoil mainly depends on connective pores during the structure formation process. These results demonstrate that traffic-induced subsoil compaction is widely altering soil physical structure and pore functions in Lower Saxony, and the texture-dependent responses highlight the need for specific compaction mitigation strategies during the future field managements.

How to cite: Huang, X., Don, A., Poeplau, C., Horn, R., and Peth, S.: Field-scale Assessments of Subsoil Compaction and Soil Structural Functions in Lower Saxony, Germany, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19675, https://doi.org/10.5194/egusphere-egu26-19675, 2026.

Skid trails in forests experience repeated traffic by heavy machinery, leading to pronounced soil compaction. Wheeling is often visible at the soil surface in the form of deep ruts and lateral soil displacement. These structural changes are not restricted to the topsoil but also affect soil water dynamics down to the subsoil. This study aimed to quantify the effects of skid trails on soil physical properties and water dynamics compared to adjacent areas (within the lane and 50 cm outside the wheel track) and unwheeled forest soil.

Three sites in Lower Saxony, Germany, were investigated: two sites in the Solling region (beech and spruce) and one site near Braunschweig (oak). Soil samples were collected at 15, 30, 45, and 60 cm depth in each plot to determine bulk density and soil water retention characteristics using the simplified evaporation method. Simultaneously, soil moisture was monitored at the same depths, and soil water tension was measured at 30 and 60 cm depth from July 2024 to February 2026.

At the Solling sites, skid trails exhibited the highest compaction, with bulk densities reaching up to 1.62 g cm⁻³ in the topsoil and 1.75 g cm⁻³ in the subsoil. Adjacent areas showed moderate compaction (up to 1.46 g cm⁻³), whereas unwheeled soils remained comparatively loose, ranging from 1.17 g cm⁻³ at 15 cm depth to 1.62 g cm⁻³ at 60 cm depth. Macroporosity in wheeled soils was significantly reduced by up to more than one order of magnitude down to the subsoil, while mesopores were only slightly affected. This effect was less pronounced in adjacent areas.

Soil moisture monitoring at the Solling sites showed that skid trails were consistently wetter throughout the year. During winter months, waterlogging occurred, while in summer skid trails remained moist, whereas unwheeled soils experienced pronounced drying. At the Braunschweig site, differences in soil moisture were less pronounced, with only slightly higher water contents in wheeled soils.

The study highlights the strong local effects of skid trails on soil structure and water balance. Soil compaction leads to significant alterations of the pore size distribution, resulting in reduced hydraulic conductivity and increased soil moisture. These changes limit the potential for soil-friendly machine traffic, emphasizing the need for adapted forest management strategies to mitigate soil compaction in skid trails.

How to cite: Rolfes, L. and Kuhwald, M.: Soil compaction and water balance in skid trails: a three-year analysis of German forest sites , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20868, https://doi.org/10.5194/egusphere-egu26-20868, 2026.

EGU26-21202 | Posters on site | SSS6.4

Numerical assessment of soil water dynamics and penetration resistance in the presence of compacted layers 

Renato P. de Lima, Guilherme Nadalete, Everton Pinheiro, Moacir Moraes, Cassio Tormena, and Zigomar Souza

Soil compaction commonly occurs as compacted layers with reduced permeability, which can significantly affect water flow and retention throughout the soil profile, shortening drainage time and altering soil penetration resistance. The objective of this study was to investigate the impact of a compacted layer on soil water flow and penetration resistance using numerical modeling based on Richards’ equation implemented in COMSOL Multiphysics. A two-dimensional problem representing a soil profile was constructed with and without the presence of a compacted layer. The effect of compaction was examined by systematically increasing both the thickness of the compacted layer and the degree of compaction. Model parameterization was based on literature data for a clayey soil, including soil water retention curves, saturated hydraulic conductivity, and parameters describing soil penetration resistance. These parameters were used to numerically solve Richards’ equation for drainage from saturated conditions and to assess the influence of compacted layers on the temporal evolution of penetration resistance as a function of drainage time up to 10 days free drainage. The results showed that the presence of a compacted layer caused only minor changes in matric potential along the soil profile over time. The dominant factor controlling changes in penetration resistance in the simulations was the degree of compaction itself, as the lower permeability of more compacted layers promoted greater water retention in their vicinity, thereby alleviating soil penetration resistance. In conclusion, numerical simulations showed that compacted layers induced only minor changes in soil matric potential during drainage for actual compaction degree conditions. The degree of compaction was the primary factor controlling the temporal evolution of soil penetration resistance, outweighing the effect of layer thickness. Lower permeability in highly compacted layers promoted greater local water retention, which mitigated increases in penetration resistance over time. The scenario examined in this study should be extended to soils with varying textures and permeability in order to assess the broader applicability of these conclusions.

How to cite: P. de Lima, R., Nadalete, G., Pinheiro, E., Moraes, M., Tormena, C., and Souza, Z.: Numerical assessment of soil water dynamics and penetration resistance in the presence of compacted layers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21202, https://doi.org/10.5194/egusphere-egu26-21202, 2026.

EGU26-21327 | ECS | Posters on site | SSS6.4

Effects of Increased Temperature, Elevated CO2 Concentrations and Drought on Soil Structure and Gas Diffusion in a Submontane Grassland Soil 

Sabrina Osiander, Vincent Felde, Hannes Schmidt, Markus Herndl, Andreas Schaumberger, Gerhard Zacher, Andreas Richter, and Stephan Peth

Global climate change, driven by rising atmospheric CO2 concentrations, is increasing the frequency and duration of extreme weather events, such as droughts and heavy rainfalls. The implications of these changes for soil-plant interactions in managed grasslands remain poorly understood. To investigate the combined effects of increased CO2 (+300 ppm) and elevated temperature (+3 °C), along with a 2-month summer drought, we conducted a study using undisturbed topsoil and subsoil samples from a 10-year climate change experiment (ClimGrass) in a submontane grassland in Gumpenstein, Austria. We hypothesize that elevated CO2 and temperature will enhance above- and below-ground biomass, leading to increased root growth and a corresponding rise in soil porosity, particularly of the proportion of biogenic macropores, which is expected improve aeration and boost gas diffusion rates.

We analyzed potential changes in soil structure by scanning 66 undisturbed samples with a high-resolution x-ray computed tomography system (only topsoil). Additionally, we measured water retention curves and oxygen diffusion rates (single chamber method) at different matric potentials (-60,  -150,  -300 hPa) for the topsoil and subsoil, to examine how potential changes in total porosity, pore size distribution and pore connectivity affect gas exchange from the soil to the atmosphere at different moisture levels. As was expected, first results indicate that elevated CO2 led to a lower bulk density and a higher amount of macropores, which also caused gas diffusion rates to increase. The moderating effects of elevated temperatures and droughts will also be discussed.

How to cite: Osiander, S., Felde, V., Schmidt, H., Herndl, M., Schaumberger, A., Zacher, G., Richter, A., and Peth, S.: Effects of Increased Temperature, Elevated CO2 Concentrations and Drought on Soil Structure and Gas Diffusion in a Submontane Grassland Soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21327, https://doi.org/10.5194/egusphere-egu26-21327, 2026.

EGU26-21956 | Orals | SSS6.4

Soil precompression stress assessed from linear scale stress and strain 

Mathieu Lamandé, Per Schjønning, Michael Koppelgaard, and Emmanuel Arthur

The seemingly never-ending increase in the size and hence weight of agricultural machinery induces an urgent need for tools to evaluate the risk of subsoil compaction. The scientific community is fully aware of this as witnessed by a large number of papers addressing soil strength across soil textures, drainage conditions and other drivers of the carrying capacity of soils. The concept of soil precompression is appealing as it implies a threshold level of stress that soils may experience without plastic / permanent deformation. Much effort has been devoted to the quantification of soil precompression stress and to the potential of predicting it from soil properties. The classical procedure in determining the precompression stress from compression tests include a log-transformation of the stress imposed to the soil sample. Mathematically, the log transformation in itself introduces a bend in the strain-stress relation that does not relate to the material properties. For all procedures applied in estimating this bend for soil compression data, the estimated ‘threshold’ in the strain-log(stress) relation is an artefact or at least affected by the mathematical transformation of stress data. Despite this, efforts are still undertaken to analyze how the ‘precompression’ stress deriving from the classical procedure relates to soil properties. In the present study, we analyze data from confined, uniaxial compression tests applied to undisturbed soil cores. Our results show that it was possible to detect a local minimum of compressibility reflecting a true precompression stress. In addition, our study investigated the potential of estimating a local minimum in soil compressibility observed in studies that have measured strain at a limited number of stresses.

How to cite: Lamandé, M., Schjønning, P., Koppelgaard, M., and Arthur, E.: Soil precompression stress assessed from linear scale stress and strain, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21956, https://doi.org/10.5194/egusphere-egu26-21956, 2026.

EGU26-22003 | Posters on site | SSS6.4

Natural drivers of soil pore-structure recovery in compacted intact cores: a 30-month burial experiment in forest and grassland 

Emmanuel Arthur, Maliheh Fouladidorhani, Muhammad Mohsin Nawaz, Lakshyadeep Devkota, and Mathieu Lamandé

Soil structure can recover after compaction through the combined action of roots, soil fauna, microbial activity, and physical wetting-drying and freeze-thaw processes. We investigated the extent to which such natural processes restore pore architecture in compacted sandy loam soil cores buried for approximately 30 months under contrasting vegetation types. Intact sandy loam cores (20 cm height × 20 cm diameter) with an initial bulk density of 1.7 g cm-3 were extracted from compacted headlands of an agricultural field near Copenhagen, Denmark, using perforated cores that allowed root and faunal entry. The pore network was characterised at field-moist conditions prior to burial using X-ray computed tomography (CT), quantifying tortuosity, macroporosity, macropore density, and pore network skeleton and branching properties. Four replicate cores each were buried at 30 cm depth in a forest and a grassland site, both located in the same region and characterised by sandy loam soils. After 30 months, the cores were retrieved and rescanned using the same CT protocol. Changes in pore metrics were assessed relative to initial conditions to evaluate structural recovery. In parallel, microbial biomass, enzyme activity, organic matter content, pH, and other soil properties were measured at all sites to support interpretation of biological and biogeochemical drivers. The results are used to assess the capacity of natural processes to restore pore structure in compacted soils and to identify key mechanisms controlling recovery under different land use.

How to cite: Arthur, E., Fouladidorhani, M., Nawaz, M. M., Devkota, L., and Lamandé, M.: Natural drivers of soil pore-structure recovery in compacted intact cores: a 30-month burial experiment in forest and grassland, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22003, https://doi.org/10.5194/egusphere-egu26-22003, 2026.

Rainfall-induced landslides cause millions of pounds in damage to infrastructure in Great Britain (GB) annually and occasionally result in human fatalities. Despite the risks, Great Britain has few policies or guidelines to mitigate landslides, and limited research has characterised their regional incidence. Peat landslides, found mainly in the British Isles and a handful sub-Antarctic islands, have recently gained attention for their destructive impacts and the loss of valuable terrestrial carbon. Given the environmental significance of peat, we examine the current knowledge gaps regarding the mechanical conditions that trigger peat failures and compare these with those governing failures in mineral soils. We start by empirically characterizing landslide incidence in GB considering landslide events recorded in the British Geological Survey (BGS) database. Soil texture, topographic, and antecedent rainfall data were acquired for the considered landslides. Organic landslides had significantly steeper slopes and higher antecedent rainfall sums than mineral landslides and occurred most frequently in late summer and early autumn months. Landslides in loam-textured soils were an order of magnitude more frequent than in other textures, and remained the most frequent after normalisation by soil-texture area, although other groups exhibited comparable area-normalised failure rates. Using a K-means clustering analysis, landslide groups exhibiting similar slope, soil, and rainfall characteristics were identified revealing unique inter-cluster spatial and temporal patterns. Organic landslides in the database could be roughly segregated as those that failed on shallow slopes with low antecedent rainfall in summer months ‘bog flows') and those that failed on steep slopes with varying antecedent rainfall which were interpreted to largely be mineral failures with a peat veneer (‘peaty-debris flows'). The failure mechanism of the former was likely seasonal drops in peat moisture content, which facilitated rainwater infiltration through desiccation cracks raising pore pressures within the peat mass, increasing peat landslide susceptibility in late summer months. These results can be used to guide more accurate landslide risk management considering region and preconditioning factors which is pertinent for recent peatland restoration activities in GB.

How to cite: McKay Fletcher, D., Elliot, J., and Ruiz, S.: An analysis of landslides in Great Britain using soil texture, rainfall, and topography reveals contrasting failure conditions between organic and mineral soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22771, https://doi.org/10.5194/egusphere-egu26-22771, 2026.

EGU26-433 | ECS | Posters on site | SSS6.8

MIRS and XRF Data Fusion for Improving Soil Fertility Attributes Prediction 

João Lopes, Magdeline Vlasimsky, Alessandro Migliori, Gerd Dercon, Kalliopi Kanaki, Fábio Melquiades, and Avacir Andrello
The evaluation of soil samples using spectral techniques provides a sustainable approach to soil health assessment, reducing reliance on traditional, waste-producing analytical methods. Over the past few decades, spectroscopic and spectrometric techniques have gained prominence in soil analysis due to their non-destructive nature. X-ray fluorescence (XRF) and mid-infrared spectroscopy (MIRS) are particularly valuable, as they provide complementary information on the elemental and molecular composition of soils, respectively. Both have been successfully combined with machine learning algorithms to model and predict soil fertility parameters as alternatives to conventional wet chemistry. This study explores the potential of data fusion between XRF and MIRS measurements to enhance soil fertility prediction accuracy. A total of 160 soil samples were analyzed using a Panalytical Epsilon 5 EDXRF spectrometer, employing four different secondary targets, and a Bruker Alpha II Fourier-transform mid-infrared spectrometer. Three machine learning models were trained on individual and fused datasets: Partial Least Squares Regression (PLSR), Support Vector Machine (SVM), and Random Forest Regression (RF). The regression models built upon the fused data yielded increased performance for organic Carbon (OC), exchangeable Calcium (exCa), and exchangeable Potassium (exK). For OC, the RF model yielded the best performance, with the fused approach achieving a 5% reduction in RMSE and a 7% increase in RPD relative to standalone XRF. For exCa, RF was again the top-performing algorithm under fusion, providing a 25% reduction in RMSE and a 51% increase in RPD. For exK, the best results were obtained with PLS, which delivered a 16% reduction in RMSE and a 27% increase in RPD. These results demonstrate that integrating complementary spectral information from XRF and MIRS can enhance the prediction of key soil fertility attributes, offering a reliable and sustainable alternative to conventional chemical analyses. Beyond improving model accuracy, the proposed fusion framework highlights the potential of combining multi-sensor data to expand the applicability of spectral techniques for large-scale, rapid soil fertility assessment.

How to cite: Lopes, J., Vlasimsky, M., Migliori, A., Dercon, G., Kanaki, K., Melquiades, F., and Andrello, A.: MIRS and XRF Data Fusion for Improving Soil Fertility Attributes Prediction, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-433, https://doi.org/10.5194/egusphere-egu26-433, 2026.

EGU26-3480 | ECS | Posters on site | SSS6.8

Evaluating hysteresis mechanisms through pore networks simulations 

Ilan Ben-Noah, Shmulik Friedman, and Yechezkel Mualem

Hysteresis in capillary pressure and relative permeability relationships with saturation degree, is an important phenomenon essential for accurately predicting multiphase retention and flow in porous media, relevant for hydrological applications such as groundwater management and soil water dynamics. The observed hysteretic loops reflect complex, history-dependent interactions between fluids and pore structures.

We used three-dimensional (3D) pore network models to systematically investigate how media properties (pore size distribution, correlation, and connectivity) and different imbibition and drainage modes determine the combined and decoupled quasi-static mechanisms of hysteresis: geometric ink bottle effects, non-wetting fluid trapping, and network-dependent effects arising from complex pore accessibility. We decoupled these mechanisms by leveraging controlled, simulated drainage and imbibition scenarios (e.g., invasion vs random percolation, bond vs site-governed displacement, and with vs without trapping).

The different mechanisms present distinct effects on the hysteretic loops, where trapping primarily affects retention curves at high wetting saturation (Sw) and dramatically reduces wetting phase relative permeability (kWr). Ink bottle hysteresis, driven by pore geometry, is visible across the entire capillary head (hc) range. In contrast, network hysteresis significantly shapes the retention (Sw(hc)) loop and drives kr(Sw) hysteresis at low Sw.

Furthermore, the impact of these mechanisms is highly dependent on media structure. Increasing pore size distribution variability enhances non-wetting phase trapping volume while mitigating ink bottle effects. Correlation between pore bodies' and throats' radii strongly increases the impact of trapping on kWr. Conversely, increasing connectivity (i.e., higher coordination number) reduces the trapped fluid fraction, and generally mitigates ink bottle and network hysteresis effects in the two-phase retention.

These results provide necessary mechanistic understanding, supporting the inverse interpretation of measured hysteretic loops to deduce the underlying topological structure of porous media.

How to cite: Ben-Noah, I., Friedman, S., and Mualem, Y.: Evaluating hysteresis mechanisms through pore networks simulations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3480, https://doi.org/10.5194/egusphere-egu26-3480, 2026.

EGU26-3825 | ECS | Posters on site | SSS6.8

Water vapor transport in extremely dry soils – does vapor always flow from high to low temperature?    

Kassaye Gurebiyaw, Dilia Kool (RIP), and Nurit Agam

In desert soils, water vapor transport is a key mechanism driving soil moisture dynamics. This transport occurs along vapor density gradients that arise from variations in soil matric potential and temperature in the soil. In hyper-arid soils, extremely high negative matric potentials across the near surface lead to uniform matric potential gradients (∇Ψₘ). Therefore, in these soils, variations in temperature (∇T) primarily drive vapor movement by affecting vapor concentration. In cases where soil moisture is high enough so that the relative humidity in the air-filled pores approaches 100%, vapor flows from warmer to cooler soil sections. This is because an increase in temperature under these conditions causes an exponential rise in vapor concentration, which triggers vapor migration toward cooler soil regions. We hypothesize that in very dry soils, the opposite is the case. When the relative humidity in the air-filled pores is much lower than 100%, an increase in temperature does not translate to an increase in water vapor because there is no liquid water to evaporate. In contrast, the increase in temperature results in a decrease in air density, forming a lower water vapor concentration compared to a cooler soil, resulting in water vapor flow from cooler to warmer soil sections. To test this hypothesis, we conducted an in-situ experiment in the Negev Desert, Israel, where the total soil-atmosphere water flux was measured by lysimeters, and the soil water content at depths of 0.5, 2, 5 and 10 cm were measured using temperature and relative humidity sensors. Water vapor transport was also simulated using a HYDRUS 1D numerical model. We found that vapor transport in these hyper-arid soils is dominated by thermally driven vapor flux (total soil water flux ≈ thermal vapor flux​), while liquid fluxes (thermal and isothermal) and isothermal vapor fluxes are negligible. While the experimental data support our hypothesis, the HYDRUS configuration does not allow for an influx of water vapor from the atmosphere, nor does it allow for water vapor to move from cooler to warmer soil layers, both of which may limit the model’s prediction accuracy. These results highlight the need to reconsider the description of water vapor flow in extremely dry soils in HYDRUS and potentially other land-surface and hydrological models.            

How to cite: Gurebiyaw, K., Kool (RIP), D., and Agam, N.: Water vapor transport in extremely dry soils – does vapor always flow from high to low temperature?   , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3825, https://doi.org/10.5194/egusphere-egu26-3825, 2026.

EGU26-5167 | Orals | SSS6.8

Comparing field-saturated soil hydraulic conductivity determined by the single-ring pressure infiltrometer and bottomless bucket methods 

Dario Autovino, Vincenzo Bagarello, Angelo Basile, Gaetano Caltabellotta, Rosaria Ciotta, Mariachiara Fusco, and Massimo Iovino

Reliable estimates of field-saturated soil hydraulic conductivity, Kfs, are necessary for characterizing and modelling flow and solute transport. However, field determination of Kfs is challenging since this parameter is sensitive to the applied measurement method and the underlying assumptions. Infiltration experiments provide a relatively simple and low-cost way to determine Kfs, but different devices and analysis frameworks can yield method-dependent estimates. In this context, it is necessary to benchmark simple field techniques against more established methods and to quantify how the choice of the method influences estimation of Kfs before such techniques can be widely adopted.
The aim of this investigation was to compare the Kfs values obtained with two single-ring infiltrometers methods. In particular, the classical single-ring pressure infiltrometer (PI) and the bottomless bucket (BB) method were applied in three Mediterranean agricultural fields in Italy under summer dry conditions. The soils were classified as sandy-loam at two sites and clay at the third one.
At each site, 15 PI runs with two consecutively applied ponded depths of water, H (H1 = 5 cm, H2 = 10 cm), and 15 BB falling-head runs (H ranging repeatedly from 10 to 1 cm) were performed. The data obtained with the PI were analyzed using two different approaches. In particular, the Two-Ponding-Depth (TPD) approach was applied for estimating both Kfs and the site-specific sorptive number, α*. The One-Ponding-Depth (OPD) approach was also applied by using the site-specific α* value and averaging the Kfs estimates for the two ponded depths of water. The site-specific α* parameter was also used to analyze the data obtained with the BB method.
The Kfs distribution was predominantly log-normal for all developed datasets whereas the α* distribution was normal. The α* values were consistent with expectations based on soil texture for the three sites (α* ≈ 4.7 m-1 in the finer soil and 9.7–16.4 m-1 in the coarser soils).
At each site, mean Kfs values differed by up to 1.2 times in the two sandy loam soils (70-85 and 249-293 mm h-1) and by up to 1.9 times in the clay soil (150-279 mm h-1). Coefficients of variation ranged from 27% to 130%, depending on soil type and measurement method, with both extremes observed in the clay soil. Differences among soils depended on the experimental method (PI, BB) but not on the PI data analysis approach.
In conclusion, a satisfactory correspondence between the PI and BB methods can be expected in sandy-loam soils but less in clay soils. In any case, the differences between the two methods seem more appreciable with reference to Kfs data variability than the mean value of this soil hydrodynamic parameters.

How to cite: Autovino, D., Bagarello, V., Basile, A., Caltabellotta, G., Ciotta, R., Fusco, M., and Iovino, M.: Comparing field-saturated soil hydraulic conductivity determined by the single-ring pressure infiltrometer and bottomless bucket methods, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5167, https://doi.org/10.5194/egusphere-egu26-5167, 2026.

Soil moisture dynamics exhibit puzzling regime transitions: under slow processes (evaporation, gentle infiltration), matric potential ψ controls behavior as expected from equilibrium theory; under intense rainfall, macropores activate and dominate flow independent of ψ, with connectivity apparently decoupled from capillary forces. Current models treat these as separate phenomena requiring different physics.
At microscopic level, distribution g(r,t) across pore sizes seeks equilibrium governed by chemical potential μ_w[g]. At macroscopic level, imposed matric potential ψ(t) defines target distribution g_eq(r,ψ) toward which the system evolves on relaxation timescale τ_relax (days to weeks). This dual-level structure generates three regimes depending on Damkhölet number, Da:
For Da << 1 (slow processes) system tracks g_eq(ψ) quasi-statically. Matric potential controls which pores fill/drain via Young-Laplace or adsorption forces. Classical equilibrium models, Richards equation is valid and hysteresis absent (equilibrium limit).
For Da ~ 1 (typical field conditions): Partial level coupling. Gap emerges: Δg = g - g_eq ≠ 0. This decoupling creates memory and path-dependence and hysteresis emerges as natural consequence of non-equilibrium, and non commutativity of the dynamic paths. Standard laboratory measurements (Da ~ 5 in 48-hour protocols) capture quasi-steady states with persistent gaps, explaining lab-field mismatch.
For Da >> 1 (intense rainfall) Water invades network via kinetic percolation—fills largest accessible pores first, independent of local ψ. There is macropores activation when topological connectivity threshold reached (Euler characteristic M_3 > M_3^crit), governed by network geometry not capillary forces.
The meta-dynamics framework unifies these regimes: single physics (g(r,t) evolution toward target g_eq(ψ)) with behavior determined by Da-dependent level coupling.
The apparent dichotomy between “matrix flow” and “macropore flow” reflects degree of meta-dynamic coupling, not different physics.
Based on these theoretical arguments, we generalize Richards equation to track connectivity via Euler characteristic χ(x,t), representing macroscopic signature of microscopic distribution. we show how hydraulic conductivity depends on both water content and connectivity: K = K(θ, χ).
We discuss measurement Implications: Different methods probe system at different Da and sample different aspects of g(r,t). Pressure plate (Da ~ 5) measures quasi-steady states. Rainfall simulators (Da ~ 10-100) capture kinetic regime. Tensiometers sample connected pathways weighted by connectivity, not equilibrium ψ. We provide operational definitions relating measurements to meta-dynamic state and Da regime, explaining systematic method-dependent discrepancies as physics not error.
The framework connects structurally to glass physics (Deborah number = Damköhler, measuring level coupling), plasticity theory (internal state variables bridging scales), and exhibits mathematical parallels to gauge theory (though ψ is control parameter, not gauge field), validated through universal patterns across path-dependent systems. Non-commutativity of wetting-drying [W,D] ≠ 0 emerges as topological property, proving path-dependence unavoidable.
Keywords: Meta-dynamics, path-dependence, dual-level structure, non-equilibrium, Damköhler number, macropore flow, connectivity, soil moisture

How to cite: Rigon, R.: A Meta-Dynamics Framework for Non-Equilibrium Soil Moisture and Unified Matrix-Macropore Flow., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5803, https://doi.org/10.5194/egusphere-egu26-5803, 2026.

EGU26-5918 | ECS | Posters on site | SSS6.8

Thermal and hydraulic behavior of substrates for extensive green roofs in mediterranean urban area 

Rosaria Ciotta, Dario Autovino, Cristina Bondì, Massimo Iovino, and Radka Kodešová

The rapid increase in sealed surface in urban area have contributed to the alteration of climatic conditions. The use of vegetation integrated with buildings and other forms of vegetation provides a sustainable solution to these problems, bringing numerous benefits, including the decrease of CO2 emissions consequent to reduction of electricity consumption to regulate the temperature comfort inside buildings and the reduction of surface runoff into urban sewage systems. The main objective of this work was to study the thermal and hydraulic behavior of vegetated and not-vegetated extensive green roofs. For the purpose, two green roof plots were installed on the roof of the building of the Faculty of Agriculture at the University of Palermo. The experiment was carried out in the spring-summer season of 2025. Meteorological data were acquired through a weather station installed on the roof and substrate temperature and volumetric water content were monitored by Teros 12® capacitive probes (Meter Group GmbH) embedded into the green roof plots. Drainage was collected into tanks equipped with ultrasonic transducers for automatic acquisition of water level measurements. A commercial substrate (TMT, Harpo VerdePensile s.r.l) was used with expanded clay as drainage layer. Water retention and hydraulic conductivity function were determined from the laboratory measurements carried out with the evaporation method (Schindler, 1980) using HYPROP apparatus (Meter Group GmbH). Substrate thermal conductivity function parameters were determined according to the Chung and Horton model (1987) on data acquired through the THERMOLINK (Meter Group GmbH). Thermal and hydraulic processes that occur on the roof were then simulated considering both 2D and 3D flow domain by the Hydrus 2D/3D software. Comparison between simulated and measured data during either rainfall events and inter-rainfall periods allowed to highlight the role that vegetation plays on the thermo-hydrological processes and support the use of HYDRUS as a predictive tool in green infrastructure planning and management.

References

Chung, S., Horton, R., 1987. Soil heat and water flow with a partial surface mulch. Water Resources Research 23, 2175–2186. https://doi.org/10.1029/WR023i012p02175

Schindler, U., 1980. Ein Schnellverfahren zur Messung der Wasserleitfähigkeit im teilgesättigten Boden an Stechzylinderproben. Archiv für Acker- und Pflanzenbau und Bodenkunde 24 (1): 1-7.

 

How to cite: Ciotta, R., Autovino, D., Bondì, C., Iovino, M., and Kodešová, R.: Thermal and hydraulic behavior of substrates for extensive green roofs in mediterranean urban area, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5918, https://doi.org/10.5194/egusphere-egu26-5918, 2026.

Accurate soil hydraulic properties (SHP) are essential for groundwater modeling with Richards’ equation. In coastal soils affected by sea-level rise, SHP shift in response to changing salinity and repeated wetting-drying cycles, yet the combined effects of soil salinity and drying memory remain poorly quantified. We conducted a controlled laboratory study to investigate these interactions across the full moisture range in three soils of different textures (sand, sandy loam, and silt loam). Soils were saturated with artificial seawater at three salinity levels, 0, 15, and 30 dS m⁻¹. SHP were measured using HYPROP evaporation experiments and WP4C dewpoint potentiometry over repeated drying cycles. Salinity induced strong, texture-dependent responses. Although salinity imposed a limited influence on the water retention behavior of the sandy silt loam, it resulted in a pronounced increase in unsaturated hydraulic conductivity, consistent with salt-driven flocculation and pore-domain reorganization. Across all textures, SHP exhibited non-linear dependencies on salinity, texture, and drying memory. Model fitting of the measured data showed that the Peters-Durner-Iden (PDI) model outperformed the van Genuchten model, due to its explicit representation of adsorptive water and film flow. The resulting dataset provides a mechanistic foundation for next-generation SHP models that incorporate dynamic soil structure and texture-specific coupling between matric and osmotic effects.

How to cite: Naseri, M. and Jin, Y.: Drying-memory effects and texture-dependent salinity responses revealed by full-range measurements of soil hydraulic properties, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6028, https://doi.org/10.5194/egusphere-egu26-6028, 2026.

EGU26-6243 | Posters on site | SSS6.8

Effects of systematic errors in observations on model prediction uncertainty. 

Jan Vanderborght, Marit Hendrickx, Jan Diels, and Pieter Janssens

Observations of soil states obtained from in-situ or remote sensors have various sources of errors. A crude way to represent these errors is to assume that part of the error is purely random whereas another part persists and does not change over time. Since the persistent part does not cancel out when more data become available over time whereas the random part does, the partitioning of the error into a persistent and random part is important to assess the uncertainty of model parameters and model predictions that are derived from these observations. Two approaches can be followed to represent these systematic errors in model parameter estimation. The first approach represents the systematic error as an additional parameter representing the bias that is estimated using additional unbiased observations, which we assumed to have only random errors. A second approach represents the systematic error as a covariance in the error-covariance matrix. The uncertainty of the model predictions in the first approach consists of a term that represents the uncertainty of the bias estimation, which is independent of the magnitude of the bias and depends only on the uncertainty of the unbiased additional observations. When additional unbiased measurements are included in the second approach, which represents bias as error covariance, smaller model prediction uncertainty is obtained than using the first approach. This is especially the case when the covariance representing the bias is smaller than the variance of the average error of the random observations. Including prior knowledge about the bias in the error covariance, reduces the model parameter and prediction uncertainty.

How to cite: Vanderborght, J., Hendrickx, M., Diels, J., and Janssens, P.: Effects of systematic errors in observations on model prediction uncertainty., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6243, https://doi.org/10.5194/egusphere-egu26-6243, 2026.

EGU26-6728 | ECS | Posters on site | SSS6.8

Integrated Assessment of Vadose Zone Physical and Hydraulic Properties in Semiarid and Arid Mining Landscapes in Namibia 

Karoline Kny, Stefan Norra, Elisabeth Eiche, Kamuiiua Kamundu, Paulina Nagombe, Sanja Russ, Rosa Sengl, and Theo Wassenaar

Mining deposits form anthropogenic vadose zones with physical, hydrological, and chemical characteristics that diverge strongly from natural soils. Observations show that these deposits rarely undergo spontaneous revegetation, although surrounding landscapes recover without intervention. The mechanisms controlling this failure remain poorly understood, quantitative datasets on these materials are scarce, and no framework currently links deposit genesis, material properties, hydrological functioning, and plant viability. This knowledge gap is critical in countries such as Namibia, where mining underpins the national economy but also causes severe ecological disturbance. As the driest nation in Sub-Saharan Africa, restoration of mine deposits in Namibia is not only constrained by toxicity and altered physical soil properties, but also water scarcity.

The WaMiSAR project aims to develop a toolbox for sustainable, climate-adapted water management within the mining sector of the Southern African Region by jointly addressing water scarcity and restoration of disturbed substrates. A combination of field monitoring, laboratory analyses, and process-based modeling is needed to identify the dominant factors limiting plant growth and to evaluate remediation strategies and irrigation effects in mine residue deposits. The central hypothesis is that plant-available water, rather than chemical contamination, constitutes the primary limiting factor for vegetation establishment on mine deposits in the region, particularly during early seedling stages.

To date, three field campaigns have quantified chemical, physical, and hydrological properties at two contrasting sites in Namibia: (i) Tsumeb, a decommissioned copper mine in the semi-arid north, and (ii) Rosh Pinah, an active zinc-lead mine in the arid south. Initial observations indicate that spontaneous vegetation occurs almost exclusively on sandy surface materials, whereas silt-rich layers, salt crusts, and gravelly substrates remain largely unvegetated. Where vegetation is present, roots extend several decimeters into the substrate. Elevated concentrations of copper, zinc, or lead do not appear to inhibit plant growth, whereas strong contrasts in texture and water-holding capacity are evident. Soil moisture sensors installed at multiple depths capture vadose zone dynamics. The usage of low-cost, humidity-based sensors enable the characterization of water retention in the ultra-dry range, overcoming limitations of conventional techniques.

The project generates a quantitative hydro-physical dataset for mining residues across the full moisture spectrum, identify key constraints on plant establishment, and improve hydraulic parameterizations for dry, anthropogenically altered substrates. These outcomes will support scientifically grounded remediation strategies and form the basis for an operational framework linking deposit origin, climate, substrate properties, and appropriate restoration interventions.

How to cite: Kny, K., Norra, S., Eiche, E., Kamundu, K., Nagombe, P., Russ, S., Sengl, R., and Wassenaar, T.: Integrated Assessment of Vadose Zone Physical and Hydraulic Properties in Semiarid and Arid Mining Landscapes in Namibia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6728, https://doi.org/10.5194/egusphere-egu26-6728, 2026.

Infiltration events, such as rain-on-dry soil or snowmelt over frozen ground, often introduce water at a temperature different from the surrounding soil and air. In such cases, Local Thermal Non-Equilibrium (LTNE) conditions arise, where water, air, ice, and the solid matrix maintain distinct temperatures over extended periods. This is especially true in macropores systems, where rapid flow enhances thermal decoupling.

We present a novel dual-permeability model that resolves water, air, and solid temperatures independently under LTNE conditions. The framework captures the dynamic behavior of macropores and micropores during infiltration and freeze-thaw cycles and is validated against controlled laboratory experiments.

In the first stage, we simulate unsaturated infiltration into soils featuring laboratory-defined macropore configurations under non-isothermal boundary conditions. Sensitivity analyses identified the mass exchange coefficient (γ=10-4 , 10-2 [s-1]) and the macropore volume fraction (ωMa= 0.2, 0.3 [-]) as key parameters controlling thermal equilibration between pore domains. Results show that thermal disequilibrium persists significantly longer in macropores than in micropores, reflecting the dominance of advective transport in larger pore structures. To expand this investigation, we apply the model to freezing and thawing scenarios in cold-region soils. By integrating a three-phase formulation (liquid, ice, solid) and freezing point depression, we reproduce key phenomena such as delayed freezing fronts, preferential flow paths during thaw, and pore-wall ice formation in macropores. These results demonstrate the importance of domain-specific phase dynamics and the need for LTNE frameworks in frozen soil simulations.

This work provides a numerical approach for calibrating thermo-hydraulic dual-permeability models, highlighting how structural features like macropores influence the transient thermal regime during both infiltration and freeze-thaw cycles. Our approach can be extended to support multi-scale modeling and soil temperature prediction under climate-sensitive scenarios.

How to cite: Khanahmadi, H., Heinze, T., Baselt, I., and Bauer, J.: Modeling Heat and Mass Transfer under Local Thermal Non-Equilibrium Conditions in Structured Soils: A Dual-Permeability Approach for Infiltration and Freeze-Thaw Dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7095, https://doi.org/10.5194/egusphere-egu26-7095, 2026.

Dry drainage systems enhance the leaching and migration of soil salinity in cultivated areas through evaporation in fallow zones (low-lying wastelands), improving soil quality in a cost-effective and environmentally friendly manner. However, the ongoing expansion of arable land reduces the extent of such wastelands, underscoring the need to optimize their management for maximal salt discharge. This study examines the contribution of wasteland to regional salt removal and its subsequent effects on arable land distribution, land-use conversion, and salinization dynamics. Taking the Hetao Irrigation District—a large irrigation area located in the upper reaches of the Yellow River and the largest designed irrigation area in China—as the research area, we conducted a salt inversion analysis based on Landsat remote sensing data and land use datasets to extract the distribution, location, and salinization levels of different land types. Our findings reveal substantial changes in both arable land and wasteland in the Hetao Irrigation District. From 2003 to 2023, arable land remained the dominant land-use type in the Hetao Irrigation District, characterized by widespread distribution and relatively large contiguous patches. In contrast, wasteland was primarily distributed in the western and northern regions in 2003, but after 2008, its area decreased significantly, exhibiting a trend toward smaller, more fragmented, and dispersed patches. Specifically, arable land expanded from about 7,800 km² to 8,600 km², accounting for 76.51% of the total area. Wasteland area declined annually from 2008 to 2018 but showed signs of recovery from 2018 to 2023. Although wasteland occupies a relatively small area, it acts as a major salinity sink, concentrating approximately 15.74%–35.09% of the total soil salts in the region. The spatial dispersion of wasteland fluctuated over the observation period. The distribution of wasteland showed the highest dispersion in 2003, followed by alternating phases of aggregation and re-dispersion, without forming a clear long-term trend and maintaining an overall dynamic equilibrium. This suggests that the spatial distribution of wasteland exhibits temporal elasticity, with its dispersion and aggregation significantly influenced by short-term factors, yet no systematic large-scale expansion or contraction occurred. Due to elevated salinization, some cultivated land became unsuitable for crops and transitioned primarily into wasteland or grassland. Spatially, wasteland shifted westward from 2003 to 2018, then returned eastward by 2023, with minimal north–south movement. The salinity dynamics in these discharge zones are influenced by climate, groundwater, and evaporation, which collectively alter salinization patterns and land suitability. Newly formed wastelands continue to absorb salts from surrounding soils, thereby modulating regional salinity levels and influencing land-use configurations. Overall, this study not only provides critical insights into the interactions between arable land and wasteland but also emphasizes the necessity of sustainable land management practices to address salinization challenges. Our findings can inform policymakers and land managers in developing strategies aimed at optimizing land use while preserving soil health and enhancing agricultural resilience in the face of increasing salinity pressures.

How to cite: Yan, S.: The role of wasteland in salt discharge and its impact on the distribution and transformation of arable land, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7350, https://doi.org/10.5194/egusphere-egu26-7350, 2026.

EGU26-8364 | Posters on site | SSS6.8

Use of generalized power series for the modeling of 1D and 3D (disc-source) water infiltration into soils 

Laurent Lassabatere, Dario Autovino, Vincenzo Bagarello, and Massimo Iovino

Climate and global changes increase pressure on natural resources, particularly water. Climate change affects hydrological processes and threatens water resources in both quantity and quality. Societal adaptation therefore requires a paradigm shift in water management, including reducing human impacts on the water cycle and restoring the natural cycle. Achieving this transition relies on a detailed understanding of hydrological processes, especially those governing water infiltration into soils. Soil water infiltration modeling has been studied for decades, with approaches ranging from analytical to numerical modeling. Analytical solutions, developed as approximations of Richards’ equation, were initially favored before advances in computational capacity enabled numerical models. Despite this evolution, analytical approaches remain essential for validating and consolidating numerical developments. Among the analytical models proposed, power series expansions in time—more precisely in t1/2 - were the earliest, based on Philip’s pioneering work (Philip, 1957). Later, Haverkamp et al. (1994) introduced an implicit quasi-exact formulation for infiltration into soils with uniform initial water content, afterwards adapted to circular surface sources. These models, along with their short-time expansions, form the basis for experimental data analysis and are typically truncated after the first three terms, as higher-order contributions are negligible (Moret-Fernández et al., 2020).

This study investigates a general power series formulation for modeling water infiltration, I(t) = a1 tα1 + a2 tα2 + a3 tα3, and evaluates its ability to fit numerically generated infiltration data for different choices of exponents and coefficients. The study first demonstrates that the simultaneous estimation of all three exponents and coefficients leads to an ill-posed inversion problem due to model overparameterization. The analysis is therefore restricted to a two-term formulation, I(t) = a1 tα1 + a2 tα2, with parameters optimized sequentially to reduce non-uniqueness. One-dimensional horizontal infiltration data are first analyzed using the single-term model I(t) = a1 tα1, with several inversion strategies, including fixing the parameters to the reference values a1 = S (soil sorptivity) and α1=1/2. One-dimensional vertical infiltration and disc-source infiltration are then fitted to estimate the remaining parameters a2 and α2. Parameter estimation options, including reference values from Haverkamp et al. (1994), are evaluated across multiple soils and initial saturation conditions. Finally, the obtained parameter values are discussed in light of physical considerations. This study aims to contribute to the development and application of analytical approaches for modeling water infiltration.

References

  • Haverkamp, R., Ross, P.J., Smettem, K.R.J., Parlange, J.Y., 1994. Three-dimensional analysis of infiltration from the disc infiltrometer. 2. Physically based infiltration equation. Water Resour. Res. 30, 2931–2935.
  • Moret-Fernández, D., Latorre, B., López, M.V., Pueyo, Y., Lassabatere, L., Angulo-Jaramilo, R., Rahmati, M., Tormo, J., Nicolau, J.M., 2020. Three- and four-term approximate expansions of the Haverkamp formulation to estimate soil hydraulic properties from disc infiltrometer measurements. Hydrol. Process. 34, 5543–5556. https://doi.org/10.1002/hyp.13966
  • Philip, J., 1957. The theory of infiltration: 1. The infiltration equation and its solution. Soil Sci. 83, 345–358.

This project has received funding from European Union’s HORIZON EUROPE research and innovation program GA N°101072777-PlasticUnderground HEUR-MSCA-2021-DN-01.

How to cite: Lassabatere, L., Autovino, D., Bagarello, V., and Iovino, M.: Use of generalized power series for the modeling of 1D and 3D (disc-source) water infiltration into soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8364, https://doi.org/10.5194/egusphere-egu26-8364, 2026.

EGU26-8667 | ECS | Posters on site | SSS6.8

Soil water and salt transport in seasonally frozen cropland: isotopic tracing method with geochemical modelling  

Huili Zhang, Chengwei Wan, Grzegorz Skrzypek, and John J Gibson

Understanding the dynamics of water and salt migration in seasonally frozen agricultural soils is critical for effective arid land management. This study combined field monitoring with a three-method extraction strategy for stable isotope analyses (direct vapor equilibration, centrifugation, and cryogenic vacuum distillation). By integrating resulting isotope signatures into an Isotope Mass Balance (IMB) model, we quantitatively differentiated phase-state water pools. The results confirmed that freezing induces significant Rayleigh fractionation, enriching ice in heavy isotopes relative to mobile water. In contrast, the bound water fraction remains hydraulically isolated and isotopically distinct, requiring its exclusion from phase-change calculations. Coupling with geochemical modelling (FREZCHEM) revealed that salt migration is controlled by the interplay between thermally driven convective fluxes and concentration-driven diffusive fluxes, although individual ion exhibited distinct redistribution pathways.

Cryogenic precipitation regulates soil salt transport regime: extensive surface crystallization reduces dissolved ion concentrations, thereby maintaining the steep upward gradient required for continuous salt accumulation. The model demonstrated that crystallization accounted for up to 40.5 % of the total salt load incorporated into solid phases during freezing. These solid salts create a "geochemical trap" in which re-dissolution lags behind the initial spring meltwater pulse, significantly reducing leaching efficiency. Consequently, sustainable salinity management cannot rely on hydraulic regulation alone. Effective irrigation strategies must integrate groundwater management with the specific composition of the salt load to overcome these persistent geochemical constraints.

How to cite: Zhang, H., Wan, C., Skrzypek, G., and Gibson, J. J.: Soil water and salt transport in seasonally frozen cropland: isotopic tracing method with geochemical modelling , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8667, https://doi.org/10.5194/egusphere-egu26-8667, 2026.

One dimensional dual-permeability models are used to simulate preferential flow and transport in soils. In these models, soil structure, including large biopores and cracks, is accounted for in a simple way by splitting the total porosity into a micropore and a macropore domain with first-order equations governing the transfer of water and solutes between the domains. The transfer equations are central in dual-permeability models because the values of the included parameters have a strong influence on the degree of simulated preferential flow and transport. These transfer terms include a parameter describing the characteristic length of the soil matrix structure. This characteristic length is well defined for idealised pore geometries. However, such idealised pore geometries are poor representations of macropore networks in intact soil. Our objective was to test if values of parameters governing the degree of preferential transport in dual-permeability models could be estimated from measures of soil structure derived from X-ray tomography images. To achieve this, we calibrated the dual-permeability model MACRO against non-reactive solute breakthrough curves obtained at two flow rates from 33 intact soil columns sampled from a field with large variation in soil properties. Relations between measures of soil structure derived from images of the same columns and values for parameters governing preferential transport were then evaluated. The MACRO model could reproduce all BTCs well except those for three sandy soils. When the saturated water content of the soil matrix, here used to account for possible water repellency, was included in the calibration also the BTCs for the sandy soils were well reproduced. Preliminary results indicate that the fractal dimension of the total imaged pore network is the strongest predictor for the characteristic length of the soil matrix. The other included model parameters were not strongly correlated with any measures of the total imaged pore network. We will also present results for the imaged percolating macropore networks (i.e. the parts of the pore networks connected to both the top and bottom of the imaged region of interest), which is a better representation of the pore network that was active during the transport experiments.

How to cite: Larsbo, M. and Fukumasu, J.: The relation between X-ray-derived measures of soil structure and dual-permeability model parameter values, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9525, https://doi.org/10.5194/egusphere-egu26-9525, 2026.

EGU26-9587 | Orals | SSS6.8

A Generic Data-driven model for Soil Moisture Prediction  

Vidya Sumathy, Ilektra Tsimpidi, and George Nikolakopoulos

In the literature, most of the scientific approaches that appeared in the related Soil Moisture (SM) have been generated by trying to model physical interactions between the sampled parameters and their effect on their environment. Classical approaches in this direction have been physics-based models, such as the water balance model, which describe hydrological processes [Hu, Xiande et.al.2025]. These models use physics-based equations and require high-quality input data. Furthermore, their high computational cost limits their use in large-scale applications. Statistical methods were subsequently incorporated to enhance model adaptability [Fu, Rong, et.al., 2023]. Through data-driven approaches, empirical relationships between soil moisture and environmental parameters can be established with efficient computational costs. 

In contrast to these well-known areas, this work is trying to develop a comprehensive survey of the most popular data driven algorithms reported in the literature. These algorithms could be further categorized as: a) classical machine learning models (e.g., Random Forests and Support Vector Machines), b) deep learning models (e.g., Long Short-Term Memory, Artificial Neural Networks and Convolutional Neural Networks), c) statistical models (Multiple Linear Regression and Autoregressive Integrated Moving Average) and d) geostatistical models (Kriging). As the name indicates, these models use data as input, which are either historical data of SM, or environmental data, or both to predict soil classification such as wet or dry soil, or continuous soil moisture estimation using regression. The construction of such models typically entails an initial exploration of the data, the evaluation of several candidate models, and the final selection and training of a model using an appropriate learning algorithm [Ding et. al.2018].    

As an overall conclusion, the most common physical parameters utilized in data drive models that affect SM variation include air temperature, precipitation, air relative humidity, solar radiation, soil type, topography, and vegetation cover data. GPS location data is also important for allowing generality and adaptability in the field. Thus, we are aiming to create a novel generic data driven model, as depicted in Figure1, that will take into consideration all the previous parameters to generalize the estimation of the SM and expand its applicability in other fields without real field measurements. For achieving this, the first potential candidate as a data driven learning model will be the Long Short-Term Memory (LSTM).  

Figure 1: A block diagram of the proposed Generic Data-Driven Model.

References 

Hu, Xiande et.al. "Urban rainwater resource utilization: A sustainable environmental impact assessment using life cycle assessment (LCA) and water balance model." Desalination and Water Treatment 322 (2025): 101094. 

Fu, Rong, et.al. "A soil moisture prediction model, based on depth and water balance equation: A case study of the Xilingol League Grassland." International Journal of Environmental Research and Public Health 20, no. 2 (2023): 1374. 

Ding, Jie, et.al. "Model selection techniques: An overview." IEEE Signal Processing Magazine 35, no. 6 (2018): 16-34. 

How to cite: Sumathy, V., Tsimpidi, I., and Nikolakopoulos, G.: A Generic Data-driven model for Soil Moisture Prediction , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9587, https://doi.org/10.5194/egusphere-egu26-9587, 2026.

EGU26-10008 | ECS | Posters on site | SSS6.8

Disentangling Plant-Induced Soil Effects on Runoff: Experiments and Modeling of Miscanthus 

Florian Bucher, Mark Tuschen, Mariele Evers, and Markus Weiler

Land use is a key driver of differences in runoff generation and play an important role in water retention and the mitigation of surface runoff during high-intensity rainfall events. Perennial crops’ permanent root system and persistent mulch layers can substantially modify soil physical properties in comparison to annual crops, thereby influencing soil hydraulic functioning and runoff generation processes. While existing studies commonly compare the effects of perennial crops on infiltration, runoff, or water balance at longer temporal scales, experimental data on runoff responses under short, high-intensity rainfall events are quite scarce. In particular the hydrological behavior of agricultural fields cultivated with perennial crops remains poorly understood. For Miscanthus x giganteus, a perennial crop commonly grown for bioenergy production and increasingly investigated as a sustainable building material, observations on hillslopes in the Erft catchment during heavy rainfall events in 2016 and 2022 suggest runoff retention effects. Therefore, we quantified the influence of Miscanthus on runoff generation during heavy rainfall events. A series of different artificial rainfall experiments were conducted on three different 10 x 10 m plots cultivated with Miscanthus, winter wheat and permanent pasture serving as reference land-use type. Surface and subsurface runoff were measured at the bottom of each hillslope plot under different rainfall intensities producing in total 36 experiments. To separate the plant-induced effects on soil structure and hydrological processes, the experiments were also simulated with the process-based runoff-generation model RoGeR, which includes various preferential flow processes. The results from the measurements indicate a pronounced retention effect of Miscanthus during the runoff initiation phase, leading to lower runoff rates than winter wheat. However, no clear differences in total surface runoff volumes were observed under the applied rainfall conditions. These findings indicate that the persistent mulch layer associated with perennial crops such as Miscanthus can substantially modify runoff dynamics during high-intensity rainfall events and reduce soil erosion. Ongoing modelling of the experiments with RoGeR aims to quantify the contribution of different preferential flow paths and to investigate why Miscanthus does not reduce total surface runoff relative to tall, fully developed winter wheat. The results will improve process-level understanding of the effects of perennial crops on runoff generation under extreme rainfall events and have implications for the assessment of nature-based solutions and land-management strategies aimed at flood mitigation.

How to cite: Bucher, F., Tuschen, M., Evers, M., and Weiler, M.: Disentangling Plant-Induced Soil Effects on Runoff: Experiments and Modeling of Miscanthus, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10008, https://doi.org/10.5194/egusphere-egu26-10008, 2026.

EGU26-12069 | Posters on site | SSS6.8

Mapping Infiltration Shape Parameters for Enhanced Soil Hydraulic Characterization 

Simone Di Prima, Frederic Do, Olivier Roupsard, and Laurent Lassabatere

Purpose. Accurate characterization of water infiltration into the vadose zone requires estimating key soil hydrodynamic properties, including the macroscopic capillary length (λc) and saturated hydraulic conductivity (Ks). These parameters quantify the contributions of capillarity and gravity (λc) and gravity-driven flow (Ks) during infiltration. Both λc and Ks can be estimated in the field using a simple Beerkan infiltration test, which requires minimal equipment, limited water, and no specialized operators. Their calculation, however, depends on “integral” shape parameters that vary strongly with soil type. In this study, we present new formulations based on integrating the hydraulic conductivity function expressed in terms of pressure head. These formulations allow accurate estimation of shape parameters even under dry soil conditions, providing an alternative to previous methods that rely on diffusivity or conductivity expressed as a function of water content.

Method. We applied the new formulations to calculate soil-dependent shape parameters for the twelve USDA textural classes. Their performance in estimating λc and Ks was evaluated using synthetic cumulative infiltration curves generated with HYDRUS-2D/3D and compared with results obtained using default literature values. For practical applications, we propose two approaches to select appropriate shape parameters: (i) based on soil samples to determine textural class, and (ii) using texture-dependent parameter maps for site-specific selection. Both approaches were tested using a dataset of 167 Beerkan infiltration experiments across seven sites in Burundi, Ghana, Italy, and Senegal.

Results. The sample-based approach provides higher accuracy in estimating λc and Ks, whereas the map-based approach eliminates the need for laboratory analysis and still outperforms default literature values, making it suitable for large-scale studies. To support the map-based method, we provide parameter maps at 250 m resolution for six countries (Burundi, Cameroon, Ghana, Italy, Kenya, and Senegal), alongside complementary soil property maps from the SoilGrids database (clay, sand, silt content, dry bulk density, and USDA soil texture classes), all freely accessible. Additionally, we propose a simplified method for estimating λc using a new empirical relationship that requires only the Mualem–van Genuchten shape parameter n, which can be derived from SoilGrids texture data using pedotransfer functions such as Rosetta3. Complementary maps of all Mualem–van Genuchten parameters are also provided.

Conclusions. This work improves and simplifies the field estimation of key soil hydrodynamic properties by providing shape parameters for all USDA texture classes and accessible maps for parameter extraction. The approach facilitates the hydraulic characterization of large areas and extensive datasets, supporting both local and regional-scale infiltration studies.

Data availability

Soil property and parameter maps at 250 m resolution for Burundi, Cameroon, Ghana, Italy, Kenya, and Senegal are available in the open-access digital repository Zenodo at https://doi.org/10.5281/zenodo.17397791

Funding

This work was supported through the project GALILEO ― Strengthening rural livelihoods and resilience to climate change in Africa: innovative agroforestry integrating people, trees, crops and livestock (project number: 101181623), funded by the European Union.

How to cite: Di Prima, S., Do, F., Roupsard, O., and Lassabatere, L.: Mapping Infiltration Shape Parameters for Enhanced Soil Hydraulic Characterization, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12069, https://doi.org/10.5194/egusphere-egu26-12069, 2026.

EGU26-12159 | ECS | Orals | SSS6.8

Effect of woodchips on water infiltration into soil : evidence of mitigating clogging and hydraulic conductivity reduce  

Margot Coisnon, Pauline Louis, Vincent Chatain, Laurent Lassabatere, and Remi Clement

The infiltration of urban water is an increasingly adopted practice downstream of wastewater treatment plants for the disposal of treated effluents. To maintain optimal infiltration conditions, materials such as gravel are commonly added to soils receiving the treated water. However, these materials involve significant economic and environmental costs, and their long-term effectiveness when combined with soil remains limited.

This study investigates the use of woodchips as an alternative material for the infiltration of treated wastewater. This material, primarily composed of organic matter, is less costly and may offer advantageous properties to sustain soil infiltration over time, both in terms of hydraulic performance and treatment capacity.

To this end, two pilot columns composed solely of a low-infiltration-capacity soil layer and two columns composed of the same soil layer overlain by a woodchip layer were hydraulically monitored over a four-year period. The objective was to assess the potential of woodchips to maintain or enhance infiltration in soils over time and to follow water infiltration into the two systems soil (control) and soil with an upper layer of woodchips. Two large columns—one consisting of soil alone and the other of soil overlain by woodchips—were subjected to successive infiltrations of treated wastewater volumes (mimicking a wastewater treatment plant outlet). Water infiltration, storage, and drainage were monitored in both systems. One-dimensional hydraulic modeling of the columns was performed using HYDRUS-1D to solve Richards’ equation and simulate the system behavior. The modeling was based on the van Genuchten–Mualem formulation for the water retention and hydraulic conductivity functions, as commonly adopted. Fitting the experimentally measured quantities enabled the estimation of intrinsic soil hydraulic parameters and the characterization of their temporal evolution over the four years of operation.

In addition to inversion and parameter estimation, a sensitivity analysis of the hydraulic parameters—namely saturated hydraulic conductivity (Kₛ), α, and n—was performed to strengthen the reliability of the modeling results and parameter estimates. This analysis highlights the predominant influence of Kₛ on variations in the soil water retention curves, leading to its selection as a key indicator of the evolution of soil infiltration performance. Furthermore, electrical resistivity tomography (ERT) measurements were used to monitor water distribution within the columns during feeding and resting phases. These data also served to further calibrate the model and gave insights on processes at the interface between the woodchips and the soil below, then improving system representation.

The modeling results demonstrate the significant role of woodchips in sustaining infiltration capacity. The Kₛ values estimated for soils amended with woodchips are consistently higher than those obtained for soils without woodchips. Such benefits is expected to result to the release of organic matter with a benefic effect on the soil structure.

How to cite: Coisnon, M., Louis, P., Chatain, V., Lassabatere, L., and Clement, R.: Effect of woodchips on water infiltration into soil : evidence of mitigating clogging and hydraulic conductivity reduce , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12159, https://doi.org/10.5194/egusphere-egu26-12159, 2026.

EGU26-12963 | ECS | Posters on site | SSS6.8

Hierarchical modelling to map soil salinity using proximal sensing and a multispectral UAV 

Lorena Salgado, Andrea Martín, Verónica Peña, Diego Soto-Gómez, Carlos Rad, Carlos Cambra, José Luis R. Gallego, and Rocío Barros

Soil salinity commonly exhibits strong within-field variability, and operational diagnosis requires scaling point-based reference measurements to spatially continuous estimates. This study evaluates a hierarchical, cascading modelling framework to map soil salinity at field scale in agricultural plots in Belorado (Burgos, Spain), integrating laboratory reference data with diffuse reflectance spectroscopy, proximal apparent electrical conductivity sensing, and very-high-resolution multispectral UAV products.

In each plot, 40 sampling locations are established and georeferenced using GNSS RTK. Soil samples collected at these locations are analysed in the laboratory to obtain salinity reference values. On the same day, and prior to the commencement of sampling operations, a multispectral UAV survey (DJI P4 Multispectral) is conducted to generate high-resolution orthomosaics and derived spectral variables. This is followed by a full-coverage proximal survey using a VERIS Q2800 system to measure apparent electrical conductivity (ECa) continuously across each plot. After these surveys, sampling is performed and diffuse reflectance spectra are acquired in situ at the GNSS-referenced locations using a NeoSpectra (Si-Ware) instrument. In addition, laboratory spectroscopy is repeated on air-dried samples to quantify moisture effects and to assess the consistency between field and laboratory spectral acquisitions.

The upscaling strategy is implemented as a cascade of transfer models: (i) laboratory salinity and diffuse reflectance spectroscopy, (ii) diffuse reflectance spectroscopy and ECa (VERIS), and (iii) ECa and UAV-derived spectral variables, enabling plot-wide prediction. Model performance is assessed using cross-validation, including spatially explicit schemes, and uncertainty propagation along the cascade is examined where feasible. The outcome is a reproducible workflow for producing field-scale salinity maps and quantifying the added value of each sensing layer in the hierarchical framework.

How to cite: Salgado, L., Martín, A., Peña, V., Soto-Gómez, D., Rad, C., Cambra, C., Gallego, J. L. R., and Barros, R.: Hierarchical modelling to map soil salinity using proximal sensing and a multispectral UAV, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12963, https://doi.org/10.5194/egusphere-egu26-12963, 2026.

A fundamental challenge in soil physics is understanding how particle size distribution and structural organization jointly determine hydraulic behavior. Traditional analytical methods systematically destroy structural context to isolate "pure" texture measurements, eliminating the very relationships we seek to understand. While we know texture and structure interact, quantifying their relative contributions and functional interdependence across diverse soils remains elusive. We use interpretable machine learning as a discovery tool to disentangle texture and structure effects on soil water retention and hydraulic conductivity. Through staged training experiments, we systematically isolate texture-only predictions (sand, silt, clay) from structure-mediated modifications (bulk density, organic carbon). By freezing model components that interpret hydraulic behavior and controlling input availability during training, we extract learned representations that reveal how structural context alters the hydraulic meaning of identical particle size distributions. Our approach incorporates physical constraints while learning representations that capture functional complexity beyond what simple texture classes encode. Initial analyses suggest that structural inputs progressively reorganize texture-based patterns in the learned embedding space, with the magnitude of structural modulation varying systematically across soil types. Soils with identical particle size distributions occupy distinct functional spaces depending on bulk density and organic matter content—texture acquires hydraulic meaning only through structural context. These learned representations align with physical intuition: structural effects dominate precisely where classical pedotransfer functions show highest uncertainty. This demonstrates how interpretable AI can recover relationships eliminated by reductionist analytical protocols, transforming machine learning from a prediction tool into an instrument for scientific insight. Beyond improving hydraulic property estimation, the methodology offers a framework for investigating other soil properties where composition and organization interact to determine function—challenging us to rethink what we measure and how we interpret it.

How to cite: Ghezzehei, T.: Deciphering Texture-Structure Interactions in Soil Hydraulic Behavior Through Interpretable Neural Networks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14966, https://doi.org/10.5194/egusphere-egu26-14966, 2026.

The wide availability of high-performance computing resources has opened possibilities to employ complex, physically-based soil-water flow models at larger scales. While detailed 1D models like SWAP (Soil-Water-Atmosphere-Plant) are ideal for modelling unsaturated flow and crop growth at field scale, their traditional design tailored for single-column applications limits their scalability. This legacy structure creates a significant challenge when attempting to perform quasi-3D distributed simulations or when coupling with regional groundwater models such as MODFLOW, where thousands of interacting columns must be solved simultaneously.

This poster presents a refactoring effort that enables SWAP to run many independent 1D columns truly in parallel within one process, supporting high-throughput simulations with minimal I/O bottlenecks. This modernization targets the needs of modern environmental data science, such as (i) memory-efficient integration with spatial libraries (e.g., NetCDF), and (ii) seamless compatibility with parameter estimation and uncertainty frameworks (e.g., PEST) which require thousands of iterative model calls. By enabling direct memory access to state variables, the updated framework removes the overhead of disk operations, facilitating autocalibration and sensitivity analysis even at scale.

A motivating application is the Kinrooi subirrigation experiment, where spatial variability in soil hydraulic properties and boundary conditions influences the effective recharge rate. The poster shows how the updated parallel approach makes it practical to explore these spatial patterns while preserving the mechanistic detail of the original model.

How to cite: Zawadzki, M.: Scaling up SWAP: multi-instance parallel execution for soil-water–atmosphere-plant simulations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15486, https://doi.org/10.5194/egusphere-egu26-15486, 2026.

EGU26-16664 | ECS | Orals | SSS6.8

Root Zone Soil Moisture dynamics from Terrestrial  Water-Energy Coupling across Indian Agroecological Regions 

Yeswanth Naidu Adigarla and Dr. Sarmistha Singh

Understanding root zone soil moisture dynamics across seasons is essential for improving land–atmosphere coupling estimates and drought monitoring.  Seasonal variability of soil moisture thresholds – the effective critical point (SWT) and effective wilting point (STD) and response (Λ) of root zone soil moisture dynamics to surface soil moisture observations are derived by adjusting the low pass filter parameter (Λ) across India's agroecological zones. Results show that SWT varies substantially across seasons and landscapes, controlled by soil texture, evaporative demand, and infiltration, while STD remains more physiologically constrained with limited spatial variability. We find that the driest regions (northwest India) exhibit the lowest thresholds (<0.12), while humid, forested zones (northeast India, Western Ghats) maintain the highest thresholds (~0.25–0.30) due to deeper soils and persistent vegetation. Seasonally, threshold (SWT) are lowest in the dry winter/premonsoon (JF–MAM) in arid areas and rise sharply during the monsoon (JJAS) when soils recharge, reaching maxima (> 0.30) under dense canopies. The analysis reveals that arid/semi-arid zones have very strong positive feedback in dry seasons ( Λ ≈ 0.8–1.0, m  ≈ 8–10), whereas humid/coastal regions remain largely decoupled (Λ ≈ 0.2–0.5, m ≈2–4) year-round. Correlation with SMAP Level-4 demonstrates strong agreement, with high values (>0.75) across most regions. Areas with lower agreement align with complex terrains and dense vegetation where vertical signal propagation is less coherent. Seasonal variation in the transitional slope (m) and LP filter parameter (Λ) further reveals dynamic coupling regimes that govern evapotranspiration control. These findings emphasize the need to incorporate seasonally adaptive thresholds and infiltration parameters in land surface modeling to better represent ecohydrological processes and surface flux feedbacks.

How to cite: Adigarla, Y. N. and Singh, Dr. S.: Root Zone Soil Moisture dynamics from Terrestrial  Water-Energy Coupling across Indian Agroecological Regions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16664, https://doi.org/10.5194/egusphere-egu26-16664, 2026.

EGU26-17481 | ECS | Posters on site | SSS6.8

Automated Filtering versus Moving Average in the Analysis of Automated Beerkan Infiltrometer Data 

Faye Waly, Orange Didier, Do Frederic, Roupsard Olivier, and Niang Awa

The use of the automated Beerkan infiltrometer (10.1016/j.compag.2015.09.022) represents an interesting alternative to the classical Beerkan infiltration test. The device enables the measurement of field infiltration rates at a higher temporal resolution than manually conducted tests. Although the infiltrometer can be easily implemented in the field and provides good measurement reproducibility, the analysis of raw experimental data requires appropriate processing to ensure reliable estimation of soil hydraulic parameters using the BEST algorithms.

The automated infiltrometer operates as follows. Water infiltrates at the soil surface, and when the water depth decreases below a given threshold, the Mariotte bottle of the infiltrometer is activated and allows an air bubble to enter the reservoir. Consequently, the increase in air pressure in the reservoir releases an amount of water. Under ideal conditions, monitoring of the air pressure in the system produces a piecewise-constant step function. Each plateau corresponds to a constant water height in the reservoir and is separated from the next by oscillations caused by the passage of the air bubble. Therefore, the signal must be filtered using appropriate filtering techniques in order to identify the points that properly define the cumulative infiltration curve. In the ideal case, the selected points should correspond to the end of each plateau, which defines the exact time at which the infiltrometer supplies water. However, in many cases the signal is noisy, making filtering a challenging task.

This study compares the performance of two mathematical approaches commonly used to process raw pressure transducer data: (i) an automatic filtering method based on first and second derivatives to detect plateaus (i.e., periods of constant water height in the reservoir), and (ii) the commonly used moving average technique. Experimental data collected on a well-structured, cultivated sandy soil in Senegal were used to assess the impact of the two filtering approaches on the determination of cumulative infiltration and on the estimation of saturated soil hydraulic conductivity (Ks) and soil sorptivity (S), using the three BEST algorithms (BEST-slope, BEST-intercept, and BEST-steady).

We expect that comparison of the cumulative infiltration curves obtained with the two methods will reveal discrepancies, and that the automated filtering approach will better preserve infiltration dynamics, as suggested by preliminary results. In contrast, the moving average method may excessively smooth the data, potentially leading to biased estimates of hydraulic parameters, particularly under conditions of strong capillary effects. A synthesis of the results from both methods will help identify the most appropriate filtering approach.

How to cite: Waly, F., Didier, O., Frederic, D., Olivier, R., and Awa, N.: Automated Filtering versus Moving Average in the Analysis of Automated Beerkan Infiltrometer Data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17481, https://doi.org/10.5194/egusphere-egu26-17481, 2026.

EGU26-19250 | ECS | Posters on site | SSS6.8

Sentinel-derived soil moisture retrievals during winter and summer cropping: Potential and limitations of S²MP 

Henri Bazzi, Marit Hendrickx, Nicolas Baghdadi, and Sami Najem

Field-scale soil moisture retrieval from Sentinel-1 synthetic aperture radar (SAR) is rather well established for bare soils, winter crops, and grasslands, but its applicability during summer cropping periods remains uncertain due to dense vegetation and complex vegetation structure. This study evaluates the potential and limitations of the Sentinel-derived soil moisture product (S²MP, El Hajj et al. (2017)), based on a neural network that uses Sentinel-1 VV backscatter and Sentinel-2 NDVI, for surface soil moisture estimation during summer cropping.

The first part of this study evaluates S²MP against in situ measurements at 10 cm depth over several winter and summer crops in a Mediterranean context (Bazzi et al., 2023). Results show that Sentinel-1 mainly senses the top few centimetres of soil, leading to strong underestimation in dry conditions (up to ~20 vol.%) and smaller biases under moderately wet conditions, while performance degrades again in very wet soils. Reliable soil moisture retrievals are limited to low–moderate vegetation cover (NDVI < 0.7), with crop-dependent biases under dense canopies, and accuracy improves at lower radar incidence angles (< 35°).

The second part analyses summer vegetable case studies in Flanders, comparing S²MP with in situ observations across irrigated and rainfed fields. S²MP successfully captures rainfall and irrigation signals during early growth stages and differentiates irrigated from non-irrigated areas, but performance under dense canopies strongly depends on crop type. Crops with complex canopy structures (e.g. beans podding stage, pumpkins) show reduced or inconsistent sensitivity, while onions and carrots retain detectable soil moisture dynamics even at high NDVI. These results demonstrate that NDVI alone is insufficient to characterise vegetation effects on SAR soil moisture retrievals and highlight the need for crop-specific parameterisation and complementary longer-wavelength SAR observations.

References:
El Hajj, M., Baghdadi, N., Zribi, M., & Bazzi, H. (2017). Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas. Remote Sensing 2017, Vol. 9, Page 1292, 9(12), 1292. https://doi.org/10.3390/RS9121292

Bazzi, H., Baghdadi, N., Nino, P., Napoli, R., Najem, S., Zribi, M., & Vaudour, E. (2023). Retrieving Soil Moisture from Sentinel-1: Limitations over Certain Crops and Sensitivity to the First Soil Thin Layer. Water 2024, Vol. 16, Page 40, 16(1), 40. https://doi.org/10.3390/W16010040

How to cite: Bazzi, H., Hendrickx, M., Baghdadi, N., and Najem, S.: Sentinel-derived soil moisture retrievals during winter and summer cropping: Potential and limitations of S²MP, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19250, https://doi.org/10.5194/egusphere-egu26-19250, 2026.

EGU26-19493 | ECS | Posters on site | SSS6.8

Soil thermal and moisture regime beneath forest canopy:  A coupled modeling approach 

Václav Steinbach, Michal Kuráž, and Marta Kuželkova

The interaction between water, vapor, and heat transport in soils plays a pivotal
role in regulating soil moisture and thermal regimes in forest ecosystems, yet
these processes are often modeled independently. Such approach may overlook
their inter-dependent dynamics, particularly under forest canopies where inter-
ception, evaporation, and energy exchange are strongly correlated. In this study,
a physics-based canopy interception model was developed and calibrated using
throughfall monitoring data from the AMALIA experimental site in central Bo-
hemia. The simulated intercepted rainfall is subsequently used as an upper
boundary condition for the Saito–Sakai model which couples the transport of
water, vapor, and heat in the soil profile. Surface energy balance was applied
as the thermal boundary condition, accounting for coupled heat and vapor ex-
change, while precipitation served as the moisture flux boundary. The model
was calibrated and validated against month-long soil temperature and moisture
measurements across three soil horizons, with meteorological forcing derived
from ERA5-Land hourly reanalysis data interpolated to match the observational
time step. Model performance demonstrated good agreement with observations,
successfully reproducing soil temperature and moisture dynamics beneath the
forest canopy and highlighted the importance of interception-induced delays of
rainfall inputs. Results demonstrate that neglecting canopy–soil interactions
can lead to biased estimates of near-surface soil states, particularly during wet-
ting and drying events. The proposed approach provides a physically consistent
link between canopy processes and subsurface thermal–hydrological dynamics
and can improve the representation of forest soil conditions in land-surface and
ecohydrological models.

How to cite: Steinbach, V., Kuráž, M., and Kuželkova, M.: Soil thermal and moisture regime beneath forest canopy:  A coupled modeling approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19493, https://doi.org/10.5194/egusphere-egu26-19493, 2026.

EGU26-21574 | Posters on site | SSS6.8

Combining Gamma Ray Sensing and Digital Technology for Soil Moisture and Soil Property Mapping: advancing integrated tools for sustainable soil management 

Hami Said, Mariko Fujisawa, Gerd Dercon, Claudio Jose Chagas, Daniel Francisco Palacios Fernández, Daozhi Gong, Gabriele Baroni, Jacques Bezuidenhout, Leticia Gaspar Ferrer, Majken Caroline Looms Zibar, Modou Modou, Syafiq Mohd Amin Mohamad, Nicola Mansfield, Peter Strauss, Virginia Strati, and William Blake

Soil health and moisture availability are critical for increased productivity and sustainable agricultural systems, particularly in the face of increasing environmental variability and land degradation. The Joint FAO/IAEA Centre Coordinated Research Project (CRP) D12015 brings together 12 Member States to advance gamma-ray spectrometry (GRS) as an innovative, non-invasive nuclear technique for high-resolution soil property mapping. The objective is to advance GRS integrated with digital and remote sensing technologies, such as drone and satellite imagery, environmental sensors, and machine learning, for precise and scalable mapping of soil properties including texture, organic carbon, nitrogen, and moisture. These efforts support the evaluation of erosion risk, improve resource efficiency, and strengthen resilient farming systems.

The first Research Coordination Meeting (Vienna, December 2025) established a clear roadmap for advancing GRS as a nuclear tool for soil monitoring. Key priorities include developing standardized and transferable protocols for GRS deployment and calibration across diverse agro-ecological zones, defining minimal datasets for robust conversion models, and validating both empirical and physics-based predictive approaches for soil physical properties and moisture. The CRP emphasizes the integration of GRS with complementary digital technologies, such as drone-based multispectral and thermal imaging, satellite remote sensing, and geospatial data fusion, to deliver high-resolution soil maps and decision-support tools.

Applications span three primary areas: (i) the synergistic use of stationary and mobile GRS for precision agriculture mapping, (ii) the fusion of GRS and remote sensing to support irrigation efficiency and drought resilience, and (iii) predictive soil property mapping using multi-sensor datasets and machine learning. Discussions highlighted the need for harmonized methodologies, transparent conversion of radionuclide signals to soil attributes, and rigorous uncertainty quantification to ensure reproducibility and trust in science-based GRS evidence. When implemented with rigor and data traceability, GRS offers a transformative pathway for Sustainable and Resilient Agriculture. Planned outputs include illustrated guidelines, validated case studies, and user-friendly decision-support platforms integrating GRS outputs with crop and water management models. These tools will strengthen Member State capacity to apply nuclear and digital technologies for sustainable soil management.

How to cite: Said, H., Fujisawa, M., Dercon, G., Jose Chagas, C., Palacios Fernández, D. F., Gong, D., Baroni, G., Bezuidenhout, J., Gaspar Ferrer, L., Zibar, M. C. L., Modou, M., Mohd Amin Mohamad, S., Mansfield, N., Strauss, P., Strati, V., and Blake, W.: Combining Gamma Ray Sensing and Digital Technology for Soil Moisture and Soil Property Mapping: advancing integrated tools for sustainable soil management, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21574, https://doi.org/10.5194/egusphere-egu26-21574, 2026.

EGU26-2729 | ECS | Orals | SSS6.10

Soils at Risk: How Fragmented Planning Undermines Soil Health in Ukraine’s Recovery 

Mariia Smirnova and Oleksandr Anisimov

Healthy soils underpin food security, climate resilience, and sustainable spatial development. International frameworks such as Land Degradation Neutrality and Sustainable Land Use Systems, alongside European initiatives including the Soil Monitoring and Resilience Law and the EU Soil Strategy, emphasise the need for sustainable land management. Despite this, policy implementation across countries and regions remains fragmented, resulting in the continued degradation of soil ecosystem functions. In Ukraine, these challenges are amplified by exceptionally high levels of land tillage (over 56% of the territory) and by the impacts of full-scale war, including blast craters, toxic contamination, destruction of soil structure, and landmines affecting hundreds of thousands of hectares. This study examines whether Ukraine’s existing planning system is capable of meaningfully integrating soil health considerations during post-war recovery and in the context of EU accession. We hypothesise that institutional weakness and a mismatch of planning priorities impede sustainable land use management. 

The methodology combines an analysis of national institutional conditions with planning case studies from three municipalities. It is supported by a review of international research on the alignment between national sustainable land use policies, requirements for local planning documentation, and their practical implementation, with particular attention to gaps between formal commitments and actual planning practices.

The analysis of municipal planning and land management shows that soils and surface plots are predominantly treated as economic assets, with limited assessment of their ecological functions. Ambitious national objectives on soil protection are weakened during local implementation, as planning documents tend to prioritise land-use decisions driven by short-term economic considerations. Existing control instruments—such as landscape planning components, Strategic Environmental Assessment, and public consultations are proven to be largely ineffective due to limited legal influence over landowners and developers, as well as persistent challenges in coordination and quality across planning levels.

This study identifies key causes and consequences of this approach. In frontline regions, immediate security concerns override long-term environmental objectives, while other municipalities lack the sufficient resources necessary to meet the complex requirements of legislation and implement measures envisaged by sustainable land management policies. 

The main barriers to treating soils as an integrated ecological system include institutional incapacity, formalistic planning procedures, fragmented responsibilities unsupported by adequate funding, and planning documentation structures that prevent ecological accounting of soil damage and functional change. Addressing these limitations would require a reframing of planning priorities, including cross-cutting recognition of soil health, stronger guidance for plan developers, and the attribution of both economic and factual value to soils within binding preliminary territorial analyses. Greater emphasis on incentivising land-use instruments, rather than control-based mechanisms, is particularly relevant given limited municipal capacity. In total, significant policy integration and re-orientation are necessary to achieve NNLT and soil degradation targets during Ukraine’s recovery.

How to cite: Smirnova, M. and Anisimov, O.: Soils at Risk: How Fragmented Planning Undermines Soil Health in Ukraine’s Recovery, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2729, https://doi.org/10.5194/egusphere-egu26-2729, 2026.

EGU26-4883 | Posters on site | SSS6.10

Assessing and mapping the agricultural potential of landscapes. Case study: Southeastern part of the Republic of Moldova 

Ioana Chiriac, Angela Cantir, Olga Crivova, Stela Curcubat, Ghennadi Sirodoev, George-Marius Cracu, Gabriela Nicoara, Mirela Paraschiv, Andrei Schvab, George Secareanu, Natasa Vaidianu, and Igor Sirodoev

In the context of EU sustainable farming practices, the ensuring that agricultural activities are aligned with the natural capacities and ecological processes of the land become increasingly important. It highlights the necessity to identify areas that are most friendly to sustainable agricultural activity. As part of the transboundary research project The impact of European agricultural policies on land use: Romania's experience and lessons for the Republic of Moldova in a European perspective – MapLURoMd, this study aims to create a synthetic map for the key study area based on erosion potential of the relief, types of soil and lithology. As a result, an agricultural potential map will be generated that characterizes landscape units according to their relative suitability for agricultural use. This map will be compared with existing land-use data (CORINE 2023) and orthophoto (2016) to evaluate the alignment between landscape suitability and current agricultural practices. The results of this spatial analyse of landscape conditions using GIS technologies in the Southeastern part of the Republic of Moldova will provide valuable insights to inform Moldova's agricultural policy, particularly in the context of optimizing land use in rural areas.

How to cite: Chiriac, I., Cantir, A., Crivova, O., Curcubat, S., Sirodoev, G., Cracu, G.-M., Nicoara, G., Paraschiv, M., Schvab, A., Secareanu, G., Vaidianu, N., and Sirodoev, I.: Assessing and mapping the agricultural potential of landscapes. Case study: Southeastern part of the Republic of Moldova, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4883, https://doi.org/10.5194/egusphere-egu26-4883, 2026.

EGU26-5171 | ECS | Orals | SSS6.10

Developing a hybrid green roof: A rooftop solution for wastewater treatment 

Marek Petreje, Razbar Wahab, and Michal Snehota

Urban areas face increasing challenges from climate change, particularly the urban heat island (UHI) effect and water scarcity. Green roofs are effective adaptation measures, but their benefits in terms of cooling decrease during droughts without additional irrigation. Using potable water for irrigation is unsustainable; thus, recycling greywater or pre-treated wastewater represents an ideal alternative. This study presents the Hybrid Green Roof (HGR), an innovative nature-based solution (NBS) that integrates a modular rooftop constructed wetland (CW) with a semi-intensive green roof (GR).

The circular HGR system enables efficient wastewater recycling at the point of origin, reducing potable water consumption while enhancing the cooling effect of vegetation through evapotranspiration of recycled water. The research progressed from elevated experimental plots to a full-scale prototype at the CTU UCEEB (Czech Technical University in Prague, University Centre for Energy Efficient Buildings in Bustehrad). The system architecture consists of mechanically pre-treated wastewater pumped into modular plastic flumes acting as the CW. These modules are filled with lightweight ceramic aggregate and planted with wetland vegetation. Pre-treated water then overflows onto the green roof. The GR utilizes the "reBrick" circular substrate, containing 25% recycled construction waste and 10% pyrolyzed sewage sludge (biochar), significantly reducing its environmental footprint and supplementing fertilization. Water distribution from CW to GR is managed by an outflow module equipped with a pulse dosing system that supplies a hydrophilic mineral wool layer in GR, making water available to plants via capillary forces. For experimental purposes, the green roof is divided into three different sectrors that vary in substrate thickness and vegetation above the mineral wool. The following combinations are being tested: 4 cm of substrate and sedum seedlings; 4 cm of substrate and 3 cm thick grass mats; and 4 cm of substrate with 3 cm thick biodiverse vegetation mats with perennials.

The temperature and humidity are measured in all green roof sectors. A water meter is used to monitor the volume of water flowing into the CW, and the level in the last CW module is monitored to measure the volume of water overflowing from the CW into the GR. This allows the water balance of the system to be calculated.

Long-term monitoring confirmed high stability and efficiency. Chemical analysis showed average pollutant removal efficiencies of 90% for Chemical Oxygen Demand (COD), 99% for Total Nitrogen (TN), and 96% for Total Phosphorus (TP). While the CW provides primary treatment, the green roof layer acts as a crucial tertiary stage, eliminating remaining nutrients without excessive leaching. The HGR is a promising technology for sustainable urban water management, closing both water and material cycles. Ongoing research focuses on optimizing CW flume design to enhance aerobic processes and refining hydraulic parameters to ensure stability under extreme climatic conditions.

How to cite: Petreje, M., Wahab, R., and Snehota, M.: Developing a hybrid green roof: A rooftop solution for wastewater treatment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5171, https://doi.org/10.5194/egusphere-egu26-5171, 2026.

EGU26-5490 | Orals | SSS6.10

Evaluation and compensation system for soils in spatial planning - Bodenwertverfahren 

Barbara Birli, Sigbert Huber, and Ricarda Miller

As soil provides a large range of ecosystem services, it should be of high priority to protect them in the environment. Soil protection faces the challenge of urban sprawl and land take by roads and buildings. Thus, soil protection aims at avoiding or minimizing, or, where this is not possible, mitigating or compensating land take and soil sealing. Furthermore, it is crucial to consider the soil quality in current and future development to avoid the use of high-performance soils. Therefore, the functions and services of soil should be considered in spatial planning.

In order to develop an evaluation tool which allows an assessment of soil destruction as well as proposals for the mitigation and compensation measures the three main topics

i current status of and impact on soil functions,

ii intensity of the modification of the soil by construction and the

iii monetary evaluation of the required compensation

were combined to develop a tool called “Bodenwertverfahren”. While the costs of compensation have to be elaborated in a separate step, the excel-based evaluation tool combines the status of soil functions, evaluation of the intensity of the modification of the soil by construction and the required compensation. In addition, the impact of mitigation measures can be assessed.

The tool can be used for both the evaluation of impacts and the compensation of soil destruction by any infrastructure and may be applied in any planning process such as Strategic and Environmental impact assessment. In future it may provide a basis for inclusion of soil compensation in legal requirements or regulations for spatial planning.

Permanent land use can thus be compensated, e.g. by upgrading degraded soils or by unsealing and restoring soils and soil functions elsewhere. The compensation of soil sealing and soil destruction based on soil functions in cases of unavoidable soil sealing is a significant contribution to the long-term European Union goal to move closer to net-zero land use by 2050.

How to cite: Birli, B., Huber, S., and Miller, R.: Evaluation and compensation system for soils in spatial planning - Bodenwertverfahren, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5490, https://doi.org/10.5194/egusphere-egu26-5490, 2026.

EGU26-7993 | Orals | SSS6.10

Rhizosphere engineering for soil carbon sequestration 

Yakov Kuzyakov and Chaoqun Wang

The rhizosphere is the central hotspot of water and nutrient uptake by plants, rhizodeposition, microbial activities, and plant-soil-microbial interactions. The plasticity of plants offers possibilities to engineer the rhizosphere to mitigate climate change. We define rhizosphere engineering as targeted manipulation of plants, soil, microorganisms, and management to shift rhizosphere processes for specific aims [e.g., carbon (C) sequestration]. The rhizosphere components can be engineered by agronomic, physical, chemical, biological, and genomic

approaches. These approaches increase plant productivity with a special focus on C inputs belowground, increase microbial necromass production, protect organic compounds and necromass by aggregation, and decrease C losses. Rhizosphere engineering focus on the accumulation and stabilization of C in the soil either directly or indirectly through: (i) raising root-derived C inputs; (ii) increasing the production of microbial biomass and necromass; and (iii) enhancing C stabilization in the soil. Rhizosphere engineering is crucial to manage rhizodeposition, microbial activities, and plant–soil–microbial interactions, and thus soil C sequestration under global change and human impacts. Finally, we outline multifunctional options for rhizosphere engineering: how to boost C sequestration, increase soil health, and mitigate global change effects.

How to cite: Kuzyakov, Y. and Wang, C.: Rhizosphere engineering for soil carbon sequestration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7993, https://doi.org/10.5194/egusphere-egu26-7993, 2026.

EGU26-8536 | Posters on site | SSS6.10

Development of a Chemical Accident Inverse Tracking Framework for River Systems Using Generative Artificial Intelligence 

Yunchang Heo, Seohun Uhm, Hoseok Ko, Woogyeong Seo, Minkyeong Seong, Jaehoon Yeom, Heewon Jeong, and Kyung Hwa Cho

Accelerating urbanization has made toxic chemical sources in river systems increasingly complex, making their identification and control progressively more challenging. Toxic chemical source tracking is essential for rapid emergency response and effective water quality management. Existing source tracking approaches, such as statistical methods, numerical models, and deep learning, face critical limitations. Statistical methods have limitations in capturing the non-linear transport dynamics and causality of toxic chemicals in river systems. Numerical models require high computational cost and time to achieve high accuracy, while deep learning models suffer from critical data scarcity, as actual toxic chemical accident datasets are limited. This study aims to develop a hybrid framework that combines the high accuracy of numerical models with the computational efficiency of deep learning-based generative artificial intelligence, specifically a Generative Adversarial Network (GAN), enabling near real-time inverse tracking of chemical accidents. To generate training data for the GAN model, we established an automated scenario generation algorithm coupled with the Environmental Fluid Dynamics Code (EFDC), a three-dimensional hydrodynamic and water quality model. For the Geum River basin in South Korea, we conducted EFDC simulations under scenarios varying in source locations, release amounts, and spill timing for phenol, generating a high-quality synthetic dataset. The synthetic dataset is used to train a GAN for inverse problem solving. During training, the Generator learns to map upstream source information to downstream toxic concentration time series, while the Discriminator evaluates whether the generated source-concentration pairs are consistent with EFDC transport mechanisms. In this process, the Generator aims to produce realistic downstream concentration time series to deceive the Discriminator, whereas the Discriminator aims to distinguish these generated outputs from the synthetic training data. Through this adversarial mechanism, the Generator progressively produces more refined downstream concentration time series. In the event of a real chemical accident, the trained GAN model enables rapid inference of the corresponding source information from observed downstream concentrations through inverse problem solving, without the need for iterative numerical simulations. This approach is expected to overcome the limitations of high computational cost in numerical models and data scarcity in deep learning. This rapid inverse tracking framework provides sufficient time to effectively respond to chemical accidents and helps protect critical downstream infrastructure such as drinking water treatment plants from toxic chemicals.

How to cite: Heo, Y., Uhm, S., Ko, H., Seo, W., Seong, M., Yeom, J., Jeong, H., and Cho, K. H.: Development of a Chemical Accident Inverse Tracking Framework for River Systems Using Generative Artificial Intelligence, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8536, https://doi.org/10.5194/egusphere-egu26-8536, 2026.

Urban Community Resilience (UCR) refers to the capacity of local communities to respond to and recover from complex urban crises. Green infrastructure (GI) is an infrastructure system that mitigates urban environmental problems and promotes community health. Especially, Small-scale GI can overcome spatial constraints in dense cities and be closely integrated into daily living environments, thereby contributing to the enhancement of UCR. However, despite increasing application, empirical studies evaluating its impacts on resilience remain limited, and GI designs that fail to reflect user needs may act as constraints on strengthening UCR.

This study aims to clarify the relationships between GI and UCR and to derive community-centered design strategies for small-scale GI to enhance UCR. Through a system-based analysis, key variables influencing UCR enhancement are identified, and the perception structures across different community groups are analyzed. Path coefficient analysis is then conducted to verify the significance of perception-change pathways for each group. Finally, perception gaps across stakeholder groups are comparatively analyzed to derive integrated design strategies.

This study focuses on the “72-Hour Urban Regeneration Project,” a citizen-participatory initiative in which small-scale GI is designed and constructed through public engagement and examines perception differences between designer and user groups. The analysis proceeds in three stages. First, a Causal Loop Diagram (CLD) is constructed based on indicators derived from previous studies to identify key variables and feedback structures between GI and UCR, and PLS-SEM models are developed for each community group based on these key variables. Second, path coefficients are estimated and their statistical significance is tested using group-specific survey data. Third, significant perception pathways are compared and analyzed to derive design strategies for small-scale GI implementation.

The analysis results indicate that GI improves quality of life through environmental benefits and enhances UCR by expanding social capital through community participation and network formation. Especially, place attachment was identified as a pivotal mediating variable that fosters emotional bonds through satisfaction with place-based experiences and encourages sustained participation, thereby continuously strengthening UCR. Based on the survey results, path coefficient analysis showed that GI experience enhanced UCR in both groups; however, differences in participation patterns and levels of temporal exposure led to variations in the significance of relationships among variables. While designers’ experiences in creating GI spaces induced place attachment and strengthened participation, users with intermittent exposure lacked sustained social interactions, which weakened pathways from attachment to participation due to a lack of social connections, which limited the enhancement of UCR. Therefore, the results indicate the need for design strategies that encourage repeated experiences and sustained visitation by users.

This study identified perception differences between designers and users in a Seoul-based public project and structurally analyzed relationships among key variables to derive small-scale GI design strategies for enhancing UCR. Perception gaps between groups arise from differences in use patterns, time exposure, and related factors, indicating the potential for unmet user needs. Therefore, this study emphasizes the necessity of establishing design strategies that address user demands, promote continuous participation, and ultimately contribute to strengthening UCR.

How to cite: Cho, D., Bi, J., and Lee, J.: Bridging the Perception Gap: Enhancing Urban Community Resiliencethrough Small-Scale Green Infrastructure Design in Seoul, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8594, https://doi.org/10.5194/egusphere-egu26-8594, 2026.

EGU26-9722 | Orals | SSS6.10

A co-developed model policy for integrating soil sustainability into local planning in England 

Jess Davies, Mirian Calvo, John Quinton, Susanna Dart, Paul Hatch, and Birgit Höntzsch

The role of soils in underpinning healthy and resilient urban environments is often overlooked during the planning and construction process. Recognising soils as living systems and finite, non-renewable resources – rather than merely construction substrates or material to be disposed of – is essential for climate resilience, biodiversity and environmental health, and community well-being. Achieving this requires that soil considerations are holistically embedded from the outset of spatial and urban planning, shaping how places, spaces, and buildings are designed, delivered, and managed.

In the UK, Local Planning Authorities (LPAs) are well placed to lead this change. Through their local plans, LPAs can emphasise the importance of good soil management and give clear direction for how soils should be protected and managed throughout the development lifecycle, from design to long-term use. In practice, however, soils remain weakly represented in planning policy. Addressing this gap requires the integration of soil science with planning expertise and the practical knowledge of the diverse actors who interact with soils during development.

Building on the work of the UK’s cross-sector Soils in Planning and Construction Task Force, the Local Soils Project, led by Lancaster University in collaboration with Lancaster City Council and Cornwall Council, to make soil sustainability an integral part of the English planning system. The project co-developed a model soil planning policy to support LPAs across England in embedding soil protection, enhancement, and management within policy frameworks and decision-making.

Through extensive cross-sector engagement and participatory design involving over 50 experts from national and local government, development and construction, environmental organisations, and soil science, the project produced a practical and implementable model policy. The resulting approach reflects both the scientific significance of soils and the institutional and operational realities of local planning.

This contribution presents key elements of the Local Soils Model Policy, outlines the interdisciplinary co-design process, and shares insights from this UK-based initiative that may be relevant to planners, policymakers, and researchers working in other European planning contexts where similar challenges around soil governance and urban development exist.

 

To access the model policy please visit our website: https://www.soilstaskforce.com/reports

How to cite: Davies, J., Calvo, M., Quinton, J., Dart, S., Hatch, P., and Höntzsch, B.: A co-developed model policy for integrating soil sustainability into local planning in England, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9722, https://doi.org/10.5194/egusphere-egu26-9722, 2026.

EGU26-10781 | ECS | Posters on site | SSS6.10

Integrated GIS- and multicriteria-based methodology for siting municipal solid waste landfills: application to Riobamba (Ecuador) 

Laura Valeria Banda Jorge, María-Elena Rodrigo-Clavero, Claudia-Patricia Romero-Hernández, and Javier Rodrigo-Ilarri

Municipal solid waste management is a major challenge for spatial planning due to its links with population growth, changing consumption patterns, and associated environmental impacts. In settings where final disposal remains a structural component of the system, the limited capacity of existing sites and their proximity to end-of-life make it necessary to plan new alternatives. In this context, landfill siting is critical to minimize risks to soils and water resources, reduce social impacts, and ensure operational and economic feasibility.

This work develops and applies an integrated, adaptable, and replicable methodology based on Geographic Information Systems (GIS) and multicriteria analysis for selecting landfill sites using technical, environmental, and territorial criteria. The approach is applied to the city of Riobamba (Ecuador), a high-mountain Andean environment characterized by strong physical–environmental heterogeneity, where planning requires traceable and consistent technical support, particularly to avoid locating facilities in areas vulnerable from edaphic and hydrological perspectives.

The methodology is structured in four stages: (i) compilation of geographic information from local and global sources; (ii) processing, cleaning, reprojection, and standardization of layers to ensure spatial consistency; (iii) definition and classification of exclusion and inclusion criteria into categories and subcategories, incorporating a critical review based on regulations and the characteristics of the study area; and (iv) multicriteria evaluation through weight assignment to produce a suitability map and prioritize the most favorable areas.

The outcome is a transferable methodology that provides technical traceability to the selection process and can be adjusted to different territorial conditions and data availability. It is intended as a decision-support tool for spatial design and planning focused on soil and water protection, contributing to more transparent decision-making in integrated solid waste management.

How to cite: Banda Jorge, L. V., Rodrigo-Clavero, M.-E., Romero-Hernández, C.-P., and Rodrigo-Ilarri, J.: Integrated GIS- and multicriteria-based methodology for siting municipal solid waste landfills: application to Riobamba (Ecuador), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10781, https://doi.org/10.5194/egusphere-egu26-10781, 2026.

This study presents a five-year experimental investigation conducted within the Horizon Europe project NBSINFRA on a bioretention cell located at the University Centre for Energy Efficient Buildings of the Czech Technica University in Prague. The system was constructed as a multilayer system comprising a biofilter layer, a sand layer, and a drainage layer, and planted with perennial vegetation (Aster novae-angliae, Hemerocallis, Molinia caerulea and Eupatorium 'Phantom'). The biofilter consisted of 50% sand, 30% compost, and 20% topsoil. The bioretention cell was connected to roof of neighboring building and hydraulically isolated from the surrounding soil using a waterproof membrane to allow for water balance monitoring and equipped with a set of monitoring sensors. Soil water content within the biofilter was measured using four Time Domain Reflectometry (TDR) probes, while five tensiometers were installed to record soil water potential. Outflow from the bioretention cell was measured by a tipping-bucket flowmeter, and inflow was estimated from precipitation using a rain gauge.

Over the five-year monitoring period, the study analysed water balance, biofilter water regime, and vegetation development to investigate their influence on water retention and detention in the bioretention cell. Rainfall–runoff episodes were analysed individually to quantify changes in episodic runoff coefficients, peak flow reduction, and runoff delay, and a semi-quantitative approach was applied to assess the effect of inter-annual vegetation development on evapotranspiration. Hydrological modelling was performed using two-dimensional simulations in HYDRUS 2D/3D, solving the Richards equation for variably saturated flow. The model represented vertical water flow through the multilayer bioretention profile, including infiltration from roof inflow and direct precipitation, drainage outflow, evapotranspiration, and root water uptake with a time-evolving root zone. Simulations focused on three representative 14-day study periods in August 2019, 2020, and 2023, selected to ensure comparable initial conditions and vegetation states. Model calibration and evaluation were based on measured outflow and pressure head dynamics. Parameter sensitivity was assessed using an informal Bayesian framework (GLUE) combined with Latin Hypercube Sampling, focusing on soil hydraulic parameters of the biofilter and sand layers.

The results showed a gradual decrease in the episodic and annual runoff coefficient over time, mainly driven by increasing inter-annual evapotranspiration and lower initial biofilter saturation at the beginning of rainfall events. Peak flow reduction ranged from 30% to 100%, with a median value of 88%, while runoff and peak runoff delays exhibited median values of approximately 30 and 56 minutes, respectively, with increasing variability in later years. Hydrological modelling and sensitivity analysis identified the saturated hydraulic conductivity of the sand layer and the van Genuchten parameter of the soil water retention curve n of the biofilter as the most influential parameters. Simulation results further indicated a decline in saturated hydraulic conductivity in both the biofilter and sand layers with the aging of the bioretention system. However, these changes did not impair the overall hydrological performance of the bioretention cell.

How to cite: Maresova, P. and Snehota, M.: Five years evolution of hydraulic properties of engineered soil of experimental bioretention cell planted with perennials, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10861, https://doi.org/10.5194/egusphere-egu26-10861, 2026.

EGU26-11065 | ECS | Posters on site | SSS6.10

Thermal and Water Regimes of Soils of Urban Nature-Based Solutions in Central European Context 

Pavlína Žatecká, Licia Felicioni, Petra Marešová, Marek Petreje, and Michal Sněhota

Nature-based solutions (NbS), particularly engineered urban green infrastructure systems, increasingly represent a key pathway for enhancing urban and landscape resilience to climate change by addressing heatwaves, flooding, and water stress. Their effectiveness, however, strongly depends on soil hydraulic properties, and soil–water–vegetation interactions. This contribution presents an integrated case study from the Prague City Lab within the Horizon Europe project NBSINFRA, focusing on the role of engineered soils and long-term soil monitoring in the performance of NbS under real urban conditions.

The Prague City Lab consists of three contrasting urban sites representing peri-urban, dense inner-city, and community-oriented environments. Implemented NbS include extensive and ultra-thin green roofs, hybrid green roof–constructed wetland systems, and bioretention cells designed with engineered soil profiles. These systems incorporate layered substrates with controlled grain size distribution, organic amendments, mineral components, and recycled materials to optimize water retention, infiltration, and thermal performance. Climate analyses identified extreme heat and heatwaves as the dominant hazards affecting all sites, with intense rainfall events representing an additional stressor for urban drainage systems.

The methodological approach combines soil engineering principles, hydrological monitoring, and ecological assessment, with monitoring intensity tailored to the type of NbS. Bioretention cells and hybrid systems are instrumented for detailed observation, including near-surface and substrate temperatures, soil moisture, and water balance components. In contrast, green roofs and other NbS are monitored at a basic level using standalone automated sensors to capture substrate and near-surface temperature and water content. Laboratory analyses of substrate properties, including retention curves and grain size distribution, complement in situ measurements. Soil–water–plant interactions are further evaluated through long-term observation of plant development and evapotranspiration effects. In parallel, systematic vegetation surveys document plant species composition and ecological roles across green roofs and ground-level NbS. All datasets are stored in a centralized database, enabling consistent analysis and the development of resilience indicators.

Overall, the Prague City Lab demonstrates how integrating soil engineering principles with NbS design contributes to the resilience of urban green infrastructure.

How to cite: Žatecká, P., Felicioni, L., Marešová, P., Petreje, M., and Sněhota, M.: Thermal and Water Regimes of Soils of Urban Nature-Based Solutions in Central European Context, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11065, https://doi.org/10.5194/egusphere-egu26-11065, 2026.

EGU26-11384 | ECS | Posters on site | SSS6.10

Post-fire erosion control: monitoring the effects of soil bioengineering techniques 

Annunziata Fiore, Giovanni Romano, Miriam Chiarulli, Francesco Vito Ronco, Giovanni Francesco Ricci, and Francesco Gentile

Forest fires significantly increase susceptibility to soil erosion, primarily due to the loss of vegetation cover and alterations in soil hydrophysical properties, including reduced infiltration capacity and increased surface runoff. The processes that occur can have significant economic, ecological and socio-cultural impacts. Mediterranean environments are particularly susceptible to erosion due to the combination of climatic, pedological, and geomorphological factors, including rainfall patterns, soil physical and structural characteristics, land use, topography, and fire occurrence. Furthermore, the climate change scenarios currently in place are set to accentuate erosion rates in areas affected by fires. In this context, soil bioengineering interventions represent effective low environmental impact mitigation strategies for the reduction of post-fire erosive processes.

The study aims to understand the effects of post-fire through the application of targeted intervention strategies such as soil bioengineering techniques. This study allows to explore deeper into the effects of carrying out a pilot soil bioengineering intervention within the 1900-hectare wooded area “Bosco Difesa Grande” located in Gravina in Puglia (Bari, Italy), where a fire of 1170 hectares was recorded on 12/08/2017, and to analyze the restoration of the soil development capacity of some selected species. Between 2022 and 2023, interventions were carried out in two equally sized areas located along slopes with the same general conditions (slope, soil type, fire severity), except for exposure. Various works were carried out, such as the construction of a trellis, the removal of weeds, the construction of palisades and wattles, and the planting of native shrubs and tree species.

A monitoring plan was planned, through field activities during which counts of surviving live plants were carried out, and using satellite imagery to assess the average NDVI of the area, to understand the effects of the soil bioengineering interventions carried out. Two years later, the two areas have recorded different results: in area 1, the survival rate has reached approximately 87%, while in area 2, spontaneous plants have a very intense development that prevents the correct development of project plants. Regarding NDVI values, a mean increase was detected in both areas.

How to cite: Fiore, A., Romano, G., Chiarulli, M., Ronco, F. V., Ricci, G. F., and Gentile, F.: Post-fire erosion control: monitoring the effects of soil bioengineering techniques, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11384, https://doi.org/10.5194/egusphere-egu26-11384, 2026.

EGU26-14635 | ECS | Posters on site | SSS6.10

Review study of current soil assessment tools and methods with a potential of integration in spatial planning in EU 

Teodora Todorcic Vekic, Yevheniya Volchko, and Jenny Norrman and the SPADES project consortium

Abstract

Achieving the EU’s soil health targets by 2050 requires bridging the gap between planners and soil experts through better use of existing soil inventories and decision-support tools. While planners and soil experts in most countries employ GIS-based platforms and national soil databases, challenges persist, including fragmented and outdated data, limited access to high-resolution information, and tools requiring specialised expertise.

This study reviews existing soil assessment tools and methods across multiple European countries, including those from the SPADES consortium (Sweden, France, the Netherlands, Belgium, Germany, Austria, Italy, Slovenia, Hungary, Romania). The aim is to identify current practices, gaps, and priorities to ensure a better integration of soil in planning. Data on soil assessment tools and methods currently used by soil experts and/or planners in their practices were collected through series of interviews, workshops and surveys of consortium members and relevant actors to build a large inventory.

The results show a lack of integrated, user-friendly solutions that consolidate dispersed datasets, for simplified interpretation for non-specialists, and for embedded soil considerations into planning and governance frameworks. Key priorities include centralised GIS-based soil databases, parcel-level screening tools, decision-support systems for ecological transition, and dashboards for awareness-raising among officials and the public. To address soil and planning challenges—such as climate adaptation, biodiversity, and land take including soil sealing, the study proposes a systematised portfolio of existing soil instruments to guide planners, policymakers, and land managers in sustainable soil-inclusive practices from strategic to operation.

This portfolio will be made available to SPADES pilots, and further adapted to generic user needs through an online webtool called Navigator, fostering mutual capacity building between planners and soil experts. Ultimately, these efforts aim to improve soil literacy, support the provision of the soil ecosystem services, and enable the transition toward soil-inclusive spatial planning, contributing to EU sustainability and Soil Mission objectives.

Keywords: soil assessment, spatial planning, data, decision-support

How to cite: Todorcic Vekic, T., Volchko, Y., and Norrman, J. and the SPADES project consortium: Review study of current soil assessment tools and methods with a potential of integration in spatial planning in EU, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14635, https://doi.org/10.5194/egusphere-egu26-14635, 2026.

EGU26-15968 | ECS | Posters on site | SSS6.10

A 3D Planting Structure-Based Scenario Strategy to Mitigate Seasonal Instability of Urban Green Phenology and Gaps in Pollination Functions 

Soohyun Lee, Yeahyun Jin, Doyun Kim, Yerin Shin, Daehee Cho, and Junga Lee

Honeybees are widely recognized as representative pollinator species due to their high pollination efficiency and frequent visitation. However, climate warming intensifies temporal mismatches between plant flowering and insect activity, resulting in seasonal resource gaps for foragers and weakened ecological networks. Urban landscape, in contrast, can provide substantial opportunities to create habitats and movement corridors through strategic planting and adaptive management.

This research proposes a node-based urban planting scenario framework to reduce seasonal phenological asynchrony and evaluate outcomes across micro- and macro-scale. Unlike previous studies that have assessed habitat suitability primarily based on the presence or area of green spaces, we focus on habitat usability for pollinators by explicitly considering (i) continuity of flowering resources and (ii) multidimensional planting structures with vertical, horizontal, and temporal differentiation. We further examine how these planting strategies can co-deliver microclimatic regulation and broader landscape-scale ecosystem service outcomes.

This case study targets on Eunpyeong-gu and Mapo-gu in Seoul, South Korea, where forest, urban, and river systems are spatially continuous but are not effectively functioning as habitats or movement corridors. Using GIS, we identify key patches that can support movement and seasonal functional turnover; these patches are treated as nodes and assembled into a connectivity network. Planting strategies are then designed along three dimensions: (1) vertical multilayer vegetation to diversify strata and microhabitats, (2) horizontal linear/areal expansion to improve stepping-stone connectivity, and (3) temporal phenology-based planting to extend flowering continuity. Strategies are applied to forest-, urban-, and river-type patches. Microclimatic effects are simulated using ENVI-met, while landscape-scale functional connectivity and ecosystem service implications are assessed using InVEST.

Patches were selected by considering honeybee flight range, inter-patch distance and size, and the seasonal distribution of flowering plants. Among typology-specific planting strategies, forest-type patches benefited from vertical planting, which enhanced understory flowering and provided refuge for survival. Urban small-scale plantings showed high pollination efficiency, but high impervious surfaces necessitated securing horizontal connectivity essential for addressing seasonal asynchrony. In river-type patches, continuous buffer planting enhanced mobility, while connectivity with adjacent ground-level green spaces remained a critical consideration. Macro-scale scenario analysis showed that integrating typology-specific optimal planting strategies strengthened the connectivity index by increasing mobility and access to alternative resources across the forest–urban–river continuum, beyond alleviating micro-scale food gaps. These outcomes have implications not only for managed honeybees but also for broader pollinator communities that depend on temporally continuous floral resources.

Overall, this research redefines honeybee habitat conservation from a multi-scale spatial organization perspective that incorporates behavioral characteristics and temporal resource use. The proposed framework explicitly links phenological gaps to landscape connectivity—rather than green space extent—offering a transferable NbS-informed approach for designing urban green networks that stabilize seasonal resources while supporting co-benefits.

Following are results of a study on the "Convergence and Open Sharing System" Project, supported by the Ministry of Education and National Research Foundation of Korea

How to cite: Lee, S., Jin, Y., Kim, D., Shin, Y., Cho, D., and Lee, J.: A 3D Planting Structure-Based Scenario Strategy to Mitigate Seasonal Instability of Urban Green Phenology and Gaps in Pollination Functions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15968, https://doi.org/10.5194/egusphere-egu26-15968, 2026.

EGU26-16542 | Orals | SSS6.10

Examples of spatial digital information on soil for urban planning 

Cecile Le Guern, Flora Lucassou, Amazigh Ouaksel, Simon Gautier, and Blandine Clozel

Soil provides many ecosystem services like the regulation of climate and water cycle. It supports biodiversity but also human activities. In urban areas, soils are often sealed, thus affecting their health. In order to preserve natural, agricultural, and forest soils, the Europe's 'No Net Land Take' (NNLT) policy aims to limit artificialisation. The transcription of this target in the French regulation is based on soil functioning, promoting its integration in planning documents. The poor knowledge on urban soils is however a gap. The following examples on soil infiltration, multifunctionality and pollution from western France illustrate the possibility to build spatial knowledge on the basis of existing data.

Soil infiltration capacity may be assessed in different ways (Lucassou et al., 2025). The Phoebus method considers various parameters such as the relative permeability of pedogeological units, clay content, hydromorphism and the depth of the groundwater table. Its application on Nantes Metropolis and Rennes Metropolis provided maps used to build some urban planning rules regarding rainwater management to reduce flooding linked to runoff. It is also used to elaborate desealing or renaturation strategies, or as an input to soil multifunctionality.

Adaptation of the French MUSE method (Branchu et al., 2021) carried out within the DESIVILLE and QUASOZAN projects allow the assessment of urban soil multifunctionality. The biodiversity and carbon storage capacities are based on correlations with land uses available at a national and pedoclimatic scale, respectively. The soil infiltration capacity is based on the Phoebus method. The agronomic potential of soils is based on the regional soil map and associated soil characteristics stored in a national database. In urban areas with no soil maps, this function s assessed in a qualitative way. The assessed soil multifunctionality map, obtained by crossing the four soil function indices, helped Nantes Métropole to update the areas identified in the urban planning zoning as open to urbanisation. Soil multifunctionality improvement is also considered as a benefit of desealing (DESIVILLE, PERMEPOLIS). Rennes Metropolis is testing its integration in a tool helping to build urban planning strategies achieving No Net Land Take and Land Degradation Neutrality (LDN) together.   

Mapping soil pollution hazards carried (DESIVILLE, QUASOZAN) considers various potential sources of pollution like former industrial activities, anthropogenic deposits, and agricultural activities. Further methodological developments on anthropogenic deposits mapping are in progress (PERMEPOLIS). Soil pollution hazard map is used as an informative layer to alert on pollution pressure, for desealing scenarios by Nantes Métropole or for NNLT and LDN urban planning scenarios by Rennes Métropole. The pedogeochemical background, in progress on Nantes Métropole territory (NEO-SOLOCAL) based on soil analyses, is going to give information on diffuse contamination.

Even if the knowledge on urban soils is limited, some GIS layers may be produced to raise awareness on soils and identify problem areas where more precise knowledge is needed. The banking of soil data is necessary to build a common and shared knowledge on soils. Better urban subsurface knowledge is also essential to build a more precise knowledge on urban soils.  

How to cite: Le Guern, C., Lucassou, F., Ouaksel, A., Gautier, S., and Clozel, B.: Examples of spatial digital information on soil for urban planning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16542, https://doi.org/10.5194/egusphere-egu26-16542, 2026.

In the face of increasing climate hazards and the growing complexity of urban environments, soils emerge as a key interface between water, vegetation, infrastructure and human uses. Their role goes far beyond that of a simple support: soils condition hydrological functioning, environmental quality, the adaptive capacity of developed spaces, and the long-term sustainability of projects. Yet, in many urban and peri-urban contexts, soils remain insufficiently integrated into design and management processes.

This presentation will present feedback from scientists and engineers involved in urban development, regeneration and environmental management projects. Drawing on several concrete case studies, it illustrates how an integrated diagnostic approach to soils, water and land use can guide the design of more resilient projects, from the planning stage through to operational implementation.

The examples cover a wide range of situations: the rehabilitation of degraded or contaminated soils, the creation of engineered soils from secondary materials, integrated stormwater management using vegetated systems, and the design of growing media capable of functioning sustainably under high urban constraints. These projects demonstrate how operational choices based on the physical, chemical and biological properties of soils can simultaneously address issues of water management, environmental quality and ecological functionality.

Particular attention is given to the way these parameters are translated into operational design criteria: infiltration and storage targets, the ability of soils to filter or immobilize contaminants, their capacity to support diverse vegetation, and their compatibility with structural and use-related constraints. The monitoring and evaluation methods implemented to verify the long-term performance of these systems are also discussed.

By offering a cross-cutting perspective on the role of soils in urban projects, this contribution aims to show how soil engineering and nature-based solutions can be integrated in a coherent and pragmatic way into real-world operations, and how these approaches help to build more adaptive, functional and resilient urban landscapes.

How to cite: Elfarricha, S. and Plassart, G.: Operational integration of soil engineering and nature-based solutions in urban environments: feedback from an engineering consultancy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16774, https://doi.org/10.5194/egusphere-egu26-16774, 2026.

EGU26-17180 | ECS | Posters on site | SSS6.10

Effects of biochar and irrigation on greenhouse gas exchange in hemiboreal urban green areas 

Veera Bilaletdin, Liisa Kulmala, Esko Karvinen, Vertti Perttilä, Aino Tiainen, Hermanni Aaltonen, Kaisa Rissanen, Jesse Soininen, and Leena Järvi

As cities worldwide pursue carbon neutrality, developing a comprehensive understanding of the contributions of urban vegetated areas to climate change mitigation is required. Significant knowledge gaps remain regarding the full range of urban biogenic greenhouse gas (GHG) dynamics, particularly concerning GHGs other than carbon dioxide (CO2) and the possibly crucial role of urban soils. Existing studies suggest that urban soils often exhibit higher respiration rates, increased nitrous oxide (N2O) emissions and reduced methane (CH4) uptake compared to natural ecosystems. This study investigates how irrigation practices and biochar amendment influence soil GHG fluxes in urban lawns and tree growing media, and examines the potential impacts of biochar on tree growth and leaf-level CO2 exchange. Ultimately, we aim to provide information on whether sensible use of irrigation and biochar could help to enhance the climate change mitigation potential of urban green areas.

The study is based on a measurement campaign using manual dark chambers to quantify soil CO2, CH4 and N2O fluxes and leaf CO2 exchange measurements made in Helsinki, Finland, in summer 2025. Irrigation impacts on urban lawn GHG exchange were studied on 10 controlled, non-fertilized plots located along a footpath in Kumpula botanic garden. Half of the plots were irrigated weekly, while the other half functioned as unirrigated controls. Flux measurements were complemented with manual and automatic measurements of soil moisture and temperature. To provide a comparison with less managed vegetation, a nearby meadow was also measured using the same protocol without irrigation. Effects of biochar on soil and tree GHG exchange were investigated in an urban park in Eastern Helsinki, where trees planted in 2023 grow in standardized growing media. First half of the trees received biochar at planting, while the other half served as controls. Soil and leaf GHG fluxes were measured alongside with soil moisture, temperature and tree health assessments.

While data analysis for the summer 2025 measurements is still ongoing, preliminary results indicated a significant reduction in CH4 uptake under irrigation. CO2 and N2O showed no consistent response, with especially N2O fluxes exhibiting high variability across plots and measurement days. In the biochar experiment, biochar appeared to suppress the largest N2O flux events from soil, but no significant effects on CO2 and CH4 fluxes were detected. CH4 fluxes showed pronounced spatial variability across the study site. While most plots acted as CH4 sinks, one section of the park exhibited notable emissions, possibly reflecting local anoxic conditions in the soil. As part of the ongoing analysis, net soil GHG balances for the studied vegetation types, expressed as CO2 equivalents, will be calculated for the measurement period to provide an integrated assessment of their climatic impacts.

How to cite: Bilaletdin, V., Kulmala, L., Karvinen, E., Perttilä, V., Tiainen, A., Aaltonen, H., Rissanen, K., Soininen, J., and Järvi, L.: Effects of biochar and irrigation on greenhouse gas exchange in hemiboreal urban green areas, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17180, https://doi.org/10.5194/egusphere-egu26-17180, 2026.

EGU26-18580 | Posters on site | SSS6.10

Constructed Technosols for Green Roofs: Quantifying Infiltration Dynamics and Flow Pathways with Bimodal Neutron–X-ray Tomography 

Michal Snehota, Anders Kaestner, and Vladimira Jelinkova

Extensive green roofs are widely implemented as nature-based solutions (NBS) to improve urban and landscape resilience by reducing runoff peaks, moderating urban heat, and supporting biodiversity. A key, yet often under-characterized, component of green roof performance is the growing media layer - Constructed Technosol that regulates infiltration, storage, and drainage. After installation, early pedogenesis and substrate ageing—driven by physical re-organization, chemical weathering, root activity, and organic matter turnover—progressively modify pore architecture and hydraulic functioning. These changes can alter flow paths, and overall stormwater retention, with direct implications for performance, maintenance strategies, and long-term service delivery of green roof NBS.

Here we investigate how substrate ageing modifies infiltration processes and flow pathways in constructed Technosols using non-invasive, bimodal 3D imaging that combines neutron and X-ray tomography. “Virgin” packed substrates represent the initial engineered state immediately after installation, while “aged” substrates were sampled after multiple seasons of outdoor exposure under vegetation. Neutron tomography, evaluated using black-body correction, provides strong contrast for hydrogen-rich constituents, enabling visualization of dynamic water redistribution as well as organic matter-related features. Complementary X-ray tomography resolves the mineral solid phase at high spatial resolution. Through 3D image registration and data fusion, we quantify ageing-induced changes in structure and composition and directly relate them to time-resolved infiltration behavior.

Two designed Technosols differing in particle-size distribution and organic matter content are studied to represent contrasting engineering strategies. Vegetated samples (dominated by Sedum spp.) are subjected to controlled drip irrigation while being repeatedly imaged to capture wetting front progression. Advanced processing workflows (noise reduction, artefact mitigation, multimodal registration, and sequential alignment of neutron time series to an X-ray reference),  analysis of infiltration, and pore system geometry changes.

How to cite: Snehota, M., Kaestner, A., and Jelinkova, V.: Constructed Technosols for Green Roofs: Quantifying Infiltration Dynamics and Flow Pathways with Bimodal Neutron–X-ray Tomography, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18580, https://doi.org/10.5194/egusphere-egu26-18580, 2026.

Climate change is no longer about single hazards—it is about compound disasters that escalate through interlinked shocks and delays in recovery. These risks do not distribute randomly, but concentrate persistently in certain places and among vulnerable groups. This keynote argues that compound disasters must be understood not as isolated events, but as a structural process shaped by coupled long-term pressures and short-term pulses.

To unpack this, I use the press–pulse disturbance framework: chronic pressures like urbanization, loss of ecological function, and impervious surface expansion gradually shift system states, while acute shocks like heatwaves or floods convert these vulnerabilities into real damage. Critically, these interactions are not linear—pressures amplify shock impacts, and shocks reshape the very systems that buffer or propagate the next disaster. However, explaining this mechanism is not enough for action. To move from diagnosis to implementation, we need a planning-oriented logic that translates drivers, system conditions, and intervention options into concrete spatial choices—this is where the PSR framework becomes essential.

Through a Pressure–State–Response (PSR) lens, I propose a systems approach that connects risk drivers, system conditions, and intervention points. Here, Nature-based Solutions (NbS) are reframed not as surface-level greening, but as spatial tools that weaken amplification loops, change system trajectories, and accelerate recovery. PSR allows for actionable diagnosis: identifying where and how to intervene, and what type of NbS strategy will be most effective.

The keynote presents empirical cases across multiple hazards:

             •            Heatwaves show why thermal risk clusters spatially, and how specific NbS configurations reduce exposure.

             •            Urban flooding reveals how land-cover shifts and disrupted hydrology amplify risk—and how spatially connected NbS networks restore regulation.

             •            Wildfire cases highlight cross-boundary escalation and how spatial design can transform spread and recovery dynamics.

             •            Biodiversity & ecosystem function are revealed not as side benefits, but as structural determinants of resilience.

Together, these cases clarify both the mechanisms and the spatial leverage points; translating them into action requires a decision framework.

Decision-support tools—such as scenario modeling, hotspot mapping, and land-use optimization—translate systems analysis into grounded policy options. Across these examples, resilience emerges not from single interventions, but from reconfiguring feedbacks: robustness via regulating functions, redundancy through distributed networks, resourcefulness via multifunctional design, and rapidity through faster recovery paths.

In sum, this keynote presents a new logic for addressing compound disasters: not just what we should do, but why systems respond the way they do, and how spatial NbS strategies can intervene in those dynamics. Moving from reactive planning to anticipatory systems thinking is not only urgent—it is possible.

How to cite: Lee, J.: Why Do Compound Disasters Keep Recurring?Structural Diagnosis and Spatial Strategies via Systems Analysis and Nature-Based Solutions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18711, https://doi.org/10.5194/egusphere-egu26-18711, 2026.

EGU26-22486 | Orals | SSS6.10

Unlocking Subsurface Potentials: Geosystem Services for More Informed and Sustainable Planning 

Jenny Norrman, Emrik Lundin Frisk, Anja Gustafsson, Paula Lindgren, Lorena Melgaço, Fredrik Mossmark, Olof Taromi Sandström, Victoria Svahn, Tore Söderqvist, Yevheniya Volchko, and Maria de Lourdes Melo Zurita

Soils and subsoils provide essential functions that underpin land uses across agriculture, forestry, nature conservation, and urban development. Much like topsoil, deeper subsurface layers and other geological resources remain largely invisible in planning and design practice, despite their
growing importance for climate adaptation, water management, energy systems, and underground infrastructure. The concept of geosystem services (GS) offers a way to broaden the perspective from surface soils to the full geophysical environment—encompassing soil, subsoil, sediment, and bedrock—and to articulate how these layers collectively support societal needs. GS thereby complements soil-based ecosystem service frameworks by revealing additional regulating, provisioning, and supporting functions that become critical as societies make increasing use of the subsurface.
This contribution synthesises insights from three Swedish applications of GS in municipal planning. In Malmö, GS potentials were mapped using an indicator-based methodology to support climate resilience strategies. The resulting maps visualised potentials for stormwater infiltration and retention, shallow geo-energy use, groundwater regulation, and the availability of subsurface space. Planners found that the GS maps improved communication across disciplines and helped make “hidden” subsurface capacities visible in early decision making.
In Askersund, GS potential mapping was adapted to a rural comprehensive planning context. Five services—stormwater infiltration and retention, groundwater provision, bearing capacity, erosion resistance, and provision of construction material—were evaluated with local planners. The maps were found to be useful overview tools, revealing subsurface opportunities and constraints beyond what conventional soil or land use data captures, but need further refinement to become products that can be used as a standard tool.
In Gothenburg, a checklist of GS informed a comparative assessment of three alternative tunnel corridor reservations by systematically identifying impacts on subsurface resources, risks, and long-term potentials. This demonstrated how applying the concept of GS, even in a very simplistic manner by using checklists and expert assessments, can help avoid unintended trade-offs in large infrastructure projects through early subsurface consideration.
Across the cases, the concept of GS offered a unifying language and practical tools for integrating soil, subsoil, and deeper geological functions and services into spatial planning—supporting more informed land use decisions, and spatial development that avoids shifting problems across areas, generations, or functions.

 

How to cite: Norrman, J., Lundin Frisk, E., Gustafsson, A., Lindgren, P., Melgaço, L., Mossmark, F., Taromi Sandström, O., Svahn, V., Söderqvist, T., Volchko, Y., and de Lourdes Melo Zurita, M.: Unlocking Subsurface Potentials: Geosystem Services for More Informed and Sustainable Planning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22486, https://doi.org/10.5194/egusphere-egu26-22486, 2026.

EGU26-22749 | Posters on site | SSS6.10

Speeding up early pedogenetic processes in constructed Technosols with organic matter enrichment 

Thomas Lerch, Maha Deeb, Manuel Blouin, Anne Pando, and Michel Grimaldi

Constructed soils (Technosols) produced from waste materials offer a sustainable alternative to landfill disposal while supporting vegetation and ecosystem services, without relying on topsoil extracted from natural areas. Research in pedological engineering aims to design functional soils through the recycling of low-value materials, thereby contributing to a circular economy in urban environments. One poorly documented aspect of Technosol pedogenesis is the short-term impact of mixing parent materials with contrasting properties, which can trigger rapid soil formation processes within months—much faster than the years or centuries required for natural soils. This characteristic makes Technosols valuable experimental models for investigating pedogenic processes on time scales compatible with human observation. In this study, we examined how the properties and interactions of two parent materials—excavated deep soil horizons (EM) and green waste compost (GWC)—influence the rate of early pedogenetic processes. We hypothesised that increasing organic matter inputs through GWC addition would accelerate the physical, chemical, and biological processes leading to soil formation. To test this hypothesis, six EM/GWC mixtures (0–50% GWC, w/w) were incubated in mesocosms under controlled conditions for 21 weeks and subjected to repeated wet–dry cycles. Pedogenetic changes were assessed using chemical (C, N, available P, pH, CEC), hydrostructural (shrinkage curves), and biological indicators (catabolic profiles, qPCR, and molecular fingerprints). Results showed that increasing compost content significantly accelerated the evolution of soil properties. Organic matter losses were greater in GWC-rich Technosols due to enhanced mineralisation, leading to a slight but significant decrease in pH and increased nutrient release, particularly phosphorus. These changes were accompanied by an increase in cation exchange capacity, suggesting the development of organo-mineral associations and increased reactive surface area. Hydrostructural properties also evolved proportionally to initial GWC content, with higher compost inputs improving moisture retention in both macro- and micropores, increasing void ratios at the end of shrinkage, and enhancing available water capacity. These physical changes, promoted by higher organic matter content, strongly influenced microbial abundance, community composition, and metabolic activity. Overall, this study demonstrates that early pedogenetic processes in Technosols can be markedly accelerated by organic matter enrichment through its combined effects on chemical, physical, and biological soil properties. Our findings highlight the dual potential of Technosols as both functional soils for urban applications and powerful experimental systems for studying early soil formation.

How to cite: Lerch, T., Deeb, M., Blouin, M., Pando, A., and Grimaldi, M.: Speeding up early pedogenetic processes in constructed Technosols with organic matter enrichment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22749, https://doi.org/10.5194/egusphere-egu26-22749, 2026.

EGU26-22765 | Posters on site | SSS6.10

Engineered Soils from excavated molasse materials: Evaluating Plant and Compost Interactions at the OpenSkyLab 

Christiana Staudinger, Corentin Pueyo, Luisa Ulrici, Maha Deeb, Pascal Boivin, Maha Chalhoub, Philippe Bataillard, Samuel Coussy, Charles Cartannaz, Noémie Dubrac, Ali Kanso, Gaylord Machinet, Carmen Mirabelli, Markus Marchhart, Hannes Pavetits, Hans-Peter Kaul, Olivier Duboc, and Johannes Gutleber

Engineered soils (human-made soils) can provide solutions for the recovery of excavated materials; however, these innovative approaches remain limited and require careful development.

The international Future Circular Collider (FCC) study hosted by CERN develops processes with the goal to use excavated materials from the construction of a particle-collider based research infrastructure in the frame of an R&D project called "OpenSkyLab". Part of the project is a platform located on 1 ha of terrain made available by CERN in France to develop standard operating procedures for excavated materials re-use.

The project addresses several research questions, including how to recycle low-clay molassic materials while managing the complexity of mixing processes and enhancing microbial activity in cost effective manner; how to promote plant growth while improving pedogenesis; and identify plant species can enhance soil pedogenesis processes and ecosystem functioning.

The project includes demonstrative, replicated plots and elevated hedgerows plots. Engineered soils were constructed from molassic materials, heterogenous sedimentary rocks typical of Geneva basin, and amended with 0%, 15%, or 30% compost by volume. These substrates were tested under different vegetation types, including Miscanthus giganteus, Kernza (perennial wheat), pasture mixtures, and annual cover crop mixtures. Innovative mixing techniques incorporating inert clay were evaluated to improve substrate aggregation and homogeneity.

After one year of installation, primary results showed that all plant species established successfully except Kernza, which failed to grow. A mixture containing 30% compost and 70% molasse provided good soil cover and good adaptability. Notably, pasture mixtures with 15% compost (~1.5 % organic matter) exhibited strong development, better macrofauna integration, and improved soil structure compared with other plots. These findings contribute to the development of processes for the engineered soil-based recovery of molasse excavated from the FCC and other large-scale construction projects.

How to cite: Staudinger, C., Pueyo, C., Ulrici, L., Deeb, M., Boivin, P., Chalhoub, M., Bataillard, P., Coussy, S., Cartannaz, C., Dubrac, N., Kanso, A., Machinet, G., Mirabelli, C., Marchhart, M., Pavetits, H., Kaul, H.-P., Duboc, O., and Gutleber, J.: Engineered Soils from excavated molasse materials: Evaluating Plant and Compost Interactions at the OpenSkyLab, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22765, https://doi.org/10.5194/egusphere-egu26-22765, 2026.

EGU26-23050 | Posters on site | SSS6.10

Renaturing urban environments: from concepts to empirical restoration 

Patrice Prunier, pascal Boivin, Maha Deeb, Pierre-André Frossard, Charlene Heiniger, Laurent Huber, Fabienne Mörch, Luce Renevey, and Julie Steffen

Due to significant anthropogenic constraints, urban (eco)systems often consist of artificial soils or substrates with sparse vegetation cover, particularly in terms of native species. Consequently, their degree of naturalness is generally very low.

Beyond the differentiated management of urban parks—including, where appropriate, the restoration of extensive meadows and lawns—the development of herbaceous systems on roofs, walls, and along tramways offers considerable potential to increase the naturalness of neighborhoods or cities and to create ecological networks. This potential is particularly high for roofs, which cover at least as much surface area as parks in cities and are often poorly vegetated.

This presentation will showcase examples of herbaceous systems in urban environments based on local Central European natural models, focusing on the following:

  • Simple green roof developments and their possible integration with photovoltaic installations, including substrates made from recycled materials in line with circular economy principles;

  • Reconstruction of extensive flower meadows by sowing along tram tracks and implementing differentiated management;

  • Construction of dry stone walls incorporating vegetation with native species;

  • Experiments in greening bus shelters.

Detailed feedback will be provided on the greening of roofs with local plants and substrates, monitored over 5 to 10 years. Results reveal a variety of responses, based on models of resistance or resilience of the initial plant communities, influenced by substrate thickness and their intra- or peri-urban location.

How to cite: Prunier, P., Boivin, P., Deeb, M., Frossard, P.-A., Heiniger, C., Huber, L., Mörch, F., Renevey, L., and Steffen, J.: Renaturing urban environments: from concepts to empirical restoration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23050, https://doi.org/10.5194/egusphere-egu26-23050, 2026.

Landslides are among the most destructive natural hazards in Türkiye, where high susceptibility is linked to active tectonic structures, steep topography, and complex climatic conditions. For instance, the Eastern Anatolian Region is recognized as a high-risk zone regarding seismicity and vast mass movements; therefore, reliable predictive tools for hazard mitigation are needed. Although several studies have already applied Machine Learning (ML) methodology for Landslide Susceptibility Mapping (LSM) problems in Türkiye, no systematic comparative evaluation of different modelling hierarchies has been performed so far for this particular area in a tectonically complex environment.

This study attempts to fill this gap by developing and rigorously comparing three disparate modeling methods: a statistical baseline, Logistic Regression (LR); an ensemble, Random Forest (RF); and a state-of-the-art deep learning method, Convolutional Neural Networks (CNN). The study was conducted using a landslide inventory and twelve landslide conditioning factor layers, including topographic data: DEM, Slope, Curvature, TWI; geological data: Lithology and Distance to Fault; environmental data: NDVI and Land Cover.

The core methodology embraced a systematic optimization of dataset splitting, whereby model performance was compared across different test/train ratios in order to identify the most stable and accurate data partition. Results are presented using key statistical metrics, including Accuracy and the Area Under the Receiver Operating Characteristic Curve (AUC-ROC), for LR, RF, and CNN. The best-performing model and its corresponding optimal test/train ratio were used to generate the final high-resolution LSM map for the Muş-Bingöl area. This forms a scientifically validated tool that can be used for regional land-use planning and risk management.

How to cite: Erdoğan, N. and Akgün, H.: Landslide susceptibility mapping of the Muş-Bingöl region: a comparative analysis and optimization of machine learning models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-498, https://doi.org/10.5194/egusphere-egu26-498, 2026.

INTRODUCTION

Underground mining frequently leads to surface instability such as subsidence, sinkholes, and landslides. In the Bulqiza chrome mine in Albania, decades of extraction and the transition from cut-and-fill to sublevel stoping have increased rock-mass deformation, resulting in fissures, caving, and surface failures. This study focuses on Profile XIV, where both continuous subsidence and a sinkhole are present, in order to evaluate the accuracy of predictive methods used to assess mining-induced deformation.

AIM

This study aims to assess the surface impacts of underground mining in the Bulqiza district by applying both empirical subsidence modelling and numerical simulations using Finite Element Methods. The study compares predicted results with observed deformation, evaluates the influence of caved zones (goaf) and tectonic structures, and verifies the suitability of using a combined empirical and numerical approach for deformation assessment.

METHODS

Geological and mechanical properties were defined through field investigations and archived mine data. An empirical model with a subsidence coefficient of K = 0.9 was used to calculate the critical collapse depth (Hcal) and compare it with the effective mining depth (Hfac). Numerical simulations were then performed with the Rocscience FEM software for two surface-deformation profiles: one exhibiting continuous subsidence and the other featuring a surface sinkhole. Each profile was modelled under different conditions, including the presence or absence of goaf and the inclusion or exclusion of tectonic influence. Surface displacement was used as the main indicator for assessing deformation.

RESULTS

The empirical model indicated a low likelihood of funnel formation in the subsidence profile, where Hcal was smaller than Hfac, while in the sinkhole profile, Hcal exceeded Hfac, confirming a high probability of collapse consistent with field observations. Numerical modelling supported these findings. In the subsidence profile, vertical displacement remained small around 14 mm regardless of whether the goaf was included, and no funnel formation was predicted. In the sinkhole profile, displacement increased to 24.3 mm when the goaf was considered without tectonics. When tectonic effects were included, displacement increased substantially to values between 40.4 and 61 mm, closely reproducing the actual sinkhole conditions. These results show that tectonics strongly amplifies surface deformation.

CONCLUSIONS

This study demonstrates that both empirical and numerical methods effectively reproduce the types and magnitudes of surface deformation observed in the Bulqiza mine. Numerical modelling closely matched actual conditions, particularly when tectonic effects were incorporated. While goaf conditions had little effect in the subsidence zone, they significantly increased deformation in the sinkhole area. The findings confirm that tectonic structures are a major factor controlling surface collapse and that a combined empirical and numerical approach provides a reliable method for assessing mining-induced surface impacts in Bulqiza and comparable underground mining environments.

How to cite: Belba, P.: Surface Deformation Assessment in the Bulqiza Chrome Mine Using Empirical and Numerical Modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-798, https://doi.org/10.5194/egusphere-egu26-798, 2026.

In recent years, extreme climate events characterized by heavy rainfall and seismic activity have significantly intensified the risks of slope disasters in Taiwan's mountainous regions. This study focuses on Zhongxing Village, Liugui District, Kaohsiung City, Taiwan, an area marked by steep topography and a recurrent history of severe landslides and debris flows. The primary objective is to evaluate slope stability under diverse environmental scenarios using numerical simulation. The methodology utilizes the STEDwin slope stability analysis software, specifically employing the Bishop method, which is based on limit equilibrium theory. A representative geographic profile near Shanping Villa was established, with soil parameters calibrated from 16 localized borehole records obtained from engineering geological databases. The analysis examines three critical conditions: normal, heavy rain, and earthquake. The findings indicate that under normal conditions, the factor of safety (FS) is 1.30, which falls short of the official standard threshold of 1.5 for permanent slope structures. Under the heavy rain scenario (with groundwater at the surface), the FS drops drastically to 0.66, representing a critical 49.23% reduction in stability. In the earthquake scenario, incorporating parameters from the 2016 Meinong earthquake, the FS reached 1.01. These results align closely with historical records from Typhoons Morakot and Kaemi, highlighting significant risks to Shanping Villa, Shanping Forest Road, and Highway 27. In conclusion, the drastic rise in the groundwater level is the primary driver of slope failure in this region. The study recommends the prioritized implementation of deep drainage systems, such as drainage galleries, to enhance soil effective stress. Furthermore, establishing a real-time monitoring and early warning system is essential to facilitate mandatory evacuations during extreme rainfall, thereby ensuring public safety and infrastructure resilience.

How to cite: Hsu, H.-H., Deng, X.-X., Chen, Y.-H., Chang, Y.-C., and Chen, Y.-H.: Slope Stability Analysis and Hazard Potential Assessment in Zhongxing Village, Kaohsiung City: Numerical Simulation under Extreme Rainfall and Earthquake Scenarios Using STEDwin, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2417, https://doi.org/10.5194/egusphere-egu26-2417, 2026.

An increase in soil water content (SWC) from rainfall infiltration reduces the matric suction and shear strength; hence, rainfall is a primary trigger of shallow landslides. While accurate SWC monitoring is critical for predicting slope failure, traditional point-based sensors lack the spatial resolution required for effective field-scale assessment. This study aims to bridge this gap by integrating hyperspectral and multispectral imaging technologies with advanced machine learning (ML) models. Based on 114 in-situ soil samples collected from landslide-affected areas across South Korea, correlations between physical soil properties (e.g., void ratio, soil color) and hyperspectral data in the visible and near-infrared (Vis-NIR) regions were analyzed. Two ML algorithms, Random Forest (RF) and Multilayer Perceptron (MLP), were employed to develop predictive models for SWC. In this study, statistical evaluation indicated that the RF model demonstrated superior accuracy and robustness in handling high-dimensional spectral data compared to the MLP model. To validate the method's applicability for landslide monitoring, field tests were conducted in the mountainous region of Pyeongchang, South Korea, using a multispectral camera mounted on an unmanned aerial vehicle (UAV). The RF model successfully predicted the spatial distribution of SWC using spectral reflectance and geotechnical parameters. Although the model showed limitations in extrapolating beyond the training data range, it effectively captured critical variations in soil moisture relevant to slope stability. These results suggest that integrating UAV-based remote sensing with ML offers a promising, non-contact approach for high-resolution monitoring of shallow landslides, contributing to more proactive disaster prevention strategies.

How to cite: Lim, H.-H., Cheon, E., and Lee, S.-R.: UAV-Based Multispectral Assessment of Soil Water Content for Shallow Landslide Monitoring: A Machine Learning Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2879, https://doi.org/10.5194/egusphere-egu26-2879, 2026.

EGU26-2976 | ECS | Posters on site | NH3.3

Beyond Coarse Data: Soil Thickness and Rainfall forLandslide Hazard Modelling 

Paula Cortes, Johnny Vega, Robert Reinecke, and Ugur Ozturk

An increasing population in mountainous regions, where gentle and stable topography is scarce, drives residents to settle on steep slopes. These slopes are particularly prone to shallow landslides, which involve the displacement of the upper soil layers and are more easily triggered by rainfall. Therefore, accurate landslide hazard models are needed to safeguard populations.

These models typically include spatial data, such as soil thickness and rainfall. However, the lack of detailed inputs often means that models operate at coarse scales, which can mask local variability and potentially underestimate hazard levels. To address this gap, our research question is whether simulations of shallow landslides can be improved by enhancing the spatial resolution of two critical variables derived from coarse satellite data: (i) soil thickness determining the volume of material available for sliding, and (ii) rainfall controlling soil saturation and pore-water pressure dynamics.  

To demonstrate the scalability and applicability of the method to other regions prone to landslides, we tested this approach in La Estrella, Colombia, a municipality with a long history of landslides and rapid population growth on steep slopes. For soil thickness, we applied a geomorphological model that relates soil depth to slope angle and distance to the drainage network. We validated the estimates against borehole measurements, finding strong agreement at three of five test sites. For rainfall, we integrated CHIRPS with local rain-gauge data, using spatial interpolation and regression-based downscaling to produce high-resolution rainfall fields. The downscaling model was then evaluated using statistical metrics, including the Pearson correlation coefficient (r), bias, and Nash–Sutcliffe efficiency (NSE).

In the next step, we will feed these two outputs into a Landlab shallow landslide probability model that couples hydrological response with soil mechanical stability. This will allow us to quantify the influence of input resolution on predicted landslide probability patterns.

How to cite: Cortes, P., Vega, J., Reinecke, R., and Ozturk, U.: Beyond Coarse Data: Soil Thickness and Rainfall forLandslide Hazard Modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2976, https://doi.org/10.5194/egusphere-egu26-2976, 2026.

EGU26-3757 | ECS | Orals | NH3.3

Environmental Controls on Post-Little Ice Age Landslide Distribution Around the South Patagonian Icefield 

Gernot Seier, Matěj Slíva, Tomáš Pánek, and Diego Winocur

Understanding landslide (LS) distribution in deglaciated mountains is key to landscape evolution and geohazard risk. We present an orogen-scale assessment of 1,691 Post-Little Ice Age (LIA) LSs (91% shallow) along the South Patagonian Icefield (SPI, 48–52°S) margins. Mapped via high-resolution multitemporal imagery (2010–2025) and multi-operator validated, kernel densities (10 km bandwidth) show clustering in western and southern SPI—central peak, northwest secondary—amid ~20% ice loss (since the end of the LIA) and uplift >40 mm/yr.

Environmental variables from LS/non-LS areas fed Bayesian horseshoe variable selection. Sparse Gaussian process regression (R2=0.96, SPAEF ≥0.85) identified precipitation, fault density, and uplift as dominant controls. Precipitation destabilizes slopes via pore pressures, triggering shallow LSs (positive correlation); fault density signals structural weakness/seismic facilitation; uplift shows complex negative LS correlation, as active deformation/steep slopes favor erosion over accumulation, reducing LS buildup. Lithology, permafrost, retreat rates exert weaker, context-dependent influences. LS versus non-LS distinctions underscore the value of integrating correlation-based and predictive approaches. Coupled climate-deglaciation-tectonics govern landslide distribution in the SPI.

Critically, ~17% of LSs overlap glacial lake upslope areas (30 m buffer), preconditioning glacier lake outburst flood risks at, e.g. Torre Glacier's ~8 Mm³ failure—shallow dominance may temper severity, sea-proximal cases extend threats. Findings illuminate paraglacial responses to glacier retreat, offering predictive hazard frameworks for warming cryosphere.

How to cite: Seier, G., Slíva, M., Pánek, T., and Winocur, D.: Environmental Controls on Post-Little Ice Age Landslide Distribution Around the South Patagonian Icefield, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3757, https://doi.org/10.5194/egusphere-egu26-3757, 2026.

Road construction on hillslopes has increased explosively due to the rapid socioeconomic development in China’s mountainous areas. The exposure of steep and rapidly weathering slopes caused by road construction accelerates slope movements, especially roads building on residual soil. Residual soil slopes are prone to slow movements and may evolve to failure in response to infiltration of rainwater. Engineering works on residual soil (e.g., excavation, filling for buildings and roads) exacerbate these problems through altering the internal and external stress of slopes. Yet our understanding of the interactive effects of rainfall and road construction on slope dynamics or even failure in subtropical residual soils remains elusive. Here, we used three-decadal radar remote sensing data to quantify the time series deformation before a catastrophic slope failure, occurring at Meida Highway in China that caused 52 fatalities. Physics-based decomposition of the time series movements over the past 8 years reveals that there is a constant seasonal movement related to rainfall and a precursory accelerated movement triggered by slope reinforced measures before failure occurrence in May 2024. Emergency mitigations of reinforced measures modified the infiltrates and routes of surface and subsurface water, leading to an adverse impact of reducing slope failure risk. Analysis of numerical simulation indicates that rainfall-induced pore water pressure reduced the shear strength of granite residual soils, ultimately triggering slope failure. This improved understanding of the slope dynamics in response to different forces will be important to avoid economic and life loss, strengthen emergency planning and identify potential risks.

How to cite: Huang, X. and Ma, P.: Satellite images reveal progressive slope deformation triggered by mountainous road construction in subtropical South China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4787, https://doi.org/10.5194/egusphere-egu26-4787, 2026.

EGU26-6955 | ECS | Orals | NH3.3

Cormons landslide characterization using Lidar and remote sensed data. 

alessia scalabrini, simone francesco fornasari, and giovanni costa

Landslides are a global phenomenon occurring in several climatic and geomorphologic contexts, generating billions in economic losses and causing thousand of causalities each year. This phenomenon is often characterized as a local problem, but its effect and cost frequently cross local jurisdiction and may become a national problem [1]. Landslides, resulting from disturbance in slope equilibrium induced by the movement of a mass of rock, debris or earth down a slope and pose a significant threat to landscapes, infrastructure and human life [2]. Landslides can be labelled into different categories depending on the type of movement and the type of material involved. They may be triggered by several phenomena; the primary are seismic activities and heavy rainfall. More precisely, rainfall-induced landslides typically occur in regions prone to heavy precipitation, with steep slopes and poorly consolidated soil or rock [2]. In Italy, the most recent case study, is the Cormons (Gorizia, Italy) landslide occurred on November 17th 2025. Here, intense rainfalls caused a mud-flow inducing the collapse of several buildings and two casualties. In this area, landslides are the most frequent type of instability. These are mostly small and medium-sized landslides, located on flyschoid hills, affecting vineyards and only locally affecting roads and rural settlements [3]. Identifying these phenomena through satellite-based remote sensing techniques offers essential data and insight for landslide studies. Information regarding timing, location and spatial extent of detected landslides, along with changes in surface materials, plays a key role in risk and susceptibility assessments as well as in effective disaster management, monitoring and response activities. For the purpose of this work, optical satellite images provided by Sentinel-2, together with the Lidar provided by the Italian Civil Defense have been used with the aim to identifying the Cormons landslide and its characteristics in terms of dimensions, shape and amount of material moved during the event. The use of optical imagery from Sentinel-2 it’s been used to evaluate spectral indices like Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Bare Soil Index (BSI). Instead Lidar and DEM have been used to define the ground changes in terms of elevation and also the amount of material involved in the event. From the GIS analysis, the results confirm the presence of a mudflow within a watershed located in the Cormons area. Additionally, from the Lidar other small collapse features have been highlighted in the surrounding area.

 

REFERENCES:

  • Highland, L. M., & Bobrowsky, P. (2008). The landslide handbook-A guide to understanding landslides(No. 1325). US Geological Survey.
  • Peters, S., Liu, J., Keppel, G., Wendleder, A., & Xu, P. (2024). Detecting coseismic landslides in GEE using machine learning algorithms on combined optical and radar imagery. Remote Sensing16(10), 1722.
  • https://www.isprambiente.gov.it/files/pubblicazioni/rapporti/rapporto-frane-2007/Capitolo_11_Friuli_Venezia_Giulia.pdf

 

How to cite: scalabrini, A., fornasari, S. F., and costa, G.: Cormons landslide characterization using Lidar and remote sensed data., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6955, https://doi.org/10.5194/egusphere-egu26-6955, 2026.

EGU26-7148 | ECS | Orals | NH3.3

Automated quasi-3D reconstruction of landslide slip surfaces using UAV-derived surface displacement 

Shigeru Ogita, Shoutarou Sanuki, Kazunori Hayashi, Keita Itou, Shinro Abe, Dang Dai Nam Nguyen, and Ching-Ying Tsou

Rapid and safe identification of slip-surface geometry is essential for efficient landslide investigation and mitigation. Conventional approaches to slip-surface determination rely primarily on borehole surveys and in situ instrumentation; however, these methods require long investigation periods and substantial labor.

In this study, we propose a new method that automates slip-surface reconstruction using high-density ground-surface displacement vectors derived from multi-temporal topographic data collected by a laser-equipped UAV at two landslides developed in Neogene formations in northeastern Japan. The analysis estimates two-dimensional slip-surface profiles along multiple cross sections (following Ogita et al., 2024), which are subsequently integrated to construct a quasi–three-dimensional slip-surface geometry. For validation, the landslide moving mass volumes estimated using the proposed method were compared with those identified from dense borehole data. The results show agreement rates of 87% and 96%, respectively. These findings demonstrate that the proposed method achieves sufficient accuracy for practical application in future landslide mitigation planning.

 

References:

OGITA, S., HAYASHI, K., ABE, S., TSOU, C.-Y. (2024): Estimation of slip surface geometry from vectors of ground surface displacement using airborne laser data : case studies of the Jimba and Tozawa landslides in Akita Prefecture, Journal of the Japan Landslide Society, 61(4) 123-129 (in Japanese with English abstract).

How to cite: Ogita, S., Sanuki, S., Hayashi, K., Itou, K., Abe, S., Nguyen, D. D. N., and Tsou, C.-Y.: Automated quasi-3D reconstruction of landslide slip surfaces using UAV-derived surface displacement, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7148, https://doi.org/10.5194/egusphere-egu26-7148, 2026.

EGU26-9556 | Orals | NH3.3

Framework for early detection and characterisation of hydraulically induced shallow landslides 

Mateja Jemec Auflič, Matej Maček, Jasna Smolar, Karin Kure, Tina Peternel, Helena Grčman, Rok Turniški, Marko Zupan, Vesna Zupanc, Luka Žvokelj, and Boštjan Pulko

Shallow landslides triggered by intense and prolonged precipitation represent a major geohazard in many soil-dominated landscapes. This study presents the development of an integrated monitoring and modelling framework for the early detection and characterisation of hydraulically induced shallow landslides. The approach is based on the selection of three representative pilot sites and the implementation of comprehensive field investigations (engineering-geological, pedological, geotechnical, hydrological) and laboratory testing to determine the chemical, physical, and mechanical properties of characteristic soil horizons. A real-time monitoring system has been established to continuously record  soil volumetric water content and suction, together with precipitation, providing high-resolution hydro-meteorological and hydrological data. Geoelectrical measurements and field investigations were applied to characterise soil structure and depth, and to establish relationships between geophysical parameters and physico-mechanical soil properties. These analyses enable the development of a non-invasive monitoring approach capable of diagnosing landslide initiation, delineating landslide geometry, and estimating potentially unstable volumes. Based on the monitoring data obtained at pilot sites, hydro-meteorological thresholds and critical soil parameters controlling shallow landslide occurrence are derived for key soil types. Safety factors and probabilistic landslide occurrence models are developed to identify dominant triggering mechanisms. The results contribute to a national-scale framework for shallow landslide susceptibility mapping and provide a transferable methodology for operational landslide early-warning systems. This research is supported by the Slovenian Research and Innovation Agency through research projects: A holistic approach to Earth surface processes driven by extreme weather events (J7-60124) and Geospatial information technologies for a resilient and sustainable society (GC-0006).

How to cite: Jemec Auflič, M., Maček, M., Smolar, J., Kure, K., Peternel, T., Grčman, H., Turniški, R., Zupan, M., Zupanc, V., Žvokelj, L., and Pulko, B.: Framework for early detection and characterisation of hydraulically induced shallow landslides, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9556, https://doi.org/10.5194/egusphere-egu26-9556, 2026.

EGU26-10241 | Posters on site | NH3.3

Multi-instrument geophysical monitoring of a km-scale slow-moving landslide in Nepal: Technical insights and preliminary results 

Maxime Jaspard, Jérôme Lave, Bhairab Sitaula, Julien Barrière, Ananta Gajurel, and Tanka Paudel and the Team Slide

Himalayan slopes are highly exposed to landslides, primarily triggered by earthquakes and monsoon precipitation. Satellite methods offer unrivalled spatial coverage of surface displacements on a weekly scale. However, they do not directly provide details of deformation at depth, nor do they offer sufficient temporal resolution to elucidate the continuity or intermittent nature of the landslide deformation during phases of heavy rainfall, strong rise in the water table or during intermediate seismic shaking. To address these issues in the context of the ANR/FNR project "SLIDE", we have recently deployed in late October 2025 a geophysical network at the level of one active, km-scale cultivated landslide in Nepal consisting in 16 co-located seismic and GNSS stations and one metereological station.

In this presentation, we will present the practical aspects of deploying and maintaining these instruments in remote Himalayan terrain. Each system required specific installation techniques and careful site selection to ensure stable measurements and long-term performance. Field operations were challenged by difficult access, variable road conditions, limited power availability, and unpredictable weather. Beyond technical challenges, community engagement is essential and close collaboration with local residents guided several site choices. We will also show the preliminary analysis of seismic, GNSS and meteorological data over the first 6 months of operation, which will be applied in the next three years to derive temporal and spatial changes of the landslide properties.

How to cite: Jaspard, M., Lave, J., Sitaula, B., Barrière, J., Gajurel, A., and Paudel, T. and the Team Slide: Multi-instrument geophysical monitoring of a km-scale slow-moving landslide in Nepal: Technical insights and preliminary results, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10241, https://doi.org/10.5194/egusphere-egu26-10241, 2026.

EGU26-10608 | Orals | NH3.3

Deep Learning-Based Assessment of Slope Creep Vulnerability Using Geophysical Survey Data 

Taeho Bong, Jihun Jeon, Eunsoo Jeong, Sieun Lee, Joon Heo, and Jungil Seo

Slope creep refers to the imperceptibly slow and gradual downslope movement of soil and rock driven by gravity. It is mainly driven by moisture-induced expansion of clay-rich materials and the resulting decrease in shear strength. Although subsurface conditions can influence slope creep vulnerability, identifying their effects remains challenging. In recent years, electrical resistivity and seismic surveys have been widely used to characterize the spatial and temporal variability of subsurface soil properties. These geophysical methods provide a non-destructive means of investigating subsurface physical characteristics. In this study, electrical resistivity and seismic surveys were conducted to assess slope creep vulnerability associated with subsurface conditions. Geophysical survey data were obtained from 124 slope sites, and their slope creep vulnerability was classified into two groups (low and high) based on field investigations. Cross-plot analysis was applied to integrate electrical resistivity and seismic velocity, and the resulting data points were classified into four quadrants according to threshold values of seismic velocity and electrical resistivity. The threshold values were statistically determined using a t-test. The composition ratios of the four quadrants were used as input variables for deep learning training, and the bedrock proportion based on seismic velocity included as an additional input. As a result, a total of five input variables were used, and deep learning training was performed by classifying slope creep vulnerability into two groups. As a result, a total of five input variables were used to train a deep learning model for classification of slope creep vulnerability into two groups. Due to the limited dataset size, five-fold cross-validation was applied for model evaluation. As a result, the deep learning model achieved an accuracy of 81.5% and a recall of 83.0% in classifying slope creep vulnerability, indicating its effectiveness in identifying slope creep–prone areas.

 

Acknowledgments: This study was carried out with the support of ´R&D Program for Forest Science Technology (RS-2025-02213490)´ provided by Korea Forest Service (Korea Forestry Promotion Institute).

 

How to cite: Bong, T., Jeon, J., Jeong, E., Lee, S., Heo, J., and Seo, J.: Deep Learning-Based Assessment of Slope Creep Vulnerability Using Geophysical Survey Data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10608, https://doi.org/10.5194/egusphere-egu26-10608, 2026.

Under the combined effects of Tibetan Plateau uplift and global climate warming, the transition zone between the northeastern Tibetan Plateau and the Loess Plateau has become one of the most landslide-prone regions worldwide. Intense tectonics, abundant material supply, and densely developed faults produce landslides with large volumes, multi-stage evolution, and complex failure mechanisms, posing severe threats to infrastructure and human safety. However, progressive deformation processes and multi-scale controls remain poorly understood.

This study investigates the Lade–Lijiaxia landslide using an integrated “space–air–ground–subsurface” framework. Field investigations, systematic mapping of cracks and rupture surfaces, high-resolution remote sensing, SBAS-InSAR monitoring (140 SAR images), XRD mineralogical analysis, and SEM observations are combined to elucidate the landslide’s structural features, time-dependent deformation, and material basis.

Results indicate: (1) The landslide’s spatial distribution, boundaries, and internal structure are strongly controlled by regional tectonics. It develops along tectonically weakened zones, with the main sliding direction aligned with dominant lineaments. The landslide comprises a distinct sliding block and a creeping block (~1.5 × 10⁸ m³), representing a tectonically controlled progressive failure mode; (2) Crack and rupture surface analysis shows dominant crack orientations of ~30° and 125°, and rupture dip directions of 130°, 310°, and 20°, reflecting rear scarp tension, internal creep, and sliding surface geometry; (3) SBAS-InSAR indicates slow deformation, with the creeping block reaching ~170 mm/yr, accelerating seasonally during summer–autumn and warm spring due to rainfall and freeze–thaw cycles; (4) XRD reveals vertical heterogeneity: clay content is ~22% in the upper Quaternary deposits and ~38% in underlying Miocene mudstone, dominated by illite. SEM shows localized clay enrichment, fragmented microstructures, and well-developed pores, providing microstructural evidence for long-term creep and strength reduction.

Overall, long-term deformation is primarily controlled by deep-seated tectonics and lithology, while shallow deformation is triggered by seasonal hydrothermal processes. These results improve understanding of progressive failure and creep evolution of large landslides at the northeastern Tibetan Plateau margin and provide insights for hazard assessment and long-term monitoring in the plateau–loess transition zone.

Map of Location Study Area

Geological Map of Study Area

How to cite: Jingqi, Z. and Genhou, W.: Deformation Characteristics and Mechanisms of a Large Landslide at the Northeastern Margin of the Tibetan Plateau Based on Multi-source Data Integration: A Case Study of the Lade–Lijiaxia Landslide, Qinghai Province, China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11055, https://doi.org/10.5194/egusphere-egu26-11055, 2026.

EGU26-11274 | ECS | Orals | NH3.3

Exploring the stability of shallow landslides through global sensitivity analysis: a proof of concept from western Rwanda 

Martina Zanetti, Alberto Armigliato, Cesare Angeli, Filippo Zaniboni, Sylvain Barayagwiza, and Catherine Meriaux

Shallow landslides represent a major hazard in western Rwanda, where steep slopes, deeply weathered materials and intense precipitation frequently interact. This study, carried out in the framework of the WALL project (Grant ID: GCRW-CL001, https://www.wallatrwanda.org/), focuses on a landslide-prone area within the Karongi District and presents a proof-of-concept analysis aimed at investigating the sensitivity of slope stability to key geotechnical and pore pressure–related parameters.

Slope stability is analysed using Scoops 3D (Reid et al., 2015), which implements three-dimensional limit-equilibrium methods (LEM) and evaluates slope stability by testing a large number of potential spherical trial failure surfaces. This approach allows for a systematic exploration of potential instability mechanisms while maintaining a computationally efficient framework suitable for regional-scale and data-scarce applications. Due to the limited availability of site-specific geotechnical data, model parameters are defined within plausible ranges derived from published literature and regional information.

Under these conditions, a global sensitivity analysis based on Sobol indices (Saltelli and Sobol, 1995) represents a suitable and robust strategy to investigate model behaviour and uncertainty. The Sobol analysis is applied to investigate the influence of key geotechnical parameters, including cohesion, internal friction angle and unit weight, and additional pore pressure accounting for hydrological conditions on slope stability results. Both first-order effects and higher-order interaction terms are analysed, providing insights into the combined mechanical and hydraulic controls on slope stability.

The proposed workflow identifies the dominant sources of variability on the output and offers a structured basis for prioritizing the quantification of geotechnical parameters in future data acquisition and model refinement, also in connection with specific triggering factors relevant for the studied area, such as rainfall.

 

 

REFERENCES

Reid, M. E., Christian, S. B., Brien, D. L., & Henderson, S. T. (2015). Scoops3D: software to analyze 3D slope stability throughout a digital landscape (No. 14-A1). US Geological Survey.

Saltelli, A., Sobol’, I. M. (1995). Sensitivity analysis for nonlinear mathematical models: numerical experience. Matematicheskoe Modelirovanie, 7(11), 16–28.

How to cite: Zanetti, M., Armigliato, A., Angeli, C., Zaniboni, F., Barayagwiza, S., and Meriaux, C.: Exploring the stability of shallow landslides through global sensitivity analysis: a proof of concept from western Rwanda, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11274, https://doi.org/10.5194/egusphere-egu26-11274, 2026.

EGU26-13251 | ECS | Posters on site | NH3.3

Multi-methodology characterisation  of low energy landslide : Example of Blamécourt (Vexin region, France) 

Gautier Vandecapelle, Philippe Robion, Raphael Antoine, Pauline Souloumiac, Cecile Finco, Frederic Lacquement, Pascale Leturmy, Francois Betard, and Dominique Frizon-de-Lamotte

Landslides are commonly investigated in mountainous regions characterized by steep slopes. In contrast, the low-plateau region of the French Vexin (Paris Basin) is shaped by slopes resulting from  ancient low-energy mass movements. The objective of this study is to describe the geometry and outcrops of an ancient landslide in order to obtain data to geologically characterize its dynamics and processes. In the French Vexin area, valleys are incised into a limestone plateau whose multilayered stratigraphy - comprising coarse limestone, fine sand and clay - controls the water table position. This water table can induce  seepage erosion within the sand layers  beneath  the limestone layers and can be considered as a predisposing factor. This leads to their fragmentation (rotational blocks) and/or their progressive dipping (i.e. cambering) towards the valley bottoms to adapt to the topography subjected to gravitational constraints. 

Recent studies conducted in a similar geological setting in the Champagne vineyards in France have improved our understanding of the links between these mass movements, substrate properties and hydrogeological conditions. However, the French Vexin region exhibits distinctive characteristics: the upper limestone layer is particularly thick and densely fractured, resulting in slope shapes that have never been studied before. 

A representative site in Blamécourt (Magny-en-Vexin, Val d’Oise) was investigated to develop methodology for characterizing slope processes and their geological context. The area includes  three disused quarries, multiple outcrops and a complex morphology. Field observations, high-resolution LiDAR, GIS mapping and electrical geophysical data were combined to analyse this complex landslide. Detailed morphological studies and characterization of geological structures in quarries beneath the plateau have revealed the state of the rock without the influence of the valley. The limestone blocks are fractured in two directions of tectonic origin, corresponding to the regional structural directions. From the plateau edge, a third structural trend aligned with the valley orientation is observed. These three structural directions persist downslope to the base of the slope, as confirmed by field observations and structural analysis. The limestone blocks covering the slope have therefore been affected by gravitational movements, whose structural boundaries result from the combined influence of inherited faults and newly formed structures.

How to cite: Vandecapelle, G., Robion, P., Antoine, R., Souloumiac, P., Finco, C., Lacquement, F., Leturmy, P., Betard, F., and Frizon-de-Lamotte, D.: Multi-methodology characterisation  of low energy landslide : Example of Blamécourt (Vexin region, France), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13251, https://doi.org/10.5194/egusphere-egu26-13251, 2026.

EGU26-13476 | ECS | Posters on site | NH3.3

Hydrological links between shallow and deep zones in a flysch landslide revealed by repeated FDEM surveys and 3D AMT imaging 

Szymon Oryński, Artur Marciniak, Sebastian Kowalczyk, Adrian Flores-Orozco, and Mariusz Majdański

The interplay between internal structure, deformation mechanisms, and subsurface hydrogeological processes controls the long-term stability of large landslides. A key unresolved issue is whether infiltrating groundwater is confined to the landslide body or can migrate into the underlying bedrock along deep-seated structural discontinuities. This problem is particularly relevant in areas underlain by steeply dipping flysch formations, where structural anisotropy may promote vertical groundwater connectivity and influence landslide reactivation. This study focuses on the Cisiec landslide in the Żywiec district of southern Poland, aiming to identify groundwater percolation pathways and their relationship to slope deformation. The landslide affects a ski slope located in a forest–meadow transition zone and moves predominantly east–northeast, with an elevation difference of approximately 100 m. Previous monitoring indicated complex kinematics but did not resolve the depth extent of groundwater infiltration or its coupling with deep geological structures.

We apply an integrated electromagnetic approach explicitly designed to resolve processes across complementary depth ranges. Shallow groundwater dynamics were monitored using time-lapse Frequency Domain Electromagnetics (FDEM), which is sensitive to depths of approximately 0–3 m and was repeated over a three-year interval. FDEM conductivity variations were used to map spatial and temporal patterns of near-surface water percolation within the landslide body. In addition, the in-phase component of the FDEM signal was exploited to detect positional changes of buried infrastructure on the ski slope. When combined with high-precision Differential GPS (DGPS) measurements, these data provided quantitative constraints on surface displacement and landslide activity. To resolve the intermediate-depth range and provide robust constraints for deep imaging, Electrical Resistivity Tomography (ERT) was conducted along five profiles across the landslide. The resulting resistivity sections, which image the subsurface to approximately 30 m depth, were incorporated as a priori resistivity constraints and starting models for the inversion of Audio-Magnetotelluric (AMT) data. This constrained inversion strategy significantly reduced ambiguity in the AMT results and ensured consistency between shallow, intermediate, and deep resistivity structures.

AMT imaging extended the investigation below 30 m depth and enabled the construction of a three-dimensional resistivity anomaly model of the landslide and its geological basement. The model reveals pronounced, near-vertical resistivity structures associated with the Carpathian flysch beneath the landslide, interpreted as preferential pathways for deep groundwater migration. The integrated interpretation of FDEM, ERT, and AMT data indicates that infiltrating groundwater is not restricted to the landslide mass but can penetrate into the bedrock along steeply oriented discontinuities. This hydrogeological connectivity between shallow infiltration zones and deep structural features provides a plausible mechanism for delayed landslide reactivation and long-term slope instability. The study highlights the importance of multi-scale, constraint-driven electromagnetic imaging for improving hazard-relevant conceptual models of complex landslide systems.

How to cite: Oryński, S., Marciniak, A., Kowalczyk, S., Flores-Orozco, A., and Majdański, M.: Hydrological links between shallow and deep zones in a flysch landslide revealed by repeated FDEM surveys and 3D AMT imaging, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13476, https://doi.org/10.5194/egusphere-egu26-13476, 2026.

EGU26-14001 | Posters on site | NH3.3

The 3-D anatomy of the Cuolm da Vi slope instability 

Cedric Schmelzbach, Tjeerd Kiers, Nils Chudalla, Florian Amann, and Yves Bonanomi

Cuolm da Vi (CdV) is a deep-seated gravitational slope deformation in central Switzerland with an estimated unstable volume of around 150 million m3. In the central part, surface displacement rates are on the order of 10 to 20 cm/yr. The ongoing south-westward deformation, which is dominated by toppling, is expressed by scarps, graben-like structures, tension cracks, and local instabilities. These landforms suggest gravitational movement guided by inherited tectonic structures. Despite detailed geomorphological mapping, geological-geotechnical investigations, and more than two decades of surface-displacement monitoring, fundamental uncertainties remain regarding, for example, the maximum depth of the unstable mass and the internal deformation processes.

Here, we integrate multiple geophysical and geological constraints into a 3-D structural model of the instability. To establish the model, we combined a 3-D P-wave velocity volume from first-arrival travel-time tomography, microseismicity detected during five months of continuous distributed acoustic sensing (DAS) monitoring, and distributed strain sensing (DSS) observations from around two years of periodic measurements, together with detailed mapping of tectonic features and available geotechnical information. We feed the geophysical and geological data into a 3-D structural and probabilistic geological modelling framework to establish a complex model of the structural features of CdV. The model covers about 1 km² at the surface and extends to a few hundred meters depth.

Low P-wave velocities (Vp < 2000 m/s) spatially coincide with mapped unstable terrain, indicating that velocity variations can help delineating comparatively intact versus more fractured/damaged rock volumes. Based on the geometry of the low-velocity domain, the maximum depth of the unstable mass in the central part is estimated at about 180-200 m. Microseismicity is concentrated within low-velocity regions and clusters near mapped tectonic features, consistent with deformation localized on key planar discontinuities. Key tectonic features are also associated with distinct DSS strain events. The resulting 3-D “static” model provides a quantitative framework for future analyses of temporal changes in microseismicity, with direct relevance for process understanding and the continued development of early-warning strategies at CdV.

How to cite: Schmelzbach, C., Kiers, T., Chudalla, N., Amann, F., and Bonanomi, Y.: The 3-D anatomy of the Cuolm da Vi slope instability, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14001, https://doi.org/10.5194/egusphere-egu26-14001, 2026.

EGU26-14514 | ECS | Orals | NH3.3

From Sliding to Flowing: Integrating Geotechnical, Mineralogical, and Rheological Controls on Earthflow Mobility 

Mariagiulia Annibali Corona, Domenico Calcaterra, Nicola Antonio Di Spirito, Francesco Izzo, Alessio Langella, Mariano Mercurio, Rossana Pasquino, Giacomo Russo, Enza Vitale, and Luigi Guerriero

Earthflows are flow-like landslides involving fine-grained, clay-rich materials that exhibit complex kinematics, long-term activity, and alternating phases of slow movement and sudden acceleration. Although their flow-like behaviour is commonly attributed to distributed internal deformation and plastic rheology, the mechanisms governing the transition from solid-like sliding to fluid-like flowing remain poorly understood, particularly with respect to boundary conditions and material properties. This transition is critical, as it may lead to surging events associated with high mobility and significant hazard.
This study investigates the role of mineralogical, geotechnical, rheological, and geomorphological factors in controlling earthflow mobility and material fluidization. A set of representative earthflows located in the southern Apennines was selected, covering a wide range of geological settings and morphological characteristics. Laboratory analyses were conducted on samples collected from different sectors of the landslides, including grain size distribution, Atterberg limits, mechanical behaviour, quantitative mineralogical composition. Moreover, rheometrical analysis of the fine fractions under controlled shear conditions were also performed. These data were integrated with long-term geomorphological analyses based on satellite imagery and morphometric reconstructions of landslide geometry.
Earthflow behaviour was analysed using a one-dimensional framework based on a Herschel–Bulkley viscoplastic rheological model, aimed at reproducing internal kinematic compartmentalisation in relation to variable water content.
The influence of water content variations, as a function of rainfall-induced infiltration conditions, on rheological parameters and mechanical response was investigated. The results highlight strong correlations between plasticity, occurrence of expandable clay minerals, rheology, and mobility, emphasizing the key role of fine-grained materials in promoting solid–fluid transitions. 
By integrating multi disciplinary datasets, this work advances the understanding and prediction of earthflow fluidization and mobility-processes for which current forecasting capabilities remain notably limited.

How to cite: Annibali Corona, M., Calcaterra, D., Di Spirito, N. A., Izzo, F., Langella, A., Mercurio, M., Pasquino, R., Russo, G., Vitale, E., and Guerriero, L.: From Sliding to Flowing: Integrating Geotechnical, Mineralogical, and Rheological Controls on Earthflow Mobility, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14514, https://doi.org/10.5194/egusphere-egu26-14514, 2026.

EGU26-14669 | ECS | Orals | NH3.3

Experimental constraints on the slip response of a slow-moving landslide to rainfall driven pore pressure changes 

Kaitlin Schaible, Demian Saffer, and Noah Finnegan

Landslide motion spans a continuum from slow, steady creep to rapid catastrophic failure. However, the mechanisms controlling the timing, rate, and nature of sliding, the sensitivity of motion to perturbations driven by precipitation or human activity, and potential transitions from creep to catastrophic failure all remain poorly understood. The response of landslide basal shear zones to rainfall-driven changes in pore pressure and thus effective stress can be interpreted using rate and state friction, a framework that describes the constitutive behavior and sliding stability of frictional shear zones, and is widely applied to earthquake mechanics. Laboratory experiments provide direct constraints on these frictional properties, and thus hold the potential to illuminate the material properties and conditions that control basal slip. We investigate the frictional behavior of Oak Ridge earthflow, a slow-moving landslide in the Coast Ranges of central California hosted within a clay-rich mélange. We conduct a suite of direct shear experiments to characterize its frictional rheology, including both (1) the velocity dependence of friction measured from velocity step tests; and (2) frictional healing, or time-dependent restrengthening between slip events, measured via slide-hold-slide tests. Experiments are conducted across a range of normal stresses approximating the in-situ conditions of the active shear plane (0.3 – 2 MPa) and at sliding velocities that span the range of observed landslide creep (0.001 – 30 𝜇m/s).

The shear plane material exhibits uniformly velocity strengthening behavior, characterized by a positive rate parameter (a-b), indicating that friction increases with increased slip rate, and is consistent with stable sliding. The values of (a-b) from laboratory experiments ranges from 0.001 – 0.015, in agreement with values inferred from coupled field observations of slide motion and pore pressure. Our results suggest that velocity strengthening friction, combined with modulation of effective stress through pore pressure, can generate slip transients, providing a direct mechanistic link between laboratory scale behavior and field observations of landslide motion.

We also find that the clay rich materials entrained along the base of the slide exhibit little to no healing (𝛽 ≈ 0). Near zero healing implies that the slide does not restrengthen during extended periods of low water pressure during the dry California summer. In the absence of healing, slip velocity responds directly and immediately to changes in pore pressure, independent of the duration of dry periods. Taken together, velocity strengthening friction and little to no healing are consistent with the persistent creep observed in the field, where the slip rate is governed by the stress state, pore pressure, and rate dependence of friction. Notably, Oak Ridge earthflow has been active since at least the 1930’s (the date of first air photos). The laboratory derived frictional rheology provides a quantitative framework to explain the observed landslide slip response to changes in pore pressure and suggests that friction laws can be used not only to interpret past slide behavior, but potentially to predict landslide responses to future climate-driven hydrologic forcing or other external perturbations.

How to cite: Schaible, K., Saffer, D., and Finnegan, N.: Experimental constraints on the slip response of a slow-moving landslide to rainfall driven pore pressure changes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14669, https://doi.org/10.5194/egusphere-egu26-14669, 2026.

Relative seismic velocity changes (dv/v) derived from ambient noise interferometry serve as a proxy for the internal rigidity or structural health of landslide materials. Strong ground motion often induces coseismic velocity drops, indicating damage within the shallow crust or the landslide body. This study focuses on the deep-seated, slow-moving Wuhe landslide in eastern Taiwan, which exhibits stable creeping with daily displacement rates ranging from 4 mm to 25 mm(Weng et al., 2025), to investigate its response to the September 2022 earthquake sequence, specifically the ML 6.6 Guanshan and ML 6.8 Chihshang earthquakes.To monitor temporal variations in the landslide's internal state, we applied the single-station cross-component (SC) technique to the Wuhe landslide using continuous ambient noise records. The seismic monitoring network comprises one geophone installed directly on the sliding mass and three reference stations located on stable bedrock outside the landslide area. This configuration aims to differentiate between landslide-specific structural changes and regional reference variations. The preliminary results showed that a clear seismic velocity reduction was found spatially within the landslide area. Through dv/v measurements with in-situ real-time kinematic (RTK) GPS data and strong-motion records, the coseismic velocity drops are in response to the accelerating surface displacement and strong ground shaking, and the spatial relationships between dv/v, surface movement and peak-ground acceleration (PGA) are systematically compared . In fact, the earthquake did not trigger catastrophic landsliding at the Wuhe site, Thus, we further investigate the recovery of landslide material properties following strong ground shaking. The post-seismic recovery duration captured by dv/v observations can help us to better understanding recovery mechanism of landslide material after earthquakes.

How to cite: Weng, H.-K. and Chao, W.-A.: Coseismic Seismic Velocity Variations of a Deep-Seated Landslide Caused by Two M6.5+ Earthquakes in Eastern Taiwan, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15810, https://doi.org/10.5194/egusphere-egu26-15810, 2026.

EGU26-16829 | Orals | NH3.3

Linking Hydrological Forcing to Seismic Sensitivity in an Unsaturated Slope Using Physics-Based Modelling 

Thomas Dylan Mikesell, Emma Brennvall Lorentzen, Luca Piciullo, and Mathilde Bøttger Sørensen

With intensifying precipitation events, landslides pose increasing environmental hazards. Unsaturated slopes are key monitoring targets due to their rapid, and sometimes severe, response to rainfall. This study investigates how hydrological changes in an unsaturated slope in Eidsvoll (Norway) influence seismic velocities through time and space using a physics-based modelling framework. Vertical effective stress and density fields from hydromechanical simulations in GeoStudio are used as inputs to the Biot-Gassmann relationship to estimate time-varying P- and S-wave velocities. These velocities are used to compute Rayleigh wave phase velocity dispersion curves and sensitivity kernels for selected days throughout a 250-day (September 2019-May 2020) simulation period. The results reveal a strong coupling between infiltration, effective stress, and seismic velocities, especially in the upper part of the unsaturated slope. Rayliegh wave sensitivity is highly frequency- and depth- dependent: high frequencies (above 60 Hz) are sensitive to near-surface changes, while lower frequencies probe deeper layers. A persistent blind zone in an intermediate high-velocity layer limits the surface waves sensitivity to certain depths, underscoring the importance of survey design and the usefulness of surface waves depending on the geologic scenario. This forward modelling approach enables identification of optimal frequency ranges and target depths, providing critical input for future field investigations. These findings contribute to the development of focused site-specific seismic monitoring strategies, including passive surveys using anthropogenic noise sources or active source MASW. By bridging hydromechanical modelling and the associated seismic response using slope-scale physical processes, this approach can support early warning systems and landslide hazard assessment under changing climate conditions.

How to cite: Mikesell, T. D., Lorentzen, E. B., Piciullo, L., and Sørensen, M. B.: Linking Hydrological Forcing to Seismic Sensitivity in an Unsaturated Slope Using Physics-Based Modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16829, https://doi.org/10.5194/egusphere-egu26-16829, 2026.

EGU26-17167 | ECS | Posters on site | NH3.3

Unveiling the role of seepage forces in the acceleration of frictional creep in fluid-saturated shear zone 

Fabian Barras, Andreas Aspaas, Einat Aharonov, and François Renard

How fluid impact frictional slip is a central question in various geological settings, from tectonic faults to friction at the base of glaciers. In this work, we study the impact of fluid infiltration on the creep dynamics of the shear zone located at the base of a densely monitored landslide in Western Norway. In Åknes, approximately 50 million cubic meter of rock mass continuously creeps over a shear zone made of rock fragments, with seasonal accelerations that strongly correlate with rainfall. In this natural laboratory for fluid-induced frictional creep, unprecedented monitoring equipment reveals low fluid pressure across the shear zone, thereby challenging the conventional theory of fluid-driven instability in landslides. Here, we show that a generic micromechanical model can disentangle the effects of fluid flow from those of fluid pressure, and demonstrate that seepage forces applied by channelized flow along the shear zone are the main driver of creep accelerations. We conclude by discussing the significance of seepage forces, the implications for hazard mitigation and the broader applicability of our model to various geological contexts governed by friction across saturated shear zones.

How to cite: Barras, F., Aspaas, A., Aharonov, E., and Renard, F.: Unveiling the role of seepage forces in the acceleration of frictional creep in fluid-saturated shear zone, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17167, https://doi.org/10.5194/egusphere-egu26-17167, 2026.

EGU26-17252 | Posters on site | NH3.3

Rapid estimation of block volumes from seismic noise measurements and an eigenfrequency abacus  

Veronica Pazzi, Simone Francesco Fornasari, Stefano Devoto, Giovanni Costa, and Emanuele Forte

Estimating the volume of potentially unstable rock masses is a critical yet challenging task in landslide characterization. Traditional methods often struggle to accurately define the height and actual separation of rock blocks because of the hidden nature of fracture persistence. In engineering geology and geophysics, natural frequency (f0) refers to the fundamental modes of vibration of materials, rock masses, soil layers, entire slopes, as well as different man-made structures. A variety of studies have explored the natural frequency and resonance phenomena across contexts using both experimental and numerical approaches.

This work is based on the principle that specific peaks in the Horizontal to Vertical Spectral ratio (H/V) curves of rock blocks are linked to their eigenfrequencies rather than stratigraphic resonance proposes. These frequencies are characterized by strong polarization and linearity normal to the fracture network. Thus, the frequency (fHV) estimated from H/V measurements, is considered a good approximation/estimator of f0 (the block eigenfrequency) and an innovative approach to estimate block volumes from an abacus is proposed. The eigenfrequency-volume abacus was build using Finite Element Method (FEM) simulations. Rock blocks were modelled as rectangular cuboids with fixed boundary conditions at the base, similar to an Euler–Bernoulli cantilever. The simulations integrated site-specific mechanical parameters (Young’s modulus, density, and Poisson’s ratio) consistent with a S-wave velocity of approximately 850 m/s.

The procedure was validated using seismic noise datasets from two test sites on Malta Island (Anchor Bay and Il-Qarraba), where independent volume data from UAV-Digital Photogrammetry and satellite imagery were available. The proposed six-step workflow - ranging from data acquisition to the integration into the abacus of fHV with independent surface area (A) measurements - provides a reliable approximation of the volume's order of magnitude, even with errors in frequency selection.

A key advantage of this method is the ability to use easily obtainable seismic noise data to infer structural properties. Furthermore, discrepancies between abacus-derived volumes (Vest) and field-calculated volumes (Vcalc) can serve as indicators of fracture persistence: Vest < Vcalc suggests fractures are less persistent than they appear, while Vest > Vcalc indicates higher isolation from the rock mass. While the current abacus is site-specific, the methodology is adaptable to different geological backgrounds. This tool represents a significant step forward for rapid, non-invasive rockfall hazard assessment and the characterization of block-release susceptibility.

How to cite: Pazzi, V., Fornasari, S. F., Devoto, S., Costa, G., and Forte, E.: Rapid estimation of block volumes from seismic noise measurements and an eigenfrequency abacus , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17252, https://doi.org/10.5194/egusphere-egu26-17252, 2026.

EGU26-17460 | ECS | Orals | NH3.3

3D structure and deformation evolution of a large deep-seated toppling revealed by GMM-based multi-source geophysical integration 

Hui Wang, Xiangjun Pei, Zhanjun Quan, Shenghua Cui, Shiping Xing, and Yu Wang

Exploring the internal structure of large landslides is crucial for understanding their deformation mechanisms and conducting stability assessments. However, traditional exploration methods, such as drilling, provide only localized information and fail to reflect the spatial continuity of subsurface structures. Single geophysical methods also face challenges in accurately characterizing deep-seated structures due to inversion non-uniqueness and interpretative ambiguity. Multi-source geophysical data fusion is considered an important approach to reduce ambiguity and improve modeling reliability, but existing research largely focuses on shallow landslides, lacking effective methods for the three-dimensional reconstruction of large deep-seated rock landslides. Taking the Tizicao deep-seated toppling on the eastern edge of the Tibetan Plateau as an example, this study proposes a multi-source geophysical data fusion modeling method based on the Gaussian mixture model (GMM). This method comprehensively utilizes electrical resistivity tomography (ERT), multi-channel surface wave exploration (MASW), the horizontal and vertical spectral ratio method (HVSR) for ambient noise, and UAV photogrammetry to achieve the fusion and classification of multiple parameters such as resistivity, shear wave velocity, and structural depth. By automatically partitioning the geophysical feature space using GMM, a three-dimensional model of the Tizicao toppling is constructed. The three-dimensional model is highly consistent with the borehole results, verifying the reliability of the fusion modeling method. In addition, the deep-seated structure revealed by the three-dimensional model plays a key controlling role in the initiation of slope instability. Overall, the proposed GMM-based multi-source geophysical fusion method not only enables accurate reconstruction of the internal structure of large deep-seated rock landslides but also provides a new technical pathway for mechanism analysis and hazard prediction of large deep-seated landslides.

Keywords: Deep-seated toppling; Multi-source geophysical integration; Gaussian Mixture Model (GMM); 3D structural modeling; Deformation evolution.

How to cite: Wang, H., Pei, X., Quan, Z., Cui, S., Xing, S., and Wang, Y.: 3D structure and deformation evolution of a large deep-seated toppling revealed by GMM-based multi-source geophysical integration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17460, https://doi.org/10.5194/egusphere-egu26-17460, 2026.

Global warming has accelerated glacier retreat and permafrost degradation in high-elevation regions, significantly increasing the frequency and magnitude of glacier-related debris flows. This study focuses on Tianmogou, a debris-flow-prone catchment on the Tibetan Plateau, where three broadband seismometers were deployed for continuous monitoring during the active period. Using ambient noise interferometry, relative seismic velocity changes (dv/v) and the effective decorrelation coefficient (dCe) were calculated to achieve high-resolution characterization of the temporal evolution of subsurface mechanical properties.

The results show that dv/v exhibits pronounced seasonal variations and is significantly negatively correlated with soil temperature, while short-term hydrological processes, such as intense rainfall and snowmelt, lead to rapid dv/v decreases accompanied by marked dCe increases. Notably, several hours prior to multiple debris-flow events, persistent dv/v reductions and rapid dCe increases were consistently observed as precursory signals, with rainfall-triggered events (e.g., 10 July 2020) displaying particularly prominent precursory characteristics. By jointly analyzing seismic velocity changes, precipitation, and soil moisture, this study reveals the progressive degradation of subsurface media during debris-flow initiation and demonstrates the potential of seismic methods for long-term hazard monitoring in glacial and periglacial environments.

How to cite: Lyu, A. and He, S.: Seismic Precursory Velocity Changes Associated with Debris Flows in Tianmogou Inferred from Ambient Noise Interferometry, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17858, https://doi.org/10.5194/egusphere-egu26-17858, 2026.

EGU26-17967 | Orals | NH3.3

Assessing Climate-Driven Changes in Rainfall-Induced Landslide Probability Using Distributed Hydrological Modeling 

Elisa Arnone, Juby Thomas, Diego Ciriminna, and Antonio Francipane

Rainfall-induced shallow landslides represent a critical natural hazard in mountainous regions, with their frequency controlled by hydrological processes. Climate change is expected to alter both precipitation patterns and soil moisture dynamics but quantifying these impacts on landslide susceptibility remains challenging.

In this study, we integrate physically-based stability thresholds with distributed hydrological modeling to assess future landslide hazard evolution under multiple climate scenarios. The study is conducted for a small basin (~28 km2) located in the north-eastern Friuli Venezia Giulia (Italy).

Spatially explicit Critical Soil Moisture (CSM) and Critical Wetness Index (CWI) thresholds at 50 m resolution were derived in a previous effort for multiple failure depths (0.75 to 2.00 m) by inverting the infinite slope stability analysis. The thresholds represent hydrological conditions at which slope failure may initiate through either unsaturated zone processes or groundwater table rise. These thresholds were coupled with a calibrated distributed and physically-based hydrological model, the Triangulated Irregular Network‐based real‐time integrated basin simulator (tRIBS), which simulates hourly soil moisture and groundwater dynamics, to assess the occurrence of failure over 100-year periods for three synthetically generated climate scenarios: current conditions, moderate emissions (RCP4.5, 2050), and high emissions (RCP8.5, 2050). The synthetic series of meteorological variables, and particularly precipitation, were generated by combining the AWE-GEN (Advanced WEather GENerator) model with a procedure to correct the distribution of extreme events.

We quantify exceedance frequencies, i.e., the proportion of time during which CSM and CWI thresholds are exceeded, as a measure of temporal exposure to landslide-conducive conditions. Results reveal that, under RCP4.5, exceedance frequencies decrease by up to 14.6% (CWI) and 10.9% (CSM), due to a reduction in annual precipitation despite an increase in mean intensity per event. In contrast, RCP8.5 shows bidirectional patterns, with maximum increases reaching 5.1% (CWI) and 3.6% (CSM), indicating that precipitation intensification begins to overcome the reduction in annual precipitation. Critically, climate impacts amplify with failure depth; the 2.00 m failure depth exhibits changes in magnitude up to three times greater than those at 0.75 m, suggesting that deeper failures become disproportionately more sensitive to climate change.

This research received funding from European Union NextGenerationEU – National Recovery and Resilience Plan (PNRR), Mission 4, Component 2, Investment 1.1 -PRIN 2022 – 2022ZC2522 - CUP G53D23001400006.

How to cite: Arnone, E., Thomas, J., Ciriminna, D., and Francipane, A.: Assessing Climate-Driven Changes in Rainfall-Induced Landslide Probability Using Distributed Hydrological Modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17967, https://doi.org/10.5194/egusphere-egu26-17967, 2026.

EGU26-19557 | ECS | Posters on site | NH3.3

Reconstructing rainfall-induced landslides at the global scale 

Yi Xia and Ke Zhang

Rainfall-induced landslides are among the most widespread and destructive natural hazards, yet their physical reconstruction has rarely been explored beyond local or regional scales. We present a simplified slope-stability framework driven entirely by globally available rainfall, soil, and topographic datasets, and demonstrate its ability to reproduce thousands of rainfall-triggered landslides documented in the Global Landslide Catalog (GLC).By avoiding computationally intensive hydrological simulations while retaining physical interpretability, the proposed approach enables large-scale reconstruction of rainfall-induced slope failures across diverse environmental settings. Sensitivity analyses indicate that slope geometry and rainfall forcing primarily control proximity to failure and its timing, whereas soil bulk density exerts a disproportionate influence on model uncertainty due to its structural role in both mechanical resistance and hydrological response.Model performance is strongest in tropical and temperate regions, while reduced skill is observed in arid and cold climates, where failures tend to be conservatively predicted, favouring early-warning applications. Under scenarios characterised by intensified extreme rainfall, the framework suggests an overall increase in global slope instability. These results demonstrate the feasibility of reconstructing rainfall-induced landslides at the global scale using simplified physical representations, and highlight key directions for further improvement, including vegetation effects, subsurface heterogeneity, and hydrological process representation.

How to cite: Xia, Y. and Zhang, K.: Reconstructing rainfall-induced landslides at the global scale, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19557, https://doi.org/10.5194/egusphere-egu26-19557, 2026.

EGU26-19964 | ECS | Posters on site | NH3.3

Sensitivity Analysis of Physically-based 3D Landslide Susceptibility Model from Variation of Input Parameters 

Enok Cheon, Marie Gotaas, Sivert Pettersen, Emir Ahmet Oguz, Amanda DiBiagio, and Luca Piciullo

Shallow landslides frequently occur on natural slopes and cause flow-like disasters. The authors have previously developed 3-Dimensional Translational Slide (3DTS), a physically-based 3D shallow landslide susceptibility model accounting for side resistance and vegetation effects, to efficiently evaluate the slope stability in terms of the factor of safety (FS) over a regional scale. Traditionally, a deterministic slope stability analysis was performed by assigning representative values to rainfall history, soil layers, and soil properties; however, new design standards demand reliability-based analyses that account for the uncertainty and variation in precipitation, subsurface conditions, soil hydro-geotechnical properties, and vegetation root reinforcement. Therefore, this research proposes extending the developed model into a 3-Dimensional Translational Slide-Probabilistic (3DTSP) model to enable reliability-based landslide susceptibility assessment. The developed 3DTSP model combines the generalized Green-Ampt infiltration model and the 3D Janbu simplified slope stability model. The 3D slope stability analysis accounts for additional soil frictional resistance at the side regions in translational slides and additional reinforcements from tree roots. The 3DTSP model uses a Monte Carlo simulation with a random-field approach to determine the FS statistical distribution from variations in the following input parameters: soil thickness, hydraulic properties, Mohr-Coulomb criterion-based shear strength properties, unsaturated soil strength properties, and vegetation resistance properties. Based on the statistical distribution and characteristic length, the model generates a random field of input parameters that accounts for spatial variation in the horizontal direction. For each Monte Carlo simulation iteration, a new random input field is generated to compute FS. The performance and applicability of the developed 3DTSP for probabilistic assessment of landslide susceptibility over regional scales were demonstrated by analyzing landslide case studies. A sensitivity study was conducted to assess the sensitivity of FS to variations in soil thickness, soil properties, and vegetation properties.

How to cite: Cheon, E., Gotaas, M., Pettersen, S., Oguz, E. A., DiBiagio, A., and Piciullo, L.: Sensitivity Analysis of Physically-based 3D Landslide Susceptibility Model from Variation of Input Parameters, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19964, https://doi.org/10.5194/egusphere-egu26-19964, 2026.

EGU26-21563 | Posters on site | NH3.3

Mapping Landslide Susceptibility in the Moldavian Plain, Romania 

Radu Irimia, Ionut Sandric, and Viorel Ilinca

Shallow landslides represent a frequent geomorphological process in the study region, located in northeastern Romania. The area is characterized by gently undulating interfluves, fragmented slopes, and deeply incised valleys, developed predominantly on clayey substrates. These predominantly shallow slope failures have significant impacts on intensive agriculture, rural infrastructure, and slope stability. Recent climatic variability and anthropogenic modifications of land use amplify the vulnerability of this geomorphological unit. This study presents a detailed assessment of shallow landslide susceptibility through the integration of an extensive landslide inventory with conditioning factors derived from high-resolution geospatial data. The landslide inventory was developed predominantly using digital elevation models generated from LiDAR data (1–2 m resolution), complemented by current orthophotos, drone aerial imagery, slope maps, and selective field validation. The use of LiDAR data substantially improves the precision of delineating shallow unstable features and reduces propagation errors associated with conventional lower-resolution DEMs. This methodology enabled the precise delineation of hundreds of active and relict shallow landslide features, surpassing the limitations of traditional inventories based on photogrammetry or global DEMs.
Relevant conditioning factors for slope dynamics in this region included slope angle, aspect, plan and profile curvature, lithological units (predominantly Miocene-Pliocene clayey deposits), land use, and distance to the drainage network. The dataset was divided into 70% for calibration and 30% for independent validation. The Presence Only Model performance was evaluated through ROC curves and AUC metrics, with values consistently demonstrating excellent predictive performance of the hybrid approach employed.
Results highlight zones of high and very high susceptibility to shallow landslides concentrated along major valleys and their tributaries, and on slopes exceeding 12–15°, where favourable lithological conditions overlap with intensive agricultural land uses or reduced vegetation cover. Methodologically, this study aligns with established international approaches for landslide susceptibility assessment but distinguishes itself through the use of high-resolution LiDAR data (1–2 m), specifically adapted to the morphological context of the region—an area with gently rolling relief and deeply incised valleys. This choice enables substantial reduction of topographic uncertainties inherent in models based on medium or low-resolution DEMs, thereby improving the precision of shallow instability feature delineation and the robustness of local predictions. The result is a susceptibility model with high transferability potential to other similar geomorphological units in plain-to-hill transition zones affected by shallow landsliding.

How to cite: Irimia, R., Sandric, I., and Ilinca, V.: Mapping Landslide Susceptibility in the Moldavian Plain, Romania, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21563, https://doi.org/10.5194/egusphere-egu26-21563, 2026.

EGU26-22967 | ECS | Orals | NH3.3

Understanding and Zoning Rainfall-Induced Landslide Hazards in Indonesia: Insights from Observation to Forecasting 

Lisa Agustina, Christian Arnhardt, Maximillian Van Wyk De Vries, Ekbal Hussain, David Large, and Barbara Turnbull
As one of the most destructive natural hazards, landslides pose persistent threats to human life, property, and critical infrastructure in Indonesia, where intense rainfall and steep, complex terrain strongly control landslide occurrence and impacts. Although landslides may be triggered by multiple factors, including earthquakes and prolonged rainfall, rainfall remains the only trigger that can be forecasted, making it central to operational landslide early warning. Between 2019 and 2024, based on Indonesian Disaster Information Database (DIBI–BNPB), more than 4,000 landslides were recorded across Indonesia, causing substantial loss of life and widespread damage to housing and public infrastructure.
At present, landslide early warning in Indonesia relies on a single nationwide rainfall threshold, which may limit forecast accuracy and reliability given the country’s strong spatial variability in rainfall patterns and geomorphological conditions. Developing rainfall thresholds at large spatial scales is therefore challenging. To address this limitation, this study adopts a zoning approach that prioritises areas with high landslide susceptibility and potentially severe impacts, providing a targeted basis for subsequent threshold development.
Landslide susceptibility maps are produced using the Analytical Hierarchy Process (AHP), chosen in preference to data-driven methods due to biases and incompleteness in the available landslide inventory, which tends to reflect population distribution rather than true landslide source areas. Two provinces, Central Java and South Sulawesi, are selected as initial case studies. According to the data from Local Indonesian Disaster Management (BPBD), more than 2,000 landslides were recorded in Central Java between 2016 and 2025, while over 500 events were documented in South Sulawesi between 2021 and 2025.
Population density, building distribution, landslide susceptibility, and landslide runout probability are integrated to identify zones with the highest potential impacts. These high-impact zones serve as priority areas for developing more representative rainfall thresholds, with the aim of improving landslide forecasting and risk reduction in Indonesia.

How to cite: Agustina, L., Arnhardt, C., Van Wyk De Vries, M., Hussain, E., Large, D., and Turnbull, B.: Understanding and Zoning Rainfall-Induced Landslide Hazards in Indonesia: Insights from Observation to Forecasting, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22967, https://doi.org/10.5194/egusphere-egu26-22967, 2026.

Since the Quaternary Pleistocene, the estuary region of the Yangtze River in China has undergone extensive sedimentation due to the combined effects of tectonic movements, ancient river systems, paleo-marine environments, and other geological factors, resulting in a thick sequence of Quaternary deposits exceeding hundreds of meters in depth. In engineering practice, the complex interaction between groundwater conditions and soil has led to incidents of foundation pit instability. Previous research on ensuring the safety of foundation pit construction under such geotechnical conditions has primarily focused on catastrophic phenomena such as soil piping and boiling; however, these studies often fail to adequately explain certain accidents that occur without evident signs of such failures. This study investigates the micro-scale migration and structural reorganization of soil particles induced by groundwater seepage, using the foundation pit project of Nantong Metro as a case study. A combination of physical model testing and discrete element method (DEM) simulations is employed to analyze the underlying mechanisms. The results indicate that soil settlement resulting from pore water pressure dissipation due to groundwater level fluctuations is significantly smaller than the differential settlement caused by seepage forces. The formation of a "sand-clay" dual structure in the soil is attributed to the combined influence of marine and fluvial sedimentation processes. The loss of clay particles induces compression of the sand skeleton, which constitutes the primary mechanism responsible for macroscopic soil mass settlement. Specifically, localized leakage at weak zones of the waterproof curtain can trigger fine particle loss and progressive weakening of the silt layer structure, leading to uneven settlement, lateral displacement, or even instability of the retaining system—posing significant risks to foundation pit safety. 

How to cite: Zou, P. and Deng, Y.: Environmental effects of dewatering procedure when subway's deep excavation in marine continental sedimentary soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7139, https://doi.org/10.5194/egusphere-egu26-7139, 2026.

EGU26-10807 | Posters on site | HS8.3.5

Impact of Overflow Weirs on Unsaturated Soil Water Dynamics in Agricultural Farmland 

Saadeddine El Hajjar, Niklas Keßel, Karl Broich, Markus Disse, and Nicole Tatjana Scherer

Agricultural farmland requires a delicate balance between providing sufficient water to crops and draining away excess moisture. This drainage is normally achieved through digging trenches that run through farming areas, allowing surplus water to flow away as surface runoff, contributing to river networks downstream. This drainage is soil-dependent and mostly uncontrolled, resulting in excessive water losses at critical points throughout the year, especially during dry periods.  This water might have contributed to plant growth otherwise.

To address this issue, the Wasserwirtschaftsamt Ansbach is leading a pilot project that aims to retain part of this excess water before it is lost as runoff. By installing overflow weirs along agricultural trenches, water can be temporarily stored and allowed to infiltrate back into the soil when moisture levels are low.

The project “Grüne Gräben” aims to investigate the effects of these weirs on both local and regional scales. Using numerical models, it is possible to quantify how much water is retained and subsequently re-infiltrated into the soil system. To achieve this, the project utilizes HydroGeoSphere (HGS), an integrated, physically based hydrological model that simulates interactions between surface water, unsaturated soil, and groundwater. Unlike simplified conceptual models, HGS numerically solves the Richards equation for variably saturated flow in the porous medium together with the diffusion wave equation for overland flow. This coupling allows for a detailed understanding of the interaction between the stored surface water and resultant infiltration into the unsaturated zone over space and time.

The meteorological, soil moisture, and soil textural data collected from field excursions are used to calibrate and validate the models. Parameters such as hydraulic conductivity, porosity, and soil-water retention characteristics allow for an assessment from a physically based approach. Additionally, vegetation and root growth provide a realistic representation of the evapotranspiration resulting from crop growth and harvesting. This, along with the infiltration resulting from the presence of the weir, helps determine the extent of evapotranspiration enhancement from the newly available soil moisture.

By modelling scenarios with and without overflow weirs, Hydrogeosphere provides data on the net benefit of installing such land management practices. The outcomes of these studies help in gauging whether this practice is worth scaling to other farms around Bavaria with similar soil characteristics.

How to cite: El Hajjar, S., Keßel, N., Broich, K., Disse, M., and Scherer, N. T.: Impact of Overflow Weirs on Unsaturated Soil Water Dynamics in Agricultural Farmland, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10807, https://doi.org/10.5194/egusphere-egu26-10807, 2026.

EGU26-12089 | ECS | Posters on site | HS8.3.5

Modeling Unsaturated Soil Water Transport Based on Loss-attentional Physics-informed Neural Networks 

Jiaxian Li, Yanjie Song, Pengcheng Zhou, Junping Ren, Amirul Khan, and Xiaohui Chen

Physics-informed neural networks (PINNs) have recently attracted increasing attention as a data-efficient framework for solving partial differential equations governing complex subsurface flow processes. PINNs provide a promising alternative to conventional numerical methods for modeling unsaturated soil water flow, which is typically described by highly nonlinear governing equations. However, when applied to complex infiltration problems, conventional PINNs often suffer from imbalanced loss terms associated with initial conditions, boundary conditions, and governing equation residuals, leading to slow convergence and suboptimal accuracy.

In this study, a Loss-Attention Physics-Informed Neural Network (LAPINN) framework is employed to simulate unsaturated infiltration processes under both steady-state and transient conditions. The employed framework incorporates a loss-attention mechanism that adaptively reweights individual loss components during training, enabling the network to dynamically focus on regions and constraints that are more difficult to satisfy. This adaptive strategy effectively alleviates loss imbalance and enhances training stability without requiring manual tuning of loss weights.

The performance of LAPINN is systematically evaluated using three representative benchmark problems: (1) one-dimensional steady-state unsaturated infiltration, (2) one-dimensional transient unsaturated infiltration, including an inverse problem for hydraulic parameter identification, and (3) two-dimensional transient unsaturated infiltration with a prescribed Dirichlet boundary condition at the soil surface. Both forward and inverse modeling capabilities of the proposed framework are investigated.

The results demonstrate that LAPINN consistently outperforms standard PINNs in terms of prediction accuracy and convergence efficiency across all benchmark cases. In addition, the proposed method enables reliable inversion of hydraulic parameters using limited observational data. These results indicate that LAPINN provides a robust and efficient computational framework for modeling unsaturated soil water flow and offers strong potential for data-scarce hydrological and geotechnical applications.

How to cite: Li, J., Song, Y., Zhou, P., Ren, J., Khan, A., and Chen, X.: Modeling Unsaturated Soil Water Transport Based on Loss-attentional Physics-informed Neural Networks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12089, https://doi.org/10.5194/egusphere-egu26-12089, 2026.

The van Genuchten-parameterization (vG) of the soil water retention curve (SWRC) has been very popular for over four decades, but it has some physical inconsistencies at the dry and the wet end. The recently introduced Rossi–Ippisch–Adaptation (RIA) of vG resolves these by introducing an air-entry value and eliminating the residual water content. Unlike any other parameterization of the SWRC, RIA can transition smoothly from a sigmoidal vG-type curve to a power-law Brooks-Corey curve. We elucidate how α determines the existence and location of an inflection point, which determines if the resulting curve is sigmoidal or not. We also present a criterion to determine the limit at which the RIA curve converges to the more parsimonious Brooks–Corey power-law form. As a preparation for future work, we explored if a hysteric version of RIA is feasible. Expressions for its main drying and wetting curves are provided, showing that hysteresis in RIA necessarily induces hysteresis in the shape parameters α and n. A practical closed-form relation is proposed to estimate a hysteretic parameter set for the main wetting curve when measurements are only available for the main drying curve.

How to cite: de Rooij, G. H. and Nambiar, A.: A soil water retention curve that can transition between Brooks-Corey and van Genuchten can be made hysteric in principle., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12092, https://doi.org/10.5194/egusphere-egu26-12092, 2026.

EGU26-13228 | ECS | Posters on site | HS8.3.5

Modelling Interflow in Seasonally Frozen Soils: A Comparison of Hydraulic Parameterisations 

Anne Hermann, Reinhard Drews, and Olaf Cirpka

Interflow in seasonally frozen soils plays a key role in winter runoff generation and groundwater recharge. Uncertainty in the physical processes governing soil freezing has resulted in a wide range of parameterisations to capture ice-induced changes in pore-space connectivity. Although several numerical models for partially frozen soils have implemented these parameterisations, their impact on interflow development has not been systematically assessed.

In this work, we investigate how different hydraulic parameterisations of frozen soils influence interflow dynamics in sloping terrain. We compare three published parameterisations: (i) a capillary-bundle model following Watanabe and Flury (2008), (ii) an impedance-factor-based reduction of hydraulic conductivity, and (iii) a drying assumption in which ice formation reduces liquid water availability. To compare them, we developed a two-dimensional finite volume solver for coupled heat and water transport. This unified framework, implemented in JAX to enable high-performance computing in Python, allows us to isolate parameterisation effects from numerical artefacts. We conduct two-dimensional simulations to analyse the dynamics of interflow during freezing and thawing periods. The results show substantial differences in both the timing and intensity of interflow among the parameterisations.  

Our findings demonstrate that the choice of frozen-soil hydraulic parameterisation can strongly affect simulated runoff and infiltration partitioning. These results underscore the importance of parameterisation choice for hydrological modelling in cold regions with increasingly frequent midwinter melt events.

 

Watanabe K., Flury M. Capillary bundle model of hydraulic conductivity for frozen soil. Water Resour. Res., 44(12), 2008. doi:10.1029/2008WR007012.

How to cite: Hermann, A., Drews, R., and Cirpka, O.: Modelling Interflow in Seasonally Frozen Soils: A Comparison of Hydraulic Parameterisations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13228, https://doi.org/10.5194/egusphere-egu26-13228, 2026.

EGU26-17566 | ECS | Posters on site | HS8.3.5

Numerical Modelling of Noordbergum Effect Using Coupled Poromechanics Approach 

Himanshu Srivastava and Anirban Dhar

The soil-water constitutive relationship was first introduced by Terzaghi for pore fluid pressure driven one-dimensional consolidation [1]. M. A. Biot later established a three-dimensional constitutive relationship for pore-saturated soil system [2]. The interaction between porous media and fluid is a complex coupled phenomenon governed by the intricate relationship between the soil matrix and the pore-occupying fluid. Closed form solutions of this poroelastic model can only be obtained for highly simplified cases. Numerical modelling is widely accepted method for simulating the poromechanical scenarios. An Open-Source based model, satBiotFoam, is developed over the Finite-Volume (FV) based framework of OpenFOAM® for solving coupled poromechanical problems. The proposed model employs an iterative approach based on mathematical operator splitting to eliminate non-physical oscillations. The presented model is capable of accurately capturing coupled interaction validated against widely accepted benchmark solutions. This coupled constitutive relationship is characterized by a non-monotonic pressure variation in deforming porous media or pumped aquifer systems. This phenomenon was first reported from the well fields of Noordbergum village in the Netherlands by Verruijt [3].  Noordbergum and Reverse Noordbergum Effects are such poromechanical phenomena which can be captured using the proposed model. The present works aims to characterize these phenomena under various homogeneous and heterogeneous domains, demonstrating the applicability of the model for poromechanical applications near pumping and recharging wells. A variety of two- and three-dimensional problems are presented related to soil deformation and pumping in aquifer-aquitard systems with physically consistent solutions. Findings of the proposed work aims to understand the critical physical relationship among pore fluid and heterogenous/homogeneous soil systems under aquifer pumping or recharging scenarios.

References:

[1] Terzaghi, C., 1925. Principles of soil mechanics: V-physical differences between sand and clay. Eng. News Rec. 96, 912–915.

[2] Biot, M. A. (1941). General Theory of Three‐Dimensional Consolidation. Journal of applied physics, 12(2), 155-164.

[3] Verruijt, A., 1969. Elastic storage of aquifers. In: Flow Through Porous Media, vol. 1. San Diego, California, pp. 331–376.

How to cite: Srivastava, H. and Dhar, A.: Numerical Modelling of Noordbergum Effect Using Coupled Poromechanics Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17566, https://doi.org/10.5194/egusphere-egu26-17566, 2026.

EGU26-19624 | Posters on site | HS8.3.5

Simulating agricultural water management strategies using an integrated surface subsurface hydrological model under future climatic extremes 

Jelte de Bruin, Martine van der Ploeg, Nikola Rakonjac, Ruud Bartholomeus, Janine de Wit, and Syed Mustafa

Farmers face increasingly more uncertainty with regards to crop production of due to a changing climate. Temperature and precipitation patterns change, with prolonged periods of heats and droughts. This affects the crop growth season in terms of overall duration and increases the uncertainty of the crop growth conditions. Especially crop water availability is of importance to generate a good yield. Various management strategies can help to manage the water availability, such as drainage, irrigation infrastructures or a combination of both. Within the EU FARMWISE project, various water management strategies are evaluated that could help farmers mitigate future extreme weather conditions. The goal is to determine how various irrigation strategies perform under future climatic conditions.

The management strategies under investigation are traditional sprinkler irrigation, subirrigation and a combination of controlled subirrigation with tile drainage. Utilising HydroGeoSphere (HGS), a 3D physics-based integrated surface-subsurface model was setup of an experimental field in the Netherlands. At the field site, an irrigation system, comprising of a controlled drainage with subirrigation is being monitored. The HGS model was calibrated using the field data to simulate the natural groundwater fluctuations, as well as the controlled drainage and subirrigation.

To determine the effectiveness of the water management scenarios under various climatic scenarios, the water management scenarios were implemented into the calibrated model. The hydraulic head response and soil moisture content were the parameters of interest. To represent the future climate scenarios, precipitation and evapotranspiration from the SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios over three time horizons were used. All model results in terms of hydraulic head and soil moisture response are currently being analysed to determine the effectiveness of the various management strategies under different climates.

How to cite: de Bruin, J., van der Ploeg, M., Rakonjac, N., Bartholomeus, R., de Wit, J., and Mustafa, S.: Simulating agricultural water management strategies using an integrated surface subsurface hydrological model under future climatic extremes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19624, https://doi.org/10.5194/egusphere-egu26-19624, 2026.

EGU26-20211 | Posters on site | HS8.3.5

From teaching the hydrological functions of healthy soils to CBPR through a replica of Charles and Horace Darwin’s observations on the action of worms 

Stefano Barontini, Anna Camplani, Elena Curti, Mario Ferrari, Giovanna Grossi, Matteo Marra, Marco Peli, and Paolo Vitale

In this memory we report about aims, methods and present findings of the WormEx II experiment. The WormEx II experiment is a 4-years lasting educational experiment and a citizen-based participatory research (CBPR) performed in high-school classes, in view of attracting students’ attention on the hydrological role of healthy soils, through the observation and quantification of earthworm digging activity and of its hydrological role.

The core of the experiment consists in replicating Charles and Horace Darwin’s famous observations on the sinking of stones, published in 1881 and 1901 respectively. We reproduced a couple of wormstones (inspired by that positioned by Horace Darwin at Down House), and we placed them in the garden of the Liceo Copernico high-school in Brescia in March 2022. Since then many sinking measurements and infiltration tests (with different earthworm activity) were performed with the participation of high-school and university students, teachers and faculty staff.

The analysis of the experiment is multi-faceted and deserves intriguing interpretative keys. Firstly students meet Charles and Horace Darwin’s original works on the matter, thus (partially or integrally) reading them, under the guidance of the teachers. They go in depth with the text analysis and through their data, recognizing both Charles’ rigorous epistemological approach based on ample data collection and Horace’s attitude at designing a replicable experiment to obtain controlled and good quality data. This introduces them to the dialectics between data collection and experiment design and replicability, standing at the basis of modern Hydrology and of many natural sciences. Contextually they deal with the scientific relevance of patient practice and long lasting series. According to Charles Darwin’s definition of «minima», students appreciate how meaningful changes in Nature are mostly given by the continue and reiterated superimposition of minimal ones. They observe aspects of earthworm ecology, regarding their digging activity into relationship with the antecedent meteorological conditions and recognize the soil attitute at behaving as a low-pass filter of the meteorological variability.

Finally, by means of managing the datasets of the sinking and of the micrometeorological measures, and interpreting the infiltration tests, they qualitatively and quantitatively compare their findings with ancient ones, and approach the issue of quantitative treatment of data and of scientific reporting, thus attempting to overcome the mainly qualitative approach of most CBPR activities.

How to cite: Barontini, S., Camplani, A., Curti, E., Ferrari, M., Grossi, G., Marra, M., Peli, M., and Vitale, P.: From teaching the hydrological functions of healthy soils to CBPR through a replica of Charles and Horace Darwin’s observations on the action of worms, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20211, https://doi.org/10.5194/egusphere-egu26-20211, 2026.

EGU26-1244 | ECS | Orals | HS8.3.3

Modeling the effects of soil structure dynamics on soil hydraulic properties.  

Daria Vdovenko, Frederic Leuther, and Efstathios Diamantopoulos

Soil structure is shaped by the dynamic interaction of physical, chemical, and biological processes, functioning across a wide range of spatial and temporal scales. Alterations in soil structure can, in turn, regulate essential soil processes such as the transport and reactivity of solutes, evaporation and water fluxes, microbial activity, etc., ultimately influencing biogeochemistry in soils and ecosystem functioning. However, the majority of modern widely used predictive models do not account for these dynamics and treat soil structure and thus soil hydraulic properties (SHP) as static. Recently, Jarvis et al. introduced the USSF model, a framework designed to integrate dynamic changes in soil structure and the consequent evolution of SHP. In this contribution, we build on the hydrological component of the USSF model to enhance its flexibility and enable a more accurate representation of SHP in both the soil matrix and structural part.

The USSF model simulates soil matrix water flow using the Brooks–Corey formulation, which assumes a non-zero residual water content at oven-dry matric potentials and exhibits physically inconsistent variability in the extremely dry region of the water retention curve. The soil structural domain is represented through an empirical macropore model with fixed boundaries of the structural pore size distribution. We introduce a more flexible and physically consistent description of matrix SHP based on the Brunswick model, coupled with a fracture-domain hydraulic formulation derived from the Tuller-Or model to represent structural pore flow.

The extended model was evaluated for two contrasting agricultural management strategies: direct seeding (DS) and conventional tillage (CT), with both systems initialized using a 10-year conventional tillage warm-up period. For both systems, soil organic matter was the primary driver of long-term porosity dynamics, with the direct seeding system reaching equilibrium within 10 years in the former plough layer, at 0-25 cm depth. The simulated SHP profiles aligned with published data, capturing a transient post-tillage increase in saturated hydraulic conductivity (Ksat) under CT, followed by rapid structural settling. Under DS temporal Ksat variability was lower. The Ksat depth profile within the plough layer remained vertically uniform in CT, whereas DS showed a systematic decline of Ksat with depth. The model enables realistic reconstruction of how agricultural operations will affect structural porosity and SHP. Future development will couple the extended model with a broader soil-crop-atmosphere system model and focus on improving the process description, particularly regarding seasonal dynamics.

How to cite: Vdovenko, D., Leuther, F., and Diamantopoulos, E.: Modeling the effects of soil structure dynamics on soil hydraulic properties. , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1244, https://doi.org/10.5194/egusphere-egu26-1244, 2026.

EGU26-1723 | ECS | Orals | HS8.3.3

Modeling PFAS transport through the vadose zone – a comparison of model codes for column and field-scale experiments 

Valerie de Rijk, Stefanie Lutz, and Jasper Griffioen

Predicting transport of per- and polyfluoroalkyl substances (PFAS) through the vadose zone is essential for contamination risk assessment, yet the reliability of available models remains poorly understood. This study compared five available models by exploring their conceptual and technical differences, and assessing the alignment of model capabilities against current theoretical understanding of reactive transport of PFAS. We evaluated predictive performance by forward modeling two column experiments and conducting one virtual field-scale simulation across different PFAS compounds and soil types. While all models agreed well with short-term column experiments (NSE ≥ 0.82), they diverged substantially at field-scale, with mid-point breakthrough times differing by multiple years despite identical parameterization.
Quantification of the air-water interface (AWI) emerged as the primary source of inter-model variability and remains the most disputed aspect in theoretical reactive transport understanding of PFAS transport. Existing approaches compute systematically different AWI values as functions of saturation and soil physical parameters, whilst likely underestimating the interfacial area by neglecting surface roughness of grains and pore-scale complexity.
All examined models employ simplified and empirically-derived solid-phase sorption parameters that do not account for soil-specific behavior, solution chemistry, and soil heterogeneity. Important processes including precursor transformation, competitive sorption, and desorption hysteresis remain largely unimplemented, fundamentally constraining predictive reliability. Hence, comprehensive multi-year field validation datasets across diverse hydrogeological settings are urgently needed to quantify prediction uncertainty and establish robust parameterization strategies.

How to cite: de Rijk, V., Lutz, S., and Griffioen, J.: Modeling PFAS transport through the vadose zone – a comparison of model codes for column and field-scale experiments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1723, https://doi.org/10.5194/egusphere-egu26-1723, 2026.

EGU26-3586 | ECS | Orals | HS8.3.3

Geophysical Monitoring of Oak Trees in a Marsh-Forest Upland Transect 

Donald Pesonen, Raymond Hess, Christopher Terra, Lee Slater, Keryn Gedan, and Holly Michael

Flooding and subsequent saltwater intrusion from rising sea levels pose significant concerns for shore-front areas, particularly agricultural lowlands and coastal forests. Changes in soil salinity, driven by both vertical infiltration from high tides and lateral seawater intrusion from storm surges, are documented to produce ghost forests and render agricultural soils unsuitable for cultivation. This study explores the sensitivity of geophysical methods to the exchange of water between trees and soil in white oak (Quercus alba) trees on the upper Delmarva Peninsula. High-frequency ground-penetrating radar (GPR) was employed to image root structures, identifying the depth of highest root density at approximately 0.3 m. This data provided critical geometry for Hydrus-1D evapotranspiration models. Small-scale 3D time-lapse electrical resistivity tomography (ERT) can be used to image the root zone and base of the trees. Initial work with ERT shows variability in the rainfall infiltration patterns but there are issues regarding sensitivity at the base of the tree. To assess tree physiology, vertical arrays of true self-potential (SP) non-polarizing electrodes were installed on tree trunks; SP measurements are a passive electrical method typically used in soil to measure streaming potential which is voltage values which are generated by the movement of water through porous media or capillary action. There have been attempts to use SP electrodes on trees before but the information has been ambiguous as a result of polarization effects as proper SP electrodes were not used, leading to misinterpreted data. The SP electrodes are deployed alongside more traditional sap flow sensors for validation of the collected data. In instances where in-situ sap flux data were unavailable, transpiration rates modeled using Hydrus-1D were utilized as a proxy of sap flux values. Wavelet analysis of the SP data revealed distinct diurnal cycles with strong 24-hour peaks that correlated with both the available sap flow measurements and the modeled transpiration. These results confirm that SP is a viable proxy for monitoring soil-tree moisture dynamics. This strategy may offer a novel framework for monitoring tree health and verifying subsurface water dynamics in coastal ecosystems threatened by saltwater intrusion.

How to cite: Pesonen, D., Hess, R., Terra, C., Slater, L., Gedan, K., and Michael, H.: Geophysical Monitoring of Oak Trees in a Marsh-Forest Upland Transect, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3586, https://doi.org/10.5194/egusphere-egu26-3586, 2026.

The SWIM² framework (Hendrickx et al., 2025) integrates a soil water balance model with in situ sensor data and soil moisture samples through Bayesian inverse modelling. The calibrated model then generates probabilistic 10-day soil moisture forecasts, enabling real-time, site-specific irrigation advice. SWIM² was validated in a real-time setup for 18 vegetable cropping cycles on agricultural fields in Flanders, Belgium, with reliable precipitation data. Although using minimal prior knowledge and despite sensor bias, SWIM² achieves robust soil moisture predictions for a 7-day horizon, with accuracies comparable to sensor measurements. We also assessed the impact of model parameter and weather forecast uncertainty on SM prediction uncertainty, water stress prediction and irrigation advice by integrating the calibrated model ensemble with ensemble-based probabilistic weather forecasts, resulting in high detection rate and accuracy in predicting water stress triggering the irrigation threshold.

Time series of vegetation indices such as NDVI and LAI from Sentinel-2 optical remote sensing as well as LST from Sentinel-3 contain much information on crop growth and crop evapotranspiration. Additionally, the new NISAR mission is promising for high-resolution surface soil moisture observations. We assess relations between in situ measurements and model outputs (crop growth curve, actual ET and SWC), and the remote sensing data, and we discuss opportunities of these data to improve soil moisture and ETa predictions.

Reference: Hendrickx, M.G.A., Vanderborght, J., Janssens, P., Laloy, E., Bombeke, S., Matthyssen, E., Waverijn, A., Diels, J. (2025). Field-scale soil moisture predictions in real time using in situ sensor measurements in an inverse modeling framework: SWIM². Authorea Preprints, doi:10.22541/ESSOAR.175103915.57413983/V1.

How to cite: Hendrickx, M., Vanderborght, J., Janssens, P., and Diels, J.: Probabilistic soil moisture predictions at field scale using in situ data in a Bayesian inverse modelling framework SWIM² and the potential of remote sensing, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4996, https://doi.org/10.5194/egusphere-egu26-4996, 2026.

EGU26-5226 | Orals | HS8.3.3

Effect of Surfactants on the Transport and Availability of Plant Growth-Promoting Bacteria in Soil. 

Haileslassie Gebregergs Kiros and Gilboa Arye

Plant growth-promoting bacteria (PGPB) are vital for sustainable agriculture as they mobilize key nutrients, boost stress tolerance, and encourage plant growth. Despite their benefits, delivering PGPB effectively into soil is challenging due to strong bacterial adsorption, limited movement, and variable soil conditions that hinder bacterial mobility and decrease bioavailability in the rhizosphere. Consequently, inoculated bacteria often stay near the application site and struggle to colonize roots effectively. Surfactants have shown potential in improving microbial transport through porous media by altering bacterial–soil and water–soil surface interactions. They lower surface tension and modify electrostatic and hydrophobic forces, reducing bacterial attachment to soil particles and facilitating cell detachment and movement. This research investigates how surfactants (Triton-100, rhamnolipid, and Tween-80) influence the mobility of two model PGPB, Azospirillum brasilense and Bacillus subtilis, in soil columns. It also assesses surfactants toxicity through standardized growth inhibition tests. Toxicity testing revealed that Tween-80 is non-inhibitory. Bacterial transport experiments were conducted in packed soil columns under controlled hydraulic conditions, both with and without surfactant, and bacterial breakthrough curves (BTCs) were generated by continuously monitoring bacterial concentrations in the column influent and effluent as a function of pore volumes to quantify transport behavior. Tween-80 improved bacterial breakthrough and decreased the bacteria deposition rate compared to controls, demonstrating enhanced bacterial transport. These findings suggest that non-toxic surfactants can significantly improve PGPB mobility, offering a promising approach for effective microbial inoculation in sustainable farming. 

How to cite: Kiros, H. G. and Arye, G.: Effect of Surfactants on the Transport and Availability of Plant Growth-Promoting Bacteria in Soil., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5226, https://doi.org/10.5194/egusphere-egu26-5226, 2026.

EGU26-5527 | ECS | Orals | HS8.3.3

How soil moisture and flow regime drive microplastic transport in the vadose zone: insight from modelling and column experiments 

Lizeth Cardoza-Pedroza, Laurent Lassabatére, Brice Mourier, and Laurence Volatier

Despite the well-known influence of hydrological conditions within the vadose zone on Micro and nano plastic (MnPs) transport, the effect of soil moisture and flow regime remain poorly understood, since most studies have been conducted under saturated conditions.

In this study, we combined laboratory column experiments with numerical modelling to investigate the MnPs transport in gravel soils under contrasting saturation conditions and two flow regimes (steady vs transient). We used commercial 1µm Polystyrene (PS) fluorescent spherical particles in coarse granular media, under both saturated and unsaturated conditions. The chosen material is representative of some parts (lithofacies) of the glaciofluvial deposits exploited for drinking water supply in the region of Lyon. Unsaturated experiments were conducted at different initial soil moisture contents (from 8% to 52%) and under steady and transient flow regimes to assess the influence of the flow hydrodynamics on the MnPs transport. The PS effluent concentration at the column outlets was determined by using fluorescence spectrophotometry, while conservative tracer experiments were used to constrain flow and transport parameters.

Under saturated conditions, transport was highly reproducible, with an average MnPs recovery of 85%, a maximum relative concentration of 0.11, a peak breakthrough arriving at 0.79 pore volumes (PV). In contrast, unsaturated conditions showed bigger variability, with recovery rates ranging from 44-98%, maximum relative concentrations from 0.07 to 0.25 and peak breakthrough occurring between 0.59 and 1.13 PV, depending on experimental conditions. Numerical models using Hydrus reproduced the observed differences and showed differences in water fractions characterised by the tracer. These finding emphasize the need to account for the vadose zone-specific flows and sorption air-water dynamics when assessing the fate of microplastics and the potential impacts on groundwater quality. This study demonstrates the crucial roles of specific flow conditions and air–water interfacial sorption in controlling microplastic transport within the vadose zone, with important implications for groundwater vulnerability assessments and for interpreting spatiotemporal variations in groundwater microplastic concentrations.

 

This project has received funding from European Union’s HORIZON EUROPE research and innovation program GA N°101072777-PlasticUnderground HEUR-MSCA-2021-DN-01

 

How to cite: Cardoza-Pedroza, L., Lassabatére, L., Mourier, B., and Volatier, L.: How soil moisture and flow regime drive microplastic transport in the vadose zone: insight from modelling and column experiments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5527, https://doi.org/10.5194/egusphere-egu26-5527, 2026.

EGU26-6956 | Orals | HS8.3.3

A New Fast in-Situ Soil Hydraulic Characterization Method Combining 2D Soil Water Flow Modelling and Time-Domain Reflectometry 

Antonio Coppola, Shawkat Basel Mostafa Hassan, Giovanna Dragonetti, and Alessandro Comegna

Soil hydraulic behavior is fundamental for determining water flow dynamics within the soil–plant–atmosphere continuum. Soil Hydraulic Properties, SHP, govern essential processes, including soil water storage within the root zone and the entire soil profile, evapotranspiration, plant water and nutrient uptake, runoff generation, deep percolation, groundwater recharge, as well as the transport of solutes and contaminants. There are several laboratory and field methods to characterize SHP. Laboratory measurements are generally more straightforward than field tests. However, their reliability depends on the selection of sample sizes that adequately represent the present heterogeneity in natural soils. In-situ methods for determining SHP are often labor-intensive and time-consuming due to the need for detailed spatial and temporal data. Because SHP exhibit significant spatial variability, many measurements are required to accurately characterize the SHP. This variability highlights the need for faster and more efficient methods to characterize SHP across multiple sites. This study proposes a fast in-situ method for SHP characterization called TDR-2D. It combines Time-Domain Reflectometry (TDR) with soil water modelling in a wetted bulb under a dripper. The TDR-2D method was simultaneously applied to multiple sites across an experimental field to estimate their SHP. The same sites were characterized using the Tension Infiltrometer Method, TIM. The soil hydraulic parameters estimated by TDR-2D were evaluated by comparing them to those obtained by TIM. Parameter correlation matrices were employed to assess uncertainty in parameter estimation. An additional sensitivity analysis was conducted to evaluate the influence of different dripper nominal flow rates (2, 4, and 6 l/h) on parameter estimation. The results indicate that the TDR-2D method reliably estimates soil water retention parameters across all tested flow rates. Estimation of the saturated hydraulic conductivity (K0) was particularly accurate at flow rates of 2 and 4 l/h whereas accuracy declined at 6 l/h. Furthermore, model output sensitivity to soil hydraulic parameters decreased with increasing dripper flow rate. Overall, for the soils investigated, the findings suggest that the TDR-2D method performs optimally at a nominal flow rate of 4 l/h, providing accurate SHP estimates while minimizing parameter uncertainty. Since the TDR-2D and TIM methods yield Russo–Gardner (RG) and van Genuchten–Mualem (vGM) parameters, respectively, direct comparison required conversion between the two parameter sets. The results demonstrate that conversion from vGM to RG parameters is generally feasible, whereas the reverse conversion is less straightforward and should be approached with caution.

How to cite: Coppola, A., Hassan, S. B. M., Dragonetti, G., and Comegna, A.: A New Fast in-Situ Soil Hydraulic Characterization Method Combining 2D Soil Water Flow Modelling and Time-Domain Reflectometry, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6956, https://doi.org/10.5194/egusphere-egu26-6956, 2026.

EGU26-7146 | ECS | Posters on site | HS8.3.3

Analytical and Invertible Model for Transient Heat Transport in Layered Subsurface Media 

Vishal Bashist, Ratan Sarmah, and Ickkshaanshu Sonkar

 Abstract

Accurate characterization of transient heat transport in layered subsurface media is fundamental to a wide range of environmental and hydrological applications, including groundwater recharge assessment, land-atmosphere interaction analysis, and climate signal detection in soils. This study presents a fully analytical solution for one-dimensional transient heat transfer in a two-layer soil system subjected to realistic, time-dependent surface temperature forcing associated with diurnal variations. The governing advection-conduction equation is solved using the Generalized Integral Transform Technique, which enables an exact treatment of interlayer thermal interactions while avoiding numerical inversion or interface-matching complexities. The resulting formulation yields a computationally efficient and stable solution that is well suited for both forward simulation and inverse analysis. The analytical solution is rigorously validated through comparison with high-resolution numerical simulations, demonstrating excellent agreement for both homogeneous and stratified soil configurations over a wide range of hydrothermal conditions. The inverse modeling capability of the framework is further demonstrated by coupling the analytical solution with a genetic algorithm to estimate vertical water flux from field-measured temperature data, highlighting its potential for non-invasive hydrological characterization. This work introduces a scalable, computationally efficient, and physically consistent framework for simulating and interpreting transient heat transport in layered subsurface systems. Owing to its generality, the proposed methodology is readily extendable to other diffusion-dominated transport processes, such as solute transport in stratified geological media, thereby enhancing its applicability across a broad range of geoscientific problems.

Keywords: Transient heat transport, Layered subsurface media, Analytical solution, Generalized Integral Transform Technique, Inverse modelling

How to cite: Bashist, V., Sarmah, R., and Sonkar, I.: Analytical and Invertible Model for Transient Heat Transport in Layered Subsurface Media, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7146, https://doi.org/10.5194/egusphere-egu26-7146, 2026.

EGU26-7207 | ECS | Orals | HS8.3.3

Influence of Nano biochar on the fate and transport of chlorpyrifos 

Monika and Ickkshaanshu Sonkar

Geochemical aging can alter the chemical structure of biochar (BC), resulting in the release of nano sized BC (ranging from 200 nm to 500 nm).  Although, several studies have revealed the adsorption and immobilization of pesticides on BC, little is known regarding the mobility and retention of pesticides sorbed on nano particles. Thus, column tests were conducted to investigate organophosphate pesticide (chlorpyrifos) transport using nano biochar (NBC) as amended in sand column and use Hydrus 1D model to simulate the result. The findings demonstrated that NBC amended sand increased chlorpyrifos retention by 60% to 70% when nanoparticles were incorporated. Additionally, the chlorpyrifos simulated kd value (sorption coefficient) increased from 1.64 L/g to 2.10 L/g. Also, the proportion of equilibrium adsorption sites (f) decreased from 0.25 to 6.78 ×10-6 after amendment. This study shows that Nanoparticles maximizes the efficiency of biochar in controlling environmental pollution by improving its adsorption capacities and modulating its ability to prevent pesticide migration to groundwater.

Keywords: Organophosphate transport, HYDRUS-1D, soil column, non-equilibrium equation, adsorption

How to cite: Monika, and Sonkar, I.: Influence of Nano biochar on the fate and transport of chlorpyrifos, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7207, https://doi.org/10.5194/egusphere-egu26-7207, 2026.

EGU26-7930 | ECS | Posters on site | HS8.3.3

Impact of irrigation forcing on parameter estimation of 1-D Richards equation 

Anoop Pandey and Richa Ojha

In irrigated agricultural regions, remotely sensed soil moisture and evapotranspiration data are widely used to calibrate unsaturated zone models, specifically those employing the Richards equation and van Genuchten-Mualem (VG) relationships. However, this often leads to a critical forcing-observation mismatch. While remote sensing products capture both rainfall and irrigation signatures, standard meteorological datasets typically include only rainfall. Calibrating models against irrigation-influenced observations without accounting for irrigation as an input flux is likely to introduce significant parameter bias. The present study attempts to analyze this effect for an experimental site at IIT Kanpur during a wheat growing season. Subplot specific leaf area index, root zone depth, irrigation amounts, and rainfall were recorded separately for four subplots. Soil moisture and water retention curves were measured at 10, 25, 50, and 80 cm depths covering root zone of these subplots. Meteorological variables from an onsite automatic weather station were used to estimate crop evapotranspiration. For analysis, two calibration schemes that minimize root zone soil moisture simulation errors were formulated, a) RET: considers rainfall as the input flux (ignoring irrigation) along with evapotranspiration, and b) RIET: considers both rainfall and irrigation fluxes along with evapotranspiration. Four VG-parameters (θs, α, n, and Ks) were calibrated using mean soil moisture (µθ) and evapotranspiration data within a genetic algorithm framework. The analysis was further extended to (µθ-σ) and (µθ+σ) dataset to analyze the performance of the proposed framework in identifying the parameters with drier and wetter soil moisture data, respectively. The RIET scheme yields substantially lower relative errors than RET for Ks (~36% compared to ~66%), n (~4.7% compared to ~5.9%), and θs(~9.2% compared to ~17.7%), whereas both schemes achieve comparable high accuracy for α (~1–2% relative error). Soil moisture estimates obtained using the optimal parameters from the RIET scheme exhibit 2 to 3 times lower RMSE compared to those from the RET scheme. These findings underscore the need for considering irrigation in model forcing during calibration for reliable parameter estimation.

How to cite: Pandey, A. and Ojha, R.: Impact of irrigation forcing on parameter estimation of 1-D Richards equation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7930, https://doi.org/10.5194/egusphere-egu26-7930, 2026.

EGU26-7956 | Posters on site | HS8.3.3

Rethinking Green Infrastructure Performance: PMT removal in GAC-Amended Column Experiments under Extreme Operating Conditions 

Jiaqi Xu, Sergi Badia, Giuseppe Brunetti, Jordi Cama, and Marc Teixido

Rapid urbanization has expanded impervious surfaces, enhancing pollutant buildup and the transport of Persistent Mobile (PMT) substances through stormwater runoff. Green infrastructure, which is designed for flood mitigation and aquifer recharge, can inadvertently transfer polar contaminants into the soil–groundwater systems. As climate change drives more intense storms, measurements of higher-throughput stormwater are necessary.  Understanding their limits in removing dissolved PMTs and metals is essential to improve current mitigation strategies.

To investigate these hydraulic and geochemical performance constraints, we conducted a series of controlled fixed-bed column experiments simulating diverse green infrastructure operating conditions. Different PMT loadings, adsorbent dosage, competitive interactions with co-solutes (dissolved metals and dissolved organic matter, DOM) under three infiltration-rate regimes (4.5 – 25.5 cm·h-1) were tested. Columns were packed with a mixture of sandy-loam soil and granular activated carbon (0.5, 2, and 5 %wt.; (GAC) to evaluate the breakthrough behaviour and adsorption capacity towards 8 representative PMTs with different physicochemical molecular properties. Our preliminary results show that at high flow rates, associated with low residence times, substantially decrease adsorption performance, particularly under high inorganic contaminant loads with DOM. Although the 5% GAC amendment achieved the highest overall removal capacity towards the studied PMTs regardless experimental conditions, it also introduces hydraulic limitations, producing pronounced tailing effect driven by micropore diffusion and extended intra-particle residence times.

To interpret the observations from experiments, HYDRUS will be applied to simulate reactive solute transport, enabling inverse calibration of hydraulic properties and solute transport parameters from column breakthrough data. Subsequently, HYDRUS-derived parameters, together with experimental variables, will be integrated into a machine learning framework to identify key removal predictors, and forecast the removal of challenging PMTs under different stormwater conditions.

How to cite: Xu, J., Badia, S., Brunetti, G., Cama, J., and Teixido, M.: Rethinking Green Infrastructure Performance: PMT removal in GAC-Amended Column Experiments under Extreme Operating Conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7956, https://doi.org/10.5194/egusphere-egu26-7956, 2026.

EGU26-8318 | Posters on site | HS8.3.3

Particle tracking in time-dependent two-phase flows 

Tomas Aquino and Gaute Linga

Describing the transport of nutrients and contaminants as well as temperature and other scalars in hydrogeological systems presents both computational and modeling challenges due to the heterogeneity of the media themselves, of the resulting flows, and of the flowing phase distributions. Random walk particle tracking methods involve discretizing transported plumes into point masses that undergo random motion, such that the probability density of particle positions corresponds to the concentration field that typical grid-based Eulerian methods solve for. Particle tracking methods for transport are not affected by the instabilities that Eulerian methods are prone to in advection-dominated systems, and they mitigate numerical dispersion because they do not implicitly homogenize concentrations over an underlying grid.  From a computational standpoint, since particles represent possible physical trajectories, computational power is naturally localized where mass is present, and locally-adaptive time steps can be employed. These reasons mean particle tracking methods are well suited for resolving plume structures for scalar concentration fields that are relatively localized in space but exhibit complex structure.

So far, the application of random walk particle tracking methods to heterogeneous media has been mainly restricted to time-independent conditions. In the presence of more than one fluid phase, such as air and water, if a chemical species is restricted to a specific phase, moving phase configurations lead to moving interfaces that present challenges for particle tracking. We propose an extension of particle tracking methods to fully time-dependent, two-phase flow conditions, where the restriction of a transported species to one of the fluid phases is handled through the application of a chemical potential that takes a lower value in the carrier phase. Particles feel an effective drift near the fluid-fluid interface that is proportional to the potential difference between the two phases, leading to a concentration ratio that follows Henry's law at equilibrium. By increasing this potential difference, the amount of mass that crosses the interface can be made arbitrarily small. This formulation avoid explicit reconstruction of phase boundaries and does not require direct computation of particle reflection at fluid-fluid interfaces. We illustrate the application of the method to the simulation of solute fronts in heterogeneous media under two-phase-flow conditions where the solute is restricted to a single phase, and we discuss the possibility of extending the method to more complex interactions between the transported scalar and the fluid-fluid interface.

How to cite: Aquino, T. and Linga, G.: Particle tracking in time-dependent two-phase flows, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8318, https://doi.org/10.5194/egusphere-egu26-8318, 2026.

EGU26-9247 | ECS | Posters on site | HS8.3.3

Effects of Flow Rate and Initial Saturation on Solute Transport and Flow Dynamics in Fractured Chalk 

Hanane Ougazdamou, Ofra Klein-BenDavid, Natalie De Falco, and Noam Weisbrod

Flow and transport in fractured systems are a major challenge in understanding contaminant transport in the vadose zone. Chalk, a carbonate rock, is characterized by a high porosity and very low hydraulic conductivity. However, this rock can be intersected by fractures that may act as highly permeable pathways that dominate the migration of water, solutes, and particulate matter.  Unsaturated conditions further introduce additional complexities, as chalk systems are characterized by heterogeneity, capillary effects, and changes in saturation. Despite significant progress in this field, our understanding of the interaction between transport processes and dynamic flow behavior at different initial water saturation and across different flow rates remains limited. Therefore, this work studies the transport and dynamics of a dyed conservative tracer in a fractured chalk system under two saturation conditions (98% and 40%) and at two flow rates (0.1 and 1.1 mL/min). Laboratory experiments were conducted using a novel system containing a half-cylindrical fractured chalk core, drilled from the Eocene-age Avdat Group (northwestern Negev Desert), with a 5 mm artificial vertical fracture and a transparent wall enabling direct visualization of flow patterns. Time-lapse images of the tracer migration along the fracture surface were acquired using a digital camera, and flow and transport behavior were investigated under controlled laboratory conditions using a combination of traditional breakthrough curves (BTCs) and time-resolved image processing in Python to characterize tracer movement along the fracture surface.

Results show that, under near-saturated conditions, the flow rate has no effect on the mass balance: the recovered mass is similar at both low and high flow rates, with an average of 51%. BTCs obtained under these conditions show early tracer arrival and a higher peak at both flow rates. However, the effect of initial saturation level at low flow rate is observed: the average recovered mass under near-saturated conditions is approximately 2.5 times higher than under unsaturated conditions, where the BTCs show delayed tracer arrival and lower peak concentrations. Image-based analysis indicates that increasing the flow rate from 0.1 mL/min to 1.1 mL/min at near-saturated conditions significantly affects the tracer distribution on the fracture surface. At low rates, narrow channels covering ~20% of the fracture surface developed. However, at higher rates, flow channels covered ~50% of the fracture surface. Under unsaturated conditions (low rate), the flow is characterized by an initial wetting front, followed by the formation of channels that cover up to 20% of the fracture surface.

How to cite: Ougazdamou, H., Klein-BenDavid, O., De Falco, N., and Weisbrod, N.: Effects of Flow Rate and Initial Saturation on Solute Transport and Flow Dynamics in Fractured Chalk, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9247, https://doi.org/10.5194/egusphere-egu26-9247, 2026.

EGU26-10088 | Orals | HS8.3.3

Beyond Accuracy: Can Physics-Informed Neural Networks Reproduce Root-Zone Soil Moisture Memory? 

Mehdi Rahmati, Wenxiang Song, Carsten Montzka, Jan Vanderborght, and Harry Vereecken

Soil moisture memory (SMM) is a primary driver of land-atmosphere coupling, hydrological predictability, and the response of ecosystems to climate variability. Although machine learning-based algorithms have recently been shown to predict soil moisture with a high degree of accuracy, it is unclear whether these models can predict SMM and SMR effectively. In this study, we assess whether better state estimation results in enhanced representation of SMM. To achieve this, we use six years (2013–2018) of daily grassland lysimeter observations from Rollesbroich, Germany (50°37'12" N, 6°18'15" E), including multi-depth soil moisture (10, 30, and 50 cm), through which a depth-averaged root-zone soil moisture is calculated (see Figure 1). In addition to the observational data, we also estimated soil moisture at different depths and then computed root zone soil moisture according to the upper and lower boundary fluxes (i.e., precipitation, drainage, and actual evapotranspiration), using two modelling methodologies: (i) a physics-based Richards equation model (HYDRUS-1D, calibrated against observations) and (ii) a physics-informed neural network (PINN), which was trained on the same dataset (see Figure 1). We analyze, then, the SMM structure in the simulated and observed time series using a Linear Integro-Differential Equations (LIDE) framework, which quantifies the accumulation of memory at different timescales, e.g., fast memory (τF), slow memory with short-term (τS), intermediate (τI), and long-term (τL) components, and memory saturation timescale (τ). The results show that the PINN model is much more accurate than the HYDRUS-1D model at simulating observed soil moisture states (root mean square error, RMSE = 0.003 vs 0.018; Nash-Sutcliffe Efficiency, NSE = 0.997 vs 0.881). However, the fast memory timescale (τF) is slightly underpredicted by PINN (with τF ~ 4.5 days) and is slightly better approximated by HYDRUS-1D (with τF ~ 5.9 days) compared to observations (with τF ~ 7.6 days), reflecting stronger physical damping in HYDRUS-1D. While the short-term slow-memory timescale (τS) could not be identified using either measured or modeled data, the intermediate slow-memory timescale (τI) of measured data (with τI ≈ 4 months) could be robustly recovered using either model. The long-term slow-memory timescale (τL) and the saturation timescale (τ) are, respectively, underestimated and overestimated by the PINN (with τL ~ 9 months and τ~ 10.6 years), resulting in weaker persistence and a narrower window for re-emergence compared to the observed values (with τL ~ 9.5 months and τ~ 8.96 years). In contrast, HYDRUS-1D better resolves the long-term memory dynamics (with τL ~ 9.7 months and τ~ 8.26 years). These findings highlight that strong prediction skills for state variables do not necessarily equate to a good representation of their hidden memory structure.  According to these results, we suggest that memory-based diagnostics can probably serve as a complementary indicator to analyze the performance of simulated soil moisture dynamics alongside traditional performance measures and can provide a critical benchmark for evaluating physics-based and machine learning hydrological models.

How to cite: Rahmati, M., Song, W., Montzka, C., Vanderborght, J., and Vereecken, H.: Beyond Accuracy: Can Physics-Informed Neural Networks Reproduce Root-Zone Soil Moisture Memory?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10088, https://doi.org/10.5194/egusphere-egu26-10088, 2026.

EGU26-10216 | Orals | HS8.3.3

It’s time to start tuning for deserts! 

Nurit Agam, Dilia Kool, and Nadav Bekin

Twenty-seven percent of the world’s terrestrial area is classified as arid or hyper-arid, regions that are second only to oceans in the sparsity of measurement sites. Contrary to popular perception, these desert areas are dynamic ecosystems that respond sensitively to changes in water availability, temperature, and carbon dioxide levels. Efforts to understand the dynamics and feedback mechanisms between the main players affecting desert weather and climate can be divided, by-and-large, into two groups: (1) addressing the most pressing knowledge gaps of desert weather and climate systems; and (2) exploring processes that have not previously been considered but are hypothesized to be more important than presumed, representing a realm of "unknown unknowns". One example to the “unknown unknowns” realm is related to non-rainfall water inputs (i.e., fog, dew, and atmospheric water vapor adsorption). Traveling between the Negev, Namib, and Sahara deserts, we will look into this largely overlooked phenomenon. We will point to the similarities between these deserts and ask how widespread this phenomenon may be and why should we care.

How to cite: Agam, N., Kool, D., and Bekin, N.: It’s time to start tuning for deserts!, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10216, https://doi.org/10.5194/egusphere-egu26-10216, 2026.

EGU26-10402 | ECS | Posters on site | HS8.3.3

A Regime-Based Framework for Understanding the Dominant Mechanisms of Flow in Heterogeneous Agricultural Soils 

Uma maheswara rao Songa and Richa Ojha

Soil moisture dynamics in unsaturated soils of agricultural fields are driven by the complex interplay of hydraulic heterogeneity, root water uptake (RWU), and atmospheric forcing; however, the specific conditions under which each process becomes dominant are not yet fully understood. We propose a regime-based framework to identify the dominant flow mechanisms in an agricultural field, using the wheat cropping season as a primary case study. For this, 3-D Richard’s equation simulations were performed for silty loam soil, considering crop-specific data and atmospheric conditions from an experimental site at IIT Kanpur. Simulations comparing homogeneous and heterogeneous soil profiles (spatial heterogeneity in van Genuchten parameters, Ks  and α) reveal that near-surface layers (10–25 cm) exhibit higher early-season variability and faster post-irrigation responses than deeper layers (50 cm), with heterogeneity effects diminishing over depth and time. Sensitivity profiles based on the ratio of RWU to vertical flux divergence indicate stronger near surface control, with values close to one during irrigation periods and declining with depth, reflecting reduced influence of vertical flux divergence in deeper soil. Variance-based dominance diagnostics, evaluated against variability in both  and , reveal a distinct transition in governing processes. As the ratio of soil moisture variance to heterogeneity variance decreases from approximately 0.30 near the surface during early growth to below 0.15 at greater depths and later stages, the system shifts from a heterogeneity-dominated behavior to an RWU-dominated regime. Collectively, these diagnostics categorize the subsurface into four distinct regimes: heterogeneity-dominated, RWU-dominated, atmospheric demand-dominated, and transition zones. This classification provides a physically interpretable framework for analyzing process dominance and refining model selection in structured agricultural soils.

How to cite: Songa, U. M. R. and Ojha, R.: A Regime-Based Framework for Understanding the Dominant Mechanisms of Flow in Heterogeneous Agricultural Soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10402, https://doi.org/10.5194/egusphere-egu26-10402, 2026.

EGU26-11083 | ECS | Orals | HS8.3.3

Can AH-DTS detect wetting front movement in soil columns during rainfall events? First impressions from experimental investigations 

Luis Bertotto, Alan Reis, Elias Neto, Cristina Tsuha, Edson Wendland, and Olivier Bour

Actively heated distributed temperature sensing (AH-DTS) has been widely applied for soil moisture monitoring over distances ranging from a few centimeters to several hundred meters; however, few studies have explored this method for investigating transient soil water behavior during rainfall events.

Here, a soil column (75 cm high and 30 cm in diameter) was constructed in the laboratory, where an active fiber-optic cable was helically wrapped around a central supporting element with a 5-cm bending radius. Repacked sandy clay loam soil filled the column with three compaction levels: loose (1.35 g cm-3, 0–25 cm), medium (1.44 g cm-3, 25–50 cm), and dense (1.51 g cm-3, 50–75 cm). Sprinkler nozzles simulated a rainfall event of 40 mm hr-1 lasting 4 hours in the soil profile, during which the fiber-optic cable was continuously heated with a power input of 5 W m-1. A DTS unit collected temperature data at a vertical sampling resolution of 1.25 cm, while 14 soil moisture sensors regularly distributed throughout the column measured changes in soil water content.

The results showed that wetting front arrival at different soil depths was detected by the fiber-optic as cooling pulses. The magnitude and temporal stability of the cooling were inversely related to soil depth and bulk density. From the moment the front was detected, the superficial soil layer exhibited more pronounced and longer-lasting negative thermal anomalies, whereas anomalies in the deepest layer were smaller in magnitude and less persistent. These findings suggest the dominance of thermal advection in the loose soil layer and thermal conduction in the dense layer, while the medium-density layer exhibited transitional behavior. With respect to instrumentation, good agreement was observed between time of detection of the wetting front arrival obtained from the moisture sensors and the optical fiber (root mean square error of 6.2 minutes).

Overall, the results contributed to the understanding of thermal regimes in unsaturated flow and further shed light on the use of temperature as a tracer for soil water infiltration and percolation processes. Ongoing research aims to investigate soil thermal behavior with AH-DTS across a broader range of rainfall intensities and contrasting soil textures.

How to cite: Bertotto, L., Reis, A., Neto, E., Tsuha, C., Wendland, E., and Bour, O.: Can AH-DTS detect wetting front movement in soil columns during rainfall events? First impressions from experimental investigations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11083, https://doi.org/10.5194/egusphere-egu26-11083, 2026.

EGU26-11746 | ECS | Posters on site | HS8.3.3

Impact of urban trees' rainfall interception on soil water dynamics 

Yusuf Oluwasegun Ogunfolaji, Mark Bryan Alivio, Nejc Golob, Vesna Zupanc, and Nejc Bezak

Vegetation characteristics are among the primary factors that influence soil water storage dynamics. Thus, this study aims to determine the interception capacity of urban trees and how differences in effective rainfall beneath these trees regulate soil water dynamics. To achieve this objective, interception capacity was estimated from measured throughfall. The soil water budget elements (including transpiration, soil evaporation, soil water storage, and deep percolation) were simulated using the HYDRUS-1D model. Model inputs include gross rainfall or effective rainfall (throughfall for under-tree soils), volumetric water content (VWC) of the soil, potential evapotranspiration (PET), leaf area index (LAI), and soil hydraulic parameters.

The study was carried out in a small urban park in the City of Ljubljana, Slovenia, between September 2024 and July 2025. The experimental plot includes various tree species, such as deciduous - birch (Betula pendula) and maple (Acer negundo), and evergreen - black pine (Pinus nigra), white pine (Pinus strobus), and yew (Taxus baccata). A tipping-bucket rain gauge was installed in the open area to measure gross rainfall. Throughfall beneath the birch and pine canopies was measured using a V-shaped steel trough collectors equipped with tipping-bucket flow gauges. Throughfall under other tree types was monitored using the same equipment to record open-area rainfall, but positioned under tree canopies. Each instrument was equipped with an automatic data logger that recorded data every 5 minutes. Additionally, soil VWC was monitored in the open area and beneath tree canopies (e.g., pine and birch) using TEROS 10 sensor probes. The probes were positioned horizontally at three successive depths within the soil profile (i.e., top: 16-20 cm, middle: 51-54 cm, and bottom: 74-76 cm). They were connected to data loggers programmed to record VWC at 5-minute intervals, enabling continuous monitoring of moisture variations across the soil profile. Meteorological variables (wind speed, solar radiation, air humidity, air temperature, rainfall, etc.) required to compute PET were collected from a remote weather monitoring station installed in the open area of the experimental site and recorded at 5-minute intervals. The LAI was measured using an LAI-2200C plant canopy analyzer at least twice per week to capture vegetation dynamics during the study period. The soil hydraulic parameters (saturated and residual VWC, saturated hydraulic conductivity, relative saturation, and shape parameters) under each tree were determined in the laboratory. Simulations were executed at an hourly timestep to capture short-term variations in the various water-balance components.

The calibrated HYDRUS-1D model was subsequently used to simulate soil water balance components across different tree species, using different effective rainfall as model input and employing different soil characteristics. The results show that rainfall interception, which defines effective rainfall beneath tree canopies, differs among trees. Thus, it impacts the various soil water budget parameters and soil water dynamics. The analyses conducted indicate the inter-relationship of rainfall interception processes and soil water dynamics.

Acknowledgment: The work was supported through the Ph.D. grant of the first author, which is financially supported by the Slovenian Research and Innovation Agency (ARIS). This study is also part of ongoing research programme P2-0180.

How to cite: Ogunfolaji, Y. O., Alivio, M. B., Golob, N., Zupanc, V., and Bezak, N.: Impact of urban trees' rainfall interception on soil water dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11746, https://doi.org/10.5194/egusphere-egu26-11746, 2026.

EGU26-12273 | Posters on site | HS8.3.3

Field Lysimeter Experiments for Tracing Microplastics Transport in the Unsaturated Zone 

Nina Mali, Elvira Colmenarejo Calero, and Manca Kovač Viršek

Understanding the transport of microplastics (MPs) in the unsaturated zone (UZ) is essential for assessing their environmental impact, particularly regarding groundwater contamination. MPs are increasingly detected in groundwater systems; however, their transport mechanisms through the UZ remain poorly understood, and field-scale experimental evidence is scarce.

This study presents a field-based methodological approach using lysimeter experiments to investigate MP migration under realistic environmental conditions. Four lysimeters, each designed as a vertical column with a diameter of 0.6 metres, were installed outdoors to closely simulate natural UZ environments. The columns were packed with 16 cm of sand and gravel of known granulometric fractions, incorporating variable grain sizes to represent diverse porous media and hydraulic properties. Comprehensive granulometric analyses and infiltration tests were conducted to characterise the physical properties of the columns. Commercial Polypropylene (PP) MPs of different shapes (fibres, fragments, and spheres) were applied as tracers, alongside deuterium oxide (D₂O) as a conservative tracer for hydraulic characterisation.

This experimental approach provides valuable data on MP transport under controlled yet realistic conditions, reducing uncertainties associated with laboratory-only studies. The experimental design allows for the quantification of retention and breakthrough behaviour of MPs under variable hydraulic regimes. Furthermore, the integration of multiple tracer shape-types facilitates the differentiation between physical transport processes, providing a robust framework for future modelling efforts.  

A comprehensive description of the experimental setup, together with the initial results derived from the lysimeter studies, will be presented.
 
This research is part of the project “Improved methods for determination of transport processes and origin of microplastics in groundwater resources—(GWMicroPlast)” (J1-50030), funded by the Slovenian Research and Innovation Agency (ARIS).

 

How to cite: Mali, N., Colmenarejo Calero, E., and Kovač Viršek, M.: Field Lysimeter Experiments for Tracing Microplastics Transport in the Unsaturated Zone, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12273, https://doi.org/10.5194/egusphere-egu26-12273, 2026.

Direct atmospheric water vapor absorption by structureless soils in coastal deserts has been the subject of various field studies, usually carried out with micro-lysimeters (ML’s). In one of these studies the absorption patterns of loess and sand were studied. Given the larger surface area of the loess soil, it was hypothesized that the loess soil would absorb more water vapor than the sand. The results, when the natural crust present on both soils was removed, were surprisingly similar and contrary to expectation.

We hypothesize that one of the reasons for these results was the different pore size distribution of both substrates, the larger pores of the sand allowing deeper penetration of downwelling eddies, thus directly exposing a thicker soil layer to the atmospheric water vapor concentration and hence to enhanced absorption or desorption.

To test this hypothesis, it is necessary to obtain data on the soil water distribution dynamics within the soil profiles of MLs whose soils have different  pore size distribution.

In the present study we report the response of two aggregate sizes of two substrates (aggregated soil and quartz) to the daily fluctuations of atmospheric conditions.

The field study was carried out at the Wadi Mashash Experimental Farm in the Negev Desert, Israel, using four MLs.   The MLs were instrumented with six temperature and relative humidity (RH) sensors (MX2302A, HOBO) inserted at depths of 0.5, 2, 5, 10, 20 and 45 cm. Water retention curves were obtained using a vapor sorption analyzer (Aqualab, Addium) for the driest part of the curve and standard pressure plate for the wetter parts of the curve. Data from soil and meteorological sensors and scales were recorded every 15 minutes and collected for six successive days during late summer.

The ML with large soil aggregates absorbed significantly more atmospheric water than the one with smaller aggregates, while the opposite trend was observed for the quartz particles. The absorption of both quartz MLs was, however, significantly lower than that of the small aggregate ML.

The temporal changes in soil water content distribution with depth were estimated by using temperature and RH to compute the thermodynamic soil water potential and transforming the latter into water contents via the water retention curves obtained for each soil and size fraction. The computed total water absorption and release patterns of the soil profiles within each of the MLs corresponded very well with the total recorded mass changes.

The depth of eddy penetration was indirectly estimated by comparing the fluctuations of water vapor concentration within the soil at various depths to the one measured simultaneously five cm. above the soil surface.  Penetration depth was larger for the large quartz particles when compared to the small ones, but this effect was not so clear for the soil aggregates.

These results highlight the importance of inter- and intra- pore size distribution in determining water vapor absorption and desorption patterns in bare soils.

How to cite: Berliner, P., Eyni Nezah, H., and Agam, N.: The effect of particle size and mineralogy of soils on the diurnal cycle of atmospheric water absorption , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13886, https://doi.org/10.5194/egusphere-egu26-13886, 2026.

EGU26-14361 | ECS | Posters on site | HS8.3.3

Probing the Nutrient Cycle in Forests using the Boron Isotopic Composition of Streams 

Hannah Janecke, Julien Bouchez, Jennifer Druhan, Dimitri Rigoussen, Ivan Osorio-Leon, Pierre-Alain Ayral, Jean-Marc Domergue, Valentin Wendling, and Jérome Gaillardet

Forests are essential for the regulation of Earth’s climate both locally and globally. Their ecosystems are dependent on a number of nutrients from mineral sources, which are derived from the underlying rocks and incorporated into clays and oxides in a process referred to as chemical weathering. Streams are ideal indicators of nutrient cycling at the catchment scale, and by extension an indicator of nutrient provision and stresses. As streams collect water from subsurface pathways including water from the root zone, their geochemical signals can be used to quantify nutrient uptake at the catchment scale.

Non-traditional stable isotopes offer opportunities to enhance our understanding of nutrient cycles in the Critical Zone. Biogeochemical processes cause measurable fractionation between metal isotopes, creating fingerprints for their pathway through the ecosystem. In this regard, the micronutrient boron presents an ideal tracer. At the catchment scale the B isotope signature is controlled by inorganic processes such as chemical weathering, atmospheric deposition and transport as dissolved species, but also by vegetational cycling. This can lead to significant deviation between the B-isotopic composition of Critical Zone compartments, in particular in streams, compared to its mineral sources. However, the understanding of the translation of B isotopic signals from the soil-plant system to streams needs to be further investigated in order to develop them as a catchment-scale proxy of nutrients.

Here we present B-isotopic data from the Quaraze instrumented catchment at the Mt. Lozère Critical Zone Observatory, Southern France, a long-term instrumented site covered by a mixed tree forest, which is experiencing water stress in summer. Stream samples were collected along the river profile from the outlet to the source over the course of four trips in April, June, August and October. Additionally, we collected groundwater from piezometers at 20m depth and solutions in the unsaturated zone from -2 to -10m depth. Generally, the stream displays strongly elevated δ11B compositions between 34.80‰ and 43.54‰, compared to the local groundwater (10.64‰ to 26.21‰) and soil solutions (11.75‰ to 38.41‰). Major changes in δ11B are observed from the stream source to the outlet, with the largest difference in August (43.52‰ at the source, 37.92‰ at the outlet). This behavior is exhibiting a strong seasonal dependency, since notably the source and outlet are identical within the analytical error in the month of October (40.55‰ and 40.39‰).

This dataset demonstrates that the B isotope signature is highly dynamic, both temporally and spatially, and sensitive to variations in source inputs. This in turn implies that nutrient provision is impacted by small changes in the ecosystem. Vegetational cycling might be playing a key role in explaining elevated stream δ11B compositions [Gaillardet and Lemarchand, 2018]. Using these data, a modelling framework will be applied to estimate the relative roles of recycled organic matter vs. chemical weathering as nutrient sources in this catchment.

How to cite: Janecke, H., Bouchez, J., Druhan, J., Rigoussen, D., Osorio-Leon, I., Ayral, P.-A., Domergue, J.-M., Wendling, V., and Gaillardet, J.: Probing the Nutrient Cycle in Forests using the Boron Isotopic Composition of Streams, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14361, https://doi.org/10.5194/egusphere-egu26-14361, 2026.

Groundwater, the world’s largest accessible freshwater resource, supports billions of people but is increasingly threatened by excessive abstraction rates that exceed natural groundwater recharge (GWR). Sustainable groundwater management requires establishing an accurate balance between extraction and recharge. Hydrological models are commonly used to estimate GWR; these models are typically calibrated to historical data and then assumed to remain valid for future projections under the notion of stationarity, that is, the assumption that the conditions used for model training will remain representative in the future. However, under projected climate change, this assumption is likely to be violated in many regions. In this study, soil water content observations from the International Soil Moisture Network (ISMN) were used to calibrate both bucket-type and Richards’ equation models for estimating GWR across multiple sites, using the DREAM algorithm. For each location, the most appropriate model structure was selected based on the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Future climate projections from GCMs under the SSP5–8.5 scenario were then summarized as annual rainfall totals for all sites. Subsequently, site pairs were identified in which historical annual rainfall totals at one location resemble future projected totals at another location, while also exhibiting similar soil hydraulic properties. This framework enables testing whether the model method selected under historical conditions remains valid under future climates. Overall, the proposed approach offers a systematic method for determining the complexity of unsaturated flow models and is expected to reduce uncertainty in GWR estimates.

 

 

How to cite: Turkeltaub, T.: Selecting Unsaturated Flow Model Complexity for Groundwater Recharge Estimation Under Climate Change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16297, https://doi.org/10.5194/egusphere-egu26-16297, 2026.

EGU26-16547 | ECS | Orals | HS8.3.3

Advancing Land-Surface Modelling in ecLand Through a Unified Hydro-Thermal Framework 

Rajsekhar Kandala, Anne Verhoef, Surya Gupta, Sinikka Paulus, Souhail Boussetta, Patricia De Rosnay, Christoph Rüdiger, Yijian Zeng, and Emily Black

Land surface models (LSMs) play a central role in simulating land-atmosphere interactions by representing coupled soil, vegetation, and energy-water-carbon processes. In most current LSMs, soil hydraulic and thermal properties are treated independently and are coupled only indirectly through soil moisture content, without an explicit linkage between the underlying parameters that define the shape of the curves characterising hydro-thermal properties. Although several independent studies have demonstrated strong correlations between soil hydraulic properties (SHPs) and soil thermal properties (STPs), these relationships have not yet been incorporated into land surface models to assess their impacts on land-surface states and fluxes.

For the present study, we developed a unified hydro-thermal framework for ecLand that explicitly integrates soil hydraulic and thermal properties, thereby improving the representation of coupled soil moisture and heat transport and associated land–atmosphere interactions. First, the van Genuchten (1980) soil water retention curve (SWRC) was replaced by formulations that explicitly represent adsorbed and capillary water components (e.g. Lu, 2016; Peters-Durner-Iden, 2024), leading to a more physically consistent description of soil hydraulic properties, particularly under dry soil conditions. Second, the thermal conductivity formulation of Peters-Lidard et al. (1998), currently used in ecLand, was replaced by an approach that directly links thermal conductivity to SWRC parameters (Lu & McCartney, 2024), ensuring a consistent coupling between soil hydraulic and thermal properties.

We first quantified the impacts of these developments on soil states (soil moisture and soil temperature at multiple depths) and land-surface fluxes (latent and sensible heat) using a series of controlled sensitivity experiments. These experiments were designed to isolate the response of the coupled hydro-thermal system to variations in soil texture, soil depth and discretization, and climatic regimes with an emphasis on more arid conditions. Through this sensitivity analysis, we examined how the unified hydro-thermal framework influences moisture–temperature feedbacks, vertical heat transport, and surface energy partitioning across contrasting hydro-climatic environments. The performance of the unified framework was then evaluated at selected in situ sites by comparing simulations from the original and updated ecLand configurations against observations of soil moisture, soil temperature, and latent and sensible heat fluxes. We find substantial differences between the two formulations in the simulated surface energy fluxes, particularly for soils with high sand content, where discrepancies in latent and sensible heat reach approximately 40 W m-2 for loamy sand. Future work will focus on implementing this framework in global ecLand simulations to assess impacts on near-surface land states and surface fluxes, and subsequently in fully coupled land-atmosphere simulations within IFS to evaluate potential improvements in near-surface atmospheric variables (e.g. 2 m air temperature and relative humidity) and the reliability of ECMWF’s sub-seasonal to seasonal forecasts.

How to cite: Kandala, R., Verhoef, A., Gupta, S., Paulus, S., Boussetta, S., Rosnay, P. D., Rüdiger, C., Zeng, Y., and Black, E.: Advancing Land-Surface Modelling in ecLand Through a Unified Hydro-Thermal Framework, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16547, https://doi.org/10.5194/egusphere-egu26-16547, 2026.

EGU26-17385 | ECS | Orals | HS8.3.3

Field-scale PFAS transport dynamics in a small urban catchment: Insights from Stormwater, Vadose Zone and Groundwater monitoring in a nature-based Infiltration facility. 

Sofia Bouarafa, Somar Khaska, Corinne Le Gal La Salle, Iman Soukrate, Marie Lemoine, and Jean-Marie Côme

The widespread use and extreme persistence of per- and polyfluoroalkyl substances (PFAS) present significant risks to vulnerable hydrologic systems, yet the fate of these compounds originating from diffuse urban runoff remains poorly understood. This study investigates the transport and fate of 25 PFAS compounds within a pilot-scale nature-based infiltration facility, utilizing a multi-parameter in-situ monitoring network to track concentrations across the runoff-soil-groundwater continuum. Through the analysis of three representative rain events across different seasons, results reveal a sharp contrast in PFAS dynamics between environmental compartments. While a pronounced "first flush" effect was observed in surface runoff with peak concentrations of 656 ng/L rapidly decreasing to 5 ng/L the soil matrix acted as a significant geochemical buffer, moderating vadose zone percolate to a narrow range of 26 to 55 ng/L. Interestingly, background PFAS levels in the broader aquifer remained consistently higher (169 - 226 ng/L) than those measured in the vadose zone, suggesting that pre-existing legacy contamination exerts a more dominant influence on groundwater quality than contemporary leaching from the infiltration site. Furthermore, a temporary dilution effect observed in downgradient monitoring wells during rainfall events indicates that urban infiltration practices may locally mitigate groundwater contamination levels. Multivariate analysis identifies low pH and high total organic carbon (TOC) as the primary physicochemical drivers associated with elevated PFAS mobility. Ultimately, this research demonstrates that while urban runoff introduces new PFAS loads, the primary risk at this site stems from background aquifer contamination, providing a strong scientific basis for the promotion of urban infiltration as a sustainable and potentially remedial stormwater management strategy.

How to cite: Bouarafa, S., Khaska, S., Le Gal La Salle, C., Soukrate, I., Lemoine, M., and Côme, J.-M.: Field-scale PFAS transport dynamics in a small urban catchment: Insights from Stormwater, Vadose Zone and Groundwater monitoring in a nature-based Infiltration facility., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17385, https://doi.org/10.5194/egusphere-egu26-17385, 2026.

EGU26-17420 | Orals | HS8.3.3

Zero-Tillage Induces Reduced Bio-Efficacy Against Weed Species Amaranthus retroflexus L. Dependent on Atrazine Formulation 

Daniel Wardak, Faheem Padia, Martine DeHeer, Craig Sturrock, and Sacha Mooney

Zero-tillage (ZT) is a conservation soil management approach which relies more heavily on herbicide application for weed control than in ploughed soil. Changes in soil management can influence the structure and organisation of pore space in soil, which drives changes in the transport of particulates and dissolved substances. Formulation of pesticides can be used to change the delivery of active ingredients to soil; however, it is currently unknown how changing the formulation of an herbicide can influence the transport properties between ZT vs. ploughing. We investigated the bioefficacy of two formulations of the herbicide atrazine, a pre- and post-emergence herbicide that inhibits photosystem II. Bioefficacy was assessed using physical measures and survival analysis of an early photosynthesis-dependent weed species, Amaranthus retroflexus L., over time, and soil pore network structure was assessed by analysing three-dimensional images produced by X-ray Computed Tomography. Increasing the herbicide application rate generally improved bioefficacy, though it was reduced in soils managed under ZT. Under herbicide-treated ZT samples, survival time was higher, ranging from 13.4 to 18.2 days compared with 12.6 to 15.4 days in ploughed samples, the mean dry plant mass was higher, ranging from 0.5 to 2.5 mg compared with 0.05 to 0.68 mg in ploughed samples, and the mean total plant length was higher, ranging from 1.73 to 12.1 mm compared with 0.2 to 5.45 mm in ploughed samples. Changes in the soil pore network previously demonstrated to be indicators of preferential transport were correlated with measures of bioefficacy, including pore thickness and connectivity density. Reduced atrazine efficacy under ZT is problematic considering the inherent reliance on chemical methods for weed control, we suggest that pursuing formulation strategies to alleviate potential risks of loss via preferential transport may be fruitful.

How to cite: Wardak, D., Padia, F., DeHeer, M., Sturrock, C., and Mooney, S.: Zero-Tillage Induces Reduced Bio-Efficacy Against Weed Species Amaranthus retroflexus L. Dependent on Atrazine Formulation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17420, https://doi.org/10.5194/egusphere-egu26-17420, 2026.

EGU26-17667 | ECS | Posters on site | HS8.3.3

Enhancing above-belowground coupling for predictive modelling of tree water stress under deep soil water depletion 

Louis Graup, Fabian Bernhard, Richard Peters, Andrea Carminati, and Katrin Meusburger

An unseen threat of increasing drought stress in forests emerges from below ground: the lack of deep soil water storage refilling between seasons. However, the reliance of trees on deep soil water is not well understood. Depth-dependent root water uptake (RWU) can be estimated with stable water isotopes, though these estimates are prone to uncertainty and the measurements are typically sparse and labor-intensive to collect. Additionally, soil water potential sensors can provide estimates of tree water stress but are also limited in vertical resolution. Soil-vegetation-atmosphere-transfer (SVAT) models can fill this gap and provide a mechanistic link between soil water availability and tree stress. Currently, SVAT models are limited in their ability to describe plant-level water status through leaf water potential or stem water storage. In this project, we enhance an existing SVAT model (LWFBrook90.jl) with plant water capacity and capacitance to simulate diurnal and seasonal variation in plant water pools. These sub-daily cycles of stem shrinkage and refilling are effectively captured by high-precision, point dendrometers, which measure micrometer-scale stem radius variations, and derived through tree water deficit (TWD) which can serve as a drought stress proxy. By comparing modelled plant water storage to TWD, we benefit from a simple, integrated measure of tree water stress that allows the partitioning of root water uptake into transpiration and refilling plant stores. We apply the updated model to a field site in Valais, Switzerland, located within a dry inner-alpine valley, where a long-term irrigation experiment has been ongoing in the Pfynwald, a 100-year-old Scots pine forest. Multiple field campaigns have collected a suite of observational data for model calibration, including soil water content and potential, soil and xylem isotopes, sap flow, and tree water deficit. Model results indicate that peak transpiration is sourced from an average of 50 cm depth, while deeper water sources are unable to compensate for late-summer water demand, contributing minimally to RWU. Irrigation considerably modified the ecosystem water balance and shifted root water uptake to shallow layers in the top 20 cm, while the legacy effects of irrigation after it was stopped show an alleviation of stress that allows more efficient RWU from deep soils, consistent with sustained root investment developed under long-term irrigation.

How to cite: Graup, L., Bernhard, F., Peters, R., Carminati, A., and Meusburger, K.: Enhancing above-belowground coupling for predictive modelling of tree water stress under deep soil water depletion, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17667, https://doi.org/10.5194/egusphere-egu26-17667, 2026.

EGU26-17845 | ECS | Orals | HS8.3.3

Evaluation of Water–Salt Regulation and Economic Performance of Sand-Column–Assisted Subsurface Pipe Drainage in Saline–Alkali Soils Containing Low-Permeability Layers 

Mingrui Jin, Zhanbo Meng, Yuan Tao, Shaoli Wang, Xiaoyan Guan, Yunshi Niu, and Hairuo Liu

Soil salinization is a major constraint on the sustainable development of global agriculture. As an effective technique for reclaiming saline soils, subsurface pipe drainage often exhibits limited drainage and salt removal efficiency under complex soil conditions characterized by low-permeability layers. To enhance drainage and salt removal efficiency, this study proposes a sand-column–assisted subsurface pipe drainage system, in which sand columns are installed directly above subsurface pipes and between adjacent pipes to establish stable vertical percolation pathways. Based on two years of field experiments and HYDRUS-3D numerical simulations, the regulatory effects of sand-column–assisted subsurface pipe drainage on the spatiotemporal variation of profile salinity, drainage and salt removal capacity, and groundwater dynamics were systematically evaluated, and comparisons were conducted with conventional subsurface pipe drainage under fixed-quota and fixed-time irrigation schemes focusing on drainage capacity, desalination efficiency, and economic benefits. The results indicated that over the two-year experimental period, soil salinity in the 0-40 cm plough layer of plots with sand-column-assisted subsurface pipe drainage declined from 15.48 g/kg to 8.53 g/kg, achieving a desalination rate of 44.85%, and no salt accumulation was observed in deeper soil layers. Under both fixed-quota and fixed-time irrigation conditions, sand-column–assisted subsurface pipe drainage exhibited superior groundwater control performance compared with conventional subsurface pipe drainage. Under the same irrigation amount, sand-column–assisted subsurface pipe drainage was more suitable for rapidly reducing surface soil salinity in the plough layer, whereas conventional subsurface pipe drainage showed more pronounced advantages in total salt removal and sustained salt discharge capacity. The average salt removal rate of sand-column–assisted subsurface pipe drainage was 49.23% higher than that of conventional subsurface pipe drainage at 1.5 d, whereas the cumulative salt removal of conventional subsurface pipe drainage was on average 16.19% higher than that of sand-column–assisted subsurface pipe drainage at 15 d. Under identical irrigation durations, the cumulative salt discharge of sand-column–assisted subsurface pipe drainage was generally higher than that of conventional subsurface pipe drainage. At a pipe spacing of 10 m, the per-hectare infiltrated water volumes for conventional subsurface pipe drainage and sand-column–assisted subsurface pipe drainage were 1399.95 m³ and 2128.05 m³, respectively, with salt removal by sand-column–assisted subsurface pipe drainage being 9.40% higher than that under conventional subsurface pipe drainage. Comprehensive economic evaluations under the two operating scenarios indicated that under fixed-quota irrigation leaching conditions, sand-column–assisted subsurface pipe drainage system with sand columns installed only above subsurface pipes showed overall economic advantages in terms of EIRR, ENPV, EBCR, and payback period. Under fixed-time irrigation leaching conditions, conventional subsurface pipe drainage exhibited superior overall economic benefits compared with sand-column–assisted subsurface pipe drainage with sand column uniformly installed both above the pipes and between adjacent pipes, whereas sand-column–assisted subsurface pipe drainage with sand columns installed only above the pipes exhibited better economic performance than conventional subsurface pipe drainage.

How to cite: Jin, M., Meng, Z., Tao, Y., Wang, S., Guan, X., Niu, Y., and Liu, H.: Evaluation of Water–Salt Regulation and Economic Performance of Sand-Column–Assisted Subsurface Pipe Drainage in Saline–Alkali Soils Containing Low-Permeability Layers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17845, https://doi.org/10.5194/egusphere-egu26-17845, 2026.

EGU26-18333 | ECS | Orals | HS8.3.3

Disentangling hydrological responses of forest ecosystems to impulses of precipitation, VPD and solar radiation 

Stefano Martinetti, Peter Molnar, James W. Kirchner, and Marius G. Floriancic

Water fluxes in the critical zone are driven by various environmental variables. For example, soil water is rapidly replenished during precipitation events and is slowly emptied during periods of transpiration at rates which are mainly driven by diurnal solar radiation and vapor pressure deficit. Precipitation, solar radiation and vapor pressure deficit correlate, which complicates proper disentanglement of their individual effects on tree physiology and tree-mediated water fluxes. Here, we use Ensemble Rainfall-Runoff Analysis (ERRA) to disentangle how different environmental variables contribute to ecosystem water fluxes (net soil water and tree water recharge and sapflow) measured at the ‘WaldLab Forest Experimental Site’ in Zurich. The methodology is data‐driven and relies on non-linear and non-stationary deconvolution of time series to infer impulse-response functions. These impulse-response functions quantify the intensity and the time lag in the responses of tree-mediated water fluxes to precipitation, solar radiation and vapor pressure deficit, and account for any covariation effects among these drivers. The results are based on five years of sub-daily sapflow and dendrometer measurements on three beech and spruce trees, respectively, and show the immediate response of tree water fluxes at the field site. Notably, the response of sapflow and tree water recharge towards solar radiation is more pronounced then the response towards vapor pressure deficit, reflecting the higher importance of radiation (a physiological necessity) compared to vapor pressure deficit (a hydraulic boundary condition) in driving transpiration. Beech and spruce trees differ in the duration of the response, with spruce trees showing responses lasting longer then beech, reflecting the higher hydraulic capacitance of spruce trees. Our study highlights how this novel impulse-response approach helps identifying soil-plant-atmosphere relations that complement our understanding of how forest ecosystems work.

How to cite: Martinetti, S., Molnar, P., Kirchner, J. W., and Floriancic, M. G.: Disentangling hydrological responses of forest ecosystems to impulses of precipitation, VPD and solar radiation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18333, https://doi.org/10.5194/egusphere-egu26-18333, 2026.

EGU26-21575 | ECS | Orals | HS8.3.3

Antecedent state and the temporal organization of soil moisture response to episodic rainfall  

Guilin Luo, Liling Chang, David M Hannah, and Stefan Krause

Standard ecohydrological analyses typically frame soil moisture dynamics as direct responses to discrete rainfall episodes. However, this “forcing-first” perspective implicitly assumes that subsurface response timescales are synchronized with atmospheric intermittency—an assumption that breaks down when soil moisture dynamics bridge multiple storms or when storage depletion occurs within shorter timescales.  Here, we demonstrate that relying on meteorological event definitions leads to a fundamental mischaracterization of the temporal organization of soil storage. By applying an anomaly-based signal analysis to multi-year, profile-resolved field observations, we decoupled subsurface storage dynamics from rainfall timing to isolate observable patterns of soil response.  The analysis reveals two critical dynamics that event-based logic obscures. First, antecedent wetness is associated with a distinct regime-dependent transition in response structure: broadly distributed, multi-day storage anomalies in dry conditions contract into rapid, sub-day drainage pulses in wet conditions. This effectively decouples the subsurface response duration from the rainfall duration. Second, soil moisture dynamics frequently integrate multiple distinct precipitation episodes into single, coherent observed storage trajectories, particularly in deeper layers. These findings show that the temporal organization of soil moisture is governed by the interplay of forcing and antecedent state, not merely by rainfall timing. We conclude that forcing-based definitions are insufficient for capturing effective system memory, and that accurately characterizing ecohydrological function requires defining events by their subsurface response rather than their atmospheric input. 

How to cite: Luo, G., Chang, L., Hannah, D. M., and Krause, S.: Antecedent state and the temporal organization of soil moisture response to episodic rainfall , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21575, https://doi.org/10.5194/egusphere-egu26-21575, 2026.

EGU26-1162 | ECS | Posters on site | SM6.5

2-D Acoustic Full Waveform Ambient Noise Inversion 

Aileni Mahesh and Arjun Datta

We present a 2-D ambient noise full waveform inversion technique based on noise

cross-correlation sensitivity kernels. These kernels are constructed through the adjoint state

method, using a time-domain finite-difference solver to simulate both forward and

adjoint acoustic wavefields. Both the ambient noise source distribution and velocity structure

are treated as unknown. The inversion for source, and then structure parameters is

carried out sequentially. This sequential inversion is based on waveform energy misfit in

the case of noise source and cross-correlation travel time misfit in the case of velocity

structure. The present study focuses on applying this ambient noise full waveform inversion

methodology at local scales.

We use this approach to image the velocity structure beneath the Lonar crater in India.

This basaltic impact crater has close geological analogs on the Moon, and its internal structure

provides an important benchmark for assessing geometric models of crater formation.

We compare the results from our inversion with those obtained using conventional ambient

noise interferometry, which relies on Green’s function retrieval.

How to cite: Mahesh, A. and Datta, A.: 2-D Acoustic Full Waveform Ambient Noise Inversion, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1162, https://doi.org/10.5194/egusphere-egu26-1162, 2026.

Detailed imaging of shallow architectural structures in sedimentary basins is critical for seismic hazard assessment, especially in regions with complex tectonic environments. The Handan area, located at the junction of the Taihang Mountain Piedmont Fault and the Yongnian-Cixian Fault, features significant variations in Quaternary sediment thickness and frequent seismicity. However, thick sedimentary cover often obscures basement faults, necessitating high-resolution geophysical methods for structural characterization. In this study, we utilize continuous waveform data from a dense array of 500 short-period seismometers (approx. 1 km spacing) deployed in the Handan region from August to September 2024. We present a joint investigative approach combining the Horizontal-to-Vertical Spectral Ratio (HVSR) method and higher-mode surface wave analysis. First, the HVSR method was employed to extract fundamental resonance frequencies (f0), which reveal a strong spatial correlation with local topographic and tectonic features. Second, we implemented the subarray-based frequency-Bessel (F-J) transform method to extract higher-mode Rayleigh wave dispersion curves from ambient noise cross-correlation functions. The inclusion of higher modes significantly enhances the imaging resolution and provides stronger constraints on the velocity structure compared to fundamental-mode methods. By inverting these dispersion curves, we obtained a high-resolution 3D S-wave velocity (Vs) model extending to a depth of 1.5 km. The results reveal pronounced velocity contrasts across major fault zones, particularly the Taihang Piedmont Fault. Furthermore, by integrating the f0 data with the Vs model, we derived a precise regional sedimentary thickness map. The estimated thickness ranges from tens of meters in the western mountainous areas to over 800 meters in the eastern basins, aligning well with existing borehole data and geological frameworks. These findings provide quantifiable constraints for earthquake hazard assessment, urban planning, and the identification of concealed faults in the North China Plain.

How to cite: Zhang, Y., Miao, W., Li, Y., and Wang, X.: Unveiling sedimentary architecture and concealed faults in the Handan region through HVSR and high-mode surface wave analysis based on a dense array, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2654, https://doi.org/10.5194/egusphere-egu26-2654, 2026.

Interpretation of self-potential (SP) anomalies is challenging due to the presence of spatially coherent background noise that can obscure or distort the source signal. These systematic background effects, analogous to regional components in gravity or magnetic methods, arise from measurement errors, heterogeneous subsurface conditions, or interactions among multiple anomalous sources. They often exhibit non-linear behavior that cannot be adequately addressed using a constant or linear slope. Earlier approaches attempted to remove such coherent patterns through baseline corrections or linear de-trending.This study presents an incremental algorithmic development for the interpretation of SP anomalies associated with a 2D inclined thin-sheet structure, explicitly accounting for non-linear background contributions while jointly estimating source geometry. Using the metaheuristic technique of Particle Swarm Optimization (PSO), the background field is parameterized as a second-order polynomial, with coefficients representing a constant offset, linear gradient, and quadratic curvature. These coefficients are simultaneously optimized with the source parameters using an L2-norm type misfit. The method is particularly stable with respect to depth and half-width of causative body; however, dip, location, and electric dipole moment can become ambiguous in the presence of noise. Therefore, separation of background trends from the signal is crucial for recovering the actual source parameters accurately. To assess solution stability, the spread of solution ensemble obtained from multiple independent PSO runs under identical conditions is analyzed. To further evaluate parameter sensitivity and interdependence, a correlation matrix is computed and crossplots are plotted. Among the background components, quadratic curvature exhibits the strongest coupling with the recovered source parameters, whereas the constant offset shows minimal influence compared with source-only optimization.When extended to multiple-source SP anomaly data, quadratic background modeling proved inadequate. Using a single quadratic polynomial failed to capture complex regional–local interactions, while assigning separate quadratic backgrounds to individual sources unnecessarily increased the dimensionality of the model space. To address this problem, a residual-based higher-order background modeling approach is implemented. In this approach, source parameters are optimized first, and the resulting residual field is iteratively approximated using a polynomial of the lowest order necessary to capture systematic background effects within the optimization framework, thereby avoiding the enforcement of a fixed polynomial degree.The proposed method is evaluated using synthetic SP anomaly data under both noise-free and noisy conditions and is subsequently validated using field datasets, including a single-source anomaly from the Surda region, India, and a multiple-source anomaly from KTB region, Germany.

Overall, the proposed approach offers benefit in improved recovery of source parameters by effectively decoupling source and background responses. The polynomial background represents long-wavelength, spatially coherent variations of physical origin superimposed on target signal. However, this approach increases model dimensionality, may lead to overfitting if search bounds are not appropriately constrained, and may result in non-unique polynomial representations in multi-source cases.

Keywords: Self-Potential (SP) method, 2D inclined thin-sheet, Non-linear background, Particle Swarm Optimization, Residual modeling.

How to cite: Chakraborty, S. and Sharma, S. P.: Interpretation of Self-Potential Anomalies over 2D Inclined Thin Sheet structure using Particle Swarm Optimization with Non-linear Polynomial Modeling of Background Effects, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2715, https://doi.org/10.5194/egusphere-egu26-2715, 2026.

Magnetic gradient tensors obtained from multiple magnetic sensors have been increasingly applied in various near-surface explorations. Accurate interpretation of high-resolution magnetic gradient tensor data requires analytical expressions due to simple geometric bodies. In this study, analytical expressions for the magnetic field and magnetic gradient tensor responses due to an elliptical cylinder are derived. An elliptical cylinder is geologically relevant, as igneous intrusions such as kimberlite pipes commonly exhibit elliptical cross-sections with axial symmetry and anisotropic radial extents in the strike and transverse directions. The magnetic responses are obtained by transforming the previously derived gravity gradient tensor of an elliptical cylinder using Poisson’s relation. The gravitational potential, defined as a triple integral, is differentiated twice with respect to each coordinate axis to obtain the gravity gradient tensor. And the gravity gradient tensors are then converted into magnetic responses in the real domain. The magnetic gradient tensor expressions in the real domain are integrated along the symmetry axis (z-direction) to reduce them to double integrals. By introducing complex variables, the real double integrals are transformed into complex integrals. Finally, using the complex form of Green’s theorem, the magnetic gradient tensors due to the elliptical cylinder are expressed as a one-dimensional line integral evaluated along the elliptical boundary.

 Acknowledgements: This work was supported in part by research project from KIGAM and G-LAMP project based on a National Research Foundation of Korea grant from the Ministry of Education (No. RS-2023-00301938), S. Korea. 

How to cite: Rim, H.: Closed-form expressions of the magnetic and magnetic gradient tensor due to an elliptical cylinder, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3204, https://doi.org/10.5194/egusphere-egu26-3204, 2026.

EGU26-3855 | ECS | Posters on site | SM6.5

Sediment Thickness of European Basins Inferred from P-to-S Receiver Functions 

Dániel Kalmár, Gergely Fodor, Auggie Marignier, and Attila Balázs

Sediment thickness is a key parameter in seismological studies, influencing seismic wave propagation, ground-motion amplification, and the interpretation of crustal and upper-mantle structure. Thick sedimentary cover, characterized by low seismic velocities, can strongly bias tomographic inversions if not properly accounted for. While receiver-function–based approaches have proven effective for estimating sediment thickness in Australia and North America, their systematic application across Europe has remained limited.

Here we test and refine a P-to-S receiver function (PRF)–based method for estimating sediment thickness in Central and Eastern Europe, focusing on major sedimentary basins including the Pannonian Basin, where sediment thickness locally exceeds 8 km. Additional analyses are carried out in the Vienna and Transylvanian basins to capture a wider range of geological settings. This method is controlled and compared to data derived from reflection seismic profiles and deep borehole data from the basins.

Using teleseismic PRFs, we measure the delay time of the P-to-S converted phase at the sediment–basement interface and relate it to sediment thickness through empirical fitting. The fitting accounts for multiple controlling parameters, including PRF delay time, basin-specific seismic velocity characteristics, and regional geological context. The study region represents an exceptional natural laboratory, as dense temporary and permanent seismic networks (e.g., AlpArray, PACASE, and AdriaArray) have been operating for nearly a decade, providing unprecedented data coverage.

Our results demonstrate that PRF-derived delay times reliably capture first-order variations in sediment thickness across structurally complex European basins. Our long-term goal is to extend this approach to the entire European continent, enabling a consistent, low-cost framework for mapping sediment thickness across diverse tectonic environments.

How to cite: Kalmár, D., Fodor, G., Marignier, A., and Balázs, A.: Sediment Thickness of European Basins Inferred from P-to-S Receiver Functions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3855, https://doi.org/10.5194/egusphere-egu26-3855, 2026.

Hydrothermal eruptions are a type of volcanic explosion that are less well known but not less important. They constitute a group of eruptions where no magma is expelled at the surface, and are characterized by the ejection of liquids and gasses, and possible fragments of host rock. Compared to the better-known, magmatic eruption, classic pre-eruptive signals like increased seismicity and ground deformation are not clearly present, making hydrothermal eruptions very unpredictable and hence extremely destructive. Some pre-eruptive signals have been defined, but they are very case-specific, and they can be inconsistent between eruptions. Hence, we want to explore the feasibility of geo-electrics as an additional tool to understand the dynamics of hydrothermal eruptions and better predict them in the future. Specifically, we explore the potential of Electrical Resistivity Tomography (ERT) because of its sensitivity to temperature and saturation, the main parameters we expect to change prior to an eruption. Since volcanic processes can span over long time periods, we consider geysers as a natural laboratory to study hydrothermal eruptions. In this context, a geyser is essentially a mini-volcano that goes through a repeated cycle of boiling, gas accumulation, and over-pressurisation culminating in an eruption. Monitoring this with ERT contains some significant challenges compared to the slow-changing volcanic systems; the eruption cycle can be as short as a few minutes (e.g. Strokkur, Iceland), can take up to an hour (El Tatio Geysers, Chile), or even multiple hours to a few days (Yellowstone Geysers, USA).

Here we present data from two geyser monitoring campaigns: Strokkur, Iceland, and El Tatio, Chile, constituting a wide range of eruption dynamics. The main goal of our study is to capture the changes in temperature and saturation using ERT. From a monitoring perspective, each phase of the eruptive cycle needs to be imaged sufficiently to capture the system dynamics. Since a single ERT measurement can be time intensive, measurement protocols had to be designed that weigh time and resolution in an appropriate way tailored to the specific field conditions. We performed characterisation and monitoring using different configurations, including a traditional linear array and novel (concentric) circular arrays. The reservoir geometry can be well constrained due to a high contrast in temperature and salinity of the geothermal fluids and the surrounding host rock. Changes in the monitoring data are hypothesised to be related to the saturation and thus filling and emptying of the shallow reservoirs. To the author's knowledge, this is the first study using ERT to monitor geyser dynamics with a high temporal resolution. Survey design remains an obstacle due to tough meteorological conditions and quick subsurface dynamics, but the first results show there is great potential for ERT as a geyser, and by extension volcano monitoring tool.

How to cite: Vanhooren, L., Caudron, C., and Hermans, T.: High Resolution Geyser Monitoring using Electrical Resistivity Tomography (ERT) – cases from Chile (El Tatio) and Iceland (Strokkur) , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3948, https://doi.org/10.5194/egusphere-egu26-3948, 2026.

EGU26-3956 | ECS | Orals | SM6.5

Discriminating dipole signals from geologically noisy electromagnetic induction data with convolutional neural networks 

Wouter Deleersnyder, Jorge Lopez-Alvis, Laurens Beran, and Lindsey Heagy

Historical unexploded ordnance (UXO) contamination is a widespread environmental challenge, leading to human casualties and chemical contamination. Electromagnetic induction (EMI) methods are commonly used to detect unexploded ordnance in both terrestrial and marine settings. Using traditional advanced geophysical classification, UXOs can be discriminated from other metallic clutter via a physics-based inversion approach that matches obtained polarizability curves from EMI data with a library of common UXO polarizabilities. This workflow requires identifying dipoles in the acquired dataset. Non-dipolar anomalies can complicate the identification of targets of interest. Some geological conditions, for example, in areas with strong magnetic soil responses and areas with metallic clutter, make it hard to discriminate between dipolar and non-dipolar anomalies.

In this work, we build on our previously developed convolutional neural network (CNN) that classifies UXO directly from EMI data [1]. Our CNN outputs a probability map that preserves the spatial dimensions of the input. We train the CNN using synthetic data generated with a dipole forward model that considers relevant UXO and clutter objects, and train it to discriminate those dipoles in field data. A key novelty is the interplay between (1) training the CNN to handle the expected noise levels in the field and (2) transferring the CNN to field sites with potential new or "unseen" types of (geological) noise. We demonstrate test procedures required to build trust in machine learning approaches for UXO classification, where false negatives can have a significant impact.

[1] Heagy, L., Lopez-Alvis, J., Oldenburg, D., Song, L.-P., and Billings, S.: Using convolutional neural networks to classify unexploded ordnance from multicomponent electromagnetic induction data, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13722, https://doi.org/10.5194/egusphere-egu25-13722, 2025.

How to cite: Deleersnyder, W., Lopez-Alvis, J., Beran, L., and Heagy, L.: Discriminating dipole signals from geologically noisy electromagnetic induction data with convolutional neural networks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3956, https://doi.org/10.5194/egusphere-egu26-3956, 2026.

EGU26-4143 | ECS | Posters on site | SM6.5

The seismogenic mechanism of the Luding MS6.8 earthquake revealed from preseismic S-wave velocity structure and b-value distribution of the epicenter area 

Qian Hua, Shunping Pei, Xiaotian Xue, Lei Li, Jiawei Li, and Hanlin Liu

    On 5 September 2022, an Ms6.8 earthquake occurred in Luding County, Garze Prefecture, Sichuan Province, which broke a "quiet period" of large earthquakes in the southeast section of the Xianshuihe fault and caused a major natural disaster. The seismogenic structure, seismicity and stress state in the epicenter area of the Luding earthquake plays an important role in understanding the seismogenic mechanism of strong earthquake. In this paper, based on the seismic waveform recorded from 50 short-period seismic stations deployed in the Luding area before the earthquake and the seismic travel time data collected from the regional seismic networks, we investigated high-resolution S-wave velocity structure, spatial earthquake distribution and b-value variation images of shallow crust in the Luding area before the earthquake by ambient noise tomography, double-difference relocation and improved b-value imaging method, respectively. The results show that the mainshock rupture of the Luding earthquake initiated from an asperity with high-velocity anomaly and high stress characteristics in the Moxi segment of the Xianshuihe fault. On the west side of the mainshock, we revealed a hidden normal fault resulted from the largest M5.0 aftershock, which is concomitant branch fault within Xianshuihe Fault system. The mainshock ruptured  both a dominant asperity  and another smaller southeastern asperity with high-velocity, and caused clustered aftershocks there. These results indicate that the high-velocity "rivet" structures cross fault and high stress accumulation before the earthquake in the source area controlled the occurrences of the Luding mainshock as well as strong aftershocks in general. Identifying these special "rivet" structures through high-resolution structure imaging as well as high stress situation through b-value imaging can effectively evaluate the seismogenic capacity of faults, which is of great significance to seismic hazard assessment in key areas. 

How to cite: Hua, Q., Pei, S., Xue, X., Li, L., Li, J., and Liu, H.: The seismogenic mechanism of the Luding MS6.8 earthquake revealed from preseismic S-wave velocity structure and b-value distribution of the epicenter area, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4143, https://doi.org/10.5194/egusphere-egu26-4143, 2026.

Dispersion imaging is a key step in Multichannel Analysis of Surface Waves (MASW) for estimating the shear-wave velocity structure of the subsurface. High-resolution linear Radon transform (HRLRT) was introduced to improve spectral resolution; however, it is known to suffer from model-incompatibility and near-field effects. In this study, we show that even in the absence of near-field effects, the inner and outer iterative structure of HRLRT systematically modifies the low-frequency portion of the dispersion image. While high-frequency spectral energy in the wavenumber domain is improved, the low-frequency energy is distorted, leading to a shift in the extracted dispersion curves when compared with beamforming and other wavefield-transformation methods. This behaviour can introduce bias in phase-velocity picking and subsequently in shear-wave velocity inversion, particularly for deep layers controlled by low-frequency data. Our results highlight a trade-off between resolution and physical fidelity when using HRLRT for MASW dispersion analysis.

How to cite: Adari, S. and Naskar, T.: When High Resolution Goes Wrong: Low-Frequency Distortion in Linear Radon-Based Dispersion Imaging, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4390, https://doi.org/10.5194/egusphere-egu26-4390, 2026.

EGU26-4723 | Posters on site | SM6.5

Ambient Noise Full Waveform Inversion with Physics-Informed Generative Adversarial Networks 

Yulong Ma, Jianghai Xia, Feng Cheng, and Jianbo Guan

Extreme climate events and increasing geohazard risks require high-resolution near-surface seismic imaging to better characterize subsurface structures. Ambient seismic noise provides a cost-effective alternative to active-source surveys and has been widely used for S-wave velocity imaging through dispersion-based ambient-noise tomography. However, these approaches rely on accurate Green’s function retrieval, which assumes isotropic and uncorrelated noise sources—conditions rarely satisfied in real field environments. As a result, waveform distortions and resolution loss are common, limiting the quantitative interpretability of conventional ambient-noise imaging.

Ambient-noise full waveform inversion (FWI) offers a promising pathway to overcome these limitations by directly fitting cross-correlation waveforms and fully exploiting waveform information. Nevertheless, its application remains challenging due to strong trade-offs between subsurface structure and unknown noise source characteristics, severe nonlinearity and cycle-skipping, and the lack of reliable constraints on noise source distributions. These issues have so far hindered the practical implementation of ambient-noise FWI in complex near-surface settings.

To address these challenges, we develop a physics-informed generative adversarial network (PIGAN) framework for ambient-noise waveform inversion to accurately estimate physically consistent velocity models in a distributional sense. The wave-equation-based cross-correlation operator is embedded into the generator to ensure physical consistency, while a neural-network discriminator evaluates the mismatch between observed and simulated data. A one-dimensional Wasserstein distance is adopted to enhance robustness to noise and phase uncertainties. The proposed method organically integrates wave-equation constraints, deep learning, optimal transport metrics, and a minimax game formulation, combining the strengths of physics-informed modeling and data-driven representation. This framework enables joint inversion for subsurface velocity structure and ambient noise source characteristics, effectively mitigating source–structure trade-offs. Moreover, it does not require labeled datasets or network pretraining; therefore, the framework is flexible and enables inversion with minimal user interaction. Synthetic tests and field applications in the Qinghai–Tibet Engineering Corridor demonstrate improved resolution and deeper illumination, providing new constraints on fault zone structures and implications for geohazard assessment.

How to cite: Ma, Y., Xia, J., Cheng, F., and Guan, J.: Ambient Noise Full Waveform Inversion with Physics-Informed Generative Adversarial Networks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4723, https://doi.org/10.5194/egusphere-egu26-4723, 2026.

EGU26-4767 | ECS | Posters on site | SM6.5

Multi-frequency P-wave polarization angle inversion for shallow crustal structure 

Kyungmin Kim and Sung-Joon Chang

P-wave polarization analysis provides valuable constraints on near-surface S-wave velocity by measuring the polarization angles of P-wave arrivals at seismic stations. However, the depth sensitivity of this method has not been well quantified, limiting its broader application to velocity structure estimation. In this study, we investigate the depth sensitivity of P-wave polarization angles across multiple frequency bands using numerical approaches based on the reflectivity method. Using the resulting frequency-dependent sensitivity kernels, we perform multi-frequency inversion of P-wave polarization angle measurements to estimate the shallow crustal S-wave velocity structure from the near-surface to the mid-crust. We apply this method to three-component seismic data recorded at hundreds of stations across the southern Korean Peninsula. The resulting velocity structures from 1 to 20 km depth show good agreement with receiver function results, while shallow structures within the upper 1 km are consistent with local site survey measurements. These results demonstrate that multi-frequency P-wave polarization angle inversion provides a complementary constraint on near-surface to mid-crustal S-wave velocity structure and can enhance the characterization of near-surface seismic properties.

How to cite: Kim, K. and Chang, S.-J.: Multi-frequency P-wave polarization angle inversion for shallow crustal structure, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4767, https://doi.org/10.5194/egusphere-egu26-4767, 2026.

Active seismic methods are widely used in near-surface geophysics for subsurface characterization, but existing processing softwares often present significant limitations. Proprietary packages are expensive, lack transparency in their processing algorithms, and often include extensive features unnecessary for near-surface applications, while open-source alternatives frequently suffer from limited file format support, slow performance when handling large datasets, complex installation procedures, and dependence on specific configuration files. We present PyCKSTER, an open-source PyQt5-based graphical user interface designed to address these challenges by providing an efficient and user-friendly solution for active seismic data workflows.

PyCKSTER uses ObsPy (Beyreuther et al., 2010; https://www.obspy.org) to handle standard seismic file formats (SEG2, SEGY, Seismic Unix), and relies on pyqtgraph (https://www.pyqtgraph.org) for optimized visualization. The software provides comprehensive data editing capabilities including batch header modification (source and trace coordinates,, delay, topography integration), trace manipulation (move, swap, mute, delete), and interactive quality control. Intuitive mouse-driven picking tools with multiple visualization options (source/geophone diagrams, hodochrones) facilitate traveltime analysis. Picked traveltimes are saved in pyGIMLi's unified format (Rücker et al., 2017; https://www.pygimli.org), enabling direct velocity model reconstruction through the integrated pyGIMLi inversion module or advanced processing using pyGIMLi's extended capabilities.

PyCKSTER also includes a surface wave processing module, addressing a common gap in near-surface seismology where body wave and surface wave analyses are typically performed separately due to limited tool availability and specialized expertise requirements. While both wave types are recorded in the same dataset, their joint processing enables comprehensive characterization through combined Vp and Vs analysis, ultimately allowing investigation of Vp/Vs and Poisson's ratio for improved lithological and hydrogeological interpretation. The software computes dispersion images using phase-shift transform developed in PAC (Cunha Teixeira et al., 2025) and offers interactive picking capabilities with windowing options. The tool also supports importing dispersion curves from the MATLAB package SWIP (Pasquet & Bodet, 2017; https://github.com/spasquet/SWIP), facilitating integration with existing workflows. Advanced dispersion windowing, stacking, and inversion capabilities are currently under development.

PyCKSTER is distributed under the GPLv3 license and available via PyPI, requiring no configuration files for standard use. We demonstrate the software's capabilities through field data examples and discuss ongoing developments.

Beyreuther, M., Barsch, R., Krischer, L., Megies, T., Behr, Y., Wassermann, J., 2010. ObsPy: A Python Toolbox for Seismology. Seismological Research Letters 81, 530–533. https://doi.org/10.1785/gssrl.81.3.530

Cunha Teixeira, J., Burzawa, A., Bodet, L., Hallier, A., Decker, B., Lin, F., Dangeard, M., Boisson Gaboriau, J., Dhemaied, A., 2025. Passive and Active Computation of MASW (PAC). https://doi.org/10.5281/zenodo.17639980

Pasquet, S., Bodet, L., 2017. SWIP: An integrated workflow for surface-wave dispersion inversion and profiling. GEOPHYSICS 82, WB47–WB61. https://doi.org/10.1190/geo2016-0625.1

Rücker, C., Günther, T., Wagner, F.M., 2017. pyGIMLi: An open-source library for modelling and inversion in geophysics. Computers & Geosciences 109, 106–123. https://doi.org/10.1016/j.cageo.2017.07.011

How to cite: Pasquet, S.: PyCKSTER: An open-source Python tool for interactive processing and analysis of active near-surface seismic data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5021, https://doi.org/10.5194/egusphere-egu26-5021, 2026.

EGU26-5634 | ECS | Orals | SM6.5

Large scale assessment of railway site conditions using broaDband resonance frequencies from DAS data 

Joseph Grand, Eleonore Stutzmann, and Luis-Fabian Bonilla

Modern French railway network is equipped with optical fibers dedicated to telecommunication purposes, among which some remain unused. These so-called dark fibers can be exploited using Distributed Acoustic Sensing technology (DAS) to provide an effective tool for rapid assessment and long-term monitoring of site conditions along railways tracks. We present a methodology applied to a 20 km long DAS array operating under normal railway traffic conditions, highlighting the capability to perform continuous spatial analysis at kilometer scale with measurements every 5 meters. Despite the limited coupling associated with the on-conduit installation, corresponding to the standard operational conditions without any modification to the existing infrastructure, time windows selected before and after train passages allow the extraction of the resonance frequencies at each DAS channel, overcoming the low signal to noise ratio of the installation setup. Variations of resonances frequencies along the railway reflect changes in near surface soil conditions, related either to shear wave velocity or to variation in impedance contrast depth, with rapid spatial variation observed in karstic areas over only a few tens of meters. The novelty of this work lies in the use of resonances frequencies as a stable and repeatable site parameter derived from DAS data on a large scale. While this information does not quantify site amplification, they provide direct information on the frequency ranges that may be preferentially amplified. This makes them well suited for long term monitoring and for tracking temporal or spatial changes in site conditions under linear infrastructures, and for supporting future strategies to manage infrastructure evolution and time dependent variability.

How to cite: Grand, J., Stutzmann, E., and Bonilla, L.-F.: Large scale assessment of railway site conditions using broaDband resonance frequencies from DAS data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5634, https://doi.org/10.5194/egusphere-egu26-5634, 2026.

The shallow subsurface media in urban areas are closely related to human life. Near-surface media generally exhibit characteristics such as lower seismic wave velocity, lower density, stronger absorption of seismic wave energy, and significant heterogeneity both laterally and vertically. When seismic waves propagate upward from the deeper high-impedance bedrock to the low-impedance loose overburden near the surface, influenced by energy conservation and strong impedance contrasts, significant ground motion amplification occurs, characterized by increased amplitude and prolonged vibration duration. This site effect can trigger resonance phenomena, exacerbate the destructive power of strong earthquakes, and lead to severe disasters. Therefore, acquiring high-resolution shallow shear-wave velocity structures through advanced imaging techniques is crucial for site response evaluation and seismic hazard risk prevention and control. As an ultra-dense seismic observation method, Distributed Acoustic Sensing (DAS) technology offers a sensor spacing of 1–10 meters, enabling higher-resolution imaging of near-surface structures at a lower cost. The Wenyu River area in Beijing features complex geological structures, including potential geological hazards such as ground fissures and land subsidence, which significantly impact urban planning and underground space construction in Beijing. This study utilizes data collected from a DAS system deployed in the Wenyu River area to conduct near-surface imaging research, obtaining a high-resolution two-dimensional shear-wave velocity structure within a depth of 80 meters. The results reveal significant vertical stratification in shear-wave velocity from 0 to 80 meters depth: a low-velocity zone with Vs < 150 m/s at 0–10 meters depth, likely caused by backfill during fiber optic installation; a gradual increase in shear-wave velocity from 150 m/s to 300 m/s at 10–40 meters depth; and increased medium stiffness at 40–80 meters depth, with shear-wave velocities reaching approximately 450 m/s, reflecting a lithological transition from loose fill and silty clay to dense sand-gravel layers. Local low-velocity anomalies observed in channels CH036 and CH131 are likely attributed to the cavity effect of underground drainage channels and reduced soil shear modulus due to water infiltration from an artificial lake, as confirmed by field investigations.

How to cite: Yu, X., Yang, J., and Zhang, W.: Ambient noise shallow structure imaging with distributed acoustic sensing: A case study in Wenyu River area, Beijing, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6349, https://doi.org/10.5194/egusphere-egu26-6349, 2026.

The uranium mineralization has been reported at multiple locations within the South Purulia Shear Zone (SPSZ), as well as in its north-eastern extension near Bari village, located approximately 19 km from the central SPSZ. To delineate the structural framework, depth extent, and potential uranium-bearing zones in this region, a comprehensive resistivity and induced polarization (IP) survey was conducted at different location in the vicinity of Bari region. The study involved 2D electrical resistivity tomography (ERT) with multi-electrode Schlumberger and dipole–dipole arrays, induced polarization (IP) surveying using a multi-electrode Schlumberger array, and gradient resistivity profiling (GRP) along multiple parallel profiles perpendicular to the regional strike. This setup enabled detailed imaging of the subsurface resistivity distribution and identification of chargeable zones. Interpretation of the ERT and IP and GRP data revealed a prominent resistive body located at a depth of approximately 30–35m, extending laterally in the east-west direction. The high-resistivity zone observed in the ERT and GRP sections corresponded spatially with high-chargeability anomalies in the IP data, suggesting the presence of disseminated uranium mineralization zones. The coincident high resistivity and chargeability anomalies are indicative of potential uranium-bearing alteration zones hosted within muscovite quartz schist units. The integrated application of geophysical methods in this study significantly enhances the accuracy of target identification and facilitates the effective delineation of subsurface geological structures dimensions.

How to cite: Bar, H.: Integrated Electrical Resistivity and Induced Polarization Investigation of Uranium Mineralization in the North-Eastern Extension of the South Purulia Shear Zone, India, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7014, https://doi.org/10.5194/egusphere-egu26-7014, 2026.

EGU26-7411 | ECS | Orals | SM6.5

Joint reconstruction of icequake source mechanisms and 3D glacier structure from dense seismic array data 

Arthur Grange, Romain Brossier, and Ludovic Métivier

Glacio-seismology, which investigates the dynamics and processes of the cryosphere using seismic observations and methods, has strongly grown in interest over the past two decades in the context of global warming. To study the Argentière Glacier (French Alps), a dense array of 98 3-component seismic sensors was deployed in spring 2018 for 35 days. This period coincided with a temperature increase, which enhances the glacier’s seismic activity. The recordings bear the imprint of several thousand icequakes associated with ice-fracturing phenomena such as crevassing. We build a catalog of icequakes and their location using Matched Field Processing (MFP), which is a beamforming based approach.

Then, we jointly reconstruct icequake source mechanisms and the 3D glacier structure by exploiting the full waveform of the recorded 3-component data. The reconstruction relies on elastic wave modelling through numerical solution of the 3D elastodynamic equations using the Spectral Element Method (SEM). Accounting for the glacier surface topography is essential in order to correctly model surface waves, which mainly dominate the icequake data. We apply an alternating optimisation strategy that iterates between two sub-problems: estimating source mechanisms and updating glacier model parameters. The estimation of an icequake mechanism is formulated as the solution of a bi-quadratic minimisation problem depending on the moment tensor and the source wavelet. The model-parameter update is based on the application of a classical elastic Full Waveform Inversion (FWI).

This joint inversion strategy is applied to a set of selected icequakes with a high signal-to-noise ratio. We are able to reconstruct average model heterogeneities that align with the orientation of surface crevasses in several areas of the glacier. Some heterogeneities are reconstructed down to 100 m below the surface, enabling us to estimate the depth of crevasse fields surrounding the sensor network. Finally, we note a clear improvement in the reconstruction of the SH-wave in the updated model compared to what is obtained in a homogeneous medium. In the homogeneous approximation, the Rayleigh wave is reconstructed accurately, whereas the SH-wave is less well recovered. This improvement suggests that the SH-wave is strongly impacted by surface heterogeneities, more than the Rayleigh wave, and mainly drives the reconstruction of the structure. The estimated icequake source mechanisms do not appear to change significantly between the homogeneous model and the updated model obtained during the alternating strategy. This suggests a relative decoupling between source parameters and model parameters in the joint reconstruction problem, mediated by the Rayleigh and SH- waves. Such a decoupling is generally not observed in classical seismology, and therefore seems to be rather specific to the glacial context.

How to cite: Grange, A., Brossier, R., and Métivier, L.: Joint reconstruction of icequake source mechanisms and 3D glacier structure from dense seismic array data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7411, https://doi.org/10.5194/egusphere-egu26-7411, 2026.

EGU26-7503 | ECS | Posters on site | SM6.5

Geophysical Monitoring of Environmentally Induced Changes in Dams, Embankments, Landslides, and Their Subsurface: Repeated Multi-Method Surveys 

Eslam Roshdy, Mariusz Majdanski, Szymon Oryński, Artur Marciniak, Sebastian Kowalczyk, Radosław Mieszkowski, Tomisław Gołebiowski, Zygmunt Trześniowski, Sebastian Długosz, Bartosz Bednarz, and Paweł Popielski

This presentation summarizes a project focused on the seismic imaging and time-lapse monitoring of dams, embankments, and landslides using seismic and complementary geophysical methods. These structures are particularly sensitive to environmentally induced changes, such as variations in water saturation driven by climate variability and human activity, which can significantly affect their stability and long-term performance.

This study presents the results of repeated geophysical surveys conducted in 2023 and 2024 to investigate seepage and under-seepage processes in critical infrastructure related to the Rybnik water reservoir in southern Poland. To analyse the state of the embankment and dam, we used a combination of seismic, CCR, and ERT methods, supported by observations with a DAS system and an innovative Spectral GPR. Using repeated surveys, we were able to image not only spatial inhomogeneities but also changes in the structure related to different water tables and water saturation in the studied Earth-filled objects. Moreover, between the two surveys, maintenance works were performed to limit excessive seepage in the embankment. This action reduced seepage by 30%, but geophysical data enabled a spatial evaluation of the works and identified areas that require future monitoring.

Besides standard analysis in the form of ERT and seismic tomography, we utilised high-resolution seismic data recorded at a 2 m horizontal spacing for reflection imaging. This allowed us to recognise geological structures below man-made structures and the effects of the old river bed located beneath the construction. An additional 3C geophone was used for the seismic survey, allowing for precise analysis of P and S waves. This resulted in Vp/Vs analysis of the objects. Moreover, the combination of P and S wave reflection images provides insight into detailed structures that cannot be recognised with standard methods.

Finally, we utilised the DAS system to further increase the spatial resolution of the seismic data. A comparison of DAS and horizontal geophone data shows that DAS provides long-term monitoring capabilities, essential for ongoing structural health assessments and geohazard detection. For example, the multichannel analysis of surface waves (MASW) using DAS data clearly identifies S-wave velocities down to 13 m with an RMS error of 3.26%, compared to an RMS error of 6.2% for geophone data.

In addition, seismic tomography was applied to the Cisiec landslide (Żywiec district, southern Poland), where time-lapse velocity models are used to track hydrologically driven changes in subsurface properties associated with slope instability.

This research was funded by National Science Centre, Poland (NCN) project number 2022/45/B/ST10/00658.

How to cite: Roshdy, E., Majdanski, M., Oryński, S., Marciniak, A., Kowalczyk, S., Mieszkowski, R., Gołebiowski, T., Trześniowski, Z., Długosz, S., Bednarz, B., and Popielski, P.: Geophysical Monitoring of Environmentally Induced Changes in Dams, Embankments, Landslides, and Their Subsurface: Repeated Multi-Method Surveys, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7503, https://doi.org/10.5194/egusphere-egu26-7503, 2026.

EGU26-7561 | ECS | Orals | SM6.5

Probabilistic modelling and mapping with electromagnetic data using pre-computed geological look-up tables as prior information 

Jesper Nørgaard, Thomas Mejer Hansen, Rasmus Bødker Madsen, Ingelise Møller, and Anne-Sophie Høyer and the INTEGRATE working group

Deterministic inversion of electromagnetic (EM) data yields a single best fitting resistivity model of the subsurface, which can be used to interpret the geological subsurface. Such a model fails to capture the uncertainty in both resistivity and geology. This limitation is critical, as multiple, geologically dissimilar subsurface configurations can yield equivalent EM responses, meaning a single model representation can be inaccurate or even misleading. Probabilistic inversion of the EM data provides a principled solution by characterizing the range of subsurface models consistent with data, and thereby explicitly quantifying uncertainty in both the geophysical and geological models.

Here we invert by rejection sampling of pre-computed geophysical and geological 1D prior models. This allows for fast and efficient probabilistic inversion of large-scale EM surveys containing thousands of soundings. An added benefit of using pre-computed geological models is the possibility to encode geological expert knowledge into the models as direct information. In this context expert knowledge can be many things, for example the resistivity-lithology relationship, the chronological sequence of geological units, or the relative occurrence of various lithologies to name a few.

In the presentation, we demonstrate how such a probabilistic inversion workflow can be set up and applied on towed transient EM data from geophysical surveys in varying geological settings. The required inputs are (i) a geophysical dataset consisting of EM soundings, and (ii) an expert-based assessment of the plausible geological subsurface architectures in the survey area. Optionally, geophysical and lithological well logging can be used to further constrain the inversion. We will highlight the tool/software (GeoPrior1D) we have developed to construct prior ensembles with encoded geological knowledge, especially suited for such a workflow. GeoPrior1D is an open-source tool for generating ensembles of one-dimensional geological and geophysical models that explicitly represent prior models for probabilistic inversion problems.

Finally, we present key outcomes of the probabilistic modelling. This includes resistivity models with uncertainty, lithological models with uncertainty (entropy), class probabilities, and various themed maps. The produced models and maps, always accompanied by rigorously quantified uncertainties, enable better and more reliable decision-making across applications such as geohazard risk assessment, resource volume estimates, groundwater modelling, and much more.

How to cite: Nørgaard, J., Hansen, T. M., Madsen, R. B., Møller, I., and Høyer, A.-S. and the INTEGRATE working group: Probabilistic modelling and mapping with electromagnetic data using pre-computed geological look-up tables as prior information, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7561, https://doi.org/10.5194/egusphere-egu26-7561, 2026.

Urbanization-driven demand for high-resolution near-surface imaging and monitoring has promoted the application of distributed acoustic sensing (DAS) technology. However, DAS-based surface-wave velocity imaging faces challenges from low signal-to-noise ratios, strong lateral heterogeneity, and scale-dependent surface-wave sensitivity. To address these issues, we propose a multi-scale surface-wave inversion framework tailored for DAS observations, which inverts multi-scale and multi-mode sub-array dispersion curves simultaneously for the two-dimensional (2D) shear-wave velocity model. The method integrates three core technical components: multi-scale overlapping sub-array selection, frequency-Bessel (F-J) transform-based dispersion extraction (enabling reliable capture of both fundamental and higher-mode surface-wave energy), and a Poisson-Voronoi (PV) tessellation inversion strategy for dimensionality reduction. By integrating dispersion information across multiple frequency bands and multiple modes via multi-scale sub-arrays, the framework achieves complementary sensitivity to shallow and deeper subsurface structures. The PV tessellation stabilizes the inversion and avoids artificial lateral velocity variations inherent in conventional 1D inversion approaches. Synthetic tests confirm the method’s ability to reliably recover low- and high-velocity anomalies with improved lateral continuity and depth resolution. Application to urban DAS ambient noise data from Hefei, China, yields a geologically plausible 2D shear-wave velocity model. This study provides a robust methodological foundation for high-resolution near-surface imaging in complex urban environments using DAS technology.

How to cite: Zou, H. and Yao, H.: A Multi-Scale Poisson-Voronoi Inversion Framework with Joint Multi-Mode Surface Wave Dispersion for DAS-Based Near-Surface Imaging, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7597, https://doi.org/10.5194/egusphere-egu26-7597, 2026.

EGU26-7868 | ECS | Posters on site | SM6.5

Single-Station Six-Component Horizontal-to-Vertical Spectral Ratio Method for Subsurface Structure Inversion 

Zhengyu Huang, Ziqi Zhou, Yanjun Chen, and Zhengbin Li

In seismic exploration, subsurface structures are commonly investigated using dense sensor arrays. While effective, array-based observations require a large number of sensors, resulting in complex field deployment. Single-station seismic methods offer an attractive alternative by leveraging constraints among different seismic components at a single site. Nevertheless, existing single-station seismic methods do not fully utilize the complete six-component information provided by seismometers, and the extraction of dispersion curves is affected by instrument response, which limits the accuracy of single-station methods.

 

To overcome these limitations, we propose a single-station six-component Horizontal-to-Vertical Spectral Ratio method (6-C HVSR). This method considers both translational HVSR and rotational HVSR, enabling it to eliminate curve distortion caused by instrument response. The proposed 6-C HVSR forward model can be directly constructed using existing surface-wave forward modeling frameworks, enabling subsurface structure inversion without introducing additional assumptions. Unlike traditional HVSR methods, the 6-C HVSR applicable to subsurface structure inversion has a clearer physical meaning.

 

By integrating both translational and rotational HVSR, the proposed method fully utilizes all six-component data and improves constraints on subsurface structures under single-station conditions. Moreover, it reduces requirements for measurement instruments and enables further improvements in measurement accuracy. Borehole comparison experiments demonstrate that the method can estimate subsurface structures using single-station observations.

How to cite: Huang, Z., Zhou, Z., Chen, Y., and Li, Z.: Single-Station Six-Component Horizontal-to-Vertical Spectral Ratio Method for Subsurface Structure Inversion, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7868, https://doi.org/10.5194/egusphere-egu26-7868, 2026.

EGU26-9161 | ECS | Orals | SM6.5

From 1D Independence to 3D Coherence: Geostatistical Simulation of Probabilistic TEM Inversions 

Signe Nielsen, Rasmus Bødker Madsen, Anders Damsgaard, Thomas Mejer Hansen, Anker Lajer Højberg, Christopher Vincent Henri, Birgitte Hansen, Hyojin Kim, Jesper Nørgaard, and Ingelise Møller

Groundwater modelling relies on three-dimensional (3D) geological models as structural input to predict subsurface processes such as groundwater flow and contaminant transport. However, model uncertainty in the geological domain, originating from sparse data coverage and the inherent non-uniqueness of geophysical inverse problems, propagates into hydrological predictions and affects the model outcome. Accounting for this uncertainty is therefore essential. This requires methods that not only characterize the subsurface but also quantify and propagate uncertainty through the entire modelling workflow.

Probabilistic inversion of transient electromagnetic (TEM) data addresses the non-uniqueness of the inverse problem by yielding posterior samples containing hundreds of plausible one-dimensional (1D) models at each measurement location. This captures the range of subsurface structures consistent with the geophysical data and enables quantitative assessment of subsurface uncertainty. However, a critical challenge emerges: How do we transform these independent 1D posterior models into spatially coherent 3D subsurface realizations that preserve geological continuity? A simple approach would be to use the mode model, showing the most probable values. However, the mode is merely a statistical summary of the posterior, not an actual sample from it, and does not capture the uncertainty in the subsurface structure either. Alternatively, randomly selecting one posterior model at each location would result in geologically implausible 3D realizations due to lacking spatial structure and lateral correlation. Generating multiple internally consistent realizations is essential to capture the full range of plausible subsurface scenarios and quantify uncertainty. Yet, no standard algorithm currently exists to generate 3D realizations that both sample the posterior distribution and ensure geological continuity.

Existing geostatistical simulation methods are not well suited for this task. Gaussian-based approaches (e.g., sequential indicator simulation) cannot fully exploit the non-Gaussian posterior distributions from probabilistic inversion. Multiple-point statistical methods require training images that are difficult to obtain and may conflict with the prior information used in the inversion.

Here, we present a novel geostatistical simulation algorithm that generates spatially coherent 3D subsurface realizations directly from independent 1D posterior models. The algorithm directly combines 1D posterior realizations at data locations with 1D prior realizations elsewhere, using spatial correlation to generate coherent 3D structures without Gaussian assumptions or training images. We demonstrate the method using a TEM dataset, showing that the resulting realizations reproduce realistic spatial geological patterns and variability consistent with the underlying posterior information. The algorithm is computationally efficient, enabling generation of multiple realizations that in combination quantify subsurface uncertainty and provide a direct basis for propagating geological uncertainty into hydrological flow and transport simulations.

How to cite: Nielsen, S., Bødker Madsen, R., Damsgaard, A., Mejer Hansen, T., Lajer Højberg, A., Vincent Henri, C., Hansen, B., Kim, H., Nørgaard, J., and Møller, I.: From 1D Independence to 3D Coherence: Geostatistical Simulation of Probabilistic TEM Inversions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9161, https://doi.org/10.5194/egusphere-egu26-9161, 2026.

The hydrogeological setting of the Belgian coastal area near De Panne is characterized by the presence of an upper saline plume within the subterranean estuary. This salinity distribution can be imaged using Electrical Resistivity Tomography (ERT), where the saline plume manifests as a zone of low electrical resistivity. However, a similar low-resistivity response may also arise from specific geological formations, such as clay layers. Therefore, lithological investigations are required to distinguish between low resistivity caused by saline groundwater and by geological heterogeneity, which strongly influences groundwater distribution.

Cone penetration tests (CPT), a direct-push method, are employed to characterize subsurface soil properties. In addition, CPT-based resistivity measurements (CPT-R) are used to discriminate between low-resistivity zones associated with lithology and those related to groundwater salinity. To improve ERT inversion results, CPT-R data are incorporated in several ways: as geostatistical constraints (using correlation lengths derived from geostatistical analysis), through joint inversion, and/or as reference models. This study therefore investigates how these different inversion setups influence the ERT inversion results, with a particular focus on the associated uncertainty.

An ensemble deterministic ERT inversion approach is adopted to assess the inversion uncertainty. Key inversion parameters are randomly varied across 100 realizations, which are subsequently combined into a single ensemble. In total, 12 ensembles are generated, representing different inversion strategies and each using the same set of randomly sampled parameters. These parameters include the regularization strategy (constant or optimized), the type of constraint (smoothness or geostatistical), the inversion approach (ERT-only or joint inversion), and the reference model (none, homogeneous, or heterogeneous). Heterogeneous reference models are constructed using sequential Gaussian simulations based on CPT-R data.

By comparing multiple inversion strategies and integrating CPT-R data within an ensemble framework, the uncertainty associated with resistivity models is systematically assessed. This study highlights how choices in ERT inversion setup directly influence model uncertainty, particularly when heterogeneity is neglected, leading to a strong underestimation of uncertainty.

How to cite: Vrancken, E., Paepen, M., and Hermans, T.: A deterministic ensemble inversion framework to assess the uncertainty of electrical resistivity tomography combined with cone penetration tests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9419, https://doi.org/10.5194/egusphere-egu26-9419, 2026.

EGU26-9460 | ECS | Orals | SM6.5

The influence of the Electrodes-Spacing-to-Diameter-Ratio (ES2DR) on ERT measurements: an operational approach 

Agnese Innocenti, Gabriele Patrizi, Lorenzo Ciani, and Veronica Pazzi

Electrical Resistivity Tomography (ERT) is widely used in archaeo-geophysics due to its capability to non-invasively detect buried structures and stratigraphic heterogeneities. However, when ERT is applied to shallow, small-scale archaeological targets requiring high spatial resolution, the finite geometry of electrodes and the reduced inter electrodes distance can introduce systematic errors that may be misinterpreted as cultural features. This study investigates the impact of the electrode spacing to diameter ratio (a/φ) on apparent resistivity measurements, with particular attention to conditions typical of archaeological prospection, where electrode spacing is often limited by site constraints and preservation requirements. Six electrode types with diameters ranging from 4 to 16 mm were tested using dipole–dipole and pole–dipole arrays at four electrode spacings (10, 30, 50, and 100 cm), generating 48 ERT datasets acquired over a mainly homogeneous test area, characterised by the presence of a higher resistive target. The analysis focused on apparent resistivity values to avoid uncertainties introduced by inversion procedures.

Results demonstrate that electrode material does not significantly influence resistivity measurements; instead, geometric factors dominate.  In particular, when a/φ il lower than 25 (φ/a ≥ 4%), corresponding to dense electrode setups frequently used in archaeological ERT, apparent resistivity is strongly affected, particularly at shallow depths and in the presence of resistive anomalies (e.g., conditions typical of buildings, voids, pavements, foundation remains, or anthropogenic stratigraphy). When a/φ is higher than 31.5 (φ/a ≤ 3.2%), electrode diameter has negligible impact, confirming that standard ERT configurations at meter-scale spacing are generally robust. Increased variability and systematic deviations were observed up to approximately three times the electrode spacing, potentially generating artificial resistive highs that could be erroneously interpreted as archaeological features. Intermediate spacing values (30–50 cm) show transitional behaviour, with distortions decreasing progressively with depth.

The study provides an operational framework for archaeo-geophysical practice: (1) electrode diameter becomes critical when small electrode spacing is required; (2) reliable shallow imaging in archaeological contexts demands maintaining sufficiently high a/φ ratios or explicitly modelling electrode geometry; and (3) resistive archaeological targets are most susceptible to artifact generation under inadequate a/φ conditions. These findings support improved survey design, more reliable interpretation of near-surface ERT data, and reduced risk of false positives in cultural heritage investigations.

How to cite: Innocenti, A., Patrizi, G., Ciani, L., and Pazzi, V.: The influence of the Electrodes-Spacing-to-Diameter-Ratio (ES2DR) on ERT measurements: an operational approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9460, https://doi.org/10.5194/egusphere-egu26-9460, 2026.

EGU26-10191 | Posters on site | SM6.5

Improved electrical resistivity tomography reveals near-surface structures beneath fumaroles at Tatun Volcano Group, Taiwan 

Hong-Jia Chen, Chien-Chih Chen, Guo-Teng Hong, and Wan-Chung Lu

The Tatun Volcano Group (TVG) in northern Taiwan is a potentially active volcanic system situated in close proximity to the Taipei metropolitan area and critical global infrastructure, including major semiconductor manufacturing facilities. While previous geophysical investigations have successfully delineated the TVG’s hydrothermal and magmatic reservoirs at the kilometer scale, a significant resolution gap remains regarding the near-surface (meters to hundreds of meters) structures that govern fluid migration and fumarolic activity. This study implements an improved Electrical Resistivity Tomography (ERT) approach to characterize the fine-scale subsurface architecture beneath three prominent hydrothermal sites: Dayoukeng, Matsao, and Xiaoyoukeng.

To overcome the limitations of conventional ERT in rugged volcanic terrains, we utilized a Remote Resistivity Monitoring System (R2MS) equipped with a nontraditional hybrid electrode array and dense electrode spacings of less than 10 meters. A robust bootstrapping resampling workflow was developed to process massive datasets (approximately 180,000 points per line), allowing for the generation of median resistivity profiles and the quantification of model uncertainty through the Quartile Coefficient of Variation (QCV). This statistical framework ensures that identified anomalies are data-constrained rather than inversion artifacts.

Our results reveal distinct electrical signatures associated with varying degrees of hydrothermal maturation. Beneath Dayoukeng, we identified a prominent arch-shaped low-resistivity structure (1 to 10 Ohm-m), featuring a vertical active fluid conduit that facilitates the ascent of magmatic gases. In contrast, the Matsao area exhibits more scattered and diffuse low-resistivity anomalies (2 to 10 Ohm-m), suggesting a less advanced or currently less vigorous hydrothermal pathway compared to Dayoukeng. The Xiaoyoukeng profiles demonstrate a stratified resistivity structure, where high-resistivity shallow layers (300 to 2000 Ohm-m) overlie deeper low-resistivity zones (10 to 30 Ohm-m), showing strong correlation with lithological data from Borehole W1.

A critical scientific finding is the recurring "low-over-high" resistivity pattern observed in the vicinity of active vent holes. This signature, characterized by extremely conductive altered zones overlying more competent andesitic bedrock, provides a diagnostic geoelectrical indicator for identifying subsurface gas migration pathways. Furthermore, the study identifies "immature" conduits beneath certain profiles where fluids appear trapped under impermeable rock layers, potentially increasing internal pressure.

In conclusion, this research provides a high-resolution visualization of the TVG’s shallow plumbing system, offering new insights into the spatial heterogeneity of volcanic degassing. The integration of automated R2MS acquisition with statistical uncertainty quantification establishes a reliable framework for long-term volcanic monitoring. These findings are essential for refining risk assessments and enhancing disaster preparedness for future phreatic eruptions in northern Taiwan.

How to cite: Chen, H.-J., Chen, C.-C., Hong, G.-T., and Lu, W.-C.: Improved electrical resistivity tomography reveals near-surface structures beneath fumaroles at Tatun Volcano Group, Taiwan, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10191, https://doi.org/10.5194/egusphere-egu26-10191, 2026.

EGU26-11031 | ECS | Posters on site | SM6.5

From apparent to real moisture index in masonry through inversion of microwave data: a first attempt 

Mohammadreza Yousefi, Agnese Innocenti, Emanuele Marchetti, Riccardo Fanti, and Veronica Pazzi

Nowadays, the preservation of cultural heritage has become a matter of debate, as numerous factors contribute to its deterioration. In this case, water plays a key role, as it can cause significant damage to construction materials over time. Direct measurements of water content (WC) are not feasible in cultural heritage buildings because they are destructive. Therefore, it is essential to apply methods which are non-destructive and also highly sensitive to the presence of water.

Microwave-based moisture instruments utilize the transmission or reflection microwaves (i.e., electromagnetic waves in the frequency range: 0.3-300 GHz) to evaluate WC within materials. However, a major limitation of WC microwave measurements is that they provide cumulative moisture values that integrate the contribution of all material layers from the surface up to the probe’s penetration depth. As a result, previous studies have only relied on displaying cumulative moisture maps instead of the true ones.

This work addresses this limitation by a simple least squares (LS) inversion approach based on an average weighted function, since no information about the actual weighting function implemented in the device is available. The forward model was assumed that the cumulative measurement at each penetration depth is of a weighted linear combination of moisture contributions from successive layers. Then, the LS solution was computed through the Moore-Penrose pseudoinverse to lead to the real WC at discrete depths without physical sampling.

The method was applied to a real dataset acquired at the Certosa del Galluzzo (Florence, Italy), a 14th-century historical complex affected by moisture deterioration. The instrument used in this study was the Moist 350B sensor, designed by HF sensor GmbH (Leipzig, Germany). The device utilizes the transmission and reflection of electromagnetic waves in the range of microwave (approximately 2.45 GHz) to evaluate the WC within materials by measuring their dielectric permittivity. It is equipped with five interchangeable probes, which are used for detecting WC at different penetration depths: 3 cm, 7 cm, 11 cm, 30 cm, and 80 cm.

First, the interest zones were identified by infrared thermography (IRT). Subsequently, the microwave sensor with all probes was applied to acquire cumulative data in these areas. Finally, synthetic Gaussian noise with a standard deviation of 1.5% (on the basis of the manual) was added to the dataset to simulate realistic measurement uncertainty prior to the inversion.

The inverted data for the superficial layer (at 3 cm) reveal good agreement with the IRT results, whether the area is wet or dry. In addition, the results indicate that when a layer is highly saturated, the layer below will be significantly affected so that its moisture amount is lower compared to the acquired data. In fact, the presentation of raw data, especially in a highly saturated layer, causes the layer below to be considered overestimated compared to the real values. In summary, the proposed approach can effectively reconstruct the real distribution without any physical sampling.

How to cite: Yousefi, M., Innocenti, A., Marchetti, E., Fanti, R., and Pazzi, V.: From apparent to real moisture index in masonry through inversion of microwave data: a first attempt, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11031, https://doi.org/10.5194/egusphere-egu26-11031, 2026.

EGU26-11326 | ECS | Posters on site | SM6.5

Vertical seismic profiling using distributed acoustic sensing in Weisweiler, Germany 

Marco Dietl, Claudia Finger, Thomas Reinsch, Stefan Hohage, Oliver Ritzmann, and Thomas Oswald

The Weisweiler region in North Rhine-Westphalia, Germany, offers promising potential for geothermal energy use. The respective geology in the Carboniferous and Devonian is rather unexplored, so seismological and geological exploration of the region was started recently. To create a shallow seismic velocity profile with high depth resolution that can serve as a basis for further research, we used a fiber optic cable in a 500 m deep exploration well in the center of the area to perform a vertical seismic profiling (VSP) campaign.

A VSP campaign with four dropped weight shot points was carried out in which we recorded the deformation along the cable caused by the seismic waves with a distributed acoustic sensing (DAS) interrogator. With a spatial resolution of approximately 0.8 m along the cable, we were able to resolve a total of 618 depth-averaged measurement points over the 500 m borehole depth. The gauge length was set to 10 m.

Interval velocity profiles were determined by manually detecting wave arrivals. P wave velocities were compared to sonic log velocities. In some depth sections, shear wave arrivals could be identified and shear wave velocity profiles and vP/vS ratios could be derived.

We show the measurement setup and processing steps, as well as the processed data, and present the resulting velocity profiles in comparison to previously available data sets of the region. Here, the measurement methodology also reveals its limitations, as the strain per measurement point in DAS is measured over a depth range of one gauge length, which limits the depth resolution. Nevertheless, the results correspond very well with previously known geological models and also coincide with the sonic log, while supplementing previous findings with a S wave velocity profile and a vP/vS ratio.

How to cite: Dietl, M., Finger, C., Reinsch, T., Hohage, S., Ritzmann, O., and Oswald, T.: Vertical seismic profiling using distributed acoustic sensing in Weisweiler, Germany, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11326, https://doi.org/10.5194/egusphere-egu26-11326, 2026.

EGU26-11601 | ECS | Posters on site | SM6.5

Source-less marine seismic imaging using vessel noise: a feasibility study in the Port of Trieste, north east Italy 

Alice Affatati, Luca Baradello, Fabio Meneghini, Martina Busetti, and Jonathan Ford

Marine seismic reflection experiments typically use a towed streamer and impulsive acoustic sources (such as airguns, sparkers or boomers) to image sub-seafloor acoustic reflectivity. These sources emit high amplitude, short period signals designed to achieve good resolution and penetration. This causes correspondingly high Peak Sound Levels that can in some cases adversely affect marine fauna and contribute to background ocean noise. In recent years this has led to increasing environmental restrictions on seismic surveying, in addition to the existing operational complexity and cost of using active sources. 

We propose an alternative method, suited for shallow sub-seafloor characterisation, that uses the broadband noise generated by the acquisition vessel as the seismic source – eliminating the need for a dedicated active source. We use multichannel streamer recordings to estimate the vessel-generated acoustic wavefield, and cross-correlate this with the raw continuous recordings to produce virtual common shot gathers that are regularly sampled in space, compatible with conventional seismic imaging workflows. Here we present preliminary results of the SLIPSTREAM project, a pilot study conducted in September 2025 in the Port of Trieste, north east Italy, in shallow water (<20 m) using a multi-channel streamer (24 hydrophones spaced at 1 m). The project aimed to assess the feasibility of the source-less approach for research-scale, high-resolution 2-D seismic acquisition. We do this by assessing the quality of geophysical imaging and quantifying the reduction in impact to specific marine fauna that are common in the area, compared to a conventional active source “Boomer” acquisition. We demonstrate that the source-less data is able to image the boundaries and internal structure of several different shallow geological units, with a maximum penetration of around 40 m below the seafloor.

Future experiments will focus on improving the resolution and depth of investigation by controlling the vessel speed, as well as exploring the application of this method with larger vessels in deeper water. The overall goal is to acquire seismic images with sufficient quality for geological interpretation in locations where active sources may be restricted for environmental reasons.

How to cite: Affatati, A., Baradello, L., Meneghini, F., Busetti, M., and Ford, J.: Source-less marine seismic imaging using vessel noise: a feasibility study in the Port of Trieste, north east Italy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11601, https://doi.org/10.5194/egusphere-egu26-11601, 2026.

The subsurface is complex and heterogeneous, making its investigation very challenging. In this context, geophysical imaging methods can provide new insights on the spatial distribution of Earth physical properties. However, the imaging capacity of geophysical methods is limited by their indirect nature and the non-unicity of the solution of the inverse problem. In other words, the interpretation of geophysical data sets remains limited by their intrinsic uncertainty. On the one hand, deterministic methods fail to properly account for uncertainty. On the other hands, probabilistic approaches allowing uncertainty quantification, such as Markov chain Monte Carlo (McMC) methods, are both time-consuming and difficult to tune to convergence in complex subsurface systems with many parameters. Some alternatives, such as Bayesian Evidential Learning (BEL), providing an approximation of the posterior distribution have been proposed. BEL learns a statistical relationship between data and model parameters from a training set sampled from the prior distribution. This prevents the use of forward models during the prediction of the posterior distribution. The applications of probabilistic approaches to geophysical imaging often supposes simplifications in the distribution of model parameters to reduce the number of parameters.

In this contribution, we acknowledge that geophysical imaging is often not the objective of geophysical data acquisition. Geologists are often more interested in some specific features such as the depth of the bedrock, the location and geometry of a fault, or the spatial variability of the fresh-saltwater interface. We therefore define the prior distribution of model parameters in a hierarchical way, where the feature of interest is defined first with hyperparameters, explicitly included during posterior inference. This approach allows to decouple the imaging process from any pre-defined inversion grid. We use BEL to calculate the posterior distribution. To deal with the strong non-linearity of the data-model relationship, we use a mixture-density network with two hidden layers allowing to estimate the posterior distribution of model parameters.

We demonstrate the approach on a synthetic electrical resistivity tomography (ERT) example in a saline context. The fresh-saltwater interface is characterized using a third degree polynomial (4 parameters) separating a saltwater aquifer from an overlying freshwater lens, both with uncertain electrical resistivity. 10000 models are sampled from the prior distribution to train the BEL-MDN model between the ERT pseudo-section and the model parameters. PyGimLi is used to solve the ERT forward problem. During MDN training, the first epochs use noise free data; noisy data are only introduced later in the training process, allowing to maximize learning efficiency. Comparison with McMC shows that BEL-MDN is successful in identifying the depth and shape of the interface at a fraction of the cost of McMC. However, BEL-MDN tends to overestimate the uncertainty when the interface lies at shallow depth, which requires further research. The method holds great potential to image specific (hydro-)geological features, especially for complex cases where McMC are too computationally expensive.   

How to cite: Hermans, T. and Mejer Hansen, T.: Fast stochastic inversion of geological interfaces from geophysical data using Bayesian Evidential Learning with Mixture Density Network, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11676, https://doi.org/10.5194/egusphere-egu26-11676, 2026.

EGU26-11780 | Orals | SM6.5

Geophysical imaging of a groundwater-dependent pond system: a combined electrical resistivity and seismic refraction tomography approach in the South-Albera Massif (Eastern Pyrenees, Spain) 

Joana Mencos, Mario Zarroca, Carles Roqué, Maria Casamitjana, Eduard Madaula, Gisela Gonzalvo, and Anna Menció

Ponds are small water bodies that play a crucial role in biodiversity conservation and act as key elements of blue landscape connectivity. Under increasing climate pressures, groundwater-dependent ponds can serve as ecological shelters for wildlife, livestock, and agriculture. Understanding their origin and hydrodynamics is essential for improving their management and protection strategies.

This study focuses on an aquifer–pond system located on the granite pediment of the South Albera Massif (Eastern Pyrenees, NE Spain), where a clustered network of weathering basins has developed, some of them hypogenic in origin. The bedrock of the pond system is formed by the Palaeozoic basement of the Pyrenees Range: metasedimentary schists, orthogneisses, and plutonic granodiorites and tonalites, as well as leucogranite dikes. The structure of the area is dominated by the presence of NW-SE trending shear zones, dipping NE 50° to 70°.

Here, we propose a multidisciplinary approach coupling hydrogeological, geomorphological, edaphological and ecological techniques, together with near-surface geophysics, for the characterisation of the pond system, aiming at advancing knowledge on such groundwater-dependent ecosystems and their resilience under climate change scenario.

We applied Electrical Resistivity Tomography (ERT) to characterize the geo-electrical structure beneath temporary ponds and associated depressions, while Seismic Refraction Tomography (SRT) served to decipher the seismic velocity distribution in the subsurface. Independent and structurally coupled joint inversions were performed and compared to analyse the best data treatment method for detecting bedrock structure and the geometry of the pond sediments. The combination of these techniques has led to the 3D reconstruction of the subsurface pond features integrating surface and subsurface data, providing insights on its geomorphological origin and hydrodynamics. Data interpretation, inversion and geomodelling is based on opensource python-based programs and libraries such Refrapy, pyGIMLI and Gempy.

How to cite: Mencos, J., Zarroca, M., Roqué, C., Casamitjana, M., Madaula, E., Gonzalvo, G., and Menció, A.: Geophysical imaging of a groundwater-dependent pond system: a combined electrical resistivity and seismic refraction tomography approach in the South-Albera Massif (Eastern Pyrenees, Spain), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11780, https://doi.org/10.5194/egusphere-egu26-11780, 2026.

EGU26-12921 | ECS | Posters on site | SM6.5

Using sensitivity kernels in realistic borehole conditions for informing ahead-of-the-bit prediction of hard stringers 

Saygin Ileri, Ridvan Orsvuran, Alexey Pavlov, and Sigbjørn Sangesland

Drilling operations can unexpectedly encounter hard stringers-thin, high-strength inclusions/rock layers in a softer background-which cause drilling problems including stick-slip vibrations, near-bit inclination changes, and severe damage to drill-bit and bottomhole assembly (BHA), all leading to inefficient and costly drilling. Early detection of hard stringers allows drilling personnel to adjust parameters proactively, enhancing operational stability. In this study, we propose a methodology referred to as ahead-of-the-bit prediction (ABP) using drill-bit-generated noise as a seismic source and BHA-mounted sensors for cross-correlation analysis of recorded signals. We compute sensitivity kernels in a realistic borehole environment to identify the contributions from direct arrivals, stringer reflections, mud-induced guided waves, and to better understand the physics of the elastic wavefield. The results from this work will enable further development of our methodology for real-time early detection of hard stringers during drilling.

How to cite: Ileri, S., Orsvuran, R., Pavlov, A., and Sangesland, S.: Using sensitivity kernels in realistic borehole conditions for informing ahead-of-the-bit prediction of hard stringers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12921, https://doi.org/10.5194/egusphere-egu26-12921, 2026.

EGU26-13360 | ECS | Orals | SM6.5

Investigating Landslide Behaviour Under Varying Environmental Pressure: A Multi‑Method Geophysical Approach 

Artur Marciniak, Szymon Oryński, Sebastian Kowalczyk, Adrian Flores-Orozco, Lukas Aigner, Andrzej Górszczyk, Wojciech Gajek, Sebastian Uhlemann, Justyna Cader-Marciniak, Eslam Roshdy, Emilia Karamuz, Adam Nawrot, and Mariusz Majdański

The long-term stability and reactivation potential of large landslides are primarily controlled by their deep internal structure, the geometry and connectivity of shear planes, fault systems, and subsurface hydraulic pathways. Despite their importance, these features remain difficult to investigate, and geophysical methodologies capable of resolving those at sufficient resolution and depth are still not fully established. This study addresses this challenge through a comprehensive, multi-method geophysical investigation of the Cisiec landslide, located in the Żywiec district of southern Poland.

The study area comprises a forested clearing surrounded by meadow terrain, with the landslide moving predominantly east–northeast and exhibiting an elevation difference of approximately 100 m between its crown and toe. Annual monitoring campaigns, including drone-based photogrammetry and laser scanning, as well as geophysical measurements like seismic or resistivity tomography, conducted between 2018 and 2022, provided valuable insights into the general geometry and kinematics of the landslide. Still, process-understanding of the complex and non-linear landslide behaviour could not be fully obtained. These datasets allowed the construction of a preliminary structural models and indicated temporal variability in displacement patterns; however, the nature of movement along individual slip surfaces remained unresolved. In particular, it was unclear whether deformation occurred as a coherent, uniform displacement or as a progressive, sequential sliding process involving multiple layers or discrete blocks. Furthermore, the role of groundwater circulation within the landslide body and its influence on mechanical stability could not be conclusively determined.

To overcome these limitations, we conducted advanced geophysical surveys during dedicated field campaigns in October 2024 and April 2025. The investigation integrated high-resolution seismic imaging based on Distributed Acoustic Sensing (DAS) with Spectral Ground Penetrating Radar (SGPR) and a suite of electrical and electromagnetic methods, including Electrical Resistivity Tomography (ERT), Frequency Domain Electromagnetics (FDEM), Time Domain Electromagnetic (TDEM) soundings, and Spectral Induced Polarization (SIP). Each technique was carefully selected and optimized to resolve complementary aspects of the landslide architecture, ranging from shallow deformation features to deeper structural controls and subsurface hydraulic pathways.

The combined dataset provided a detailed, multi-scale image of the landslide, revealing significant spatial heterogeneity in both mechanical and hydrogeological properties. Seismic imaging resolved fine-scale structural and geomechanical variations, while electrical and electromagnetic methods highlighted zones of enhanced moisture content and groundwater flow. The results confirm a division of the landslide into three distinct kinematic zones and reveal previously unresolved shallow slip surfaces and groundwater-related effects. Notable observations include focused groundwater discharge at the lower slope and an anomalous signal attenuation zone near the crown, interpreted as evidence of microseismic activity and the development of a potential new failure zone. These findings demonstrate the value of integrated, high-resolution geophysical approaches for improving conceptual models of complex landslide systems and for supporting long-term hazard assessment.

How to cite: Marciniak, A., Oryński, S., Kowalczyk, S., Flores-Orozco, A., Aigner, L., Górszczyk, A., Gajek, W., Uhlemann, S., Cader-Marciniak, J., Roshdy, E., Karamuz, E., Nawrot, A., and Majdański, M.: Investigating Landslide Behaviour Under Varying Environmental Pressure: A Multi‑Method Geophysical Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13360, https://doi.org/10.5194/egusphere-egu26-13360, 2026.

EGU26-13946 | ECS | Orals | SM6.5

Time-Lapse Seismic Monitoring of a Railway Embankment Using Train-Induced Distributed Acoustic Sensing 

Muhammad Saqlain, Andrew Trafford, Shubham Shrivastava, Qasim Khan, and Shane Donohue

Aged railway embankments, constructed in the late 19th and early 20th centuries without modern engineering standards, are increasingly vulnerable to failure due to ageing, climate change, and rising transportation demands. Extreme weather events, particularly periods of prolonged wetting and drying, pose a significant risk to the structural resilience and serviceability of these earthworks. This study explores a novel passive monitoring framework at the Withy Bed site near London, UK, utilising Distributed Acoustic Sensing (DAS) to capture the long-term seismic response of a live railway embankment. By leveraging train-induced vibrations as a continuous ambient seismic source, we provide a non-invasive and high-resolution assessment of the slope's condition. The site is further equipped with a suite of geotechnical sensors, including volumetric water content (VWC) and suction sensors, to provide direct measurement of the embankment's internal state. We present time-lapse results derived from a 350m fibre-optic cable buried within the embankment, with processed data spanning every month of the year. The findings demonstrate a clear correlation between shear wave velocity (Vs) and geotechnical sensor data, specifically, Vs decreases during periods of high water content and low suction, reflecting a reduction in soil stiffness during wet seasons. Conversely, during dry periods, the data indicate a significant increase in Vs as the water content decreases and soil suction increases, resulting in a measurable rise in the overall stiffness of the embankment. The results show clear month-to-month changes in dispersion trends and Vs, with significant percentage decreases in Vs during wetter months and a progressive recovery of stiffness during drier periods. These temporal changes are spatially coherent along the embankment and repeatable across successive train events, demonstrating the robustness of the passive approach. The time-lapse analysis confirms that train-induced seismic waves provide sufficient energy and consistency to resolve seasonal variations in near-surface stiffness without repeated active surveys. This work demonstrates that passive DAS provides a practical, non-intrusive, and scalable solution for continuous monitoring of railway embankments, supporting the early identification of condition changes and enhancing infrastructure asset management.

How to cite: Saqlain, M., Trafford, A., Shrivastava, S., Khan, Q., and Donohue, S.: Time-Lapse Seismic Monitoring of a Railway Embankment Using Train-Induced Distributed Acoustic Sensing, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13946, https://doi.org/10.5194/egusphere-egu26-13946, 2026.

EGU26-14747 | Orals | SM6.5

3D magnetic susceptibility imaging using EMI in-phase data: selected 3D inversion examples using small- and large-scale data sets 

Julien Guillemoteau, Philippe De Smedt, Francois-Xavier Simon, Alex Vauthier, Jens Tronicke, and Bertrand Dousteyssier

Rigid boom frequency-domain electromagnetic induction (FD-EMI) sensors based on a double magnetic dipole (loop–loop) geometry allows to rapidly characterize subsurface electrical and magnetic properties. Recent advances in instrumentation (including multi-configuration and multi-channel systems), high-resolution kinematic acquisition strategies, and fast 3D inversion algorithms allows the reconstruction of 3D subsurface models of electrical and magnetic properties with unprecedented detail.

In this study, we evaluate the potential of FD-EMI in-phase data for high-resolution 3D reconstruction of magnetic susceptibility (or permeability) using the recently developed 3D multi-channel deconvolution (MCD) approach. We tested the 3D MCD method on multiple data sets acquired in diverse igneous environments and with different FD-EMI systems in the context of archaeological prospection. Compared to conventional qualitative interpretation of FD-EMI in-phase data maps, the 3D MCD method significantly enhances the interpretability of the data by (1) enabling clear separation of subsurface features at different depth levels, (2) significantly improving lateral resolution and (3) revealing archaeological structures that remain invisible in the original measurements. These results highlight MCD as a key processing step that unlocks the full imaging potential of FD-EMI in-phase data.

How to cite: Guillemoteau, J., De Smedt, P., Simon, F.-X., Vauthier, A., Tronicke, J., and Dousteyssier, B.: 3D magnetic susceptibility imaging using EMI in-phase data: selected 3D inversion examples using small- and large-scale data sets, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14747, https://doi.org/10.5194/egusphere-egu26-14747, 2026.

EGU26-15649 | ECS | Posters on site | SM6.5

Constraining Basal Conditions of the Greenland Ice Sheet Using Rayleigh-Wave Ellipticity From Ambient Seismic Noise Records 

Ci-Ru Cai, Wei-An Chao, Florent Gimbert, and Nicolas Paris

The physical conditions at the base of the Greenland Ice Sheet (GrIS) fundamentally dictate ice dynamics and its response to climate change. However, due to the limited spatial coverage of ice-penetrating radar surveys and borehole drilling observations, as well as the heavy reliance of thermo-mechanical ice-flow models on prescribed parameters, the shallow internal structure of the ice sheet and its basal environment remain insufficiently. Seismology provides an opportunity to constrain the depth of the ice–bedrock interface through the characterization of subsurface shear-wave velocity (Vs) structures.The study area is located northeast of Kangerlussuaq in Southwest Greenland. Previous studies show that long-term seismic velocity variations in this region are minimal, limiting the ability to infer basal frozen or thawed conditions from temporal changes alone. In addition, most investigations of the basal thermal state of the GrIS have focused on central and northern Greenland, leaving Southwest Greenland relatively under-explored. Although three-dimensional thermomechanical ice-flow models consistently predict thawed basal conditions here, these results rely primarily on numerical simulations and indirect constraints, highlighting the need for independent seismological validation.To address this, we analyze continuous ambient seismic noise recorded by 80 temporary seismic stations deployed across the study area. We apply the degree of polarization–ellipticity (DOP-E) method to measure Rayleigh-wave ellipticity and invert for shallow Vs structures within the priori knowledge of ice properties by using the neighborhood algorithm.This study provides seismological constraints on the internal and basal conditions of the GrIS in Southwest Greenland that complement existing radar observations and thermodynamic models, thereby establishing a new observational framework for investigating basal material properties and ice-dynamic processes in this region.

How to cite: Cai, C.-R., Chao, W.-A., Gimbert, F., and Paris, N.: Constraining Basal Conditions of the Greenland Ice Sheet Using Rayleigh-Wave Ellipticity From Ambient Seismic Noise Records, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15649, https://doi.org/10.5194/egusphere-egu26-15649, 2026.

Long-term monitoring of slopes is of significance for engineering geology research and geo-disaster prevention. There is a growing need to develop fast, nondestructive and affordable techniques that can detect gradual and cyclic changes inside slopes. For this purpose, we propose a fast and low-cost computational framework based on processing the single-point ambient seismic noise recordings by the horizontal-to-vertical spectral ratio (HVSR) method. To test the efficiency of the proposed framework, we conduct a demonstration study in a road-cut slope in colluvium deposits in Southwest China. First, we carry out short-term ambient seismic noise surveys on the slope, delineate the shear wave velocity (Vs) structure of the slope, verify and establish this structure as the reference Vs model for the slope. Then we conduct the long-term monitoring of the ambient seismic noise on two profiles of the slope, calculate the HVSR curves and observe the time-dependent variations of the predominant peaks that reflect temporal changes of subsurface interfaces. Finally, we perform the Vs inversion to investigate changes in the Vs structure with rainfall. Through the monitoring, we identify the rainfall-induced slope failure and discover that both predominant frequency and shallow subsurface Vs of slope are negatively correlated with rainfall. The HVSR calculation, the predominant peak identification and the Vs inversion can all be implemented in minutes, which is much faster than the array-based surface wave method. The theoretical analysis and the demonstration application show that the framework we proposed in this study has great potential for monitoring changes in performance of slopes.

How to cite: Guo, Z.: Monitoring performance of slopes via ambient seismic noise recordings, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15710, https://doi.org/10.5194/egusphere-egu26-15710, 2026.

EGU26-16643 | ECS | Posters on site | SM6.5

Multi-Scale Hydrogeophysical Integration: From Lab Calibration to Field Mapping of Unsaturated Soil Moisture in Peri-urban Slope Instabilities 

Luigi Martino, Giuseppe Calamita, Teodosio Lacava, Antonio Satriani, Sebastian Uhlemann, Filomena Canora, and Angela Perrone

The increasing frequency of extreme climatic events, from protracted droughts to high-intensity precipitation, necessitates robust frameworks for monitoring soil hydrological dynamics and associated geological risks. Hydrogeophysical methods, particularly when integrated with multi-sensory environmental arrays, offer a powerful means of capturing the spatiotemporal evolution of pore pressure, a key driver of slope instability. This study presents a multi-parametric, multi-scale monitoring strategy deployed at an open-air laboratory situated on a slow-moving peri-urban landslide in the southern Apennines (Basilicata, Italy) developed as part of the ITINERIS project (PNRR M4C2 Inv.3.1 IR EU’s Next Generation program).

We combine time-lapse Electrical Resistivity Tomography (tl-ERT) with a diverse hydrological sensor suite, including tensiometers, piezometers, soil temperature probes, and a non-invasive Cosmic Ray Neutron Sensing (CRNS) station for area-wide moisture estimation. To address the complexities of hydrogeological scaling, e.g., the dynamic nature of soil moisture patterns and their scale-dependent manifestations, we developed a customized laboratory framework designed to replicate field-scale coupled ERT and hydrological measurements. This dual-scale approach enables the derivation of site-specific petrophysical relations and facilitates the calibration of 2D/3D dynamic thermo-hydro-geophysical model.

This work focuses on the development of a robust data mining and processing workflow designed to harmonize heterogeneous geophysical, hydrological, and meteorological datasets. In this study, we present the validation of laboratory protocols alongside the preliminary setup of multi-scale field monitoring and field acquisition systems. By proposing inversion strategies and automated quality control, we aim to minimize interpretative ambiguity and move towards a more geologically consistent representation of vadose zone mechanisms. This integrated approach is establishing a preliminary foundation for future predictive modelling while offering a scalable solution for monitoring hydrogeological hazards in complex environments.

How to cite: Martino, L., Calamita, G., Lacava, T., Satriani, A., Uhlemann, S., Canora, F., and Perrone, A.: Multi-Scale Hydrogeophysical Integration: From Lab Calibration to Field Mapping of Unsaturated Soil Moisture in Peri-urban Slope Instabilities, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16643, https://doi.org/10.5194/egusphere-egu26-16643, 2026.

EGU26-16733 | Posters on site | SM6.5

Imaging Subsurface Cavities in Carbonate Rocks Using Electrical Resistivity Tomography 

Awais Akbar and Asif Ali

Urban development in central Saudi Arabia frequently encounters subsurface hazards associated with karstification, weathering, and fracturing of carbonate rocks. These features pose significant geotechnical risks for high-rise structures if not properly identified at the early design stage. This study presents the results of a high-resolution Electrical Resistivity Tomography (ERT) survey conducted at the proposed King Fahad Tower site in Riyadh, Saudi Arabia, aimed at detecting subsurface cavities and weak zones within shallow limestone formations.

The site is located on the Arabian Shelf and is underlain predominantly by sedimentary formations comprising limestone, dolomite, marl, and evaporites of Jurassic to Cenozoic age. A total of 25 ERT profiles were acquired using a multi-channel resistivity imaging system with a dipole-dipole electrode configuration. The survey achieved an investigation depth of approximately 10 m below ground level, providing detailed two-dimensional resistivity images of the shallow subsurface. Inverted resistivity models reveal a wide range of resistivity values, from as low as 2 Ω·m to greater than 600 Ω·m, reflecting strong subsurface heterogeneity. Very low resistivity anomalies (<20 Ω·m) are interpreted as zones of saturated cavities, clay-filled voids, or highly weathered and fractured limestone. Moderate resistivity values (20-150 Ω·m) likely correspond to weathered or partially saturated strata, while higher resistivity zones (>150 Ω·m) are associated with competent limestone bedrock. Several low-resistivity anomalies exhibit vertical continuity and lateral persistence, suggesting potential pathways for infiltration and zones susceptible to collapse.

Based on the integrated interpretation, a subsurface risk map was developed to delineate high-risk zones requiring verification and mitigation. The results demonstrate that ERT is an effective non-invasive tool for mapping shallow karst-related features in carbonate terrains and for optimizing intrusive investigations and ground improvement measures. This study highlights the importance of incorporating geophysical imaging into urban geotechnical site investigations to reduce construction risk and support safe foundation design in karst-prone regions.

How to cite: Akbar, A. and Ali, A.: Imaging Subsurface Cavities in Carbonate Rocks Using Electrical Resistivity Tomography, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16733, https://doi.org/10.5194/egusphere-egu26-16733, 2026.

EGU26-16753 | ECS | Orals | SM6.5

A Novel Structural Geostatistical Constrained ERT Approach for Hydrogeophysical Characterization in Glacial Sedimentary settings 

Niloofar Alaei, Thomas Günther, Thomas Eckardt, Björn Stiller, Konstantin Scheihing, Renate Pechnig, and Gerald Gabriel

Effective groundwater exploration is fundamental to the identification and assessment of subsurface water resources, particularly in challenging geological conditions. In such cases, conventional drilling-based approaches are costly and provide only limited one-dimensional information for characterizing the three-dimensional subsurface. Hydrogeophysical techniques offer efficient, non-invasive means of imaging the subsurface and can significantly reduce the need for extensive drilling campaigns. Among these, Electrical Resistivity Tomography (ERT) is one of the most widely used geophysical methods for investigating groundwater systems. However, conventional smoothness-constrained ERT inversion often fails to resolve sharp stratigraphic boundaries or represent internal heterogeneity, limiting its effectiveness in complex geological settings. Structural and geostatistical constraints have each been proposed as enhancements, but when applied separately, they often struggle to simultaneously achieve structural accuracy and inversion stability.

We introduce a novel inversion strategy that integrates seismic-derived structural horizons with unit-specific geostatistical constraints within the open-source PyGIMLi framework. This approach balances structural alignment and internal heterogeneity by enforcing sharp boundaries and applying region-specific spatial continuity models.

This hybrid strategy is evaluated at two glacially influenced groundwater study sites in northern Germany, where complex Quaternary deposits include interbedded sands, tills, and clays. Results demonstrate enhanced delineation of aquifers and aquitards, improved agreement with borehole resistivity logs, and a reduction in inversion artifacts such as over-smoothing or artificial layering. Compared to conventional and single-constraint inversions, the integrated method more effectively resolves thin confining units, anthropogenic disturbances, and laterally variable aquifer geometries with enhanced structural clarity.

This framework offers a transferable solution for hydrogeophysical characterization in heterogeneous environments, particularly where seismic or borehole data are available to guide inversion.

How to cite: Alaei, N., Günther, T., Eckardt, T., Stiller, B., Scheihing, K., Pechnig, R., and Gabriel, G.: A Novel Structural Geostatistical Constrained ERT Approach for Hydrogeophysical Characterization in Glacial Sedimentary settings, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16753, https://doi.org/10.5194/egusphere-egu26-16753, 2026.

EGU26-17678 | ECS | Orals | SM6.5

Imaging small-scale, fast subsurface flow processes: field examples and practical guidelines for GPR monitoring 

Sophie Stephan, Conrad Jackisch, Niklas Allroggen, and Jens Tronicke

Among the different near-surface geophysical methods, ground-penetrating radar (GPR) is particularly promising for investigating small-scale (centimeters to meters) and fast (seconds to minutes) subsurface flow processes. Technical developments in GPR systems and data acquisition, such as real-time signal digitization, real-time positioning techniques, and multichannel GPR systems, enable repeated 2D or 3D GPR measurements (2D/3D GPR monitoring) in various environments with a temporal resolution on orders of minutes and a spatial resolution of centimeters to decimeters. Another advantage of GPR is the ability to link temporal changes in the GPR signal to variations in soil water content, because the propagation velocity of the GPR signal depends on the dielectric permittivity and, thus, water content.

However, GPR monitoring experiments must be carefully designed to collect high-quality datasets. The experimental setup must provide accurate positioning, consistent high spatial and temporal sampling, and minimal variations in GPR antenna coupling. Furthermore, following a special data processing and data quality analyses schedule is important to obtain reliable interpretation results. Such a data analysis must focus on identifying, evaluating, and suppressing amplitude fluctuations and time shifts in the recorded GPR data that are unrelated to changes in the subsurface (time-lapse noise).

To provide a GPR monitoring strategy that incorporates all the aforementioned points, we present two field examples of GPR monitoring in combination with irrigation experiments to image subsurface flow processes: a 2D hill-slope scale experiment and 3D plot-scale experiment. These examples demonstrate our general measurement setup and schedule for repeatable GPR data collection and data analysis, as well as a first-order, attribute-based data interpretation. We also highlight important practical points to consider for performing and analyzing such GPR monitoring experiments.

Our field examples demonstrate the great potential of GPR monitoring to image and investigate subsurface flow processes. We also provide a practical guide for successfully performing GPR monitoring experiments to promote the application of GPR monitoring to study hydrological subsurface processes.

How to cite: Stephan, S., Jackisch, C., Allroggen, N., and Tronicke, J.: Imaging small-scale, fast subsurface flow processes: field examples and practical guidelines for GPR monitoring, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17678, https://doi.org/10.5194/egusphere-egu26-17678, 2026.

EGU26-18453 | ECS | Posters on site | SM6.5

Extracting dispersion characteristics of the subsurface under a railway line from passively recorded DAS data 

Sverre Hassing, Deyan Draganov, Eric Verschuur, Joost van 't Schip, Erik Duijm, Schelto Crone, and Cees-Jan Mas

Two developments of this century have allowed for a greatly increased potential for monitoring of the near surface in geotechnical applications. First, Distributed Acoustic Sensing (DAS) allows glass fibre cables attached to an interrogator to be utilised for sensing seismic vibrations with dense spatial sampling. This allows for robust, permanent recording installations that cover large spreads. 

Second, the theory of seismic interferometry shows that with the use of ambient noise, under certain conditions, any recorded trace can be turned into a virtual-source position. In the most common application, the same event, recorded at multiple positions that share a travelpath, must be crosscorrelated to obtain a virtual shot. For the full response, this must be repeated for all sources on a surface effectively surrounding the medium of interest and the results stacked.

The combination of DAS and seismic interferometry for real-time monitoring require large amounts of passive data to be collected. This does mean that subsequent processing workflows have to be adapted according to computational capabilities. Even for relatively simple workflows, high-performance computing concepts must be applied to keep processing speed aligned with data collection.

Given the large amounts of recorded data, it becomes tempting to adopt the mindset that better results are obtained by simply stacking more data. However, for seismic interferometry, a proper selection of useful noise is essential in retrieving good results.

One of the proposed monitoring applications of seismic interferometry on DAS data is for monitoring the subsurface under railway lines. The shear modulus is used to monitor the strength of the soil. As such, surface-wave analysis methods are the seismic investigation method of choice. The advantage of monitoring close to active railway lines is that passing trains provide strong noise sources. When a train passes directly past the sensors, the wavefield is very complex, but waves generated by the train propagate both backwards and ahead. These waves can be used for seismic interferometry. As different trains generate different source spectra for the wavefield, multiple different trains must be included in the data and stacked after seismic interferometry to obtain a broader frequency band.

The dataset that we use is from an 8-km-long straight section of DAS cable along a rail line between Rotterdam and Delft in the Netherlands. We estimate the passage of a train along the DAS line with the envelope of the energy of the data. Then, we select windows ahead and behind the train that capture the generated waves. As the location of the train is known, we can use the trace closest to the train as a master trace and only the causal parts of the result are summed with the total stack. Finally, the dispersion spectrum is computed from the virtual shots to extract dispersion information along the line.

Together with intermediate results, we show that consideration of the noise sources that are present and how to utilise these leads to improved results. This requires more preprocessing but also finally decreases the amount of data that must be crosscorrelated.

How to cite: Hassing, S., Draganov, D., Verschuur, E., van 't Schip, J., Duijm, E., Crone, S., and Mas, C.-J.: Extracting dispersion characteristics of the subsurface under a railway line from passively recorded DAS data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18453, https://doi.org/10.5194/egusphere-egu26-18453, 2026.

EGU26-18528 | ECS | Orals | SM6.5

An iterative algorithm for estimating and accounting for 3D TEM modeling errors in 1D inversion 

Frederik Alexander Falk, Thomas Mejer Hansen, and Anders Vest Christiansen

Systematic modeling errors arising from incomplete forward modeling theory in transient electromagnetic (TEM) inversion, such as using a 1D forward model to interpret data from inherently 3D subsurface structures, bias inversion results. It is difficult to identify these errors as erroneous 1D models often fit the data within the assumed noise level. A solution is to perform the inversion in a full 3D framework. However, 3D inversion is constrained by several challenges, such as a high demand for computational resources and increased regularization requirements. These challenges typically result in simplistic or smooth inversion models, the exclusion of probabilistic approaches, and an inability to handle complex prior information. We present an algorithm that iteratively refines a nonlinear estimate of the 3D modeling error, enabling the continued use of flexible 1D TEM inversion schemes, such as Bayesian inversion with complex priors, even in the presence of 3D effects. The algorithm iteratively refines an estimate of the error by projecting the inversion model onto a coarse 3D mesh and simulating a 3D response. By simulating data for the corresponding laterally homogenous (1D) model, the 3D error can be estimated and used to correct the data. We test the algorithm on synthetic 3D TEM data, inverted using a 1D probabilistic framework while using the median posterior model for the error estimate. We also present a test on a real airborne TEM dataset from Denmark, and in both synthetic and real tests we use the residual between the observed data and the 3D response of the projected inversion model as a quantitative performance measure.  The results show that the algorithm consistently improves the agreement between observed and simulated 3D data while also either removing or significantly dampening 3D artifacts in the final 1D inversion model. This iterative approach provides a solution that is otherwise typically provided by full 3D inversion, while preserving the advantages of 1D frameworks and with promising implications for improved interpretability of 3D structures in 1D inversion frameworks.

How to cite: Falk, F. A., Hansen, T. M., and Christiansen, A. V.: An iterative algorithm for estimating and accounting for 3D TEM modeling errors in 1D inversion, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18528, https://doi.org/10.5194/egusphere-egu26-18528, 2026.

Probabilistic geophysical inversion methods increasingly provide ensembles of subsurface physical property models, offering valuable insight into data-driven uncertainty. However, the geological interpretation of such inversion results remains challenging, as uncertainty is typically quantified in terms of the physical parameter space rather than in terms of geological structure. Translating probabilistic inversion outcomes into consistent geological models is therefore still often performed in an ad hoc or deterministic manner.

We present the probabilistic data assimilation framework GeoBUS for the geological interpretation of geophysical inversion results. GeoBUS operates on scalar-field-based implicit geological models and treats geological structures as uncertain quantities that can be updated using observational constraints. The framework is independent of the specific geophysical inversion algorithm used and can assimilate probabilistic inversion results alongside other sources of geological information.

We test GeoBUS using a synthetic case study. A reference geological model is defined and used to generate corresponding electrical resistivity tomography data, which are subsequently inverted using a probabilistic inversion scheme to obtain an ensemble of resistivity models. These inversion results are then assimilated in GeoBUS through petrophysical consistency relationships, yielding posterior ensembles of geological scalar fields that can be directly compared to the known reference model for validation of the workflow.

In a second step, we extend the study by sequentially assimilating additional geological information. In this example, borehole interface depths are incorporated to illustrate how GeoBUS naturally accommodates heterogeneous observations and progressively reduces structural uncertainty. This demonstrates the flexibility of the framework and its potential for bridging the gap between probabilistic geophysical inversion and geological modeling in applied geophysics.

How to cite: Bobe, C., von Harten, J., and Wellmann, F.: GeoBUS: A Probabilistic Data Assimilation Framework for Geological Interpretation of Geophysical Inversion Results, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19498, https://doi.org/10.5194/egusphere-egu26-19498, 2026.

EGU26-19932 | ECS | Posters on site | SM6.5

Assessing the Feasibility of Detecting Water-Filled Cavities Along Seismic Reflection Profiles: A Synthetic Study 

Somaye bayat, Tiernan Henry, and Christopher J Bean

The detection of underground cavities is important for geotechnical safety, groundwater assessment, and subsurface characterization. Fluid-filled cavities in karst areas can strongly influence seismic wavefields due to the contrast between the cavity contents and the surrounding rock. Interaction between seismic waves and cavities can lead to partial trapping of energy, producing reverberations and resonant signals that extend beyond the primary arrivals and appear as characteristic spectral peaks in the frequency domain.

In this study, we investigate the potential of seismic reflection data to identify deep (200m-800m) water-filled cavities (conduits) based on these characteristic responses observed along a seismic profile. Numerical simulations of seismic wave propagation are used to examine the development of cavity-induced resonances and their sensitivity to cavity properties and subsurface conditions. The results indicate that although cavity-induced resonance signatures are strongest at traces located directly above the cavity, they can still be used to determine the lateral position of the cavity along a seismic profile. We are using these numerical studies as a prelude to investigating deep ground water resources in Ireland’s extensive limestones, many of which exhibit karstification. In particular, we are developing spectral and other templates based on numerical simulations for expected deep conduit structures. These templates will be matched with real observations by re-examining existing deep reflection seismic data bases, in the search for deep water-bearing karst structures.

How to cite: bayat, S., Henry, T., and Bean, C. J.: Assessing the Feasibility of Detecting Water-Filled Cavities Along Seismic Reflection Profiles: A Synthetic Study, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19932, https://doi.org/10.5194/egusphere-egu26-19932, 2026.

EGU26-21694 | Orals | SM6.5

Rapid drone and ground magnetic mapping of subsurface fractures during a volcano-tectonic crisis in Grindavík, on the Reykjanes Peninsula SW Iceland 

Elisa Piispa, Catherine Gallagher, Sindri Bernholt, Gunnlaugur Einarsson, Ögmundur Erlendsson, Katrín Karlsdóttir, Magnús Sigurgeirsson, Robert Askew, Daniel Ben-Yehoshua, Birgir Óskarsson, Sydney Gunnarson, Magnús Tumi Guðmundsson, and Gunnlaugur Björnsson

We applied an integrated drone- and ground-based magnetometry workflow to map shallow subsurface fractures and cavities inside the town of Grindavík, during the 2023-2025 volcano-tectonic crisis on the Reykjanes Peninsula SW Iceland. Since10 November 2023 a total of 12 dike intrusions have occurred under the Sundhnúkur crater row from a shallow magma reservoir at Svartsengi, 9 of which resulted in fissure eruptions. Three of these dikes propagated underneath the town of Grindavík triggering widespread fault reactivation, fracturing, and surface deformation. Two main grabens formed above intrusions in the west and east of the town, with a maximum measured vertical displacement of 1.5 m. Short-wavelength linear and elliptical magnetic lows delineated open or partially open fractures and localized cavities hidden beneath the surface. These open fractures and cavities or void spaces were then verified with field observations, LiDAR surface deformation, and targeted shallow excavations. Comparison with historical aerial photographs indicates several anomalies correspond to reactivated, and further opened, pre-existing fractures along the main graben that cuts through the town. This integrated drone and ground-based approach enabled rapid mapping of the major fracture networks in inaccessible terrain, maintaining operator safety. In turn this guided near-real time hazard assessments, and supported stakeholder decision-making, by revealing fracture continuity, areas of sinkhole development within the fracture lineaments, as well as aperture variability and branching patterns along the fractures. Forward magnetic modelling shows that the anomaly shapes and amplitudes are compatible with fracture and void sources within the upper ~10-20 m of bedrock. This study demonstrates the first combined application of drone and ground magnetometry for rapid real-time fracture mapping in an urban post-volcano-tectonic crisis event setting which has affected the >3,700 local residents of the town of Grindavík.

How to cite: Piispa, E., Gallagher, C., Bernholt, S., Einarsson, G., Erlendsson, Ö., Karlsdóttir, K., Sigurgeirsson, M., Askew, R., Ben-Yehoshua, D., Óskarsson, B., Gunnarson, S., Guðmundsson, M. T., and Björnsson, G.: Rapid drone and ground magnetic mapping of subsurface fractures during a volcano-tectonic crisis in Grindavík, on the Reykjanes Peninsula SW Iceland, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21694, https://doi.org/10.5194/egusphere-egu26-21694, 2026.

SSS7 – Soil Pollution and Reclamation

EGU26-3067 | ECS | Orals | SSS7.1

Estimation of microplastics entering agricultural soil through the use of biofertilizers 

Crislaine Bertoldi, Michael Zanke, Milda Pucetaite, Maria Hansson, Carl Troein, and Martijn van Praagh

The use of biofertilizer from anaerobic digestion of organic waste in biogas companies provides a valuable nutrient source for agricultural soils and supports the circular economy. However, their use may also contribute to the input of microplastics (MPs) into soils, and data on this topic remains limited. This study investigated the abundance of MPs (<2 mm) in biofertilizers in biofertilizers and estimated their mass input to the Swedish agricultural soils. Samples from three different biogas industries were collected and pretreated using Fenton and enzymatic treatments to remove organic matter and analyzed by optical microscopy and optical photothermal infrared (O-PTIR) spectroscopy. Morphological characteristics were further examined by scanning electron microscopy (SEM). The highest concentration of MPs detected in the samples was 887,840 particles kg⁻¹ (dw). The MPs abundance was moderately positively correlated with the proportion of food waste in the feedstock. Mass estimations were up to 6.19 ± 0.56 mg MPs kg⁻¹ (dw) of biofertilizer. Considering a per-hectare basis, estimated inputs ranged from 0.4 ± 0.06 to 2.0 ± 0.31 g of MPs ha⁻¹ (dw) and a total annual input of 114 ± 17 to 377 ± 126 kg of plastics yr⁻¹ into the soils through biofertilizer application. The predicted environmental concentration (PEC) of MPs in the soil ranged from 1.0 µg MPS kg⁻¹ after one year to 50 µg MPs kg⁻¹ after 50 years, indicating low ecological risk under realistic agricultural conditions. Fragments within the 5–50 µm particle-size range (75%) were the most common type of MPs (98%, n = 2,325). This result suggests consistent fragmentation of MPs across the biogas facilities and biofertilizer production processes. In addition, chemical composition was determined for 71% of the MPs using O-PTIR spectroscopy, among which paint-derived particles (23%) were the most abundant. Therefore, while the amounts of MPs found in biofertilizer in this study are relatively low, its annual applications can serve as a measurable pathway for MPs input to soils, despite their agronomic and environmental benefits. Thus, in the future, MPs monitoring in biofertilizer should be considered.

How to cite: Bertoldi, C., Zanke, M., Pucetaite, M., Hansson, M., Troein, C., and van Praagh, M.: Estimation of microplastics entering agricultural soil through the use of biofertilizers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3067, https://doi.org/10.5194/egusphere-egu26-3067, 2026.

EGU26-4920 | ECS | Orals | SSS7.1

Association of microplastics with water-stable aggregates formed under laboratory conditions 

Mike Rohling, Iso Christl, and Denise Mitrano

Water-stable soil aggregates (WSAs) are a key to the structural stability of soils. The presence of microplastics (MPs) has been found to affect WSA formation. Additionally, the association of MPs with WSAs may strongly alter the transport behavior of MPs in soils. However, the association of MPs with newly formed WSAs has not yet been investigated as a function of MP and soil properties. In this study, we assessed how polymer composition [polyethylene terephthalate (PET), polylactic acid (PLA)], particle size (small: nominally <63 µm; large: nominally >250 µm), MPs concentration in soil (0.2, 0.5, 1 wt.%) and soil texture (loam, loamy sand) impact WSA formation and MPs-WSA association over a two-week incubation under controlled laboratory conditions. Small PLA fragments reduced WSA formation more strongly and tended to be less associated with WSAs than small PET fragments, potentially due to the slightly greater hydrophobicity of PET. Across all incubations, coarse PLA fragments at 0.2 wt.% showed the largest share of unassociated fragments with approximately 35% of all MPs introduced into the system. The effect of small PLA fragments on WSA formation was concentration-dependent, with reduced aggregation at low and intermediate concentrations but near-control levels at high concentration, despite a higher fraction of unassociated MPs. These non-monotonic effects suggest that MPs affect WSA formation through opposing mechanisms and monotonic concentration–response assumptions may be inappropriate for intra- or extrapolating MP effects on WSA formation. Altering soil texture from loam to loamy sand did not impact the share of unassociated small PET fragments. Collectively, MPs polymer composition, size, and concentration in soil impacted WSA formation and their association with WSAs under the experimental circumstances, showing potential for reduced MPs transport in soils and altered soil structural stability.

How to cite: Rohling, M., Christl, I., and Mitrano, D.: Association of microplastics with water-stable aggregates formed under laboratory conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4920, https://doi.org/10.5194/egusphere-egu26-4920, 2026.

Microplastic (MP) contamination in agricultural soils is increasingly linked to low-density plastics originating from plasticulture (e.g., mulching) and from MP-contaminated organic fertilisers such as compost and sewage sludge. Although these entry pathways are well documented, robust quantification of MP in soil remains challenging and time-consuming. Established microscopic–spectroscopic approaches (µ-Raman, µ-FTIR) are highly effective in aquatic matrices but require intensive soil sample preparation because soil organic matter (SOM) interferes with polymer identification. Many soil protocols rely on density separation with high-density salt solutions (e.g., ZnCl₂) and chemical oxidation to remove SOM with hazardous and corrosive reagents that can modify MP in relevant ecotoxicological parameters like size, shape, and surface properties. Additionally, MP surface quantification is still rarely integrated into routine analysis, despite its relevance to toxicity. To address these limitations, this study developed and rigorously evaluated a hazard-free workflow for MP detection and surface property quantification in contaminated agricultural soils without the need for SOM removal. The key advance is automated MP detection in the presence of SOM, while enabling 3D surface property quantification by surface roughness-related descriptors. The workflow combines (i) sample preparation for 25 g soil (<2 mm fraction) using physical dispersion, density separation with ultrapure water, and freezing-based extraction technique, with (ii) high-resolution 3D Laser Scanning Confocal Microscopy (3D LSM; Keyence VK-X1000, Japan) and (iii) machine-learning-based data analysis using a supervised Random Forest classifier with respecting optical, laser and height values. The 3D LSM scans a 25 mm diameter filter with a minimum pixel size of 2.7 µm and a height resolution of 4 µm. The Random Forest classifiers enable reliable identification even when soil contact modifies the apparent colour of MP particles and avoid watershed segmentation in the postprocessing. The workflow outputs MP particle counts alongside detailed size distributions, 3D shape, and quantification of surface properties. Performance was evaluated using three agricultural topsoils spanning contrasting textures (sand, loam, silt) spiked with representative polymers: transparent polypropylene, transparent low-density polyethylene (LDPE), and black LDPE particles across three size fractions <53 µm, 53-100 µm, and 100-250 µm, plus fibres (1000 µm length). The method reliably detected both transparent and black MP ≥53 µm in soils with low particulate organic matter content, achieving a mean recovery rate of 80% ± 28%. Transparent MPs were robust against low particulate organic matter, whereas black MPs and fibres were more sensitive. MPs <53 µm were consistently underestimated, regardless of SOM presence or soil texture, indicating current limitations driven by physical dispersion during sample preparation and size-dependent background correction. Four parallel samples (4 x 25 g; 100 g total soil) can be processed within three days, from preparation to analysis, enabling rapid throughput without the use of hazardous substances. As density separation is performed with ultrapure water, the workflow is currently most suitable for low-density polymers. Overall, this hazard-free 3D LSM–Random Forest workflow provides a scalable and automated tool for screening and characterising low-density MPs in agricultural soils, generating quantitative datasets that support ecotoxicology-relevant assessments and complement existing laboratory approaches.

How to cite: Scheiterlein, T. and Fiener, P.: Microplastics detection in agricultural soil combining 3D Laser Scanning Confocal Microscopy with machine learning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5293, https://doi.org/10.5194/egusphere-egu26-5293, 2026.

EGU26-7266 | ECS | Posters on site | SSS7.1

Quantifying the abrasion of microplastics from bicycle tires into the environment 

Fabian Sommer, Volker Audorff, and Manuel Steinbauer

Introduction 

Biking as a form of transportation and leisure activity in natural environments has the potential to introduce MPs directly into ecosystems, often with shorter pathways than cars. While tire wear particles (TWP) from cars are known to be a major source of microplastics (MP), little is known about bicycle tire abrasion quantities.  Our first study delivered the first real-life usage abrasion data of mountain bike tires with 3.6 grams per 100 kilometres (front and rear tire combined). This second study quantifies microplastic abrasion from different bicycle tire types (road, gravel, cross country, trail, downhill) in real-life usage and tries to identify influential parameters on abrasion rates (bike, rider, environment).  

Methods 

We measured the weight loss of bike tires to quantify abrasion throughout their lifecycle. Over 90 subjects tracked their routes via GPS ridden with provided tires to calculate weight loss with distance. This follows a similar approach tested for quantifying tire abrasion of motorized vehicles. 

Results 

We found an average abrasion rate from 0.4 (road bike, front tire) to 3.6 grams (downhill mountain bike, rear tire) per 100 kilometres and tire. At every measurement point for all tire sets the rate was higher for the rear compared to the front tire. These values are comparatively low to abrasion rates between 11 up to 95 grams per 100 kilometres from motorized vehicles. 

Discussion 

Overall, the method of gravimetrically measuring weight loss proved to be an effective way to quantitatively assess the microplastic abrasion emitted by bike tires. Tire abrasion quantities of different tire types could be explained by tire attributes (e.g. different compounds, contact area and ridden tire pressure). Different abrasion quantities of individual tires of the same type could be explained by rider and bike attributes (e.g. system weight, riding style, suspension travel) and environmental attributes (e.g. surface type, incline/decline, surface moisture, temperature). 

Outlook 

We aim to detect potential intervention points in use and production to reduce MP abrasion from bicycles. By calculating the influence of different parameters (bike, rider and environment) we will try to model the load and spatial distribution of bicycle tire-based MPs in the environment.  Our research can deliver valuable insights for a better understanding of the global MP cycle. 

How to cite: Sommer, F., Audorff, V., and Steinbauer, M.: Quantifying the abrasion of microplastics from bicycle tires into the environment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7266, https://doi.org/10.5194/egusphere-egu26-7266, 2026.

EGU26-7931 | ECS | Posters on site | SSS7.1

Particle-based quantification of tire and road wear particles in roadside agricultural soils 

Julian Bornemann, Kai Nils Nitzsche, Alexandra Foetisch, Moritz Bigalke, and Collin J. Weber

The widespread emissions of tire and road wear particles (TRWP) as particulate pollutants, originated from tire abrasion on roads, represent a potential threat to the soil ecosystems. TRWP can accumulate in roadside soils over time and are suspected to have hazardous effects through released toxic additives and metals, demonstrating the urgent need for implementable analytical methods allowing the quantification of TRWP in soils. Up to now, there is a lack of reliable “real-world” TRWP data in roadside agricultural soils. Furthermore, previous research on TRWP in soils reported mass-based concentration, which does not include necessary information on TRWP shape and size distribution. We have determined the TRWP concentrations in 75 topsoil samples from agricultural fields adjacent to roads (1 and 5 m distance) in the Rhine-Main metropolitan area (Hesse, Germany). The sampling locations are close to federal highways, state roads and country roads covering a wide range of daily traffic volumes. TRWP were extracted from soil matrix via combined density separation method that uses high- (NaI, ρ = 1.8 g cm-3) and low (NaCl, ρ = 1.1 g cm-3) density solutions as well as subsequent sample purification via Urea/Thiourea treatment and Fenton reaction. The particle-based identification of TRWP was based on their characteristic black color, accessed by optical microscopy and subsequent image analysis using a machine learning approach. This method allows full TRWP quantification and single particle characterization including systematic information on particle size and morphology. The particle-based data can be further used to perform TRWP mass-estimations using 3D particle data derived from microscopy z-stacking and assumed particle densities. Our method shows a mean recovery of 85% with a detection limit of 30 µm and no blank contamination. So far, our preliminary results show higher TRWP concentrations in locations closer to the road and decreasing concentrations with increasing distances from the road. We detected TRWP concentrations (particles per kg) exhibiting mean values of 90,000 p kg-1 for 1 m distance and 1,000 p kg-1 for 5 m distance. Furthermore, estimated TRWP masses for both distances show mean values of 100 mg kg-1 & 0.2 mg kg-1, respectively. At this stage, we can conclude that there is no dilution of TRWP quantities by agricultural tillage practices and TRWP concentrations are within comparable range to roadside soils.

How to cite: Bornemann, J., Nitzsche, K. N., Foetisch, A., Bigalke, M., and Weber, C. J.: Particle-based quantification of tire and road wear particles in roadside agricultural soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7931, https://doi.org/10.5194/egusphere-egu26-7931, 2026.

EGU26-7966 | ECS | Posters on site | SSS7.1

Rainfall-Induced Transport of Microplastics in Soils Depends on Soil Pore Structure 

Jeongyeon Yun, Wiebke Mareile Heinze, Mats Larsbo, Denise M. Mitrano, and Geert Cornelis

Soils are recognized as major sinks of microplastics (MPs), yet their mobility under field-relevant conditions remain poorly understood. Most studies investigating water-driven vertical transport of MPs have employed simplified experimental setups with repacked soils or artificial homogeneous porous media. However, natural soils are structurally heterogeneous and contain macropore networks that can serve preferential transport pathways, even for larger MPs. Incorporating key soil physical controls on transport is therefore crucial for improving the applicability of experimental findings to natural soil systems.

This study examined the vertical transport of MPs in undisturbed soil with an intact macropore system. Intact soil cores (11 cm height, 9 cm diameter) were collected from a clay loam agricultural topsoil. Soil pore architecture, including pore connectivity, tortuosity, and pore size distribution, was characterised using X-ray computed tomography (CT). To further facilitate interpretation of the MP transport experiments, we carried out non-reactive tracer experiments at constant water flow rate. Metal-doped polyethylene terephthalate (PET; 63–125 µm) fragments were subsequently introduced to the soil surface, and the cores were subjected to intermittent rainfall simulations at 5 mm day-1 under near-saturated conditions. MP transport was quantified by measuring the metal tracer in leachates and soil cores at different depths using ICP-MS.

By linking MP transport to soil pore architecture, this work aims to unravel the role of the soil pore structure in determining MP mobility in soils. We expect transport depth and rate of MPs are likely governed by pore-network geometry, such as connectivity, continuity and pore-to-MP size ratios. Thereby, this work contributes to a more field-realistic assessment of MP transport process and a step towards improving long-term predictions of MP exposure in soils.

How to cite: Yun, J., Mareile Heinze, W., Larsbo, M., M. Mitrano, D., and Cornelis, G.: Rainfall-Induced Transport of Microplastics in Soils Depends on Soil Pore Structure, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7966, https://doi.org/10.5194/egusphere-egu26-7966, 2026.

EGU26-9108 | ECS | Orals | SSS7.1 | Highlight

Effects of climate and soil properties on the mineralization and disintegration of biodegradable polymers: A meta-analysis 

Emilee Severe, Tim Börner, Claudia Som, and Bernd Nowack

In recent years plastic use in agriculture has led to higher crop yields as well as decreased resources needed to grow crops, such as agrochemicals and irrigation water. However, the complete retrieval of plastics such as mulch films is challenging, leaving plastic fragments in the soil and forming macro-, micro- and nano- plastic residues over time. The sustainability of fully replacing conventional plastics with biodegradable plastics in agriculture is still widely debated due to variable rates of biodegradation which have been observed across various soil and climatic conditions. Understanding which factors control the processes of biodegradation is critical for the development of models to predict the biodegradation of these plastics across various soils.

To this end, we conducted a global meta-analysis of the degradation of biodegradable plastics in agricultural soils. Studies across field, mesocosm and laboratory experimental scales were included to determine which soil, environmental, and polymer parameters are the most impactful on biodegradation rates and how these rates vary across experimental scales. Parameters investigated included but were not limited to temperature, precipitation, land management practices, soil physicochemical properties, polymer surface area, polymer type, and polymer detection methodologies. We found that a large proportion of research on this topic do not report basic soil properties such as soil texture. Despite this shortcoming, we still were able to identify the most relevant soil, environmental, and polymer parameters that affect the biodegradation rates of biodegradable plastics. Results from this meta-analysis will be used in the development of a conceptual process-based fate model to predict the degradation rates and steady-state concentration of biodegradable plastic residues in agricultural soils across various soil types. The development of such model will provide critical information to stakeholders who seek to find alternative biodegradable materials to conventional agricultural plastic products.

How to cite: Severe, E., Börner, T., Som, C., and Nowack, B.: Effects of climate and soil properties on the mineralization and disintegration of biodegradable polymers: A meta-analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9108, https://doi.org/10.5194/egusphere-egu26-9108, 2026.

Pyrite is a naturally occurring soil mineral that can be used as a reactive material in Fenton process for the treatment of groundwater and wastewater treatment plant effluent containing various micropollutants and microorganisms. However, microplastics enter into domestic wastewater and natural systems through some anthropogenic activities, and may interact with soil minerals in subsurface environment. In this study, batch experiments were conducted to determine the role of microplastics on simultaneous degradation of antibiotics and bacterial inactivation in groundwater and secondary wastewater treatment plant effluents with Fenton process using pyrite as the catalyst. Our results indicate that the removal of antibiotics and bacterial inactivation from water is driven by a combined effect of adsorption, followed by oxidative degradation/inactivation on pyrite surface. However, the presence of microplastics in water adversely affects the degradation of antibiotics and bacterial inactivation with pyrite-based Fenton process since they interact with pyrite surface through hydrophobic bonding, thereby reducing the catalytic activity of pyrite for an effective Fenton operation. 

Note: This study was partly funded by a research grant from Canakkale Onsekiz Mart University under a grant number of FDK-2025-5103.

How to cite: Kantar, C. and Can Gulacar, S.: Effect of microplastics on simultaneous degradation of antibiotics and bacterial inactivation in groundwater and secondary wastewater treatment plant effluents with Fenton process using pyrite as the catalyst , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9381, https://doi.org/10.5194/egusphere-egu26-9381, 2026.

EGU26-10672 | Posters on site | SSS7.1

Development of an extraction and determination method for microplastics in compost and soil matrices 

Rafael Boluda Hernández, Javier Young, Gonzalo Ruíz-Pérez, Alejandro Alejos-Campo, Luis Roca-Pérez, Óscar Andreu-Sánchez, and Eva Fernández-Gómez

Plastic pollution and its degradation into microplastics (MPs) represent a critical environmental challenge. Initially studied in aquatic ecosystems, MPs are now recognized as ubiquitous emerging contaminants, detected in atmosphere, water, soils, compost and soft tissues of living organisms. This widespread occurrence raises increasing concern about their environmental fate and potential impacts on ecosystems and human health, particularly in terrestrial matrices such as compost and agricultural soils. Our goal was to develop and evaluate a method for extracting and determination MPs in these complex matrices, given their significance for agricultural sustainability. A methodology was developed based on reported techniques, adapted to overcome the inherent heterogeneity of the samples. The protocol included physical separation and analysis. Characterization involved Fourier-transform infrared spectroscopy (FTIR) for polymer identification, optical microscopy for morphometric analysis, and statistical methods to compare samples. Extraction was performed via sequential density fractionation (NaCl: 1.2 g·mL⁻¹; ZnCl₂: 1.6 g·mL⁻¹; NaI: 1.8 g·mL⁻¹) and oxidative digestion with H₂O₂, followed by filtration and stereomicroscope counting. We analysed three compost samples with different C/N ratios and one reference sample, four paddy soil samples from surface and subsurface horizons, flood sediment, soil amended with pelleted compost, and an undisturbed forest soil as a negative control. Process blanks and air controls (with/without air conditioning) were included to assess laboratory air quality. Results confirmed the presence of MPs in all samples, with maximum extraction in the intermediate-density solution (1.6 g·mL⁻¹). In compost, concentrations ranged from 1,793 to 8,736 microparticles per kilogram (MP kg⁻¹). In soils, surface horizons contained higher MP abundance (≥ 5 × 10³ MP kg⁻¹) than subsurface horizons (≤ 10³ MP kg⁻¹), with amended soils and sediment showing intermediate levels. Statistical analysis revealed significant differences between samples and a positive association between MP abundance and organic matter content. Air controls indicated airborne contamination, exacerbated by air conditioning use. Although FTIR could not conclusively identify polymers due to fouling, detailed analysis of particle shape, size, and colour was achieved via spectroscopic microscopy. MPs in the reference compost were attributed to cross-contamination, highlighting the challenge of avoiding it. In summary, the method successfully extracted MPs, showing a predominance of mid-density plastics isolated with ZnCl₂. Our findings also emphasize the need for strict anti-contamination measures, especially in non-specialized labs. This preliminary study underscores the urgency of developing efficient and reproducible protocols for accurate polymer identification and confirms MP pollution as a priority issue in compost and agricultural soil research.

How to cite: Boluda Hernández, R., Young, J., Ruíz-Pérez, G., Alejos-Campo, A., Roca-Pérez, L., Andreu-Sánchez, Ó., and Fernández-Gómez, E.: Development of an extraction and determination method for microplastics in compost and soil matrices, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10672, https://doi.org/10.5194/egusphere-egu26-10672, 2026.

EGU26-10808 | ECS | Orals | SSS7.1

Extraction and Quantification of Synthetic Hydrophilic Polymers from Soil with Py-GC/MS 

Christian Plicht and Zacharias Steinmetz

Current plastic research focuses on particulate water-insoluble polymers such as polyethylene and polystyrene. Synthetic hydrophilic polymers, a class of anthropogenic materials with an annual global production of over 35 Mt, have received little scientific attention. Synthetic hydrophilic polymers are used for the controlled release of agrochemicals and for seed coating. Despite being intentionally added to soil, little is known about their occurrence or fate in soil.

This study aimed to address this knowledge gap by developing and validating a pyrolysis gas chromatography/mass spectrometry (Py-GC/MS) method for identifying and quantifying synthetic hydrophilic polymers in soil. We focused on the most common synthetic hydrophilic polymers: polyacrylic acid (PAA), polyethylene glycol (PEG), polyvinyl alcohol (PVOH) and polyvinyl pyrrolidone (PVP) in agricultural model soil.

The method was validated by measuring one solution containing all four polymers between 1 and 200 µg/mL using pyrolysis gas chromatography/mass spectrometry (Py-GC/MS). Intra-day repeatability was determined by 10-fold measurement of a 150 µg/mL standard. To test polymer recovery from three agricultural model soils (5–47% clay, 1–3% organic carbon), 5 g of soil were spiked with 1 mL of hydrophilic polymer solution (2 mg/mL). Further, three extraction agents were tested: aqueous NH3 solution (pH = 11), aqueous H3PO4 (pH = 3) solution and concentrated sodium pyrophosphate solution (TSPP, 0.1 M, pH = 9). 10 mL of extraction agent were added and agitated for up to 28 days. Samples were taken every seven days, to assess the optimal extraction time and the best possible recovery rate. Non-spiked reference soil was used as a blank. Samples and blanks were measured as duplicates.

Limits of detection (LODs) for PEG, PVOH and PVP were below 1 µg/mL and limits of quantification (LOQs) ranged from 68 to 87 µg/mL. LOD and LOQ for PAA were the highest with 25 µg/ml and 94 µg/mL, respectively. The pyrolysis of PAA and PVOH partly resulted in similar pyrolysis products, challenging the simultaneous and selective quantification of both polymers. The intra-day repeatability was 8–16%. The best recovery rates ranged from 20 to 133% and were achieved with TSPP. While the acidic solution led to recovery rates of 21–115% in soils with 5-16% clay and 1% organic carbon, polymer concentrations in a soil with 47% clay and 2.6% SOM were below LOD. The alkaline solution recovered 5–144% of the polymers. The optimal extraction time varied among soil types. On average, a 14-day extraction yielded the best recoveries with TSPP solution. Blank signals for PVP and PEG were below 10% of the sample spikes. For PVOH and PAA the blank signals were 26–71% and 15–63%, respectively. These results demonstrate the significant challenges of analyzing PVOH and PAA simultaneously, as both polymers produce similar pyrolysis products.

Py-GC/MS is a promising tool for identifying and quantifying synthetic hydrophilic polymers. However, further experiments using complementary analytical methods are required to improve analytical robustness.

How to cite: Plicht, C. and Steinmetz, Z.: Extraction and Quantification of Synthetic Hydrophilic Polymers from Soil with Py-GC/MS, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10808, https://doi.org/10.5194/egusphere-egu26-10808, 2026.

EGU26-10997 | ECS | Orals | SSS7.1

Time-resolved colonization patterns of bacteria and fungi on polystyrene microplastics in floodplain soils 

Rizwan Khaleel, Alfons Weig, Julian Wagenhofer, Markus Rolf, Yifan Lu, Hannes Laermanns, Frank Nitsche, Tillmann Lueders, Claus Bässler, Christian Laforsch, Martin G.J. Löder, and Christina Bogner

Microplastic (MP) contamination in soil ecosystems is a growing concern because MPs can accumulate, interact with soil biota, and have negative impact on soil functioning. Microbial biofilms forming on MP surfaces modify their physicochemical properties, potentially influence the transport and bioavailability of MPs, and possibly contribute to microbial degradation of the particles. While many studies have examined how MPs affect soil organisms, less attention has been given to how soil biota, particularly microbial biofilms, influence MPs in soils. This study investigates bacterial and fungal colonization on polystyrene MPs incubated in two parallel experiments in floodplain soil in the field as well as under controlled laboratory conditions over 4, 8, and 16 weeks. Using scanning electron microscopy and biofilm biomass assays, we observed progressive biofilm formation. We found higher biomass on MPs under laboratory conditions compared to natural incubation after 16 weeks. Metabarcoding analysis (16S rRNA genes for bacteria and ITS genes for fungi) showed that bacterial communities on MPs exhibited distinct dynamics under laboratory and natural conditions, with Acidobacteriota and Proteobacteria dominating and indicating temporal succession in natural conditions. In contrast, fungal communities, dominated by Ascomycota and Basidiomycota, remained more stable in composition across both conditions over time. Genera with known PS degradation potential, such as Pseudomonas, Bacillus, and Penicillium, were also detected, suggesting potential microbial involvement in MP breakdown. Our findings underscore the significance of natural incubations in elucidating MP-microbe interactions in soils, with a particular focus on bacterial and fungal communities. This study also calls for longer-term, polymer-diverse studies to better assess MP fate in soil ecosystems.

How to cite: Khaleel, R., Weig, A., Wagenhofer, J., Rolf, M., Lu, Y., Laermanns, H., Nitsche, F., Lueders, T., Bässler, C., Laforsch, C., Löder, M. G. J., and Bogner, C.: Time-resolved colonization patterns of bacteria and fungi on polystyrene microplastics in floodplain soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10997, https://doi.org/10.5194/egusphere-egu26-10997, 2026.

EGU26-11590 | ECS | Orals | SSS7.1

Plastic Beyond the Surface: Multi-Scale Alteration Mechanisms of Polypropylene in Soils 

Quentin Bollaert, Guillaume Pécheul, Delphine Vantelon, Alina Vlad, Jonathan Perrin, Isabelle Bihannic, Ana Pradas del Real, Camille Rivard, and Mélanie Davranche

Plastics have become pervasive contaminants in terrestrial environments, notably through compost amendments that introduce large quantities of fragments into agricultural soils. Once in the soil, plastics undergo weathering and degradation, leading to their fragmentation into microplastics (1 µm–5 mm) and nanoplastics (< 1 µm), which can be transported through the soil profile (1). Mobility of nanoplastics is particularly concerning because they can transport adsorbed metals such as lead, titanium and emerging contaminants such as rare earth elements (2,3). While thermal, photo- and mechanical degradation pathways are documented (4,5), the structural transformations induced by soil weathering and their role in generating nanoplastics remain poorly understood.

Here, we investigated polypropylene (PP) macrofragments aged ~30 years in agricultural soils at Meung-sur-Loire (Loiret, France). Using multi-scale synchrotron imaging and diffraction techniques, we characterized the surface alteration layers and assessed their implications for nanoplastic formation.

Synchrotron X-ray fluorescence (s-XRF) shows the heterogeneous distribution of metallic additives containing Ca, Ti, Cr, Mn and Fe, together with surface parallel cracks, trapping soil minerals. Micro-computed tomography (micro-CT) evidences that these surface cracks propagate down to ~150 µm, demonstrating that degradation extends into the interior of the polymer. Rietveld refinement of synchrotron grazing-incidence X-ray diffraction (s-GIXD) reveals that these cracks reflect strong vertical gradients in crystallinity and atomic positions between the altered surface nanolayers and the underlying interior, consistent with surface recrystallization and the development of a deep alteration front. These surface modifications coincide with the formation of large subsurface voids (up to ~300 µm) linked to surface roughening, recording the break-up of the polymer into smaller micro- and nanoplastic fragments. At the nanoscale, synchrotron nano-CT highlights heterogeneous nanoporosity (up to ~2.5 %) in regions enriched in nano-additives, whereas additive-poor regions show < 0.5 % porosity. This spatial correlation demonstrates that metallic additives act as preferential sites that promote localized degradation.

Altogether, this multi-scale structural analysis evidences that soil weathering induces deep structural degradation that is controlled by the distribution of metallic additives. These structural features shed light on the processes controlling the formation and release of potentially harmful nanoplastics in soils.

References

1. Wahl et al., (2024). Journal of Hazardous Materials, 476, 135153.

2. Davranche et al., (2019). Environmental pollution, 249, 940-948.

3. Blancho et al., (2022). Environmental Science: Nano, 9(6), 2094-2103.

4. Cai et al., (2018). Science of the Total Environment, 628, 740-747.

5. He et al., (2018). TrAC Trends in Analytical Chemistry, 109, 163-172.

How to cite: Bollaert, Q., Pécheul, G., Vantelon, D., Vlad, A., Perrin, J., Bihannic, I., Pradas del Real, A., Rivard, C., and Davranche, M.: Plastic Beyond the Surface: Multi-Scale Alteration Mechanisms of Polypropylene in Soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11590, https://doi.org/10.5194/egusphere-egu26-11590, 2026.

Microplastics are now widely detected across sediments systems, from soil and riverbeds to estuarine deposits and groundwater-connected aquifers. In soils and saturated sediments, accumulated particles can change pore structure and water-flow pathways, modify aggregation, and persist for decades because of low degradability. Field observations reveal that soils can act as long-term reservoirs that are intermittently remobilized by infiltration events and changing hydraulic gradients. Besides, microplastics can sorb and co-transport hydrophobic organic contaminants, pesticides, and trace metals, and can also leach polymer additives. These risks motivate a hydrological question central to contaminant fate in soils and sediments: how fast and how far can microplastic particles migrate through realistic pore geometries under saturated flow? Answering it requires models that connect pore structure to transport behaviours such as breakthrough curves over representative sediment volumes, while remaining computationally feasible for heterogeneous natural media.

We develop a fast, memory-efficient, purely geometry-driven pore-network framework that predicts microplastic transport in water-saturated sediments using only reconstructed pore-space geometry, without solving the Stokes field or performing particle-resolved tracking. At the pore scale, we derive a flux-weighted transit-time distribution for one-in-one-out pore cells and obtain a near-universal decay close to t-3. For pores with multiple inlets and outlets, we partition each pore into one-in–one-out subdomains using an optimal-transport allocation that minimizes viscous energy dissipation, yielding physically consistent weights and a mechanistic pore-scale transit-time model. We then propagate these statistics through the network via flux-weighted random walks and compute macroscopic breakthrough curves by convolving the inlet signal with the predicted transit-time distribution.

Benchmarks against direct NS equations simulation of lattice Boltzmann method and immersed boundary methods on identical micro-CT geometries and against microplstic trnasport through quartz-sediment column experiments show that the model captures arrival times, tailing, and non-Fickian spreading, while reducing runtime and memory demands by orders of magnitude compared with direct simulations. By requiring only geometry, the approach scales to representative sediment volumes relevant to hyporheic zones and shallow aquifers, providing a practical tool to predict microplastic migration and associated contaminant risks in soil-sediment environments.

Fig. Stokes flow through a quartz column (left) and a comparison of breakthrough curves of direct simulation and our PNM method (right).

How to cite: Liu, H. and Gekle, S.: Geometry-Driven Prediction of Microplastic Transport in Saturated Sediments: Fast and Memory-Efficient Pore-Scale Modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13225, https://doi.org/10.5194/egusphere-egu26-13225, 2026.

EGU26-13305 | ECS | Orals | SSS7.1

Mechanisms of microplastic accumulation in the root zones of agricultural soils 

Darrell Tang and Xiaomei Yang

Root zones of agricultural soils are particularly vulnerable to microplastic accumulation due to high rates of inputs from agriculture-specific sources, including fertilizers and plastic mulch films. As microplastics degrade very slowly, any removal of microplastics from the root zone within agriculturally relevant timescales of several months or years likely requires mechanical means, such as hydrologically driven leaching and erosion. However, the potential for microplastic leaching appears to be low. Plastic mulch, a major contributor to microplastics in agricultural soils, is used to help retain soil moisture. Plastic mulch is thus often used in dryland agriculture, where leaching may be minimal due to similar mean water inputs (precipitation, irrigation) and outputs (evapotranspiration) at the soil surface. To gain new insight into this critical issue on agricultural soil sustainability, we conducted several studies on microplastic leaching and erosion in agricultural soils.

Firstly, we performed a column experiment with microplastics added to disturbed and undisturbed soil columns, subject to multiple irrigation-drying cycles. Results show that microplastics were highly immobile both in the soil matrices and fractures. The overall subsurface transport behavior of microplastics appeared to be primarily diffusive, meaning that remediating microplastic polluted soils by forced leaching may not be feasible.

Secondly, our pore-scale/fracture-scale hydrodynamic modelling study suggests that the trajectories of microplastics in soils are highly sensitive to fluctuations in water fluxes, spatial heterogeneities in soil properties, and the physical properties of microplastic particles (which change over time due to weathering), because most microplastics have near-neutral density in water. Collectively, the chaotic trajectories of numerous microplastics may partly explain the primarily diffusive transport observed in the column experiment. Furthermore, the model shows that particles with near-neutral density are especially likely to be trapped in low-flow parts of the soil where particles are unlikely to be remobilized by fluid flow. This may explain the low mobility of microplastics in our column experiment despite the large mean pore-water velocities (20 cm·h-1) during irrigation.

Thirdly, from another ongoing experimental study, we find that because of the minimal downwards leaching of microplastics, microplastics are susceptible to overland transport during runoff-erosion events. Preliminary results suggest that the subsurface and overland transport mobility and behavior of microplastic film debris from agricultural mulch are highly distinct from that of microplastic fragments from other sources such as fertilizer.

Therefore, microplastics are prone to accumulate in the shallow layers of agricultural soils, whether at the source location, or off-site due to overland transport. Nevertheless, this transport and accumulation is very sensitive to microplastic type and physical properties.

How to cite: Tang, D. and Yang, X.: Mechanisms of microplastic accumulation in the root zones of agricultural soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13305, https://doi.org/10.5194/egusphere-egu26-13305, 2026.

EGU26-16614 | ECS | Orals | SSS7.1

Soil mineralogy and temperature modulate the effects of biodegradable microplastics on dissolved organic carbon in soils 

Mariana Vezzone, Maria Heiling, Fang Wang, Christian Resch, Reinhard Pucher, Roberto M. dos Anjos, and Gerd Dercon

Biodegradable plastics are increasingly promoted as sustainable alternatives to conventional polymers, yet their degradation in soils can mobilize dissolved organic carbon (DOC), alter the stability of soil organic matter (SOM) and generate oligomers and nanoplastic particles with high bioavailability. The release of labile carbon forms from biodegradable microplastics can stimulate microbial activity, weaken mineral protection of organic matter, and enhance CO2 emissions, with effects becoming more pronounced under warmer pedoclimatic conditions. Despite their growing use, the extent to which biodegradable microplastics influence DOC dynamics and priming of native SOM across contrasting soil mineralogies remains poorly constrained. Here, we investigated how biodegradable microplastics affect SOM stability under warming by incubating two contrasting soils, a 2:1 clay-rich Chernozem and a highly weathered Ferralsol dominated by 1:1 clays and Fe/Al oxides, with two biodegradable polymers (polylactic acid, PLA and poly(butylene adipate-co-terephthalate), PBAT) at 22 and 27 ºC. Soil CO2 emissions and priming of native SOM were quantified using stable carbon isotopes (13CO2) measured by cavity ring-down spectroscopy, while changes in DOC quantity and quality were assessed using DOC concentrations and specific ultraviolet absorbance indices (SUVA254, SUVA260, and SUVA280). PBAT induced substantially higher cumulative CO2 emissions than PLA, driven by strong positive priming effects, particularly in the Chernozem, where priming accounted for a large fraction of total CO2-C released at both temperatures. In contrast, PLA showed minor or negligible priming effects. In the Ferralsol, total DOC concentrations were largely unaffected by plastic type, but biodegradable microplastics, especially PLA at 27 ºC, significantly reduced SUVA indices, indicating shifts toward less aromatic and potentially less stable DOM. These contrasting responses reflect differences in mineral protection mechanisms and pH regimes between soils. The contrasting responses of the Chernozem and the Ferralsol demonstrate that soil mineral protection mechanisms fundamentally control how biodegradable microplastics influence soil carbon stability. In the Chernozem, where organic matter stabilization relies primarily on 2:1 clays, cation bridging, and aggregate occlusion under neutral to alkaline pH (7.79), PBAT strongly stimulated microbial activity, resulting in pronounced positive priming and substantial losses of native soil carbon. The absence of concurrent changes in SUVA indices indicates that this destabilization was driven mainly by biological activation of weakly protected carbon pools rather than by disruption of chemically stabilized organomineral associations. In contrast, the Ferralsol, dominated by Fe and Al oxides and characterized by acidic pH (3.98) and strong inner-sphere complexation, showed limited sensitivity in total DOC and CO2 fluxes but exhibited marked, temperature-dependent shifts in DOC quality, particularly under PLA at 27 ºC. Reductions in SUVA indices point to selective alterations in DOC composition, consistent with modified sorption–desorption equilibria or preferential microbial processing of aromatic fractions without large-scale carbon mobilization. These findings indicate that biodegradable microplastics destabilize SOM through distinct pathways depending on mineralogy, either by enhancing microbial priming where mineral protection is weaker, or reshaping DOC composition where physicochemical stabilization dominates, with temperature further modulating these processes.

How to cite: Vezzone, M., Heiling, M., Wang, F., Resch, C., Pucher, R., dos Anjos, R. M., and Dercon, G.: Soil mineralogy and temperature modulate the effects of biodegradable microplastics on dissolved organic carbon in soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16614, https://doi.org/10.5194/egusphere-egu26-16614, 2026.

Microplastics (MPs) have become ubiquitous in terrestrial ecosystems, while the responses of biogeochemical cycles in forest soils to MPs remain poorly understood. This study aimed to explore the potential disturbances of MPs on soil carbon and nitrogen cycling and their associations with soil chemical properties under different MP input treatments in a global warming trend.

Surface soil samples (0-10 cm) were collected from a subtropical forest in Hong Kong and incubated with four MP types (PE, PP, PLA, and PBAT), three concentrations (0% as controls, 1%, and 5%), and two temperatures (20℃ and 30℃) for three months. Key chemical properties (e.g., total carbon (TC), total nitrogen (TN), soil organic carbon (SOC), dissolved total carbon (DTC), nitrate nitrogen (NO3-N), ammonium nitrogen (NH4-N), etc.) and cumulative greenhouse gas emissions (CO2, CH4) were measured. After that, three-way ANOVA was used to analyse the main and interactive effects of MP types, concentrations, and temperatures on soil properties, while Spearman’s correlation analysis was applied to explore the associations between soil properties. Also, redundancy analysis (RDA) was used to understand the synergistic relationships of soil property changes defined by key driving factors.

Preliminary RDA analysis revealed that temperature and concentration jointly explained approximately one-third of the total variation in soil chemical properties, with temperature being the dominant driver. However, MP types alone did not significantly structure the overall property matrix, three-way ANOVA revealed significant interactive effects. It indicated that MP types could interact with either temperature or concentration to significantly affect key processes such as NO3-N content and cumulative CO2 emission. Spearman’ s correlation analysis also illustrated that these interactions were triggered by a temperature-dependent shift in carbon-nitrogen coupling. At 20 ℃, cumulative CO2 emission was strongly negatively correlated with NO3-N, whereas at 30℃ it became positively linked with NH4-N and DTC, suggesting a shift toward a more rapid, tightly coupled mineralization pathway under warmer conditions. Notably, the temperature sensitivity (Q10) of soil respiration was altered by MP addition, certain polymers (e.g., PBAT) exhibited higher Q10 values than the control, indicating an amplified respiratory response to warming.

In conclusion, the combination of different statistical analysis methods suggests that MPs may disturb the key carbon and nitrogen cycling of subtropical forest soil not merely by changing the content of soil properties, but also by modifying the system’ s temperature sensitivity and by differentially occurring certain metabolic pathways at specific temperatures. This work aligns with the SSS7 focus on anthropogenic influences on soil systems and supports further research on MP-microbe-climate feedbacks.

How to cite: Gong, L. and Lai, Y. F. D.: Interactive Effects of Microplastic Pollution and Global Warming on Soil Carbon and Nitrogen Dynamics in Subtropical Forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17241, https://doi.org/10.5194/egusphere-egu26-17241, 2026.

EGU26-17899 | ECS | Posters on site | SSS7.1

Reducing the Plastic Footprint in Agriculture: The Cross-Border Project AgriRePlas as a Case Study in the Upper Rhine Valley 

Zacharias Steinmetz, Janina Neff, Victoria Eckerle, Ann-Sophie Rupp, Alisa Berning, Christian Buchmann, Jonas Mougenot, Miriam Weber, and Christian Lott

The advantages of plastic products in modern agriculture are well-documented. Greenhouse films and tunnels enable temperature control, while ground coverings, like films and nonwovens, are used to regulate evaporation, soil temperature, weeds and pests. These applications help to save water and agrochemicals, increase crop yields and extend the growing season. However, the use of plastics in agricultural fields also poses risks, such as the release and accumulation of persistent (micro)plastics in the environment. This could have negative effects on soil physics, biogeochemistry, microorganisms, plants and animals. The cross-border project AgriRePlas aims to evaluate the current use of plastics in agriculture, their potential leakage pathways and the management of used materials. By bringing together stakeholders along the entire value chain, including growers, plastic producers and manufacturers, retailers, as well as collection and recycling companies, the project plans to develop measures to improve plastic use and minimize environmental impacts in three agricultural sectors. In close collaboration with public administrations, growers’ associations, agricultural schools, research centers and academic partners, AgriRePlas will promote multiple-use and deposit-refund systems, particularly for packaging. Recycling rates of used agricultural plastics will be increased through improved information, coordination of logistics and optimization of material quality and quantity. Plastic products currently used in agricultural production are screened for applications with a high risk of loss and leakage. Wherever appropriate, biodegradable alternatives are being identified. Existing biodegradable products are tested in real-world field trials together with farmers and accompanied by scientific monitoring. Complementary studies will examine plastic contamination from conventional products and the behavior, degradation and effects of biodegradable alternatives in soil, with particular consideration of regional climatic and conditions. Information and knowledge transfer play a central role in the project, aiming to strengthen plastic literacy among consortium members and stakeholders. All generated data and results will be made publicly available in German, French and English to support practitioners and policymakers in the Upper Rhine region and beyond.

How to cite: Steinmetz, Z., Neff, J., Eckerle, V., Rupp, A.-S., Berning, A., Buchmann, C., Mougenot, J., Weber, M., and Lott, C.: Reducing the Plastic Footprint in Agriculture: The Cross-Border Project AgriRePlas as a Case Study in the Upper Rhine Valley, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17899, https://doi.org/10.5194/egusphere-egu26-17899, 2026.

EGU26-18104 | ECS | Posters on site | SSS7.1

Tracing Plastic Degradation in Soils Using Copper Isotopes: Novel Insights from Laboratory Experiments 

Manon Le Corre, Anne-Catherine Pierson-Wickmann, Bleuenn Gueguen, Maxime Pattier, Mélanie Davranche, and Aline Dia

Global plastic production now exceeds 400 million tons per year and continues to increase, despite plastics being ubiquitous and pervasive in every environmental compartment. Soils are increasingly recognized as major sinks for macro-, micro- and nanoplastics. The presence of plastic in soils can affect their quality and impair ecosystem services. Yet, degradation pathways in soils remain insufficiently constrained, limiting our ability to predict plastic persistence and associated risks. Manufactured plastics contain complex organic and inorganic additive packages (e.g. pigments, fillers, stabilizers, flame retardants, and catalyst residues), which may leach, transform or fragment during aging. Copper (Cu)-bearing pigments, widely used in green and blue plastics, offer an opportunity to couple elemental and isotopic information to track additive mobilization during degradation.

Here, we investigate temporal changes in elemental composition and copper isotope ratios (δ⁶⁵Cu) during a controlled laboratory degradation experiment in plastic-contaminated soil systems. Three common polymers - polyethylene (PE), polypropylene (PP) and polyvinyl chloride (PVC) - were cut into 1 x 1 cm pieces. For each polymer, 400 mg were exposed to two conditions over 1 to 24 weeks (1, 2, 4, 8 and 24 weeks): (i) agitation in a soil suspension prepared with ultrapure water (soil:water 1:1) and (ii) incubation in water-saturated soil under static conditions. Triplicates and controls were prepared for each condition and duration.

Following microwave digestion, major and trace element concentrations were determined by ICP-MS. Copper was purified by chromatographic separation, and δ⁶⁵Cu was measured by MC-ICP-MS on plastics recovered at each time point. Under static conditions, δ⁶⁵Cu remained unchanged for all polymers during the 24 weeks. Under agitation, PE showed no significant δ⁶⁵Cu shift, whereas PVC and PP displayed a slight decrease during the first two weeks, followed by an increase at 4, 8 and 24 weeks. In contrast, most major and trace element concentrations remained stable over the 24-week experiment in both conditions.

Overall, our results show that Cu isotopes can capture subtle, time-dependent processes during plastic aging in soils that are not apparent from bulk elemental concentrations alone, providing an additional tracer dimension for assessing the fate and behaviour of plastics in terrestrial environments. Ongoing experiments extending to 40 weeks and future comparisons with field-collected plastics from contaminated sites will further test and scale up this approach.

How to cite: Le Corre, M., Pierson-Wickmann, A.-C., Gueguen, B., Pattier, M., Davranche, M., and Dia, A.: Tracing Plastic Degradation in Soils Using Copper Isotopes: Novel Insights from Laboratory Experiments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18104, https://doi.org/10.5194/egusphere-egu26-18104, 2026.

EGU26-18180 | Posters on site | SSS7.1

Spatial heterogeneity and vertical redistribution of microplastics in floodplain soils 

Christina Bogner, Markus Rolf, Hannes Laermanns, Pauline Seidel, Marie Gröbner, Svenja Riedesel, Anja Holzinger, Lukas Kienzler, Julia Horn, Sarmite Kernchen, Julia N. Möller, Georg Dierkes, Christian Pohl, Heike Feldhaar, Christian Laforsch, and Martin G.j. Löder

Floodplains are increasingly recognised as important sinks for microplastics (MPs) at the interface between terrestrial and aquatic systems, yet their role in the long-term retention, redistribution, and vertical transport of MPs in soils remains poorly understood. While rivers are known pathways for microplastics to marine environments, floodplain soils may act as intermediate storage compartments where hydrological dynamics, sediment properties, and biological activity jointly control plastic fate.

Here, we investigate the spatial and vertical distribution of microplastics in floodplain soils along the Rhine River, combining field observations, depth-resolved soil analyses, and hydrodynamic flood modelling. Soil profiles were sampled across multiple transects spanning contrasting floodplain topographies and flooding frequencies. Microplastic abundance and mass concentrations were quantified using FTIR spectroscopy and pyrolysis GC/MS. To assess controls on vertical redistribution, top soils and one selected soil profile were studied, supported by physico-chemical analyses and dating. In parallel, a hydrodynamic flood model was used to relate observed microplastic patterns to flood frequency and inundation dynamics.

Our results reveal pronounced spatial heterogeneity in MP distribution across floodplains. Highest concentrations consistently occur in topographic depressions characterised by frequent inundation and enhanced sediment deposition. Vertically, microplastics are predominantly enriched in upper soil horizons but are also detected at depth, indicating downward transport beyond simple surface accumulation. Associations with finer-grained horizons suggest a role of soil physical structure in regulating retention, while deviations from this pattern point to the modifying influence of biological activity and soil mixing processes.

These findings highlight floodplains as dynamic and heterogeneous microplastic sinks, where hydrological connectivity, local topography, and soil properties interact to control transport and long-term fate.

How to cite: Bogner, C., Rolf, M., Laermanns, H., Seidel, P., Gröbner, M., Riedesel, S., Holzinger, A., Kienzler, L., Horn, J., Kernchen, S., Möller, J. N., Dierkes, G., Pohl, C., Feldhaar, H., Laforsch, C., and Löder, M. G. j.: Spatial heterogeneity and vertical redistribution of microplastics in floodplain soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18180, https://doi.org/10.5194/egusphere-egu26-18180, 2026.

EGU26-18604 | ECS | Orals | SSS7.1

Nanoplastics are taken up by lettuce and barley under realistic soil condition 

Max Groß, Melanie Braun, Hong-Jie Zhang, Wulf Amelung, Sylwia Adamczyk, Nils Borchard, Thijs Bosker, Ziyun Huang, Ai-Jun Miao, Luca Nizzetto, Rachel Hurley, Rong Ji, Sannakajsa Velmala, Laura Zantis, and Thomas Pütz

Nanoplastics (NPs) have been shown to be taken up by plants, raising concerns about their transfer into food webs and potential risks to human health. However, most existing studies have been conducted in hydroponic systems, which hardly represent realistic soil conditions and/or used fluorescent NPs, that do not allow for exact quantification. To quantify NP uptake and translocation by different crops under environmentally realistic conditions, 14C-labelled polystyrene NPs (~25 nm) were applied to intact soil monoliths at an environmental realistic concentration of 0.03% in the topsoil (0–10 cm). Winter barley (Hordeum vulgare) and lettuce (Lactuca sativa) were grown in spiked and unspiked monoliths; and plant samples were collected after five and nine weeks. Radioactivity in plants was quantified using liquid scintillation counting, additionally NP leaching through the soil columns was assessed.

After five weeks, lettuce had taken up an average of 8.9 µg NP g-1 dry matter (DM), while winter barley accumulated 1.5 µg NP g-1 DM, corresponding to approximately 0.02‰ and 0.004‰ of the applied NP, respectively. After nine weeks, lettuce accumulated on average 2.5 µg NP g-1 DM and barley 2.0 µg NP g-1 DM, corresponding to 0.026‰ and 0.014‰ of the applied NP, respectively. Detectable radioactivity in the soil percolates further indicating NP transport through the soil profile.

These findings demonstrate that NPs can be taken up and translocated by plants under realistic soil conditions and accumulate in edible tissues, highlighting a potential pathway for entry into the food chain.

How to cite: Groß, M., Braun, M., Zhang, H.-J., Amelung, W., Adamczyk, S., Borchard, N., Bosker, T., Huang, Z., Miao, A.-J., Nizzetto, L., Hurley, R., Ji, R., Velmala, S., Zantis, L., and Pütz, T.: Nanoplastics are taken up by lettuce and barley under realistic soil condition, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18604, https://doi.org/10.5194/egusphere-egu26-18604, 2026.

EGU26-18812 | ECS | Posters on site | SSS7.1

Microplastic background levels in German soils: The influence of site-specific characteristics and land-use practices 

Sandy Placzek, Wiebke Mareile Heinze, Elke Bloem, and Zacharias Steinmetz

Microplastics (< 5 mm) are ubiquitous environmental pollutants. The extensive accumulation of microplastics in marine and terrestrial ecosystems has become a critical global issue, driven by their ecotoxicological impacts and persistence. The knowledge about its occurrence, especially in the agricultural ecosystem, remains limited, which makes environmental assessments and the development of mitigation strategies difficult.

This study aims at assessing the background levels of microplastics in German soils to elucidate the influence of site characteristics and land-use practices on their spatial distribution. To this end, soil was sampled from 400 cropland and 200 pasture sites in Germany. The samples were characterized for soil type, soil organic carbon (SOC), and pH. Polyethylene (PE), polypropylene (PP), and polystyrene contents are quantified using solvent-based pyrolysis GC/MS. An oxidative digestion with hydrogen peroxide (H2O2) was used to reduce SOC in the samples. Microplastics was density-separated from the soil matrix using a saturated NaCl solution.

To validate the method, a recovery test was performed, as the samples contained varying SOC (0.7–39.0%). The recovery experiments were conducted on the following soil types: a clay soil (2.4% SOC), a sandy loam (1.7% SOC), a sandy silt (12.5% SOC), and a quartz sand. Recoveries varied with respect to polymer and soil type. Higher polymer spikes (25 µg/g) yielded higher recoveries (12.5 – 88.0 %) than lower concentrations (5 µg/g, 0 – 48.9 %). The highest recovery rate was 88% for PS with quartz sand. Among the polymers tested, PE showed the highest recovery, whereas PP exhibited the lowest. Recovery experiments with different soil types are crucial in microplastic research to ensure accurate quantification, as varying soil properties can significantly affect the efficiency and reliability of the extraction process.
First results from 52 out of the 600 soil samples indicate that concentrations are overall low and near the analytical detection limits (0,5 – 3 mg kg⁻¹). Average PE levels were 3.4 ± 0.3 mg kg⁻¹ in arable soils and 10 ± 20 mg kg⁻¹ in grasslands. PP concentrations were comparable in both land-use types, ranging from 2.0 to 2.1 mg kg⁻¹. PS levels in both land-use types were below the limit of detection. The values determined must be considered in relation to their SOC content, which may interfere with polymer quantification. Differences in microplastic types could also be attributed to the different site factors depending on land use and potentially driven by atmospheric deposition or littering.

These findings are preliminary and based on a subset of the sampled sites. Data collection and analysis are ongoing and will be extended to the full set of the 600 sites. The data generated in this project will help to develop a geoinformatics-based assessment framework for classifying microplastic pollution in the German agricultural landscape and to derive recommendations for mitigating microplastic inputs. 

How to cite: Placzek, S., Heinze, W. M., Bloem, E., and Steinmetz, Z.: Microplastic background levels in German soils: The influence of site-specific characteristics and land-use practices, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18812, https://doi.org/10.5194/egusphere-egu26-18812, 2026.

EGU26-19083 | Posters on site | SSS7.1

Dynamics of microplastics in soils amended with digestate: interactions with pesticides and antibiotics - Project 3Impact 

Leonardo Bacci, Enrico Buscaroli, Stefania Diquattro, Nicolò Montegiove, Ilaria Braschi, Andrea Ciurli, Diana Luise, Paola Castaldi, Maria Vittoria Pinna, and Danila Pezzolla

The agricultural application of digestate (D) derived by the anaerobic treatment of organic waste can contribute to the microplastics (MPs) accumulation in soils. MPs represent an emerging environmental concern because of their high persistence and their documented effects on terrestrial and aquatic ecosystems, as well as their capacity to interact with co-occurring contaminants such as pesticides and antibiotics, with consequences for ecosystem functioning. A deeper investigation of the interplay among MPs, digestate, and xenobiotics is therefore essential to clarify their dynamics in soils, as well as to assess potential long-term environmental impacts.

The 3IMPACT(*) project evaluated soil health, as well as sorption and persistence of xenobiotic compounds (seven antibiotics and one herbicide), under the concurrent presence of D and a mixture of MPs (namely, polyethylene, polystyrene, polypropylene, and polylactic acid), each at real case dose. Laboratory experiments were conducted on two Italian soils (S) treated with MPs (S+MPs), and soils amended with D contaminated with MPs (S+D+MPs) to study xenobiotics mobility and persistence, microbial composition and functionality, and organic matter dynamics.

The results showed that the incorporation of MPs into D-amended soils impaired organic matter turnover, reduced microbial respiration, and suppressed key enzymatic activities, including dehydrogenase, β-glucosidase, urease, and fluorescein diacetate hydrolysis. MPs prolonged the half-life of herbicide Foramsulfuron, whereas D reduced it by 10% in both soils. The herbicide adsorption increased in the presence of MPs and D, following the order (S) < (S+MPs) < (S+D+MPs). Soil dehydrogenase, β-glucosidase, and urease were stimulated by Foramsulfuron, MPs, and D, likely due to the addition of carbon and energy sources for soil microorganisms. Effects varied depending on soil type, exposure time, and interactions among treatments. MPs also prolonged the half lives of Gamithromicin, Tiamulin and Tilmicosin, while had no significant effect on other studied antibiotics. Adsorption coefficients of Gamithromicin, Lincomicin, Marbofloxacin, Oxytetracyclin, Tiamulin increased in soils amended with D but decreased for Florfenicol and Tilmicosin. MPs had no significant effects on adsorption coefficients.

Summarising, MPs contamination in soils amended with digestate exhibited significant alteration of microbiota activity. As a trend, the effect of digestate on xenobiotics adsorption within soils was higher than the effect of MPs, likely due to the additional digestate surface available for adsorption. Additionally, we hypothesized that the increased persistence of xenobiotics in soils observed in the presence of MPs can be associated to changes in microbiota composition, which is currently under study.

 

(*) 3IMPACT project (2022M24ASJ) is within the PRIN 2022 call (D.D. 104/2022 MUR) funded by the European Union - Next Generation EU, Mission 4, Component 2, CUP J53D23010170006.

How to cite: Bacci, L., Buscaroli, E., Diquattro, S., Montegiove, N., Braschi, I., Ciurli, A., Luise, D., Castaldi, P., Pinna, M. V., and Pezzolla, D.: Dynamics of microplastics in soils amended with digestate: interactions with pesticides and antibiotics - Project 3Impact, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19083, https://doi.org/10.5194/egusphere-egu26-19083, 2026.

EGU26-411 | ECS | Orals | SSS7.2

Land Degradation Processes in Mountainous Landscapes in Türkiye: Preliminary Results 

Esranur Cuhadar, Tolga Görüm, Aydoğan Avcıoğlu, Abdullah Akbaş, and Seçkin Fidan

Mountainous landscapes face numerous threats stemming from population growth, economic development, and climate change. The unique and fragile climatic conditions in mountain areas are susceptible to all changes that may occur due to anthropogenic activities (i.e., overgrazing, agricultural intensification, deforestation, land abandonment, infrastructure and construction activities, and unplanned settlement), exacerbated by extreme weather events like intensified rainfall, causing soil erosion, and prolonged drought. Land degradation occurs through the interaction of multiple processes in different regions and areas, and these processes are particularly complex and susceptible to accelerating factors in mountainous regions. Given Türkiye's topography, 58% of the land cover consists of mountainous areas; the land degradation processes in these areas, which constitute an essential segment of the Alpine–Himalayan orogenic system, remain poorly understood.    

Therefore, this study aims to develop a land degradation map in mountainous areas in Türkiye. In this regard, we compiled primary land degradation indicators for mountainous landscapes, including the normalized difference vegetation index, bare soil fraction, soil moisture, grassland, human footprint, and aridity data, at a 1km resolution for the year 2000. Here, we combine Mann-Kendall trend analyses and overlay analyses in selected mountainous areas, which comprise 5% of the total study area, to evaluate our approach for testing mapping capabilities. 

Our initial results indicated that NDVI was a decreasing indicator for land degradation. Localized degradation hotspots were identified specifically; 21% of the total area showed degradation over the last 23 years. Another important aspect we observe is a statistically significant negative trend in the grassland across 3.18% of the total study area. Whereas the human footprint exhibits varying trends that are not readily associated with land degradation. Taking all these preliminary findings into account, this study will provide the first "Land Degradation Map of Mountainous Landscapes in Türkiye" upon the completion of the land degradation assessment approach.

How to cite: Cuhadar, E., Görüm, T., Avcıoğlu, A., Akbaş, A., and Fidan, S.: Land Degradation Processes in Mountainous Landscapes in Türkiye: Preliminary Results, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-411, https://doi.org/10.5194/egusphere-egu26-411, 2026.

EGU26-1178 | ECS | Posters on site | SSS7.2

Geochemical Risk Assessment Of Elements in Tuzköy, Türkiye 

Atilla Kılıç, Fatma Toksoy Köksal, Hüseyin Evren Çubukçu, Gizemnur Koca Akçay, Ahmet Demir, Hasan Gürhan İlgen, Sinan Demir, and Devin Aykasım

Tuzköy village (Nevşehir, Cappadocia, Türkiye) is known as an epidemic location for mesothelioma cases due to exposure to erionite fibers. In this study, health risk assessment of potentially toxic elements (PTEs) in soil and bedrocks of the village has been interpreted, as well. 87 topsoil and 10 rock samples were geochemically analysed by Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Hazard Index (HI) was calculated through As, Ba, Be, Cd, Co, Mo, Ni, Pb, Sb, Se, Sn, and Zn results, while As, Be, Cd, Ni, Pb results were used for determination of Incremental Lifetime Cancer Risk (ILCR) values. In addition, contamination factor (CF), geo-accumulation index (Igeo) and pollution load index (PLI) were calculated.

Risk assessment results demonstrate that median and mean values of HI for adults are 0.280 and 0.376 respectively, and these values of ILCR for adults are equal to 9.93E-05, 1.34E-04. Moreover, median and mean values of HI for children are determined as 1.774 and 2.371 respectively, and these values of ILCR are equal to 5.97E-04, 8.4E-04. For children, both HI and ILCR values are above acceptable levels. Based on HI values, adults are not susceptible to risk as both the median and mean are below 1, but the mean ILCR value is above the acceptable limit of 1E-04.

Spatial risk maps indicate higher levels of risk in the northwest and eastern parts of the village for adults while the risk for children is widespread across the entire area, and is also considerably high in the same regions. Arsenic enrichment is considered as the main contributor to both HI and ILCR values. To conclude, in addition to erionite-related fiber exposure, arsenic-related soil contamination poses a significant health concern in Tuzköy, especially for children.

Keywords: Soil contamination, geochemical risk assessment, arsenic, incremental lifetime cancer risk, hazard index

How to cite: Kılıç, A., Toksoy Köksal, F., Çubukçu, H. E., Koca Akçay, G., Demir, A., İlgen, H. G., Demir, S., and Aykasım, D.: Geochemical Risk Assessment Of Elements in Tuzköy, Türkiye, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1178, https://doi.org/10.5194/egusphere-egu26-1178, 2026.

EGU26-1348 | ECS | Orals | SSS7.2

Source apportionment of soil pollution in industrial cities of Kazakhstan 

Ivan Radelyuk, Marat Bektassov, Alua Zhumadildinova, and Nassiba Baimatova

Soils in industrial cities act as long-term sinks for anthropogenic contaminants and can provide valuable information on emission sources. This study identifies and compares the dominant pollution sources in soils of two industrial cities in Kazakhstan, Pavlodar and Ust-Kamenogorsk, using source apportionment of polycyclic aromatic hydrocarbons (PAHs) and potentially toxic elements (PTEs). Ust-Kamenogorsk exhibits a robust technogenic footprint. Surface soils are highly enriched in Zn (up to ~600 mg kg-1), Pb (~208 mg kg-1), Cu (~74 mg kg-1), Cd (up to 6.4 mg kg-1), and As (~20 mg kg-1), forming a persistent geochemical anomaly. Source apportionment revealed four major contributors. The dominant factor is non-ferrous metallurgy, clearly associated with elevated Cd-Pb-Zn-Cu loadings in topsoil. A second factor is linked to coal combustion and fly ash deposition, characterized by Fe-Al-Cr-V associations. The natural mineralogical background was distinguished as a separate source dominated by carbonate and oxide-related elements (Ca, Mn, Ba). A fourth source, marked by strong As-Se coupling, is attributed to emissions from pyrometallurgical processing.

In contrast, Pavlodar soils demonstrated lower contamination levels and a more diffuse anthropogenic signal. Three integrated factors were identified: 1) a mixed lithogenic-industrial source combining Al, Fe, Cr, Ni, and V, reflecting both parent material and refining-related activities; 2) a traffic- and construction-related source defined by Cu, Zn, Pb, Ca, and Na, indicative of abrasion products, cement dust and historical lead residues; and 3) a minor geochemical factor dominated by Co-Se, likely attributable to local lithological heterogeneity. Total PAH concentrations range from 0.82 to 3.53 µg g-1 in Pavlodar and 0.18 to 11.31 µg g-1 in Ust-Kamenogorsk. In Pavlodar, the prevalence of indeno[1,2,3-cd]pyrene and naphthalene indicates road materials and traffic emissions, while medium-molecular-weight PAHs, contributing up to one-third of the PAH burden, are consistent with coal combustion. Ust-Kamenogorsk shows elevated PAHs levels with distinct spatial hotspots, confirming intense industrial influence. These results demonstrate that industrial specialization controls soil pollution regimes, with Ust-Kamenogorsk representing an extreme case of metallurgy-driven contamination and Pavlodar reflecting mixed urban–industrial loading. These findings highlight the need for targeted remediation and prioritized urban environmental management.

How to cite: Radelyuk, I., Bektassov, M., Zhumadildinova, A., and Baimatova, N.: Source apportionment of soil pollution in industrial cities of Kazakhstan, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1348, https://doi.org/10.5194/egusphere-egu26-1348, 2026.

Glyphosate and its degradation product AMPA, are ecotoxic, recurrent and persistent in agricultural soils, susceptible to overland transport by runoff, and sediment erosion due to their strong sorption affinities. We hypothesize that eroded sediments of different sizes have differing sorbed concentrations and relative contributions to glyphosate and AMPA transport, due to different specific surface areas and adsorption site abundances. Hence, we conducted a flume experiment of glyphosate-polluted sediment erosion in a rainfall simulator. After 1 hour of rainfall (90 mm water), 10% of applied glyphosate degraded to AMPA. The top 2 cm of soil retained 68% of the total glyphosate-equivalent (including AMPA) mass, while runoff and eroded sediment accounted for 8% and 10% respectively. Amongst pesticides transported overland, runoff (61%) and eroded sediment (39%) were similarly important for glyphosate, but eroded sediment (95%) transported remarkably more AMPA than runoff (5%), although glyphosate sorption affinities are typically larger. Small sediments (<0.25mm) constituted 75% of eroded sediment counts, but carried 60% of sediment-phase glyphosate and 85% of sediment-phase AMPA mass. In <0.25mm sediments, unlike glyphosate, AMPA breakthrough concentrations were substantially greater than in larger sediments. As water and pollutant mass exchanges between various environmental compartments (soil moisture, soil grains, runoff, eroded sediment, biodegradation) are highly dynamic, equilibrium sorption affinities alone may not fully characterize the predominant modes of pollutant transport, which may vary across spatio-temporal scales. Therefore, pollutants that are preferentially transported by eroded sediments, particularly small sediments, should be identified and prioritized in future research, due to potentially amplified environmental impacts.

How to cite: Yang, X., Silva, V., and Tang, D.: Sorptive diffuse pollutant transport under runoff-erosion potentially dominated by small sediments , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9307, https://doi.org/10.5194/egusphere-egu26-9307, 2026.

In situ stabilization methods using chemical amendments are widely applied to reduce the mobility of toxic metallic elements in abandoned mine soils. However, the long-term stability of amended soils under climate change–induced thermal stress remains uncertain. This study evaluated the effects of elevated temperature on the leaching behavior and stabilization efficiency of metallic elements in amendment-treated mine soils. Two mine soils were amended with limestone (LS) and steel slag (SS) and subjected to thermal aging at 90 °C for eight weeks, simulating accelerated weathering under the SSP5–8.5 climate scenario. Sequential extraction and batch leaching experiments were conducted to assess physicochemical transformations and the mobility of metallic elements. Thermal aging significantly increased the initial and cumulative leaching of Cu, Zn, As, and Cd compared with ambient conditions. Regression analysis identified Al and Fe as key geochemical regulators of metal mobilization under high-temperature stress, with Al hydrolysis–induced acidification enhancing the solubility of cationic elements and reductive dissolution of Fe oxides promoting As release. Although LS and SS treatments consistently reduced the leachability relative to unamended controls, elevated temperature partially weakened their stabilization efficiency. These findings demonstrate that climate-driven thermal stress can induce secondary mobilization of metallic elements through Al- and Fe-mediated processes, highlighting the need to assess the long-term durability of soil amendment–based remediation strategies under future extreme climate conditions.

How to cite: Hyun, S., Seo, Y., and Park, M.: Effect of thermal treatment based on SSP5-8.5 climate scenario on the leachability of toxic metallic elements from amended mine soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9579, https://doi.org/10.5194/egusphere-egu26-9579, 2026.

EGU26-10320 | Orals | SSS7.2

Sentinel-2 monitoring of vegetation spectral trajectories in open-cast mine plots treated with artificial soils: implications for CO2 capture   

Véronica Asensio, Alicia Sánchez-Poyal, Aránzazu Estrada, Rubén Leboreiro, Alejandro López Cortijo, David Gómez, Pamela Díaz, José Luis R. Gallego, and Lorena Salgado

Open-pit mining generally produces severe land degradation that constrains vegetation establishment and limits carbon uptake. Within a CO2-capture-oriented restoration project, we monitored vegetation development in five experimental plots affected by mining disturbance. One plot was fertilized with a commercial liquid product and four were amended with four artificial soil formulations that were placed on the degraded land. All plots were vegetated by planting seeds. The aim was to quantify and compare temporal trajectories of vegetation spectral response, as a proxy for canopy development, plant functioning and restoration performance under different artificial soils. 

We conducted a two-year monthly remote sensing analysis from January 2024 to December 2025 using Sentinel-2 surface reflectance imagery. For each plot, cloud- and shadow-masked imaginery were generated and summarized over plot-scale regions of interest. We analysed multi-spectral responses combining near-infrared and short-wave infrared information and a set of vegetation and moisture indices (e.g., NDVI, EVI, SAVI, red-edge based indices, and SWIR-derived moisture metrics) to capture changes in greenness, structure and water status. Temporal patterns were evaluated through trend and seasonal descriptors, inter-annual anomalies, and between-treatment contrasts to assess the consistency of artificial soils effects across years and climatic phases. The remote sensing time series were interpreted in the context of restoration objectives, emphasizing indicators relevant to biomass accumulation and potential CO2 sequestration. 

We observed different soil-dependent spectral trajectories across the two-year period, as well as different persistence of vegetation signals during summer stress, and recovery after disturbance periods. Plots amended with artificial soils designed to improve water retention and nutrient availability exhibited earlier and more stable increases in NIR reflectance and vegetation indices, alongside lower SWIR-based stress signatures, compared with less ameliorative formulations. These differences suggest that amendments composition can modulate vegetation establishment and function at reclaimed mine sites, with direct implications for carbon capture potential. This demonstrates the utility of high-frequency Sentinel-2 monitoring to deliver reproducible, plot-scale indicators of restoration performance to support artificial soil selection, and adaptive management in CO2-oriented mine land reclamation. 

This work was funded by the European Union under the Horizon Europe programme through the C-SINK project (Grant Agreement No. 101080377; GAP-101080377). VA thanks for her postdoctoral Ramón y Cajal contract RYC2024-048710-I funded by MICIU/AEI/10.13039/501100011033 and the FSE+. 

How to cite: Asensio, V., Sánchez-Poyal, A., Estrada, A., Leboreiro, R., López Cortijo, A., Gómez, D., Díaz, P., R. Gallego, J. L., and Salgado, L.: Sentinel-2 monitoring of vegetation spectral trajectories in open-cast mine plots treated with artificial soils: implications for CO2 capture  , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10320, https://doi.org/10.5194/egusphere-egu26-10320, 2026.

EGU26-10375 * | ECS | Orals | SSS7.2 | Highlight

Evaluating UAV spectroscopy for monitoring soil organic carbon in agricultural fields 

Hugues Merlet, Youssef Fouad, Didier Michot, Pascal Pichelin, Pascal Bertin, Antoine Savoie, Lucie Martin, Hayfa Zayani, Eric Beaucher, François Rouault, Colin Fabre, and Emmanuelle Vaudour

Recent literature shows a strong increase in publications using UAV technology [1], and more specifically for soil-related applications such as the prediction of SOC on agricultural land. This technology holds great promises for SOC mapping, particularly in the context of carbon farming, for which temporal monitoring at field-plot scale is required. However, before this technology can be widely used, key questions remain regarding accuracy, temporal sensitivity, and cost-effectiveness compared to satellite remote sensing or geostatistical approaches.

Using a two-season field monitoring over an 11.25 ha-plot, with three replicates of five different tillage practices and a total of 75 sampling points, we aim to address these questions. During the first campaign (October 2024), a multispectral UAV (10 bands from 444 to 842 nm, VNIR) was used, while during the second campaign (May 2025), a hyperspectral UAV (~500 bands from 400 to 2500 nm, VNIR-SWIR) was deployed. To our knowledge, this is the first attempt to map SOC using VNIR-SWIR hyperspectral UAV. In parallel, for both seasons, soil samples were collected for laboratory SOC analysis and spectral measurements under controlled conditions (dried and sieved samples).

We used machine learning models (PLSR, RF, SVM) to predict SOC, comparing spectra derived from UAV imagery, Sentinel-2 (S2) data, and laboratory spectra. For this purpose, the dataset was split into 2/3 for calibration and 1/3 for validation, and this procedure was repeated randomly 100 times. The same data partitioning was used to evaluate a kriging approach.

The first result shows that surface SOC concentration is strongly dependant on tillage practices, with a mean seasonal change of 1.2 g.kg⁻¹ (±1.3 g.kg⁻¹) over a 10-20 g.kg⁻¹ range. This also raises questions about the importance of acquiring spectral data close in time to soil sampling. For UAV, S2, and kriging approaches, model performance was lower in May than in October, with decreases of 1.1, 0.8, and 0.5 in RPIQ, respectively. This suggests more favorable surface and/or sky conditions in October, despite wetter soils and sparse vegetation.

In October, multispectral UAV achieved high prediction accuracy comparable to laboratory spectroscopy (RPIQ ≈ 3.1), followed by S2 and kriging (RPIQ = 2.7 and 2.3, respectively). The same ranking was observed in May, however, the performance of the hyperspectral UAV decreased substantially and became similar to S2 (RPIQ = 2.1 vs. 1.9). Adverse weather conditions may partly explain this decline. Reducing calibration sampling density did not significantly degrade UAV accuracy, indicating potential for cost reduction. Our results suggest that future UAV-based studies should systematically compare their results with alternative methods and not only report prediction performance, but also explicitly address cost-effectiveness and temporal monitoring constraints.

[1] S. A. H. Mohsan, N. Q. H. Othman, Y. Li, M. H. Alsharif, and M. A. Khan, “Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends,” Intell. Serv. Robot., vol. 16, no. 1, pp. 109–137, Mar. 2023, doi: 10.1007/s11370-022-00452-4.

How to cite: Merlet, H., Fouad, Y., Michot, D., Pichelin, P., Bertin, P., Savoie, A., Martin, L., Zayani, H., Beaucher, E., Rouault, F., Fabre, C., and Vaudour, E.: Evaluating UAV spectroscopy for monitoring soil organic carbon in agricultural fields, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10375, https://doi.org/10.5194/egusphere-egu26-10375, 2026.

EGU26-10611 | Orals | SSS7.2

Quantitative Determination of Cd Using Energy Dispersion XRF Based on Gaussian Mixture Clustering-Multilevel Model Recalibration 

Yunbing Gao, Zhi Zhang, Yanbing Zhou, Shiwei Dong, and Yanan zhao

Energy dispersive X-ray fluorescence (EDXRF) is an efficient, nondestructive, and cost-effective analytical method for the detection of multiple heavy metal elements in soil via X-rays. This method has been extensively applied in rapid on-site screening of soil, indicating a promising market outlook. The analysis accuracy of energy dispersion X-ray fluorescence spectrometry (XRF) for detecting heavy metal in agricultural soils is severely depending on complex matrix effect(such as soil organic matter, soil type, parent material, and texture),thereby posing a challenge in fast and precise monitoring soil contamination.

 

To calibrate the XRF detection, this study proposes a Gaussian mixture clustering-multilevel model (GMC-MLM) to enhance XRF accuracy for Cd in agricultural soils,which considers the interactive effects of organic matter, soil type, parent material, and texture during XRF detection. Using a Gaussian Mixture Clustering Model (GMC) to pre-classify the sample detection results, we adopt laboratory measurements as the true values and employ a multi-level modeling (MLM) approach for integrated modeling. This approach aims to further eliminate residual errors in the quantitative analysis of instrumental detection. Additionally, to address the complexity of soil matrices in different regions, we propose a technical method for constructing XRF detection corrections localized knowledge bases to address the inconsistency of modeling parameters across regions.

 

Hilly cultivated land was designated as the experimental area in Hubei Province, China. A total of 350 soil samples were collected to ensure uniform spatial distribution across the region, which covers approximately 3,855 km². These samples encompass 4 categories of parent materials, 7 soil types, and 3 texture types. To verify the effectiveness, a comparative analysis was conducted with conventional calibration methods, including linear regression, random forest and support vector machine. The results demonstrate that the Gaussian Mixture Clustering-Multilevel Model (GMC-MLM) can effectively disentangle the nested distribution characteristics of XRF detection errors. The correlation coefficient between the XRF detection results and ICP-MS test results for the corrected samples can reach 0.9085, with 74% of the corrected samples having a relative error of less than 30%. When the number of knowledge base sample points is 50, the RMSE (Root Mean Squared Error), and REM (Relative Error of Mean) are 0.7347, 3.7014%, respectively. It can be observed that the model has good extrapolation capability, and with the increase in the number of knowledge base sample points, the correction effect based on the knowledge base gradually stabilizes. This knowledge base-based GMC-MLM calibration method not only can be embedded into XRF detection instruments to correct XRF detection results in different regions of China but also provides theoretical support for the establishment of a nationwide soil sample knowledge base. This study also provides technical references for the popularization and application of EDXRF in on-site detection of farmland soils.

How to cite: Gao, Y., Zhang, Z., Zhou, Y., Dong, S., and zhao, Y.: Quantitative Determination of Cd Using Energy Dispersion XRF Based on Gaussian Mixture Clustering-Multilevel Model Recalibration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10611, https://doi.org/10.5194/egusphere-egu26-10611, 2026.

EGU26-10797 | Orals | SSS7.2

Integrating Proximal Soil Sensing and Remote Sensing to Track Soil Constraints and Crop Responses in Salinization-Prone Environments. 

Karl Vanderlinden, Mario Ramos Rodríguez, José Luis Gómez Flores, Mohammad Farzamian, and Gonzalo Martínez García

Understanding soil–crop interactions in salinization-prone agroecosystems is critical for sustainable management, yet these interactions are highly dynamic and influenced by multiple drivers. Soil apparent electrical conductivity (ECa) serves as an integrative indicator of soil properties affecting crop performance, while vegetation indices such as NDVI provide high-resolution information on crop development. Linking these datasets across space and time can reveal how soil constraints emerge and evolve during the growing season, informing adaptive management strategies. We propose a spatiotemporal correlation framework combining proximal soil sensing (ECa) with remote sensing imagery (NDVI) to identify periods and zones where soil conditions either promote or limit crop growth. Positive correlations indicate favorable conditions, whereas negative correlations signal stress factors such as water scarcity or salinity. The approach was tested in irrigated systems in southern Spain—including maize, cotton, tomato, and sugar beet—under both non-saline and salinization-prone scenarios. Results show that correlation patterns shift throughout the season, reflecting changes in soil water and salinity dynamics and their impact on crop development. This integrative workflow demonstrates the potential of combining proximal and remote sensing for diagnosing soil-driven variability and guiding precision agriculture. Integrating proximal and remote sensing technologies enables more effective monitoring and management of soil–crop interactions across fields.


Acknowledgements
This work was supported by grant PID2023-149609OR-I00, funded by MICIU/AEI/10.13039/501100011033 and by FEDER, EU. JLGF and MRR acknowledge their PhD grants PRE2020-095133 and PREP2023-001774 funded by MICIU/AEI/10.13039/501100011033 and by “ESF Investing in your future”.

How to cite: Vanderlinden, K., Ramos Rodríguez, M., Gómez Flores, J. L., Farzamian, M., and Martínez García, G.: Integrating Proximal Soil Sensing and Remote Sensing to Track Soil Constraints and Crop Responses in Salinization-Prone Environments., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10797, https://doi.org/10.5194/egusphere-egu26-10797, 2026.

EGU26-11092 | ECS | Orals | SSS7.2

Hidden below the surface: Depth- and season-resolved pesticide mixtures in agricultural soils 

Shailendra Singh Shah, Jos van Dam, Vera Silva, Awtar Singh, Devendra Singh Bundela, Rima Osman, J. Bastiaan Mohrmann, Rajender Kumar Yadav, Violette Geissen, and Coen Ritsema

Soil degradation and contamination pose significant risks to environmental quality, food security, and human health, particularly in intensively managed agricultural systems. Agricultural soils act both as sinks and secondary sources of chemical contaminants, regulating their mobility, persistence, and transfer to other environmental compartments such as groundwater and surface water. Among these contaminants, pesticides are of particular concern due to their widespread use, frequent co-occurrence as complex mixtures, and the formation of transformation products with uncertain environmental and toxicological profiles. Yet pesticide contamination is still predominantly assessed in surface soils, implicitly assuming rapid dissipation and limited relevance of subsurface layers.

In reality, soils are vertically structured and dynamic systems in which hydrological processes, soil properties, and climatic drivers, such as monsoons or heavy rainfall, can facilitate the downward transport, accumulation, and long-term persistence of pesticide residues beyond the surface layer. Empirical evidence on how pesticide mixtures redistribute across soil depths and seasons under field conditions remains scarce, especially in subtropical agroecosystems subject to intense rainfall pulses. This knowledge gap limits accurate exposure assessment and weakens soil quality indicators used to protect environmental and human health.

Here, we investigated depth- and season-resolved pesticide contamination in a subtropical agricultural landscape by analyzing 181 pesticides and metabolites in 246 soil samples collected from 41 agricultural sites. Samples were obtained from three depths: 0–5 cm (surface soil), 15–20 cm (plough layer), and 55–60 cm (deep soil) during pre-monsoon (June 2024) and post-monsoon (February 2025) periods. Sixty-one compounds were detected above quantification limits, with pesticide mixtures present in nearly all surface and plough-layer soils and in 71% of deep soils. Metabolites were particularly prominent at depth and frequently exceeded parent compounds in detection frequency, indicating transformation-driven persistence in subsurface horizons.

Comparisons with commonly used property-based mobility and persistence indicators (Koc, DT50, and GUS) revealed systematic mismatches between predicted and observed field behavior, including the deep occurrence of compounds classified as non-leaching or low-risk. These discrepancies highlight the limitations of equilibrium-based screening approaches under hydrologically dynamic conditions. To address this, we developed field-derived indices integrating seasonal occurrence, vertical mobility, and inter-seasonal carry-over with hazard classification. This approach identified several current-use pesticides, including clothianidin, carbendazim, bifenthrin, and difenoconazole, as high-priority compounds for routine monitoring due to their persistence and high toxicity to non-target organisms, including humans.

Our findings demonstrate that subsurface pesticide mixtures represent an overlooked exposure compartment in agricultural soils. Incorporating depth-resolved, metabolite-inclusive monitoring and field-based behavioral indicators into soil quality assessment and regulatory frameworks is essential for improving environmental risk evaluation, protecting groundwater resources, and safeguarding environmental and human health.

How to cite: Shah, S. S., van Dam, J., Silva, V., Singh, A., Bundela, D. S., Osman, R., Mohrmann, J. B., Yadav, R. K., Geissen, V., and Ritsema, C.: Hidden below the surface: Depth- and season-resolved pesticide mixtures in agricultural soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11092, https://doi.org/10.5194/egusphere-egu26-11092, 2026.

EGU26-14337 | ECS | Posters on site | SSS7.2

Feedstock and Pyrolysis Effects on the Ecotoxicological Quality of Leachates 

Lorena da Paixão Oliveira, Elisa Esposito, Erika Santos, and Diego Arán

Pyrolysis-derived products are increasingly being researched to improve soil and manage organic by-products from agroforestry and livestock operations. However, their chemical behavior and agronomic safety vary with feedstock and pyrolysis conditions. Eucalyptus bark contains phenolic and tannin compounds with allelopathic effects, while sheep wool contains nitrogen and sulfur compounds, which, at low pyrolysis temperatures, may produce ecotoxic substances. In soil solution, these compounds may reduce seed germination and plant growth. Therefore, assessing the ecotoxicology of leachates from pyrolysis-derived products is important to ensure the safe agricultural use of products from a circular economy.

This study assessed the ecotoxicology of leachates from pyrolysis-derived products using bioassays with two sensitive plant species. Pyrolysis-derived products included Eucalyptus bark (EB), sheep wool residues (SWR), and mixed EB/SWR at various ratios (100% EB, 100% SWR, 30/70, 40/60, 60/40, and 70/30). Feedstocks were pyrolyzed at various temperatures (150 to 500 °C) and residence times (10, 20, and 30 minutes). Simulated leachates (DIN extraction) were obtained from the raw eucalyptus biomass (EM) and pyrolysis-derived products and used in a bioassay (filter paper, n=5 replicates/treatment, n=25 seeds/replicate) with Lactuca sativa and Allium cepa..

The bioassays were carried out in a growth chamber maintained at a temperature of 25 ± 1 °C and a photoperiod of 16 h light and 8 h dark. The leachates were characterized by the elemental analyses of the macronutrients (K, Ca, Mg, P, and Na) and the ecotoxicity was determined by the measuring the percentage of germination, the time to 50% germination (T₅₀), the total dry biomass, as well as the total dry plant biomass and roots and shoots elongations. The statistics were conducted using ANOVA and the means were separated using Dunan’s multiple range test for the means which were significantly different at a 5% level (p ≤ 0.05).

The leachates presented differences in their chemical characteristics. Higher pyrolysis temperatures result in leachates with a higher pH and greater concentrations of Ca, Mg, and K. Conversely, leachates from unprocessed eucalyptus biomass and low-temperature pyrolysis products exhibited higher electrical conductivities and concentrations of elements. The final germination percentages were relatively similar across all treatments for both species, indicating a relatively robust germination response to a broad range of chemical characteristics of the leachates The remaining plant parameters were more sensitive to the treatment effects. Low-temperature pyrolysis treatments contributed to the reduction of root elongation and total dry biomass. On the other hand, leachates from pyrolysis-derived products obtained at temperatures greater than or equal to 400 °C positively influenced overall seedling performance, particularly the mixtures of eucalyptus bark and sheep wool. Pyrolysis temperature played a vital role in determining leachate quality and potential ecotoxicity. The products of high-temperature pyrolysis (≥400 °C) produced leachates with lower ecotoxicity and, in some instances, positive effects on early seedling development. Conversely, unprocessed biomass and low-temperature pyrolysis products contained leachate constituents capable of inducing unfavorable physiological responses in sensitive plants.

Keywords: Simulated Leachates, Bioassay; Pyrolysis; Lettuce; Onion; sheep wool wastes

How to cite: da Paixão Oliveira, L., Esposito, E., Santos, E., and Arán, D.: Feedstock and Pyrolysis Effects on the Ecotoxicological Quality of Leachates, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14337, https://doi.org/10.5194/egusphere-egu26-14337, 2026.

EGU26-15096 | Posters on site | SSS7.2

A Probabilistic Approach for Estimating Human Health Risk from Lead-Contaminated Soils  

Manuel Hernandez, Maria Jose Martínez Sanchez, Lucia Belen Martinez Martinez, Carmen Perez Sirvent, Carmen Hernandez Perez, and Jaume Bech

This study proposes a method for estimating the risk associated with the ingestion of soil contaminated with lead (Pb), considering the nature of the source and the parameters that influence its bioavailability. Statistical variables related to the solubility and bioavailability of Pb are used, including pH, electrical conductivity (EC), particle size distribution, mineralogical composition, and bioaccessibility/bioassimilability. These parameters allow indicators to be generated and an algorithm based on probability distributions to be constructed, which requires in-depth knowledge of the source materials in order to assess the health risk derived from the concentration of the metal.

To this end, 186 samples from areas affected by mining activities in the Region of Murcia (southeast Spain) and nearby soils were analysed. The samples were screened, homogenised and characterised by determining pH, EC, particle size, total and extractable Pb content, oral bioaccessibility tests and mineralogical analysis by X-ray diffraction.

The main objective was to develop a flexible and applicable procedure to estimate whether a soil poses a risk to human health in residential settings. The methodology is based on variables with a significant correlation with total Pb content and on parameters related to its solubility and bioavailability. The expected result is a global risk indicator, useful for taking corrective measures at contaminated sites that may be used for residential purposes. This approach allows for the incorporation of new indicators or the modification of existing ones, provided they are based on knowledge of the source of contamination.

Statistical analysis makes it possible to explain the uncertainty associated with parameters such as mineralogy, bioaccessibility and granulometry, offering valid results. Mineralogy is confirmed as a key factor in estimating risk, although it requires prior classification of the components present. The results show a significant correlation between the non-carcinogenic risk calculated using accessible Pb content and the risk estimated by the proposed indicator, with no false negatives. In some cases, risk overestimation (false positives) was detected, attributable to particular characteristics of the site, with values above the permissible limit but with a hazard index (HI) below unity.

This procedure is an effective tool for assessing risks in critical mining areas and planning preventive measures, contributing to the safe management of lead-contaminated soils.

How to cite: Hernandez, M., Martínez Sanchez, M. J., Martinez Martinez, L. B., Perez Sirvent, C., Hernandez Perez, C., and Bech, J.: A Probabilistic Approach for Estimating Human Health Risk from Lead-Contaminated Soils , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15096, https://doi.org/10.5194/egusphere-egu26-15096, 2026.

EGU26-17677 | ECS | Orals | SSS7.2

Integrated monitoring of phytoremediation through analysis of biomass production and soil recovery on a contaminated site 

Lidia Moriano, Carlos Cabo, Verónica Peña-Álvarez, Lorena Salgado, Candela Cuesta, and José Luis R. Gallego

The transition to a sustainable bio-economy faces a crucial challenge: obtaining raw materials without competing for arable land needed for food production. This problem is particularly urgent in Europe, where around 80% of the land is used for settlements, agricultural and forestry production, and infrastructure. Land scarcity requires innovative approaches to raw material cultivation. Contaminated soils, unsuitable for food crops, offer a promising alternative for industrial cultivation. However, the widespread adoption of industrial crops in these soils is limited by key challenges such as determining how contaminants affect plant growth and yield under stress conditions, as well as the dynamics of those contaminants.

This research addresses these challenges by monitoring, testing and optimizing phytoremediation strategies to improve soil health while producing bio-based products for the textile industry. The proposed approach is demonstrated in an experimental field trial at the former Nitrastur fertilizer plant (Asturias, Spain). For this study, we present an integrated monitoring framework that combines proximal and remote detection techniques with chemical analysis to assess soil contamination through vegetation response, using biomass production as a functional indicator of soil recovery.

Terrestrial Laser Scanning (TLS) was used to acquire high-density 3D point clouds, from which volumes were calculated to subsequently estimate the biomass of birch trees (Betula celtiberica) that were planted on the polluted soils twelve years ago. Structural parameters such as tree height, trunk diameter (using multiple geometric estimation methods) were extracted and indirect biomass measurements to characterize vegetation growth with different levels of soil contamination. Unmanned aerial vehicle (UAV) images also complemented TLS data by supporting plot delineation, site-scale visualization and spatial contextualization.

These structural observations were integrated with soil chemical analyses to quantify contamination levels, as well as spectral indices of vegetation and soil to assess soil health. This novel and integrated monitoring approach made it possible to assess the relationships between contamination levels and biomass production by providing key information on soil health status and its recovery process.

This work was funded by the European Union under the Horizon Europe program through the pHYBi project (Grant Agreement No. 101156439; CBE JU) and the INTERSOIL project (PID2023-147718NB-I00, AEI/Spain, FEDER/EU).

How to cite: Moriano, L., Cabo, C., Peña-Álvarez, V., Salgado, L., Cuesta, C., and R. Gallego, J. L.: Integrated monitoring of phytoremediation through analysis of biomass production and soil recovery on a contaminated site, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17677, https://doi.org/10.5194/egusphere-egu26-17677, 2026.

EGU26-19170 | ECS | Orals | SSS7.2

Environmental Legacies of Armed Conflict: Soil Contamination and Citizen Participation 

Leen Dirani, Rami Zurayk, Nermine Faaour, Tamara Kanaan, and Eva Hamade

Armed conflicts generate long-lasting environmental disturbances, with soils acting as critical sinks for toxic residues such as heavy metals and phosphorus. Soil contamination directly affects environmental and human health through exposure pathways linked to food production, soil fertility, and downstream water systems. While military training ranges have been extensively studied, contamination dynamics in recently bombarded civilian landscapes remain poorly documented. This study addresses this gap by documenting soil contamination in South Lebanon following the 2023–present conflict. A community-driven sampling strategy was implemented across bombed villages, engaging 85 local participants to ensure safe and representative coverage under restricted access conditions. A total of 200 soil samples were collected and analyzed for total and reactive phosphorus, as well as cadmium (Cd), lead (Pb), copper (Cu), zinc (Zn), and nickel (Ni). Laboratory analyses were conducted with dual-lab verification at the American University of Beirut and the Lebanese University to ensure data reliability under constrained analytical conditions. Results revealed elevated concentrations of Ni (up to 228 mg/kg) and Cd (up to 9 mg/kg), exceeding WHO soil guideline values, while Pb, Cu, and Zn were closer to background levels but exhibited localized hotspots. Reactive phosphorus concentrations indicated inputs consistent with excessive fertilization, reflecting residues associated with white phosphorus munitions. These patterns indicate heterogeneous, hotspot-dominated contamination rather than uniform spatial gradients. The enrichment of Ni and Cd above health thresholds points to acute ecological and human health risks through soil–food–water exposure pathways, while phosphorus residues highlight additional stress on soil quality and downstream aquatic systems. Overall, this study demonstrates how adapted sampling methodologies, community participation, and dual-laboratory verification can generate robust soil quality indicators in conflict-affected environments, supporting soil health risk assessment, monitoring, and remediation strategies relevant to sustainable soil management and human health protection.

How to cite: Dirani, L., Zurayk, R., Faaour, N., Kanaan, T., and Hamade, E.: Environmental Legacies of Armed Conflict: Soil Contamination and Citizen Participation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19170, https://doi.org/10.5194/egusphere-egu26-19170, 2026.

EGU26-19680 | ECS | Posters on site | SSS7.2

NH4OH-modified corncob biochar as a potential agent for improving soil properties, immobilizing organic and inorganic pollutants 

Desmond Kwayela Sama, Olena Siryk, Katarzyna Grygorczuk-Płaneta, and Katarzyna Szewczuk-Karpisz

The increasing reliance on chemically intensive agriculture has led to serious environmental issues, such as the problem of agricultural waste, soil degradation, and water contamination. Also, the widespread use of tetracycline and silver-based products has caused persistent contamination that threatens the environment and human health. Additionally, large amounts of agricultural waste, such as corncobs, are generated annually, i.e., in 2023, over 1.17 billion metric tons of waste were generated, and they are often underutilized. Converting waste into biochar (BC), a material with potential uses in soil regeneration, pollutant removal, and carbon sequestration, offers a sustainable solution to all these issues (Zheng et al., 2023). However, sometimes the physicochemical properties of this material may be unsuitable for its intended use, and modification may be necessary (An et al., 2023). This study explores NH4OH-modified corncob biochar as an eco-friendly, low-cost adsorbent for the removal of silver ions (Ag+), silver nanoparticles (AgNPs), and tetracycline (TC), aiming to improve agricultural waste management and protect the environment.

The biochar (BC) was produced from corncob (C) at 700 °C for 1 h, with a heating rate of 12 °C/min. The 25% NH4OH solution was used to chemically alter the biochar surfaces. 20 grams of biochar were introduced in a 1:5 (s/v) ratio to 100 ml of NH4OH in a magnetic stirrer and then, the mixture was stirred at room temperature for 2 h. The excess ammonium hydroxide was then eliminated using a paper filter. The resulting biochar (BCM) mixture was heated to 300°C for around 2 h in a furnace after being allowed to air dry overnight. Adsorption of the pollutants was conducted in batch experiment, with an initial concentration of 100 mg/L for Ag+, 100 mg/L for AgNPs, and 10 mg/L for tetracycline at a pH of 6. The concentration of Ag+ was measured using a silver-ion-selective electrode, while that of AgNPs, using a UV-Vis spectrophotometer at 437 nm. The concentration of tetracycline was determined using HPLC.

The performed modification changed the surface functional groups of BC. In the FTIR spectra, the introduction of amine groups was observed. The basic functional group increased by 31.8%. In addition, the hydrophobicity of the solid was reduced by 23.68%. BCM had point of zero charge (pHPZC) of 9.98, specific surface area (SBET) of 144 m2/g, whilst the content of basic and acidic functional groups equalled 8.13 mmol/g and 4.75 mmol/g, respectively. Adsorption of all adsorbates reduces in mg/g as the dose of the adsorbent increases from 0.01 to 0.1 g. There was an insignificant difference in the absorbed amounts of Ag+ and AgNPs at pH 3, 6, and 9, whilst TC demonstrated a significant difference, with the highest adsorption recorded at pH 9. TC and AgNPs demonstrated competitive interaction, while TC and Ag+ showed synergistic interaction in the bi-sorbate system. Modified biochar offers an excellent efficiency in the removal of most pollutants from the environment. Its highest observed adsorption capacity was towards AgNPs and equalled 26.73 mg/g.

 

Keywords: Antibiotics, contaminant adsorption, crop residue, agrochemicals, modified biochar

How to cite: Sama, D. K., Siryk, O., Grygorczuk-Płaneta, K., and Szewczuk-Karpisz, K.: NH4OH-modified corncob biochar as a potential agent for improving soil properties, immobilizing organic and inorganic pollutants, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19680, https://doi.org/10.5194/egusphere-egu26-19680, 2026.

EGU26-22415 | ECS | Posters on site | SSS7.2

Data fusion of proximal sensing and machine learning for soil salinity mapping in irrigated systems 

Sara Matendo, Ray G. Anderson, Todd H. Skaggs, and Elia Scudiero

Soil salinity is a major form of land degradation in irrigated agroecosystems, directly affecting crop productivity, soil health, and long-term sustainability. While proximal sensing techniques such as electromagnetic induction (EMI) are widely used for field-scale salinity mapping, accurately predicting low to moderate salinity levels remains challenging due to strong spatial heterogeneity, depth-dependent processes and limited transferability across fields. This study proposes a data fusion framework integrating proximal sensing (EMI and gamma-ray spectrometry), soil profile-based salinity metrics, and machine learning models to improve soil salinity estimations across four irrigated regions in Arizona and California, United States: Imperial Valley, Yuma, Salinas Valley and Colorado River Indian Tribes (CRIT). A total of 1,015 samples were collected. Electrical conductivity of saturated paste extract (ECe) from samples at 10, 40 and 120 cm, was aggregated into a profile weighted indicator ECew (0-120 cm) to better match the effective sensing depth of EMI measurements. Multiple modelling scenarios were evaluated using apparent electrical conductivity obtained from EMI at nominal depth ranges of 1.6 m and 2.3 m, gamma-ray data, soil taxonomy, and depth information. Six regression algorithms (Ridge, Random Forest, Gradient Boosting, Support Vector Regression, XBoost and CatBoost) were tested using random K-Fold and Leave-One-Field-Out (LOFO) cross-validation to assess spatial transferability.

Results show that profile integration and multi-sensor fusion improve predictive robustness. Across regions, jack-knifed mean square prediction error (MSPE) values ranged from 0.10 to 2.16 relative error, with the highest accuracy in Yuma (MSPE=0.10-0.13) and Imperial Valley (MSPE=0.12-0.27) (good to excellent accuracy), intermediate performance in CRIT (MSPE=0.15-0.36) and clear limitations in Salinas (MSPE=0.16-2.16). The use of ECew consistently reduced prediction error and improved spatial transferability under LOFO validation. Tree-based and boosting models outperformed linear and kernel-based approaches for depth-specific ECe, while Ridge regression proved most robust for ECew. Spiking analysis further demonstrated that incorporating small fraction of local ground-truth samples markedly improved LOFO performance, highlighting a practical balance between sampling effort and predicting accuracy. Overall, the fusion of indirect sensor observations and soil profile-based salinity metrics, enable scalable and transferable mapping of low to moderate soil salinity for operational applications.

How to cite: Matendo, S., G. Anderson, R., H. Skaggs, T., and Scudiero, E.: Data fusion of proximal sensing and machine learning for soil salinity mapping in irrigated systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22415, https://doi.org/10.5194/egusphere-egu26-22415, 2026.

Metal contamination in industrial and urban surface dust (SD) poses significant risks to both human health and ecological systems. Hence, it is essential to identify and quantify the sources of pollution to support improved surface dust and soil management strategies. In this study, 22 surface dust samples were collected from the Bhiwadi Industrial Cluster (BIC) to evaluate total metal concentration, their pollution levels and remediation of metal form surface dust through soil washing technique by using various soil organic and inorganic agents. In the soil washing technique, the removal of metals was studied by using organic acids (OA) like acetic acid (AA), citric acid (CA), malonic acid (MA), sodium citrate (SC) salt, ethylenediaminetetraacetic acid (EDTA) and combining organic acids (AA+CA+MA) assisted with the ultrasonic process. For investigating removal efficiency, OA and SC salt were employed at 0.2 M concentrations, whereas EDTA and a combination of OAs were used at 0.1 M concentrations. Results showed that the average concentrations of Cd, Cr, Cu, Fe, Mn, Ni, Pb, V, and Zn in surface dust samples were 44.4, 172, 40, 3.6, 11, 10, 29, 2, and 17.7 times higher than their respective background values in the Upper Continental Crust (UCC). SD samples showed none to very strong contamination (Contamination Factor: CF >> 6) and the Pollution Load Index (PLI) exceeded unity, indicating a deterioration of soil quality. Geo-accumulation index in SD samples was in extremely high contaminated category for Cd, Cr, Cu, Mn, Ni, Pb and Zn and in the moderate category for Fe and V. The soil washing results suggested that a significant amount of metal can be removed from contaminated soils through washing techniques. The average metal removal percentage ranged from 0.01 to 8% (V = 0.01% and Cd = 8%) in AA, 0.4 to 17.2% (Fe = 0.4% and Cd = 17.2%) in CA, 0.02 to 11.7% (Cr = 0.02% and Pb = 11.7%) in EDTA, 0.8 to 18.1% (Fe = 0.8% and Cd = 18.1%) in EDTA, 0.02 to 1.1% (Cr = 0.02% and Cu = 1.1%) in SC and 1.7 to 24.15% (Cr = 1.7% and Cd = 24.1%) in the combination of OAs. Combining washing agents can markedly increase the removal efficiency as compared to single OA and EDTA, except for Pb. Metals can be removed efficiently by increasing the washing agent concentration, contact time and ultrasonic assistance. Therefore, soil washing might be an effective technique for metal remediation in surface dust/soils before disposing in open areas.

How to cite: Verma, Dr. A.: Pollution Levels and Chemical Remediation of Metal-Contaminated Surface Dust Using Soil Washing Techniques , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1260, https://doi.org/10.5194/egusphere-egu26-1260, 2026.

EGU26-1757 | ECS | Posters on site | SSS7.5

Phalaris arundinacea as a promising phytoremediation candidate for the removal of zinc and cadmium in surface flow constructed wetlands  

Christoph Hinrichs, Tobias Arnstadt, Diemo Daum, and Oliver Wiche

Groundwater in many industrial regions is highly contaminated with heavy metals such as zinc (Zn) and cadmium (Cd), posing risks to ecosystems and human health. Therefore, we tested a surface flow constructed wetland planted with reed canary grass (Phalaris arundinacea L.) as a remediation strategy. The selection of plant species is critical for achieving continuous metal removal from constructed wetlands. Most Cd and Zn accumulating plants reported in the literature do not grow under permanent flooding, are invasive, or do not tolerate the climatic conditions in Germany. P. arundinacea is one of the highest-yielding cool-season grasses characterized by a high translocation ratio of Cd and Zn. However, information on metal tolerance and removal from highly mineralized waters under field conditions is lacking in the literature. P. arundinacea cv. Lipaula was cultivated in intermediate bulk containers (IBCs) filled with a sand-and-gravel substrate (~730 individuals per square meter). Groundwater with high concentrations of zinc (300 mg/L), cadmium (4.5 mg/L), and sulphate (1500 mg/L) was supplied from experimental wells near the study site in Duisburg, Germany. Over two consecutive phases of 7 and 6 weeks, the IBCs were irrigated either with uncontaminated tap water (reference) or with groundwater diluted with tap water—ranging from 1:30 and 1:15 in the first phase to 1:1 and undiluted groundwater in the second. Each treatment was threefold replicated. Treatment effects were evaluated by morphometric plant parameters as well as fresh and dry biomass (FM, DM) and by analysis of Zn and Cd in plant tissue (ICP-MS). Moreover, element retention in the substrate was evaluated by NH4NO3 extracts. Plants treated with undiluted groundwater developed slight chlorosis but produced more biomass, with tendencies toward increased shoot (1550 ± 200 g/m²) and root (1600 ± 150 g/m²) dry mass and longer root systems. The plant contained up to 2529 mg/kg Zn and 17.6 mg/kg Cd (DM) in the shoots and up to 3778 mg/kg Zn and 68.8 mg/kg Cd (DM) in the roots. Considering total metal uptake (metal concentration × dry biomass), this corresponds to a potential removal of 33 kg Zn/ha and 215 g Cd/ha via the aboveground biomass over the entire 13-week growth period. Our findings demonstrated that P. arundinacea tolerates high levels of heavy metals and represents a promising phytoremediation plant species for heavy metal removal in constructed wetlands.

How to cite: Hinrichs, C., Arnstadt, T., Daum, D., and Wiche, O.: Phalaris arundinacea as a promising phytoremediation candidate for the removal of zinc and cadmium in surface flow constructed wetlands , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1757, https://doi.org/10.5194/egusphere-egu26-1757, 2026.

In highly metal-contaminated soils, the application of phytoremediation techniques is often constrained by the limited number of suitable plant species that can tolerate the adverse conditions. To overcome these limitations, plant growth is often supported by the application of growth-promoting rhizosphere bacteria (PGPR) and biochar. Still, information on the effects of combined biochar and PGPR applications on soil metal availability and plant responses beyond the most profoundly studied accumulator species is very scarce. In a greenhouse experiment, we cultivated the commercially available bioenergy grasses Phalaris arundinacea and Festuca arundinacea on soil contaminated with four concentrations of Zn, Cd, Cu, and Pb, in the absence or presence of Bacillus subtilis and biochar in the growth substrate (quartz sand). In the highest metal treatment, the plants received 1000 mg/kg Zn, 6 mg/kg Pb, 5 mg/kg Cu, and 0.5 mg/kg Cd in readily plant-available forms. The other metal treatments accounted for 50%, 25%, and 0% (reference) of the highest concentrations. Within each concentration level, the soil was either left untreated (reference) or additionally treated with Bacillus subtilis, 10% biochar or a combination of B. subtilis and biochar. Each treatment was fourfold replicated.  After 5 weeks of plant growth, morphometric plant parameters of roots and shoots were measured. The rhizosphere soil was characterized regarding available element fractions and B. subtilis cell density. Root and shoot accumulation of elements was evaluated by ICP-MS. When metal treatment was low, the application of biochar and B. subtilis had no significant effect on plant growth. However, when exposed to high metal concentrations, plants treated with B. subtilis showed more than 60% higher biomass, irrespective of plant species. In contrast, the application of biochar and the combined treatment with biochar and B. subtilis had no significant effects on plant development. Preliminary results on root and shoot element concentrations indicated that B. subtilis did not influence net shoot and root uptake of elements. Ongoing analysis will elucidate the processes involved. We conclude that the application of B. subtilis is a promising strategy for enhanced plant tolerance and phytoremediation efficiency on highly polluted soils. We cannot rule out that combinations of B. subtilis with biochar might have synergistic effects when other soils and plant species are considered. Nonetheless, our data show that these combinations do not enhance phytoremediation per se when the plants are exposed to high metal concentrations in the growth medium.

How to cite: Wiche, O., Hinrichs, C. H., Samarska, A. S., Neumann, D., and Arnstadt, T.: Effects of biochar and root inoculation with Bacillus subtilis on plant growth and phytoremediation efficiency of Phalaris arundinacea and Festuca arundinacea in highly zinc and cadmium-polluted soils   , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1827, https://doi.org/10.5194/egusphere-egu26-1827, 2026.

EGU26-2978 | ECS | Orals | SSS7.5

Long-Term Nature-Based Solutions: Poplar Phytoremediation Effects on Soil Contamination and Soil Functionality 

Christina Chatzimarinaki, Nicolas Manier, Yoann Boisson, Nina Huynh, Michel Chalot, and Lisa Ciadamidaro

Soil degradation driven by long-term anthropogenic pressure affects up to 70% of European soils and poses major environmental and socio-economic risks. Nature-Based Solutions, particularly phytoremediation, have attracted attention as sustainable strategies for soil restoration. However, their long-term effects on soil functioning remain insufficiently understood. This study focuses on a contaminated site in northern France (Carrières-sous-Poissy, Île-de-France), where poplar (Populus sp.) plantations have been established as a phytoremediation measure. The site’s contamination is a result of extensive and long-term deposition of urban and industrial waste from the surrounding area, combined with the former use of improperly treated wastewater from the Paris region as fertilizer. The site includes two experimental fields with poplar plantations representing distinct stages of phytoremediation: a long-term stand installed 13 years ago, and a recently installed, one year old stand. The main objectives of this study are to 1) evaluate the contribution of poplar plantations to soil rehabilitation, 2) observe how contamination shapes key soil functions, and 3) assess the robustness of selected soil health indicators. To achieve these aims, it combines physicochemical indicators (pH, water holding capacity, soil texture, organic matter content), with biological indicators (extracellular enzymatic activity of hydrolases, cellulose degradation capacity, and soil respiration).  Enzymatic analyses include β-glucosidase (β-GLU), urease (URE), alkaline phosphatase (PAK), acid phosphatase (PHOS) and arylsulfatase (ARS) activity, serving as proxies for major nutrient cycles (C, N, P, S). Cellulose degradation capacity represents a cost-effective, accessible, comprehensive indicator of soil functionality. Lastly, soil contamination is studied through targeted analysis of heavy metals and non-targeted screening of organic micropollutants that provides a broader understanding of the complexity of the contamination profile. Overall, grounded in systematic monitoring and supported by the HE EDAPHOS and PROLIPHYT projects, this study provides insights into the relationship between phytoremediation, contamination, and soil functionality.

How to cite: Chatzimarinaki, C., Manier, N., Boisson, Y., Huynh, N., Chalot, M., and Ciadamidaro, L.: Long-Term Nature-Based Solutions: Poplar Phytoremediation Effects on Soil Contamination and Soil Functionality, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2978, https://doi.org/10.5194/egusphere-egu26-2978, 2026.

EGU26-3331 | ECS | Orals | SSS7.5

Decontamination and revalorization of Cu–Co polluted mine spoil heaps through magnetic soil washing 

Carlos Boente, Lorena Salgado, José Luis R. Gallego, Juan María Menéndez-Aguado, Ana M. Díaz, Santiago A. Romero-García, Yolanda Sánchez-Palencia, and José Eugenio Ortiz

Many historical copper and cobalt mining operations were abandoned before the implementation of modern mining and environmental regulations, leaving behind large volumes of unmanaged mine tailings with elevated metal concentrations in forms of spoil heaps. Today, these sites represent both a source of soil contamination and a potential secondary resource of critical and strategic raw materials.

This research explores the application of magnetic soil washing as an innovative strategy for the reclamation of these Cu–Co contaminated mine soils and tailings, while simultaneously exploring their potential revalorization within a circular economy framework. Soil washing is an ex-situ decontamination process based on concentrating pollutants into a smaller fraction of soil, leaving the matrix with a lower content of pollutants.

Particularly, the high-mountain Texeo copper–cobalt mine (Asturias, Spain) was studied as a representative example of such legacy mining facilities. The area hosts a sulphide-rich geological setting, where copper and cobalt mineralization is mainly associated with iron-bearing phases derived from hydrothermal processes.

Here, a systematic soil sampling campaign was first conducted to assess the spatial extent and intensity of metal contamination. After this preliminary campaign, two large samples from areas with high (>1500 ppm of Cu; > 230 ppm of Co) and low (>600 ppm of Cu; > 60 ppm of Co) concentrations were selected and gathered. Afterwards, laboratory-scale remediation tests were carried out using wet high-intensity magnetic separation (WHIMS) for two soil fractions: coarse-sandy (2000-500 µm) and silt/clays (<500 µm).

Magnetic soil washing was applied to these two particle-size fractions to assess the partitioning of Cu- and Co-bearing phases between magnetic and non-magnetic products. The process aims to concentrate metal-rich phases into a reduced volume, facilitating their potential recovery, while decreasing contaminant levels in the bulk soil material to support its reclamation. The results were also reinforced with a mineralogical analysis of samples through X-Ray Diffraction and SEM-BSE imagery.

Preliminary results reveal a pronounced preferential concentration of Cu and Co in the magnetic fractions, particularly within the fine-grained material, reflecting their strong association with iron-rich sulphide and oxide phases. The resulting non-magnetic products exhibit a marked reduction in metal content, supporting the technical feasibility of magnetic soil washing to decouple environmental risk from resource value. These findings position magnetic separation as a promising, non-chemical and potentially scalable remediation pathway capable of transforming contaminated mine spoil heaps from environmental burdens into strategic secondary resources.

How to cite: Boente, C., Salgado, L., R. Gallego, J. L., Menéndez-Aguado, J. M., Díaz, A. M., Romero-García, S. A., Sánchez-Palencia, Y., and Ortiz, J. E.: Decontamination and revalorization of Cu–Co polluted mine spoil heaps through magnetic soil washing, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3331, https://doi.org/10.5194/egusphere-egu26-3331, 2026.

EGU26-3723 | Posters on site | SSS7.5

Soil and military operations 

Miloslav Pekař, Vojtěch Enev, Michal Kalina, Martina Klučáková, David Širůček, and Petra Závodská

Soil, particularly in agricultural areas, may be impacted by military operations, nowadays even in Europe. An example is Ukraine which is also an important exporter of agricultural products and thus contributes to providing food for the world population.

Here we present results of an international project aimed at the monitoring of the state of agricultural land in Ukraine affected by military operations. Samples from 15 different locations were analyzed for the basic characterization of the soil organic matter. Content of the oxidizable carbon and the ratio of humic and fulvic acids were determined. Further, soil samples were subjected to thermogravimetric and infrared spectroscopy measurements. Quality or stability of soil organic matter was addressed using the respirometric technique as suggested by Kolář at al. [1, 2]. The results were compared with corresponding data from monitoring of Czech agricultural soils.

References

1. Kolář L., Klimeš F., Ledvina R., Kužel S. A method to determine mineralization kinetics of a decomposable part of soil organic matter in the soil. Plant Soil Environ. 49(1), 8-11 (2003).

2. Kolář L., Ledvina R., Kužel S., Klimeš F., Štindl P. Soil Organic Matter and its Stability in Aerobic and Anaerobic Conditions. Soil & Water Res. 1(2), 57-64 (2006).

Acknowledgement

This work was supported by The NATO Science for Peace and Security Programme, project Nr. G6296. https://land-security.org/.

How to cite: Pekař, M., Enev, V., Kalina, M., Klučáková, M., Širůček, D., and Závodská, P.: Soil and military operations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3723, https://doi.org/10.5194/egusphere-egu26-3723, 2026.

EGU26-4117 | ECS | Posters on site | SSS7.5

Trace Element Distribution at a Brownfield Site in Southern Illinois, USA 

Chase Howell, Eric C Brevik, David C Weindorf, Samuel Indorante, and Amanda Weidhuner

This study was conducted at a brownfield site in Carterville, Illinois, USA that was once an Illinois Ordnance Plant during World War II. The site was used for United States Army offices and ammunition manufacturing. After World War II, the site was turned over to Southern Illinois University to be used for vocational education and as a coal research facility. Over time, this location has experienced anthropogenic processes which have led to negative effects on the soil, including possible trace element contamination. According to US Soil Taxonomy, about 89% of the soils at the site are Epiaqualfs and Albaqualfs (Haplic Stagnosols and Planosols (Albic) in the World Reference Base (WRB)) while the other 11% are Hapludalfs and Fragiudalfs (Luvisols and Luvisols (Fragic) in WRB). This study was designed to examine the soils at the brownfield site for As, Cd, Cr, Cu, Hg, Ni, Pb, Sb, and Zn to determine whether they present human or environmental health concerns. Samples were collected with a hand probe from 130 locations at four depths (0-10, 10-20, 20-40, and 40-75 cm) in a grid. For part of the site, samples were collected at a density of 1.6 per ha, while the rest of the site was collected at 0.4 samples per ha. Air dried and ground (< 2 mm) samples were then scanned for 60 s each using an Evident Scientific Vanta Max portable X-ray fluorescence (PXRF) analyzer. Initial trace element pollution concerns were evaluated using the United States Environmental Protection Agency (EPA) Regional Screening Levels. Geographic information system interpolation maps were created to identify possible trace element hot spots. Using the screening levels, the majority of the trace elements analyzed are below the level of concern. However, As levels are higher than the EPA regulatory levels across the entire site. Cr levels exceed screening levels for Cr VI but are lower than allowed limits for Cr III. However, the PXRF does not allow for Cr speciation, so it is currently not known if Cr represents a concern. These results show that levels of As and Cr are a potential concern across the Carterville brownfield site due to anthropogenic pollution. Future research will investigate pollution indices to further codify potential negative human and environmental health impacts due to contamination at the site. 

How to cite: Howell, C., Brevik, E. C., Weindorf, D. C., Indorante, S., and Weidhuner, A.: Trace Element Distribution at a Brownfield Site in Southern Illinois, USA, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4117, https://doi.org/10.5194/egusphere-egu26-4117, 2026.

EGU26-4954 | Posters on site | SSS7.5

Enhancement of petroleum hydrocarbon adsorption performance by attapulgite modified biochar: Performance and mechanism analysis 

Yingqin Wu, Yuanyuan Shao, Wenyang Wang, and Longmiao Yuan

Two biochar-based adsorbents, namely original corn cob biochar (BC) and attapulgite (ATTP)-biochar composite (BA), were prepared via two-step pyrolysis at 400℃ and 700℃ under oxygen deficiency for petroleum hydrocarbons removal from water. Experimental results revealed that attapulgite modified the structure of biochar, increased the quantity of surface functional groups, and thereby significantly enhancing its adsorption capacity. Petroleum hydrocarbon adsorption experiments showed that adsorption kinetics was more accurately characterized by the pseudo-second-order model, and isothermal adsorption by the Freundlich model, supported by R2 and error analysis. This finding suggested that chemisorption through multi-molecular layers was the predominant mechanism of adsorption. Regarding the effect of pH, BC exhibited the maximum adsorption capacity under weakly acidic conditions (pH=5.0), while BA achieved optimal adsorption performance in neutral to weakly alkaline environments (pH=7.0-9.0), and BA exhibited an adsorption rate 41.8% higher than that of BC. In terms of salinity, it exerted a notable influence on the adsorption capacity of biochar; however, BA demonstrated superior adaptability over a wider salinity range (0.5% to 8.0%), and a 65.14% increase in overall adsorption efficiency compared to BC. Gas chromatography-mass spectrometry (GC-MS) and Fourier transform infrared spectroscopy (FTIR) indicated that the adsorption mechanism primarily encompassed surface adsorption, interfacial adsorption, micropore filling, hydrogen bonding, π-π bond interactions, and chelation effects. Additionally, specific redox reactions might have occurred alongside the adsorption process. In conclusion, this low-cost, environmentally friendly, and highly efficient carbon material held considerable promise for the removal of oil pollutants in saline-alkali environments.

How to cite: Wu, Y., Shao, Y., Wang, W., and Yuan, L.: Enhancement of petroleum hydrocarbon adsorption performance by attapulgite modified biochar: Performance and mechanism analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4954, https://doi.org/10.5194/egusphere-egu26-4954, 2026.

EGU26-5852 | ECS | Posters on site | SSS7.5

Accumulation of Mercury and Other Potentially Toxic Elements in Edible Plants Associated with Soil Contamination in Historic Mining Areas 

Nerea García-Donas Castillo, Jose Ignacio Barquero, Pablo Higueras, Judith Jaeger, Oscar Avalos, Feliciano Mbomio, and Aroa García-Donas

The Almadén area (Ciudad Real, Spain) is one of the world’s most important historic mercury mining districts, where centuries of extraction and processing have generated a persistent environmental legacy. Owing to its high toxicity, volatility, and long residence time in the environment, mercury remains a critical contaminant, particularly with respect to its mobility in soils and its transfer to biota and the human food chain.

In this context, the investigation of mercury and other potentially toxic elements in edible plant species is of particular relevance, as it provides insight into metal uptake mechanisms, bioaccumulation processes, and the potential environmental and health risks associated with plant consumption. Edible plants can act as effective bioindicators of soil contamination, offering valuable information on metal mobility, bioavailability, and exposure pathways affecting both ecosystems and human populations.

The main objective of this study is to assess the concentrations and distribution of mercury and other potentially toxic elements in edible plants from the Almadén area and to examine their relationships with soil physicochemical properties, in order to elucidate metal transfer processes within the soil–plant–atmosphere system, with special emphasis on Hg. Representative soil and plant samples are jointly analyzed, allowing comparisons among different plant species and sampling locations and enabling the identification of key factors controlling metal accumulation.

The results provide a robust basis for evaluating the risks associated with metal contamination in edible plants, identifying areas of increased environmental impact, and improving the environmental characterization of one of the most significant historic mining regions worldwide. In addition, this study contributes to the identification of plant species with a high capacity for metal accumulation, supporting the development of future strategies for environmental management, phytoextraction, and phytoremediation in contaminated soils.

How to cite: García-Donas Castillo, N., Barquero, J. I., Higueras, P., Jaeger, J., Avalos, O., Mbomio, F., and García-Donas, A.: Accumulation of Mercury and Other Potentially Toxic Elements in Edible Plants Associated with Soil Contamination in Historic Mining Areas, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5852, https://doi.org/10.5194/egusphere-egu26-5852, 2026.

EGU26-7195 | Orals | SSS7.5

In-situ geochemistry of arsenite remediation by nanozerovalent iron in an anoxic aquifer: field versus lab 

Geert Cornelis, Clara Kieschnik-Llamas, Carin Sjöstedt, Jon Petter Gustafsson, and Dan Berggren Kleja

Arsenic (As) contamination is widespread in soils throughout the world, but remediation options can be limited, especially in anoxic conditions where trivalent arsenite (As(III)) dominates As speciation in the pore solution. As(III) adsorbs weakly to most sorbents and thus spreads readily in anoxic aquifers. Several laboratory assays indicate that in suspensions of zerovalent iron (ZVI), dissolved As(III) can be immobilised in several ways including reduction to insoluble zerovalent As (As(0)) or physical encapsulation in neoformed iron oxides. We previously exposed soil suspensions from an anoxic aquifer, in which As(III) predominates in solution, to ZVI suspensions under anoxic conditions, and quantified As immobilisation kinetics as well as the molecular speciation of Fe and As using X-ray absorption spectroscopy (XAS). As(III) was immobilised by oxidation to pentavalent arsenate (As(V)) which sorbed strongly to these oxides.

The current study investigated the immobilisation mechanisms of As(III) following in-situ injection of polyacrylic acid-coated nano-sized ZVI in the same anoxic aquifer. As concentrations measured at different distances from ZVI injection showed a heterogeneous response where a retarded As reduction, i.e. only after a year of monitoring, was observed in only a selected few groundwater wells. Eh and pH were subsequently measured, 2 years after ZVI injection, as a function of depth and distance away from ZVI injection using dynamic groundwater sampling, and As speciation was determined in extracted porewaters. Moreover, intact cores were sampled using sonic drilling, and the molecular speciation of As and Fe were characterised as a function of depth using XAS.

Lower Eh and higher pH values were found in the field compared to the earlier lab studies on soil suspensions from the same aquifer. As(III) was also not oxidised to As(V). Instead, both XANES and EXAFS analysis suggested that zerovalent As was formed, albeit not homogeneously throughout the treated aquifer. Unexpectedly, ZVI still occurred in zerovalent form to a large part despite the high surface area of nano-sized ZVI. This study thus illustrates the difficulty of reproducing field conditions during laboratory experiments and the sensitivity of immobilisation to geochemical conditions in the field. Moreover, immobilisation as zerovalent As did not sufficiently reduce As(III) concentrations, which remained the predominant As species in most porewaters, most likely because of the observed heterogeneity of the ZVI distribution in the aquifer.

How to cite: Cornelis, G., Kieschnik-Llamas, C., Sjöstedt, C., Gustafsson, J. P., and Berggren Kleja, D.: In-situ geochemistry of arsenite remediation by nanozerovalent iron in an anoxic aquifer: field versus lab, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7195, https://doi.org/10.5194/egusphere-egu26-7195, 2026.

EGU26-7955 | Orals | SSS7.5

Tracing antibiotic fate and antimicrobial resistance dynamics across the manure–soil–plant continuum 

Fang Wang, Maria Heiling, Mariko Fujisawa, and Gerd Dercon

Antimicrobial resistance (AMR) represents a critical One Health challenge, linking human, animal, and environmental health. Agriculture, particularly the use of livestock manure as fertilizer, contributes significantly to the dissemination of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) through soils and crops, posing risks to food security and public health. This study integrates multiple experiments to elucidate the fate of antibiotics and the dynamics of ARGs across the manure–soil–plant continuum. Pot experiments with pig manure-amended soil revealed enriched ARGs in the carrot rhizosphere and phyllosphere. Manure application increased ARG bioaccumulation in carrot tubers (up to 124-fold for specific genes) and facilitated transfer from skin to tuber. Estimated daily human ARG intake from manured carrots reached ~3 × 107 copies, but peeling reduced this by 28–91%. Field-scale isotope tracing (13C-labeled sulfamethoxazole) in lettuce demonstrated rapid antibiotic dissipation in non-planted soils (>98% in 180 days), yet rhizosphere accumulation and root-to-leaf translocation. Co-application with swine manure amplified soil ARG abundance (up to 5.35-fold) and root enrichment (2.38-fold), driven primarily by MGEs. High-risk ARGs persisted in leaves despite low residues. In paddy fields, swine compost elevated ARG abundance in soil and rice roots over growth stages, with increased detection frequencies indicating transfer from compost and irrigation water. No significant ARG differences appeared in grains across treatments. Metagenomic analysis via 13C-DNA stable isotope probing distinguished antibiotic-degrading bacteria (ADB) from non-degrading ones in contrasting soils. ADB harbored diverse chromosomal ARGs co-localized with MGEs and degradation genes, suggesting high horizontal gene transfer potential and soil-specific resistome networks. Hydroponic lettuce studies showed that manure sterilization reduced endophytic ARG/MGE subtypes by 50–86%, diminished pathogenic bacteria, and lowered high-risk ARG intake, highlighting its efficacy for risk mitigation. These findings provide comprehensive evidence that manure application propagates AMR through synergistic antibiotic–fertilizer effects, MGE-mediated transfer, and plant uptake. Integrated management, including manure sterilization, peeling of root vegetables, and soil-specific strategies, is essential to mitigate risks at the human–animal–environment interface.

How to cite: Wang, F., Heiling, M., Fujisawa, M., and Dercon, G.: Tracing antibiotic fate and antimicrobial resistance dynamics across the manure–soil–plant continuum, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7955, https://doi.org/10.5194/egusphere-egu26-7955, 2026.

EGU26-7981 | Posters on site | SSS7.5

Biogeochemical Cycling of Selected PFAS Compounds in Tennessee Loring Silt Loam, Insights from in situ-ATR-FTIR Probes 

Sudipta Rakshit, Donna Blankenship, and Chandra Reddy

 

Polyfluoroalkyl Substances (PFAS) is a general class of organic compounds used for various industrial and household purposes including as a fire retardant.  Because of their extreme structural stability under various conditions, PFAS compounds are known to persist in the environment causing toxicity to higher animals including humans. Both US EPA and EU set the maximum contaminant levels of PFAS in water ranging from 10-100 ppt.  Soil is an important source and sink for PFAS compounds and adsorption is known to be an important process regulating the fate of these compounds.  Thus, it is important to evaluate adsorption mechanisms of PFAS compounds on soil.  Although various research studies focused on PFAS adsorption on soil, the application of detailed spectroscopic probes to isolate the mechanisms is rare.  Here we propose to examine adsorption mechanism of selected PFAS compounds (PFOS: Perfluorooctanesulfonic acid and PFOA: Perfluorooctanoic acid) on a Tennessee native soil, Loring silt loam (Oxyaquic Fragiudalfs) using in situ attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopic probes under various solution properties. Since soil mineralogy plays a dominant role in surface interactions with organic molecules, PFOS and PFOA adsorption mechanisms on kaolinite, an important mineral in Loring silt loam, have been studied as well.  Our initial findings suggested that PFOS makes an outer-sphere surface complex with Loring silt loam at pH 5 and ionic strength of 0.01 M NaCl.  When inorganic P (Pi) was added, infrared (IR) bands relevant to PFOS adsorption decreased and some evidence of IR bands pertaining to Pi appeared, thereby corroborating outer-sphere adsorption.  Adsorption of POFA on Loring soil indicated a similar outcome.  Our results will help understand the mechanisms of biogeochemical cycles of PFAS compounds in the soil environment. 

How to cite: Rakshit, S., Blankenship, D., and Reddy, C.: Biogeochemical Cycling of Selected PFAS Compounds in Tennessee Loring Silt Loam, Insights from in situ-ATR-FTIR Probes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7981, https://doi.org/10.5194/egusphere-egu26-7981, 2026.

EGU26-8050 | ECS | Orals | SSS7.5

Integrated Assessment of Mercury Cycling in Pinus pinea: From Soil Re-emission and Nocturnal Atmospheric Accumulation to Foliar Immobilization 

Oscar Avalos, Jose Ignacio Barquero Peralbo, Pablo Leon Higueras Higueras, and Federica Meloni

The Mining District of Almadén (Spain) provides a valuable natural setting for studying the biogeochemical behavior of mercury (Hg) under conditions shaped by long-term, legacy contamination. This study presents an evaluation of the Hg cycle through the simultaneous characterization of soils, atmospheric dynamics and Pinus pinea tissues (leaves and bark). The results reveal that, although soils present extreme concentrations (range: 2.9 – 123 mg kg-1 dominated by stable species (α-cinnabar), there is a critical labile fraction associated with organic matter and metacinnabar that acts as a continuous source of re-emission. Mobile monitoring demonstrated a drastic dichotomy in total gaseous mercury (TGM) levels, identifying nighttime atmospheric stability as the main forcing mechanism for Hg accumulation in the tree canopy. Pyrolytic speciation in vegetation revealed a functional divergence between tissues: the cortex acts as a passive physical trap for cinnabar and Hg2+ while the needles function as active physiological sinks of gaseous Hg0, validating an intracellular immobilization mechanism. Lastly, data integration indicates that the pine tree functions as a "biological pump" that recirculates atmospheric mercury into the soil; however, this cycle is disrupted in urban settings by street cleaning and management, which attenuates the soil burden in comparison to natural systems; and by wind driven atmospheric dilution.

How to cite: Avalos, O., Barquero Peralbo, J. I., Higueras Higueras, P. L., and Meloni, F.: Integrated Assessment of Mercury Cycling in Pinus pinea: From Soil Re-emission and Nocturnal Atmospheric Accumulation to Foliar Immobilization, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8050, https://doi.org/10.5194/egusphere-egu26-8050, 2026.

Biochar is a carbon material that can be produced from renewable biomass and has been primarily used in soil remediation and regarded as a functional carbon material due to its cost-effective and environmentally friendly characteristics. Aside from the primary aim of pollution remediation, biochar in this study was prepared using the invasive plant Leucaena leucocephala to achieve the forest conservation goal. Biochar was sequentially modified by acid washing followed by iron loading. The textural properties were enhanced, raising the BET surface area from 68 to 102 m2/g and improving pore volume 266%. Magnetically iron-modified biochar (Fe-ATB) achieved efficient phosphate recovery, exhibiting a 17-fold increase in binding affinity over pristine biochar. Magnetite formation (∼31% Fe oxide) enabled high magnetic recovery efficiencies in both aqueous (96.0%) and soil (91.2%) systems, supporting its economic viability for reusable adsorption cycles. Further research will be conducted on an emerging contaminant, Ibuprofen (IBP), using green waste from mixed wood as the source of biochar, adopting a more sustainable approach. To enhance IBP adsorption and degradation, additional modification of microbe loading will be applied to Fe-ATB. Out of 27 bacterial strains tested, six strains including Cellulosimicrobium funkei, Promicromonospora thailandica, Serratia marcescens, Bacillus aryabhattai, Sphingorhabdus buctiana, and Gordonia terrae exhibited high IBP tolerance up to 500 mg kg-1. Therefore, applying iron-modified and microbe-loaded biochar is expected to improve IBP degradation, adsorption, and overall removal efficiency in IBP-contaminated soil and water, while facilitating magnetic separation and circular utilization, thereby contributing to sustainable remediation strategies.

How to cite: Jien, S.-H. and Maisyarah, S.: Engineering Iron–Microbe Interfaces on Biochar to Regulate Phosphate Fixation and Ibuprofen Retention across Soil–Water Continua, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9052, https://doi.org/10.5194/egusphere-egu26-9052, 2026.

Anaerobic paddy soils are a major source of methane (CH4) emissions. When the soil is contaminated with arsenic (As), the reducing environments favor the predominance of the highly mobile and toxic As(III). This indicates that flooded paddy soils can simultaneously pose risks associated with greenhouse gas emissions and As toxicity. Sulfate-reducing bacteria (SRB) compete with methanogens for electron donors, while the sulfide produced during sulfate reduction can react with As to form stable As-sulfide phases. Therefore, this study aimed to evaluate the simultaneous mitigation of CH4 emissions and immobilization of As in paddy soils by applying sulfate-based amendments, including ammonium sulfate (NS), iron sulfate (FS), or potassium sulfate (KS). Ten grams of soil were treated with 0.3% NS, FS or KS, with untreated soil used as a control. The soil was amended with either 30 mL of 1000 mg/L deionized water or As(V) solution, and incubated under N2-purged anaerobic conditions at 25°C in the dark. Greenhouse gas emissions were monitored and As concentration and speciation in soil solution were analyzed. Ammonium sulfate, FS, and KS reduced CH4 emissions by 95.6%, 81.4%, and 94.2%, respectively, compared with the control under deionized water conditions, while under As solution conditions, CH4 reduction reached 100% for NS and KS, and 21.3% for FS. At the same time, total As immobilization increased by 26.9%, 31.2%, and 7.23% compared with the control, and the reduction of As(V) to As(III) was suppressed by 55.0%, 19.3%, and 100% in the NS, FS, and KS treatments, respectively. Iron sulfate was less effective at CH4 mitigation than NS and KS because Fe acted as an additional electron donor, enhancing methanogenesis. In addition, FS induced the strongest reduction of As(V) to As(III) through active Fe redox reactions, but showed the highest total As immobilization. Dehydrogenase activity followed the order NS > FS > KS under both deionized water and As solution conditions, likely because NS supplies both sulfate and readily available nitrogen, strongly stimulating microbial metabolic activity. Overall, sulfate-based amendments effectively suppressed CH4 emissions and enhanced As immobilization in paddy soils by stimulating SRB-driven processes. These results indicate that sulfate-based amendments represent a promising strategy for simultaneously mitigating greenhouse gas emissions and As risks in rice paddy systems.

 

Acknowledgments

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (RS-2024-00414790).

How to cite: Kim, H. and Park, J. H.: Stimulating sulfate reducing bacteria by sulfate-based amendments to reduce methane emissions and immobilize arsenic in paddy soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10550, https://doi.org/10.5194/egusphere-egu26-10550, 2026.

EGU26-11836 | ECS | Posters on site | SSS7.5

Ecotoxicity of Selected Pharmaceuticals and Their Effects on Soil Microbiota 

Alejandro Alejos-Campo, Eva Fernéndez-Gómez, Rosa Rentería, Luis Roca-Pérez, Borja Mercado, Oscar Andreu, and Rafael Boluda

The UN, through the FAO and UNEP, emphasizes that soil health is vital for food production, with 95% of food deriving from soil. However, one-third of global soils are already degraded, posing a threat to food security and nutrition. Emerging contaminants, such as pharmaceutical products (PPs), are now continuously detected in water, soils, food, animals, and plants. Their increasing presence in agricultural soils is of particular concern. Nevertheless, scientific evidence regarding the ecotoxicity of PPs and their impact on soil ecosystem functions—processes in which soil microbiota play a crucial role—remains scarce. This study aimed to determine and evaluate the toxic effects of four pharmaceuticals—the antiseptic chlorhexidine, the antibiotic sulfadimethoxine, the anticonvulsant sodium valproate, and the steroidal anti-inflammatory prednisolone—on soil microbiological activity using standard ecotoxicity tests. The experiment included the following assays: OECD TG 216 (Soil Microorganisms: Nitrogen Transformation Test); OECD TG 217 (Soil Microorganisms: Carbon Transformation Test); and ISO 18187:2018 (Soil quality – Contact test for solid samples using the dehydrogenase activity of Arthrobacter globiformis). The results indicated that, at the tested doses, these PPs did not significantly reduce the overall microbiological activity of the reference soil, suggesting an EC50 greater than 100 mg kg⁻¹ for these compounds. Soil nitrifying activity was highly variable; however, sulfadimethoxine was the only compound found to inhibit nitrification after 28 days of incubation. In contrast, chlorhexidine exhibited a clear toxic effect on the dehydrogenase activity of A. globiformis. This finding implies that environmental consequences could be significant if chlorhexidine is present at relatively high concentrations in soils. Our results suggest that natural biodegradation by soil microorganisms is key to mitigating the toxic effects of the studied pharmaceuticals. Further research is necessary to investigate potential cumulative, synergistic, and long-term environmental impacts.

How to cite: Alejos-Campo, A., Fernéndez-Gómez, E., Rentería, R., Roca-Pérez, L., Mercado, B., Andreu, O., and Boluda, R.: Ecotoxicity of Selected Pharmaceuticals and Their Effects on Soil Microbiota, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11836, https://doi.org/10.5194/egusphere-egu26-11836, 2026.

EGU26-11874 | Orals | SSS7.5

Soil organic matter decomposition as a key driver of pharmaceutical retention 

Zoltán Szalai, Lili Szabó, Atilla Csaba Kondor, Anna Vancsik, Csilla Király, Colin Booth, and László Bauer

Human activities release Pharmaceutically Active Compounds (PhACs) onto arable land, where they can accumulate and disrupt the ecological balance. The soil’s microbial community continuously alters the composition of organic matter, as it serves as the primary source of nutrients for this matter. The quality and quantity of organic matter may vary even within a single vegetation period. Observing the extent of transformation in the different phases is essential, as organic matter is primarily responsible for the soil’s ability to retain micropollutants. An incubated sorption experiment was conducted to simulate a vegetation period using a Phaeozem, examining this question. Enzyme activity results indicate that the microbial community transforms soil organic matter, reducing its quantity and thus its ability to retain PhACs. At the beginning of the incubation period, among the physicochemical properties of PhACs, the H-donor/acceptor counts and the size of their van der Waals surface area were the determining factors in the sorption processes. At the end of the incubation period, due to the reduction in organic matter and the transformation of functional groups, the adsorbed PhACs decreased significantly, while desorption increased because electrostatic interactions began to dominate the sorption processes. Consequently, the mobility rate of the PhACs with hydrophobic properties may increase in the arable land by the end of the vegetation period. The primary properties of PhACs identified should be considered when assessing soil persistence. It’s vital to account for the temporal evolution of soil conditions and avoid relying on a single observation, as this only partially represents the soil’s actual state.

The presentation is based on a paper with the title published in the Journal of Environmental Management.

Funding: National Research, Development and Innovation Office K142865 and DKOP- 23_03, Bolyai Research Scholarship (BO/00 199/25/10)

How to cite: Szalai, Z., Szabó, L., Kondor, A. C., Vancsik, A., Király, C., Booth, C., and Bauer, L.: Soil organic matter decomposition as a key driver of pharmaceutical retention, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11874, https://doi.org/10.5194/egusphere-egu26-11874, 2026.

EGU26-12333 | ECS | Orals | SSS7.5

Enhancing arsenic phytoremediation through graphene oxide–induced mobilization in polluted mining soils 

Bryan Salgado-Almeida, Salvador Sánchez, Aida González, José Luis R. Gallego, Edgar Berrezueta, and Diego Baragaño

Soil contamination derived from abandoned mining sites represents one of the most persistent environmental threats in Europe and worldwide. In regions such as the Principality of Asturias (NW Spain), historical mercury mining has generated large areas of affected sites, where soils exhibit high concentrations of arsenic (As) and mercury (Hg). In recent years, the use of engineered nanomaterials has emerged as a promising approach to modify contaminant mobility in soils, either by enhancing immobilization or by improving extractability. However, significant uncertainties remain regarding the behavior of metalloids such as arsenic (As), whose interactions with soil minerals may differ substantially when nanomaterials are introduced. This study evaluates whether graphene oxide (GOx) can enhance As phytoremediation, focusing on plant uptake and accumulation in a mining polluted soil. A pot experiment was conducted using soil (S) from El Terronal, an abandoned mining site, and soil amended with 1% GOx nanoflakes (SGO). Eupatorium cannabinum plants were transferred to the pots (n = 10 per treatment) and grown for 7 and 30 days. Plant performance (biomass, shoot/root length) and As concentration and speciation in tissues were determined. Soil physicochemical properties, total concentration, As availability (TCLP), and As fractionation (Wenzel method) were analysed.

GOx significantly modified As dynamics in the soil-plant system. Leaching tests revealed higher As release in GOx-amended soils, likely due to FeOOH dissolution and reduction, as well as protonation of GOx under acidic leaching conditions (soil pH decrease after GOx application). Plant uptake showed that GOx enhanced As retention in roots, promoting phytostabilization rather than phytoextraction. After 30 days, As concentration in roots increased markedly in SGO (442 mg kg⁻¹; As(III): 11.1%) compared to S (38.5 mg kg⁻¹; As(III): 5.4%). Shoots also showed higher As content in plants growing in the SGO treatment (73.0 mg kg⁻¹; As(III): 15.8%) than in S (21.3 mg kg⁻¹; As(III): 11.6%). However, translocation factors (TF) remained <1 in all cases (S: 0.76; SGO: 0.17), indicating restricted movement of As to aerial tissues. Bioaccumulation factors (BAF) exceeded 1 in both soils and increased under GOx (S: 1.96; SGO: 3.94), reflecting enhanced As accumulation rather than translocation.

Overall, GOx enhanced arsenic accumulation in roots, highlighting its potential for phytostabilization-based remediation strategies. These results provide important insights into the behavior of GOx in real contaminated soils and emphasize the evaluation of nanoremediation technique as post-mining soil restoration solution.

References:

[1] Baragaño, D., Forján, R., Welte, L., & Gallego, J.R. (2020). Nanoremediation of As and metals polluted soils by means of graphene oxide nanoparticles. Scientific Reports 10(1), 1896

[2] Peña-Álvarez, V., Baragaño, D., Prosenkov, A., Gallego, J.R., Peláez, A.I. (2024). Assessment of co-contaminated soil amended by graphene oxide : effects on pollutants, microbial communities and soil health. Ecotoxicology and Environmental Safety 272, 116015.

Acknowledgements:
This work was funded by the research project RESIST, PID2024-160647OB-I00 (MICIU/AEI/10.13039/501100011033/FEDER, EU). Bryan Salgado-Almeida acknowledges the Spanish National Research Council for the "JAE Intro ICU 2025" fellowship (Ref. CN-IGME-03).

How to cite: Salgado-Almeida, B., Sánchez, S., González, A., Gallego, J. L. R., Berrezueta, E., and Baragaño, D.: Enhancing arsenic phytoremediation through graphene oxide–induced mobilization in polluted mining soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12333, https://doi.org/10.5194/egusphere-egu26-12333, 2026.

EGU26-13201 | ECS | Orals | SSS7.5

Nickel phytoextraction by Typha domingensis in lateritic mining residues: first insights from a field trial 

Yuri Castilho, Amanda Duim Ferreira, Amanda Varussa, Thomas Trentin, Dougas Gomes Viana, and Tiago Osório Ferreira

The global energy transition is expected to substantially increase the demand for critical metals, particularly nickel, which plays a key role in the production of batteries for electric vehicles. This growing pressure on mineral resources also leads to the generation of large volumes of mining residues, raising concerns about soil contamination and long-term environmental impacts. Nature-based solutions, such as phytomining / agromining, have emerged as promising strategies to both mitigate soil contamination and promote the recovery of valuable metals from mining wastes.

In this study, we investigate the potential of Typha domingensis for nickel phytoextraction from lateritic nickel mining residues, predominantly composed of nickel-bearing goethite. A field experiment was established with four treatments and four replicates: (i) fertilised control, (ii) fertilisation combined with citric acid addition, (iii) fertilisation combined with microbial inoculation, and (iv) fertilisation combined with both microbial inoculation and citric acid. Plants are cultivated for 120 days to maximise their metal translocation potential to aboveground biomass, representing the first of three planned cutting cycles per year.

The experimental design aims to evaluate how organic acids and microorganisms may enhance nickel bioavailability and plant uptake under field conditions, and also test a non-hyperaccumulator plant as a phytoextractor. Plant biomass from the first harvest will be collected in March 2026, and plant tissues will be analysed for nickel concentration following microwave-assisted acid digestion (EPA 3052) and analysis by ICP-OES.

This contribution presents the experimental framework and first insights from the ongoing field trial, highlighting its relevance for the assessment of cost-effective and scalable remediation strategies for nickel-contaminated soils and mining residues. By integrating phytoextraction into the broader context of the energy transition, this study contributes to the discussion on sustainable land management and the reuse of mining wastes through nature-based solutions.

How to cite: Castilho, Y., Duim Ferreira, A., Varussa, A., Trentin, T., Gomes Viana, D., and Osório Ferreira, T.: Nickel phytoextraction by Typha domingensis in lateritic mining residues: first insights from a field trial, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13201, https://doi.org/10.5194/egusphere-egu26-13201, 2026.

This study combines batch adsorption experiments and surface complexation modelling to investigate the interactions of arsenate [As(V)] and arsenite [As(III)] with agricultural soils from an arsenic (As) contaminated district of Punjab, India. Batch adsorption studies were conducted to investigate the impact of contact time, As loadings, ionic strength and solution pH on As retention under conditions representative of the regional environment. As adsorption was significantly higher in surface soil layers than in bottom layers, largely due to variations in surface area, organic matter content, pH, and mineralogical components. Experimental data were interpreted using a generalized composite triple layer model (GC-TLM), representing the average surface reactivity of the natural soil assemblage. Modelling results indicate that As(V) predominantly forms inner-sphere surface complexes, whereas As(III) forms both inner and outer-sphere complexes. The model successfully reproduced adsorption isotherms and pH-edge behaviour within reasonable RMSE, demonstrating its applicability to natural soils. These findings improve the mechanistic understanding of As-soil interactions and provide a basis for predicting As mobility in agricultural soils of Punjab.

How to cite: Nazir, H. and Moozhikkal, R.: Arsenic Interactions in Agricultural Soils from Punjab, India: Insights from Triple Layer Surface Complexation Modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13204, https://doi.org/10.5194/egusphere-egu26-13204, 2026.

EGU26-13500 | ECS | Posters on site | SSS7.5

Urban legacy pollution: Novel techniques for phytoremediation of marginal brownfield sites 

Aakash Basi, Liz Hamilton, and Lesley Batty

Urban soils often retain heavy metal contamination from historical industrial activity, leading to long-term degradation of soil and water quality. Conventional remediation approaches, including physical removal and chelate-assisted phytoextraction, are often expensive, disruptive, and limited in their capacity to restore ecological function. This research investigates the potential of co-planted systems to enhance both contaminant removal via phytoextraction and ecological recovery. Greenhouse and in-situ trials employing four hyperaccumulator species (Helianthus annus, Zea mays, Trifolium pratense, Lolium perenne) compare co-planted assemblages with monocultures to assess effects on plant growth, heavy metal uptake, and soil chemistry. Salix viminalis was also included as a companion plant due to previous evidence of woody species facilitating growth and heavy metal uptake. By examining differences in growth rates, plant tissue heavy metal concentration and root exudate composition between monocultures and co-planting treatments the project seeks to identify synergistic mechanisms that promote effective remediation while supporting ecosystem resilience.

Early greenhouse trials have demonstrated that heavy metal uptake (figure 1), soil acidity and total organic carbon (TOC) of root exudates can be increased in co-planted treatments. For example, non-purgeable organic carbon (NPOC) increased in Helianthus annus root exudates from 2ppm to 7ppm when planted with Salix viminalis.   However, the differences are not universal; introducing Lolium perenne increased Ni uptake for plots with Zea mays (0.011mg/kg/day to 0.057mg/kg/day), whereas it inhibited Ni uptake for Helianthus annus (0.81mg/kg/day to 0.21mg/kg/day). As root exudates are often composed of organic and amino acids, they have potential to significantly affect both the soil microbiome and heavy metal mobility. Therefore, ongoing investigations will observe the plant physiological mechanisms affecting heavy metal mobility in soils, by identifying key metabolites in root exudate samples and their release in co-planted treatments versus monocultures.

Ultimately, this work demonstrates how diverse planting strategies can improve heavy metal uptake of remediator species whilst increasing soil nutrient content and enhancing ecosystem multifunctionality. The findings thus far have indicated a complex network of plant-plant and plant-soil interactions with practical implications for scalable, low-cost land management practices in urban areas – For instance, pairing Zea mays with Lolium perenne and woody species in marginal industrial areas, to increase Ni uptake and soil carbon.

 

 

Figure 1 – Results from preliminary ICP-OES detection for Nickel concentration in leaf material of Zea maize when cultivated in monocultures, compared to co-planted with Helianthus annus or Lolium perenne. Units are mg/kg/day to show rate of nickel accumulation over time.  

 

 

How to cite: Basi, A., Hamilton, L., and Batty, L.: Urban legacy pollution: Novel techniques for phytoremediation of marginal brownfield sites, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13500, https://doi.org/10.5194/egusphere-egu26-13500, 2026.

EGU26-13586 | ECS | Orals | SSS7.5

Tracking the mechanisms of natural assimilation of metal contaminations at the micro-scale: a pilot study 

Pierre Lefebvre, Yao Yao, Barbara Umfahrer, Detlef Günther, and Ruben Kretzschmar

How reactive is a new metal contamination compared to the same metal already present in a soil? After a contamination event, upon hydrological fluctuations and associated redox variations, natural processes of redistribution and mineral transformation impact the speciation of the allochthonous metal input, thus affecting its (bio)availability and toxicity. This may lead to homogenization of the total metal pool of the soil with respect to the autochthonous metal, or to a shift in the total metal reactivity and associated risk. Because the terms “redistribution” or “natural attenuation” do not properly catch the meaning of this concept, the new term “natural assimilation” is proposed, that encompasses both the spatial redistribution and the parallel change in speciation of an allochthonous metal input in a soil that already contains a given amount of the same metal (autochthonous). Although such processes have been relatively well studied at the bulk soil scale, little is known about how the new metal input behaves compared to the preexisting soil metal pool at the microscopic scale, mainly because of technical difficulties in distinguishing autochthonous and allochthonous metal phases at that micro-scale.

Here, we are developing a methodology to allow such a distinction, by using isotope tracers to differentiate two metal pools in the soil, and combining spatially resolved analysis of the metal source proportions (isotope ratios mapped by laser ablation-inductively coupled plasma-mass spectrometry, LA-ICP-MS) and of the metal speciation (by synchrotron-based micro-X-ray absorption spectroscopy). In this pilot study, we performed laboratory incubations of natural soils already rich in iron (Fe) and zinc (Zn), in which isotopically labelled Zn-ferrihydrite (enriched in 57Fe and 68Zn) was amended. We then exposed the soil microcosms to wetting-drying cycles over several months in order to trigger redox fluctuations and subsequent Fe and Zn redistribution and transformation. Our preliminary 57Fe Mössbauer spectroscopy data shows significant oscillations of the Fe oxidation state along with redox cycles. In parallel, we observe mineral transformation and reductive dissolution of the Zn-ferrihydrite within a few weeks along with Fe and Zn release into the soil solution. Thin sections of the reacted soils will first be mapped by micro-XANES at the Fe and Zn K-edges to determine the Fe and Zn speciation with a spatial resolution, and subsequently by LA-ICP-TOF-MS to determine the Fe and Zn source distribution.

This project is expected to create a proof-of-concept applicable to many environmental systems and experimental setups, opening new avenues of research on the fate of metallic elements in soils and sediments, with a focus on the differential reactivity of several sources of the same metal.

How to cite: Lefebvre, P., Yao, Y., Umfahrer, B., Günther, D., and Kretzschmar, R.: Tracking the mechanisms of natural assimilation of metal contaminations at the micro-scale: a pilot study, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13586, https://doi.org/10.5194/egusphere-egu26-13586, 2026.

EGU26-15856 | ECS | Posters on site | SSS7.5

Intercropping Sedum alfredii and Pseudostellaria heterophylla to mitigate heavy metal stress in contaminated soil 

Zekai Pi, Wenhui Yan, and Charles Wang Wai Ng

Heavy metals (HMs) contamination in agricultural soil interferes with vital plant physiological processes, significantly constraining the growth of medicinal plant Pseudostellaria heterophylla (P. heterophylla). To mitigate HMs stress, Sedum alfredii (S. alfredii) has been applied as an efficient hyperaccumulator for phytoremediation. However, intercropping S. alfredii with P. heterophylla and the associated soil hydrochemical properties responses remain largely unknown. This study aims to mitigate the stress of HMs, i.e., Lead, Cadmium and Copper, in the contaminated soil by intercropping S. alfredii and P. heterophylla. The growth of P. heterophylla will be evaluated with leaf and root development, and HMs removal efficiency will be analysed with the concentrations of HMs in plant tissues and residual soil. Additionally, soil hydrochemical properties will be measured. This study will elucidate how intercropping S.alfredii and P. heterophylla influences soil HMs bioavailability by affecting soil hydrochemical properties. A clear and detailed description of the experiment and measurements will be provided, and the results will be carefully analysed to identify key findings, explain underlying mechanisms, and highlight new insights.

The authors would like to acknowledge the financial support provided by the State Key Laboratory of Climate Resilience for Coastal Cities (ITC-SKLCRCC26EG01) and the Research Grants Council of HKSAR (C5033-23G).

How to cite: Pi, Z., Yan, W., and Ng, C. W. W.: Intercropping Sedum alfredii and Pseudostellaria heterophylla to mitigate heavy metal stress in contaminated soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15856, https://doi.org/10.5194/egusphere-egu26-15856, 2026.

EGU26-16187 | ECS | Posters on site | SSS7.5

Evaluating Post-Tin Mining Soil Regeneration and Heavy Metal Immobilization in Spinach (Amaranthus sp.) Using Biochar and Compost as Soil Amendments 

Novita Dyah Pitaloka, Rizki Maftukhah, Fanti Rahmawati, Sausan Arieqa Arundanti, Tri Wahyuni, Ngadisih Ngadisih, Cahyo Wulandari, and Katharina Maria Keiblinger

Tin mining activities in Bangka Regency, Indonesia have left behind severely degraded landscapes characterized by low nutrient availability and heavy metal contamination. Despite these constraints, post-mining soil has the potential for conversion into productive agricultural areas that could contributes to local food security. The utilization of post-mining soils for crop production such as leafy vegetables (spinach), can be achieved through the use of soil amendments that can improve soil fertility and bind heavy metals. The present study investigated the effects of rice husk biochar and compost amendments on soil properties, plant growth, and heavy metal uptake in spinach (Amaranthus sp.) through a pot experiment using various amendment doses. Soil parameters analyzed included pH, total nitrogen (N), available phosphorus (P), exchangeable potassium (K), organic carbon (C), lead (Pb), and cadmium (Cd). Plant responses were assessed based on plant height, fresh biomass, leaf area, SPAD chlorophyll index, and Pb concentration in leaves. The results indicated that the combined application of compost and biochar significantly increased soil pH, total N, and organic C. This treatment also markedly improved spinach growth, as indicated by greater plant height and fresh biomass yield. Biochar application alone was more effective in reducing heavy metal concentrations in soil, while the combined application of biochar and compost was more effective in decreasing Pb accumulation in spinach leaves. These findings highlight the potential of integrated biochar and compost as strategy for improving soil health and mitigating heavy metal risks in post-tin mining soils.

How to cite: Pitaloka, N. D., Maftukhah, R., Rahmawati, F., Arundanti, S. A., Wahyuni, T., Ngadisih, N., Wulandari, C., and Keiblinger, K. M.: Evaluating Post-Tin Mining Soil Regeneration and Heavy Metal Immobilization in Spinach (Amaranthus sp.) Using Biochar and Compost as Soil Amendments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16187, https://doi.org/10.5194/egusphere-egu26-16187, 2026.

EGU26-17404 | ECS | Posters on site | SSS7.5

Temporal Dynamics of Heavy Metal Uptake and Food Safety Risk in Cassava Grown on Rehabilitated Post-Tin Mining Soils 

Rizki Maftukhah, Axel Mentler, Novita Dyah Pitaloka, Ngadisih Ngadisih, Murtiningrum Murtiningrum, Rebecca Hood-Nowotny, and Katharina Keiblinger

Post-tin mining soils are highly degraded environments that often contained elevated concentrations of potentially toxic elements, posing persistent risks to food safety when reused for agriculture. This four-year field experiment evaluates whether soil amendment strategies can promote soil regeneration while reducing heavy metal transfer to major staple crop, cassava (Manihot esculenta Crantz). Six treatments were established in an intercropped plot system with legume species: control (no amendment), dolomite, compost, charcoal, charcoal + compost, and charcoal + sawdust. Temporal changes in soil pH and soil organic carbon (SOC) were monitored as key indicators of soil recovery. Cassava yield was measured, and Pb, Cd, and As concentrations in cassava edible part were analysed to trace the temporal changes in heavy metal uptake. All amended treatments showed progressive increases in soil pH and SOC over the four-year period, indicating gradual recovery of soil chemical quality of post-tin mining soils. Cassava yield increased accordingly, with the charcoal + compost treatment consistently producing the highest yields. From a food safety perspective, Pb, Cd, and As concentrations in cassava tissues exhibited a clean declining trend all treatments through time, demonstrating a temporal reduction in metal bioavailability and plant uptake. The strongest decreases in tissue metal concentrations were associated with treatments that most effectively increased SOC and stabilized soil pH. This long-term case study demonstrates that targeted soil rehabilitation strategies can mitigate contamination risks while restoring agricultural function to post-mining soils. Tracing soil regeneration alongside temporal patterns of plant tissue contamination provides a robust framework for evaluating the food safety of mining-impacted lands and supports sustainable land management.

How to cite: Maftukhah, R., Mentler, A., Pitaloka, N. D., Ngadisih, N., Murtiningrum, M., Hood-Nowotny, R., and Keiblinger, K.: Temporal Dynamics of Heavy Metal Uptake and Food Safety Risk in Cassava Grown on Rehabilitated Post-Tin Mining Soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17404, https://doi.org/10.5194/egusphere-egu26-17404, 2026.

EGU26-17884 | ECS | Posters on site | SSS7.5

Long-term efficiency of metal immobilization by soil amendments in a metal contaminated area in Austria 

Ferdinand Hartmann, Flora Brumen, Gerhard Soja, Maria Rechberger, Mika Radke, Veronika Jedlaucnik, and Markus Puschenreiter

The presence of non-essential metals threatens agricultural productivity and food safety in many regions of Europe, particularly where historical contamination coexists with ongoing land use. Gentle remediation options, such as soil amendments coupled with appropriate vegetation, offer cost-effective and environmentally compatible means to reduce metal mobility and exposure risk, while restoring safe, productive use on contaminated land. Within this context, this study investigated a historically metal-impacted field in Arnoldstein (Carinthia, Austria) to assess amendment-driven immobilization and its persistence over time.

Arnoldstein has a long history of Pb-Zn mining and smelting dating back to the 15th century. Despite the smelter’s closure in 1992, elevated Cd, Pb and Zn concentrations remain in the topsoil in the surrounding area, exceeding national assessment values for agricultural and horticultural use and constraining safe biomass production.

Building on prior studies that tested various amendments, a field experiment was established in Arnoldstein in 2013-2014 to compare an organic (poplar N-enriched biochar, P-BC), a mineral amendment (gravel sludge plus iron oxide, GSFe), and their combination (P-BC + GSFe) for aided phytostabilisation using Miscanthus x giganteus. Amendments were applied at a rate of 1% (w/w) to a depth of 10 cm. Across treatments, NH4NO3-extractable Cd, Zn and Pb in the amended topsoil were significantly reduced relative to control. Metal concentrations in miscanthus shoots remained low and were largely unaffected by treatment, indicating limited translocation despite improved immobilization in soil.

Within the Interreg project “PoLaRecCE”, the site was revisited in autumn 2024, after a decade without active management, to evaluate the long-term performance of the soil amendments. Resampling showed that reduced bioavailability of Cd, Zn and Pb persisted, demonstrating durable field-scale immobilization beyond short-term effects under real field conditions without intensive management. The current phase extends the assessment to soil health indicators to evaluate broader functional recovery.

How to cite: Hartmann, F., Brumen, F., Soja, G., Rechberger, M., Radke, M., Jedlaucnik, V., and Puschenreiter, M.: Long-term efficiency of metal immobilization by soil amendments in a metal contaminated area in Austria, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17884, https://doi.org/10.5194/egusphere-egu26-17884, 2026.

EGU26-18754 | Posters on site | SSS7.5

The duality between critical raw material recovery and the restoration of mining waste dumps 

Diego Baragaño, Bryan Salgado, Salvador Sánchez, Gildas Ratié, Edgar Berrezueta, Julio César Arranz, Jorge Fernández, and Maria Antonia López-Antón

The mining industry constitutes a fundamental pillar of modern society and has gained increasing strategic relevance in the current geopolitical context. The growing demand for critical raw materials should not be limited to the exploration of new geological deposits, but should also incorporate alternative and innovative approaches such as urban mining, recycling, and waste valorisation.

Traditionally, mining wastes have been accumulated in waste dumps, often with a primary focus on ensuring geotechnical stability, while environmental restoration efforts have largely been limited to geomorphological reshaping and visual landscape mitigation. However, many waste dumps contain elements currently classified as critical raw materials, which frequently co-occur with contaminants due to their inherent toxicity.

In this context, the duality between the valorization of mining wastes for the recovery of critical raw materials and the mitigation of their potential environmental impacts through restoration techniques becomes particularly relevant. This study presents several case studies that integrate the reprocessing of mining waste dumps for the recovery of valuable elements, as well as the valorisation of mining wastes as soil amendments, with restoration strategies based on phytoremediation and the application of organic and inorganic amendments, including carbon foams, biochar, and nanomaterials.

The results highlight the importance of adopting a holistic approach to mining waste management, in which environmental restoration and critical raw material recovery are addressed simultaneously as part of a sustainable strategy aligned with the principles of the circular economy.

Acknowledgements
This work was funded by the research project RESIST, PID2024-160647OB-I00 (MICIU/AEI/10.13039/501100011033/FEDER, EU). Bryan Salgado acknowledge the Spanish National Research Council for the "JAE Intro ICU 2025" fellowship (Ref. CN-IGME-03).
 

How to cite: Baragaño, D., Salgado, B., Sánchez, S., Ratié, G., Berrezueta, E., Arranz, J. C., Fernández, J., and López-Antón, M. A.: The duality between critical raw material recovery and the restoration of mining waste dumps, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18754, https://doi.org/10.5194/egusphere-egu26-18754, 2026.

EGU26-20680 | ECS | Orals | SSS7.5

Comparison of XRF and ICP Techniques for Geochemical Characterization of a Celestite Deposit 

Miguel Izquierdo-Díaz, Humberto Serrano García, Jaime Montalvo Piñeiro, Fernando Barrio-Parra, María Sánchez-Canales, Eduardo De Miguel García, and Noemi Ariza-Rodríguez

The digital transformation and the transition towards low-carbon energy systems have intensified global demand for mineral resources, particularly those classified as Critical Raw Materials (CRM) by the European Union (EU). In this context, strontium (Sr), included in the EU CRM list since 2020, has gained strategic relevance during the last years. Spain plays a key role in the European strontium supply chain, with the Montevive celestite deposit (Granada, southern Spain) representing the largest strontium reserve in the EU. However, the progressive exploitation of lower-grade ores and the potential presence of hazardous trace elements raise concerns regarding both resource efficiency and occupational health.

This study, developed within the framework of the ROTATE project, aims to characterize the elemental composition of the Montevive celestite deposit, evaluate the presence of CRMs and rare earth elements (REEs), and assess the potential health risks to mine workers. A total of 22 soil samples were collected from five distinct mining areas (CDS, FDM, PIS, LAN, and D) and analyzed using X-ray fluorescence (XRF) and inductively coupled plasma techniques (ICP-MS/ICP-OES). Method validation was evaluated through certified reference materials and duplicate sample analyses.

Accuracy assessment demonstrated that ICP techniques significantly outperformed XRF, allowing reliable quantification of 34 elements contained in the certified reference materials, compared to only 20 elements detected by XRF. Precision assessment based on duplicate ICP analyses showed high analytical precision, with coefficients of variation below 5 % for 40 analytes, which exhibited concentrations above the quantification limit.

The average mineralogical composition was dominated by celestine, calcite, quartz and magnesite. Spatial variability within the deposit was evaluated using statistical analyses (Tukey’s HSD tests), revealing marked compositional differences in the LAN area relative to the remaining zones, with strong negative correlations between silicate phases (SiO2 and Al2O3) and sulphate minerals (SrSO4 and BaSO4). Similarly, LAN sector exhibited higher total rare earth element concentrations than the other areas, dominated by Ce, La, Nd and Y, indicating a potential secondary CRM resource.

Finally, a quantitative occupational health risk assessment was conducted considering inhalation of airborne particulate matter as the sole relevant exposure pathway, under a conservative worst-case scenario assuming the absence of personal protective equipment. For this exposure route, both non-carcinogenic and carcinogenic risks remained well below accepted regulatory thresholds for all evaluated elements considered individually, as well as for the aggregated risk (Hazard Quotient < 1; Carcinogenic Risk < 10-5). Considering the dust control measures and personal protective equipment currently implemented at the site, occupational exposure levels and associated health risks for workers are expected to be negligible.

Overall, this study provides an integrated assessment of resource potential, analytical reliability, and occupational health risks in a strategic European strontium deposit, supporting informed decision-making for sustainable mining and critical raw material supply in the EU.

How to cite: Izquierdo-Díaz, M., Serrano García, H., Montalvo Piñeiro, J., Barrio-Parra, F., Sánchez-Canales, M., De Miguel García, E., and Ariza-Rodríguez, N.: Comparison of XRF and ICP Techniques for Geochemical Characterization of a Celestite Deposit, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20680, https://doi.org/10.5194/egusphere-egu26-20680, 2026.

EGU26-20795 | ECS | Posters on site | SSS7.5

Field evidence of environmental recovery after designed Technosol application in sulfide mine environment 

Yacine Benhalima, Andrea Dadina, Selma Pena, Maria Manuela Abreu, Erika S. Santos, and Diego Arán

Land degradation is a major environmental challenge in post-mining landscapes, where soil structure, fertility, carbon storage and potentially hazardous elements availability are severely compromised. Designed Technosols have emerged as a promising strategy for restoring soil functionality in such disturbed areas under different climatic conditions. Their effectiveness under field conditions over time requires systematic evaluation but these studies are scarce. A study was conducted at the São Domingos mine (Iberian Pyrite Belt, Portugal), where the first pilot project using designed Technosols for environmental rehabilitation was implemented in late 2020 (1.5 ha).

From the rehabilitation implementation system, physicochemical characteristics of Technosol and vegetation development have been monitored to understand the underlying temporal dynamics. Additionally, to physicochemical analysis in the soil samples collected periodically, the evolution of the temporal change was assessed via remote sensing for the area. Adjacent areas without Technosol application were used as control.

In general, mine areas without Technosol maintain their high environmental risk due to acid characteristics and high availability of potentially hazardous elements-PHE. Technosol remains their eutrophic and alkaline properties, supporting dense vegetation cover and improvement chemical characteristics of the area (pH, fertility and diminution of PHE spreading). Nonetheless temporal patterns following Technosol application have been observed.

For instance, Organic C and total N exhibited similar trends, with the highest values at implementation (130.58 g/kg and 7.92 g/kg, respectively), followed by a moderate decline over time, although it was statistically significant only after six months. C stock dynamics further supported these trends. Below-ground C stock increased gradually from (96.65 to 106.81 t C/ha) over 27 months and remained within the same overall range as the implementation, indicating high stabilization potential. Overall, Above-ground C stock increased from 11.55 to 108.85 t C/ha, peaking at 302.31 t C/ha after six months. Temporal evaluation using NDVI showed an increase in area and intensity of the index from 0.03 to 0.9. Overall, the grouped trends demonstrate that Technosols simultaneously promote biological activity, the improvement of C and N balance and enhance both below- and above-ground C stocks.

To evaluate the drivers of the rehabilitation system evolution, remote sensing products to derive topographic and hydrologic covariates (slope, aspect, topographic position, and connectivity proxies) are included to evaluate their influence on C stock, PHE availability and runoff connectivity in adjacent areas to the Technosol area. This study provides important indicators framework linking contamination dynamics and ecosystem recovery as well as the effectiveness of the environmental system with designed Technosol at long term.

This work was funded by national funds through FCT—Fundação para a Ciência e a Tecnologia under the projects UID/04129/2025 (LEAF) and LA/P/0092/2020 (TERRA).

How to cite: Benhalima, Y., Dadina, A., Pena, S., Abreu, M. M., S. Santos, E., and Arán, D.: Field evidence of environmental recovery after designed Technosol application in sulfide mine environment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20795, https://doi.org/10.5194/egusphere-egu26-20795, 2026.

EGU26-22793 | Posters on site | SSS7.5

Enhancing harvestable nickel yield in Alyssum argenteum through chemical, hormonal and biological amendments: implications for nickel agromining 

Qifan (Leo) Yin, Jennifer Carfrae, Margaret Graham, Bryne Ngwenya, and Luís Novo

Nickel agromining harnesses hyperaccumulator plants to recover critical metals from metal-rich soils, offering a low-impact alternative to conventional mining and a pathway for the valorisation of contaminated or marginal land. However, the economic viability of this approach remains constrained by limited nickel yield in aboveground biomass, motivating the development of strategies to enhance plant metal uptake. This study evaluated a broad range of agronomic strategies to enhance shoot Ni accumulation in the Ni hyperaccumulator Alyssum argenteum under controlled glasshouse conditions.

Plants were grown in a substrate spiked to 600 mg kg⁻¹ Ni and subjected to three categories of treatments applied independently: (i) the biodegradable chelating agent EDDS and a set of low-molecular-weight organic acids (citric, oxalic, malic, and acetic acids), (ii) plant growth regulators representing auxin (IAA, NAA), cytokinin (BAP) and gibberellin (GA) classes, and (iii) plant growth-promoting bacteria (Pseudomonas fluorescens, P. putida, P. protegens, and a consortium). At harvest, nickel yield was quantified as shoot Ni per plant (leaf + stem). In parallel, physiological and biochemical responses were assessed, including photosynthetic pigments (chlorophylls, carotenoids, and anthocyanins), histidine, hydrogen peroxide (H₂O₂), and reduced glutathione (GSH).

All three treatment classes produced substantial positive effects on shoot Ni yield. Among phytohormones, IAA and GA produced the strongest enhancements, with mean shoot Ni increases typically exceeding +50% vs control and, under the highest application levels, surpassing +100% vs control. The strongest overall responses were observed for the chemical amendments, with malic and oxalic acids, followed by citric acid and EDDS, frequently increasing shoot Ni by >+100% vs control, depending on dose. In the biological treatments, inoculation with P. putida and the consortium consistently enhanced shoot Ni yield, with increases of up to ~+50% vs control.

Enhanced shoot Ni accumulation was accompanied by treatment-specific changes in pigment composition, histidine concentrations, and redox markers (H₂O₂ and GSH), indicating that improved Ni yield was associated with modulation of photosynthetic performance, metal complexation, and oxidative stress responses rather than simple biomass effects. While more detailed statistical analyses are pending, these results demonstrate that targeted chemical and biological amendments can markedly enhance harvestable Ni yield in A. argenteum, providing a strong experimental basis for optimising nickel agromining systems

How to cite: Yin, Q. (., Carfrae, J., Graham, M., Ngwenya, B., and Novo, L.: Enhancing harvestable nickel yield in Alyssum argenteum through chemical, hormonal and biological amendments: implications for nickel agromining, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22793, https://doi.org/10.5194/egusphere-egu26-22793, 2026.

EGU26-23001 | ECS | Orals | SSS7.5

Portable XRF (PXRF) Analysis of Agricultural Soils in Central Bangladesh - Approaches to Quantify Anthropogenic Trace Element Inputs  

Farah T. Ahmed, Ajmal Roshan, Rory Cracroft, Laura A. Richards, and David A. Polya
The widespread distribution, non-degradable nature, and detrimental effects of many trace elements (TEs) render a significant ecological and public health issue on a global scale (Zhao et al., 2014). TEs in soil may have geogenic or anthropogenic origins – quantifying the latter may be of considerable utility in (a) identifying sources; and (b) rapid qualitative risk assessments in the absence of detailed mineralogical and petrographic data. Bangladesh, one of the world’s most densely and highly populated countries, though agriculturally intensive, has numerous sources of soil TEs pollution, particularly in the highly urbanised and industrialised Dhaka-Gazipur-Narayanganj corridor (Islam et al., 2024).
In this study, PXRF was used to semi-quantitatively analyse a range of agricultural soils from central Bangladesh, with a view to quantifying and determining the spatial distribution of TEs of anthropogenic origin. Soil samples (n = 102) were collected from agricultural lands in seven districts of central Bangladesh across 8 different river plains (Meghna, Dhaleshwari, Old Brahmaputra, Buriganga, Ichamoti, Kaliganga, Shitalakshya, and Turag River). Soil samples were analysed by PXRF for trace element content, and the method was validated by using Certified Reference Materials (CRMs: NCS DC73309, NIST 2710A and NIST 1646A). The recovery rates for trace elements were within acceptable limits (< 100 ± 20%). Recovery rates for Si and Al were poor, and the estimated SiO2 and Al2O3 were assessed from measured Rb using the relationships identified for Meghna River sediment by Hossain (2019). The concentration range of trace elements (in mg/kg) in agricultural soil were found as 10 – 65 (Pb), 5 – 20 (As), 30 – 300 (Zn), 15 – 70 (Cu), 15 – 75 (Ni), 8 – 25 (Cd), 40 – 150 (Cr), 40 – 200 (V), 10 – 40 (Sb), 8 – 35 (Sn), 21000 – 60000 (Fe), 150 – 1000 (Mn), 2100 – 5700 (Ti), 1600 – 73000 (Ca), 8300 – 27000 (K), 2700 – 17000 (Mg), 125 – 520 (Zr), 30 – 200 (Sr), 70 – 180 (Rb), 10 – 25 (Nb) and 10 – 30 (Th). FAO guideline values for soils (FAO, 2004) were found to be exceeded, notably for Sn (58 % of samples), Cr (47 %), V (32%), Sb (27%), Cd (20%), Ni (15%) and Pb (2%). Preliminary qualitative determination of anthropogenic contributions to the soils was made following corrections for (a) grain size, and (b) river-valley-dependent provenance of geogenic sources and notably identified some soils for which Cr and/or Pb in particular were predominantly of anthropogenic origin.  Further analysis will be carried out to enable more detailed TEs source apportionment.

 

Keywords: Agriculture, Soil quality, Trace elements contamination, Portable XRF.

Acknowledgement: FTA acknowledges a STFT, Ministry of Science and Technology (Bangladesh) scholarship. AR acknowledges a Cookson Scholarship. RC acknowledges a PGRTA Studentship from the University of Manchester (UoM).  We thank all the technical support staff in the Manchester Analytical Geochemistry Unit at the UoM for the PXRF and laboratory facilities. 

References

1. Zhao et al. (2014). https://doi.org/10.1016/j.scitotenv.2013.09.086  
2. Islam et al. (2024).  https://doi.org/10.1016/j.envres.2024.118551    
3. Hossain  (2019). https://doi.org/10.1002/gj.3595   
4. FAO (2004). https://faolex.fao.org/docs/pdf/est97999E.pdf  

How to cite: Ahmed, F. T., Roshan, A., Cracroft, R., Richards, L. A., and Polya, D. A.: Portable XRF (PXRF) Analysis of Agricultural Soils in Central Bangladesh - Approaches to Quantify Anthropogenic Trace Element Inputs , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23001, https://doi.org/10.5194/egusphere-egu26-23001, 2026.

Enhancing soil structure is essential for maintaining soil functions and overall soil health, and its development is strongly influenced by climate, land use, and soil type. This study evaluated near-saturation water retention—an indicator of structural condition—in soils from four climatic regions under long-term land use (>20 years) and compared these effects with a one-time application of anionic polyacrylamide (PAM). Soils from humid (USA: crop CT–conservation tillage, crop NT–no till, grass, forest), temperate (Ethiopia: crop CT, grass, bush, forest), semi-arid (Turkey: crop CT, grass, forest), and arid (Israel: crop CT, orchard, virgin) regions were analyzed (272 samples ranging from sandy loam to clay). In each region, three crop CT soils with contrasting textures were treated with PAM at 0, 25, 50, 100, and 200 mg L⁻¹ (60 samples).
Structural effects were assessed using the high-energy moisture characteristic (HEMC, 0–50 hPa). Water-retention curves were described using modified van Genuchten parameters (α and n), and structural stability was quantified as SI. Treatments produced distinct curve shapes (α = 0.036–0.099 hPa⁻¹; n = 7.1–20.6), reflecting changes in macropore domains (>250, 125–250, 60–125 μm) associated with large and small macroaggregate stability (SI = 0.002–0.060 hPa⁻¹).
Higher soil organic carbon (SOC) contents (crop CT < crop NT < grass/bush/orchard < forest/virgin) and increasing PAM rates improved α (0.054–0.096 hPa⁻¹) and SI (0.004–0.059 hPa⁻¹), while reducing n (16.0–6.3). However, the magnitude of these effects depended on soil type, texture, and climatic region. SI correlated strongly with SOC or SOC/Clay ratio in humid and temperate regions, and with SOC and clay content in arid and semi-arid regions.
Crop CT soils had the lowest SI, typically 2–4 times lower than other land-use types. Applying PAM at 25–50 mg L⁻¹ increased SI (0.007–0.033 hPa⁻¹) to levels comparable to crop NT, grass, bush, or orchard soils (0.009–0.032 hPa⁻¹). Higher PAM rates (100–200 mg L⁻¹) raised SI (0.014–0.042 hPa⁻¹) to values up to twice those of NT, grass, and orchard soils, and in some cases similar to forest or virgin soils (0.014–0.059 hPa⁻¹). PAM and SOC effects were strongest in medium- and clay-textured soils; notably, a single PAM application often improved SI more effectively than SOC, particularly in drier regions.
Across all climates, long-term NT or grass soils with SOC ≥ 2 g g⁻¹ and soils treated with 25 mg L⁻¹ PAM produced similar SI values, indicating a useful threshold for evaluating structural quality (SI ≥ 0.010–0.020 hPa⁻¹). Exponential relationships between SI and α or n (α: R² = 0.85; n: R² = 0.64, p < 0.001) can guide (I) the assessment of soil structural stability, macroporosity, and SOC; (II) the interpretation of land-use impacts on pore and aggregate-size distributions; and (III)the determination of optimal PAM rates within conservation agriculture. These relationships support the development of resilient soil structure, accelerated SOC accumulation, and site-specific management practices—particularly valuable for weakly structured, degraded soils.

 

How to cite: Mamedov, A. I., Levy, G. J., and Norton, D. L.: Structural stability and near-saturated water retention of soils from four climatic regions under long-term land use versus one-time polyacrylamide treatment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-473, https://doi.org/10.5194/egusphere-egu26-473, 2026.

EGU26-476 | ECS | PICO | HS9.7

Topographic Signature of Soil Loss 

Saba Shakeel Raina, Ravi Raj, and Basudev Biswal

The ever-evolving earth’s topography reflects the complex interaction of several geomorphic processes. These processes play a central role in how soil is detached, transported, and ultimately lost from a landscape. This raises a fundamental question: how does topography influence soil loss? To explore this, we introduced a geomorphic metric, ridge density (Rd), defined as the density of topographic ridges within a landscape. This metric provides a simple description of how rugged or smooth the terrain is. Our analysis shows a strong negative relationship between Rd  and soil loss. Landscapes with high Rd  experience lower soil loss. This is expected because highly dissected terrain contains steep but short slopes. Short slopes limit the distance over which runoff can gain energy and transport sediment, which reduces the overall erosion potential. The components of RUSLE further support this pattern. The LS-factor decreases as ridge density increases, suggesting that closely spaced ridges shorten the effective slope length, reducing the potential for runoff to accelerate and erode soil. In contrast, the K-factor increases with Rd, showing that areas with rugged terrain may contain soils that are more erodible. Even with a higher K-factor, the strong reduction in LS dominates, which explains why total soil loss still decreases in rugged terrain. Overall, the results show that Rd effectively captures the topographic influence on soil loss.

How to cite: Raina, S. S., Raj, R., and Biswal, B.: Topographic Signature of Soil Loss, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-476, https://doi.org/10.5194/egusphere-egu26-476, 2026.

EGU26-513 | ECS | PICO | HS9.7

Climate-Driven Linear and Non-Linear Sediment Dynamics: A Machine-Learning Approach 

Laukik Yelne and Munish Chandel

Climate variability affects sediment dynamics; however, the relative contributions of individual climate parameters and the nature of these relationships (linear versus non-linear) remain unexplored. This knowledge gap hinders the development of effective, climate change-adaptive water quality management strategies. This study develops a multi-model framework to identify the complex relationships between climate parameters and sedimentary parameters (Turbidity and Total Dissolved Solids). Two modelling approaches, multivariate linear regression (MLR) as a baseline, and Random Forest (RF), were compared to capture both linear and nonlinear sediment dynamics. The SHAP (Shapley Additive exPlanations) method is used to quantify the contributions of climate parameters in variations of turbidity and total dissolved solids concentration. The model has developed a relationship between five climate variables (precipitation, average temperature, wind speed, solar radiation), reservoir operations (reservoir level), and sedimentary parameters. SHAP feature importance was quantified through an evidence-based evaluation for both models, providing a methodology and interpretation for both linear and non-linear pathways.

The results indicate that random forest substantially outperformed linear regression (R² = 0.65 versus 0.47, representing 38% improvement), with RMSE reduced by 19% and MAE by 36%, indicating significant non-linear climate-turbidity dynamics. Whereas the total dissolved solids model suggests an improved R² of 0.30 compared to 0.04 for linear regression. Furthermore, SHAP analysis revealed a divergence in precipitation importance between random forest and linear models, which attributed only 12.8% of the linear contribution. While non-linear models identified precipitation as the dominant driver, accounting for 50.8% of the contribution, a 38 percentage-point divergence was observed. SHAP dependence analysis identified a 10 mm/day as a critical precipitation threshold, below which the impacts of turbidity remain minimal. The precipitation contributions increase exponentially, reaching +10 to +13 SHAP units at precipitation levels exceeding 100 mm/day. The SHAP dependence result suggests that air temperature interactions amplify precipitation effects, with high-temperature periods generating 30-40% larger turbidity events to equivalent precipitation. In contrast, other climate parameters show consistent SHAP values across models (solar radiation: 28.8% MLR versus 16.1% RF), indicating predominantly linear relationships that were adequately explained by simple regression. Additionally, the reservoir level is a major contributor to total dissolved solids, with 35.7% non-linear contribution compared to 28.2% linear contribution, followed by precipitation and solar radiation. The reservoir level, ranging from 255 to 265 m, provides buffering capacity to absorb precipitation-driven sediment loads without significant fluctuations in turbidity and total dissolved solids.

The identified thresholds enable the development of climate-informed, tiered operational protocols: standard operations below 10 mm/day precipitation, enhanced operations at 10-100 mm, and advanced operations above 100 mm with different treatment dosages. Instead of the proportionate responses predicted by linear extrapolation. The non-linear dynamics for climate adaptation planning suggest that anticipated 20-30% increases in monsoon precipitation intensity could lead to 50-80% increases in peak turbidity events. This multi-model SHAP system provides a modelling approach for determining operational thresholds, measuring parameter contributions, and assessing the complexity of climate-water quality interactions to inform practical management strategies.

How to cite: Yelne, L. and Chandel, M.: Climate-Driven Linear and Non-Linear Sediment Dynamics: A Machine-Learning Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-513, https://doi.org/10.5194/egusphere-egu26-513, 2026.

EGU26-732 | ECS | PICO | HS9.7

Sorption characteristics of the selected pesticides on the river sediments in the Mid-Himalayan region.   

Deeksha Kumari, Harshad Kulkarni, and Anand Giri

The extensive use of pesticides has resulted in their persistence in several environmental compartments, including soil, water, and air. The majority of pesticides remain confined inside soil and sediment, limiting their dispersion to other parts of the ecosystem. In Himachal Pradesh, an agriculturally and horticulturally rich state of the Indian Himalayas, the regular usage of chemical pesticides poses significant risks to the pristine Himalayan ecosystem. Pesticides applied to crops cultivated on the valley slopes, such as apples, are thought to accumulate in the soil and are then transported to adjacent rivers during the monsoon season by surface runoff. The behaviour and movement of these pesticides mostly depend on their adsorption on soils and river sediments. Therefore, this study aims to examine the adsorption capacities of sediment fractions (coarse, medium, and fine sand and silt-clay) collected from the Beas riverbed, one of the major rivers in the Kullu valley of Himachal Pradesh. Fungicides like carbendazim and thiophanate methyl that are commonly used in this region were selected for adsorption experiments along with coarse, medium and fine sands, and silt-clay fractions separated from the Beas River sediments. One gram of each sediment type was spiked with the pesticide mixture containing 100 mg/L of each fungicide and allowed to adsorb for 24 hours. Following that, the spiked sediments were eluted with deionized water to simulate rainwater flushing in the real conditions. The extracts were analysed using HPLC-DAD to measure the concentration of fungicides eluted with water. The findings indicated that sediment type significantly influenced the desorption of carbendazim and thiophanate-methyl. Approximately 6.2% of thiophanate-methyl and 90.2% of carbendazim were eluted from coarse sand. The elution percentages for carbendazim and thiophanate-methyl using medium sand were 87.21% and 4.5%, respectively. Fine sand exhibited increased elution, with 26.4% thiophanate-methyl and 92.2% carbendazim released. Silt-clay sediments released 37.7% of thiophanate-methyl and 89.7% of carbendazim. The findings indicate that sediment retention of pesticides is contingent upon particle size, affecting the quantity of pesticide that may be released into the water. Additional work on adsorption and desorption of captan (organochloride) along with these two pesticides using the batch equilibrium procedures is underway.

 

How to cite: Kumari, D., Kulkarni, H., and Giri, A.: Sorption characteristics of the selected pesticides on the river sediments in the Mid-Himalayan region.  , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-732, https://doi.org/10.5194/egusphere-egu26-732, 2026.

EGU26-934 | ECS | PICO | HS9.7

Hybrid SWAT-ANN Modeling of Climate-Driven Changes in Streamflow and Sediment Yield: Manjira River Basin, India 

Sachin Kumar, Mahendra kumar Choudhary, and Thomas Thomas

Accurate prediction of sediment yield and streamflow is essential for effective watershed management and climate change adaptation planning. This study develops and validates an innovative SWAT-ANN hybrid model that integrates the physically based Soil and Water Assessment Tool (SWAT) with Artificial Neural Networks (ANN) to improve hydrological predictions in the monsoon-dominated Manjira River Sub-Basin (MRSB), India.

The SWAT model was calibrated and validated using daily streamflow and sediment observations from three Central Water Commission gauging stations (1998-2019). Multi-site calibration achieved satisfactory performance with NSE = 0.75 and R² = 0.79 for streamflow, while sediment yield modeling yielded NSE = 0.56 and R² = 0.60. Building on these simulations, an ANN model was trained using SWAT-generated outputs combined with meteorological variables to capture nonlinear sediment transport relationships. The SWAT-ANN hybrid model demonstrated significant improvements, with streamflow predictions achieving NSE = 0.95 and R² = 0.98, compared to standalone SWAT. For sediment yield, the hybrid approach improved NSE from 0.56 to 0.72 and R² from 0.60 to 0.75, showcasing the complementary strengths of physics-based and data-driven modeling.

Climate change impact assessment was conducted using 13 CMIP6 models under SSP245 (moderate mitigation) and SSP585 (high emissions) scenarios. Under SSP245, ensemble mean streamflow increased by 47.5% (2015-2045), 68.5% (2046-2070), and 123.9% (2071-2100) relative to baseline (1998-2014). SSP585 projections were more severe, with streamflow increases of 41.3%, 137.4%, and 269.4% for the respective periods. Sediment yield responses were equally dramatic: SSP245 scenarios projected increases of 61.3% (near-future), 81.9% (mid-future), and 146.6% (far-future), while SSP585 showed 48.3%, 166.4%, and 331.9% increases. The most aggressive model (CanESM5) projected sediment yield increases exceeding 1,900% by 2100 under SSP585, while conservative models (INM-CM5-0) showed minimal changes.

The SWAT-ANN model successfully captured temporal variability in both streamflow and sediment responses across all climate scenarios. These projections indicate that the basin will experience unprecedented hydrological changes, with sediment yields rising 2.5-4.3 times baseline by 2100 depending on emission pathways. The developed hybrid methodology provides a powerful tool for water resource managers to quantify climate-driven changes in streamflow and sediment dynamics, enabling adaptive management strategies and sustainable planning in data-limited monsoon-dominated basins. The transferable methodology addresses critical gaps in sediment yield prediction for similar South Asian river systems.

How to cite: Kumar, S., Choudhary, M. K., and Thomas, T.: Hybrid SWAT-ANN Modeling of Climate-Driven Changes in Streamflow and Sediment Yield: Manjira River Basin, India, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-934, https://doi.org/10.5194/egusphere-egu26-934, 2026.

EGU26-2711 | ECS | PICO | HS9.7

Centennial-scale sedimentation dynamics and their controlling factors in a human-modified mountainous catchment, Korea 

Yeawon Kim, Minseok Kim, Shinwoo Ki, Young Shin Lim, Chanjoo Lee, and Jin Kwan Kim

Sedimentary archives preserved in fluvial and wetland environments offer valuable insights into how watershed systems respond to hydrological variability and human disturbance. Here, we reconstruct centennial-scale changes in sedimentation rates along the Sijeon Stream, which traverses the Sajapyeong wetlands in Korea, using 210Pb dating of sediment cores obtained from slackwater deposits. The resulting chronology spans the period from 1912 to 2019 and enables an assessment of the principal watershed controls on sediment accumulation. The reconstructed record reveals three successive intervals that are statistically distinguishable in terms of sedimentation rates: Period 1 (1912–1963), Period 2 (1964–2000), and Period 3 (2001–2019). These intervals correspond closely with distinct phases of land-use history identified from aerial photographs and satellite imagery, including a quasi-natural phase until the early 1960s, a phase of intensive agricultural activity from the mid-1960s to the mid-1990s, and a period marked by multiple forms of anthropogenic intervention beginning in the early 2000s. Across all periods, sedimentation rates exhibit clear associations with precipitation variability. A particularly pronounced and sustained rise in sediment accumulation after 2015, during the late part of Period 3, coincides with the implementation of artificial channel modifications and the occurrence of earthquakes. This pattern indicates that land-use change governs long-term trends in sedimentation, whereas precipitation extremes, channel alterations, and seismic events primarily exert short-lived influences. Furthermore, when these drivers act concurrently, their combined effects can substantially amplify sedimentation rates. The findings improve the understanding of the temporal effects of interacting watershed factors on sediment transport and emphasize the importance of considering these interactions in developing strategies for sustainable reservoir and wetland management.

How to cite: Kim, Y., Kim, M., Ki, S., Lim, Y. S., Lee, C., and Kim, J. K.: Centennial-scale sedimentation dynamics and their controlling factors in a human-modified mountainous catchment, Korea, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2711, https://doi.org/10.5194/egusphere-egu26-2711, 2026.

EGU26-4427 | ECS | PICO | HS9.7

Flood‑Driven Remobilisation of Legacy Metal Contaminants in Sovenian River Basins 

Nejc Golob, Martin Gaberšek, Mateja Gosar, and Vesna Zupanc

The August 2023 floods in Slovenia exposed how extreme hydrological events can transform industrial and mining legacies into acute public health and agricultural crises. Heavy rainfall triggered mass wasting and river overflows across 183 municipalities - an area of approximately 17,203 km² ‑ resulting in roughly €9.9 billion in losses.

Slovenia’s rich mineral deposits historically fueled industrial development but left enduring environmental burdens. Beyond the physical devastation, these floods remobilized toxic sediments from historical hotspots, including the Mežica Pb–Zn mine, the Celje zinc smelter, and the Idrija mercury mine. Our study uses field measurements, geochemical analyses, and a comprehensive GIS framework to examine how flood deposits contaminate farmland and influence human exposure pathways across the nation’s river basins.

We conducted a GIS-based analysis that integrated national geochemical surveys, environmental monitoring data, hydrological records, historical & modern land-use maps, and flood-hazard assessments. This enabled us to identify zones where contamination sources overlap with flood-prone areas across four major river basins: Sava, Drava, Mura, and Soča. By overlaying these layers with current land use, we delineated agricultural and urban parcels most at risk of metal contamination.

Analyses reveal pronounced contamination gradients and significant overlap between polluted zones and cultivated floodplains. In the Sava basin, multiple hotspots (Celje, Jesenice, and Litija) coincide with intensively farmed floodplain terraces. Overbank sediments here show metal concentrations tens to hundreds of times above background levels; specifically, Celje’s topsoils contain Zn up to 8,600 mg kg⁻¹ and Cd often exceeding critical thresholds. GIS overlays indicate that a substantial portion of this farmland lies within high-hazard flood zones. In the Drava basin, spatial analysis highlights a narrow corridor where the Meža plume passes through cropland; floodplain soils downstream remain laden with Pb, Zn, and Cd from legacy mining. By contrast, the Mura basin, while largely agricultural, shows minimal overlap between contaminated zones and flood-prone areas, reflecting its predominantly geogenic background and lower industrial impact. In the Soča basin, we observed moderate overlap: heavy Hg contamination from Idrija (sediment averages 603 mg kg⁻¹ and floodplain soils 157.7–294.8 mg kg⁻¹) is largely confined to specific terraces, yet downstream agricultural parcels remain at risk.

Our findings show that Slovenian floodplains are disproportionately burdened by legacy pollutants that re-enter the environment during extreme events. As climate projections indicate more frequent and intense flooding in Alpine and Pannonian regions, it is urgent to integrate flood risk management with soil remediation, agricultural planning, and public health strategies to safeguard food security and human well-being.

How to cite: Golob, N., Gaberšek, M., Gosar, M., and Zupanc, V.: Flood‑Driven Remobilisation of Legacy Metal Contaminants in Sovenian River Basins, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4427, https://doi.org/10.5194/egusphere-egu26-4427, 2026.

EGU26-5234 | ECS | PICO | HS9.7

Structure-Induced Enhancement of Oxygen Penetration in Coarsened Sediment Beds: Insights from Large-Eddy Simulations 

Jiangchao Liu, Yifan Zhu, Yucheng Jiang, Zihan Geng, and Yan Liu

This study employed large-eddy simulations (LES) to investigate how local bed coarsening influence near-bed vertical velocity perturbations and scalar transport. Six cases were configured with varying degrees of sediment coarsening at a fixed Reynolds number of 10,000. Coarsening was quantified by the coverage ratio (Ac/At) of coarse particles (Ac) on the bed surface (At), ranging from 0% to 100%. To isolate the effects of heterogeneous permeability, the crest elevations of both non-coarsened (d) and coarsened particles (D, where d = 0.5D) were kept equal, effectively eliminating variations in bed elevation.

Results show that Ac/At = 64% induced the strongest perturbations: (i) Sediment coarsening enhances near-bed vertical velocity and turbulence, with increases of 10.0 and 3.0 times at 64%, and 3.5 and 1.5 times under full coarsening, relative to the non‑coarsened case. (ii) Bed coarsening strengthens downward advective and turbulent fluxes, peaking at 14.1 and 1.7 times the non‑coarsened values at 64%, and remaining elevated at 11.6 and 1.4 times under full coarsening; (iii) Coarsening increases scalar penetration, shortens residence time (RT), and enhances transfer coefficients on both water and sediment sides. Under non- and fully coarsened beds, penetration depths are limited to d and D, respectively, while partial coarsening (Ac/At = 16–64%) allows penetration to the bed bottom. RT drops from 4.49 s at 0% to 4.21 s at 64%, then slightly rises to 4.24 s under full coarsening. At Ac/At = 64%, transfer coefficients rise to 2.4 times (water side) and 1.8 times (sediment side) those of the non-coarsened case, and to 1.6 and 1.4 times under full coarsening.

The primary mechanism driving the intensification of vertical scalar transport is the enhancement of vertical instantaneous velocities, which subsequently leads to increased advective and turbulent fluxes. Consequently, near-bed scalar concentrations increased by 37.1% at Ac/At = 64% and by 65.4% under full coarsening compared to the non-coarsened case. The results offer new insights into how bed heterogeneity influences hyporheic exchange, biogeochemical coupling, and solute retention in permeable sediments.

How to cite: Liu, J., Zhu, Y., Jiang, Y., Geng, Z., and Liu, Y.: Structure-Induced Enhancement of Oxygen Penetration in Coarsened Sediment Beds: Insights from Large-Eddy Simulations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5234, https://doi.org/10.5194/egusphere-egu26-5234, 2026.

EGU26-5440 | PICO | HS9.7

Quantification of Humic Substances in Caustobiolites and Commercial Products Using a New Standardization Method 

Vojtech Enev, Kristyna Mullerova, Leona Kubikova, Jakub Ciz, Katerina Liskova, Martina Klucakova, and Miloslav Pekar

Nowadays, environmentally friendly agriculture contributed to a significant interest in the production of fertilizers based on water-soluble humic substances such as humates and lignohumate. These commercial products are dark brown powders and/or concentrated alkaline solutions, containing mixture of humic substances, lingo-humic acids, and smaller proportion of lightly hydrolyzing organic compounds. Their root and foliar application increase growth of roots and leaves, chlorophyll content, and activity of plant enzymes, etc. All of this has generated intense interest for an accurate and reliable method to quantify humic substances in caustobiolites and commercial products.

The aim of this work was to determine the content of humic substances in raw caustobiolites (i.e. lignite, leonardite, and alginite) and commercial humate products. Humic substances (HA and FA) were isolated from following samples: South Moravian lignite (the northern part of the Vienna basin, Mír mine near Mikulčice in the Czech Republic); leonardite (Afşin, Kahramanmaraş, Turkey); alginite (Pinciná in the Slovakia Republic); lignohumate MAX (Amagro, Prague in Czech Republic); and HumiKey (Xi´an, TBio Crop Science Co., Ltd., China). The humic substances were extracted using a new standardized method for quantification of humic substances (Lamar et al., 2014) recommended by the International Humic Substances Society. The content of humic substances was obtained by gravimetric analysis. The wt.% HA and FA contents were corrected for moisture and ash content. Furthermore, the humic substances were used in solid powder form and characterized by thermal techniques (i.e. elemental and thermogravimetric analysis), UV/Vis spectroscopy, and FTIR spectroscopy.

The determining factor influencing the yield of humic substances from raw caustobiolites and commercial products is their origin and method of extraction. The greatest content of HA (54.22 ± 1.76%) was obtained for sample isolated from Turkey leonardite. In contrast, the lowest contents were determined for HAs extracted from alginite and lignohumate MAX. It is obvious that these samples are characterized by significant content of FK and lightly hydrolyzing organic compounds. Extremely high ash content was determined for alginate. Caustobiolites (e.g. alginite) with high ash and low contents of humic substances appear to be less suitable as sources of HS for agricultural purposes.

All examined HAs isolated from caustobiolites were generally characterized by the complex and heterogeneous molecular structure with high average molecular weight and high degree of aromaticity. On the other hand, FAs, especially those isolated from commercial products, were predominantly aliphatic, with a smaller content of nitrogen and low degree of aromaticity and greater amount of oxygen-containing functional groups (e.g. carboxylic and phenolic).

This standardized method and studies on the physicochemical properties of HS can be helpful in predicting the behavior of such fertilizer components in the environment.

Reference

Lamar, R.T., Olk, D.C., Mayhew, L., Bloom, P.R., 2014. A New Standardized Method for Quantification of Humic and Fulvic Acids in Humic Ores and Commercial Products. J. AOAC Int. 97, 721-730. https://doi.org/10.5740/jaoacint.13-393.

Acknowledgement

This work was supported by The NATO Science for Peace and Security Programme, project Nr. G6296. https://land-security.org/.

How to cite: Enev, V., Mullerova, K., Kubikova, L., Ciz, J., Liskova, K., Klucakova, M., and Pekar, M.: Quantification of Humic Substances in Caustobiolites and Commercial Products Using a New Standardization Method, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5440, https://doi.org/10.5194/egusphere-egu26-5440, 2026.

EGU26-6446 | ECS | PICO | HS9.7

Dynamics of sediment and associated pesticide transfers in cultivated southernmost Brazil since 1982 

Amaury Bardelle, Renaldo Gastineau, Tales Tiecher, Guillermo Chalar, Mirel Cabrera, Marcos Tassano, Jean Paolo Gomes Minella, Alberto Vasconcellos Inda, Nathalie Cottin, Pierre Sabatier, Anthony Foucher, Olivier Cerdan, Christine Alewell, and Olivier Evrard

Since the 1980s, South America has emerged as one of the world’s leading agricultural producers, resulting in significant environmental pressures, including land and water degradation.

The consequences of this agricultural development, both past and present, are still poorly documented in this region, particularly in the Pampa biome. Retrospective analysis using sediment archive can provide valuable insights for the characterisation of the long-term environmental degradation.

In this study, we analysed a sediment core collected in the Salto Grande dam constructed in 1982 on the Uruguay river, draining a 266,000 km2 catchment. We established an age model and characterised the sediment properties, using gamma spectrometry, high-resolution geochemical content analysis (XRF), pesticides, magnetic susceptibility measurements over time (1982-2022). This multi-proxy analysis of a sediment archive from the Salto Grande reservoir enabled the first long-term reconstruction of land degradation and pesticide fluxes in the very large Uruguay river transnational basin (comprising Brazil, Argentina and Uruguay) since 1982.

The results indicate that sediment fluxes have decreased significantly since 2000 and sediment provenance has shifted toward the southern part of the basin after this period. These changes coincide with the construction of dams in the upstream part of the catchment, the expansion of agriculture in the south and the widespread adoption of no-tillage practices. This change in farming practices induced an increase in pesticide fluxes, thereby posing potential ecological risks.

 

In this context, trade deals such as those between the European Union and the European Free Trade Association and Mercosur, combined with the anticipated increase in the area dedicated to soybean and cellulose production, should be considered in light of the potential consequences in terms of agriculture expansion and related environmental threats.

How to cite: Bardelle, A., Gastineau, R., Tiecher, T., Chalar, G., Cabrera, M., Tassano, M., Paolo Gomes Minella, J., Vasconcellos Inda, A., Cottin, N., Sabatier, P., Foucher, A., Cerdan, O., Alewell, C., and Evrard, O.: Dynamics of sediment and associated pesticide transfers in cultivated southernmost Brazil since 1982, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6446, https://doi.org/10.5194/egusphere-egu26-6446, 2026.

EGU26-7670 | ECS | PICO | HS9.7

Establishment of baseline values for fluvial sediments in the Paraopeba river basin (Brazil), prior to the Brumadinho dam failure 

Lucas Leão, Fernando Pacheco, Luís Filipe Fernandes, Raphael Vicq, Fernando Laureano, Eduardo Marques, and Teresa Valente

The establishment of standardized procedures for defining geochemical reference values is critical to ensure consistency, robustness, and reliability in environmental assessments, particularly in mining-affected regions where natural geochemical backgrounds commonly overlap with anthropogenic inputs. In these settings, the determination of reliable baseline values is essential for differentiating natural variability from contamination and for supporting informed environmental management and regulatory decisions. This study provides a detailed characterization of the geochemical composition of fluvial sediments from the upper and middle sectors of the Paraopeba River Basin (PRB), southeastern Brazil, with the aim of defining representative baseline values for potentially toxic elements (PTEs). The basin has been subject to prolonged environmental pressures associated with mining, culminating in the failure of the B1 tailings dam in Brumadinho. Notably, the sediment dataset used in this investigation was obtained prior to the dam collapse, allowing the characterization of pre-disturbance geochemical conditions. A total of 717 fluvial sediment samples were collected and analyzed using inductively coupled plasma mass spectrometry (ICP-MS). Given the pronounced lithological diversity of the PRB, baseline were determined separately for each lithotype using multiple statistical techniques, including TIF, mMAD, and percentile-based approaches (75th and 98th percentiles). The results reveal a dominant geogenic control on the spatial distribution of several elements, particularly Ni, Cr, Co, Cu, and V, which are strongly linked to mafic and ultramafic lithologies of the Rio das Velhas Supergroup and the Santo Antônio do Pirapetinga Complex. Conversely, Fe and Mn show higher concentrations in areas associated with iron formations of the Minas Supergroup. Spatial mapping and multivariate analyses further indicate the combined effects of lithological controls and anthropogenic activities especially mining on sediment geochemistry. In some instances, the established baseline exceeds average upper continental crust concentrations and those reported for other mining-impacted river basins worldwide, underscoring the distinctive geochemical character of the Paraopeba River Basin. In summary, this study establishes the first regional geochemical reference framework for fluvial sediments in the Paraopeba River Basin, providing a robust scientific basis for environmental monitoring, contamination assessment, and the formulation of management and remediation strategies in watersheds influenced by mining activities.

How to cite: Leão, L., Pacheco, F., Fernandes, L. F., Vicq, R., Laureano, F., Marques, E., and Valente, T.: Establishment of baseline values for fluvial sediments in the Paraopeba river basin (Brazil), prior to the Brumadinho dam failure, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7670, https://doi.org/10.5194/egusphere-egu26-7670, 2026.

EGU26-7729 | ECS | PICO | HS9.7

Development of self-dynamic desanding measures through physical model experiments 

Dominik Worf, Sophie Humenberger, Peter Flödl, Christine Sindelar, and Christoph Hauer

Sediment surplus in rivers of the Bohemian Massif is a problem for habitats of freshwater pearl mussels (Margaritifera margaritifera). These relatively fine sediments get remobilized already at mean discharge conditions, leading to mechanical stress on the mussels. Further, this increases flood risk in certain river stretches. Thus, removal of the sediment is a necessity. Due to economic and ecological reasons, riverbed dredging should be avoided. In present work, a nature-based solution for self-dynamic desanding (SDD) was investigated with physical model experiments. Through SDD, sediment shall be deposited on the floodplain during high-flow conditions, where it can be removed cheaply without in-stream work.

The physical experiments were based on a stretch of the Malše River at the Austrian/Czech border in 1:20 scale and conducted in three stages. At first, in-stream measures were investigated to optimize the transport of sediment from the main channel onto a lowered floodplain. Secondly, measures on the lowered floodplain were developed to optimize deposition. Finally, these measures were tested in a quasi-unsteady flow scenario based on a one-year flood wave. Through these experiments, SDD was improved and the descending branch of the flood wave was established to be a decisive factor on the efficiency of the proposed measures, as deposited material was washed back into the main channel. Modifications of the developed measures mitigated this issue, leading to a slightly lower deposition than in the steady case. In the end, the model showed a capacity (in nature scale) of up to 14.6 m³ of deposited sand on an area of about 120 m² .

How to cite: Worf, D., Humenberger, S., Flödl, P., Sindelar, C., and Hauer, C.: Development of self-dynamic desanding measures through physical model experiments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7729, https://doi.org/10.5194/egusphere-egu26-7729, 2026.

EGU26-8899 | PICO | HS9.7

Development and Field Application of a Pumping-Based Automatic and Remote Suspended Sediment Sampling System 

ChanJae Lee, Jaehyuk Lee, Kwangtae Choi, Hokun Chung, Sanguk Woo, and Youngsin Roh

Suspended sediment concentration (SSC) in rivers is commonly measured using depth-integrated sampling with a D-74 sampler. Although this method provides reliable reference data, it requires manual operation from bridges using winches, which involves considerable manpower and cost and poses significant safety risks, particularly during flood events. Due to these operational constraints, SSC measurements in Korea are conducted at only a limited number of stations each year despite the existence of a nationwide sediment monitoring network. To address this limitation, recent studies have actively explored indirect SSC estimation techniques based on acoustic backscatter intensity measured by horizontal acoustic Doppler current profilers (H-ADCPs). However, the application of such techniques critically depends on the availability of in situ SSC samples for calibration and validation. In this study, a pumping-based automatic and remote suspended sediment sampling system was developed to overcome the limitations of conventional manual sampling methods and to enable continuous and safe sampling during flood events and night time conditions.

 

The developed system consists of a sampling unit, a pumping unit, a control unit based on a remote terminal unit (RTU), and power supply and communication units. The sampling unit was designed with a multi-channel structure to sequentially fill multiple sample bottles in a single operation, and a strain-gauge-based load cell was applied to control the sampled mass with a resolution of 10 g. The pumping unit was designed to ensure stable water intake under high-turbidity and high-flow conditions. The control unit was configured based on a remote terminal unit (RTU) to integrate pump operation, sampling sequence control, sampled mass monitoring, and system status diagnostics. The control program supports both manual operation and automatic scheduling, and implements time-based and event-triggered sampling control schemes to enable unattended operation.

 

The system was deployed at a natural river site and operated under various flow conditions. Field application results showed that SSC samples collected by the automatic system exhibited similar concentration trends compared to those obtained by conventional manual sampling. Furthermore, continuous and unattended sampling was successfully achieved during flood conditions without on-site human intervention. The results indicate that the proposed system effectively improves operational safety and efficiency in suspended sediment sampling and can serve as a practical infrastructure for enhancing sediment monitoring networks.

 
This work was supported by the Ministry of Climate, Energy, and Environment (MCEE), Republic of Korea (Grant No. RS-2024-00397970).

How to cite: Lee, C., Lee, J., Choi, K., Chung, H., Woo, S., and Roh, Y.: Development and Field Application of a Pumping-Based Automatic and Remote Suspended Sediment Sampling System, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8899, https://doi.org/10.5194/egusphere-egu26-8899, 2026.

Most sediments in the Loess Plateau of Yellow River basin originate from the gullied-hilly loess terrain, with approximately 50% deriving from gully systems which is the dominant geomorphological features. Accurately simulating the water and sediment processes in this area remains challenging due to the intricate sediment generation mechanisms within the slope-gully-river cascading systems. This study presents an enhanced version of the physically-based distributed hydrological model WEP-SED to reflect the influence of topographic slope variations on sediment production and transport processes.

The WEP-SED employs a three-tiered hierarchical structure (slope-gully-river continuum) to simulate coupled water-sediment dynamics (Fig. 1), which includes splash erosion, runoff & overland flow erosion, conflux & erosion in slope-gully, gravity erosion, conflux & sediment transport, and conflux & sediment transport.In the new model, the contour band in the sub-watershed is changed to upper-middle-down slope band, which is designed to better resolve slope-dependent erosion dynamics. This spatial discretization methodology accounts for both hydrological flow paths and local slope gradients, enabling more precise representation of erosion processes across varying topographic conditions, especially the mechanism of seriously soil erosion in the steep slope terrain and sedimentation in the valley floor of the gully. The refined sediment transport mechanisms within each slope band are schematically depicted in Figure 2. The breakpoint for the three slope band is 10°, one is the first one from top to bottom, the other is the first one from bottom to top, where the slope is just change over 10°. In the upper gentle slope band, the splash erosion and runoff & overland flow erosion is considered; in the middle steep slope band, splash erosion, runoff & overland flow erosion, conflux & erosion in slope-gully, gravity erosion is considered; in the down gentle slope band, splash erosion, runoff & overland flow erosion, gravity erosion, conflux & sediment transport in gully and river is considered.

The enhanced model was implemented in the Nanxiaohe sub-watersheds to investigate erosion-sediment dynamics during seven flood events in August 2009. It indicates that the model performs a relatively good fitness in simulating the water and sediment processes, and reflects the erosion difference in seven flood events. According to the model simulation results, the middle steep slope band constituted the dominant sediment source (70%), followed sequentially by down gentle slope band (27%) and the Upper gentle slope band has the smallest contribution. Thus, the enhance model could reflect the slope impact on sediment erosion and transport in Loess Plateau, which could be used for the benefit evaluation of soil and water conservation engineering projects.

Fig 1. A schematic illustration of the model structs and principle of the WEP-SED model.

Fig.2 Schematic diagram of geomorphic unit division

 

How to cite: Liu, J., Wang, K., and Zhou, Z.: Study on water and sand simulation in Loess Plateau considering slope difference of land surface, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9370, https://doi.org/10.5194/egusphere-egu26-9370, 2026.

A major concern of the scientific community working on deep lakes is the progressive isolation and consequent de-oxygenation that have been observed in the last decades. The distribution of the dissolved substances in a deep lake, such as oxygen and nutrients, is controlled by the action of wind-induced stresses, penetrative convection by surface cooling and density-driven plumes. The extent of deep circulation is thus the outcome of the competition between density stratification and the drivers of mixing, acting at the surface and at the boundary of the lakes.

Lake Iseo is a large (61 km²) and deep (256m) Italian subalpine lake, fed by two main tributaries with an overall average annual inflow of 55 m3/s. The first detailed scientific analysis documents a monomictic lake, characterized by deep water with 70% oxygen saturation. However, since the second half of the 1980ies the deep-water recirculation has been insufficient. The monimolimnion has become depleted of oxygen, has become enriched with solutes and had gradually warmed with rates that could be estimated approximately ~0.05°C/year.

In this contribution, we discuss the role of the chemical stratification of lake Iseo, induced by a gradient in calcium, bicarbonate and sulphate ions, in reducing the deep-water oxygenation.  At this purpose, we computed the stability of the lake, by coupling a site–specific density equation to the high-resolution time series of lake’s ware temperature and conductivity data, and we quantified the external forcings from high-resolution wind, discharge and tributaries’ temperature data. We thus estimated the time series of the resistance by the chemical stability to wind upwelling and to rivers’ underflows. We finally showed that the progressive deep-water warming that followed the isolation of the monimolimnion has strongly decreased the lake’s thermal stability, counteracting the chemical stratification in the last 8 years. We finally concluded that it does not seem that chemically stratified deep lakes are necessarily doomed to anoxia, but on the contrary to periods of longer isolation alternated by sporadic deep oxygenation triggered by deep warming.

How to cite: Valerio, G. and Pilotti, M.: Reduced effectiveness of wind and tributaries in the deep oxygenation of a chemically stratified lake. , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9682, https://doi.org/10.5194/egusphere-egu26-9682, 2026.

EGU26-12430 | ECS | PICO | HS9.7

Suspended Sediment Capture and Buffering by a Tropical Wetland Complex from Satellite Observations 

Lukas WinklerPrins, Jorge Salgado, and Fernando Jaramillo

The Magdalena River, Colombia, has the highest sediment yield of any major South American river. This high natural level and recent land cover change in the watershed have exacerbated the sediment load and deposition in the river's lowland floodplains. Excess sediment delivery has led to concerns regarding the ecological integrity of its floodplains and lakes, coral reef burial at the river mouth, and increased dredging needs. The largest floodplain system of the river, the Momposina Depression–a vast wetlandscape formed by > 100  interconnected wetlands, lakes, and floodplains where the Magdalena and Cauca rivers meet, including two Ramsar-designated sites–is accumulating and potentially buffering a large portion of this excess sediment load. However, mechanistic descriptions and seasonal-to-decadal variability of these processes are poorly understood. To fill this gap, we use MODIS and Sentinel-1 imagery at monthly timescales to investigate the spread of turbid water across the system and build a conceptual model for how sediment is captured and remobilized. We find that flooding in the early wet season can have turbidities as large as the highest-discharge periods, but turbidity can vary +/- 40% and flow is generally constrained to the main channels, thus leading to lower consistent floodplain sedimentation delivery. Later in the seasonal flood pulse, overbanking river water inundates areas up to 146% area more than typical dry seasons and, and the highest average sediment loads (>20,000 mg/L) in September–often more than twice that in the dry season–suggest that this late-season pulse drives most wetland sedimentation, before water levels recede for the incoming dry season. This seasonal-scale sediment capture also depends on ENSO cycles, local precipitation, and modifications to the hydrology by hydropower infrastructure, but despite higher in-channel turbidities during wet La Niña cycles, it is not clear if sediment associated with these cycles reaches off-channel wetlands. Our findings suggest the wetlandscape provides critical sediment retention, an overlooked ecosystem service with implications across the lower river reaches and estuary, but with high degrees of spatial and temporal variability. To reduce excessive sedimentation in this wetlandscape and downstream–including a degraded Ramsar-designated wetland and coral reefs at risk of burial–management and research initiatives should recognize the role of floodplain wetlands in sediment capture and flux buffering. 

How to cite: WinklerPrins, L., Salgado, J., and Jaramillo, F.: Suspended Sediment Capture and Buffering by a Tropical Wetland Complex from Satellite Observations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12430, https://doi.org/10.5194/egusphere-egu26-12430, 2026.

EGU26-13389 | PICO | HS9.7 | Highlight

Sediment transport assessment and dynamics during and after the largest dam removal in U.S. history on the Klamath River, Oregon and California, USA 

Liam Schenk, Scott Wright, Patrick Haluska, Grant Johnson, Joshua Cahill, Jennifer Curtis, and Amy East

In many regions worldwide, dam removal is being considered as a means to restore rivers and to remove hazards and liabilities associated with aging infrastructure. The pace and scale of dam removals has increased exponentially in the past two decades, providing a rapidly growing knowledge base with which to evaluate the consequences and effectiveness of breaching and removing dams. The largest dam removal in U.S. history on the mainstem Klamath River in Oregon and California, USA, has presented novel suspended-sediment transport conditions by giving the river access to sediment accumulating in the reservoirs since 1918.  Three large dams were removed simultaneously in 2024, and one low-head dam was removed in 2023. Turbidity monitoring and suspended-sediment concentration (SSC) sampling were conducted before, during, and after the dam removals as part of an inter-agency collaborative effort that included the dam removal entity (Klamath River Renewal Corporation), private consultants, the Karuk and Yurok indigenous tribes in California, and the U.S. Geological Survey (USGS).  These data were used to generate ordinary-least-squares regression models to compute time series of SSC and suspended-sediment loads at six mainstem USGS streamgages spanning 300 river kilometers downstream of the former dam sites.  The reservoir drawdowns prior to dam removal introduced large amounts of fine-grained sediment into the coarse-grained river corridor causing elevated turbidity and peak SSC of approximately 30,000 mg/L.  Multiple stages of the dam removal process, including reservoir drawdown, geomorphic flows for sediment mobilization, and the breach of historic cofferdams, resulted in dynamic sediment-transport conditions.  This work provides insight into differences between fine-sediment transport related to dam removal and natural sediment transport events in this large 40,000 km2 basin.

How to cite: Schenk, L., Wright, S., Haluska, P., Johnson, G., Cahill, J., Curtis, J., and East, A.: Sediment transport assessment and dynamics during and after the largest dam removal in U.S. history on the Klamath River, Oregon and California, USA, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13389, https://doi.org/10.5194/egusphere-egu26-13389, 2026.

EGU26-13393 | ECS | PICO | HS9.7

Hydrodynamic effects on sulfamethoxazole adsorption on river sediments: Insights from bench-scale and flume experiments 

Mengyun Wang, Mario Morales-Hernández, Pilar Brufau, Pilar García-Navarro, Rita Fernandes de Carvalho, Rui Martins, Eva Domingues, and Pedro Dinis

River sediments play a crucial role in controlling the adsorption of contaminants in aquatic environments and act as major sinks for a wide range of organic pollutants, thereby significantly influencing the environmental fate of contaminants. In natural river systems, contaminant-sediment interactions occur under dynamic hydrodynamic conditions, which can alter mass transfer and adsorption processes. However, most existing studies rely on static batch experiments and therefore fail to capture flow-induced effects on contaminant adsorption by sediments. This limitation restricts the understanding of adsorption behavior under realistic flow conditions. In this study, sulfamethoxazole (SMX) is selected as a representative emerging contaminant to investigate how sediment properties and flow regimes jointly regulate adsorption behavior by integrating bench-scale tests with flume experiments.

Bench-scale results revealed a discrepancy between predicted and observed adsorption effectiveness among four sediments (Rebolim, Figueira da Foz, Doñana, and Mira). Mineralogical assessments suggested superior performance of sediments rich in reactive minerals (e.g., smectites), particularly those from Figueira da Foz. However, experimental results identified the sediments from Rebolim as the most effective adsorbent. This discrepancy indicates that the presence and accessibility of organic matter (OM), rather than mineral abundance alone, can govern adsorption performance. Notably, the removal of OM significantly reduced adsorption capacity, confirming its dominant role in SMX uptake. Furthermore, the results highlight a distinction between adsorption kinetics and ultimate capacity, as some sediments exhibited rapid initial uptake but limited long-term adsorption potential.

Flume experiments further demonstrated that hydrodynamic conditions fundamentally reshape the spatiotemporal distribution of SMX. In low-flow regimes, transport follows a classical advective-dispersive model with clear longitudinal gradients. Conversely, high-flow regimes induce intense turbulence, leading to near-instantaneous vertical and longitudinal homogenization. Crucially, a non-monotonic relationship was observed between flow velocity and SMX attenuation: moderate turbulence enhances adsorption by increasing contact frequency at the sediment-water interface, whereas high velocities inhibit net adsorption due to hydrodynamic flushing and reduced residence time.

These findings provide a more comprehensive framework for understanding the transport and adsorption fate of emerging contaminants in riverine systems. Future work will extend the current steady-state flow conditions to unsteady flow regimes to better understand the adsorption behavior under dynamic hydraulic conditions.

How to cite: Wang, M., Morales-Hernández, M., Brufau, P., García-Navarro, P., Fernandes de Carvalho, R., Martins, R., Domingues, E., and Dinis, P.: Hydrodynamic effects on sulfamethoxazole adsorption on river sediments: Insights from bench-scale and flume experiments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13393, https://doi.org/10.5194/egusphere-egu26-13393, 2026.

EGU26-14865 | PICO | HS9.7

Assessment of Heavy Metal Mobilization in Zinc Hydrometallurgy Residues and Their Environmental Impact 

Carmen Pérez-Sirvent, Maria Jose Martínez Sanchez, Carmen Hernandez Perez, Manuel Hernandez Cordoba, and Antonia Solano

 

This study analyzes the natural and induced mobilization of lead (Pb), cadmium (Cd), and arsenic (As) present in residues generated during zinc hydrometallurgy, aiming to evaluate their environmental impact and associated risks under uncontrolled conditions. Differential X-ray diffraction was employed to characterize mineralogical and amorphous phases under simulated environmental scenarios. Results indicate that all samples exhibit high susceptibility to releasing potentially toxic elements (PTEs) depending on environmental conditions.

Chemical characterization of residues and runoff waters from affected areas was performed, determining pH, electrical conductivity, salt content, and total and soluble concentrations of Zn, Pb, Cd, and As. Subsequently, toxicity bioassays (Microtox®, Ostracods, Gammarus, and Phytotest) were applied to leachates and contaminated waters. Mineralogical analysis identified previous industrial processes that influence physicochemical properties and PTE mobility.

The most critical scenarios correspond to: (i) natural mobilization of Cd and Zn due to rainfall, and (ii) changes in redox conditions in anoxic environments (flooding or incorporation of organic matter), that promote the reduction of  As (V) to As (III) . High concentrations of soluble salts increase hazard potential, generating ecotoxicological risks and potential carcinogenic effects through oral ingestion

Results confirm elevated levels of heavy metals and significant toxic effects in residues and associated waters, highlighting the need to implement preventive measures and management strategies to minimize environmental and health impacts.

How to cite: Pérez-Sirvent, C., Martínez Sanchez, M. J., Hernandez Perez, C., Hernandez Cordoba, M., and Solano, A.: Assessment of Heavy Metal Mobilization in Zinc Hydrometallurgy Residues and Their Environmental Impact, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14865, https://doi.org/10.5194/egusphere-egu26-14865, 2026.

EGU26-15314 | ECS | PICO | HS9.7

A Century of Trace Metal Accumulation Recorded in Lake Maninjau Sediments, Indonesia 

Sharon Inyangala, Yael Kiro, and Nicolas Waldmann

Toxic trace elements preserved in lacustrine sediments provide valuable archives of long term environmental change yet their historical accumulation remains poorly constrained in rapidly developing regions. We investigate century scale trace metal variability using a well dated sediment core retrieved from the depocenter of Lake Maninjau, Indonesia. Sediment chronology was established using 210Pb dating and a high resolution multiproxy geochemical analysis of trace and major elements (ICP-MS, XRF) including total organic carbon (TOC). Cu, Zn, Pb, and Cd show a gradual increase from the early to mid-20th century followed by a pronounced enrichment in the early 2000s. This recent intensification is most evident for Cd which remains relatively stable earlier in the record before increasing sharply in the last two decades. In contrast Pb exhibits a decline in concentrations during the most recent period. These geochemical changes coincide with a marked increase in TOC beginning around the mid-20th century and a transition from detrital dominated sediments to diatom enriched facies indicating a shift in Lake Maninjau’s depositional regime. The pronounced metal enrichment in the last two decades temporally coincides with the period of intensified aquaculture activity in the lake. The co-variation between TOC and trace metal enrichment suggests that increased organic loading associated with aquaculture expansion enhanced trace metal accumulation under changing depositional conditions. This study demonstrates a clear intensification of trace metal accumulation and organic matter deposition in Lake Maninjau over the last century highlighting the value of sediment records for assessing long term pollution trajectories and environmental changes in tropical lake systems.

How to cite: Inyangala, S., Kiro, Y., and Waldmann, N.: A Century of Trace Metal Accumulation Recorded in Lake Maninjau Sediments, Indonesia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15314, https://doi.org/10.5194/egusphere-egu26-15314, 2026.

EGU26-15619 | ECS | PICO | HS9.7

Under-ice Thermal and Oxygen Dynamics in Saline Lakes from the Tibetan Plateau 

Jinlei Kai, Junbo Wang, Jianting Ju, Hua Wang, and Liping Zhu

Dissolved oxygen (DO) is crucial for aquatic ecological and biogeochemical processes in lakes, yet under-ice thermo- and DO dynamics, particularly in saline alpine lakes, remain poorly understood. This study examines DO, temperature, and salinity in three brackish lakes (Selin Co, Nam Co, Bamu Co) on the central Tibetan Plateau. The results reveal that solutes redistribution after ice-on strongly shaped under-ice thermal structures and DO regimes. Early ice-on period, all lakes exhibited unusual hypolimnetic DO ventilation, which was triggered by benthic solutes accumulation in snowy winter and penetrative heating in snow-free conditions. In more salt lakes (Selin Co and Bamu Co with average salinity of 11.42 ± 0.04 and 12.16 ± 0.05 g L-1, respectively), as high salinity lowered the temperature of maximum density (Tmax, 1.20 and 1.35 °C for Bamu Co and Selin Co) and enhanced solute gradients, the atypical under-ice warm stratification formed approximately two weeks before ice-off. In Bamu Co, along with the warm stratification, the dissolved oxygen showed a abrupt increased to supersaturated from the surface to ~23.2 m below the surface, suggesting abundant biological productions. Subsequently, combined warm thermal and chemical stratification inhibited DO ventilation after ice break-up, except during some instantaneous mixing events. These findings highlight the critical role of salinity gradients in shaping thermal dynamics and oxygen transport in ice-covered saline lakes, offering mechanistic insights into global limnological responses to warming and brine rejection.

How to cite: Kai, J., Wang, J., Ju, J., Wang, H., and Zhu, L.: Under-ice Thermal and Oxygen Dynamics in Saline Lakes from the Tibetan Plateau, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15619, https://doi.org/10.5194/egusphere-egu26-15619, 2026.

Particulate bioavailable phosphorus (PBAP) plays a critical role in biogeochemical cycling and primary productivity in aquatic ecosystems, particularly in ecologically vulnerable alpine regions such as the Yarlung Tsangpo River. However, the understanding of PBAP dynamics remains limited due to the complex interaction and transport processes. To address this gap, we developed a mathematical model that integrated hydrodynamics, sediment transport, and the dynamics of dissolved and particulate phosphorus to investigate PBAP transport with sediment.  PBAP bound to sediment was represented by coupling sediment mineral properties and environmental factors. Lateral inputs of water, sediment, and phosphorus from the watershed were incorporated using the Soil and Water Assessment Tool (SWAT). The model was applied to the Yarlung Tsangpo River and successfully reproduced PBAP distributions, with spatiotemporal concentrations ranging from 0.20 to 0.38 mg g−1, consistent with field measurements. The estimated annual PBAP flux was 2.77 Gg yr−1, partitioned as 46.0% Ex‑P, 37.7% Fe‑P, and 16.3% Al‑P, which exceeded the flux of dissolved phosphorus (~0.80 Gg yr−1). Furthermore, over 95% of annual PBAP flux occurred between June and September, indicating strong temporal variability in PBAP dynamics within monsoonal alpine basins. This model advances process-based quantifications of PBAP dynamics and has far-reaching implications for water resources research and management.

How to cite: Zhou, Y., Fang, H., and Huang, L.: Mathematical modeling for interactions and transport of particulate bioavailable phosphorus with sediment in the Yarlung Tsangpo River, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15671, https://doi.org/10.5194/egusphere-egu26-15671, 2026.

EGU26-15891 | ECS | PICO | HS9.7

BCR fractionation of mine-affected sediments as a basis for NbS design and implementation 

Erika Yessenia Cuida López, Hana Fajković, Sanda Rončević, Yulia Mun, Sabina Palinka, and Anca Iulia Stoica

Acid mine drainage (AMD) poses a persistent threat to freshwater ecosystems by causing acidification and mobilizing heavy metals that have adverse effects on aquatic biota. Especially in Arctic regions, these impacts are amplified by the changing redox conditions due to the low temperatures and seasonal ice cover. Nature-based solutions (NBS), including constructed wetlands, offer an ecologically friendly option to remediate the water quality under various environmental conditions, including AMD. Before developing an NbS to mitigate AMD, we analyze sediment composition in the target area to understand heavy metal behavior, including water–sediment transfer and their potential (bio) availability. Langvatnet Lake, located in northern Norway, functions as the main receiving water body and the lowest point within the historic Sulitjelma mining district, where extensive metal mining activities (primarily copper and zinc extraction) occurred for more than a century (Davids, 2018). These long-standing operations have resulted in highly acidic inflows originating from abandoned mine workings that, despite being closed, continue to leak acidic water and generate small drainage streams that flow into the lake. This ongoing discharge transports elevated concentrations of dissolved metals, contaminating both the water column and lake sediments. While the overarching aim of this research is to develop and evaluate NbS strategies to improve the water quality of the inlet streams, our first step is to quantify how mine-derived contaminants accumulate, persist, and potentially remobilize within lake sediments. Therefore, we use the Community Bureau of Reference (BCR) sequential extraction procedure to quantify the heavy metal concentration in different geochemical fractions of the sediments (Rauret et al., 1999). The inlet samples are compared with a range of sediment samples from the lake’s surrounding areas. This approach enables us to assess their potential release under varying environmental conditions. By identifying the dominant binding fractions, this contributes to designing the best suitable NbS for the investigated area. Our findings provide a basis for understanding the local sediment geochemistry in relation to the targeted remediation strategy. In this context, improved understanding of sediment-water interactions supports the development of resilient, passive NBS to enhance water quality, promote ecosystem recovery, and ensure long-term sustainability in AMD-impacted Arctic Lake systems.

 

References:

Davids, C. (2018). Mapping of abandoned mine tailings and acid mine drainage using in situ hyperspectral measurements and WorldView-3 satellite imagery (Case Study Report No. 20/2018). Northern Research Institute.

Rauret, G., López-Sánchez, J. F., Sahuquillo, A., Rubio, R., Davidson, C., Ure, A., & Quevauviller, Ph. (1999). Improvement of the BCR three step sequential extraction procedure prior to the certification of new sediment and soil reference materials. Journal of Environmental Monitoring, 1(1), 57–61. https://doi.org/10.1039/a807854h

How to cite: Cuida López, E. Y., Fajković, H., Rončević, S., Mun, Y., Palinka, S., and Stoica, A. I.: BCR fractionation of mine-affected sediments as a basis for NbS design and implementation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15891, https://doi.org/10.5194/egusphere-egu26-15891, 2026.

The Mekong–Tonle Sap Lake–Delta system supports highly productive floodplain ecosystems and regional food security, in part through the delivery of nutrient-rich suspended sediment. However, this sediment pathway is strongly modulated by the flood-pulse–driven “reverse flow” at the Mekong–Tonle Sap confluence: during the wet season, high Mekong stages drive net inflow from the mainstream into Tonle Sap Lake, whereas during the dry season the lake releases stored water back to the mainstream and onward to the delta. How this bidirectional exchange reshapes sediment delivery—specifically whether Tonle Sap acts as a net sink or a net source of suspended sediment for the downstream Mekong—remains poorly quantified. Most existing assessments approximate delta sediment supply using upstream stations and do not resolve the river–lake exchange, largely because near-confluence discharge and continuous sediment observations are limited.

Here we develop an integrated modelling framework that couples a physically based, spatially distributed hydrological model with Delft3D-Flow hydrodynamics to reconstruct daily discharge and river–lake exchange over the last ~35 years, including the reversal period. We then estimate suspended sediment fluxes using seasonally stratified, hysteresis-aware rating curves that account for distinct sediment–discharge relationships on rising versus falling limbs of the hydrograph. Combining daily exchange discharge with the corresponding rating-curve sediment concentrations enables a bidirectional suspended-sediment budget across the Tonle Sap River, separating wet-season import to the lake from dry-season export back to the mainstream.

During the historical baseline (1980–2000), we estimate that the Mekong mainstream delivers ~4 Mt yr⁻¹ of suspended sediment into the lake on average, and a comparable magnitude is returned to the mainstream during the dry season, indicating that Tonle Sap primarily acts as a transient store rather than a sustained additional sediment source to the downstream system. In the mega-dam period (2010–2025), despite substantially reduced upstream sediment supply, the river–lake exchange continues to route similar volumes of water into the lake, but the suspended-sediment contribution released from the lake does not compensate for the mainstream deficit. These results suggest that reverse-flow dynamics alone do not sustain suspended-sediment delivery to the Mekong Delta under contemporary sediment scarcity, with implications for nutrient replenishment, recession agriculture, and floodplain productivity.

How to cite: Morovati, K. and Tian, F.: Reverse flow control on suspended-sediment exchange between Tonle Sap Lake and the Mekong River under historical and mega-dam regimes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16157, https://doi.org/10.5194/egusphere-egu26-16157, 2026.

Phosphorus is an essential nutrient in aquatic ecosystems. Its concentration in surface waters regulates primary productivity, whereas excessive loading promotes eutrophication and associated water-quality degradation. Rivers are major conduits for phosphorus transport from land to downstream lakes, reservoirs, estuaries and coastal waters, with both water and sediment acting as primary carriers of phosphorus in river systems. Human activities and climate change have substantially altered water and sediment regimes in rivers worldwide. However, the resulting changes in the patterns and statistical characteristics of riverine phosphorus transport remain insufficiently quantified, despite their importance for managing aquatic ecosystem health.

Using the Mississippi River basin as a case study, we compiled long-term observations of river discharge, suspended sediment concentration and total phosphorus concentration from 1970 to 2020, and statistically analysed the patterns of riverine phosphorus transport and its relationships with water and sediment. To account for changes in water-quality and environmental policies within the basin, we further divided the record into two sub-periods (1971–1990 and 2001–2020) and considered the full period 1970–2020 for comparison. We developed a multiple linear regression framework to quantify interactions between phosphorus export, discharge and suspended sediment concentration, and to assess how watershed characteristics influence phosphorus transport under different flow conditions. This framework was used to characterise the temporal and spatial variability of phosphorus transport across the Mississippi River basin and to disentangle the effects of human activities and climate variability.

We find that phosphorus transport is source limited and negatively correlated with basin area under low-flow conditions. Human activities are strongly associated with phosphorus transport, with population density influencing total phosphorus concentrations both directly and indirectly through the TP–discharge and TP–suspended sediment concentration relationships. The interception effect of reservoirs on total phosphorus export increases with their regulation capacity, while trends in total phosphorus concentration are positively related to changes in precipitation and predominantly negatively related to vegetation cover. Our study provides a basin-scale perspective on source-to-sink fluvial phosphorus transport, offering critical insights for sustainable phosphorus management and for the integrated management of riverine and coastal ecosystems.

How to cite: Xu, J.: Riverine phosphorus transport and its statistical coupling with discharge and suspended sediment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16285, https://doi.org/10.5194/egusphere-egu26-16285, 2026.

Pharmaceuticals and personal care products (PPCPs) from wastewater discharge are increasingly detected in urban river systems; however, their subsurface fate and transport remain poorly understood at the field scale. Here, we investigate the vertical migration and subsurface distribution of emerging organic contaminants (EOCs) at three anthropogenically impacted sites in the Yamuna River basin, Delhi, India: the Yamuna Riverbank, a major urban drain that discharges directly into the river, and an artificial lake that receives treated wastewater effluent. Target compounds included antibiotics, endocrine-disrupting compounds, prescription and over-the-counter pharmaceuticals, sewage-associated tracers, and an artificial sweetener.

Soil samples spanning the vadose and saturated zones were collected down to 30 m below ground level using standard penetration testing and the bailer (“Boki”) method. Nested piezometers enabled the spatiotemporal monitoring of surface water and groundwater in shallow, intermediate, and deep layers over a one-year period.

Deep penetration of PPCPs was observed at all three sites, with at least ten target compounds quantified in both soils and groundwater down to a depth of 30 m. Estrone exhibited the highest concentrations in soils, while non-steroidal anti-inflammatory drugs were the most frequently detected compound class across sites. Seven compounds showed detection frequencies exceeding 90% in soils at all three sites. Multivariate statistical analyses linked compound-specific distribution patterns to soil chemistry and subsurface hydrogeology. Stable isotope analysis (δ¹⁸O, δ²H) and fluorescence dissolved organic matter (fDOM) characterisation were applied to elucidate surface water–groundwater interactions. Soil mineralogy and elemental composition were characterised using X-ray diffraction (XRD) and X-ray fluorescence (XRF) to assess geochemical controls on contaminant retention and mobility.

In addition to targeted monitoring of 27 compounds, suspect and non-target screening was conducted on surface and groundwater samples to identify transformation products and to assess the influence of redox and geochemical conditions on subsurface transformation processes. Laboratory-scale batch sorption and biodegradation experiments conducted at environmentally relevant concentrations were used to support the interpretation of field-scale observations.

These results demonstrate that PPCPs can migrate vertically through soils and persist across both the vadose and saturated zones, with significant implications for groundwater quality, particularly in regions where rivers serve as both wastewater receivers and aquifer recharge zones.

How to cite: Gupta, S., Singh, D., Vellanki, B. P., and Boving, T.: From Surface Water to Deep Groundwater: Field Evidence of Fate and Transport of Pharmaceuticals and Personal Care Products (PPCPs) in Urban Alluvial Systems of Delhi, India, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16820, https://doi.org/10.5194/egusphere-egu26-16820, 2026.

Soil erosion and sediment transport pose major challenges for river basin management in India, where
intense monsoon rainfall, diverse physiography, and rapid land-use change generate high and spatially
variable sediment fluxes causing significant challenges like reservoir siltation, soil degradation, and
downstream coastal impacts. However, sediment quantification through modeling at national and basin
scales in India is often constrained by data availability, input data selection and other uncertainties
associated with the choice of empirical options in the models. This study aims to explicitly quantify and
assess input data source–induced uncertainty in the InVEST Sediment Delivery Ratio (SDR) model driven
at 1km resolution for major Indian River basins (viz. Sabarmati, Narmada, Baitarani, and Tapi) for the
period 2005–2019. The adopted multi-input modeling framework utilized several datasets, including
topography from the HydroSHEDS digital elevation model, land use and land cover from HILDA+, rainfall
erosivity (R factor) derived from ERA5 hourly precipitation data using the EI60 formulation,
Furthermore, the rainfall erosivity was computed using five empirical kinetic energy relationships
(Wischmeier & Smith; Brown & Foster; McGregor et al.; Van Dijk et al.; Meshesha et al.) to capture
methodological uncertainty in rainfall intensity representation. Four soil erodibility (K factor)
combinations were generated based on two data sources and two estimation methods: (1) HWSD–EPIC,
(2) HWSD–Nomograph, (3) SoilGrids–EPIC, and (4) SoilGrids–Nomograph . In total, 20 rainfall
erosivity–soil erodibility input combinations were created by systematically varying the erosivity and
erodibility datasets and estimation methods within the InVEST SDR model, using its default
configuration settings. Results indicate strong basin-specific sensitivity to input data selection, with
rainfall erosivity emerging as the dominant control on sediment export, followed by soil erodibility and
then topographic controls (LS factor). Sediment export estimates showed comparatively lower
uncertainty for the Sabarmati and Narmada basins, followed by Baitarani and Tapi. The study highlights
that input data choice represents a major source of uncertainty in large-scale sediment modelling in
India river basins and underscores the need for transparent evaluation of data-driven variability prior to
calibration.

How to cite: Shah, M., Kumar, R., and Remesan, R.: Quantification and evaluation of input data source induced uncertainty in the InVEST sediment exportmodelling framework for major Indian River basins, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17714, https://doi.org/10.5194/egusphere-egu26-17714, 2026.

EGU26-17893 | PICO | HS9.7

Stochastic hydro‑sedimentary modelling of arsenic mobilisation and downstream propagation in a coupled slope–channel–lake system 

María Sánchez-Canales, Fernando Barrio Parra, Irene Berbel, Lucía Álvarez-Mejías, Humberto Serrano Garcia, Jaime Montalvo-Piñeiro, Miguel Izquierdo-Diaz, and Eduardo De Miguel

The transfer of sediment‑bound contaminants from unstable hillslopes into fluvial and lacustrine environments is governed by the interaction between geomorphic processes, hydrological connectivity and sediment transport dynamics. This study develops a quantitative modelling framework to assess the mobilisation of arsenic (As) from a contaminated slope and its potential downstream propagation through an integrated slope–channel–lake system.

High‑resolution terrain data were used to parameterise slope geometry and derive section‑scale morphometric attributes relevant to sediment detachment and mass‑failure susceptibility (slope gradient, contributing area, profile curvature and cross-sectional geometry). Spatially distributed As concentration measurements were incorporated into a stochastic Monte Carlo model, which simulated 10,000 realisations of contaminant mass for each slope section using distribution-specific sampling to represent data variability. Mobilizable sediment volumes were estimated using geometrically constrained maximum‑failure envelopes, enabling derivation of event‑scale sediment yields.

Hydrological and sediment connectivity were conceptualised through a simplified source–pathway–receptor model. Collapse scenarios representing 10%, 20%, 30%, 50% and 100% slope mobilisation were propagated downstream assuming full sediment transfer efficiency and no attenuation processes such as channel storage, hyporheic exchange, settling velocity effects or precipitation–adsorption dynamics. This approach represents an upper-bound transfer model suitable for preliminary contaminant‑risk assessment.

Total As mass stored in the slope was estimated at approximately 458 kg. Model outputs indicate that even under complete slope failure, the resulting concentration in the receiving lake remains marginally below the commonly adopted 0.010 mg/L threshold for potable water, whereas partial‑failure scenarios yield concentrations an order of magnitude lower. Sensitivity analyses demonstrate that predictions are strongly influenced by bulk density assumptions, connectivity ratios and sediment pulse magnitudes, highlighting the importance of probabilistic approaches for representing parameter uncertainty.

These findings underscore the need to integrate hydro‑sedimentary modelling, geomorphic characterisation and stochastic uncertainty quantification when assessing contaminant transport in catchment‑scale systems. The methodology presented provides a transferable framework for evaluating contaminant propagation where legacy mining residues persist in erosion‑prone, hydrologically connected terrain.

How to cite: Sánchez-Canales, M., Barrio Parra, F., Berbel, I., Álvarez-Mejías, L., Serrano Garcia, H., Montalvo-Piñeiro, J., Izquierdo-Diaz, M., and De Miguel, E.: Stochastic hydro‑sedimentary modelling of arsenic mobilisation and downstream propagation in a coupled slope–channel–lake system, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17893, https://doi.org/10.5194/egusphere-egu26-17893, 2026.

EGU26-19085 | ECS | PICO | HS9.7

Benthic fauna-mediated bed load sediment transport dynamics 

Zonghong Chen

Benthic fauna plays a critical role in mediating bed load sediment transport, an essential process influencing wetland restoration, water quality, coastal protection, and nutrient cycling. However, predictive models quantifying this biological mediation remain absent due to limited mechanistic understanding. Here, we develop a high-fidelity computational model coupling fluid flow, sediment dynamics, and benthic activity to quantify benthic fauna-mediated bed load transport. We show that benthic presence can reduce transport rates by up to 50%, primarily through two mechanisms: bioroughness-induced effective shear stress reduction and bioturbulence-driven wake zone expansion. Building on these insights, we propose two predictive formulas that align well with field data. These findings offer the first quantitative framework for bed load prediction in benthos-dominated environments and sheds light on sediment dynamics central to benthic morphodynamics.

How to cite: Chen, Z.: Benthic fauna-mediated bed load sediment transport dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19085, https://doi.org/10.5194/egusphere-egu26-19085, 2026.

EGU26-19124 | PICO | HS9.7

Mobilization of particulate matter in intermittent and forested headwater streams 

Núria Martínez-Carreras, Laurent Gourdol, and Jean François Iffly

Headwater streams extend and retract both seasonally and in response to individual rainfall events. Stream network extension is typically accompanied by an increase in stream water velocity and water depth, which may overcome mobilization thresholds of particulate matter that may have accumulated in previously dried-out streams. Although this process is commonly conjectured, data documenting the pacing and mechanisms leading to the transfer of particulate matter from terrestrial to aquatic environments remains scarce. An improved mechanistic understanding of these processes in forested headwater streams is particularly needed because they are reportedly highly sensitive to the changes in timing, magnitude and duration of precipitation expected under a changing climate. In Luxembourg, the health of forest ecosystems has also declined severely over the past two decades. Together, these changes might ultimately affect flow persistence, alter the transport and transformation of water, energy, dissolved and suspended materials, and impact organisms throughout the river network. The potentially considerable consequences of these changes on our water resources, aquatic ecosystems and bio-geochemical cycles remain largely unknown. In this study, we investigate the relationship between catchment storage, water flow paths, stream network extension and particulate matter mobilization. During rainfall events, water might flow overland in previously dry streams if a shallow, perched, transient water table builds up and generates runoff, or if a deeper water table rises to the upper transmissive soil horizons. The former mechanism is more likely to occur when antecedent catchment storage is low, whereas the latter is expected when storage is high. Despite it has never been demonstrated with observations, these two processes leading to overland flow might be associated to different sediment mobilization mechanisms. To test these hypothesis, we designed a field study to gather unprecedented datasets on (i) stream network dynamics (i.e., network extension/retraction and intermittency) documented using time-lapse cameras, (ii) suspended sediment fluxes measured at the catchment outlet, and (iii) catchment storage estimated from an extensive, high-resolution hydrometric time series collected in the Weierbach Experimental Catchment (WEC; 0.45 km2; north-western Luxembourg). Our results show that stream extension during rainfall events drives particulate matter mobilization during single peak hydrographs in the WEC, when water rapidly reaches the stream network during precipitation pulses and catchment storage is low. In contrast, double peak hydrographs occur when catchment storage is high, resulting in limited stream network extension and low particulate matter mobilization. Building on these newly gained datasets, we aim to develop a novel conceptual framework linking particulate matter mobilization to its subsequent controlling factors, including rainfall characteristics, catchment storage, regolith structure, land cover and topography.

How to cite: Martínez-Carreras, N., Gourdol, L., and Iffly, J. F.: Mobilization of particulate matter in intermittent and forested headwater streams, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19124, https://doi.org/10.5194/egusphere-egu26-19124, 2026.

EGU26-20152 | ECS | PICO | HS9.7

Comparative soil health dynamics and crop morphological responses in natural and conventional agroecosystems 

Rohit Thakur, Ranjeet Kumar Jha, and Rohit Thakur

Nutrient management and cropping system strategies are so different between natural and conventional agroecosystems that soil health generally follows very different trajectories, thereby affecting crop growth, functioning, and system sustainability. To examine these effects, a field experiment was conducted during the rainy season in the humid subtropical region of the north-western Himalayas, India, to evaluate seasonal soil physicochemical changes under natural farming inputs, conventional chemical fertilizer applications, and okra-cowpea intercropping, and to establish their relationships with crop growth and yield Soil samples were collected from the experimental field before sowing to establish baseline soil conditions. Write all measurements you did and what analyses you performed Two-way ANOVA indicated that soil pH was affected by treatment (p = 0.00011 < 0.05) and season (p = 2.05 × 10⁻²⁹<0.05) with a significant interaction of treatment x season (p = 0.0329 < 0.05). Soil EC was strongly affected by season (p=5.19× 10⁻⁶⁵<0.05), whereas treatment (p=0.502) and interaction effects (p = 0.204>0.05) were not significant. Organic matter content was significantly influenced by treatment (p= 1.37 × 10⁻⁵<0.05) and season (p = 3.34 × 10⁻¹⁵<0.05), while the interaction effect was marginally non-significant (p= 0.060>0.05). Dry density exhibited a strong seasonal effect (p=4.00 × 10⁻²⁶), with no significant treatment influence (p=0.298). Treatments with higher post-harvest organic matter (up to 3.12%) and reduced dry density as low as 1.31g cm⁻³ recorded greater plant growth, higher leaf area index (up to 1.58), and increased stem diameter. One-way ANOVA revealed that stem diameter (p=0.0306) and okra yield (p=1.50×10⁻⁵<0.05) were significantly affected by treatments, whereas plant height (p=0.176>0.05) and total biomass(p=0.396>0.05) were not. The correlation analysis using Pearson's correlation was strongly negative between post-harvest soil pH and Okra yield (r = -0.61), while organic matter was moderate in correlation (r = -0.31). Principal component analysis explained a cumulative percentage of 66.9% in total variance, in which soil pH, organic matter, and dry density were strongly associated in PC1. Soil Quality, derived from PCA, varied between 0.10 and 0.51, which was higher in natural farming practices and intercropping. Land equivalent ratio in intercropping was significantly improved in all cases, ranging between 1.24 and 1.73, which proved that it was significantly better compared to mono cropping in both natural farming practices and conventional inorganic nutrient management. The results demonstrate that natural nutrient management combined with intercropping offers a viable, low-input strategy for farmers to improve soil quality, reduce dependency on external fertilizers, and thereby strengthen farm-level economic and ecological resilience.

 

How to cite: Thakur, R., Jha, R. K., and Thakur, R.: Comparative soil health dynamics and crop morphological responses in natural and conventional agroecosystems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20152, https://doi.org/10.5194/egusphere-egu26-20152, 2026.

Recurring monsoon floods in the Kosi River Basin pose a critical threat to agricultural productivity, sediment deposition, and disruption of cultivable flood plains in Bihar, India. Severe seasonal rainfall combined with steep Himalayan topography generates high runoff and sediment fluxes in the Kosi River system. These hydrological conditions drive frequent channel instability, abrupt shifts in the river course, and widespread flood inundation leading to extensive deposition of sandy soil over fertile agricultural lands. Such recurring flood-driven erosion and sedimentation processes necessitate a quantitative assessment of their impacts on crop productivity, land-use dynamics, and sediment redistribution. Therefore, this study aims to provide a basin-scale quantification of flood-induced soil erosion and crop productivity losses in the Kosi River Basin using integrated remote sensing and hydrological modeling approaches. The Soil and Water Assessment Tool Plus (SWAT+) was employed to simulate basin-scale hydrological processes, sediment transport, and nutrient dynamics. Model parameterization utilized high-resolution topographic data derived from the Shuttle Radar Topography Mission (SRTM) digital elevation model and land use/land cover maps generated from Sentinel-2 satellite imagery. Climatic inputs, including rainfall and temperature, were obtained from the NASA POWER climate data archive, supplemented with observed rainfall records from the Indian Meteorological Department (IMD). Observed streamflow data from the Central Water Commission (CWC), India, were used for model calibration and validation. Spatial data processing and analyses were performed using Python-based workflows within QGIS and ArcGIS environments. We also examine the historical LULC trend from satellite data to understand the spatio-temporal changes in agricultural land and floodplain. We then run future climate scenarios: bias-corrected CMIP6 projections (SSP2-4.5, SSP5-8.5) are used to drive SWAT+ simulations of future flood extent, sediment yield, and land productivity. The final results of this research activity will be presented at the Conference.

Keywords: SWAT+, soil erosion, flood modeling, Kosi River, CMIP6, LULC, sedimentation.

How to cite: Kumar, A. and Jha, R. K.: Assessment of Flood-Induced Soil Erosion and Agricultural Yield Loss in the Kosi Basin Integrating Remote Sensing and Hydrological Modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20242, https://doi.org/10.5194/egusphere-egu26-20242, 2026.

Soil erosion and sediment connectivity play a crucial role in shaping river basin health, especially in monsoon-dominated regions where both natural processes and human interventions strongly influence sediment dynamics. This study investigates soil erosion patterns and sediment connectivity across two contrasting sub-basins of the Godavari River—Sabari, representing a near-natural system, and Manjira, a highly human-modified basin. Using multi-temporal land-use and land-cover data from 1985 to 2022, along with probabilistic indices such as sediment transport potential (STP) and the soil erosion and transport index (SETI), the study evaluates how geomorphic conditions, hydrological processes, and anthropogenic activities jointly control sediment generation and delivery. Six land-use classes were analysed to capture long-term landscape transformations, revealing rapid agricultural expansion and urban growth in Manjira, while Sabari remained largely forest-dominated. The combined STP–SETI analysis highlights distinct sediment hotspots, particularly in north–northwestern Manjira and central–southeastern Sabari, where steep slopes, reduced vegetation cover, and altered connectivity increase erosion risk. Major reservoirs, including Nizamsagar, Donkarayi, Singur, and Balimela, emerge as key regulators by disrupting sediment pathways and creating upstream sediment storage zones. The novelty of this work lies in integrating static erosion indicators with dynamic land-use changes using a probabilistic framework to identify spatially explicit sediment regimes. The findings emphasize the need for basin-specific management strategies, advocating vegetation restoration in Sabari and integrated sediment–reservoir management in Manjira to promote sustainable sediment governance.

How to cite: Singh, A. and Swarnkar, S.: Integrating Soil Erosion and Sediment Connectivity Indices to Identify Sediment Hotspots in the Godavari River Basin, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20519, https://doi.org/10.5194/egusphere-egu26-20519, 2026.

SSS8 – Soil, Environment and Ecosystem Interactions

EGU26-601 | ECS | Posters on site | SSS8.2 | Highlight

Impact of a vegetative barrier on soil moisture and sediment deposition in a Semi-arid olive crop 

Jose Antonio Muñoz, Gema Guzmán, María Auxiliadora Soriano, and José Alfonso Gómez

A hedgerow is a linear strip of woody vegetation that, when strategically positioned, can act as a vegetative barrier. It reduces surface runoff velocity and promotes sediment deposition. Hedgerows and vegetative barriers are also landscape elements that provide several ecosystems services, like biodiversity enhancement. However, in semiarid regions, limited water availability might reduce their positive effects to an extend that still not fully understood.

We hypothesize that vegetative barriers also influence soil moisture profiles and sedimentation dynamics along their width. To test this hypothesis, we monitored soil moisture and sediment deposition over two years in a 30 m length, with a width ranging from 4 to 7 m, vegetative barrier downslope of an olive orchard in southern Spain. The basin of the hedgerow’s stretch is 0.13 ha with an average slope of 17.1%. Soil moisture was recorded using 16 continuous sensors and point measurements with a neutron probe (12 accesses to the neutron probe) for calibration. Soil moisture was measured at three zones along the hedgerow (upper, intermediate, and lower) and at four soil depths (0-15, 15-30, 30-60, and 60-90 cm), with the moisture sensor reading in the intermediate depth of each depth range. Sediment deposition was assessed using 26 erosion pins in the intermediate (12) and lower (12) sections. Rainfall data was registered using an autonomous rain gauge with a 10-minute resolution inside the experimental area. Erosion in the upslope area in the olive orchard was calculated using RUSLE. These data allowed comparison between erosion pin measurements inside the vegetative barrier and erosion estimates in the vegetative barrier catchment.

Our results revealed significant statistical differences in soil moisture and sediment dynamics. Soil moisture was higher in the intermediate and lower sections. Also, evolution of soil moisture in the top (0-15 cm) layer presented the highest temporal variability, while the other layers had a lower temporal variability. soil profiles showed distinct patterns across depths. In the intermediate and lower zone, the other layers had an average higher moisture during the years, which did not differ significantly among themselves. On the other hand, in the upper zone, the 15-30 cm layer had the highest average soil moisture content. Sediment deposition was greater in the intermediate zone, with a net accumulation in an erosion pin of 2.38 cm compared to 0.25 cm in the lower section. This resulted in a sediment trapping efficiency estimation in the vegetative barrier of 4%, lower than reported in previous studies. These findings suggest that hedgerows, far from competing with crops, can serve as valuable allies in soil conservation and water management- when they are properly located and managed.

Aknowledgment: Work was funded by Spanish Ministry of Science and Innovation (PID2019-105793RB-I00), project SCALE and TUdi  (EUHorizon2020 GA 862695 and 101000224), and a predoctoral fellowship (PRE2020-093846). It also received funds by project RELAND (PID2023-146177OB-C21 and PID2023-146177OB-C22) by MICIU/AEI/10.13039/501100011033 and by FEDER, UE.

How to cite: Muñoz, J. A., Guzmán, G., Soriano, M. A., and Gómez, J. A.: Impact of a vegetative barrier on soil moisture and sediment deposition in a Semi-arid olive crop, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-601, https://doi.org/10.5194/egusphere-egu26-601, 2026.

EGU26-9766 | Posters on site | SSS8.2

Relationships between soil chemistry, soil moisture, and vegetation indices in grassland ecosystems 

Ágota Horel, Andor Bódi, János Mészáros, Dragana Djordjevic, Sanja Sakan, and Tibor Zsigmond

The NDVI and PRI vegetation indices (VIs) are widely used to assess grassland condition; however, our understanding of their sensitivity to soil chemical properties and moisture content needs to be expanded. Linking soil chemical properties and water availability to spectral responses increases the reliability of grassland monitoring and management. The present study aimed to analyze two distinct grassland ecosystems, where the spatial heterogeneity of soil chemical parameters and their effects on vegetation indices were investigated.

The study was conducted in 2025 at two research sites, one in the Serbian Rekovac region (RS) and one in the Hungarian Balaton Uplands (HU). Both research sites covered approximately 1 ha. At each site, we collected 32 and 35 soil samples and measured soil chemical parameters (pH, soil organic carbon (SOC), total nitrogen, potassium, and phosphorus) in a laboratory. In the field, we also used non-destructive measurements, including soil elemental compositions using XRF (e.g., Fe, Ca, Cu, As, Pb), soil water content (SWC; Hydrosense II, Campbell Scientific), and vegetation NDVI and PRI values using spectral reflectance sensors (Meter Group) approximately 2 meters above ground. Soil CO2 emissions were measured using an EGM5 IR analyzer (PP Systems). Data for each sampling point were averaged prior to analysis.

When we compared the two grassland sites, we found significantly higher C to N ratio, total N, K, P, SOC, CaCO3 concentration, and CO2 emissions at the HU site, while vegetation NDVI and PRI values were significantly lower (p < 0.05). However, SWC and soil temperature data showed no significant differences (p > 0.05). Given the large number of measured soil chemical parameters, cluster analysis and principal component analysis (PCA) were applied to reduce dimensionality and identify the main factors influencing vegetation indices. Cluster analysis grouped the variables into three distinct clusters, with the Serbian site in one and the Hungarian sites in two. We found that NDVI and PRI values were strongly and negatively correlated with many of the soil chemical parameters (e.g., pH: r = -0.94 and -0.89, SOC: r = -0.86 and -0.83, respectively). Soil CO2 emissions showed only moderate correlations with specific parameters, such as pH, potassium, or C to N ratio (r = 0.50-0.53). SWC, on the other hand, did not show any clear correlations with the main parameters measured.

Our results indicate that variability in vegetation indices was primarily associated with soil chemical gradients rather than soil moisture conditions. Our study showed that local heterogeneity can strongly affect soil chemical data, which in turn affects VIs. Both sites were assessed twice, but further measurements are planned to provide more robust support for our findings.

Acknowledgments: The research was funded by the Sustainable Development and Technologies National Programme of the Hungarian Academy of Sciences (FFT NP FTA) and the 2023-1.2.4-TÉT-2023-0009 project.

How to cite: Horel, Á., Bódi, A., Mészáros, J., Djordjevic, D., Sakan, S., and Zsigmond, T.: Relationships between soil chemistry, soil moisture, and vegetation indices in grassland ecosystems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9766, https://doi.org/10.5194/egusphere-egu26-9766, 2026.

EGU26-9846 | ECS | Posters on site | SSS8.2

Hand-held spectral sensors for in-field grapevine nutrient monitoring 

Tibor Zsigmond, Andor Bódi, and Ágota Horel

Monitoring the nutrient status of grapevines is important for optimizing fertilization strategies, ensuring grape quality, and minimizing environmental impacts in precision viticulture. The traditional laboratory leaf analysis for nutrient monitoring is time-consuming and costly, so rapid, non-destructive, on-site measuring techniques are needed. The aim of present study was to investigate the seasonal variability of grapevine nutrient status using hand-held spectral sensors, specifically focusing on key phenological stages. The study was carried out in a vineyard located in the Balaton Uplands region (Hungary), which serves as a long-term monitoring site for various environmental and viticultural research projects.

Measurements were conducted at four distinct phenological stages (flowering and fruit set, bunch closure, veraison, harvest), with 40 leaf samples collected per occasion. The physical and physiological characteristics of the leaves were recorded, including fresh and dry weight, leaf area, leaf mass area (LMA), chlorophyll content (CCI), and Normalized Difference Vegetation Index (NDVI). In addition, particular emphasis was placed on the Normalized Difference Greenness Index (NDGI), to examine the correlation with the nitrogen content (N) of the leaves. CCI was measured using an MC-100 (Apogee Instruments), while NDVI and NDGI were collected using PlantPen NDVI 310 and N-Pen N 110 handheld instruments (Photon Systems Instruments). Leaf parameters were determined in a laboratory. This multi-temporal approach allowed us to evaluate the sensitivity of these spectral indices in tracking nutrient fluctuations throughout the growing season.

In general, the highest average NDVI (0.771) was measured at the flowering and fruit set stage, while the highest values of the other indicators were usually recorded during the veraison and harvest periods. The highest LMA-adjusted NDGI values were recorded at veraison, suggesting a peak in leaf N concentration. Ongoing laboratory analyses are expected to confirm these results. Significant differences were found in LMA-adjusted NDGI values between veraison and other phenological stages. A strong positive correlation was between NDGI and CCI (r=0.60, p<0.05) for the whole season. This connection became even stronger in the later stages, reaching r=0.68 at bunch closure and r=0.89 at veraison (p<0.05). Principal Component Analysis (PCA) showed no clear separation between the phenological stages based on the investigated parameters.

Acknowledgments: Tibor Zsigmond is grateful for internal funding by HUN-REN ATK (Project number 0405B1481P). The research was funded by the Sustainable Development and Technologies National Programme of the Hungarian Academy of Sciences (FFT NP FTA) and the 2023-1.2.4-TÉT-2023-0009 project.

How to cite: Zsigmond, T., Bódi, A., and Horel, Á.: Hand-held spectral sensors for in-field grapevine nutrient monitoring, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9846, https://doi.org/10.5194/egusphere-egu26-9846, 2026.

EGU26-15553 | ECS | Posters on site | SSS8.2

Defining the impact of pine cultivation on soil water content in Zapatoca, Santander, using Electrical Resistivity Tomography (ERT). 

Katherin Herrera, Rocio Bernal-Olaya, and Juan Colegial-Gutierrez

This study assesses the impact of pine tree plantations on soil water content in Zapatoca, northeastern Colombia, using multitemporal electrical resistivity tomography (ERT) combined with laboratory analyses. The research compares four land covers: a native tree forest and three pine species in plantation: Pinus maximinoi, Pinus oocarpa and Pinus patula, each of which has distinct physical and chemical soil characteristics. Soil profiles were characterized in terms of texture, bulk density and chemical properties. ERT data were collected at three different times and analysed using Archie's law and generalised Archie's law to estimate volumetric water content. These estimates were validated against direct measurements from soil samples. The results indicate that the native forest retains a higher water content at greater depths, which is associated with a high clay content, a lower canopy density and an absence of surface barriers. In contrast, pine plantations showed shallower moisture retention, potentially due to high evapotranspiration rates, dense canopy cover and physical barriers such as thick layers of pine needles. Multitemporal ERT data effectively captured seasonal changes in subsurface moisture and correlated well with direct measurements; however, estimations were less accurate in silty soils. The findings suggest that pine plantations may reduce water infiltration and recharge, influenced by soil texture, forest management, and canopy structure. These insights highlight the usefulness of ERT in evaluating the hydrological impact of changes in land use and support the development of informed afforestation and conservation strategies.

How to cite: Herrera, K., Bernal-Olaya, R., and Colegial-Gutierrez, J.: Defining the impact of pine cultivation on soil water content in Zapatoca, Santander, using Electrical Resistivity Tomography (ERT)., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15553, https://doi.org/10.5194/egusphere-egu26-15553, 2026.

EGU26-16929 | Posters on site | SSS8.2

Characterization and comparison of soil and vegetation carbon stocks in natural grassland and afforestation 

Tibor József Novák, Anikó Krusóczki, Áron Béni, Evelin Juhász, Andrea B. Kovács, Tamás Ábri, Zsolt Keserű, Györgyi Kovács, Géza Tuba, and József Zsembeli

In this study, we examined and compared the characteristics and processes directly influencing soil carbon content and carbon turnover in a slightly sodified, haevy textured soil in a near-natural sodic grassland and a 100-year-old oak afforestation established in its immediate vicinity, originally with identical soil conditions. We compared the amount of carbon stored at the two sites in the above ground living phytomass, in the organic matter accumulated in the litter layer (dead wood, litter), and in the living root biomass in the upper 10 cm layer of the soil. In the soil samples, we analyzed the soil organic carbon content, the microbial biomass, the dehydrogenase and sacharase activities by sampling in 10 cm thick layers between 0-40 cm, replicated per season. We measured the CO2 emission of the soil surface replicated per season.

In the 100th year after afforestation, soil pH and base saturation were lower in the forest area. Carbon stock was higher in the near-natural grassland area (0-40 cm: 1144±35 g∙m2) than in the planted forest (973±34 g∙m2). At the same time, the C content of the living phytomass increased to 14,712 g∙m2 in the forest area, compared to 298±65 g∙m2 measured in the grassland. The amount of C stored in the litter in the afforested area was 4 482±1 018 g∙m2, and in the grassland 162±61 g∙m2. The C content stored in the root system was higher in the grassland, 1676±988 g∙m2, compared to 94±57 g∙m2 in the forest. Microbial biomass and enzyme activity were higher in the grassland in all seasons and in all layers, and CO2 emissions were also higher in the grassland (0.235 g∙m2∙h-1) compared to the forest (0.337 g∙m2∙h-1).

According to our studies, the rearrangement of surface and subsurface carbon storage processes changes significantly over 100 years and affects the chemical and biological processes of the soil as well.

How to cite: Novák, T. J., Krusóczki, A., Béni, Á., Juhász, E., B. Kovács, A., Ábri, T., Keserű, Z., Kovács, G., Tuba, G., and Zsembeli, J.: Characterization and comparison of soil and vegetation carbon stocks in natural grassland and afforestation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16929, https://doi.org/10.5194/egusphere-egu26-16929, 2026.

EGU26-19421 | ECS | Posters on site | SSS8.2

Long-term soil hydraulic recovery following topsoil removal in restored nature 

Emad Farzanegan, Jasper H.J. Candel, and Veerle Vanacker

Nature restoration projects often aim to improve biodiversity, while many soil-related ecosystem services like water retention, are often not accounted for and may negatively be affected by restoration measures. In the Netherlands, topsoil removal, or sod cutting, is commonly implemented in areas where agricultural fields are being transformed into heathlands to remove the nutrient-enriched topsoil. Heathland restoration is a key objective within the European Natura 2000 network. While this intervention effectively lowers soil fertility and promotes the establishment of the target heathland vegetation thereby fostering biodiversity, its long-term effects on soil hydraulic properties are not well understood. Given that soil water retention is a key soil property influencing catchment resilience to droughts and floods, assessing soil hydraulic change following restoration is necessary for evaluating restoration outcomes. 
This research investigates the change of soil water retention in restored heathlands within the Drents-Friese Wold national park, the Netherlands, located within the European Sand Belt. At each site, 30 to 50 cm of organic-rich topsoil was excavated, exposing underlying horizons with minimal pedogenic development. A chronosequence approach was applied at sites where topsoil removal occurred in approximately 1995, 2005, and 2020, representing up to three decades of soil development. Undisturbed soil samples were collected from each chronosequence stage; from an abandoned intact agricultural site, and from long-established heathland exceeding 200 years that represents the restoration target. Additionally, samples were collected from the subsoil at 40 cm depth beneath intact agricultural soil to separate the effects of topsoil removal from the original soil conditions at that depth. Soil water retention curves were determined for all samples using combined suction table and pressure plates, complemented by measurements of bulk density, organic matter content, and particle size distribution. 
Although topsoil removed sites achieve nutrient-poor conditions favorable to heathland species, visual soil observations suggest that the aggregated structure and biological pore networks present in the original agricultural topsoil did not recover  even after three decades. By quantifying recovery timescales and comparing hydraulic properties across restoration states, this research illustrates that rapid measures for nature restoration comprise long-term soil functioning, with implications for restoration practice across similar ecosystems.  

How to cite: Farzanegan, E., Candel, J. H. J., and Vanacker, V.: Long-term soil hydraulic recovery following topsoil removal in restored nature, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19421, https://doi.org/10.5194/egusphere-egu26-19421, 2026.

EGU26-1080 | ECS | Orals | SSS8.4

Biomass and carbon allocation in above and belowground parts of two olive cultivars at high-density 

Milagros Torrús Castillo, Gema Guzmán, Belén Cárceles, María Auxiliadora Soriano, Raúl de la Rosa, and José A. Gómez

Accurate measurements of biomass production and carbon storage in olive groves are needed to improve crop management and evaluate their role in mitigating climate change impacts. Two approaches, destructive and non-destructive, were set up to estimate aboveground and belowground biomass, as well as carbon content, in a total of six 7.5-year-old trees of two olive cultivars, Arbosana and Picual, grown under Mediterranean field conditions. This was complemented by determining soil organic carbon storage at the root system depth (1.30 m). The findings indicated that Picual produced higher total biomass (36.5 kg tree-1) compared to Arbosana (27.5 kg tree-1), largely because Picual accumulated more biomass in structural elements, such as the trunk and secondary branches. In contrast, Arbosana allocated more biomass to the foliage. In both cultivars, roughly 60 % of root biomass was located within the first 25 cm of soil, and more than 55 % was concentrated in the root ball. In both cultivars, the average carbon concentration in biomass was 47 % in aboveground plant parts and 42 % in the root system. At the orchard level, the soil acted as the primary organic carbon reservoir, containing about 76 t C ha⁻¹, while the total tree biomass stored around 13-16 t C ha⁻¹, with 4.1-5 t C ha⁻¹ stored in the root biomass. The mean annual carbon accumulation in olive biomass ranged from 1.68 t C ha⁻¹ yr⁻¹ for Arbosana to 2.16 t C ha⁻¹ yr⁻¹ for Picual, values consistent with carbon sequestration rates reported for other Mediterranean agricultural systems. While the destructive methodology provided more accurate differentiation between cultivars in terms of biomass and carbon content, the non-destructive method proved more practical and suitable for larger-scale implementation, albeit with a moderate reduction in accuracy. Overall, these results support the integration of biomass and carbon data into olive cultivar selection and management practices, with the aim of enhancing carbon sequestration and promoting the long-term sustainability of olive production systems.

Acknowledgement: This work has been supported by the projects MARVIC “Monitoring, reporting and verification of soil carbon and greenhouse gases balance” (101112942), ECOMED "Improving soil cover assessment strategies in Mediterranean agricultural areas” (PR. AVA23.INV202301.035), Operational Group “Olive Carbon Balance” (OCB) from EIP-Agri (REGAGE23e00065250685), Qualifica Project QUAL21_023 IAS, PID2023-146177OB-C21 and PID2023-146177OB-C22 projects funded by MICIU/AEI /10.13039/501100011033 and FEDER, UE, and “ERDF A way of making Europe” by “ERDF/EU”

How to cite: Torrús Castillo, M., Guzmán, G., Cárceles, B., Soriano, M. A., de la Rosa, R., and Gómez, J. A.: Biomass and carbon allocation in above and belowground parts of two olive cultivars at high-density, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1080, https://doi.org/10.5194/egusphere-egu26-1080, 2026.

EGU26-1825 | ECS | Posters on site | SSS8.4

ASSESSING VINEYARDS SOIL CARBON STORAGE: δ13C AND Δ14C AS INDICATORS UNDER COVER CROPS AND TILLAGE  

Mukkaram Ejaz, Natalia Piotrowska, Alicja Ustrzycka, Slawomira Pawelczyk, Juan Emilio Herranz-Luque, Marco Antonio Jiménez-González, Carlos García-Delgado, Pilar Carral, Maria José Marqués Pérez, and Christine Hatté

Building up Soil organic carbon (SOC) is essential, for ensuring agricultural viability and mitigating global climate change. Increasing SOC stocks is recognized as a key strategy for mitigating climate change and contributing to soil health and overall ecosystem resilience. Perennial cropping systems, such as vineyards, have received increasing attention for their potential to sequester SOC. Compared to annual crops, vines may contribute to SOC accumulation through their permanent root systems, extensive biomass production, and long-term organic matter inputs to the soil. Vineyard soils, however, are subject to diverse management practices that can either promote or deplete SOC stocks. At either end of the spectrum, we have, for example, permanent plant cover between the rows and ploughing to eliminate all grass, considered a competitor for access to water. However, the effect of these practices on SOC turnover and stabilization remains poorly understood.

Here we show how spontaneous vegetation cover and tillage fundamentally alter soil carbon storage, using δ13C and Δ14C isotopic tracers.  Soil samples were collected from a dozen of paired vineyard sites in Spain, differing solely in their soil management practices (very close from each other)  with soil covered with spontaneous vegetation or repeated tillage. The samples were collected to a depth of 90 cm, with 5 cm interval down to 20 cm, and then 10 cm intervals thereafter. The content of C and N content, as well as δ13C, reveal clear contrasts in carbon sources and depth dependent incorporation,   while Δ14C demonstrates distinct differences in carbon turnover rates and stabilization pathways between management systems.

Our results show that vineyards maintening spontenous vegetation accumulate younger, plant-derived carbon in surface horizons while also enhancing of older carbon at depth, whereas tilled soils exhibit depleted SOC stocks and accelerated carbon turnover throughout the profile. . These findings highlight the pivotal role of allowing natural vegetation to persist, combined with reduced soil disturbance, in fostering persistent SOC pools, thereby strengthening soil resilience under climate change.

Keywords: Soil carbon storage, vineyard soil management, δ13C, Δ14C, plant cover, tillage

Acknowledgments This work is supported by SANCHOSTHIRST project (EJP-SOIL grant agreement N°862695/II/4/SANCHOSTHIRST/2024).

How to cite: Ejaz, M., Piotrowska, N., Ustrzycka, A., Pawelczyk, S., Herranz-Luque, J. E., Jiménez-González, M. A., García-Delgado, C., Carral, P., Marqués Pérez, M. J., and Hatté, C.: ASSESSING VINEYARDS SOIL CARBON STORAGE: δ13C AND Δ14C AS INDICATORS UNDER COVER CROPS AND TILLAGE , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1825, https://doi.org/10.5194/egusphere-egu26-1825, 2026.

EGU26-5672 | Orals | SSS8.4

Impact of various horticultural farming practices on the spatial variability of Soil Organic Carbon in a small Mediterranean watershed using spectrometric measurements and Sentinel data. 

Dominique Courault, Simon Charrière, Annette Bérard, Céline Pelosi, Fabrice Flamain, Guillaume Pouget, Arnaud Chapelet, Xueyu Zhao, and Claude Doussan

Perennial crops such as orchards and vineyards are typical mediterranean crops which present a high variability in water and inter-row management, both having strong impacts on soil organic carbon (SOC) fate. The different irrigation options are drippers, micro-sprinklers or flood irrigation. The inter-rows can be grassed to facilitate the pruning, harvest or various operations in the crops, or soil can be ploughed to avoid water competition with trees. Assessing SOC variability at territorial scales is a real challenge to promote practices that will increase SOC storage and therefore alleviate climate change and improve the soil health. This study aims to assess (i) the intra-field variability of SOC in orchards and vineyards with various inter-row and irrigation practices from lab spectral measurements, and (ii) the spatial variability of SOC at the watershed scale according to different agricultural practices using Sentinel data. Soil samples were collected over a two-year period in 2024 and 2025 on 17 plots covering a large variability of irrigation and inter-row management in a small watershed in southeastern France (Ouvèze-Ventoux WS). Physical chemical analyses were made on air-dried, 2mmn sieved soil samples. Spectral measurements were made using a lab spectrometer (SM-3500) in the range of visible near-infrared to mid-infrared (350-2500 nm). Sentinel 1 and 2 images acquired over the Ouveze-Ventoux WS were selected in winter period for the two studied years, when NDVI presented the lowest values. Three methods were compared to estimate SOC variability: PSLR, DNN and cubist. The results from lab spectrometer measurements showed a high accuracy to obtain SOC (R2=0.89, correlation between observed and simulated SOC) allowing to quantify the impact of row management on the SOC variability. This accuracy decreased if only Sentinel data are used (as expected) but the correlations between observations and simulations remained significant. The cubist model appeared the most effective to map SOC at the watershed scale Such approaches based on spectral measurements performed at different scales represent inexpensive and useful tools to assess the spatial variability of the soil properties which can be applied in various environmental contexts.

How to cite: Courault, D., Charrière, S., Bérard, A., Pelosi, C., Flamain, F., Pouget, G., Chapelet, A., Zhao, X., and Doussan, C.: Impact of various horticultural farming practices on the spatial variability of Soil Organic Carbon in a small Mediterranean watershed using spectrometric measurements and Sentinel data., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5672, https://doi.org/10.5194/egusphere-egu26-5672, 2026.

EGU26-5742 | Orals | SSS8.4

Row and inter-row management drives spatial variability in SOC and soil fauna in Mediterranean orchards and vineyards 

Simon Charrière, Annette Bérard, Céline Pelosi, Claude Doussan, Fabrice Flamain, Arnaud Chapelet, and Dominique Courault

Soil Organic Carbon (SOC) is critical for soil health and climate change mitigation. In Mediterranean orchards and vineyards, management practices vary both within fields (e.g., grass cover vs. bare soil in inter-rows) and between fields (e.g. drip vs. microsprinkler irrigation) creating complex spatial patterns. Yet, most modelling approaches assume plot homogeneity when simulating carbon and water budgets at field scale. Furthermore, existing studies often sample inter-rows alone, assuming they represent whole-field dynamics. This homogeneity assumption may introduce biases in SOC stock estimates for perennial systems, at the field level, by ignoring row vs. inter-row management differences.

This study aims to (1) quantify intra-field variability in SOC content and soil biology abundance and activity between tree rows and inter-rows, and (2) assess how this spatial heterogeneity affects model predictions at field scale.

Field data were collected in 2024 and 2025 from 19 plots in a small Mediterranean watershed in southeastern France, including vineyards and orchards with various agricultural practices and soil characteristics. Soil samples (0–30 cm depth) were analyzed for chemical (SOC, nutrients, pH), physical properties (texture) and microbial biomass, to compare row and inter-row dynamics. In 2025, earthworm and enchytraeid communities were sampled. Additionally, farmer interviews were conducted to document on history of the fields (fertilizer inputs, irrigation, soils). A multivariate analysis (PCA) identified key drivers of row/inter-row differences, with preliminary results indicating significant variability in SOC and soil biology (earthworms, enchytraeids, microbial biomasses) linked to grass cover management (p < 0.01). Linear modelling was developed to upscale inter-row measurements to whole-field estimates. These findings inform management strategies that enhance SOC sequestration while optimizing productivity and biodiversity in Mediterranean perennial systems.

How to cite: Charrière, S., Bérard, A., Pelosi, C., Doussan, C., Flamain, F., Chapelet, A., and Courault, D.: Row and inter-row management drives spatial variability in SOC and soil fauna in Mediterranean orchards and vineyards, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5742, https://doi.org/10.5194/egusphere-egu26-5742, 2026.

EGU26-7224 | Posters on site | SSS8.4

A standardized GIS‑based assessment of water erosion risk in UNESCO vineyard landscapes: insights from the Monferrato soil system (Piemonte, NW Italy) 

Jose Alfonso Gomez, Gema Guzmán Díaz, Santiago Pedraza Moya, and Marcella Biddoccu

Vineyards in Mediterranean and sub‑Alpine landscapes are sensitive systems, where water erosion directly threatens many essential soil functions. This is particularly critical in UNESCO‑listed vineyard regions, where long‑term soil sustainability underpins both agricultural productivity and cultural heritage preservation. We present VineRUGIS, a standardized, open‑source procedure designed to assess water erosion risk in vineyards through climatic, soil, topographic and remote‑sensing data. It aims to a reliable erosion risk appraisal in vineyard areas using only freely available information (e.g., Panagos et al., 2015; Regione Piemonte, 2025) or tools (e.g. Biddoccu et al., 2020), including an appraisal of uncertainty. This might help to reduce uncertainty on the actual role of vine cultivation on soil degradation (e.g. Pappalardo et al., 2019).
VineRUGIS is based on an enhanced implementation of the Revised Universal Soil Loss Equation (RUSLE) within a QGIS environment using the ORUSCAL tool (Biddoccu et al., 2020), developed to run RUSLE in woody crops. It is an evolution of an approach successfully implemented in olive growing areas in Southern Spain (Gómez et al., 2023) and pays particular attention to the spatially explicit parameterization of key parameters like topography, soil erodibility, vegetation cover and conservation practices. VineRUGIS maps these factors at vineyard‑plot scale by integrating Sentinel‑2 NDVI time series, high‑resolution digital elevation models and regional soil databases, allowing a realistic representation of soil–management interactions.
The methodology was applied to the Monferrato vineyard region (Piemonte, Italy), an UNESCO World Heritage landscape characterized by complex relief and long‑term viticultural use. A first regional appraisal assuming temporary cover‑crop management indicates that most vineyard experience low to moderate average erosion rates, despite relatively high slope gradients. This highlights the dominant buffering role of vegetation cover and the need to check presence, or not, of traditional soil conservation practices, such as terracing, in maintaining erosion rates close to soil formation thresholds. This communication will present the results of our analysis and discuss the usefulness of VineRUGIS as a soil‑oriented, reproducible and transferable procedure to support erosion risk assessment, soil function protection and adaptive management in vulnerable vineyard soil systems under increasing climatic variability.
References

1- Biddoccu et al., 2020. Evaluation of soil erosion risk and identification of soil cover and management factor (C) for RUSLE in European vineyards with different soil management. https://doi.org/10.1016/j.iswcr.2020.07.003   
2- Gómez et al., 2023. Evaluation of erosion risk with stakeholders using RUSLE methodology and publicly available information in a large olive producing area in Southern Spain. Abstracts of Soil Erosion Research under a Changing Climate Symposium by ASABE. Aguadilla, Pto. Rico.
3- Panagos et al., 2015. Rainfall erosivity in Europe. https://doi.org/10.1016/j.scitotenv.2015.01.00 
4- Pappalardo et al., 2019. Estimation of potential soil erosion in the Prosecco DOCG area  (NE Italy), toward a soil footprint of bottled  sparkling wine production in different land management scenarios. https://doi.org/10.1371/journal.pone.0210922   
5- Regione Piemonte. 2025. Geopiemonte. https://geoportale.igr.piemonte.it/cms/

Acknowledgements: Support from PID2023-146177OB-C21 and C22 funded by MICIU/AEI/10.13039/501100011033 and “ERDF A way of making Europe”, by “ERDF/EU”; Fondazione CRT - project “MeRAViP” (2022.1732); CNR Short Term Mobility Program – 2025 (STM 2025).

How to cite: Gomez, J. A., Guzmán Díaz, G., Pedraza Moya, S., and Biddoccu, M.: A standardized GIS‑based assessment of water erosion risk in UNESCO vineyard landscapes: insights from the Monferrato soil system (Piemonte, NW Italy), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7224, https://doi.org/10.5194/egusphere-egu26-7224, 2026.

EGU26-7518 | Posters on site | SSS8.4

Patterns of water-extractable organic matter across management and depth in Mediterranean perennial cropping systems 

María José Marqués Pérez, Marco Antonio Jiménez-González, Juan Pedro Martín-Sanz, Javier González-Canales, Pilar Carral, Gonzalo Almendros, and Blanca Esther Sastre

Agricultural soils in Mediterranean semi-arid regions are increasingly affected by climatic variability, challenging the sustainability of perennial systems such as vineyards and olive groves. Conventional tillage promotes organic matter oxidation and limits carbon persistence, whereas the capacity of cover cropping to enhance carbon sequestration beyond surface accumulation remains uncertain, largely due to strong site-specific responses and intrinsic soil constraint

This study investigates the mechanisms controlling soil carbon stabilization at six paired vineyard and olive grove sites in central Spain under semi-arid conditions, comparing conventional tillage and cover-cropped systems. Soil samples were collected at 0–10 and 10–30 cm depths and analyzed for total soil organic carbon (SOC), water-extractable organic matter (WEOM), WEOM optical properties (E4/E6), texture, calcium carbonate (CaCO₃), porosity, and β-glucosidase activity. Depth gradients (30–10 cm) were calculated to explicitly focus on vertical processes, and carbon stabilization was assessed using the SOC/clay ratio as an indicator of mineral-associated organic carbon.

Across sites, all variables exhibited substantial variability. SOC contents were typical of Mediterranean agricultural soils, ranging from approximately 0.77–0.84% in the topsoil and from 0.51–0.64% at 10–30 cm depth, while SOC/clay ratios declined from 0.09–0.10 in the surface layer to 0.04–0.06 at depth. These values indicate a moderate but constrained potential for mineral-associated carbon stabilization, with management-related differences being modest and largely confined to surface horizons. WEOM concentrations ranged from approximately 15 to 21 mg L⁻¹, with slightly higher values under cover cropping at 0–10 cm, whereas differences at 10–30 cm were less pronounced. Textural composition was dominated by relatively high sand contents but showed strong site-to-site heterogeneity, reflecting contrasting edaphic contexts. WEOM E4/E6 ratios averaged 3.3–3.5 under cover cropping and 4.1–4.8 under tillage, although large variability resulted in substantial overlap between managements.

Linear models revealed that the vertical WEOM gradient (30–10 cm) was the most consistent predictor of increases in SOC/clay at depth, highlighting the importance of dissolved carbon transfer for subsurface carbon stabilization. Mean CaCO₃ content exerted a positive effect, indicating a strong mineralogical control on carbon retention. In contrast, β-glucosidase activity and WEOM-E4/E6 did not emerge as significant predictors.

Acknowledgements:

This work was supported by the European Joint Programme for SOIL (EJP SOIL), funded by the EU Horizon 2020 Programme (Grant Agreement No. 862695), within the SANCHOTHIRST project. J. González Canales was supported by grant PRE2021-097966 (MCIU/AEI/10.13039/501100011033) and the European Social Fund (ESF). We thank the farmers for field access and management information.

How to cite: Marqués Pérez, M. J., Jiménez-González, M. A., Martín-Sanz, J. P., González-Canales, J., Carral, P., Almendros, G., and Sastre, B. E.: Patterns of water-extractable organic matter across management and depth in Mediterranean perennial cropping systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7518, https://doi.org/10.5194/egusphere-egu26-7518, 2026.

EGU26-9432 | ECS | Orals | SSS8.4 | Highlight

Integrating Ecosystem Services into Organizational Life Cycle Assessment: Evaluating the Impact of Agroecological Practices on Grapevine Soil Health 

Niccolò Renzi, Benedetto Rugani, Montserrat Nuñez, Daniele Penna, Elena Bresci, and Giulio Castelli

A transition to sustainable agriculture requires robust metrics that can capture environmental burdens and the beneficial ecosystem services (ES) provided by land management. Although traditional life cycle assessment (LCA) is effective at quantifying detrimental impacts, it often fails to consider the regenerative potential of agroecological practices. This study proposes an innovative framework that incorporates ES accounting into organizational LCA (O-LCA) to evaluate absolute environmental sustainability (AES) in the Tuscan wine industry. This research uses Techno-Ecological Synergy (TES-LCA) principles which quantify the balance between the ecological supply of and technological demand for critical ES, including carbon sequestration and nutrient loss regulation, by the means of sustainbility metrics (V), which range from -1 to 1. A positive value means the system can provide mitigation for additional demand, while a negative value means there is no supply of ES.

The methodology uses empirical evidence from soil analyses conducted fourteen years apart, coupled with simplified ecological models. This approach addresses the data-intensive nature of traditional ecological modeling by using readily available farm data. Results from two representative grapevines case studies reveal divergent environmental performances. In the first farm, V ranging from -1.0 to -0.9 indicate a "worst-case" scenario where technological demand significantly outweighs ecological supply. Conversely, the second farm demonstrates the potential of agroecological management, qualifying as an "island of sustainability" for carbon sequestration (V = 1.0) and nitrogen loss regulation (V = 0.5). Notably, both farms exhibited a low phosphorus loss mitigation (V = -0.9), highlighting a systemic challenge in nutrient management. By bridging the gap between technological systems and natural processes, this research offers a robust tool for aligning agricultural production with planetary boundaries and ecological limits.

RN and GC thank the Agritech National Research Center and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) – MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 – D.D. 1032 17/06/2022, CN00000022).While BR acknowledge the support of NBFC (National Biodiversity Future Centre) funded by the Italian Ministry of University and Research, P.N.R.R., Missione 4 Componente 2, “Dalla ricerca all’impresa”, Investimento 1.4, Project CN00000033.  . This manuscript reflects only the authors’ views and opinions, neither the European Union nor the European Commission can be considered responsible for.

How to cite: Renzi, N., Rugani, B., Nuñez, M., Penna, D., Bresci, E., and Castelli, G.: Integrating Ecosystem Services into Organizational Life Cycle Assessment: Evaluating the Impact of Agroecological Practices on Grapevine Soil Health, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9432, https://doi.org/10.5194/egusphere-egu26-9432, 2026.

EGU26-10556 | ECS | Posters on site | SSS8.4

Sentinel-2 indices for enhanced prediction of soil rock fragments cover in a Spanish vineyard 

Hayfa Zayani, Emmanuelle Vaudour, Maria José Marques Perez, Nicolas Baghdadi, Pascal Pichelin, Juan Emilio Herranz-Luque, Carlos García-Delgado, Pilar Carral, Mukhtar Adamu Abubakar, Didier Michot, and Youssef Fouad

Soil rock fragments (SRF) strongly influence soil properties, nutrient contents and erosion. Their surface cover (SRF cover) affects soil reflectance which can impacts the accuracy of remotely sensed predictions of soil properties, yet it is rarely quantified. In this study, we assess the ability of Sentinel-2 (S2) indices to capture variability in SRF cover and their potential to enhance SRF cover predictions with S2 spectral models. SRF cover (%) was measured across three field campaigns et 60 points in an 82 ha Spanish vineyard trained on a trellis system. The point-count method applied to nadir photographs taken ~1 m above the soil was used. Six S2 indices time series were analysed using a hierarchical agglomerative clustering (HAC) then a principal component analysis (PCA) to identify the index best capturing SRF cover variability. Its relevance was assessed by comparing its values with the average SRF cover measured across the three campaigns. Partial least squares regression (PLSR) and random forest (RF) models were then developed using individuals and combined S2 dates, both with and without and NDVI threshold of 0.4, considering either S2 spectral bands or in combination with best S2 indices. The Non-Photosynthetic Vegetation Soil Separation Index (NSSI) best captured SRF cover variability, showing a negative correlation with SRF cover (R² = 0.41–0.60) and the strongest correlation for NDVI < 0.4 (R² = 0.48–0.91). Most models achieved moderate to good performance, with PLSR outperforming RF. Combining S2 dates improved model stability and performance for both PLSR (RPD = 1.93, RPIQ = 2.65) and RF (RPD = 1.59, RPIQ = 2.19). These results highlight the potential of Sentinel-2 data to predict SRF cover, and future work could explore integrating remote sensing with geophysical methods to further enhance predictions.

How to cite: Zayani, H., Vaudour, E., Marques Perez, M. J., Baghdadi, N., Pichelin, P., Herranz-Luque, J. E., García-Delgado, C., Carral, P., Abubakar, M. A., Michot, D., and Fouad, Y.: Sentinel-2 indices for enhanced prediction of soil rock fragments cover in a Spanish vineyard, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10556, https://doi.org/10.5194/egusphere-egu26-10556, 2026.

EGU26-14437 | Orals | SSS8.4

Groundcover management effects on soil properties and vine performance in English vineyards 

Marcos Paradelo Perez, Lucie Buchi, and Flora O'Brien

Viticulture in England has expanded rapidly over the last two decades, driven by climate change and the adoption of commercially viable grape varieties suited to sparkling wine production.

This study examined, over two years, the establishment and performance of cover crops and under-vine weed management strategies in two commercial vineyards and one experimental vineyard in the South East of England, representing contrasting soil types. A range of cover crops were established between March  2022 and October 2024, including phacelia, common vetch, faba bean, a perennial mix of berseem, crimson and white clovers with creeping red fescue, and an annual mix of rye and common vetch. In parallel, under-vine weed management practices were evaluated, including herbicide application, mechanical control, and strimming.

Soil assessments included nutrient content, microbial biomass, soil organic matter, bulk density, hydraulic conductivity, soil moisture, soil respiration, and soil microbial community composition (16S rRNA and ITS sequencing). Vine performance was evaluated through measurements of leaf nutrient content, chlorophyll index, canopy area index, grape yield, and juice quality.

Soil organic matter did not differ between cover crop treatments and the control (grass cover). Microbial biomass increased under faba bean at the clayey site in 2023; however, no significant differences among treatments or sites were observed in 2024. As expected, available nitrogen levels were consistently higher in the faba bean treatment across all three sites in both years, although these differences were only statistically significant in 2023.

Regarding soil physical properties, bulk density tended to be higher under faba bean compared with the control, whereas no significant differences were observed in hydraulic conductivity. Soil moisture content was generally lower in the cover crop treatments than in the grass-covered control.

In 2023, grapes from vines adjacent to faba bean cover crops at the clayey site showed significantly higher yeast-assimilable nitrogen (YAN), malic acid, and ammonium-N compared with the grass control. However, these differences were not observed in the following season.

Weeding management influenced soil physical properties and vine performance, with higher soil bulk density and greater vine vigour under herbicide control.

Overall, groundcover management has the potential to influence soil health and vine responses, but the effects observed in this study were not conclusive over the short term. Soil type, seasonal conditions, and the longevity of both treatments and vines are likely key factors regulating the impacts of groundcover management in vineyards.

How to cite: Paradelo Perez, M., Buchi, L., and O'Brien, F.: Groundcover management effects on soil properties and vine performance in English vineyards, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14437, https://doi.org/10.5194/egusphere-egu26-14437, 2026.

EGU26-15119 | Posters on site | SSS8.4

Geochemical characterization of Ribera de Duero wines: Integrating 87Sr/86Sr and elemental profiling for origin assessment 

Fernando Jimenez - Barredo, Daniel Naharro, Altug Hasozbek, Angela de la Hoz, Elixabet Díaz de Cerio, and Marisol Vega

In this study, we investigate the combined use of Sr-isotope ratios (⁸⁷Sr/⁸⁶Sr) and multielemental composition to assess the geographical traceability of wines from the Ribera del Duero Protected Denomination of Origin (PDO), located along the Duero River basin on the northern Iberian Plateau. In 2025, this PDO produced around 1 million hL of high quality internationally recognized wines. The region exhibits a marked geological gradient over ~120 km, transitioning from eastern domains dominated by clay, sand, and lacustrine limestones to western sectors characterized by extensive limestone formations. Several wine samples from different wineries and representative grape varieties from Ribera del Duero were analyzed. Major and selected trace elements were determined by ICP-OES and ICP-MS, while ⁸⁷Sr/⁸⁶Sr ratios were measured using MC-ICP-MS. Multivariate statistical analyses, including Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), were applied to evaluate the discriminating power of the combined geochemical dataset.

The results show that ⁸⁷Sr/⁸⁶Sr ratios range between 0.7090 and 0.7097, reflecting the regional geological background but providing limited resolution when considered alone. In contrast, the integration of Sr-isotope data with elemental composition significantly improves the differentiation of wine samples according to their geographical origin. Multivariate models reveal coherent groupings that correspond to geological variability within the PDO area.

 

Keywords: Strontium isotope ratios, elemental composition, wine, geochemical tracer, ICP-MS

 

 

How to cite: Jimenez - Barredo, F., Naharro, D., Hasozbek, A., de la Hoz, A., Díaz de Cerio, E., and Vega, M.: Geochemical characterization of Ribera de Duero wines: Integrating 87Sr/86Sr and elemental profiling for origin assessment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15119, https://doi.org/10.5194/egusphere-egu26-15119, 2026.

EGU26-17277 | ECS | Posters on site | SSS8.4

Site‑Dependent Effects of Cover Crops on Soil Properties and Enzyme Activities in Semiarid Olive Systems (SANCHOSTHIRST PROJECT) 

Juan Pedro Martin Sanz, Javier González-Canales, Blanca Sastre, and María José Marqués Pérez

The EJP Soil SANCHOSTHIRST project (Cover cropS and soil health and climAte CHaNge adaptatiOn in semiarid woody crops: Remote Sensing and scenario projections) investigates the potential benefits of alternative soil management practices compared to traditional tillage in woody crops. Previous studies within the project have evaluated the effects of cover crops on soil enzymatic activities. Building on this work, the present study examines how different soil management strategies influence key soil enzyme activities across five olive‑growing locations in Spain included in the SANCHOSTHIRST network.

At each location, two adjacent plots were sampled: one managed with cover crops and the other under conventional tillage. In both plots, three composite soil samples were collected at two depths (0–10 cm and 10–30 cm). Samples intended for biological analyses were kept refrigerated from sampling until enzymatic determinations were performed. The enzymes analysed represent major biogeochemical cycles: β‑glucosidase (C cycle), urease (N cycle), phosphatase (P cycle), and arylsulfatase (S cycle). The physico‑chemical variables measured included pH, electrical conductivity, carbonate content, available ammonium, available nitrate, available phosphorus, soil organic carbon, particle‑size distribution (sand, silt, clay), and bulk density. Variables related to vegetation present in each plot were also considered. One‑way ANOVA and multiple linear regression analyses were performed to assess the influence of soil management on the measured variables and to identify the physico‑chemical factors most strongly associated with enzyme activities.

Results showed that soil responses to agricultural management were not uniform across sites. In some cases, the use of cover crops enhanced beneficial soil properties such as nutrient availability, whereas in others it produced negative effects, including increased bulk density. Multiple linear regression analyses indicated that enzyme activities were strongly correlated with nutrient availability, particularly soil organic carbon, available ammonium, and available phosphorus. Texture‑related parameters exerted either positive or negative effects depending on the specific enzyme. Aboveground biomass was identified as an important factor influencing arylsulfatase activity in tilled soils, while root biomass played a key role in dehydrogenase activity in soils managed with cover crops.

These findings suggest that, at least in the conditions studied, the impact of vegetation cover on soil improvement cannot be considered generalizable but is instead site‑dependent.

ACKNOWLEDGEMENTS

This work was supported by the European Joint Programme for SOIL (EJP SOIL), funded by the EU Horizon 2020 Programme (Grant Agreement No. 862695), within the SANCHOTHIRST project. Javier González-Canales contract is financially supported under grant PRE2021-097966, funded by MCIN/AEI/ 10.13039/501100011033 and by ESF Investing in your future.

How to cite: Martin Sanz, J. P., González-Canales, J., Sastre, B., and Marqués Pérez, M. J.: Site‑Dependent Effects of Cover Crops on Soil Properties and Enzyme Activities in Semiarid Olive Systems (SANCHOSTHIRST PROJECT), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17277, https://doi.org/10.5194/egusphere-egu26-17277, 2026.

The Altes Land region in Northern Germany is the largest fruit-producing region in Germany. Here, on diked and drained freshwater tidal marsh soils of the Elbe River valley, century-old farming traditions combined with modern production methods developed into numerous different land management strategies. Soil health indicator values (e.g., bulk density, soil organic carbon quantity) display spatial and temporal variability on both field and farm scales. Assessing changes of soil health indicators remains labour-intensive, and long-term datasets usually do not sufficiently reflect small-scale heterogeneity. Attempts of monetizing soil health improvements (e.g. by carbon credits, fiscal rewards for biodiversity) require a thorough and site-specific understanding of soil health indicator development over time.

Separating short-term management-induced changes and long-term trends of perennially caused changes of soil health (e.g. carbon accumulation, soil-structure formation) involve costly long-term monitoring, but cheaper sampling snapshots might overlook long-term effects of innovative approaches of farming methods on soil health. Overcoming budgetary hurdles, we aim to achieve long-term soil health monitoring cooperation with local fruit-farmers as co-scientists. Such a transparent and transdisciplinary joint-ownership monitoring approach potentially increases acceptance of required adaptation measures and allows for reliable, robust, long-term assessment of soil health situations. For this, we initialized a soil data exchange network with interested local fruit-farmers. 

While still in the warm-up phase, we already investigated the effect of tree-planting age on selected soil health indicators, namely bulk density, total organic carbon content, and CN ratio at two differently managed apple orchards (O1 and O2) in the Northern-German Altes Land. To overcome the lack of long-term observational data, a space-for-time sampling approach was designed. The sampling design was developed in accordance with farm managers and carbon-cycling modellers. Orchard parcels were selected that represent the same management method but different tree-planting ages, assuming an accumulation of perennial management effects on soil development over time. Trees were grouped into tree-planting age categories 1 year, 10-12 years, and 20-22 years.

All three soil properties show age-dependent trends and variability across time (tree age) and space (management type). Bulk density is significantly different between planting ages 1, 10-12, and 20-22 years on O1 (Medians in g cm-3 of 1.41, 1.26, and 0.98, respectively), but not significant on O2 (Medians in g cm-3 of 1.29, 1.12, and 1.04, respectively). Differences in loss-on-ignition is not significant on O1 (Medians in percentages of 6.2, 7.7, and 8.1, respectively) but significant on O2 (Medians in percentages of 6.6, 6.9, and 9.0, respectively). Total organic carbon is significantly different between tree-planting ages on O1 and O2 (Medians in percentages 2.3, 3.4, and 3.5, respectively in O1, and 2.9*), 3.2, and 4.1, respectively in O2); calculated with Kruskal-Wallis test, n=9 (*) n=8), p<0.05.

Our first results make a strong case for site-specific long-term soil monitoring that considers temporal and spatial land-management variability. Take home message: a careful consideration of temporal and spatial management variations, as well as social and community-related aspects of land management, is advisable for soil health assessment studies in orchards.

How to cite: Rüggen, N. and Kutzbach, L.: Spatial and temporal variability of soil health indicators in Northern German apple orchard soils. A space-for-time approach. , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18733, https://doi.org/10.5194/egusphere-egu26-18733, 2026.

EGU26-20713 | Orals | SSS8.4

Site dominance and the role of soil organic matter and clays in controlling plant-available water in Mediterranean perennial cropping systems 

Juan Emilio Herranz-Luque, Hayfa Zayani, Claudia Ruiz-Sánchez, Youssef Fouad, Didier Michot, Emmanuelle Vaudour, Javier Gonzalez-Canales, Juan Pedro Martín Sanz, Blanca E. Sastre, and Maria Jose Marques Perez

Soil and water conservation is a critical challenge for agricultural systems in Spain. Mediterranean environments are characterized by semiarid conditions, where water scarcity, high evapotranspiration, and irregular rainfall constrain crop productivity and ecosystem sustainability. Soils typically exhibit low organic matter content, structural vulnerability, and a high susceptibility to degradation processes, including erosion, compaction, and reductions in water-holding capacity. Perennial woody crops such as vineyards and olive groves dominate large areas of central Spain and are frequently managed under conditions that intensify soil exposure, particularly through tillage and limited vegetation cover. Under these circumstances, the capacity of soils to retain and supply plant-available water becomes a key determinant of agronomic resilience and long-term soil functioning. Improving soil available water through management therefore requires a mechanistic understanding of how intrinsic soil properties interact with modifiable factors across contrasting edaphic contexts.

The relative importance of soil organic matter (SOM) and clay content in controlling variability in soil available water (AW) is central to understanding soil water retention mechanisms. Both constituents contribute to water storage but operate within strong site-specific constraints and are differentially influenced by management. In this study, the variability of volumetric available water (% vol) was analyzed as the dependent variable in vineyard and olive grove soils under semiarid conditions in central Spain. A linear model was applied including SOM, total clay content, above-ground biomass, management system, site, and their interactions. Univariate tests of significance were used to quantify the independent contribution of each factor while accounting for covariance among variables.

The model explained a large proportion of AW variability (adjusted R² = 0.7; p < 0.05), indicating strong overall performance despite the inherent heterogeneity of Mediterranean soils. Site emerged as the dominant source of variability (p < 0.05), reflecting the influence of inherent soil properties and pedogenic controls. Within this context, SOM, explained a significant proportion of AW variability independent of clay content (p = 0.05), highlighting its role as the main modifiable edaphic factor affecting soil water availability. Clay content exerted a weaker but still significant effect, consistent with its structural control on water retention. Management effects were strongly site dependent, as indicated by a significant management × site interaction (p < 0.05), whereas management alone was not significant, underscoring the absence of uniform management responses across sites. Above-ground biomass did not explain additional variability once soil properties were accounted for, suggesting limited relevance for explaining AW at the 0–30 cm depth considered.

Overall, these results indicate that SOM plays a key role in enhancing soil water availability beyond textural effects, but always within a framework dominated by site-specific soil conditions. This provides a robust basis for further analyses addressing the role of clay mineralogy and soil–organic matter interactions in controlling water retention in Mediterranean perennial cropping systems.

Acknowledgements: This work was supported by the European Joint Programme for SOIL (EJP SOIL), funded by the EU Horizon 2020 Programme (Grant Agreement No. 862695), within the SANCHOTHIRST project. J. González Canales was supported by grant PRE2021-097966 (MCIU/AEI/10.13039/501100011033) and the European Social Fund (ESF). We thank the farmers for field access and management information.

How to cite: Herranz-Luque, J. E., Zayani, H., Ruiz-Sánchez, C., Fouad, Y., Michot, D., Vaudour, E., Gonzalez-Canales, J., Martín Sanz, J. P., Sastre, B. E., and Marques Perez, M. J.: Site dominance and the role of soil organic matter and clays in controlling plant-available water in Mediterranean perennial cropping systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20713, https://doi.org/10.5194/egusphere-egu26-20713, 2026.

EGU26-21912 | Posters on site | SSS8.4

Assessment of Reflectance Metrics and PLSR Modeling for Soil Organic Matter Prediction Using VIS–NIR–SWIR Spectra 

Pilar Carral, Juan Emilio Herranz-Luque, Gonzalo Almendros, Hayfa Zayani, Youssef Fouad, Didier Michot, Emmanuelle Vaudour, Nicolas Baghdadi, Javier Gonzalez-Canales, Juan Pedro mart, Blanca E. Sastre, and Maria Jose Marques

Visible–near infrared–shortwave infrared (VIS–NIR–SWIR, 350–2500 nm) soil reflectance spectroscopy provides a rapid and non-destructive approach for characterizing soil properties, yet the relative contribution of spectral integration metrics, preprocessing strategies, and diagnostic wavelength regions remains an active area of research. In this study, a dataset of 220 soil samples from 30 agricultural sites representing contrasting pedological conditions was analyzed using laboratory reflectance spectra acquired over the full 350–2500 nm range. In addition to point reflectance values, two cumulative reflectance variables were computed: a visible cumulative reflectance (VCR, 350–780 nm) and a full-spectrum cumulative reflectance (CR, 350–2500 nm), designed to capture integrated spectral behavior related to soil color and overall albedo. Partial least squares regression (PLSR) models were developed to predict soil organic matter determined by wet oxidation (SOM), and the influence of spectral range and preprocessing was systematically evaluated.

In particular, VCR emerged as a particularly meaningful descriptor of soil optical behavior, functioning analogously to an integrated soil color or saturation metric and revealing distinct linear trends associated with different soil groups.

The PLSR models based on the full VIS–NIR–SWIR range consistently outperformed those restricted to the visible domain. The most robust and parsimonious configuration used original reflectance data subjected to mean centering, standard normal variate correction, and detrending. Under this configuration, SOM was predicted with coefficients of determination of approximately ≈ 0.58–0.61 and RMSE values near 0.8, using 6–7 latent variables. More aggressive preprocessing strategies, including second derivatives and extensive Savitzky–Golay smoothing, produced only marginal improvements while increasing the spurious effects of noise or reducing interpretability, and were therefore deemed unnecessary.

The Variable Importance in the Projection (VIP) trace revealed that SOM prediction was primarily controlled by a limited number of SWIR absorption regions centered near 552, 1414, 1918–2008, 2140, and 2201–2216 nm, consistent with absorptions associated with organic matter and clay minerals—mainly montmorillonites and kaolinite—with comparatively lower influence from calcite and oxides.

Overall, the results demonstrate that VIS–NIR–SWIR spectroscopy up to 2500 nm enables a physically interpretable estimation of soil organic matter with predictive performance across very different soil types.However, the results also show that SOM prediction remains highly significant when PLSR models are built exclusively from visible-range data (380–780 nm). The findings highlight the utility of cumulative reflectance metrics and the importance of prioritizing model robustness and spectral interpretability over excessive spectral manipulation, supporting the application of full-range soil spectroscopy for soil characterization and mapping at larger scales.

 

Acknowledgements, this research was funded by EJP-SOIL grant agreement 862695. Javier González Canales received funding through grant PRE2021-097966 from MCIU/AEI/10.13039/501100011033 and the European Social Fund (ESF, Investing in Your Future)

How to cite: Carral, P., Herranz-Luque, J. E., Almendros, G., Zayani, H., Fouad, Y., Michot, D., Vaudour, E., Baghdadi, N., Gonzalez-Canales, J., mart, J. P., Sastre, B. E., and Marques, M. J.: Assessment of Reflectance Metrics and PLSR Modeling for Soil Organic Matter Prediction Using VIS–NIR–SWIR Spectra, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21912, https://doi.org/10.5194/egusphere-egu26-21912, 2026.

EGU26-4553 | Posters on site | HS2.1.9

Influence of river network representation on discharge and flooding in kilometre-scale CaMa-Flood simulations across Australia  

Filippo Nelli, Christopher Pickett-Heaps, Fitsum Woldemeskel, Foad Brakhasi, Katayoon Bahramian, Jiawei Hou, Ulrike Bende-Michl, and Wendy Sharples

Australian catchments exhibit diverse hydrological responses across climates, ranging from humid tropical and temperate systems to arid regions with intermittent rivers. Accurately representing this diversity requires river routing models that resolve drainage connectivity, floodplain storage and travel times at high spatial resolution. In this study, we present a novel approach using an Australia wide CaMa-Flood configuration at ~1.5 km (1 arc-minute) resolution, using MERIT-Hydro and Australian Geofabric DEMs to parameterize drainage networks and river geometry

The routing system is driven by projected runoff from the Bureau of Meteorology's operational Australian Water Resources Assessment (AWRA) model, enabling multi-decadal simulations of river discharge and floodplain dynamics across contrasting hydro-climatic regimes. To allow investigating effects of hydrography-driven differences in discharge, water level and inundation, we perform paired CaMa-Flood simulations using identical AWRA runoff. We compare (i) a river network derived from the MERIT digital elevation model and (ii) the Australian Geofabric river network and attributes.

We investigate a range of river systems including low-gradient floodplains, endorheic basins and ephemeral river systems, where flow intermittency and channel–floodplain interactions strongly control downstream hydrological behaviour. Modelled discharge and water levels are evaluated against in situ streamflow and stage gauge observations, while simulated flood extents are compared with satellite-based inundation maps derived from ICEYE synthetic aperture radar imagery. Model behaviour is analysed across representative catchments spanning tropical monsoonal, temperate, semi-arid and arid climates to identify scale-dependent controls on hydrological response. We further assess numerical stability and computational performance to quantify the feasibility of kilometre-scale routing for large-domain and ensemble applications. 

Our results demonstrate that high-resolution routing substantially improves representation of river connectivity and flood dynamics, particularly in dryland environments, providing a robust framework for catchment-scale hydrological analysis and climate-impact studies including future flood-risk assessment and across diverse Australian environments. Future developments will extend this framework through coupling with ocean circulation models to assess the combined influence of tides and storm surge on coastal flood hazard, enabling the evaluation of compound river-coastal flooding processes.

How to cite: Nelli, F., Pickett-Heaps, C., Woldemeskel, F., Brakhasi, F., Bahramian, K., Hou, J., Bende-Michl, U., and Sharples, W.: Influence of river network representation on discharge and flooding in kilometre-scale CaMa-Flood simulations across Australia , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4553, https://doi.org/10.5194/egusphere-egu26-4553, 2026.

Understanding how small-scale processes interact to shape ecosystem development at landscape scales remains a major challenge in environmental science, particularly in post-mining environments where belowground processes are difficult to measure and manipulate. To address this, we established FALCON (2019), an array of four hydrologically isolated artificial catchments (0.25 ha each) in a post-coal mining area in Czechia, enabling controlled, landscape-scale experimentation. Two catchments were reclaimed by leveling and planting alder, while two were left to spontaneous succession on wave-like microtopography. Each catchment is fully instrumented to monitor water, nutrient, gas, and energy fluxes, and includes lysimeters to link small-scale processes to catchment-scale responses. Early studies demonstrate that erosion and deposition strongly control microhabitat formation, with wave-like topography generating pronounced heterogeneity in soil texture, hydrology, and water retention  while homogenization prevail in flat catchments. These processes support surface run off in reclaimed and subsurface run off in unreclaimed catchments. Carbon flux measurements show rapid ecosystem recovery at both reclaimed and unreclaimed sites, with all catchments transitioning from CO₂ sources to sinks within four years; differences between treatments shifted from being driven by soil physical properties to vegetation productivity as alder established. Lysimeter-based assessments indicate that surface water fluxes and evapotranspiration can be reasonably upscaled, particularly in unreclaimed sites, but subsurface flow and solute transport remain poorly represented. Overall, FALCON provides a unique platform to experimentally link erosion, hydrology, biogeochemistry, and carbon exchange across scales

How to cite: Bartuška, M. and Frouz, J.: Large experimental fully hydrologically isolated catchment as a tool to study hydrological and ecological processes on multiple scales , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6970, https://doi.org/10.5194/egusphere-egu26-6970, 2026.

EGU26-7089 | Posters on site | HS2.1.9

Critical zone studies in pre-alpine climate 

Vesna Zupanc, Matic Noč, Urša Pečan, Nejc Golob, Matjaž Glavan, Rok Kuk, Marina Pintar, Tjaša Pogačar, Špela Železnikar, Vid Žitko, Zala Žnidaršič, Luka Žvokelj, and Rozalija Cvejić

Weighing monolith lysimeters enable precise measurement of water balance parameters, including infiltration, evapotranspiration, and deep percolation as well as studies of solute fluxes within the complex soil–plant–atmosphere continuum. At the experimental field of the Biotechnical Faculty, University of Ljubljana, two monolith lysimeters were installed to study solute transport and to measure evapotranspiration. In addition to the installed lysimeters, an advanced meteorological station is located at the same site, enabling measurement of other meteorological variables required for calculating evapotranspiration. To expand and establish a critical zone research site, the lysimeter station was equipped with two cosmic ray neutron sensors for proximity moisture sensing, as well as sampling points for drainage water and groundwater quality. The research center serves as a focal point for soil water balance studies in the peri-urban area of a pre-Alpine climate in central Slovenia, and is a part of SI-COSMOS network that spreads across the Continental, Alpine, Karst, Mediterranean, and Pannonian regions. Biotechnical faculty critical zone research field enables quantification of hydrological processes that control the upper critical zone water balance and contaminant transport under changing climate conditions. Evaluation after the first decade of operation shows that advances in weighing technology, lower boundary condition control, and data processing have made high-precision lysimeters very useful tools; however, they require intensive, regular maintenance to ensure data quality. Drainage water monitoring indicates favorable water quality conditions for developing circular water and nature based solutions in per-urban agricultural landscape.
Acknowledgements: This research was partially supported by ARIS research programme P4-0085, IC RRG-AG (IO-0022-0481-001), Interreg Alpine Space program, project Alpine Space Drought Prediction (A-DROP) (grant number 101147797), European Union – LIFE Programme (LIFE23-IPC-SI-LIFE4ADAPT), OPTAIN Horizon 2020 (grant number 862756), and the Slovenian CAP Strategic Plan 2023–2027 (grant number 33126-3/2025/23).

How to cite: Zupanc, V., Noč, M., Pečan, U., Golob, N., Glavan, M., Kuk, R., Pintar, M., Pogačar, T., Železnikar, Š., Žitko, V., Žnidaršič, Z., Žvokelj, L., and Cvejić, R.: Critical zone studies in pre-alpine climate, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7089, https://doi.org/10.5194/egusphere-egu26-7089, 2026.

EGU26-7113 | ECS | Orals | HS2.1.9

Integrating microbiome responses across warming experiments in coastal marshes 

Johanna Schwarzer, Susanne Liebner, Alexander Bartholomäus, Ella Lu Logemann, Julian Mittman- Goetsch, Kai Jensen, Simon Thomsen, J. Patrick Megonigal, Roy Rich, Genevieve Noyce, and Peter Mueller

 

Coastal marshes are critical carbon sinks in the global carbon system, yet rising temperatures may alter microbial processes that regulate carbon and nutrient cycling. In a recent ex-situ warming experiment conducted in the Climate Change Marsh Mesocosm Facility (CCMMF) at the University of Hamburg, Germany, we could show that warming can alter soil microbial communities, and that responses vary with environmental context, such as plant community diversity and ecosystem age. We also found that warming favored microbial taxa with traits supporting plant growth and nutrient cycling. Here, we expanded our analysis and included microbial 16S rRNA gene sequencing data sets from two in-situ coastal marsh warming experiments: MERIT (“Marsh Ecosystem Response to Increased Temperatures”) in northern Germany and SMARTX (“Salt Marsh Accretion Response to Temperature eXperiment”) in a brackish marsh on Chesapeake Bay, USA. By this, we combined three genetic microbial data sets of coastal marshes characterized by different soil type, ecosystem age, vegetation type, tidal regime, and soil carbon and nitrogen stocks.

We will show how warming-induced shifts in microbial community relate to ecological parameters across sites building on the hypothesis that microbial responses to warming vary strongly with vegetation composition and ecosystem age. With this meta study, we will be able to identify key factors controlling microbial responses to experimentally increased temperatures to better understand how climate change reshapes microbial composition and thereby carbon dynamics in coastal wetlands.

How to cite: Schwarzer, J., Liebner, S., Bartholomäus, A., Logemann, E. L., Mittman- Goetsch, J., Jensen, K., Thomsen, S., Megonigal, J. P., Rich, R., Noyce, G., and Mueller, P.: Integrating microbiome responses across warming experiments in coastal marshes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7113, https://doi.org/10.5194/egusphere-egu26-7113, 2026.

EGU26-9220 | Posters on site | HS2.1.9

WATCH / Time2WATCH projects towards the implementation of a permanent observatory of groundwater in Kenya – A first hydrogeological model of the Chyulu Hills 

Helene Celle, Julie Albaric, Yael Barre-Rolland, Stéphanie Gautier, Yanni Gunnell, Jean-Christophe Ianigro, Ian Kaniu, Jacques Marteau, Agnes Mbugua, François Mialhe, Patrick Murunga, Oldrich Navratil, Pierre Nevers, Edwin Nyaga, Lydia Olaka, Lydia Roos, Christel Tiberi, Matias Tramontini, and Dennis Waga

In semi-arid southern Kenya, the Chyulu Hills consist of an alignment of Quaternary scoria cones and basaltic lava flows. This ~80-km-long, NW–SE volcanic fissure vent hosts underground water resources of importance to the local rural population and the savanna ecosystems. The subvolcanic topography allows groundwater to flow south and east, resulting in a line of springs along the base of the hills. Several springs are partially tapped to supply water for drinking water and farming activities. Mzima spring, in the south, yields 70% of the total outflow of the Chyulu Hills watershed, and 10% of Mzima water is diverted from its local use to supply the city of Mombasa, 200 km to the southeast. This generates conflict between local residents and regional water resource authorities. It is therefore crucial to quantify the water resources of the Chyulu Hills and establish to what extent these are suitable for sustainably supplying the local and wider regional population in the future, in a context of global change. The WATCH and Time2WATCH projects (2024–2026), funded by the Centre National de la Recherche Scientifique (France), aim to assess and monitor Chyulu-wide water budgets by setting up a multidisciplinary observatory combining meteorological, geophysical, geological, hydrogeological, and land use/land cover evaluations. This observatory was elaborated in close collaboration between Kenya (University of Nairobi, Technical University of Kenya, Regional Centre on Groundwater Resources Education, Training & Research) and France (Université Lumière Lyon 2, Université Claude Bernard Lyon 1, Université Marie and Louis Pasteur, Université de Montpellier, Sorbonne Université). The present contribution mainly focuses on preliminary hydrochemistry results. Their integration across the entire observatory provides the first functional insights into the Chyulu Hills groundwater system.

How to cite: Celle, H., Albaric, J., Barre-Rolland, Y., Gautier, S., Gunnell, Y., Ianigro, J.-C., Kaniu, I., Marteau, J., Mbugua, A., Mialhe, F., Murunga, P., Navratil, O., Nevers, P., Nyaga, E., Olaka, L., Roos, L., Tiberi, C., Tramontini, M., and Waga, D.: WATCH / Time2WATCH projects towards the implementation of a permanent observatory of groundwater in Kenya – A first hydrogeological model of the Chyulu Hills, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9220, https://doi.org/10.5194/egusphere-egu26-9220, 2026.

EGU26-12381 | Orals | HS2.1.9

Infrastructures – a primer for the Critical Zone 

Martyn Futter, Ulf Grandin, Dolly Kothawala, Holger Villwock, Marcus Wallin, James Weldon, and Blaize Denfield

This presentation will articulate a metaphor about painting. If it is successful, you should be convinced that there are things out there that, if we made better use of them, would significantly enhance our understanding of the critical zone. Before working on the actual painting, most artists apply one or more coats of primer. In most finished paintings, you don’t see the primer, but without it, the painting would likely not be as good. Just because we don’t usually think about the primer doesn’t mean it isn’t there. 


One can make the same argument for monitoring and research infrastructures; hopefully you can be convinced that infrastructures could provide the primer behind the critical zone painting. Infrastructures such as the International Cooperative Programme on Integrated Monitoring of Air Pollution Effects (ICP-IM) collect, curate and report monitoring data to assess compliance with European legislation. In some ways, the data they collect are a by-product or intermediary step in regulatory assessments. However, these long-term, standardized, well curated and increasingly open access data series can be a resource in and of themselves as well as providing vital context for new data collection.


Some infrastructures, e.g., the Swedish Infrastructure for Ecosystem Science (SITES) and the Integrated European Long-Term Ecosystem, critical zone and socio-ecological system Research Infrastructure (eLTER) not only collect and curate environmental data, they function as a platform to support field sampling and experiments across multiple ecosystems and spatial scales. The background monitoring data collected by the infrastructure enhances the scientific value of these experiments. Platforms can also help to grow networks by providing the opportunity for people to work together on new questions, such as in the global Aquatic Mesocosm network (AQUACOSM).


Often, the role of these networks, platforms and infrastructures is mentioned in the acknowledgements, if at all. Even if they are not visible, they are vital. The future of infrastructures and platforms is not guaranteed. If we as a community make more use and highlight what they have to offer, it helps them to secure their future and to give us a primer for our scientific canvas.

How to cite: Futter, M., Grandin, U., Kothawala, D., Villwock, H., Wallin, M., Weldon, J., and Denfield, B.: Infrastructures – a primer for the Critical Zone, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12381, https://doi.org/10.5194/egusphere-egu26-12381, 2026.

EGU26-12631 | Orals | HS2.1.9

Lessons learned from a long-term manipulation experiment in a semi-arid savanna ecosystem 

Laura Nadolski, Sinikka Paulus, Bayu Hanggara, Richard Nair, Tarek El Madany, Arnaud Carrara, Mirco Migliavacca, Markus Reichstein, and Sung-Ching Lee

Semi-arid ecosystems dominate the interannual variability and trend of the terrestrial carbon sink. They are sensitive to anthropogenic environmental changes, including shifts in the nitrogen (N) to phosphorus (P) ratio driven by increasing N deposition.

In 2015, a large-scale fertilization experiment was established at Majadas de Tiétar, a tree-grass ecosystem in western Spain. Three eddy covariance towers operate simultaneously at the site: one serves as unfertilized control plot, one measures an area fertilized with N, and the third samples an area with N and P addition. This setup provides an exceptional opportunity to study the long-term influence of altered N:P ratios on ecosystem functioning. Flux measurements are complemented by a variety of other instruments, such as lysimeters, mini-rhizotrons, soil chambers, soil sensors, phenocams and proximal sensing instruments. The comprehensive measurement setup at Majadas de Tiétar therefore enables a deeper understanding of the trends and interactions among climate change, nutrient availability and the biogeochemical cycles of carbon, N, and P in semi-arid ecosystems.

We found that both fertilization schemes increased carbon uptake, and that N+P addition enhanced the water use efficiency more than N-only addition. Fertilization also increased the inter-annual variability of net ecosystem exchange (NEE) and altered the sensitivity of seasonal NEE to its drivers. However, water limitation in summer and energy limitation in winter overweighed fertilization effects at the seasonal scale.

How to cite: Nadolski, L., Paulus, S., Hanggara, B., Nair, R., El Madany, T., Carrara, A., Migliavacca, M., Reichstein, M., and Lee, S.-C.: Lessons learned from a long-term manipulation experiment in a semi-arid savanna ecosystem, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12631, https://doi.org/10.5194/egusphere-egu26-12631, 2026.

EGU26-12900 | ECS | Posters on site | HS2.1.9

Hydro-ecological controls of dissolved organic carbon dynamics and greenhouse gas emissions in a temperate peatland: A multi-disciplinary collaboration in the Frasne peatland observatory (Jura Mountains, France) 

Noémie Poteaux, Alexandre Lhosmot, Marc Steinmann, Robin Calisti, Adrien Jacotot, Sarah Coffinet, Philippe Binet, Anne Boetsch, Marie-Laure Toussaint, Lilian Joly, Nicolas Dumelie, Jean-Louis Bonne, Laurent Longueverne, Marie-Noelle Pons, Christophe Loup, and Guillaume Bertrand

Peatlands are increasingly recognized as key components of the Critical Zone (CZ) - the thin layer at the surface of the Earth where major biogeochemical reactions occur - , because they tightly integrate, within a single ecosystem, hydrological, biological, and carbon cycle processes that all impact each other. Although they cover only about 3% of the global continental surface, they store over 30% of global soil organic carbon, highlighting their long-term role as carbon sinks, largely due to permanent water saturation and specific vegetation. However, climate change is increasingly disrupting the hydroecological balance of peatlands, potentially converting them from carbon sinks into sources of greenhouse gases (GHGs) and dissolved organic carbon (DOC).              
In this study, we adopted an approach using innovative techniques developed within the TERRA FORMA initiative of the French OZCAR CNRS research infrastructure. Our work was focused on a temperate 7-hectare peatland (Frasne, French Jura Mountains) hosting a long-term Critical Zone observatory (SNO Tourbières) to unravel the mechanisms underlying the continuum of DOC production, mineralization and export to the atmosphere as GHGs (CO₂ and CH₄). Spatial variability in DOC quality - including aromaticity, molecular weight, and microbial origin - was compared to hydrological gradients, vegetation types and atmospheric GHG concentrations, the latter measured by drone surveys and ground-based accumulation chambers.              
The results indicate a preferential production of recalcitrant DOC in the upstream part of the peatland, where conifers dominate the vegetation. In contrast, biochemical markers reveal intense microbial decomposition of organic carbon in the more frequently flooded downstream zones, producing DOC that is lower in concentration, less aromatic, and more labile. This area coincides with higher GHG concentrations in the overlying atmosphere, suggesting that the labile DOC is readily transformed into GHGs. This pattern is hypothesized to result from the presence of less aromatic molecules originating from vascular plants and Sphagnum moss exudates formed under anaerobic conditions, in areas where the water table is close to the surface. With declining Water Table Depth (WTD), this more labile carbon becomes exposed to aerobic conditions, enhancing microbial respiration and promoting GHG emissions.
Lateral DOC export at the outlet of the peatland is strongly controlled at seasonal scale: export increases in spring and autumn during WTD transitions, with generally higher fluxes in winter when the water table is near the surface. In the context of climate change, with progressively wetter winters and drier summers, this pattern suggests a potential intensification of winter DOC export and higher atmospheric GHG emissions during summer, thus leading both to increased annual organic carbon exports. However, the model still needs to account for changes in vegetation type and productivity to fully capture future dynamics.
Overall, this study emphasizes that understanding such a complex environment requires strong integration across scientific disciplines. The integrative framework enabled by the OZCAR  research infrastructure provides a robust foundation for a better understanding of peatland carbon dynamics at different spatial scales.

How to cite: Poteaux, N., Lhosmot, A., Steinmann, M., Calisti, R., Jacotot, A., Coffinet, S., Binet, P., Boetsch, A., Toussaint, M.-L., Joly, L., Dumelie, N., Bonne, J.-L., Longueverne, L., Pons, M.-N., Loup, C., and Bertrand, G.: Hydro-ecological controls of dissolved organic carbon dynamics and greenhouse gas emissions in a temperate peatland: A multi-disciplinary collaboration in the Frasne peatland observatory (Jura Mountains, France), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12900, https://doi.org/10.5194/egusphere-egu26-12900, 2026.

Snowmelt-driven watersheds provide water for billions of people, yet warming temperatures threaten to reduce streamflow across these regions. One pathway for greater water loss is through increased evapotranspiration (ET), particularly during the warm summer growing months. However, the magnitude of summer transpiration and the water sources accessed by vegetation remain poorly understood. While snowmelt is the primary driver for peak runoff and supplies soil moisture for early summer transpiration, vegetation water use and its influence on summer baseflow are less well understood.

To study this pathway, we instrumented an 81 ha headwaters micro-catchment in the Upper Colorado River Basin (UCRB), where ET represents the largest annual water flux. This site includes eddy-flux towers, stream gages, shallow groundwater wells, sap-flux sensors, and a dense soil-moisture network. High-resolution eddy-flux observations show how ET is sustained even during extended summer droughts. Over three growing seasons, daily fluctuations in soil moisture, groundwater, and streamflow indicate roots intercept shallow groundwater to support the continued transpiration during these dry periods.

We extended this analysis basin wide across 18 headwaters catchments and observed that summer growing season conditions independently regulate streamflow, with effects rivaling those of snowpack. Warm summers suppress streamflow, causing high-snowpack years to be near-average, while cool summers elevate flow.

Together these results demonstrate upland vegetation suppresses summer streamflow in mountain headwaters by sustaining transpiration through shallow groundwater access during hot, dry periods. As warming continues, this vegetation-groundwater pathway will intensify summer streamflow declines across mountain regions, with significant implications for future water availability and management.

How to cite: Stone, H. and Maxwell, R.: Not Just Snowpack: Vegetation-Groundwater Controls on Summertime Streamflow in Colorado River Headwaters, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14762, https://doi.org/10.5194/egusphere-egu26-14762, 2026.

EGU26-15714 | Posters on site | HS2.1.9

Manipulation to prediction: integrating flood experiments and AI to understand coastal forest mortality 

Peter Regier, Ben Bond-Lamberty, Pat Megonigal, Ben Sulman, Nicholas Ward, and Vanessa Bailey

Rising sea levels and intensifying storms are driving increased flooding and salinization of coastal forests, yet the mechanistic pathways linking belowground disturbances to forest mortality remain poorly constrained. We designed an ecosystem-scale flood manipulation experiment in a coastal forest to disentangle the roles of inundation and salinity in initiating the hypothesized “tree mortality spiral”. Our experimental plots are outfitted with an extensive array of sensors to complement high resolution sampling campaigns, allowing us to observe immediate and lagged responses to flooding. Experimental flooding drove rapid, consistent shifts in soil biogeochemistry indicative of oxygen stress and altered carbon cycling, followed by a lagged response in aboveground vegetation. The temporal disconnect between belowground process thresholds and observable forest impacts demonstrates how manipulative experiments can benchmark the early stages of transitions in the coastal Critical Zone. 

Building on our field-based findings and substantial AI-ready datasets produced over multiple years of flooding experiments, we are developing a coupled modeling framework that leverages both AI-based and process-based models to predict forest responses under future flooding regimes. Through this integrated approach, we aim to understand how disturbance intensity, duration, and legacy effects propagate across time and space to control coastal forest resilience. The combination of controlled large-scale ecosystem manipulation and data-driven predictive modeling provides a framework for bridging disciplines and scales—linking soil biogeochemistry, ecohydrology, and vegetation dynamics—to improve projections of coastal forest mortality and its consequences for coastal Critical Zone carbon cycling.

How to cite: Regier, P., Bond-Lamberty, B., Megonigal, P., Sulman, B., Ward, N., and Bailey, V.: Manipulation to prediction: integrating flood experiments and AI to understand coastal forest mortality, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15714, https://doi.org/10.5194/egusphere-egu26-15714, 2026.

EGU26-15787 | Posters on site | HS2.1.9

Investigating the Root Zone Critical Interface in Intensively Managed Critical Zones 

Ashlee Dere, Brian Saccardi, Jinyu Wang, Jennifer Druhan, Neal Blair, Lisa Welp, Timothy Filley, Martha Jimenez-Castaneda, Sean Schaeffer, Andrew Stumpf, Erin Bauer, James Haken, Isaac Noel, Kelly Deuerling, Alison Anders, Allison Goodwell, and Praveen Kumar

The Critical Zone (CZ) in the Midwestern United States has transformed from predominantly prairie landscapes to highly productive row-crop agriculture that requires intensive management such as tillage, tile drains and fertilizer inputs. The Critical Interfaces CZ Network (CINet) project focused on three critical interfaces that are important regulators of material storage, transport and transformation in the CZ: the near-land surface, the active root zone and the river corridor. To investigate the root zone critical interface, we established instrument clusters called MIRZ (Management Induced Reactive Zone) in Illinois and Nebraska on both agriculture and restored prairie land management. The study sites differ in climate and geology: Illinois has wetter conditions (100 cm MAP) with loess over glacial till and extensive tile drainage, while Nebraska is drier (78 cm MAP), formed in loess, and lacks artificial drainage. At each site, precipitation, soil porewater (sampled at 20, 60, 110, and 180 cm depths), surface waters, tile drains, groundwater and soil gases were collected biweekly. In addition, co-located sensors were installed to monitor soil moisture, temperature, electrical conductivity, oxygen, carbon dioxide, and meteorological conditions at hourly intervals. Bulk soil measurements included geochemistry, carbon/nitrogen concentrations, mineralogy, density and particle size. Key findings from the MIRZ root zone measurements suggest that land use strongly controls how quickly water moves through soils and how much geochemical alteration occurs before water reaches streams. Longer water residence times and greater water–mineral interaction occur in agricultural soils, whereas stronger soil structure and deeper root systems in restored prairies promote rapid infiltration and more limited geochemical alteration. The geochemical similarity between agricultural porewaters and stream or tile-drain waters highlights strong hydrologic connectivity and implies that agricultural land use fundamentally alters root-zone structure, water flow paths, and ultimately stream geochemistry at the watershed scale. The diverse and deeply rooted prairie vegetation also influences soil gases, with higher carbon dioxide production rates and enhanced seasonal variability in prairie soils compared to agricultural soils. The widespread conversion of Midwestern USA prairies to intensive agriculture has therefore altered solute, carbon, and gas fluxes throughout the root zone critical interface, including the depth and intensity of the reactive zone where weathering, nutrient cycling, and carbon storage occur.

How to cite: Dere, A., Saccardi, B., Wang, J., Druhan, J., Blair, N., Welp, L., Filley, T., Jimenez-Castaneda, M., Schaeffer, S., Stumpf, A., Bauer, E., Haken, J., Noel, I., Deuerling, K., Anders, A., Goodwell, A., and Kumar, P.: Investigating the Root Zone Critical Interface in Intensively Managed Critical Zones, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15787, https://doi.org/10.5194/egusphere-egu26-15787, 2026.

EGU26-16343 | Orals | HS2.1.9

The future of critical zone research in Europe imbedded in eLTER research infrastructure 

Jérôme Gaillardet and Michael Mirtl

Although scientific disciplines are becoming increasingly specialised and expert, they nevertheless isolate themselves from one another. This is particularly evident in the study of the Earth's surface. Over time, the geosciences have diverged from ecology, despite the fact that the historical concept of ecosystem (Tansley, 1935) included both biotic and abiotic components. With time and investment from also compartmented institutions, this has led to independent communities developing parallel research and equipping themselves with field laboratories (long-term observatories): geosciences focusing on the biophysical components of water, relief, and soils, and ecology focusing on biodiversity. Even within geosciences, disciplines are isolated and have developed their own “dialects”.

The Critical Zone Initiative, which originated in the US in 2003, was an attempt to encourage these different Earth science communities to collaborate at the level of instrumented scales (Critical Zone Observatories). This initiative has expanded further in Europe, particularly through the SoilTrec FP7 programme (2009–2014), the CRITEX program in France (2022-2021) or the OZCAR and TERENO research networks in France and Germany respectively. Today, these divisions are no longer tenable. The deterioration of the planet's habitability means that we need to return to a much more systemic approach to habitats that support life, particularly humans and their societies. While disciplinary expertise, particularly in experimental developments and numerical modelling, is necessary, it is far from sufficient to understand how changes in biodiversity will affect biogeochemical cycles, water and food resources.

The eLTER (Long-Term Ecosystem, critical zone, and socio-ecological) Research Infrastructure represents a unique and even historic achievement to (re)connect scientific communities working in the field of environmental and sustainability sciences on continental surfaces. At a backbone of permanently operated sites, eLTER promotes a holistic approach from the local/regional to the continental and global scales. In this contribution, we will present eLTER and show how the list of eLTER Standard Observations selected, distributed across different layers or “spheres,” and the categorization of sites (with a focus on the geosphere and hydrosphere) make it possible to capitalize on the previous works of the critical zone community and enrich it with ecological measurements or socio-ecological practices (Zaccharias et al., 2025). The services offered by eLTER RI also exploit recent advances in critical zone modeling. They provide access to a network of sites spanning large environmental conditions open to transnational access and an open data base and hence a unique opportunity for the moving forward critical zone science, at the local to global scales.

eLTER is the European future of critical zone science.

Tansley, A. G. (1935). The use and abuse of vegetational concepts and terms. Ecology,16, 284–307.

Zacharias, S., Lumpi, T., Weldon, J., Dirnboeck, T., Gaillardet, J., Haase, P., ... & Mirtl, M. (2025). Achieving harmonized and integrated long-term environmental observation of essential ecosystem variables-eLTER's Framework of Standard Observations. Authorea Preprints.

How to cite: Gaillardet, J. and Mirtl, M.: The future of critical zone research in Europe imbedded in eLTER research infrastructure, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16343, https://doi.org/10.5194/egusphere-egu26-16343, 2026.

EGU26-16646 | Orals | HS2.1.9

Revisiting the meanings of the Critical Zone through the OZCAR research infrastructure example, definitions and evolutions 

Damien Jougnot, Isabelle Braud, Julien Tournebize, Brice Boudevillain, Agnès Rivière, Jean Marcais, Eliot Chatton, Sylvain Pasquet, Julien Bouchez, Héloise Bénard, and Jérôme Gaillardet

Since its first definition by the National Research Council in 2001, the concept of Critical Zone has known undeniable success over the last quarter of a century. A success that is often reflected by the evolution and diversification of its meanings. Recently, Lee et al. (2023) proposed a review that literally focuses on “the meanings of the Critical Zone”. Through an extensive review of the literature across the disciplines and journals, they have identified three loosely overlapping meanings. An ontological meaning, where the Critical Zone is mostly seen as the Earth’s spatial interface where geochemical and biological activity sustains life. An epistemic meaning, where the Critical Zone is considered a product of collaborative efforts between scientific communities to build a whole-system knowledge data-base and library. And finally, an anthropocenic meaning, where the Critical Zone is the vulnerable home of the human species. In this contribution, we aim at revisiting these three meanings through the creation and development of the French network OZCAR (Critical Zone Observatories: Research and Application).

Created in 2015 to enhance the collaborations between Critical Zone observatories (Gaillardet et al., 2018), OZCAR is a French Research Infrastructure that gathers 23 national observation services and +120 study sites in metropolitan France and on 5 continents. If most observation services existed prior to the creation of OZCAR, we have seen major evolutions over the last decade as the OZCAR community developed and bloomed. Originally conceived as a spatial definition (ontological meaning), the “Critical Zone” words in OZCAR became a vast collaborative effort to develop the whole system approach and data base (epistemic meaning). It is now also fostering transformative research aimed at preserving our planet’s habitability, i.e., the giant spaceship in which we all live together (anthropocenic meaning).

References:

  • Lee, R. M., Shoshitaishvili, B., Wood, R. L., Bekker, J., & Abbott, B. W. (2023). The meanings of the Critical Zone. Anthropocene, 42, 100377.,doi:10.1016/j.ancene.2023.100377.
  • Gaillardet, J., Braud, I., Hankard, F., Anquetin, S., Bour, O., Dorfliger, N., et al. (2018). OZCAR: The French network of critical zone observatories. Vadose Zone Journal, 17(1), 1-24, doi:10.2136/vzj2018.04.0067.

How to cite: Jougnot, D., Braud, I., Tournebize, J., Boudevillain, B., Rivière, A., Marcais, J., Chatton, E., Pasquet, S., Bouchez, J., Bénard, H., and Gaillardet, J.: Revisiting the meanings of the Critical Zone through the OZCAR research infrastructure example, definitions and evolutions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16646, https://doi.org/10.5194/egusphere-egu26-16646, 2026.

EGU26-18719 | Posters on site | HS2.1.9

Connecting Ecosystems Across Scales: eLTER Standard Observations and Critical Zone Science 

Steffen Zacharias, Jaana Bäck, Jérôme Gaillardet, and Michael Mirtl

The European Long-Term Ecosystem, Critical Zone, and Socio-Ecological Research Infrastructure (eLTER RI) aims to provide a continental-scale, site-based network for observing, understanding, and addressing major ecological, geochemical, and socio-ecological challenges. A core element of eLTER RI is the implementation of the eLTER Standard Observations (SOs), which establish a harmonised framework for the systematic collection and analysis of long-term environmental data across a diverse range of ecosystems. Ensuring methodological consistency and interoperability by the SOs is imperative in order to create a shared observational basis. Such a basis is essential for large-scale synthesis and international collaboration, particularly within the context of Critical Zone Science.

The eLTER Standard Observations adopt a multidisciplinary perspective, integrating biological, hydrological, geochemical, climatic, soil-related, and socio-economic variables. Core thematic domains include biodiversity, primary production, water quality, nutrient and carbon cycling, soil processes, and climate dynamics. This integrated design explicitly supports Critical Zone Science by enabling the coupled analysis of processes spanning the Earth’s surface, from the vegetation canopy through soils and groundwater to the underlying geology, while simultaneously accounting for human influences. Standardisation across sites and regions ensures data comparability over space and time, facilitating cross-site analyses, model development, and the identification of patterns and drivers of change.

The SOs are closely aligned with the concept of Essential Variables (EVs) and cover key elements of Essential Climate Variables (ECVs), Essential Biodiversity Variables (EBVs), and Essential Socio-Economic Variables (ESVs). Through this coverage, the SOs provide a comprehensive observational foundation to assess ecosystem status, track long-term trends, and analyse human–nature interactions. By harmonising observations and explicitly linking Critical Zone processes to existing EV frameworks, eLTER strengthens connections between national and international research initiatives and enhances the contribution of European long-term ecosystem research to global observation systems.

This presentation will outline the scope, methodology, and scientific relevance of the eLTER Standard Observations, with a particular emphasis on their role in fostering international collaboration in Critical Zone Science. It will demonstrate how the SOs support integrative ecosystem research and contribute to addressing global challenges such as climate change, biodiversity loss, and sustainable resource management through coordinated, long-term, and comparable observations.

How to cite: Zacharias, S., Bäck, J., Gaillardet, J., and Mirtl, M.: Connecting Ecosystems Across Scales: eLTER Standard Observations and Critical Zone Science, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18719, https://doi.org/10.5194/egusphere-egu26-18719, 2026.

EGU26-22054 | Posters on site | HS2.1.9

DELUGE - Disturbance and Ecohydrological Legacies in Upland Great-lakes Ecosystems: An Ecosystem Scale experiment to study coastal critical zone 

Inke Forbrich, Kennedy Doro, Avni Malhotra, Etienne Fluet-Chouinard, Prince Atiti, Alaina Foster, Evangelos Grammenidis, Roberta Peixoto, Fausto Machado-Silva, Roy Rich, Sacha Brewer, Cecilia Howard, Kenton Rod, Nicholas Ward, Michael Weintraub, Patrick Megonigal, and Vanessa Bailey

Coastal ecosystems along the Great Lakes play an important role in critical element cycling between land and lake ecosystems. Because lake water levels are highly dynamic, the dominant ecosystems (marsh, swamp, upland forest) constantly respond to the varying water line. Flood pulses are important controls on plant community zonation, as well as their respective biogeochemical functions, setting the boundary between herbaceous wetlands, forested wetlands, and/or upland forest based on the respective flooding tolerance. Because lake levels are predicted to increase in future decades (e.g. 2040-2049 vs. 2010-2019), shifts in ecosystem boundaries are expected but the change in ecosystem function is currently unknown.

To understand the impact these flood pulses have on soil biogeochemistry and plant function, we are implementing an ecosystem-scale manipulative experiment to create increasingly intense flood pulses by pumping water across an elevation gradient from forested wetland to upland (DELUGE - Disturbance and Ecohydrological Legacies in Upland Great-lakes Ecosystems). We follow a before-after-control-impact design using two diked parcels in the Ottawa National Wildlife Refuge at the coast of Lake Erie, one of which will be untreated and serve as a reference. The main objective is to gain a mechanistic understanding of how the effects of freshwater flooding and subsequent drainage propagate through water, soils, microbes, and plants to cause ecosystem state changes such as tree mortality and changes in biogeochemical cycling. Here we present the experimental design, site characterization, and results from sensor-based baseline measurements which started in June, 2025. Results from DELUGE will be incorporated into multi-scale process and Earth system models, with the overarching goal of an improved predictive understanding of coastal ecosystems.

How to cite: Forbrich, I., Doro, K., Malhotra, A., Fluet-Chouinard, E., Atiti, P., Foster, A., Grammenidis, E., Peixoto, R., Machado-Silva, F., Rich, R., Brewer, S., Howard, C., Rod, K., Ward, N., Weintraub, M., Megonigal, P., and Bailey, V.: DELUGE - Disturbance and Ecohydrological Legacies in Upland Great-lakes Ecosystems: An Ecosystem Scale experiment to study coastal critical zone, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22054, https://doi.org/10.5194/egusphere-egu26-22054, 2026.

The soil security situation in Africa continues to worsen endangering both food production, population health and Sustainable Development Goal (SDG) achievement. While soil degradation and contamination happen in local areas, policies remain largely at national levels or beyond. This situation exists because of an organizational dependence on low-resolution top-down geospatial information which fails to detect the micro-scale mechanisms operating within African critical zones.
The study combines data from the Critical Zones Africa (CZA) project which studied five African countries including Ethiopia, Tanzania, Malawi, Zimbabwe and South Africa to understand the reasons behind different soil policies that do not match smallholder farming practices. The study evaluates the advantages and weaknesses of multiple geospatial tools through a systematic literature review framework to analyze land-use and land-cover mapping and vegetation indices and erosion models and hydrological simulations.
The study results demonstrate that geospatial methods successfully detect large-scale patterns of land deterioration and soil erosion vulnerability, but they do not solve essential soil management problems which need higher resolution at both farm and community levels. The main blind spots exist in Ethiopia where geochemical contamination occurs, and Tanzania faces groundwater contamination because of agricultural land growth and Malawi experiences soil degradation because of deforestation and Zimbabwe and South Africa struggle with water system nutrient waste. The evaluation process for all cases shows that soil investment choices and governance decisions face limitations because the available data does not match what happens in the field.
The achievement of soil security in African critical zones needs policymakers to adopt evidence-based integrated systems which operate at suitable scales. We recommend three essential measures which include: (i) providing all of Africa with access to detailed geospatial information (ii) African soil science education needs to be revitalized while laboratory facilities must be restored (iii) All fields must undergo ground-truthing assessments while local communities need to participate in the process. The study also recommends that proposed work program for AMCEN during 2026-2028 should enable UNEP to provide high-resolution data access which will help develop soil policies that fit the specific conditions of African territories.

How to cite: Chari, M. and Green, L.: Linking geospatial science with local knowledge systems to support soil security in African critical zones, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22760, https://doi.org/10.5194/egusphere-egu26-22760, 2026.

The Lilongwe River Upper Catchment Area (LRUC) exemplifies the urgent need for Critical Zone Science (CZS) in Africa, where biophysical degradation and socio-political inequities converge. This study applies a CZ lens to investigate how soil health deterioration, land commodification, governance fragmentation, and gendered struggles intersect to undermine ecological livability and community resilience. Preliminary findings reveal alarming soil erosion rates exceeding global tolerable limits, rapid land-use transformations driven by urbanization and infrastructure expansion, and persistent exclusion of women from land and resource governance.

By integrating soil health assessments, geospatial analysis, ethnographic inquiry, and participatory community engagement, the Malawi CZA team identifies critical micro-watersheds where ecological degradation and human vulnerability overlap. Modeling of Nature-Based Solutions (NbS), including reforestation, contour farming, and integrated agroecological practices, demonstrates pathways to restore soil function, regulate hydrology, and enhance resilience under future climate scenarios. Importantly, the research situates soil health as both an ecological indicator and a sociopolitical marker, revealing how commodification and complex tenure systems exacerbate inequities.

This work contributes to global CZ science by foregrounding African environmentalism and community-driven approaches, while linking directly to Sustainable Development Goals (SDGs) 1 (poverty reduction), 2 (food security), 5 (gender equality), and 15 (life on land). By framing LRUC as a social-ecological system shaped by material flows and governance structures, the Malawi CZA initiative demonstrates how CZ methodologies can inform inclusive policies, strengthen grassroots participation, and advance equitable sustainability in rapidly transforming landscapes.

How to cite: Kampanje Phiri, J.: “Our Soils are Sick”: Addressing Soil Health, Energy, Land, Governance and Gender Complexities through Critical Zone Approaches in Lilongwe River Upper Catchment Area of Malawi, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23138, https://doi.org/10.5194/egusphere-egu26-23138, 2026.

Urban watersheds in sub-Saharan Africa face unprecedented environmental degradation due to rapid urbanization, inadequate infrastructure, and governance failures. Lake Chivero, a shallow hypereutrophic reservoir constructed in 1952 on Zimbabwe's Manyame River, exemplifies this crisis. Serving as the primary water source for Harare and its dormitory towns of Chitungwiza and Ruwa a combined population exceeding 2.4 million. The lake has experienced catastrophic deterioration over seven decades. This study presents an innovative multidisciplinary framework combining Critical Zone Sciences with participatory diagnosis and community engagement to address complex socio-environmental challenges threatening water security in rapidly urbanizing African contexts. This framework offers scalable insights for addressing watershed degradation across African urban centers where rapid demographic transitions outpace infrastructure development and governance capacity, demonstrating how transdisciplinary approaches can bridge science-policy-community divides to achieve sustainable water resource management.

Lake Chivero's degradation manifests across multiple dimensions. Sedimentation has consumed 18% of the reservoir's storage capacity (49,126,170.34 m³), with annual capacity losses averaging 792,357 m³ year⁻¹ since 1953. Current sedimentation rates of 352.31 m³ year⁻¹ km⁻² project a remaining useful life of merely 106.63 years, pointing to a "2050 Doomsday Scenario." Sediment composition analysis reveals concerning proportions of mud (54%), sand (24%), and silt (22%). Nutrient pollution has escalated dramatically, with combined nitrogen and phosphorus loads surging from 3,524 tons in 2000 to 38,940 tons in 2012, an increase primarily attributable to untreated and partially treated sewage effluent. This pollution has triggered extensive water hyacinth (Pontederia crassipes) proliferation, linked to sewage effluent and abattoir waste discharge. Public health consequences include cholera outbreaks, waterborne diseases, and elevated cancer incidence rates, while ecological and economic impacts manifest in green-colored water and ecosystem collapse, as well as ballooned water treatment and public costs.

The research identifies governance fragmentation and knowledge silos as critical barriers to effective watershed management. Population growth from 200,000 during the colonial era to over 2.4 million by 2022, compounded by civil conflict in the 1970s, rural-urban migration, economic structural adjustment programs (ESAP), and informal settlement expansion, has overwhelmed water and sanitation infrastructure. Policy dissonance, corruption, informal waste management through opaque private contracts, chemically intensive agriculture, and politically connected land speculation further exacerbate environmental stress.

Our methodological innovation addresses these challenges through deliberate transdisciplinary integration. The research team comprises experts in social sciences, governance, environmental science, GIS, soil science, hydrology, waste management, and renewable energy. We hypothesize that fragmented relationships among stakeholder’s stem fundamentally from asymmetric data access and exclusion of local communities from knowledge production and decision-making processes. Our approach systematically reviews published literature while collecting primary field data, then transforms scientific findings into accessible formats for policymakers, government officials, planners, and local communities.

Participatory diagnosis employs ethnographic methods including "photovoice" to capture thick descriptions of lived experiences, validating local knowledge systems alongside scientific data. GIS-based time series analysis integrates scientific measurements with ethno-environmental perspectives, creating space for authentic dialogue. This methodology enables collaborative problem identification and solution co-creation grounded in shared visions and mutual trust. Thematic analysis using NVivo software ensures rigorous qualitative data interpretation.

How to cite: Mukamuri, B.: Experimenting with Multidisciplinary, Participatory Diagnosis and Community Engagement to Rehabilitate Endangered Watersheds in African Urban Settings: The Case of Lake Chivero in Zimbabwe, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23141, https://doi.org/10.5194/egusphere-egu26-23141, 2026.

The multiple roles of Kilombero Valley-Rufiji Delta as a watershed, national hub for food production and a critical landscape for biodiversity protection makes it a highly significant national and international site of interraction between different actors who represent international conservation and development partnerships, private and civil society interests, small-holder farmers and agri-business deallers. Over the years, the role of these actors in translating ecologies into financial values has transformed the social biogeophysical relations of the landscape in ways that raise concerns about the future habitability. The Critical Zone project addresses this concern by focusing on how financialization models leave issues of soil health and water quality unaddressed hence compromising the sustainability of their development interventions. Precisely, the crops are managed solely with an eye on commercial values, which miss the care for soil with agrochemicals and fertilizers increasing productivity in the short term but causing long term damage to soils and water bodies. This has downstream impacts to both biodiversity and agricultural floodplains in the Rufiji Delta. Our key question, then, is: How useful is the Critical Zone approach for improving land-use decisions for Kilombero-Rufiji landscape, in the context of Tanzania’s Green Revolution? We combine spatial and temporal biophysical analysis with bottom-up approaches that draw from people science and policy actor engagements to reflect on the future habitability of the landscape.

How to cite: Pallangyo, C.: The Changing Social and Biophysical Relations in Tanzania’s Kilombero– Rufiji Landscape, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23144, https://doi.org/10.5194/egusphere-egu26-23144, 2026.

Cape Town, the legislative capital of South Africa, is renowned for is natural beauty and is ranked as one of the best developed and well governed cities in Africa. However, for whom is the city aesthetically pleasing, developed and well-governed for? When the language of development, growth and progress permeates all spheres of contemporary Cape Town city planning, what does this obscure? What are the lived experiences on the ground? The project takes the Cape Flats, an expansive low-lying area situated to the south-east of Cape Town’s central business district, as a critical zone, where urban metabolic flows shape policy and habitability. The Cape Flats, characterized by a geography defined by a unique combination of maritime geology, endangered biodiversity, wetlands, lakes and rivers, agricultural and mining land, formal and informal residential areas, industrial areas, a waste dump and several wastewater treatment works (WWTW), is marked by “slow violence”, where apartheid spatial planning and environmental degradation and contamination meet contemporary urban precarity. Described as “apartheid’s dumping ground”, the Cape Flats was where people of colour were forcibly relocated under the Group Areas Act of 1950, as well as a site where a significant portion of Cape Town’s waste is disposed of. In thinking about the critical zone, it is then important to think about how biologies, ecologies, society, geologies are shaped by this inheritance of colonial and apartheid city planning. The central question for Cape Flats’ Critical Zones project is therefore: How do Cape Town's modes of development address realities in inherited zones of abandonment and contamination in the Cape Flats critical zone? The project explores how changes in the landscape, under the guise of “development” through the different historical periods under the colonial, apartheid and contemporary neoliberal forms of governance, have shaped the poly-crises evident in the area today. Considering the Cape Flats’ critical zone from aquifer to cloud, the project explores how material flows and urban metabolic processes shape habitability, policy and politics in the area. By paying attention to how disrupted urban metabolic processes impact biodiversity, water and contamination, soil, waste cycles, infrastructure, health and governance, the project proposes an amendment to the approaches in environmental governance from one that seeks to command, predict and control, to one that sees urban ecology as urban metabolisms of flows and relations.

How to cite: Solomon, N.: Urban Metabolisms: What makes for Habitability in the Cape Flats Critical Zone, in Cape Town, South Africa, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23148, https://doi.org/10.5194/egusphere-egu26-23148, 2026.

The climate-related risks in South Africa’s Raymond Mhlaba Municipality and similar rural regions include erratic rainfall, recurring droughts, heatwaves, and shifting seasons. These directly threaten agricultural productivity, leading to frequent crop losses and food insecurity. Vulnerability is heightened by reliance on rain-fed small-scale farming, minimal irrigation infrastructure to buffer against climatic shocks, and the use of old farming methods.

The government uses radio, television, newspapers, and flyers to communicate climate change, and universities are trying to produce more extension officers to assist farmers, but the challenge remains unaddressed.  The root causes of this vulnerability are multi-layered: weak data dissemination systems, socio-economic marginalization, land tenure insecurity, infrastructure deficits, and regulatory and governance gaps. Consequently, farmers make key agricultural decisions such as when and what to plant without critical zone science knowledge, leading to frequent crop losses, wasted inputs, and heightened poverty.

As such, having a Climate-Adapt-Farm-Wise-AI (CAFW-AI) which can inform the farmer about the climate change and provide customised suggestions to a farmer to a) use conservation agriculture, drought-tolerant crop varieties, and precision irrigation to enhance productivity and climate resilience b) integrate adaptation and mitigation strategies across the entire food value chain to ensure sustainable food production and reduce greenhouse gas emissions c) employ Sustainable Agricultural Practices (SAPs) such as agroforestry and millet resilience to improve soil health and enhance food security in climate-vulnerable regions, based on their geographical area.

These techniques are crucial for fostering innovation and resilience in agricultural economies, especially in the face of climate change. By integrating these innovations, farmers can enhance productivity, reduce environmental impact, and ensure food security.

The proposed solution to the problem 

The initiative introduces an AI-enabled, open-source mobile platform that delivers localized, real-time agricultural advisories to rural small-scale farmers in climate-vulnerable regions such as the Eastern Cape. Its strategies are threefold:

  • Localized Climate-Smart Decision Support:

By integrating real-time weather data from IoT sensors (local weather stations), information, and Indigenous Knowledge Systems (IKS), the AI model generates tailored recommendations on crop selection, planting times, and resource use. This ensures that decisions are data-driven, context-specific, and actionable for farmers with limited resources.

  • Accessible Communication Channels: The platform disseminates advisories via SMS/USSD in local languages (e.g., isiXhosa), bridging the digital divide for communities with limited or no smartphone access.
  • Feedback-Driven Learning: Farmers contribute local observations (e.g., rainfall, soil moisture, pest outbreaks) into the system. AI processes these inputs alongside satellite and meteorological data, enabling continuous model refinement and ensuring the system evolves with changing conditions.

What sets this initiative apart is the role of real-time weather data from IoT sensors (local weather stations), AI in combining heterogeneous data sources (real-time weather, soil characteristics, and farmer inputs) to generate hyper-local insights that would not be possible through traditional extension methods. Previously, climate advisories were generalized, delayed, and fragmented; now, AI enables predictive analytics and personalized recommendations at scale, even in remote areas.

How to cite: Vambe, W. T.: Climate-Adapt-Farm-Wise-AI (CAFW-AI): Utilizing IoT, AI, and Machine Learning to Enhance Decision-Making and Protect Crops More Effectively Against Climate Change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23177, https://doi.org/10.5194/egusphere-egu26-23177, 2026.

This study examines the hydrological, pedological, ecological, and socioanthropological evidence to unpack the drivers of land transformation in the Central Rift Valley (CRV) of Ethiopia. It identifies a nexus of unsustainable land use, over-extraction of water (leading to dramatic lake-level decline), industrial pollution, soil degradation, and biodiversity loss. These interlinked pressures manifest as acute resource scarcity, compromised water and food safety, heightened socio-economic insecurity, and organized violence as a desperate means to reclaim lost rights, a cascading crisis that is further aggravated by climate change.

A critical driver is state policy that prioritizes export-oriented agribusiness, such as floriculture. These policies grant flower farms preferential access to land and water, leading to the over-extraction and chemical pollution that degrade lakes and soils. While the flower farm investment aims to create jobs and boost the national revenue, it often affects the community through pollution, resource competition and dispossession.  Toxification of water from industry activities, water overextraction by both commercial farms and industry,  clearing of woodlands not only disrupts ecosystems but also dismantles the material basis of indigenous cultural orders, such as the Oromo moral-ecological code Safuu, which once regulated resource use and conflict resolution.

While trends of environmental change in the CRV are well-documented, the usual analytical and governance frameworks remain inadequate. Conventional approaches often treat soil, water, and biodiversity as isolated commodities, overlooking the fundamental biophysical and social processes that sustain these systems. Moreover, these frameworks lack meaningful community engagement. This underscores the necessity for transdisciplinary co-design processes that involve local farmers and indigenous communities to identify the problems and search for suitable repair mechanisms. This study applies a Critical Zone Science (CZS) framework to demonstrate how discrete forms of degradation are causally linked. For instance, soil degradation drives sedimentation and nutrient loading into lakes, exacerbating the shrinkage of lakes and aquatic biodiversity loss. Contaminants from floriculture cause widespread toxification and a human health crisis. Deforestation disrupts microclimates and hydrological cycles, while the erosion of cultural governance creates a vacuum in which resource scarcity fuels protracted violence.

Viable solutions, therefore, depend on integrating local knowledge with scientific. This study advocates for a paradigm shift to process-based, Critical Zone-centered governance, an approach that prioritize community-driven resource management, locally adapted climate responses, and the restoration of both ecological functionality and culturally legitimate conflict-resolution mechanisms to secure a sustainable future for the CRV.

How to cite: Degefa, S.: Navigating the Polycrisis: Flower farms in the Web of Unsustainable Practices Transforming Ethiopia’s Central Rift Valley, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23182, https://doi.org/10.5194/egusphere-egu26-23182, 2026.

A critical zone-based environmentalism understands that local habitability arises primarily in Earth’s material exchanges across bedrock, aquifers, soils, plants, and the lower atmosphere. With support from the Science For Africa Foundation, the Critical Zones Africa (CZA) consortium is working in specific locales of five African countries to understand how societal and policy processes are affecting circulations of water, soil nutrients and contaminants. This paper presents a first comparative assessment of these relations, and explores their implications for landscape governance, social sciences, and landscape repair.

Beginning with forensic accounts of flows and movements of water, soil nutrients and contaminants in landscapes, ie both horizontal and vertical relations, CZA team studies have explored where, how and why harms to habitability have arisen.  If environmental governance sciences are to shift from their current basis in finance, property and objects, to molecular and energy flows and the processes between them, the comparative aspect of the CZA project asks with what concepts and analytics might damaged relations be described, understood, and remediated? 

A first step to building a politics capable of habitability repair, is to recognise how specific patterns of social relations and concepts affect landscape flows, movements, interactions and transformations of matter and materials.

Reflecting comparatively on the research findings emerging from the CZA studies, this paper sets out a critical zone-based social science for local governance.

How to cite: Green, L.: Critical Zone Science, Social Sciences and Local Governance: An overview of the Critical Zones Africa Research Programme, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23229, https://doi.org/10.5194/egusphere-egu26-23229, 2026.

The HSRC’s policy study component of the CZA project is anchored on the wide acknowledgement of the importance of building habitable futures by including bio-geophysical aspects of place in local governance. CZ thinking-informed policy practices are particularly relevant in African contexts, where livelihoods are closely tied to the geophysical ecosystem and climate variability. In these contexts, CZ approaches provide a powerful approach to informing policy innovations that are knowledge-plural and contextualized within lived realities. 

To date, this in-progress study of policy in specific places provides evidence that policy development and implementation activities continue to ignore the complex interaction of  societal practices, institutional arrangements, and biophysical processes. Drawing on foundational CZ literature and an analysis of selected site policies and data from science-policy-societal engagements conducted in Ethiopia and Zimbabwe, the study demonstrates how environmental policy practices continue to be narrowly shaped by fragmented, sector-based governance frameworks and profit-oriented thinking, in which financialised relations, historical legacies, and knowledge hierarchies shape whose voices are included in policy processes.  This narrow framing leads to policy interventions that compromise the biogeophysical ecosystems resulting in problems such as material flows that lead to contamination and loss of wetlands and hydrological cycles (Tanzania’s Rufiji Delta, Zimbabwe’s Lake Chivero and the Cape Flats in South Africa); as well as soil quality degradation and loss (Ethiopia’s Central Rift Valley and Malingunde in Malawi). Over time, these non-inclusive policies create a feedback loop in which degraded ecosystems  have limited adaptive capacity and future livelihoods and habilitability are  compromised.  What this study shows is that land use land cover change is not simply due to ‘humans’, as so much of the LULC literature suggests, but that specific macroeconomic policies and approaches to local governance, which pay little attention to biogeophysical relations with society, have a significant responsibility – and therefore also the potential to make a difference.

The presentation argues for policy process innovations that transcend discipline boundaries between society, economy and biogepphysical relations, integrating different knowledge systems and adopt adaptive approaches capable of responding to uncertainty and long-term change. Where co-creative and  collaborative policy development  and implementation practices bring together scientists, policymakers, and communities as co-producers of knowledge, there is  potential for improved governance that builds habitable futures. By foregrounding knowledge plurality in policy as a tool, this presentation contributes to the session’s focus on international innovation and collaboration, and demonstrates how critical zone science can meaningfully inform local governance and policy across varied regional contexts.

How to cite: Sobane, K.: Innovating Environmental Governance through Critical Zone Thinking: Lessons from the Global South, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23241, https://doi.org/10.5194/egusphere-egu26-23241, 2026.

EGU26-165 | ECS | Orals | BG4.5

Ambition Disparity Reveals Unlocked Mitigation Potential for Blue Carbon in the Paris Agreement  

Radhika Bhargava, Anabel Kadri, Maria Fernanda Adame, Natasha Bhatia, Peter Ian Macreadie, Michiel van Breugel, Sai Qu, Jacob Bukoski, Stacy Baez, Miguel Cifuentes-Jara, Hao Tang, and Daniel A Friess

The Paris Agreement aims to keep the global temperature rise under 2°C, which is implemented through National Greenhouse Gas Inventory Reports (NIRs) and Nationally Determined Contributions (NDCs). Blue carbon ecosystems, despite substantive climate change mitigation potential, remain underutilised in the Paris Agreement. We analysed over 1700 NDCs and NIRs submitted since 2015 to identify inclusion and quantify mitigation gaps in the utilisation of blue carbon ecosystems (mangroves, seagrasses, tidal marshes, and tidal flats) in the context of the Paris Agreement. 33% of the blue carbon-holding countries have incorporated them into NIRs, and 19% have set quantifiable NDC targets, with Non-Annex I Parties making much of this contribution. Only 13.4 Gt CO₂ eq of blue-carbon mitigation is currently pledged, yet Non-Annex I Parties hold nearly twice the untapped potential (68.7 Gt CO₂ eq) compared to Annex I Parties (35.5 Gt CO₂ eq), highlighting both the opportunity and the imbalance. Full protection and restoration of blue-carbon ecosystems could sequester 122.3 Gt CO₂ eq by 2050—roughly 2.5 years of global emissions from all sectors. Closing this gap would elevate blue carbon from a marginal opportunity to a core component of global mitigation, while enhancing the resilience and improving the livelihoods of coastal communities. 

How to cite: Bhargava, R., Kadri, A., Adame, M. F., Bhatia, N., Macreadie, P. I., van Breugel, M., Qu, S., Bukoski, J., Baez, S., Cifuentes-Jara, M., Tang, H., and Friess, D. A.: Ambition Disparity Reveals Unlocked Mitigation Potential for Blue Carbon in the Paris Agreement , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-165, https://doi.org/10.5194/egusphere-egu26-165, 2026.

EGU26-344 | ECS | Posters on site | BG4.5

Filamentous epiphyte diversity and abundance on the leaves of Oceana serrulata in Kayankerni Marine Sanctuary of Sri Lanka 

Charuka Sandaruwan, Hiranya Kelum Wijenayake, Sevvandi Jayakody, Sujeewa De Silva, Mike Van Keulen, and Susantha Udagedara

email-charukasadanruwan@gmail.com

Abstract

Seagrass leaves provide microhabitat for epiphytic organisms but knowledge on epiphytic fauna and associated bionts in seagrass are limited. In addition, seasonal changes in population structure of epiphytic communities have not been studied widely under Sri Lankan context. This abstract presents the diversity and abundance of filamentous epiphytic algal communities on the leaves of Oceana serrulata in Kayankerni Marine Sanctuary in Eastern coast of Sri Lanka. Leaves of Oceana serrulata were collected once a month from August 2024 to January 2025 and preserved with 5% formaldehyde. Leaves were measured and divided into three similar sections and labelled as tip, middle, basal parts. Ten randomly selected leaves per month were subjected to identify the filamentous epiphytes and their abundance. Epiphyte species were identified up to genus level using guide, key and published literature. Percentage epiphytic cover of each section of leaves was estimated using the microscopic field as the sample unit under 10*10 magnification. Shanon-Wiener diversity index, Pielou’s evenness index and Dominance index for each month calculated. Arcsine converted data of epiphytic cover on entire leaf-blades among different months were compared using ANOVA to identify the temporal variations. In addition, the percentage epiphytic cover of each species among sampling occasions were compared using ANOVA. Six genera of filamentous epiphytes were reported from leaf blades and were Ulva, Gayliella, Hydrolithon, Myrionema, Herposiphonia and Calaconema. Genus Ulva reported three (03) distinct species while others reporting single species each accounting the species richness of filamentous algae up to eight (08). Percentage epiphytic cover on the leaf blades was ranged from 11.25% to 1.18% reporting the highest epiphytic cover in August and lowest in January. Contribution of different genera to total epiphytic cover was reported as follows: Ulva spp. (27.87%), Gayliella sp. (26.63%), Hydrolithon sp. (22.04%), Myrionema sp. (12.03%), Herposiphonia sp. (11.04%), and Calaconema sp. (0.38%). The abundance of Gayliella sp., Herposiphonia sp., Ulva sp.1, and Ulva sp.2 have been reducing gradually from August to January, while Myrionema sp. and Ulva sp.3 were reported throughout the sampling period in low abundance. Calaconema sp.was reported varying levels in low abundance during the sampling period. Abundance of Gayliella sp. and Herposiphonia sp. was significantly higher (p<0.05) in November compared to other months. Ulva sp.1 was significantly higher in September and November (p<0.05) than other months. Hydrolithon sp. was significantly higher (p<0.05) in  November than other months. Abundance of Ulva sp.2, Calaconema sp., Myrionema sp., and Ulva sp.3 have no significant differences (p<0.05) among the months. Shanon-Wiener diversity index has been gradually reduced from August (1.66) to January (0.48). Shanon-Wiener diversity index change in different parts with following pattern tip<middle<base in each month respectively. Pielou’s evenness index was reported 0.80,0.81,0.69,0.77,0.91 from August to December and significant reduction in January (0.35). The dominance index was highest in January (0.76) and ranged from 0.23 to 0.32 from August to November respectively. These results indicate the changes of epiphytic diversity on Oceana serrulata during the Sampling period and their abundances.

Keywords: Seagrass, Filamentous marine algae, Diversity indices, Temporal changes in marine epiphytes

How to cite: Sandaruwan, C., Kelum Wijenayake, H., Jayakody, S., De Silva, S., Van Keulen, M., and Udagedara, S.: Filamentous epiphyte diversity and abundance on the leaves of Oceana serrulata in Kayankerni Marine Sanctuary of Sri Lanka, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-344, https://doi.org/10.5194/egusphere-egu26-344, 2026.

EGU26-1285 | ECS | Posters on site | BG4.5

Temperature Modulates Recalcitrant Dissolved Organic Carbon Production by Coastal Macrophytes: An Underestimated Blue Carbon Pathway 

Alba Yamuza Magdaleno, Tomás Azcárate-García, Luis G. Egea, Xosé Antón Álvarez-Salgado, Hauke Reuter, Fernando G. Brun, and Pedro Beca-Carretero

Marine macrophytes play a significant role in the marine carbon cycle by releasing dissolved organic carbon (DOC), including a recalcitrant fraction with potential for long-term carbon sequestration. Here, we investigated how warming and the presence of an invasive species affect DOC dynamics in different native temperate macrophyte communities (Zostera noltei, Cymodocea nodosa and Caulerpa prolifera) from the south of the Iberian Peninsula, a transitional habitat between Atlantic and Mediterranean marine regimes. Additionally, we introduced a standardized framework to link DOC release to internal carbon content, facilitating comparisons of blue carbon pathways among macrophyte communities across diverse ecosystems. Controlled mesocosm experiments across three temperatures (24, 26 and 28 °C) revealed that the presence of the invasive seagrass Halophila stipulacea did not significantly alter the carbon metabolism or DOC fluxes of native macrophytes. However, temperature significantly affected both the quantity and composition of the released DOC. In particular, recalcitrant DOC decreased by 28%, while labile DOC increased by a similar proportion as temperature rose, and bioavailable DOC decay rates also declined significantly at higher incubation temperatures of the tested macrophytes. These results suggest that warming may enhance both net and labile DOC production, while the remaining DOC is less bioavailable than that produced at lower temperatures. This clearly indicates that warming restructures DOC composition, potentially reducing coastal carbon storage capacity and the role of recalcitrant DOC. By applying our proposed standardization, we estimate that the recalcitrant fraction produced in the tested macrophyte communities was comparable in magnitude, although 1.41 higher, to the carbon burial rates in the sediment measured in the same communities, which underscores the potential contribution of recalcitrant DOC produced by macrophyte communities to the long-term carbon storage. This standardized approach positions recalcitrant DOC as a crucial climate-sensitive blue carbon pathway that should be integrated into global carbon budget estimates. 

How to cite: Yamuza Magdaleno, A., Azcárate-García, T., Egea, L. G., Álvarez-Salgado, X. A., Reuter, H., Brun, F. G., and Beca-Carretero, P.: Temperature Modulates Recalcitrant Dissolved Organic Carbon Production by Coastal Macrophytes: An Underestimated Blue Carbon Pathway, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1285, https://doi.org/10.5194/egusphere-egu26-1285, 2026.

EGU26-1734 | ECS | Posters on site | BG4.5

Rainfall deficit reduces biodiversity and destabilizes a non-tidal coastal wetland 

Xueke Wang, Liming Yan, Ming Jiang, Zhenyu Wang, Baoyu Sun, Huizhu Li, Jiamin Shi, Wei Liu, Guangxuan Han, and Jianyang Xia

Rainfall deficits are reshaping plant communities worldwide, yet their impacts on non-tidal coastal wetlands remain unclear. In non-tidal systems, rainfall is essential for flushing soil salts and sustaining biodiversity. Here, we tested the hypothesis that rainfall deficit undermines ecosystem stability by eroding biodiversity in such systems. We conducted a seven-year experiment in the Yellow River Delta, simulating summer-autumn rainfall loss under both ambient and elevated winter-spring temperatures. Rainfall loss increased soil salinity (+43.3% under ambient; +25.2% under warming), promoted stress-tolerant species dominance (+36.9%; +8.76%), and reduced species richness (-26.6%; -14.7%). These shifts led to a consistent decline in community stability. Analytical partitioning demonstrated that this destabilization was primarily driven by biodiversity loss rather than by dominance or compensatory effects. Structural equation modeling further confirmed the rainfall-biodiversity-stability pathway. Our findings show that rainfall deficit destabilizes non-tidal coastal wetlands by weakening biodiversity-based buffering, revealing an overlooked vulnerability to intensifying climate extremes.

How to cite: Wang, X., Yan, L., Jiang, M., Wang, Z., Sun, B., Li, H., Shi, J., Liu, W., Han, G., and Xia, J.: Rainfall deficit reduces biodiversity and destabilizes a non-tidal coastal wetland, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1734, https://doi.org/10.5194/egusphere-egu26-1734, 2026.

The mangrove wetlands are recognized as very important in the process of carbon sequestration, but the fluctuation in salinity, the development of the aquaculture, and deforestation pose a threat to the ecological balance and the welfare of the local society. Our long term study at the Indian Sundarbans on restoration model of mangrove ecosystems revealed interconnectivity of community participation and multispecies mangrove restoration on blue carbon pool. In this study, five mangrove species (Avicennia marina, Bruguiera sexangula, Ceriops tagal, Rhizophora mucronata and Xylocarpus moluccensis) were investigated in a degraded mudflats area of 102 hectares located on Satjelia Island on how they can be restored. The analysis of geochemical indicators of soil, including organic carbon (SOC) and organic carbon density (OCD), humic and fulvic acids, and the evaluation of community participation contribute to creating a comprehensive picture of what the ecosystem recovery process is all about.

It can be seen that introduction of Avicennia marina as a propagule, using a dibbling technique has been a notably successful one, as there is low cost per survivor and a notable growth rate in OCD of more than 90 per cent over a five-year time. An analysis of chronosequence suggests that the mangrove plantations have significantly increased the sequestration of carbon in the uppermost soils layers which provides a stark difference to the insignificant increases in the natural Proteresia coarctata mudflats. Local communities involvement through forest committees has also played a big role in the survival of saplings, reduction of grazing pressures as well as the overall success of the restoration efforts. Study indicates a better blue carbon pool and survival rate of species (R. mucronata, S. caseolaris and A. marina) for community managed restoration site. This research highlights the need to integrate the ecological and community level interventions by means of a multisided approach for an effective mangrove restoration. The findings show that the recovery of the mangrove ecosystems can result in desirable modifications on the soil geochemistry, as indicates by geochemical carbon indicators such as humic acid, fulvic acid and blue carbon pool, which can contribute to the increase of the coastal resilience. Furthermore, the combination of these activities with participatory governance models is a scalable and powerful approach to a contribution to the global climate change mitigation agenda including REDD+ and SDG14 targets. The example of the Indian Sundarbans is the way in which mangrove can be restored as a two-fold solution to serve dual objectives, both environmental and community development, and be a precursor to community-based climate action projects.

How to cite: Chowdhury, A., Naz, A., and Bhattacharyya, S.: Geochemistry Meets Community: Multispecies Mangrove Restoration Driving Blue Carbon Sequestration in the Indian Sundarbans, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1867, https://doi.org/10.5194/egusphere-egu26-1867, 2026.

EGU26-2336 | ECS | Orals | BG4.5

Accounting for winter: freeze-thaw controls on salt marsh-creek water and carbon exchange 

Julia Guimond, Elisabeth Boles, Talia Cartafalsa, Meagan Eagle, and Joseph Tamborski

Salt marshes are among the most carbon-dense ecosystems on Earth, yet their net climate benefit depends on carbon exchanges across the atmosphere-soil-water continuum, including lateral export to adjacent coastal waters. Most mechanistic understanding of lateral exchanges is derived from warm-season observations, leaving uncertainties about how cold-season conditions regulate soil-water connectivity and associated solute and carbon transport. We address this gap using year-round, high-frequency measurements of soil temperature, groundwater and surface-water elevations, and tidal creek discharge across multiple New England salt marshes (Gouldsboro, northern Maine; Wells, southern Maine; and Chatham, Cape Cod, Massachusetts). Soil temperatures decreased with latitude, and sustained freezing occurred at both Maine sites from December through mid-March. Within marshes, freezing was strongly elevation-dependent: creek beds remained unfrozen due to persistent exposure to relatively warm, saline seawater, whereas higher-elevation platforms that were inundated less frequently froze to depths of 25-30 cm. Despite frozen ground, we observed minimal seasonal changes in water-table fluctuations. However, reduced hydraulic conductivity during winter suggests diminished but ongoing water and solute exchange between marsh sediments and tidal creeks. Together, these observations indicate that cold-season freeze-thaw alters marsh-creek exchange but does not eliminate lateral water and solute export to tidal channels. Incorporating cold-season controls on marsh-creek exchange and lateral export into marsh carbon assessments is essential for closing year-round carbon budgets and evaluating blue carbon under changing winter conditions and inundation regimes.

How to cite: Guimond, J., Boles, E., Cartafalsa, T., Eagle, M., and Tamborski, J.: Accounting for winter: freeze-thaw controls on salt marsh-creek water and carbon exchange, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2336, https://doi.org/10.5194/egusphere-egu26-2336, 2026.

EGU26-3244 | Orals | BG4.5

Blue carbon dynamics following widespread seagrass loss across tropical coastal sediments in Thailand 

Milica Stankovic, Lutfee Hayeewachi, Muhammad Halim, and Anchana Prathep

Seagrass ecosystems are major sinks of sedimentary organic carbon (Corg), but the temporal changes of the Corg following the seagrass loss remains limited, particularly across different gradients of disturbance severity. In this study, the temporal changes of the sedimentary Corg across nine intertidal seagrass meadows along Andaman coast and Gulf of Thailand were estimated, by combining historical data sets (2015-2021) with the field re-sapling in 2025 following the same protocols. Sediment properties and Corg stocks were analyzed for the surface sediments (0-20 cm) and whole sediment cores using mixed effect models.

Sites that were affected by the long-term or complete seagrass loss had substantial decline in sedimentary Corg stocks, with annual losses up to 17 Mg C ha⁻¹ yr⁻¹ and associated potential CO2 emissions over 60 Mg CO₂ ha⁻¹ yr⁻¹. These Corg losses are accompanied by decreases in dry bulk density and Corg content, indicating sediment softening and destabilization and reduced organic inputs. On the other hand, sites with partial loss and intact seagrass meadows showed different trajectories: some meadows retained long term Corg stocks with some surface losses, while others exhibited net declines in both surface and long term Corg stocks despite low changes of Corg content. This indicates that Corg enrichment does not ensure long-term carbon retention where physical sediment reorganization and lateral redistribution dominate.

Our results demonstrate that seagrass loss severity and sediment physical dynamics jointly regulate sedimentary carbon stability and CO₂ release. Distinguishing between surface reworking and whole-core carbon loss is therefore essential for accurately assessing blue carbon vulnerability and for integrating seagrass degradation into coastal carbon budgets, greenhouse-gas inventories, and climate mitigation strategies.

How to cite: Stankovic, M., Hayeewachi, L., Halim, M., and Prathep, A.: Blue carbon dynamics following widespread seagrass loss across tropical coastal sediments in Thailand, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3244, https://doi.org/10.5194/egusphere-egu26-3244, 2026.

EGU26-5773 | ECS | Orals | BG4.5

Sources, Sinks and Subsidies of Organic Carbon in Saltmarsh Habitats  

Alex Houston, Mark H Garnett, and William E N Austin

Saltmarshes accumulate and store organic carbon through the drawdown of atmospheric CO2 by photosynthesising vegetation (autochthonous carbon), and the deposition of externally derived carbon (allochthonous) during tidal inundation. These organic carbon sources can be different ages and remain stored in the soil for variable lengths of time, from minutes to millennia. International policy frameworks recognise that the management of saltmarshes can provide a climate mitigation service, yet uncertainties remain regarding the inclusion of allochthonous organic carbon in saltmarsh projects.

We employed a novel methodology to compare the radiocarbon (14C) contents of saltmarsh soils and CO2 evolved from aerobic laboratory incubations to show that young (14C-enriched) organic carbon is preferentially respired over old (14C-depleted) organic carbon. The 14C contents of the respired CO2 were compared to the 14C content of carbon pools defined by their thermal reactivity, measured by ramped oxidation. In most cases, the 14C content of the most thermally labile carbon pool was closest to the 14C content of the CO2 evolved from aerobic incubations of the same soils, suggesting the thermal and biological lability of saltmarsh soil carbon in oxic conditions is closely related. These results highlight the role of saltmarshes as stores of both old, thermally recalcitrant organic carbon, as well as younger, thermally labile organic carbon. Management interventions, such as restoration, may help mitigate CO2 emissions by limiting oxygen exposure and preserving these stores of thermally labile carbon.

We also highlight inconsistencies in the treatment of allochthonous carbon across blue carbon (saltmarsh, seagrass and mangrove) accounting methodologies. A review of these frameworks and their scientific basis reveals a lack of standardized, evidence-based approaches for determining the proportion of allochthonous carbon that should be discounted in additionality calculations. This research provides crucial evidence towards addressing these gaps and improving the robustness of blue carbon policy and accounting.

How to cite: Houston, A., Garnett, M. H., and Austin, W. E. N.: Sources, Sinks and Subsidies of Organic Carbon in Saltmarsh Habitats , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5773, https://doi.org/10.5194/egusphere-egu26-5773, 2026.

Mangroves are increasingly positioned at the centre of “blue carbon” strategies, yet carbon-centric planning can obscure the broader ecosystem service (ES) bundle that underpins coastal resilience, biodiversity outcomes, and social legitimacy. We synthesize how multiple mangrove ES are studied alongside carbon sequestration and discuss implications for regions that may become suitable for mangroves under climate change, with a brief connection to ongoing coastal forest research on Jeju Island, Republic of Korea.
We searched Web of Science using “mangrove*”, “blue carbon”, and “carbon”, screened 813 records, and analysed 423 site-based studies. Each study was coded by country, research approach (experiment, observation, modelling, remote sensing, secondary synthesis, survey/interview, and policy analysis), and ES classes using the Common International Classification of Ecosystem Services (CICES v4.3). Research effort was geographically uneven across 59 countries (plus global multi-region studies), and study effort increased with national mangrove extent (Spearman ρ = 0.53, p < 0.0001), indicating that evidence is concentrated where mangroves already dominate coastal landscapes.
Multi-service integration was limited: only ~22% of studies investigated more than one ES, restricting insight into synergies and trade-offs required for robust management and safeguards. Regulating services dominated the co-assessments with carbon sequestration, most commonly nutrient cycling, soil formation, and coastal protection. Provisioning services (e.g., fishing and biomass) and cultural services (e.g., recreation) were studied less frequently. Critically, stakeholder engagement remained minimal, only ~5% of studies incorporated perspectives from local communities, policymakers, or other relevant groups, highlighting a gap between biophysical evidence and decision pathways that govern implementation, equity, and long-term maintenance.
These evidence gaps are increasingly consequential under climate-driven poleward expansion. Jeju Island is a subtropical - temperate transition zone where true mangroves are not yet established, but semi-mangrove species (e.g., *Hibiscus hamabo* and *Paliurus ramosissimus*) occur within coastal shrub, forest mosaics and provide regulating and habitat functions comparable to widely cited mangrove co-benefits. Current monitoring by the National Institute of Forest Science is structuring protocols that jointly quantify vegetation structure and composition, plant physiological performance, and carbon pools (aboveground biomass and soil carbon), while also documenting co-benefits relevant to coastal hazard buffering and biodiversity conservation.
We conclude that mangrove planning, especially in future-suitable regions, should shift from single-metric carbon optimisation to a multifunctional ES framework supported by harmonised monitoring and early stakeholder integration to anticipate trade-offs and maximise durable climate, biodiversity, and livelihood outcomes.
This research was conducted at the Warm-Temperate and Subtropical Forest Research Center, National Institute of Forest Science (Project No. FE-2022-04-2025).

How to cite: Lee, B., Lee, H., Kim, H., and Park, E.: Integrating Multiple Ecosystem Services into Mangrove Management: Evidence Synthesis and Insights from Emerging Habitats in Jeju Island (Korea), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6286, https://doi.org/10.5194/egusphere-egu26-6286, 2026.

EGU26-8199 | ECS | Posters on site | BG4.5

Mangrove Degradation in a Megacity: Linking Tree-Ring δ¹⁵N with Local Ecological Perceptions in Mumbai 

Karin Uruma, Nobuhito Ohte, and Shilpi Srivastava

Mangrove forests provide critical ecosystem services, including carbon sequestration, coastal protection, and support for local livelihoods. Although global conservation efforts have slowed the rate of mangrove area loss, degradation remains a persistent challenge, particularly in rapidly urbanizing coastal regions.

In megacities such as Mumbai, India, mangrove conservation policies are in place. However, intense urban development, population growth, and pollution pressures continue to undermine ecosystem functioning. Nutrient influx from urban sewage has caused pronounced eutrophication, potentially constraining mangrove productivity and carbon storage capacity. At the same time, conservation policies have often been implemented with limited participatory engagement, restricting traditional access to mangrove resources by the indigenous fishing community known as the Kolis. As a result, the perceptions and knowledge of the Koli community remain weakly integrated into mangrove conservation in Mumbai.

This study aims to elucidate the temporal progression of mangrove degradation accompanying Mumbai’s urbanization and to examine how the life experiences and environmental perceptions of the Kolis have transformed over this period. We adopted an interdisciplinary approach integrating ecological and social data. Ecological assessments included water quality measurements and nitrogen stable isotope (δ¹⁵N) analysis of tree rings of Avicennia marina, used as a time-integrated indicator of anthropogenic nitrogen. These data were complemented by semi-structured and group interviews with the Kolis, focusing on changes in mangrove use, livelihoods, and environmental conditions.

The results show elevated δ¹⁵N values recorded in the tree rings of mangroves growing in close proximity to sewage sources, indicating sustained anthropogenic nitrogen inputs over time. Meanwhile, the Koli communities demonstrated a clear awareness of environmental changes in mangrove forests and reported that fisheries commercialization, urbanization, and environmental policies have substantially altered their relationships with mangrove ecosystems. Importantly, local perceptions of environmental change were found to be largely consistent with the ecological evidence. These results underscore that the local communities, such as the Kolis, play a frontline role in perceiving environmental change, and that their knowledge is essential for effective mangrove conservation in urban coastal areas.

This study demonstrates that mangrove degradation in urban coastal areas is reflected in both ecological indicators and local environmental perceptions, highlighting the importance of integrating local knowledge into mangrove degradation assessment and conservation strategies.

How to cite: Uruma, K., Ohte, N., and Srivastava, S.: Mangrove Degradation in a Megacity: Linking Tree-Ring δ¹⁵N with Local Ecological Perceptions in Mumbai, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8199, https://doi.org/10.5194/egusphere-egu26-8199, 2026.

EGU26-8226 | Posters on site | BG4.5

Pan-European Assessment of Saltmarsh Soil Organic Matter Reactivity 

William Austin and Alexander Houston

Saltmarshes trap and store organic matter from different sources with different soil turnover times. Constraining drivers of variability in soil organic matter turnover are crucial for quantifying the potential climate mitigation achieved through targeted management interventions on saltmarsh habitats (e.g., restoration). Better constraining saltmarsh soil organic matter turnover on a continental scale would improve the scientific evidence base for the integration of these important carbon stores into policy frameworks and guide priority actions and decision making.

We undertook thermogravimetric analysis of newly collected and archived samples to measure the thermal reactivity of saltmarsh soil organic matter across Europe. Here, we present the first estimate of saltmarsh soil organic matter reactivity on a pan-European scale. We present preliminary evidence to suggest that saltmarsh soils which have larger stores of thermally labile organic matter generate higher greenhouse gas fluxes under exposure to aerobic conditions. We propose that measuring the thermal lability of soil organic matter could be useful when targeting management actions on saltmarsh habitats to achieve emissions reductions.

If you would be interested in contributing samples (these can be cold-stored or dried archival material, or potentially new collections) and being part of a collaborative effort to understand the reactivity of the organic matter stored in pan-European saltmarshes, please visit this poster.

How to cite: Austin, W. and Houston, A.: Pan-European Assessment of Saltmarsh Soil Organic Matter Reactivity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8226, https://doi.org/10.5194/egusphere-egu26-8226, 2026.

EGU26-8684 | ECS | Posters on site | BG4.5

High-Density Sampling Reveals Seasonal Spatiotemporal Variations in Partial Pressure of Carbon Dioxide in a Tropical Lagoon 

Fei-Ling Yuan, Wei-Jen Huang, Veran Weerathunga, Kai-Jung Kao, Chai-Yu Lai, Chun-Yuan Wang, Ting-Hsuan Lin, James T. Liu, Jain-Jhih Chen, and Wen-Chen Chou

Lagoons are recognized as net sources of carbon dioxide (CO2) to the atmosphere, with pronounced spatial and diurnal variability in partial pressure of CO2 (pCO2) and air–water CO2 fluxes. Furthermore, these spatiotemporal variabilities are affected by seasonal weather changes associated with the terrestrial inputs from nearby human activities on land. Such dynamic pCO2 variations rely on a high-density sampling strategy, with five to six lab-made CO2 buoys deployed for over 24 hours across Chiku Lagoon, Tainan, Taiwan, measuring water temperature, salinity, and pCO2 every minute. Four field campaigns were conducted during January 2022, April 2023, August 2020, and September 2021 to investigate the seasonal variability. This high-density sampling strategy has revealed pronounced pCO2 changes among four campaigns, with the highest average pCO2 value in August 2020 (1931±980 μatm) and the lowest average value in April 2023 (732±228 μatm). Across all sampling periods, the lagoon acted as a net source of atmospheric CO2 (1.3±1.4 mmol m–2 h–1), with the strongest average emission in August 2020 (1.9±3.2 mmol m–2 h–1), which was twice higher than the average emission in April 2023 (0.9±1.2 mmol m–2 h–1). Through analyzing pCO2 deviations from a two end-member mixing model, shifting between biological activity (photosynthesis and respiration) and tidal-induced mixing processes were revealed across seasons. In August 2020, biological activity was the dominant factor on pCO2 changes, while the mixing effect and biological activity both controlled pCO2 changes in January 2022 and April 2023. Additionally, Chiku Lagoon was found to act as a CO2 source while functioning as a net autotrophic system in August 2020. These findings underscore the necessity of high-density sampling to resolve rapid and dynamic carbon cycling in tropical lagoons across diurnal, spatial, and seasonal scales, thereby providing a foundation for regional environmental management and offering strategies to assess the carbon footprint and enhance carbon neutrality in local industries.

How to cite: Yuan, F.-L., Huang, W.-J., Weerathunga, V., Kao, K.-J., Lai, C.-Y., Wang, C.-Y., Lin, T.-H., Liu, J. T., Chen, J.-J., and Chou, W.-C.: High-Density Sampling Reveals Seasonal Spatiotemporal Variations in Partial Pressure of Carbon Dioxide in a Tropical Lagoon, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8684, https://doi.org/10.5194/egusphere-egu26-8684, 2026.

EGU26-9677 | ECS | Posters on site | BG4.5

Root exudate analogues increase soil CO2 emission, iron concentration, and acidity in mangroves 

Marie Arnaud, Catherine E. Lovelock, Aurelia Mouret, Dang Thuong Huyen, Sarah Louise Robin, Samuel Abiven, Amrit Kumar Mishra, Syed Hilal Farooq, Tuhin Bhadra, Axel Felbacq, Cyril Marchand, Nicolas Bottinelli, Ahmad AlAldrie Amir, Johanna Pihlblad, Sami Ullah, and Cornelia Rumpel

Mangroves are carbon dense ecosystems. Their root exudates could remobilise buried soil organic matter in the form of CO2 emission, notably by stimulating organic matter decay indirectly via an exudate sugar-driven and microbially mediated pathway, or directly by the breakage of organo-mineral bonds. Here, we used a manipulative laboratory incubation to test the effect of root exudate type on CO2 emission in two contrasting mangrove soils: a peat soil with mostly particulate organic matter (Dumbea, New Caledonia, France) and a mineral soil dominated by organo-mineral associations (Can Gio, Vietnam). Using a custom-made 20 cm long needle with a side-port near the tip,we spiked two exudates types, oxalic acid and glucose, into the mineral and organic mangrove soils. The soil CO2 emission was quantified with a gas analyser over time. Iron and pH were mapped at high spatial resolution using two-dimensional Diffusive Equilibrium Thin-films (2D-DET) gels. The root exudate inputs significantly increased the CO2 emission in both mangroves (by an order of magnitude; p< 0.01). The organic rich and mineral mangrove soil CO2 emission responded similarly to both root exudate types. There was no difference in soil CO2 emission between glucose and oxalic acid treatment. Oxalic acid reduced the soil pH consistently across the vertical soil profile in the mineral mangrove soil, while in the peat soil there was a sharp pH decrease in the few top millimetres of soil. For both soil types, the iron concentration was multiplied by an order of magnitude under oxalic acid treatment with a peak in the soil surface, and was slightly increased under glucose treatment. Our results reveal that root exudation could be a major driver of carbon, pH, and iron dynamics in mangrove soils. These findings highlight the importance of understanding root-soil interaction to constrain mangrove carbon budgets.

How to cite: Arnaud, M., Lovelock, C. E., Mouret, A., Huyen, D. T., Robin, S. L., Abiven, S., Kumar Mishra, A., Hilal Farooq, S., Bhadra, T., Felbacq, A., Marchand, C., Bottinelli, N., AlAldrie Amir, A., Pihlblad, J., Ullah, S., and Rumpel, C.: Root exudate analogues increase soil CO2 emission, iron concentration, and acidity in mangroves, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9677, https://doi.org/10.5194/egusphere-egu26-9677, 2026.

EGU26-10584 | Posters on site | BG4.5

Monitoring Mangrove Loss from Pond Aquaculture Expansion in Asia Using Satellite Earth Observation 

Marco Ottinger, Luis David Almeida Famada, Juliane Huth, and Felix Bachofer

Mangrove ecosystems are among the most productive and valuable environments on Earth, delivering essential ecological and socio-economic benefits including carbon sequestration, coastal protection, and habitat provision for diverse marine species. However, mangroves face increasing pressures from human activities, with rapid expansion of pond aquaculture emerging as a main driver of mangrove deforestation, especially in Asia, which hosts nearly 40% of the world’s mangroves.

This study presents a comprehensive continental-scale assessment of mangrove loss attributable to aquaculture pond expansion across Asia’s coastal zones, with a focus on Southeast Asia, where mangrove conversion is most severe. Utilizing satellite-based Earth observation data, including an object-based, single-feature inventory of aquaculture pond dynamics derived from Sentinel-1/-2 optical and radar time series and Landsat archive imagery, alongside the Global Mangrove Watch (GMW) dataset, we quantified spatial and temporal relationships between pond presence and mangrove forest decline.

By integrating these datasets within a harmonized time-indexing framework, we directly associate pond activation events with subsequent mangrove decline to attribute deforestation to aquaculture expansion. Our results reveal strong spatial-temporal correlations: aquaculture ponds predominantly cluster in coastal river deltas, overlapping with mangrove loss hotspots, while pond activation frequently coinciding with or directly following significant mangrove loss. Across Asia, mangrove cover declined by approximately 7.2 percent (2,284 km²) in Indonesia and up to 22.2 percent in Pakistan over the study period from 1996-2019. Key hotspots of aquaculture-driven mangrove degradation were identified primarily in Indonesia, Myanmar, and Vietnam, with Indonesia alone accounting for over 13,000 hectares of mangrove loss between 1996 and 2007 due to pond expansion.

Overall, this study underscores the substantial environmental footprint of pond aquaculture on Asia’s coastal ecosystems, demonstrating that aquaculture expansion is a principal driver of mangrove loss in critical regions. By leveraging advanced satellite Earth observation technologies, this research demonstrates the potential of remote sensing data to accurately quantify and monitor mangrove loss at large scales, providing timely, spatially detailed insights into ecosystem changes. Such capabilities are essential for deepening our understanding of the increasing pressures blue carbon ecosystems face from anthropogenic and climatic changes.

How to cite: Ottinger, M., Almeida Famada, L. D., Huth, J., and Bachofer, F.: Monitoring Mangrove Loss from Pond Aquaculture Expansion in Asia Using Satellite Earth Observation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10584, https://doi.org/10.5194/egusphere-egu26-10584, 2026.

EGU26-10656 | ECS | Orals | BG4.5

How the Current Blue Carbon Project Standards hinder Mangrove Conservation and Restoration 

Guilherme Abuchahla, Muhammad Nasution, Haditya Pradana, Fajar Ramadhana, and Daniel Saavedra-Hortua

The Voluntary Carbon Market (VCM) relies on a handful of validated standards, each one counting with a suite of methodologies, tools, and templates. In the past few years, Blue Carbon Ecosystems (BCEs), most prominently mangrove ecosystems, have gained a lot of attention due to their remarkable capacity to store much higher amounts of carbon than terrestrial forests. Nevertheless, mangroves may offer more complexities to conservation and restoration that range from sea-level rise to human-induced encroachment. Carbon standards have much improved their thoroughness so the attend to those complexities, especially regarding the contribution of and impact on communities and the hydrological and sedimentological requirements for a healthy ecosystem. The higher level of demands for a responsibly established project usually represents higher initial costs, e.g., feasibility study (FS) and project development document (PDD), and a longer period for revenue from the investor’s perspective. This is perceived as a negative scenario due to the market’s nature of rapid profit and revenue, thus, pushing blue carbon projects to a halt even before implementation. Here, we discuss what are the key-factors representing a conflict of interest between conservation, restoration, and VCM implementors, and make recommendations on how to overcome such dispute to achieve the promotion of BCEs around the globe.

How to cite: Abuchahla, G., Nasution, M., Pradana, H., Ramadhana, F., and Saavedra-Hortua, D.: How the Current Blue Carbon Project Standards hinder Mangrove Conservation and Restoration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10656, https://doi.org/10.5194/egusphere-egu26-10656, 2026.

EGU26-10706 | Orals | BG4.5

Impact of the spread of invasive alien species in saltmarshes sedimentary carbon sinks 

Inés Mazarrasa, Ariane Arias-Ortiz, Joeri Kaal, Sara Morán, José A. Juanes, and Bárbara Ondiviela

The proliferation of invasive alien species (IAS) is one of the main threats to the conservation of estuarine habitats, including saltmarshes. Differences between IAS and their native counterparts in structural traits (e.g. plant size, biomass allocation, shoot stiffness) and chemical composition (e.g. nutrient and lignin content) can affect the accumulation and long-term storage of organic carbon (OC) in saltmarsh sediments. However, the impact of IAS colonization on sedimentary carbon sinks in saltmarshes remain largely unexplored, particularly in Europe. Existing studies are scarce and focus primarily on the herbaceous species Spartina alterniflora, while no research has yet assessed the impact of the spread of woody shrub species such as Baccharis halimifolia, one of the main IAS in European estuaries. This study examines organic carbon (OC) stocks, 210Pb-derived accumulation rates and the molecular composition of the organic matter (i.e. through pyrolysis techniques) in 12 sediment cores sampled across native saltmarsh (i.e. Juncus maritimus and Spartina maritima) and invasive saltmarsh communities (i.e. Spartina alterniflora, Spartina anglica and Baccharis halimifolia) in the Gulf of Biscay. The results of this study serve as a basis for the implementation of conservation and restoration actions in saltmarsh environments that address both biodiversity and climate change mitigation goals.

How to cite: Mazarrasa, I., Arias-Ortiz, A., Kaal, J., Morán, S., Juanes, J. A., and Ondiviela, B.: Impact of the spread of invasive alien species in saltmarshes sedimentary carbon sinks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10706, https://doi.org/10.5194/egusphere-egu26-10706, 2026.

EGU26-11737 | ECS | Posters on site | BG4.5

Reviewing models of ecosystem services provided by Blue Carbon ecosystems 

Tania Maxwell, Paul Carnell, Nipuni Perera, and Micheli Duarte de Paula Costa

Over the past decade, rapid advances in modelling techniques—from process-based and empirical approaches to ecosystem service tools and risk frameworks—have greatly expanded the ability to quantify the benefits provided by blue carbon ecosystems (mangroves, tidal marshes, and seagrasses), including carbon sequestration, coastal protection, habitat provision, and water quality regulation. However, models vary widely in assumptions, data needs, scales, and documentation, leaving numerous actors (managers, researchers, policy makers) with a confusing number of tools but little guidance on how to choose among them. This gap has major consequences for climate policy and nature based solutions, leading to inconsistent assessments, limited uptake by practitioners, and underuse of robust existing models. 

Addressing these challenges, we are currently working on a novel project aiming to develop a guideline of the different modelling techniques available to support the quantification of ecosystem services provided by blue carbon ecosystems (e.g., mangroves, tidal marshes, seagrasses). More specifically, we are reviewing the modelling techniques and algorithms available in the scientific literature used to quantify ecosystem services (e.g., coastal protection, resilience, carbon, water quality, etc.) provided by blue carbon ecosystems. We plan to produce a guide to support a variety of actors (e.g., managers, researchers, policy makers, etc.) to apply these models in their work using different case studies. We will develop an online platform that supports coherent, comparable, and policy relevant blue carbon assessments worldwide.

How to cite: Maxwell, T., Carnell, P., Perera, N., and Duarte de Paula Costa, M.: Reviewing models of ecosystem services provided by Blue Carbon ecosystems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11737, https://doi.org/10.5194/egusphere-egu26-11737, 2026.

EGU26-11818 | ECS | Orals | BG4.5 | Highlight

Root exudation: meassuring a missing component of carbon flux estimates in mangroves 

Lea Hanemann, Lucie Maillard, Huyen Thuong Dang, Hermine Huot, Cornelia Rumpel, Yanni Gunnell, Farid Dahdouh-guebas, Tam Le, Nguyen The Kiet Bui, and Marie Arnaud

Mangroves are among Earth's most carbon-dense ecosystems, yet belowground carbon cycling remains poorly understood compared to aboveground processes. Root exudation, the release of labile organic compounds from live roots, represents a critical pathway for transferring plant-derived carbon to soils. However, exudation has never been quantified in situ in mangroves due to technical challenges. Here, we developed and applied a sealed-cuvette system to quantify root exudation across two dominant species (Avicennia alba and Rhizophora apiculata) and contrasting wet–dry seasons in a deltaic mangrove (Can Gio, Vietnam). Mean root exudation rates were 0.135 ± 0.035 mg C·g⁻¹·h⁻¹ for Avicennia and 0.078 ± 0.017 mg C·g⁻¹·h⁻¹ for Rhizophora, with seasonal rates (pooled across both species) of 0.060 ± 0.013 mg C·g⁻¹·h⁻¹ for the wet season and 0.103 ± 0.031 mg C·g⁻¹·h⁻¹ for the dry season. Gamma GLMs testing for effects of species and season revealed no statistically significant differences in exudation rates (species: p = 0.093; season: p = 0.16), though substantial individual-level variation was observed within each group. Mangrove root exudation rates were comparable to global averages reported across terrestrial ecosystems (~0.058 mg C g⁻¹ h⁻¹), indicating similar root-level carbon release despite contrasting environmental conditions. When multiplied by mangroves' extensive fine-root biomass, and scaled to hectare and annual timescales, preliminary estimates suggest the exudation flux may represent a non-negligible and previously unaccounted-for component of mangrove carbon budgets.   

How to cite: Hanemann, L., Maillard, L., Dang, H. T., Huot, H., Rumpel, C., Gunnell, Y., Dahdouh-guebas, F., Le, T., Bui, N. T. K., and Arnaud, M.: Root exudation: meassuring a missing component of carbon flux estimates in mangroves, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11818, https://doi.org/10.5194/egusphere-egu26-11818, 2026.

EGU26-13763 | ECS | Posters on site | BG4.5

Molecular profile of labile and recalcitrant dissolved organic matter in coastal vegetated communities 

Isabel Casal Porras, Fernando G. Brun, José Lucas Pérez Lloréns, and Eva Zubía

Vegetated coastal communities are main sources of the marine dissolved organic matter (DOM), which may enter into the food chain (i.e. labile DOM) or remain stored in the ocean for longer periods (i.e. recalcitrant DOM), contributing to the blue carbon pool [1]. In particular, microbial utilization and processing of labile molecules of DOM is a key process that modifies the chemical composition and reactivity of DOM, ultimately resulting in the accumulation of resistant molecules [2]. In recent years, a growing number of studies have shown that the chemical characterization of DOM at molecular level using ultra-high resolution mass spectrometry (UHRMS) can provide key information on the sources, transformations, and fate of marine DOM [3]. This study was aimed to characterize at molecular level the labile, bacterial metabolism-derived, and recalcitrant fractions of DOM associated to three blue-carbon communities: the seagrasses Cymodocea nodosa and Zostera noltei, and the macroalga Caulerpa prolifera. For this purpose, a bioavailability experiment was conducted using seawater (free of microorganisms) from each community and a coastal bacterial inoculum. The viability of the cultures was confirmed by the decrease of dissolved organic carbon concentration and the increase of bacterial abundance observed in all communities at the end of the experiment. The solid-phase extraction of DOM followed by UHRMS analyses allowed the assignment of molecular formulas to compounds present in DOM at the beginning and at the end of experiment. The results showed that the percentage of molecular formulae that disappeared during bacterial cultivation (i.e., labile compounds) varied among communities, with the following trend: C. prolifera (55%) > C. nodosa (50%) > Z. noltei (38%). Representation of these molecular formulae in a van Krevelen diagram showed that a significant number of them were in the regions of compounds considered to be easily bioavailable, such as lipid-, peptide-, amino sugar- and carbohydrate-like compounds. On the other hand, the molecular formulae that were detected at the beginning and at the end of the culture (9-12%) were assigned to compounds resistant to degradation, and most of them fell in the diagram within the chemical classes expected for recalcitrant molecules (lignin- and tannin-like regions). These results provide insights into the molecular composition of DOM in blue carbon ecosystems, showing that the lability/recalcitrance of DOM, and hence the potential contribution to the blue carbon pool, seems to depend on the dominant species.

 

[1] Carlson, C. A. and Hansell, D. A. 2015. “DOM sources, sinks, reactivity, and budgets” In Biogeochemistry of marine dissolved organic matter (second edition), edited by D. A. Hansell and C. A. Carlson. Academic Press, Boston, MA, 65-126 pp.

[2] Li, H., Zhang Z., Xiong, T., Tang, K., He, C., Shi, Q., Jiao, N., Zhang, Y. 2022. Carbon sequestration on the form of recalcitrant dissolved organic carbon in a seaweed (kelp) farming environment. Environ. Sci. Technol. 56: 9112-9122.

[3] Qi, Y., Q. Xie, J. J. Wang, et al. 2022. “Deciphering dissolved organic matter by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS): from bulk to fractions and individuals.” Carbon Res. 1: 3.

How to cite: Casal Porras, I., Brun, F. G., Pérez Lloréns, J. L., and Zubía, E.: Molecular profile of labile and recalcitrant dissolved organic matter in coastal vegetated communities, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13763, https://doi.org/10.5194/egusphere-egu26-13763, 2026.

EGU26-15877 | Orals | BG4.5

Restored coastal wetlands emit high levels of methane after a cyclone, but remain carbon sinks 

Fernanda Adame, Naima Iram, Alex Pearse, Jasmine Hall, Vicki Bennion, Catherine Lovelock, Ashley Rummell, Sonia Marshall, Graham Webb, Will Glamore, Gareth Chalmers, Andrew Olds, Heather Keith, and Jim Smart

Restoration of coastal wetlands provides climate adaptation and mitigation benefits.  However, there is still limited information on the effects of climate change-driven events on restoration projects. We assessed the changes in soil greenhouse gas fluxes (GHG; methane, CH4, carbon dioxide, CO2, and nitrous oxide, N2O) on a site previously used for sugarcane production currently undergoing tidal reinstatement in subtropical Australia. Simultaneously, we sampled two natural reference mangrove sites. Sampling was conducted over three years, encompassing summer and winter seasons, before and after tidal reinstatement, and after the landfall of a cyclone. Before tidal reinstatement, GHG emissions at the restoration site were low and similar to those from the reference sites.  After tidal reinstatement, soil conductivity increased from zero to 5.9 ± 2.3 dS m-1, and the soil organic carbon increased by 38%, while GHG emissions remained low. After the tropical storm, a large peak in CH4 was measured at the restoration site (3,661 ± 1,719 µg m-2 hr-1) and at one reference site (7,588 ± 2,193 µg m-2 hr-1); small  N2O uptakes were also recorded in the restoration (-2.2 ± 0.5 µg m-2 hr-1) and reference sites ( -0.7 ± 0.1 µg m-2 hr-1).   The fluxes were associated with prolonged freshwater flooding and reduced soil conditions (-0.3 ± 12 mV and -151 ± 96 mV, respectively) caused by extreme rainfall. Nevertheless, the emissions from this event did not undermine the carbon sink potential of the restoration project, whose annual emissions (0.8 Mg CO2eq ha-1 yr-1), even for years with cyclones (1.5 Mg CO2eq ha-1 yr-1), remained lower than those from the former agricultural land use (2.6 Mg CO2eq ha-1 yr-1).  Climate change will increase the likelihood of extreme rainfall events; however, mangrove restoration projects are likely to remain carbon sinks.    

How to cite: Adame, F., Iram, N., Pearse, A., Hall, J., Bennion, V., Lovelock, C., Rummell, A., Marshall, S., Webb, G., Glamore, W., Chalmers, G., Olds, A., Keith, H., and Smart, J.: Restored coastal wetlands emit high levels of methane after a cyclone, but remain carbon sinks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15877, https://doi.org/10.5194/egusphere-egu26-15877, 2026.

EGU26-16096 | ECS | Posters on site | BG4.5

Potential Site Selection for Seagrass Cultivation/ Restoration in the East Coast of India 

Amit Amit and Mihir Kumar Dash

Seagrass meadows are vital coastal ecosystems that provide significant ecological services, including shoreline stabilization, wave energy attenuation, carbon sequestration, and enhancement of marine biodiversity. However, their global decline due to natural and anthropogenic stressors necessitates systematic identification of suitable regions for sustainable seagrass cultivation and restoration. This study aims to assess the potential sites for seagrass cultivation and restoration along the east coast of India, encompassing the coastal regions of Tamil Nadu, Andhra Pradesh, Odisha, and West Bengal, by evaluating key physical and biogeochemical parameters within established seagrass tolerance thresholds.

The bathymetry, significant wave height, potential surface temperature, sea surface salinity, photosynthetically available radiation (PAR) and chlorophyll-a concentration data are used to identify potential sites along the east coast of India. Our analysis indicates a pronounced seasonal cycle across the study area, up to 30 m depth which is suitable for seagrass photosynthesis, driven primarily by monsoon dynamics and regional freshwater inputs. Certain coastal stretches exhibit persistently moderate wave energy, favorable thermal and salinity regimes, and sufficient primary productivity, suggesting high potential for sustainable seagrass establishment. This study provides a data-driven framework and a machine learning technique for identifying suitable potential seagrass restoration/ cultivation sites all along the east coast of India.

Keywords: Seagrass Restoration, Seagrass in east Indian coast, Seagrass Datasets

How to cite: Amit, A. and Dash, M. K.: Potential Site Selection for Seagrass Cultivation/ Restoration in the East Coast of India, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16096, https://doi.org/10.5194/egusphere-egu26-16096, 2026.

EGU26-19001 | ECS | Posters on site | BG4.5

UAV-Mapping of Aboveground Biomass in Arid Mangrove Forests: A Crown-to-Grid Machine Learning Approach 

Mariana Elías-Lara, Omar Lopez Camargo, Jorge L. Rodríguez, Samer K. Al-Mashharawi, Víctor Angulo-Morales, Dario Scilla, Kasper Johansen, and Matthew F. McCabe

Mangrove forests are among the most carbon-rich coastal ecosystems, yet their aboveground biomass (AGB) remains poorly quantified in arid regions where structural complexity, closed canopies, and logistical constraints limit conventional field surveys. Improving AGB estimation in these understudied ecosystems is essential for advancing blue-carbon inventories, understanding ecological functioning under extreme environmental conditions, and supporting conservation and restoration initiatives. To address this gap, we present a UAV-based framework designed to generate high-resolution, non-destructive AGB estimates for Avicennia marina mangroves along the Saudi Arabian Red Sea coast, where data on AGB and carbon stocks remain scarce. The proposed approach implements a crown-to-grid framework that simulates quadrat-based AGB sampling at the site-scale using UAV-LiDAR and multispectral data. Field-measured trees are used exclusively to provide reference AGB values derived from an existing allometric relationship for Middle Eastern Avicennia marina. For model training, the crowns of these reference trees are manually delineated and partitioned into 1 m × 1 m grid cells; to augment the training dataset and reduce sensitivity to grid placement, each crown is sampled using 10 shifted grid configurations generated by systematically offsetting the grid origin. Tree-level AGB is then distributed across the cells using the canopy height model as a structural weighting function, generating a physically consistent, cell-level AGB reference while conserving total tree biomass. Spectral, structural, and index-based features extracted at the cell-level are used to train a Random Forest regression model. Model performance is evaluated using leave-one-tree-out cross-validation by aggregating predicted cell-level AGB back to the tree-scale and comparing it against field-derived AGB reference values. Once trained, the model is applied to a continuous 1 m × 1 m grid across the entire UAV-covered area, enabling spatially explicit AGB mapping without requiring individual-tree delineation. In addition to the methodological contributions, our results provide quantitative insights into AGB distribution in arid mangrove ecosystems. Mean site-level AGB densities ranged from ~25 to 31 Mg ha⁻¹, with localized hotspots associated with denser or taller vegetation. By resolving sub-canopy variability and integrating structural and spectral information, the framework improves our ability to characterize vegetation patterns that influence ecosystem function, productivity, and resilience, which are key components of blue-carbon dynamics in extreme environments. Finally, the approach establishes a pathway for upscaling UAV-derived AGB estimates to broader coastal regions, offering a critical bridge between field observations, high-resolution remote sensing, and satellite-based AGB products. Such scalable, non-destructive methods are essential for developing robust blue-carbon inventories, improving carbon accounting in regions where destructive sampling is limited, and supporting management and restoration strategies under accelerating climate and anthropogenic pressures.

How to cite: Elías-Lara, M., Lopez Camargo, O., Rodríguez, J. L., Al-Mashharawi, S. K., Angulo-Morales, V., Scilla, D., Johansen, K., and McCabe, M. F.: UAV-Mapping of Aboveground Biomass in Arid Mangrove Forests: A Crown-to-Grid Machine Learning Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19001, https://doi.org/10.5194/egusphere-egu26-19001, 2026.

EGU26-239 | ECS | Posters on site | BG3.17

Beyond greening and browning in northern peatlands: the roles of warming, precipitation, lake drainage, and tree cover 

Iuliia Burdun, Jiabin Pu, Ranga B. Myneni, and Miina Rautiainen

We conducted, to our knowledge, the first multi-decadal, peatland-specific assessment of canopy greening and browning trends across northern peatlands using a gap-filled, sensor-independent climate data record of leaf area index (LAI) for 2001–2023.  We hypothesise that northern peatlands exhibit spatially coherent greening or browning trends in LAI and that these trends can be explained by (i) climate-related changes, including warming, precipitation and recent lake drainage in the northern permafrost zone; (ii) differences in protection status; and (iii) variation in tree cover type and density. We found that although greening was widespread (77% of peatlands; greening-to-browning ratio 3.5:1), there was no statistical evidence for an area-weighted LAI trend at the map scale. Overall, peatland canopy change was not a uniform increase in greenness; rather, LAI responses were moisture-sensitive and dependent on tree-cover context and were further modulated by decadal climate variability.

How to cite: Burdun, I., Pu, J., Myneni, R. B., and Rautiainen, M.: Beyond greening and browning in northern peatlands: the roles of warming, precipitation, lake drainage, and tree cover, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-239, https://doi.org/10.5194/egusphere-egu26-239, 2026.

EGU26-285 | ECS | Orals | BG3.17 | Highlight

Changes in Snow Cover and Underground Ecosystems in the Northern Hemisphere 

Xiangjiao Tan and Yan Yang

The snow cover changes driven by climate change are profoundly altering the structure and function of alpine ecosystems. Based on a review of the effects of snowpack variation on soil processes in terrestrial ecosystems of the Northern Hemisphere (with the most significant soil insulation effect observed at snow depths of 40-70 cm; increased snow cover accelerates carbon and nitrogen cycling, leading to their loss, with more pronounced effects in moist habitats), this study, combined with snow cover manipulation experiments in the alpine meadows of the Tibetan Plateau, focuses on examining the response of plant above-ground and below-ground functional traits to increased snow depth. The study found that increased snow depth significantly improved the water-thermal conditions of the shallow soil during the growing season, which in turn drove an "inconsistent response" in plant above-ground and below-ground parts: while there was no significant change in above-ground biomass, leaf chemical traits (carbon, nitrogen, and phosphorus concentrations) were significantly enhanced, and morphological traits (such as specific leaf area) decreased. In contrast, root biomass in the below-ground part increased significantly, and root morphology was significantly optimized (specific root length and specific root area increased, root diameter decreased). Further analysis indicated that variation in leaf traits was primarily driven by nutrient chemical properties, whereas variation in root traits was predominantly influenced by morphological adjustments. The sensitivity of below-ground processes in the alpine meadows to snowpack variation was higher than that of the above-ground processes. This differential response strategy reflects the trade-offs between above-ground and below-ground resource allocation, highlighting the adaptive strategy of alpine plants to prioritize root investment for enhanced resource acquisition under changing snow conditions. This study deepens the understanding of the cascading mechanisms of snow-soil-plant interactions and provides a theoretical basis for predicting the feedback of alpine meadow ecosystems to climate change.

How to cite: Tan, X. and Yang, Y.: Changes in Snow Cover and Underground Ecosystems in the Northern Hemisphere, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-285, https://doi.org/10.5194/egusphere-egu26-285, 2026.

EGU26-378 | ECS | Orals | BG3.17

Evidence of long- range transport of toxic metals in High Arctic wetlands 

Ellie Purdy, Graeme Swindles, Richard Fewster, Thomas Roland, Jennifer Galloway, Maarten Blaauw, Thomas Bishop, Jon Yarwood, Emma Shuttleworth, Gareth Clay, and Becca Cole

High Arctic peatlands are among the most remote and climate- sensitive ecosystems on Earth. While they are globally recognised as important carbon sinks, their capacity to accumulate and archive atmospheric pollutants remains underexplored. This study investigates the deposition and accumulation of trace metals in peat cores from four sites across the Canadian High Arctic (Axel Heiberg Island, Banks Island, Ellesmere Island, and Kugaaruk) to assess the influence of long- range atmospheric transport on contaminant inputs.

Peat cores were collected from wetlands and analysed using inductively coupled plasma mass spectrometry (ICP-MS) for lead (Pb), cadmium (Cd), copper (Cu), zinc (Zn), chromium (Cr), and nickel (Ni). Concentration profiles were evaluated alongside enrichment factors (EFs), calculated relative to crustal reference elements, to distinguish anthropogenic contributions from natural lithogenic sources.

Across all sites, distinct enrichment of Pb, Cd, and Zn was observed in the upper peat layers, with enrichment factors exceeding 5 at several depths, particularly on Axel Heiberg and Ellesmere Island. In contrast, Cr and Ni displayed near-crustal EF values (close to 1), suggesting primarily natural origins. The enrichment patterns for Pb and Cd indicate deposition peaks likely corresponding to periods of heightened industrial emissions in the mid- to late 20th century, consistent with known global trends in atmospheric metal fallout. The widespread detection of anthropogenic metals across geographically isolated High Arctic wetlands underscores the efficacy of long- range atmospheric transport processes in dispersing contaminants from lower- latitude industrial regions.

These findings demonstrate that Arctic peatlands serve as dual-function environmental archives: they sequester both carbon and anthropogenic pollutants over millennial timescales. However, as climate warming intensifies permafrost thaw and alters hydrological and biogeochemical conditions, these historically sequestered metals risk remobilisation into Arctic freshwater systems. Such release could have cascading effects on sensitive ecosystems and local food webs, further illustrating the interconnectedness of global human activity and polar environmental change.

By coupling concentration and enrichment factor analyses across multiple Arctic sites, this study provides the first regional- scale evidence of widespread metal enrichment in High Arctic peatlands attributable to atmospheric transport. It highlights the necessity of incorporating contaminant storage and release processes into broader models of Arctic biogeochemical cycling. Understanding how these systems mediate both carbon and pollutant fluxes under a warming climate is critical for predicting future Arctic ecosystem responses and for developing effective environmental protection strategies.

How to cite: Purdy, E., Swindles, G., Fewster, R., Roland, T., Galloway, J., Blaauw, M., Bishop, T., Yarwood, J., Shuttleworth, E., Clay, G., and Cole, B.: Evidence of long- range transport of toxic metals in High Arctic wetlands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-378, https://doi.org/10.5194/egusphere-egu26-378, 2026.

EGU26-2070 | Posters on site | BG3.17

Seasonal freeze-thaw effects on submarine groundwater discharge in coastal unconfined aquifers 

Xiayang Yu, Yue Li, and Pei Xin

Submarine groundwater discharge (SGD) can deliver land-sourced chemicals to coastal waters, influencing coastal biogeochemistry and ecosystems. In cold regions, submarine groundwater discharge commonly occurs under seasonal freeze-thaw conditions, but how freeze-thaw processes affect SGD in coastal unconfined aquifers remains unclear. This study examines the fluctuation of water efflux in coastal aquifers under seasonal freeze-thaw conditions, based on a two-dimensional conceptual model. Simulations were conducted using a modified SUTRA-MS model that incorporates freeze-thaw processes into variably saturated, density-dependent groundwater flow coupled with salt and heat transport. The response of frozen layer thickness and SGD to seasonal freeze-thaw will be discussed here in detail.

How to cite: Yu, X., Li, Y., and Xin, P.: Seasonal freeze-thaw effects on submarine groundwater discharge in coastal unconfined aquifers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2070, https://doi.org/10.5194/egusphere-egu26-2070, 2026.

Plant-microbe symbiotic relationships are critical for ecosystem stability and functional maintenance, particularly in extreme alpine ecosystems. Takakia lepidozioides, one of the most primitive moss species in the world, has unclear mechanisms of interaction with microbes. This study focused on T. lepidozioides distributed along an altitudinal gradient (3800-4200 m) on Galongla Snow Mountain in southeastern Tibet. Through in situ field sampling, 16S rRNA and ITS amplicon sequencing were used to analyze microbial community structures in the rhizoidsphere and endophyte compartments, combined with metagenomic sequencing to examine functional characteristics. The study systematically investigated the T. lepidozioides-microbe symbiotic system and its cooperative adaptation mechanisms to alpine environments. Key findings are as follows:

(1) Significant differences existed between rhizoidsphere soil bacteria and endophytic bacteria in community composition, diversity, network structure, and assembly processes, with relatively smaller differences in fungi; altitude had no significant effect on symbiotic microbes (rhizoidsphere and endophyte), but they were influenced to some extent by physicochemical properties;

(2) Symbiotic microbes potentially assisted the host in basic element cycling, immunity, and antioxidant production, while supplementing indole-3-acetic acid synthesis pathways; symbiotic microbes relied on ABC transporters for N/S/P/Fe(III) transport but lacked transporters for sugars, organic acids/aromatics, metals/partial vitamins, amino acids, and defense-related proteins; endophytes contributed to host growth and stress resistance through enhanced amino acid metabolism, energy flow, terpenoid precursors, and carotenoid precursor synthesis compared to rhizoidsphere microbes;

(3) The symbiotic compartment contained many novel microbes (unclassifiable to species level by GTDB-Tk); endophytic metabolic modules were more diverse than those in the rhizoidsphere; endophytes exhibited pronounced community-function decoupling, with more frequent horizontal gene transfer events, consistent with weaker selection processes in endophytes.

In summary, this study revealed the roles of rhizoidsphere and endophytic microbes in supporting T. lepidozioidessurvival at the community and functional levels, providing the first comprehensive analysis of potential T. lepidozioides-microbe symbiotic relationships. These findings have significant implications for understanding early patterns of plant-microbe cooperative adaptation to extreme environments and for conserving endangered species.

How to cite: Liu, W. and Wei, Y.:  Symbiotic strategy of endophytic-rhizoidsphere microbiome with Takakia lepidozioides in alpine mountain of Tibetan Plateau, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4937, https://doi.org/10.5194/egusphere-egu26-4937, 2026.

EGU26-8163 | Posters on site | BG3.17

Evaluating spatial upscaling strategies for Arctic carbon fluxes: high-density mobile chamber measurements at Stordalen Mire 

Kseniia Ivanova, Abdullah Bolek, Nicholas James Eves, Martin Heimann, Sanjid Backer Kanakassery, Lara Oxley, Elliot Pratt, Mark Schlutow, Nathalie Triches, Judith Vogt, Elias Wahl, Theresia Yazbeck, Barbara Widhalm, Annett Bartsch, and Mathias Göckede

Estimating the carbon balance of Arctic ecosystems is challenging because of their high spatial heterogeneity, which is difficult to account for using traditional methods: static chambers linked to fixed points allow for tracking the seasonal dynamics of processes but are limited in spatial coverage, whereas the Eddy Covariance method provides only an integral assessment of fluxes from large areas, averaging the contribution of various microlandscapes. 

In this work, we present the results of a STORDALENX25 field campaign conducted during the 2025 growing season at Stordalen Mire (Abisko, Sweden), during which over 650 measurements of CH4 and CO2 (NEE) fluxes were obtained using the mobile chamber technique, quasi-randomly distributed within and beyond the Eddy Covariance footprint, covering a total area of approximately 0.1 km2. The unique density of this spatial dataset allows it to be used not only for calculating the regional budget but also as a testbed for evaluating various spatial upscaling strategies. 

As a first key methodological task, we compare the effectiveness of different base maps describing the study domain: we contrast classical upscaling based on land cover types (Palsa, Fen, Bog) with the use of data-driven functional zonation. Another research objective is to determine the factors contributing most to model accuracy: we conduct a comparative analysis of predictors, assessing the "value added" by remote sensing data (Sentinel-2, UAV) compared to direct field measurements such as soil temperature and moisture. Furthermore, we analyze the "performance plateau" to identify the minimum necessary number of measurement points and compare the efficiency of classical vegetation-based scaling against clustering based on environmental response functions. The results, validated by data from static chambers and the Eddy Covariance tower, allow for the optimization of future field campaign designs by determining the balance between labor effort and the accuracy of spatial estimates.

How to cite: Ivanova, K., Bolek, A., Eves, N. J., Heimann, M., Kanakassery, S. B., Oxley, L., Pratt, E., Schlutow, M., Triches, N., Vogt, J., Wahl, E., Yazbeck, T., Widhalm, B., Bartsch, A., and Göckede, M.: Evaluating spatial upscaling strategies for Arctic carbon fluxes: high-density mobile chamber measurements at Stordalen Mire, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8163, https://doi.org/10.5194/egusphere-egu26-8163, 2026.

EGU26-10758 | Posters on site | BG3.17

Negative effects of false spring on P. cembra in the alpine treeline ecotone of the High Tatras, Slovakia 

Veronika Lukasová, Svetlana Varšová, and Jaroslav Škvarenina

Trees growing in mountain regions have evolved adaptations to withstand extreme winter conditions, primarily through dormancy and frost-avoidance mechanisms. However, frost events occurring after the growing season begins pose a substantial risk, as ice formation can damage newly developing tissues. A warm episode in late winter or early spring that triggers premature growth, followed by a subsequent hard freeze, is termed a false spring.

In the alpine treeline ecotone in the High Tatras, Pinus cembra, a native, long-lived mountain conifer, experienced such a false spring in 2024. Weather conditions in late winter led to an unusually early bursting of vegetative buds, which was interrupted by an 11-day cold spell. During this period, minimum air temperatures dropped to −8.3 °C, with a mean daily temperature of −2.0 °C, as recorded at the Skalnaté Pleso Observatory (1778 m a.s.l.). This freezing event occurred shortly after vegetative buds had lost their protective resin layer and begun to burst. The aim of this study was to assess the impact of this event on the life cycle of P. cembra.

In the weeks following the false spring, affected individuals exhibited pronounced needle yellowing and defoliation. While senescence and shedding of older needles typically occur between August and September, frost-induced stress led to the premature loss of approximately one-third of needles as early as May, at the beginning of the growing season. Although new shoots and needles developed normally, reproductive organs were severely affected. Cone bud formation was observed approximately two months after vegetative budburst; however, male (pollen) cones were degenerated and showed minimal pollination potential. Following the false spring, P. cembra individuals developed several seed cones, which subsequently abscised between July and August 2025. These cones were immature, small, and deformed.

Our results demonstrate that false spring events associated with ongoing climate change can disrupt the life cycles of P. cemba, substantially limiting its reproductive potential in the alpine treeline ecotone of the High Tatras.

Acknowledgement: This study was funded by the project VEGA 2/0048/25.

How to cite: Lukasová, V., Varšová, S., and Škvarenina, J.: Negative effects of false spring on P. cembra in the alpine treeline ecotone of the High Tatras, Slovakia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10758, https://doi.org/10.5194/egusphere-egu26-10758, 2026.

EGU26-11121 | ECS | Orals | BG3.17

Between light and dark, source and sink: N2O dynamics in a subarctic, nutrient-poor permafrost peatland 

Nathalie Ylenia Triches, Abdullah Bolek, Mirkka Rovamo, Richard E. Lamprecht, Kseniia Ivanova, Wasi Hashmi, Theresia Yazbeck, Nicholas James Eves, Dhiraj Paul, Anna-Maria Virkkala, Timo Vesala, Christina Biasi, Maija E. Marushchak, and Mathias Göckede

Global warming and associated permafrost thaw in the Arctic raise concerns about increased greenhouse gas emissions. Nitrous oxide (N2O) is a potent greenhouse gas produced in soils, but the magnitude of N2O fluxes from permafrost regions remains highly uncertain. While high N2O emissions for nutrient-rich, bare Arctic soils have been reported, for nutrient-poor soils that dominate the region the magnitude and drivers of N2O fluxes have rarely been investigated. We present an unprecedented dataset of 1487 chamber flux observations covering three snow-free seasons in a nutrient-poor thawing permafrost peatland in northern Sweden. Our results show that this ecosystem can act as a continuous and non-negligible, albeit small, sink of N2O during the snow-free season, which has not been reported from in-situ studies before. We also discovered a continuous N2O hotspot that indicates potential for substantial N2O production and net emissions in specific areas of the peatland. Our study identifies complex controls of N2O fluxes, highlighting interactions between photosynthetically active radiation (PAR), carbon dioxide (CO2) fluxes, and other environmental factors. We show that PAR is an important but not exclusive driver, with differences in the set of drivers and shape of dependencies between light and dark conditions.

Our results underscore the non-negligible N2O fluxes in nutrient-poor Arctic soils and the presence of hot spots which may be important for the total landscape scale N2O budget. The crucial role of soil-plant-atmosphere interactions in N2O dynamics and the role of light as a driver of N2O flux may have implications for global greenhouse gas budgets and climate mitigation and should be further investigated in future studies.

How to cite: Triches, N. Y., Bolek, A., Rovamo, M., Lamprecht, R. E., Ivanova, K., Hashmi, W., Yazbeck, T., Eves, N. J., Paul, D., Virkkala, A.-M., Vesala, T., Biasi, C., Marushchak, M. E., and Göckede, M.: Between light and dark, source and sink: N2O dynamics in a subarctic, nutrient-poor permafrost peatland, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11121, https://doi.org/10.5194/egusphere-egu26-11121, 2026.

EGU26-12212 | ECS | Orals | BG3.17

Permafrost degradation inputs shape mitigation potential of methane emissions from aquatic ecosystems in a polygonal peatland context 

Rémi Trémouille, Maialen Barret, Aliénor Allain, Julien Arsenault, Frédéric Bouchard, Garance Coquereau, Lucie Germain, Marion Vivant, and Laure Gandois

In polygonal peatlands, typical of continuous permafrost, numerous small aquatic ecosystems are found in ice-wedge troughs but also in larger depressions. These ponds reflect permafrost evolution and degradation, which influences their functioning. Permafrost ice is enriched in carbon and nutrients, and its degradation leads to the transfer of Dissolved Organic Carbon (DOC), nutrients (N, P) and microorganisms to ponds. These aquatic ecosystems act as CH4 emission hotspots. An important proportion of the CH4 produced by ponds is mitigated in the water column by methanotrophic activity. We refer to the hydrological and biological exchange between permafrost pore ice and aquatic ecosystems, which is driven by ongoing permafrost degradation, as permafrost-pond connectivity. The effects of permafrost-ponds connectivity on microbial communities and CH4 oxidation activity remain to be assessed, to understand how permafrost degradation could influence future Greenhouse Gas (GHG) fluxes of polygonal peatland.

In this study, we combined in situ monitoring and incubation approach of small ponds of polygonal peatlands. Study sites were located near Churchill (Manitoba, Canada) and across Wapusk National Park, in the Hudson Bay lowlands, the second largest complex of permafrost peatland in the world. To investigate the diversity and functioning of aquatic ecosystems, we characterised GHG concentration and fluxes, organic carbon, nutrient concentrations and microbial communities, in and around forty waterbodies covering a large range of permafrost degradation context, from small trough ponds to larger depressions. Additionally, we tested the effect of permafrost-pond connectivity on CH4 oxidation activity in an experimental setting by adding inorganic nutrients (N, P) or permafrost pore ice into methanotrophic incubations of pond water. Ponds selected for these experiments covered a range of different permafrost connectivity context.

We found that the degree of connectivity between permafrost ice and ponds strongly structures their microbial community composition, nutrient content and CH4 mitigation potential. Higher connectivity to permafrost leads to higher DOC and Total Phosphorous (TP) content, whereas lower [CH4] were measured. Nutrient transfer affected CH4 oxidation activity in different ways in methanotrophic experiments. Synthetic NP inputs increased CH4 oxidation activity. On the other hand, permafrost pore ice transfer led to strong decrease of CH4 oxidation activity. Labile DOC and nutrients contained in permafrost pore ice increased heterotrophic activity and competition for O2. Ponds with low connectivity to permafrost (influenced by the active layer) were more sensitive to nutrient inputs than the ponds highly connected with permafrost. These results suggest that methanotrophic activity could be less nutrient-limited as a result of higher nutrient input from permafrost to ponds. These results show that nutrient transfer from permafrost alters CH4 mitigation activity and influences CH4 emissions from aquatic ecosystems in a polygonal peatland context. This study provides new insights into understanding biogeochemical processes and estimating permafrost thaw positive feedback to climate change.

How to cite: Trémouille, R., Barret, M., Allain, A., Arsenault, J., Bouchard, F., Coquereau, G., Germain, L., Vivant, M., and Gandois, L.: Permafrost degradation inputs shape mitigation potential of methane emissions from aquatic ecosystems in a polygonal peatland context, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12212, https://doi.org/10.5194/egusphere-egu26-12212, 2026.

EGU26-12456 | ECS | Orals | BG3.17

Understanding how snow cover controls methane emissions in high-latitude peatlands through ecosystem modeling 

Suvi Orttenvuori, Antti Leppänen, Tiina Markkanen, Mika Aurela, Anna Kontu, Juha Lemmetyinen, Milja Männikkö, Maarit Raivonen, and Tuula Aalto

Seasonal snow cover plays a critical role in regulating soil freeze-thaw dynamics by forming an insulating layer on top of the soil and modifying the soil thermal regime in high latitude regions. In natural wetlands, which have a significant contribution to global methane (CH4) emissions and are sensitive to rising surface temperatures, snow cover influences the seasonality and magnitude of these emissions. Despite its importance, snow-soil-atmosphere interactions remain a major source of uncertainty in current land surface models, particularly with respect to methane dynamics during the cold season. The net methane flux is regulated by the processes of CH4 production, oxidation, and transport, with methane transported from the soil to the atmosphere via diffusion, ebullition and plant-mediated transport. Snowpack slows down the diffusion of methane and high emissions can occur during spring snow melt and soil thaw.

In this study, we utilize the JSBACH ecosystem model and run it coupled with the HIMMELI peatland process model with a novel snow resistance implementation to assess how snowpack modifies the methane microbe and transport processes in high-latitude peatlands. The model framework is forced, calibrated and evaluated using observational data from an established pristine mire eddy covariance (EC) measurement site located in northern Finland within the Arctic-boreal region. Simulated methane fluxes and snow dynamics are compared against EC, chamber, and snowpack CH4 diffusion gradient observations in addition to manual and automated observations of snow properties. Our preliminary results indicate that the snowpack impacts the soil freeze/thaw, anoxic conditions, methane concentrations and plant-mediated transport, therefore demonstrating the complex and non-linear relationship between seasonal snow cover and methane production, transport and oxidation processes.

How to cite: Orttenvuori, S., Leppänen, A., Markkanen, T., Aurela, M., Kontu, A., Lemmetyinen, J., Männikkö, M., Raivonen, M., and Aalto, T.: Understanding how snow cover controls methane emissions in high-latitude peatlands through ecosystem modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12456, https://doi.org/10.5194/egusphere-egu26-12456, 2026.

EGU26-12726 | Orals | BG3.17

Winter Metabolism in the High Arctic: A Multi-Habitat Metatranscriptomic Perspective 

Catherine Larose, Harpreet Singh, James A Bradley, and Timothy M Vogel

The cryosphere hosts diverse microbial communities adapted to steep temperature gradients, low water availability, and prolonged darkness. Despite evidence for sub-zero metabolic activity and long-term survival in ice cores, winter microbial ecology, particularly during the polar night, remains poorly constrained, with most studies focused on sunlit seasons. This has led to an incomplete, photosynthesis-centric view of polar ecosystem function, leaving open whether winter represents a period of dormancy or sustained metabolic activity. Here, we present the first multi-habitat metagenomic and metatranscriptomic study of High Arctic (79°N) microbial communities from glacier ice, snow, lake ice, and soils, sampled during mid-polar night. We examine transcriptional and translational activity to test for winter metabolic function, identify active taxa and pathways, and assess habitat-specific strategies. We evaluate how nutrient availability constrains winter metabolism and whether low-abundance taxa contribute disproportionately to activity. Our results indicate that cryospheric microbial communities maintain diverse metabolic functions throughout the polar night, redefining winter as a dynamic biogeochemical period with implications for Arctic ecosystem processes under changing climate.

 

How to cite: Larose, C., Singh, H., Bradley, J. A., and Vogel, T. M.: Winter Metabolism in the High Arctic: A Multi-Habitat Metatranscriptomic Perspective, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12726, https://doi.org/10.5194/egusphere-egu26-12726, 2026.

EGU26-14046 | ECS | Orals | BG3.17

Thermal and hydrological controls on subsurface gas transport and soil respiration in Arctic tundra ecosystems 

Navid Ahmadi, Birgitte Kortegaard Danielsen, Guy Schurgers, Chamindu Deepagoda, Riikka Rinnan, Karoline Nordberg Nilsson, and Bo Elberling

In recent decades, the temperature and precipitation patterns in Arctic ecosystems have been highly affected by climate change. Previous studies suggest that changing air circulation and more evaporation from ice-free Arctic seas could increase snowfall and winter snow accumulation in parts of the Arctic, which in turn can change the onset of the growing season. In combination with ongoing and projected temperature rise, such shifts will alter the physical and biogeochemical processes that are associated with soil respiration and production/release of greenhouse gases like CO2 from Arctic tundra soils.

Arctic tundra soils experience strong seasonal hydrological dynamics, ranging from frozen conditions in winter to near water saturated and partially water saturated conditions following snowmelt infiltration in early spring. These conditions exert controls (i) on the transport behavior and delivery of O2 into the soil, (ii) on the kinetics of soil respiration and (iii) on the release of CO2 to the atmosphere. Despite the importance of these complex interactions for Earth’s climate, there is still a considerable limitation on the accurate quantification of the interplay between thermo-hydrological, transport and microbial respiration in controlling CO2 emissions from tundra ecosystems under transient field conditions.

We investigated how physical and biogeochemical processes, including oxygen transport, soil respiration and CO2 emissions respond to seasonal thermo-hydrological dynamics in a typical well-drained Arctic tundra ecosystems by combining lab experiments and field observations with process-based modelling. Our results show that respiration and CO₂ emissions are strongly constrained by low temperatures during most of the year as oxygen concentration remains close to atmospheric levels and therefore oxygen availability is not a limiting factor. The onset of spring is accompanied by a gradual increase in temperature and melting of snowpack, which reduces the thermal limitation on soil respiration. However, the resulting snowmelt infiltration exerts a series of biochemical and physical controls on soil respiration dynamics and CO2 emission by (i) inducing water saturated conditions in soil; (ii) limiting oxygen transport into the soil and CO2 migration toward the atmosphere due to slow gas diffusivity in water and (iii) reducing oxygen concentration to values close to half saturation constant of oxygen, thereby exerting metabolic constrains. These results highlight the importance of considering the impact of climate forcing (e.g., thermal and hydrological dynamics) on physical and biogeochemical processes that regulate carbon dynamics in Arctic tundra ecosystems.

 

 

 

 

 

 

 

How to cite: Ahmadi, N., Kortegaard Danielsen, B., Schurgers, G., Deepagoda, C., Rinnan, R., Nordberg Nilsson, K., and Elberling, B.: Thermal and hydrological controls on subsurface gas transport and soil respiration in Arctic tundra ecosystems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14046, https://doi.org/10.5194/egusphere-egu26-14046, 2026.

EGU26-16383 | Posters on site | BG3.17

Effects of Long-Term Experimental Warming on Nitrogen Uptake and Partitioning During Arctic Tundra Shoulder Seasons 

Ji Young Jung, Emil Alexander Sherman Andersen, Sujeong Jeong, Sungjin Nam, Jinhyun Kim, Jihyeon Jeon, and Anders Michelsen

Spring and autumn, often termed shoulder seasons, represent key transitional phases in Arctic tundra ecosystems, during which nutrient dynamics become highly variable. Biogeochemical cycling during these periods is particularly responsive to warming. Here, we quantify nitrogen uptake and allocation across soil, plant, and microbial fractions in tundra ecosystem at Abisko, northern Sweden, where experimental warming has been maintained for 7 and 17 years, alongside ambient controls. A dual-labeled ¹³C¹⁵N-glycine tracer was used to trace nitrogen incorporation over short-term (24 h) and longer-term (one month) timescales. Isotope recovery across ecosystem pools will be used to determine how warming duration alters the partitioning of nitrogen during seasonal transitions. Based on fieldwork completed last year, this work reports preliminary results from ongoing analyses, with only a limited number of initial findings presented. Once analyses are complete, the results will contribute to improve our understanding of nitrogen dynamics during transition periods under warming in Arctic tundra ecosystems.

How to cite: Jung, J. Y., Andersen, E. A. S., Jeong, S., Nam, S., Kim, J., Jeon, J., and Michelsen, A.: Effects of Long-Term Experimental Warming on Nitrogen Uptake and Partitioning During Arctic Tundra Shoulder Seasons, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16383, https://doi.org/10.5194/egusphere-egu26-16383, 2026.

EGU26-16767 | ECS | Posters on site | BG3.17

Divergent ecosystem responses: Biological activity and soil organic matter vulnerability under increased snow depth in Arctic tundra 

Jinhyun Kim, You Jin Kim, Ji Young Jung, Sungjin Nam, and Sujeong Jeong

Snow cover strongly affects Arctic tundra soils, regulating temperature, moisture, and nutrient availability across seasons. Although warming increases winter snowfall and prolongs snow cover, the biogeochemical impacts remain uncertain in contrasting tundra types. We installed snow fences in moist tundra (Council, Alaska) and dry tundra (Cambridge Bay, Nunavut) for five to six years to assess how deeper snow cover modifies soil conditions, biological activity, and soil organic matter (SOM) fractions, focusing on mineral-associated organic matter (MAOM). Deeper snow cover raised winter soil temperatures at both sites. However, only the moist tundra showed higher summer soil temperature and moisture, leading to higher plant greenness and a slight rise in SOM vulnerability. At this site, free particulate organic matter fraction rose while MAOM declined, indicating that MAOM, less chemically processed (high C/N, low δ¹⁵N), was more susceptible to decomposition. In contrast, the dry tundra’s colder conditions showed no major shifts in soil chemistry, vegetation, microbes, or SOM fractions, likely because temperatures stayed below thresholds for winter biological activity. These site-specific results indicate that soil temperature and moisture drive Arctic tundra responses to deeper snow cover, highlighting the importance of understanding such differences when predicting biogeochemical feedback under rapid climate change.

How to cite: Kim, J., Kim, Y. J., Jung, J. Y., Nam, S., and Jeong, S.: Divergent ecosystem responses: Biological activity and soil organic matter vulnerability under increased snow depth in Arctic tundra, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16767, https://doi.org/10.5194/egusphere-egu26-16767, 2026.

EGU26-16981 | ECS | Posters on site | BG3.17

Spatial patterns of Arctic ecosystem changes under recent climate warming and permafrost degradation 

Marina Vîrghileanu, Teona Daia-Creinicean, Alexandru Berbecariu, Carmen-Gabriela Bizdadea, Florin Miron, and Ionuț Șandric

Recent climate warming in the Arctic is driving accelerated permafrost degradation (Biskaborn et al., 2019), representing one of the most severe consequences of contemporary climate change (Rantanen et al., 2022; Schuur et al., 2022), with profound impacts on terrestrial ecosystems and the global climate system (Calvin et al., 2023). Although Arctic greening has been widely documented, ecosystem responses remain spatially heterogeneous and include both vegetation expansion and degradation (Kropp et al., 2025; Frost et al., 2025).

The aim of our study is to investigate the spatial patterns of Arctic ecosystem dynamics over the past four decades in relation to recent climate warming and permafrost degradation, using multi-temporal satellite observations and spatial analysis techniques. Time series of satellite-derived vegetation (NDVI, GNDVI, SAVI, MSAVI, EVI) and water indices (NDWI, AWEIsh) from Landsat (1984–2025) and MODIS (2000-2025) were analyzed to identify trends and anomalies in vegetation productivity and surface water dynamics. The analysis was conducted using a reproducible workflow based on the Microsoft Planetary Computer STAC and automated Python scrips, enabling efficient data extraction and consistent processing across temporal and spatial scales.

Results reveal widespread greening across large areas of the Arctic tundra, with a general increase up to 0.03 – 0.04 in vegetation indices. However, localized browning and declining vegetation are observed in areas affected by permafrost thaw, surface subsidence, and altered hydrological regimes. Contrasting patterns are also revealed by water indices, with increasing values indicating the formation of new lakes, and decreasing values associated with drainage or vegetation encroachment. These patterns highlight strong spatial linkages between climate warming, permafrost dynamics, and ecosystem response.

Overall, this study emphasizes that Arctic ecosystem change is characterized by complex and heterogenous trend and underscores the importance of spatially explicit monitoring frameworks for assessing Arctic ecosystem vulnerability and resilience under ongoing climate change.

 

Acknowledgement

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101086386, EO-PERSIST - A Cloud-Based Remote Sensing Data System for Promoting Research and Socioeconomic Studies In Arctic Environments (https://www.eo-persist.eu).

 

References

  • Biskaborn et al. (2019). Permafrost is warming at a global scale. Nature Communications, 10(1), 264. https://doi.org/10.1038/s41467-018-08240-4
  • Calvin et al. (2023). IPCC, 2023: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland. (First). Intergovernmental Panel on Climate Change (IPCC). https://doi.org/10.59327/IPCC/AR6-9789291691647
  • Frost, G. V. et al. (2025). The changing face of the Arctic: Four decades of greening and implications for tundra ecosystems. Frontiers in Environmental Science, 13. https://doi.org/10.3389/fenvs.2025.1525574
  • Kropp, H. et al. (2025). Heterogeneous long-term changes in larch forest and shrubland cover in the Kolyma lowland are not captured by coarser-scale greening trends. Environmental Research: Ecology, 4(1), 015002. https://doi.org/10.1088/2752-664X/ada8b1
  • Rantanen et al. (2022). The Arctic has warmed nearly four times faster than the globe since 1979. Communications Earth & Environment, 3(1), 168. https://doi.org/10.1038/s43247-022-00498-3

How to cite: Vîrghileanu, M., Daia-Creinicean, T., Berbecariu, A., Bizdadea, C.-G., Miron, F., and Șandric, I.: Spatial patterns of Arctic ecosystem changes under recent climate warming and permafrost degradation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16981, https://doi.org/10.5194/egusphere-egu26-16981, 2026.

EGU26-17197 | ECS | Orals | BG3.17

Plant belowground traits reflect increased plant-mediated methane transport along a peatland permafrost thaw gradient 

Tiia Määttä, Jalisha Theanutti Kallingal, Samantha Bosman, Jeffrey Chanton, Suzanne Hodgkins, Rachel Wilson, Ruth Varner, and Avni Malhotra

Permafrost thaw in subarctic peatlands alters ecosystem methane (CH4) fluxes. Collapsing permafrost peat plateaus (palsas) change soil hydrology, oxygen availability, and vegetation composition, and each of these factors contribute to net CH4 flux by influencing CH4 production, consumption and transport. However, changes in plant-mediated CH4 fluxes have mostly been estimated with aboveground characteristics, such as biomass and leaf area, leaving belowground parts (roots and rhizomes) understudied despite their direct contact to depth-dependent CH4 flux processes. Here, we explored the potential of using root and rhizome traits as proxies for plant-mediated CH4 cycling along a peatland permafrost thaw gradient in subarctic Sweden. We investigated changes in plant belowground traits along the thaw gradient and the relationships between root and rhizome biomass, surface area (SA), diameter, tissue density (TD), and specific root length (SRL), and early, middle, peak and season median CH4 fluxes by utilizing chamber CH4 flux and pore water CH4 concentration and isotopic measurements during the productive season. Shrub SRL, diameter and isotopic data suggested increased plant-mediated carbon substrates for acetoclastic methanogenesis along the thaw gradient. Root TD (root porosity proxy) decreased with thaw and had negative correlations with CH4 fluxes throughout the season, and together with positive herbaceous rhizome SA-CH4 flux associations and lower pore water CH4 concentrations in the fully thawed stage. These results indicated increasing herbaceous plant-mediated transport of acetoclastically-produced CH4 with thaw. Altogether, while confirming previous findings of increased plant-mediated acetoclastic methanogenesis with thaw, this study also demonstrated the benefit of belowground traits in revealing new aspects of plant-mediated CH4 cycling in permafrost peatlands.

How to cite: Määttä, T., Kallingal, J. T., Bosman, S., Chanton, J., Hodgkins, S., Wilson, R., Varner, R., and Malhotra, A.: Plant belowground traits reflect increased plant-mediated methane transport along a peatland permafrost thaw gradient, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17197, https://doi.org/10.5194/egusphere-egu26-17197, 2026.

Microbial carbon use efficiency (CUE) is a cornerstone metric for predicting soil organic carbon (SOC) storage globally. However, its predictive power in vulnerable frozen boreal forests, where physical preservation can override biological processing, remains a critical unknown. Here, we investigated the CUE-SOC relationship across the climatically sensitive permafrost transitional zone in the Greater Khingan Mountains. Our results revealed a stark dichotomy that challenges the universal applicability of this microbial efficiency–SOC paradigm. In the warmer, non-permafrost soils, microbial CUE was the primary positive driver of SOC accumulation, consistent with global patterns. Conversely, this relationship completely vanished in adjacent permafrost soils, in which SOC accumulation was decoupled from microbial efficiency and was instead overwhelmingly controlled by high retention of plant carbon residues (e.g., NDVI, particulate organic matter) and their physical cryo-preservation. This fundamental decoupling of microbial processing from soil carbon storage demonstrated that the biogeochemical rules governing SOC in much of the world do not apply in these frozen landscapes. Our findings provide critical mechanistic evidence that ecosystem carbon model must shift priority toward controls on plant inputs and physical cryo-preservation over microbial CUE to accurately forecast the fate of the vast and vulnerable northern carbon stocks in a future climate.

How to cite: Zhou, X. and Kong, T.: Decoupling of microbial carbon use efficiency from soil carbon storage in boreal forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17692, https://doi.org/10.5194/egusphere-egu26-17692, 2026.

EGU26-20267 | ECS | Orals | BG3.17

Global warming driving increased winter CO2 emissions in the Northern Hemisphere permafrost region 

Yuguo Wei, Cuicui Mu, Deliang Chen, Xiaoxiao Mo, Bo Elberling, Wenxin Zhang, Guofei Zhang, Chunling Zhang, Kun Li, Xiaodong Li, Mingming Shi, Mei Mu, Xufeng Wang, Da Wei, Tianbao Dou, Xinlong Du, Xiaoqing Peng, Yanxiang Jin, Jingfeng Xiao, and Philippe Ciais

Global warming accelerates the breakdown of carbon stored in permafrost regions, releasing it into the atmosphere and amplifying climate change, particularly during winter when photosynthesis ceases. The Northern Hemisphere's permafrost is primarily concentrated in two key regions — the Arctic and the Tibetan Plateau — each with distinct environmental characteristics. However, previous studies often treat these regions separately, missing the opportunity to compare their winter CO2 emissions within a unified framework. Here, we synthesized 2,487 monthly CO2 flux measurements from 166 in-situ sites to quantify the spatial and temporal variations and key drivers of winter CO2 emissions in these two regions. Our analysis reveals that combined winter emissions from the Arctic and Tibetan Plateau are estimated to be 1,289 ± 25 Tg C yr-1. From 1982 to 2022, winter CO2 emissions increased by 2.10 ± 0.23 Tg C yr-1. Notably, since 2001, winter CO2 emissions have surged in the Arctic while declining in the Tibetan Plateau. The driving factors also differ: soil temperature dominates in the Arctic (51%), whereas soil moisture plays the most significant role on the Tibetan Plateau (33%). These findings highlight the contrasting mechanisms governing winter carbon emissions in these regions and underscore the importance of incorporating region-specific factors when predicting permafrost-carbon feedbacks in a warming world.

How to cite: Wei, Y., Mu, C., Chen, D., Mo, X., Elberling, B., Zhang, W., Zhang, G., Zhang, C., Li, K., Li, X., Shi, M., Mu, M., Wang, X., Wei, D., Dou, T., Du, X., Peng, X., Jin, Y., Xiao, J., and Ciais, P.: Global warming driving increased winter CO2 emissions in the Northern Hemisphere permafrost region, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20267, https://doi.org/10.5194/egusphere-egu26-20267, 2026.

EGU26-21349 | Posters on site | BG3.17

Modeling year-round CO₂ fluxes and winter subsurface CO₂ dynamics in an Arctic heath ecosystem, West Greenland 

Wenxin Zhang, Birgitte Danielsen, and Bo Elberling

Carbon exchange in Arctic ecosystems shows strong seasonality, yet winter processes remain poorly constrained despite their potential importance for annual carbon budgets. In permafrost regions, CO₂ produced in the active layer during late summer and autumn may accumulate beneath frozen soil and snow cover, when gas diffusion to the atmosphere is restricted. Observed wintertime increases in subsurface CO₂ concentrations therefore raise the question of whether they primarily reflect reduced diffusivity or enhanced CO₂ production under relatively warm subnival conditions.

We combined year-round eddy covariance measurements of ecosystem CO₂ exchange, growing-season chamber flux observations, and winter subsurface CO₂ concentration profiles from an Arctic heath ecosystem on Disko Island, West Greenland, to constrain the process-based CoupModel. The model represents soil CO₂ production and transport as functions of soil temperature, moisture, air-filled porosity, and CO₂ concentration, allowing winter physical controls on gas diffusion to be explicitly evaluated.

The calibrated model reproduces observed vertical soil CO₂ concentration patterns between 10 and 80 cm depth as well as the seasonal dynamics of ecosystem CO₂ fluxes. Simulations indicate that elevated winter subsurface CO₂ concentrations are largely explained by reduced gas diffusivity in frozen and snow-covered soils, while the direct influence of high CO₂ concentrations on production rates is limited. Laboratory measurements of CO₂ diffusion under frozen and unfrozen conditions support the strong sensitivity of gas transport to changes in air-filled porosity.

Interannual variability in snow conditions exerts a strong control on non-growing-season CO₂ emissions. Winters with unusually deep snowpacks show substantially higher CO₂ efflux, reducing the annual net CO₂ sink. In contrast, warmer and wetter growing seasons enhance both gross primary production and ecosystem respiration, partially compensating for increased winter losses. These results underline the importance of winter soil physical processes for Arctic carbon dynamics and illustrate how combining observations with process-based modelling can improve estimates of year-round CO₂ exchange.

How to cite: Zhang, W., Danielsen, B., and Elberling, B.: Modeling year-round CO₂ fluxes and winter subsurface CO₂ dynamics in an Arctic heath ecosystem, West Greenland, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21349, https://doi.org/10.5194/egusphere-egu26-21349, 2026.

EGU26-21405 | ECS | Posters on site | BG3.17

Permafrost peatland dynamics during the Holocene: evidence of palsa transformation at Šuoššjávri, northern Norway 

Harry Roberts, Michał Słowiński, Katarzyna Marcisz, Piotr Kołaczek, Daniel Coathup, Anders Lyngstad, Jan Kucharzyk, Mateusz Grygoruk, and Mariusz Lamentowicz

As scientists continue to better understand climate change, it is becoming increasingly apparent that ecosystems around the polar regions are warming at an accelerating rate. This poses a particular problem for climate-sensitive ecosystems, particularly permafrost peatlands. Permafrost peatlands are an exceptionally important ecosystem for carbon storage. representing ~45% of soil organic carbon in northern peatlands; however, as cooler conditions are imperative for preserving carbon-rich permafrost sediment, these peatlands are extremely vulnerable to warming. Degradation of permafrost peatlands could be damaging, as thawing permafrost turns the ecosystem into a source of carbon dioxide (CO2), and subsequent waterlogging of the surface can increase methane. The long-term effects of permafrost degradation remain uncertain; as warming trends continue, permafrost thaw is expected to create a positive feedback loop which would further accelerate climate change. However, thawed permafrost peatlands also have the potential to create a negative feedback loop; productivity and peat/carbon accumulation rates can benefit from the increased nutrient availability and the proliferation of wetland habitats resulting from thawed permafrost.

The focus of this study is Šuoššjávri, a palsa mire located in northern Norway, within the discontinuous permafrost zone. Our project aims to assess the formation/collapse of palsas, their relationships with fire regimes and climate change, and their impacts on in-situ vegetation and carbon storage. We collected three peat cores in a ~10m transect from the top of a palsa to a thermokarst pond, around 3m apart. These cores were analysed using multiple palaeoecological proxies at high resolution (1 cm contiguous samples), to reconstruct past fire frequency, vegetation, hydrological change, and carbon storage over the past ~5000 years.

We hypothesise that (1) regional climatic warming has accelerated palsa degradation at Šuoššjávri, expressed through coupled shifts in ground subsidence, hydrological regime, vegetation composition, and a long-term decline in carbon accumulation; (2) hydrological reorganisation, reconstructed from plant macrofossils and peat physicochemical properties, is the dominant mechanism controlling vegetation succession during palsa destabilisation and collapse; and (3) early warning signals of an approaching critical transition—manifested as local wetting, directional vegetation change, and transient increases in carbon accumulation—systematically precede major palsa collapse events in the palaeoecological record.

This study is funded by NCN project no. 2021/41/B/ST10/00060

How to cite: Roberts, H., Słowiński, M., Marcisz, K., Kołaczek, P., Coathup, D., Lyngstad, A., Kucharzyk, J., Grygoruk, M., and Lamentowicz, M.: Permafrost peatland dynamics during the Holocene: evidence of palsa transformation at Šuoššjávri, northern Norway, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21405, https://doi.org/10.5194/egusphere-egu26-21405, 2026.

SSS9 – Soil, Forestry and Agriculture

EGU26-217 | ECS | Orals | SSS9.1

Paradise lost? A case for (re)-introducing trees in the enset farming systems of the Ethiopian rift 

Admasu Yirgalem Bireda, Gezahegn Garo Gale, Rony Swennen, Maarten Everaert, Sabura Shara, Bart Muys, Olivier Honnay, and Karen Vancampenhout

Abstract

Global food insecurity is on the rise, having worsened since 2015 primarily due to conflicts and climate-related extremes, and jeopardizing the UN Sustainable Development Goal of zero hunger by 2030. Especially in sub-Saharan Africa, where the population is estimated to double by 2050, food demand is expected to increase by 3.9 percent annually. It is essential to increase agricultural production sustainably, without undermining the ecosystems’ capacity to sustain human well-being. In this context, neglected/orphan crops are gaining attention as an avenue to alleviate food insecurity. These crops are often produced under subsistence farming and have gained less attention from the scientific communities. Enset (Ensete ventricosum), a multipurpose, perennial, herbaceous-like plant domesticated only in Ethiopia, is a prime example of an underexploited crop. Although a model enset-based homegarden agroforestry exists, it is mainly produced as a monocrop in most Ethiopian regions, which exposes the crop to stressors such as climate extremes, soil fertility imbalance, and diseases. In certain regions, scattered agroforestry tree species exist inside enset farms, while information on the tree species' potential benefits and ensets’ response to tree canopy shade is not well documented.   Our study examined how scattered trees in enset farms affect the microclimate and soil properties and evaluated the phenotypic responses of ensets.  The trees significantly reduced the daily air, soil surface, and soil temperatures, ranging from -0.5 to -1.9 °C, -0.4 to -2.1 °C, and +0.4 to -1.0 °C, respectively, and maintained the minimum soil moisture by +0.8% to +5.7% compared to open areas. On the other hand, although the tree species had high-quality leaf litter, their effect on the soil fertility indicators was minimal. However, our on-field observation suggests that the old big trees improved total carbon, C/N ratio, cations (Ca2+), and CEC, suggesting the importance of conserving the already existing trees besides planting the new ones. Moreover, our observations on enset phenotypic response to the changing microenvironment by tree canopy covers revealed that enset can adapt to a new environment through plastic responses. Overall, our findings suggest that introducing woody trees into the enset farming system can enhance enset productivity by preventing extreme heat and frost and enhancing soil quality. Besides, they can help to reduce landslide risks commonly affecting farmers in the region.

Key words: Enset, Trees, Microclimate, Soil fertility, Phenotypic plasticity

How to cite: Bireda, A. Y., Gale, G. G., Swennen, R., Everaert, M., Shara, S., Muys, B., Honnay, O., and Vancampenhout, K.: Paradise lost? A case for (re)-introducing trees in the enset farming systems of the Ethiopian rift, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-217, https://doi.org/10.5194/egusphere-egu26-217, 2026.

EGU26-1763 | ECS | Posters on site | SSS9.1

Hyperspectral imaging for detection of russet mite infestation and drought stress in the greenhouse tomato cultivation 

Yukiko Nakamura, Tobias Kreklow, Maximilian Hachen, Dominik Wuttke, and Elias Böckmann

The importance of automated stress monitoring is growing, as early detection of infestation events can significantly reduce yield losses and the use of chemical synthetic plant protection products. This approach aligns with the agricultural policies of the European Union and Germany.

Hyperspectral Imaging (HSI) is a key non-destructive technique for detecting plant stress and identifying symptoms of pest infestations and abiotic stress. While demand for HSI applications is increasing, its practical implementation remains challenging. Most existing studies have been conducted under controlled laboratory conditions, limiting direct transferability to real-world environments such as greenhouses.

In greenhouse settings, uncontrolled factors—for instance variable ambient light and plant self-shadowing—pose significant challenges to accurate spectral measurements. To address these issues, this study utilized a VNIR hyperspectral camera (500–1000 nm) with an integrated VNIR broadband LED illumination system to ensure consistent lighting conditions. We collected spectral data from tomato plants affected by russet mite infestation and drought stress under real greenhouse conditions.

The data were processed using key vegetation indices which were calculated and analysed to identify spectral signatures associated with stress symptoms. Additionally, machine learning algorithms were applied to develop predictive models for early stress detection.

In our project, we are performing this approach to include a broader range of plant stresses—including different pests, pathogens, and abiotic stressors—to enhance the robustness and generalizability of the detection system. The ultimate goal is to improve precision crop management in greenhouses through early, automated, and non-destructive stress monitoring.

In the poster, the current results from the russet mite and drought stress trials will be presented. The poster shows the effectiveness of vegetation indices, spectral responses, and model performance, in distinguishing stress types based on the two aforementioned stressors.

How to cite: Nakamura, Y., Kreklow, T., Hachen, M., Wuttke, D., and Böckmann, E.: Hyperspectral imaging for detection of russet mite infestation and drought stress in the greenhouse tomato cultivation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1763, https://doi.org/10.5194/egusphere-egu26-1763, 2026.

EGU26-2173 | ECS | Posters on site | SSS9.1

Assessment of agro-ecosystem services under contrasting tillage and residue management in rice–wheat system of Lateritic soils 

Prithwiraj Dey, Soham Rana, Dillip Kumar Swain, and Priya Bhattacharya

Arable lands support food production alongside a range of agro-ecosystem services (AES), yet widespread degradation has resulted from their continued exploitation.  Within this context, conservation agriculture (CA) has emerged as a potential resource-conservation technology (RCT) to improve system performance and mitigate environmental costs. However, evidence on how conventional and CA-based practices shape the full spectrum of agro-ecosystem services remains limited for rice–wheat systems of tropical and subtropical regions, particularly within lateritic belts where soils are inherently vulnerable. To address this gap, a multi-year experiment (2022–2025) was conducted to evaluate the effect of varying tillage regimes and residue management practices on AES offered by rice-wheat systems on lateritic soils. Rice establishment comprised zero-tilled direct-seeded rice (ZTDSR) and transplanted rice (TPR), including variants with alternate wetting and drying (TPRAWD), while wheat was established under zero tillage (ZTW) or conventional tillage (CTW) with rice residue retention (RR), incorporation (RI), or no residue. Results from the study showed that provisioning AES attained the maximum value in case of ZTDSR-ZTW(RR) for both rice (US$ 1322 ha-1 season-1) and wheat (US$ 977 ha-1 season-1). Regulatory AES values ranged from US$ 397 ha-1 y-1 (TPR-CTW) to US$ 489 ha-1 y-1 (ZTDSR-ZTW (RR). The monetary values of soil parameters influencing regulatory AES under CA followed the trend ZTDSR-ZTW(RR) > ZTDSR-CTW(RI) > ZTDSR-CTW, where CA-based practices exhibited 1.54-8.5% and 2.71-19.9% higher AES values compared to conventional (TPR-CTW) in rice and wheat seasons, respectively. The results of supporting AES which comprised of soil fertility, N mineralization, air purification etc. were observed to be US$ 509 and US$ 328 ha-1 season-1 for rice and wheat, respectively. ZTDSR-ZTW(RR) exhibited highest economic value of soil fertility (US$ 8.73 ha-1 season-1) followed by ZTDSR-CTW(RI) (US$ 3.77 ha-1 season-1), TPRAWD-ZTW(RR) (US$ 5.79 ha-1 season-1) and ZTDSR-CTW (US$ 1.39 ha-1 season-1) averaged for both rice and wheat seasons. With regard to ecosystem disservices, plots managed under ZTDSR-ZTW(RR) resulted in 41 and 28% higher direct emissions for rice and wheat season, respectively, than that of ZTDSR-CTW. The CH4 emissions were largely prevalent in rice season and exerted the most negative impact for TPR-CTW(RI) in economic terms (US$ -31.29 ha-1 y-1) while the least was observed for ZTDSR-ZTW (RR) (US$ -0.07 ha-1 y-1). Similarly, CA-based treatments showed 61 and 72% lower soil-erosion-based environmental costs than conventionally cultivated treatments in rice and wheat seasons, respectively. Considering all ES together, the net AES value extended from US$ 3657 to US$ 4544 ha-1 y-1, with ZTDSR-ZTW being highest (US$ 4544 ha-1 y-1) followed by TPRAWD-ZTW(RR) (US$ 4343 ha-1 y-1) and ZTDSR-CTW(RI) (US$ 4155 ha-1 y-1) and TPR-AWD being the lowest (US$ 3657 ha-1 y-1). These results indicate that ZTDSR-ZTW (RR) can potentially be better RCT for improved net AES offered by agricultural systems in lateritic soils and can be included in policy intervention to achieve sustainability of these ecologically fragile tracts.

How to cite: Dey, P., Rana, S., Swain, D. K., and Bhattacharya, P.: Assessment of agro-ecosystem services under contrasting tillage and residue management in rice–wheat system of Lateritic soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2173, https://doi.org/10.5194/egusphere-egu26-2173, 2026.

Soils constitute a central component of the Earth’s Critical Zone, and agricultural land is a strategic resource essential for ensuring national food security, maintaining ecological stability, and supporting rural revitalization. In the context of rising global food security challenges and increasing land-use constraints, scientifically assessing soil agricultural suitability is vital for shaping agricultural production patterns that align with natural geographical structures and agricultural production laws. Responding to the national food security strategy, this study develops a systematic, standardized, and scalable framework for soil agricultural suitability assessment based on the ongoing Third National Soil Survey of China. The framework is applied at the national scale and validated through full-process practice in representative pilot counties.

The study establishes a technical specification system encompassing an evaluation index system, classification standards, and mapping procedures, and clarifies the hierarchical evaluation logic and deliverables from county to municipal and provincial levels. National-scale results show that climate- and landform-driven macro-geographical patterns largely determine the spatial boundaries and suitability grades of different agricultural land types. Significant regional differences are observed in the optimization potential and structural adjustment of cropland, forestland, and grassland, while the availability of effective reserve arable land remains limited, underscoring the need for refined spatial planning and strict protection. Validation in typical pilot counties demonstrates that the proposed framework is scientifically robust, operationally feasible, and capable of transforming soil survey data into practical decision-support products for cropland optimization and agricultural spatial restructuring. This provides a clear and implementable technical pathway for local agricultural land-use planning.

Overall, the research presents a comprehensive and scalable full-process solution for soil agricultural suitability assessment. It highlights the foundational and strategic value of nationwide soil survey data in supporting macro-level policy decisions, safeguarding agricultural productivity, and advancing sustainable agricultural development. The framework also offers a referenceable model for countries or regions with large-scale agricultural production needs, providing scientifically grounded and practical pathways to alleviate human–land conflicts and enhance the efficiency of land resource allocation.

How to cite: Wu, K., Feng, Z., and Li, J.: Technical Approaches and Practices for Assessing Agricultural Suitability of Soils in China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2912, https://doi.org/10.5194/egusphere-egu26-2912, 2026.

This research aims to scientifically understand and assess the resilience of the cultivated land resource system in the black soil region and the pressures it is facing, in order to provide scientific basis for the protection and sustainable utilization of black soil. This study, taking the black soil region of Northeast China as a case study, establishes a comprehensive evaluation system for arable land resource resilience based on the Earth's Critical Zone theory, encompassing multi-sphere elements. Concurrently, it assesses the socio-economic disturbance pressures on the arable land system from three dimensions: production, economy, and ecology. Finally, through two-dimensional graph theory clustering of resilience-disturbance, the black soil region is categorized into six distinct zones. The findings reveal: (1) The resilience scores of arable land resources in the Northeast black soil region range from 50.21 to 96.01, indicating generally high resilience with significant spatial heterogeneity, exhibiting a "high in the northeast, low in the southwest" pattern; (2) Socio-economic disturbance scores vary between 37.52 and 91.24, showing marked differences and an overall "low in the north, high in the south" distribution; (3) The Northeast black soil region is classified into six zones: resource input zone, key enhancement zone, optimized utilization zone, stable production conservation zone, remediation improvement zone, and ecological control zone, with tailored strategies for each zone. This research elucidates the theoretical framework of the Earth's Critical Zone and arable land resource resilience, constructs a "surface-subsurface" integrated resilience evaluation index system, and establishes a resilience-disturbance zoning framework. The results provide valuable guidance for the protection and sustainable utilization of black soil regions.

How to cite: Feng, Z., Wu, K., and Li, J.: Cultivated Land Resource Resilience Evaluation and Zoning in the Northeast Black Soil Region Based on, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2927, https://doi.org/10.5194/egusphere-egu26-2927, 2026.

EGU26-3117 | Orals | SSS9.1

Detecting vineyards using multispectral UAV imagery and artificial intelligence: A case study from Northern Greece 

Christos Asimakopoulos, George P. Petropoulos, Giannis Saitis, Spyridon E. Detsikas, Niki Evelpidou, Konstantinos Grigoriadis, Vassilios Polychronos, Elisavet-Maria Mamagiannou, and Antonis Litke

The recent technological advancements in the field of Unmanned Aerial Vehicles (UAVs) and Artificial Ιintelligence (ΑΙ) have led to their widespread adoption across different sectors of agriculture. In particular, there has been a growing interest in the application of these technologies in viticulture, but their operational implementation and validation under diverse environmental and management conditions remain limited. To this end, the evaluation of different AI methodological frameworks for vine detection across different settings constitutes an important step for the sufficient and cost-effective deployment in real-world vineyards.

Our study aims at contributing towards this direction by evaluating different segmentation approaches for vines detection tested in a real-world vineyard of Ktima Lazaridi vinery located in the prefecture of Drama, Macedonia, Northern Greece.  The vineyard acting as the study’s experimental site spanned across approximately 4.94 hectares and consisted of Sauvignon Blanc vines. In this site, multispectral imagery was acquired at 40 meters Above Ground Level (AGL) on 30 July 2025 from a UAV equipped with a high-definition RGB camera, a red-edge and Near infrared bands. Experiments were performed using state-of-the-art segmentation methods such as Segment Anything Model (SAM) and object-based image analysis frameworks using multimodal UAV imagery (RGB, NIR, Red Edge bands, Vegetation Indices). Standard statistical metrics were employed to quantitatively assess the modelling results using as reference ground truth masks generated with direct photointerpretation. ArcGIS Pro was used for the implementation of the AI algorithms as well as for the evaluation of the experimental analysis.

Our study findings suggest that UAV-based multimodal imagery combined with advanced AI algorithms, can serve as a cost-effective and scalable solution for vineyard monitoring, management, and decision-making. Future work will focus on evaluating these methods under different grape varieties, phenological stages, and environmental conditions to further generalize their applicability and optimize vineyard management strategies.

Keywords: UAVs, Artificial Intelligence, SAM, Vineyards, ACCELERATE

Acknowledgement

This study is financially supported by the ACCELERATE MSCA SE program of the European Union’s Horizon research and innovation program under grant agreement No. 101182930

How to cite: Asimakopoulos, C., Petropoulos, G. P., Saitis, G., Detsikas, S. E., Evelpidou, N., Grigoriadis, K., Polychronos, V., Mamagiannou, E.-M., and Litke, A.: Detecting vineyards using multispectral UAV imagery and artificial intelligence: A case study from Northern Greece, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3117, https://doi.org/10.5194/egusphere-egu26-3117, 2026.

EGU26-3140 | Posters on site | SSS9.1

Telomere length as a genomic biomarker of well-being in grapevines: a two-year study in Aglianico grapevine. 

Alessandra Iannuzzi, Ramona Pistucci, Arturo Erbaggio, Rossella Albrizio, Filippo Accomando, Maria Liccardo, and Antonello Bonfante

Molecular biomarkers are increasingly used in agriculture to provide objective indicators of plant health and responses to environmental stress. In grapevine (Vitis vinifera L.), genomic biomarkers are particularly valuable as they integrate physiological and environmental information. Among these, telomere length has emerged as a rapid and cost-effective biomarker, already applied in several plant and animal systems.

Telomeres are repetitive DNA sequences located at chromosome ends that preserve genomic stability and are known to respond dynamically to aging and stress conditions. In this study, telomere length was quantified by quantitative real-time PCR (qPCR), using a grapevine-specific single-copy reference gene to ensure reliable measurements.

The protocol was applied to Aglianico grapevines subjected to different water regimes (irrigated and non-irrigated) under identical soil conditions in a high-quality wine production area of southern Italy (Taurasi DOCG area, Tenuta Donna Elvira, Montemiletto, AV). Results obtained over two consecutive growing seasons allowed evaluation of telomere length dynamics across years. Consistent differences associated with water regime were observed between seasons, supporting telomere length as a sensitive indicator of vine well-being and environmental pressure.

These findings strengthen the potential of telomere length as a genomic biomarker for long-term monitoring of grapevine health under climate-related stress conditions.

How to cite: Iannuzzi, A., Pistucci, R., Erbaggio, A., Albrizio, R., Accomando, F., Liccardo, M., and Bonfante, A.: Telomere length as a genomic biomarker of well-being in grapevines: a two-year study in Aglianico grapevine., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3140, https://doi.org/10.5194/egusphere-egu26-3140, 2026.

EGU26-6430 | Posters on site | SSS9.1

Crop-Parameter Identification through Bayesian analysis for Regional-Scale Yield Estimation with AquaCrop 

Kai Kono, Daisuke Tokunaga, and Hiroaki Kawata

In building an environmentally harmonized food system, it is essential to examine measures to stabilize food production under climate change, grounded in quantitative evidence. This requires a framework that quantifies the impacts of climate change on crop production and utilizes those results to design crop production strategies. Approaches that estimate changes in yield with crop production models are widely used and are effective for identifying national-scale trends. However, uncertainty in regional-scale future projections persists because region-specific characteristics, such as soil conditions and farming practices, are not sufficiently represented. In addition, in process-based models, it is often difficult to define the numerous parameters governing crop growth in ways that are consistent with local soil and management conditions, and this parameter uncertainty strongly influences projections.

In this study, we performed Bayesian calibration of crop-file parameters in AquaCrop [1] using the Markov Chain Monte Carlo (MCMC) method to address the practical difficulty of specifying model parameters consistent with local conditions. To support this calibration, we developed a method to generate a region-specific characteristic dataset by integrating climate drivers with soil information as regional characteristics. AquaCrop, a process-based crop model developed by the Food and Agriculture Organization of the United Nations (FAO), was driven by daily maximum and minimum temperature, precipitation, and ETo. Climate forcing was obtained from historical data, and soil characteristics were derived from the Japanese Soil Inventory [2] provided by the National Agriculture and Food Research Organization (NARO), including soil maps and gridded property layers (e.g., saturated hydraulic conductivity and water-retention metrics such as pF-based water contents and available water capacity). We harmonized the coordinate systems of the climate and soil datasets and implemented a data-generation procedure to produce climate-grid-consistent regional inputs. This enables multi-year, multi-site calibration of crop parameters and subsequent yield simulations under local conditions.

Furthermore, to estimate key crop-file parameters from observations, we developed robust procedures for preparing daily weather time series. This includes standardizing the required variables and performing Bayesian estimation via MCMC. Using multi-year observed yields, we estimate posterior distributions of major crop parameters and quantify associated uncertainty. Using the developed system, we validate it with historical data and conduct yield projections under temperature-increase conditions, enabling evaluation of the contributions of climate warming and soil-mediated regional differences to yield changes.  By combining an integrated regional input data foundation with explicit treatment of crop-parameter uncertainty, this framework provides a basis for improving the reliability of regional-scale future projections.

[1] FAO (2024) AquaCrop, Version 7.2. Food and Agriculture Organization of the United Nations

[2] NARO, https://soil-inventory.dc.affrc.go.jp/

How to cite: Kono, K., Tokunaga, D., and Kawata, H.: Crop-Parameter Identification through Bayesian analysis for Regional-Scale Yield Estimation with AquaCrop, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6430, https://doi.org/10.5194/egusphere-egu26-6430, 2026.

EGU26-7358 | ECS | Posters on site | SSS9.1

Unveiling the Invisible Ecological Cost: Seasonal Biodiversity Footprint of Crop Rotation in China 

Qiankun Niu and Dandan Zhao

Multiple cropping systems are widely adopted as a key climate adaptation strategy to ensure food security in China, however, they also impose significant pressure on freshwater ecosystems. While trade-offs between yield and water use are well-documented, the spatiotemporal impacts of specific rotation systems on aquatic biodiversity remain poorly quantified at fine spatial scales. To address this, we present a high-resolution framework integrating 30m-resolution crop rotation maps with monthly gridded characterization factors to quantify the potential fraction of species loss (PDF) at the grid level. This approach specifically distinguishes the impacts of seasonal rotation patterns from annual aggregates. We anticipate three key findings: (1) the identification of seasonal biodiversity hotspots driven by groundwater reliance in winter; (2) a quantification of the biodiversity leakage or savings resulting from China’s Crop Rotation and Fallow Policy; and (3) the revelation of spatial mismatches between agricultural intensification and ecosystem vulnerability. By shifting from a static, national-level perspective to a dynamic, spatially explicit one, this study underscores the urgency of incorporating seasonal biodiversity footprints into climate-smart agricultural policymaking to achieve food targets with ecosystem integrity.

How to cite: Niu, Q. and Zhao, D.: Unveiling the Invisible Ecological Cost: Seasonal Biodiversity Footprint of Crop Rotation in China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7358, https://doi.org/10.5194/egusphere-egu26-7358, 2026.

EGU26-7828 | ECS | Posters on site | SSS9.1

How Repeatable Is Gamma-Ray Spectrometry for Agricultural Soil Mapping? Preliminary results and future perspective. 

Marco Benfenati, Francesco Vinzio, and Gabriele Baroni

Detecting spatial variability and delineating management zones are key steps in supporting good agricultural practices and promoting precision agriculture. In this context, proximal soil sensing techniques, such as gamma-ray spectrometry, have shown promising potential over the last decades. However, their application is not yet fully standardized, and their performance has not always been consistent across the studies conducted to date.

In this study, a novel gamma spectrometer prototype equipped with a 1-L NaI(Tl) scintillator was used to characterize soil properties spatial variability at two experimental sites in the Emilia-Romagna region (Italy). The first site is a 13-ha bi-varietal vineyard with permanent grass cover, whereas the second site is a 60-ha walnut orchard, also grass-covered. During each survey counts associated with the emissions of the radionuclides 40K, 232Th, and 238U, as well as total gamma counts, were acquired using a window-analysis approach. The collected data were subsequently processed within a GIS environment and statistical analyses were performed using R software.

At the first site, different surveys were carried out, both in mobile on-the-go mode and in mobile stop-and-go mode. The on-the-go surveys exhibited satisfactory repeatability for total gamma counts, whereas the spatial patterns of individual radionuclide emissions showed limited repeatability. The delineation of homogeneous zones based on total gamma counts was consistent with soil texture analyses; however, an inverse relationship was observed compared to that commonly reported in literature, with higher gamma counts corresponding to areas with higher sand content. The stop-and-go survey yielded results consistent with both the zoning derived from the on-the-go surveys and the textural analysis but only for total gamma counts. The low variability of measurements collected at the same location appears to indicate greater precision and, consequently, higher repeatability for this acquisition mode; however, its main drawback is the loss of spatial resolution compared to the on-the-go approach.

At the second site, an on-the-go survey conducted along a transect showed strong agreement with the 1:50,000 soil map of the Emilia-Romagna region and with laboratory-based texture analyses, both in terms of spatial discontinuities and relationship between soil texture and gamma counts.

Future developments of this research will include the extension to additional study sites, the development of a soil-moisture-based correction model for spatialized gamma counts and the refinement of count-extraction methods for individual radionuclides.

How to cite: Benfenati, M., Vinzio, F., and Baroni, G.: How Repeatable Is Gamma-Ray Spectrometry for Agricultural Soil Mapping? Preliminary results and future perspective., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7828, https://doi.org/10.5194/egusphere-egu26-7828, 2026.

EGU26-8929 | ECS | Orals | SSS9.1

Maize drought responses across experimental scales: linking above- and belowground traits   

Jessica Thiel, Andreas J. Wild, Saniv Gupta, Alica Heid, Manuel Geyer, Jennifer Groth, Tillmann Lüders, Mohsen Zare, Johanna Pausch, and Martin Wiesmeier

Drought stress is an increasingly dominant constraint on maize (Zea mays L.) production under changing climatic conditions. While modern hybrid varieties are optimized for high yield potential, their performance often declines under variable and limited water availability. This limitation is particularly pronounced during early developmental stages. In contrast, maize landraces may express adaptive root and rhizosphere traits; however, the consistency of these responses across contrasting environmental conditions remains poorly understood. In this study, we investigated variety-specific drought responses in maize by integrating controlled greenhouse experiments with complementary field trials. In a high-throughput phenotyping facility, six maize varieties representing contrasting breeding histories were grown under five distinct water regimes and two soil types. We quantified growth dynamics of above- and belowground biomass, functional root and shoot traits including plant height, biomass allocation, and root morphological properties, as well as physiological responses to characterize drought-response strategies under controlled conditions. To date, the data suggests pronounced soil-type effects on root and shoot traits. In addition, variety-specific patterns emerge for selected above- and belowground traits across the two soil types. Additionally, field experiments were established at four sites in Bavaria to assess genotype performance under realistic agronomic conditions, representing contrasting precipitation and soil textures. To enhance information gain, the field trials included both single-variety and variety-mixture systems, in which maize genotypes with contrasting drought-response strategies were grown either individually or in two-genotype mixtures within the same plot allowing potential genotype interactions under field conditions to be evaluated. By focusing on greenhouse-based trait expression while embedding the study in a field context, this work aims to identify root and rhizosphere traits associated with drought responses and to evaluate their relevance across contrasting environmental conditions. The results contribute to a mechanistic understanding of maize drought adaptation and explore the potential of landraces as genetic resources for the development of maize varieties suited to increasingly dry and variable climates.

How to cite: Thiel, J., Wild, A. J., Gupta, S., Heid, A., Geyer, M., Groth, J., Lüders, T., Zare, M., Pausch, J., and Wiesmeier, M.: Maize drought responses across experimental scales: linking above- and belowground traits  , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8929, https://doi.org/10.5194/egusphere-egu26-8929, 2026.

EGU26-10901 | ECS | Orals | SSS9.1

Efficacy of the Complex Bioproduct Sclerocid® and its Microbial Constituents against White Rot and Associated Soil-Borne Pathogens 

Yaroslava Bukhonska, Valentyna Bolokhovska, Olga Nagorna, Nataliya Voloshchuk, Vladyslav Bolokhovskyi, Oksana Sterlikova, Tetiana Khomenko, and Vira Boroday

Climate change represents a major challenge for agricultural production today. Sclerotinia sclerotiorum (Lib.) de Bary is a necrotrophic pathogen capable of affecting over 500 species of dicotyledonous plants, leading to severe global economic losses. S. sclerotiorum also has developed highly resilient structures—sclerotia—that make this pathogen extremely difficult to control, as they can remain viable in the soil for 4-10 years. This study investigated the efficacy of the multicomponent bioproduct Sclerocid® as a science-based strategy for improving agroecosystem resilience.

Research on the reproductive potential of S. sclerotiorum revealed that under favorable conditions, it can form up to 6 generations of sclerotia, with each mother structure capable of producing approximately 20 daughter sclerotia. Experiments using successive transfers on potato dextrose agar medium recorded specific counts of 31, 30, 18, 19, 20, and 18 new sclerotia per generation, respectively. New sclerotia appear on days 3–4 and reach full maturity by day 7. Furthermore, sclerotia in the soil act as ecological reservoirs for other pathogens, including the genera Aspergillus, Fusarium, and Penicillium, which increases the overall disease pressure on host plants.

Since the superior ability of S. sclerotiorum to persist in the soil makes it difficult to control with conventional pesticides, biocontrol agents represent a promising strategy. Consequently, the biofungicide Sclerocid®, based on a microbial consortium with antagonistic properties, was developed by the BTU Biotech company. The decision to test a microbial consortium was made due to the robustness and synergistic interactions of multi-strain communities. While highly specialized mycoparasites like Paraphaeosphaeria minitans effectively destroy sclerotia, they have a narrow host range and do not control the associated soil-borne pathogens. By combining compatible strains of Trichoderma and Bacillus species, the inhibitory action of the consortium significantly exceeds that of individual monocultures.

The efficacy of Sclerocid® is based on the activities of its specific microbial constituents. Paraphaeosphaeria minitans IMV F-100120 acts as a specialized hyperparasite, colonizing sclerotia and forming pycnospores that lead to their degradation. Trichoderma harzianum IMV F-100097 is a broad-spectrum hyphal mycoparasite that effectively inhibits the growth of associated pathogens, including Alternaria alternata, Verticillium lateritium, Drechslera sorokiniana, and Cladosporium herbarum. Additionally, Bacillus subtilis IMV B-7678 and B. licheniformis IMV B-7778 produce a range of antifungal metabolites, with B. subtilis demonstrating 100% inhibition of S. sclerotiorum. The Sclerocid® consortium demonstrated high biocontrol efficacy, showing inhibition rates of 91.2–100% against S. sclerotiorum and effectively suppressing other pathogens such as Botrytis cinerea (80.4–100%) and Fusarium solani (74.2–100%). Furthermore, joint cultivation trials showed that the microbial component P. minitans could suppress the development of white rot mycelium for up to 35 days.

The synergistic action of the consortium—combining sclerotia hyperparasitism, hyphal degradation, and induction of systemic plant resistance—provides a sustainable and efficient biological solution to control phytopathogens and reduce pesticide load.

How to cite: Bukhonska, Y., Bolokhovska, V., Nagorna, O., Voloshchuk, N., Bolokhovskyi, V., Sterlikova, O., Khomenko, T., and Boroday, V.: Efficacy of the Complex Bioproduct Sclerocid® and its Microbial Constituents against White Rot and Associated Soil-Borne Pathogens, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10901, https://doi.org/10.5194/egusphere-egu26-10901, 2026.

EGU26-11667 | Posters on site | SSS9.1

Impact of Chamber Transparency on Soil-Derived Greenhouse Gas Flux Measurements Using FTIR Spectroscopy 

Sami Ketonen, Ola Szymon, and Sebastian Seiberlich

Soil-derived gases, including carbon dioxide, methane, nitrous oxide, ammonia, and carbon monoxide, are major contributors to greenhouse gas emissions. These gases, primarily biogenic in origin, are released from soils into the atmosphere, with concentrations influenced by factors such as temperature, humidity, photosynthetic activity, soil type, and location.

A key challenge in soil gas research is developing accurate, simple, and rapid methodologies for measuring soil fluxes directly in the field. Fourier-transform infrared (FTIR) spectroscopy is a recommended technology for this purpose, as it allows for precise quantification and speciation of gases at low concentrations, generating reliable datasets over short timescales.

In this study, soil gas fluxes were measured using a static chamber approach integrated with a closed-loop system. The static chamber method involves placing an open-ended chamber on the soil surface to accumulate emitted gases for analysis. Despite widespread use, the scientific community has not reached a consensus on the optimal chamber type for accurate flux measurements.

This research compares soil flux data obtained from transparent versus opaque chambers under identical environmental conditions. The results aim to inform best practices in chamber design and provide guidance for more accurate field measurements of soil-derived greenhouse gas emissions.

How to cite: Ketonen, S., Szymon, O., and Seiberlich, S.: Impact of Chamber Transparency on Soil-Derived Greenhouse Gas Flux Measurements Using FTIR Spectroscopy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11667, https://doi.org/10.5194/egusphere-egu26-11667, 2026.

EGU26-11778 | Posters on site | SSS9.1

Innovative Methods for Assessing Drought Tolerance in Crop Varieties: Towards Sustainable VCU Testing in Austria 

Anna Wawra, Martin Fuchs, Stefano D'Amico, and Heide Spiegel

Progressive climate change is affecting agriculture in many ways. Increasing yield fluctuations and crop failures in particular are placing an economic burden on farmers. In addition, the general supply of sufficient high-quality agricultural products is also at risk. A key aspect is the increasing drought stress, which is noticeable across large areas and in various crop types. In Austria, Switzerland and Germany, temperatures have risen above average in global comparison. Since pre-industrial times, average temperatures in Austria have risen by 2.9°C, in Switzerland by 2.8°C and in Germany by 2.3°C. The summer months of June, July and August are particularly affected in Austria. Data collected by Statistics Austria on maize yields in the federal states already show a correlation between extreme temperatures – especially in August – and reduced yields. Global forecasts assume that today's maximum yield losses due to drought stress could become the new average within the next 30 years.

Against this background, the question arises as to how Austrian variety testing can adequately reflect this increasingly frequent abiotic stress in variety descriptions. A current attempt to classify the drought stress tolerance of varieties is the DROST research project (‘Methods for Evaluation of Drought Stress Tolerance in VCU Testing’). Using maize and winter wheat as examples, variety trials from the value assessment that are regularly affected by drought are to be intensively sampled. Soil moisture will be monitored using data loggers and relevant weather data will be collected. An extended soil analysis will provide information not only on nutrient supply and soil quality, but also on water retention capacity. In addition to the usual phenotypic surveys in the value assessment, multispectral indices on the leaves will also be measured using a handheld device. Drone flights will be used to record various parameters such as chlorophyll content, leaf discolouration and biomass. In order to also take physiological processes within the plants into account, the protein profile of the grains at different stages of maturity will be examined using high-resolution LC-MS/MS to identify relevant marker proteins for drought stress, mostly enzymes. The plan is to sample three locations per crop type in Austria's Pannonian Plain over a period of two years. In addition, five varieties per crop type will be specifically exposed to drought stress in a rainout shelter and compared with an adjacent control area. Additional phenotypic and proteomic surveys are also planned here. Finally, a SWOT analysis will be carried out to evaluate the various survey methods. The aim is to develop a sound perspective for the implementation of efficient methods for assessing drought stress tolerance in Austrian variety testing. This should particularly benefit farmers, who will be able to rely on reliable, officially tested results.

How to cite: Wawra, A., Fuchs, M., D'Amico, S., and Spiegel, H.: Innovative Methods for Assessing Drought Tolerance in Crop Varieties: Towards Sustainable VCU Testing in Austria, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11778, https://doi.org/10.5194/egusphere-egu26-11778, 2026.

EGU26-11988 * | Orals | SSS9.1 | Highlight

Synergistic photon-use in semi-transparent photovoltaic-photosynthesis systems for agrivoltaics 

Hugo de Boer, Raimon Terricabres-Polo, Steven Driever, Wilfried van Sark, Celso De Mello Donega, and Tinko Jans

Agrivoltaic systems integrate photovoltaic energy systems with agricultural practices on shared land. Installation of overhead photovoltaic devices can benefit crops in certain situations, for example by creating partial shade in high light environments, improving water-use efficiency due to microclimate effects, and protecting crops from extreme weather events. Nevertheless, integrating solar cells in agricultural systems imposes a fundamental constraint on biological productivity due to the partitioning of incident sunlight between either electricity generation or plants. Semi‑transparent photovoltaics present a promising technology for integrating solar energy production into agriculture and other multi‑use solar landscapes. However, current approaches to assessing the biological productivity of semi-transparent agrivoltaic systems are relatively slow as they typically rely on crop yields and therefore require full cropping cycles before results can be obtained.

Here, we present a lab‑scale experimental framework for combined measurements of photosynthesis and electric power generation on plant leaves positioned beneath a semi‑transparent photovoltaic panel. We present the results of simultaneous measurements of electricity generation and photosynthesis using four different semi‑transparent photovoltaic devices and two plant species exposed to a range of light intensities. To facilitate the interpretation of our combined measurements across photovoltaic devices and plant species, we developed a new metric termed Photon‑use Equivalent Ratio (PER). The PER conceptually resembles the Land Equivalent Ratio (LER) and expresses the combined photovoltaic-photosynthesis output of leaves underneath semi-transparent solar panels, relative to stand-alone non-transparent solar cells and stand-alone leaves. Notably, our results show that certain device-species combinations achieve synergistic photon use, with PER > 1.

Our experimental approach may guide innovation of semi-transparent photovoltaic devices towards synergy in electricity generation and photosynthesis. In a broader context, our finding that certain device-species combinations achieve synergistic photon use challenges the assumption that solar panels and crops fundamentally compete for light.

How to cite: de Boer, H., Terricabres-Polo, R., Driever, S., van Sark, W., De Mello Donega, C., and Jans, T.: Synergistic photon-use in semi-transparent photovoltaic-photosynthesis systems for agrivoltaics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11988, https://doi.org/10.5194/egusphere-egu26-11988, 2026.

The Mediterranean cropping systems continue to face drought risk, with the changing climate intensifying its effects. Adaptation strategies are essential and must be assessed for their efficacy to guarantee their sustainability and relevance in specific regions, thereby enhancing adoption and optimizing resource utilization. This study investigated two climate adaptation strategies, namely shifting planting date (mid-November, late-November, or early-December) and adjusted irrigation (full, 75%, 50%, 25% deficit irrigation (DI), and rainfed), in reducing drought-induced yield loss risk (i.e., the magnitude of the yield loss and the likelihood of its occurrence) for durum wheat in the two provinces of Basilicata (Matera and Potenza) in southern Italy.

The study employed crop and probabilistic modeling to simultaneously assess the effectiveness of shifting planting dates and irrigation adjustments while quantifying the yield loss risk caused by drought. The crop model, CSM-CERES Wheat, was utilized in simulating the yield at different management combinations initialized using the weather (1991–2023), soil, and management data. Copula functions were used to model the dependency structure between drought intensity and yield anomaly calculated from the simulated yield, allowing the assessment of drought-induced yield loss risk.

Drought-induced yield loss risk in Matera was characterized by a relatively high likelihood of experiencing yield reductions with probabilities ranging from 36.6% to 78.4%, whereas Potenza exhibited negligible to low probabilities with the exception for early-December planting under rainfed condition (i.e., 55.9%). Shifting the planting date to mid-November and increasing irrigation levels reduced the likelihood of drought-induced yield loss, with significant results observed in Potenza. In Potenza, planting durum wheat in mid- to late-November under rainfed conditions showed a low risk of yield loss due to drought. This suggests that durum wheat can be grown with little or no irrigation. However, in Matera, even with full irrigation, yield loss risk was marginally high during intense dry conditions.

In Matera under rainfed conditions, substantial yield loss estimates (i.e., 70% likelihood) for late-November and early-December planting were 0.1 and 0.7 t ha-1, respectively, for moderate drought severity (-0.84 > spei ≥ -1.28), while for exceptional droughts (spei < -2.33), yield loss estimates were 4.0 and 1.2 t ha⁻¹, respectively. In Potenza, substantial yield loss was only experienced for early-December planting under rainfed conditions during extreme  (-1.65 > spei ≥ -2.33) to exceptional drought, with estimated yield losses of 0.1 and 0.5 t ha⁻¹, respectively.

The results demonstrated that shifting the planting date to mid-November and implementing deficit and full irrigation largely mitigated drought‑induced yield loss risk in Basilicata, most notably in Potenza. Earlier planting and minimal irrigation in Potenza can help reduce yield loss risk due to drought. In Matera, on the other hand, early planting combined with full and deficit irrigation also mitigated the impact of drought except during extremely dry conditions, indicating additional or alternative adaptation strategies to cope with its impact.

How to cite: Chummac, A. and Bonaccorso, B.: Mitigating Drought-Induced Yield Loss Risk for Durum Wheat through Optimized Planting Schedule and Irrigation in Southern Italy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12892, https://doi.org/10.5194/egusphere-egu26-12892, 2026.

Cover cropping and diversified crop rotations are widely promoted as strategies to enhance soil carbon inputs and contribute to climate change mitigation. However, including additional crop cover could have detrimental impact of water use efficiency (WUE) and has not been sufficiently quantified under continuous field conditions. We evaluated two contrasting crop management systems over two full rotation cycles (2017–2022): a diversified winter wheat–corn–soybean rotation with cover crops and a conventional soybean–corn–soybean rotation without cover crops. Evapotranspiration (ET) was measured at half-hourly resolution using large weighing lysimeters at the Elora Research Station in Ontario, Canada. Analyses focused on the growing season (1 May–1 November), and cumulative seasonal ET was calculated for each lysimeter. Crop yield was measured annually, and WUE was calculated as the ratio of yield to cumulative ET. The experiment included 12 lysimeters across two soil types (silt loam and loamy sand). Across six growing seasons, cumulative ET ranged from 350 to 800 mm, yield from 903 to 13,203 kg ha¹, and WUE from 0.17 to 2.1 kg m³. Despite clear differences in management practices, ET, yield, and WUE did not differ significantly between the diversified and conventional systems in five of six years. In 2017, significant differences were observed between managements for ET in loamy sand soil and for yield and WUE in silt loam soil, largely reflecting differences in crop type between systems. In contrast, soil type consistently exerted a strong influence on ET, yield, and WUE across all years. These results suggest that, in the studied agroecosystem, there are minimal trade-offs between climate change mitigation benefits associated with cover crop use and the water-use efficiency of diversified cropping systems, with soil properties exerting dominant control on crop water use and productivity.

How to cite: Wagner-Riddle, C., Alamdar, S., Berg, A., Basu, N., and Dara, R.: Effects of diversified and conventional crop management on evapotranspiration, yield, and water-use efficiency measured with weighing lysimeters over six years, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14272, https://doi.org/10.5194/egusphere-egu26-14272, 2026.

EGU26-15533 | ECS | Posters on site | SSS9.1

Predictive modeling of wheat yield gaps using soil heavy Metals, climate, and Nutrient management in rainfed Morocco 

Nawal Bendou, Martin Jemo, Wietske Bijker, and Mariana Belgiu

Crop yield gaps in rainfed agricultural systems pose a persistent challenge to food security under increasing climate variability, particularly in semi-arid and Mediterranean regions. Although climate drivers, macronutrient inputs, and management practices are widely used to explain yield variability, the contribution of comprehensive soil chemistry to crop resilience remains insufficiently understood. This study assesses whether integrating heavy metals with conventional soil, climate, and management variables improves wheat yield gap modeling and supports agricultural adaptation strategies. Field surveys were conducted across 54 rainfed wheat sites in three Moroccan provinces (Meknes, Khemisset, and Settat) during the 2021 growing season. A total of 216 soil samples were analyzed for 25 physicochemical properties, including soil texture, macronutrients, micronutrients, and eight trace elements/heavy metals (Fe, Cu, Ni, Cd, As, Pb, Cr, Se). Climate data were derived from ERA5-Land, and farm management information was collected through farmer interviews. Yield gaps ranging from 2,000 to 4,000 kg ha⁻¹ were estimated using a 90th-percentile benchmark approach. To reduce dimensionality and identify the most relevant predictors, Boruta feature selection was applied prior to model training. The selected variables were then used to develop machine learning models (XGBoost, Random Forest, and Support Vector Regression) for yield gap prediction. Model performance was evaluated using cross-validation, and feature importance analysis was subsequently applied to interpret the contribution of individual predictors. Among the tested models, XGBoost achieved the highest accuracy (R² =0.64, RMSE =1,030 kg ha⁻¹). Growing season precipitation showed a strong negative relationship with yield gaps (r =−0.65), indicating that higher rainfall consistently reduced yield gaps and enhanced resilience in rainfed systems. Nitrogen inputs, represented by total N rate (r =−0.58) and NPK applied (r =−0.59), also had clear gapreducing effects, while phosphorus application exhibited a weaker but still negative relationship with yield gaps (r =−0.26). Among micronutrients, manganese showed a weak negative relationship with yield gaps (r =−0.30), with low to moderate concentrations associated with reduced yield gaps, consistent with its positive role in plant nutrition. In contrast, cadmium exhibited a positive relationship with yield gaps (r =+0.28), indicating a negative influence on crop performance and yield gap widening. These results suggest that trace elements capture soil chemical variability relevant to crop performance and resilience, likely through interactions with nutrient availability and soil buffering processes. Incorporating comprehensive soil chemistry into yield gap modeling enhances predictive performance and provides a more integrated basis for climate adaptation in rainfed agriculture.

Keywords: Yield gap analysis, predictive modeling, soil chemistry, heavy metals, machine learning, XGBoost, wheat, Morocco

How to cite: Bendou, N., Jemo, M., Bijker, W., and Belgiu, M.: Predictive modeling of wheat yield gaps using soil heavy Metals, climate, and Nutrient management in rainfed Morocco, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15533, https://doi.org/10.5194/egusphere-egu26-15533, 2026.

EGU26-16987 | ECS | Orals | SSS9.1

Tracing the Synergies and Trade-off Between the Global Food Security and Biodiversity 

Adrija Datta, Shekhar Sharan Goyal, Rohini Kumar, and Udit Bhatia

Feeding a growing global population while limiting biodiversity loss remains a central challenge for sustainable development. Although biodiversity decline and food availability have been widely studied, their combined trajectories and trade-offs at the national scale are not well quantified. This study integrates measures of biodiversity intactness and food security to examine long-term national trajectories from 1970 to 2014, together with future emission scenarios. Substantial variation exists across countries, alongside a persistent trade-off between food security gains and biodiversity conservation. Countries such as Norway and Canada remain closest to sustainability, combining relatively high biodiversity intactness with adequate food availability. In contrast, several countries in the Global South, including Bangladesh, Angola, and Mongolia, remain far from the sustainability frontier due to low food availability, biodiversity loss, or both. Large agricultural and economic producers, such as China, India, and Brazil, exhibit predominantly horizontal or downward-sloping trajectories, indicating that increases in food availability have occurred alongside declines in biodiversity intactness. Over the period 1970-2014, countries with sustained improvements in food security show a consistent temporal imbalance between nutritional gains and biodiversity outcomes. Across China, India, Brazil, biodiversity losses offset approximately 30-60% of food-security gains. In these countries, positive contributions from food security accumulate over time while biodiversity contributions remain persistently negative. Assessing food availability alongside biodiversity therefore provides a more complete assessment of sustainability outcomes. Placing national food-system trajectories within a planetary-boundaries framework helps identify pathways that meet nutritional requirements without exceeding limits of ecological change.

How to cite: Datta, A., Goyal, S. S., Kumar, R., and Bhatia, U.: Tracing the Synergies and Trade-off Between the Global Food Security and Biodiversity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16987, https://doi.org/10.5194/egusphere-egu26-16987, 2026.

EGU26-17119 | ECS | Orals | SSS9.1

Climate drivers of nicotine content variation and ARIMA model prediction 

Baojian Wu, Chaoqun Zheng, Weihua Feng, Yongsheng Wang, and Jianwei Wang

To investigate the climate-driven mechanism of nicotine formation, this study was based on flue-cured tobacco leaf samples (n=5321) and corresponding climate data from three major typical tobacco-growing regions in China—Southwest, Huanghuai, and Northeast—from 2010 to 2024. Methods including analysis of variance, Mantel test, variance partitioning, correlation analysis, and ARIMA time series models were employed to systematically analyze the contribution rates and interactions of production region, cultivar, leaf position, and climatic factors on nicotine content. The results showed an overall increasing trend in nicotine content across leaf positions in the Southwest region, with upper and middle leaves increasing by 20.3% and 16.7%, respectively, over the 10-year period. The Huanghuai and Northeast regions exhibited decreasing trends in nicotine content. The climatic drivers of nicotine content differed significantly among leaf positions. Nicotine in upper leaves was primarily regulated by sunshine duration (contribution rate 42.5%), while nicotine in middle and lower leaves was driven by precipitation. Time series analysis indicated a significant decrease in sunshine duration in the Southwest region at a rate of 2.1 hours per year (p<0.05), and increasing precipitation trends of 21 mm and 17 mm per year in the Huanghuai and Northeast regions, respectively. Based on ARIMA model, the nicotine content of upper leaves in the Southwest region is projected to rise to 3.6–3.8% over the next five years, posing a risk of exceeding the suitable range for industrial availability. The response of nicotine to climatic factors showed significant cultivar specificity. Yunyan 87 was sensitive to sunshine and precipitation, while Yunyan 99, Zhongyan 100, and Longjiang 911 were insensitive to sunshine duration. This study utilized ARIMA models to predict and issue an early warning that nicotine content in upper leaves of the Southwest region risks exceeding standards in the next five years, providing a critical window for proactive industry response. The identified climate-resilient cultivars such as 'Yunyan 97' and 'Longjiang 911' establish a germplasm foundation for ensuring the future quality stability and industrial usability of tobacco leaf raw materials.

How to cite: Wu, B., Zheng, C., Feng, W., Wang, Y., and Wang, J.: Climate drivers of nicotine content variation and ARIMA model prediction, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17119, https://doi.org/10.5194/egusphere-egu26-17119, 2026.

EGU26-19184 | ECS | Posters on site | SSS9.1

Effects of Wooden Field Margins on Soil Ecosystem Functions and Crop Productivity in Southern Saxony-Anhalt (Germany) 

Mona Pawelke, Mike Teucher, Lena Büschel, and Julia Pöhlitz

Agroecosystems in southern Saxony-Anhalt are under increasing ecological stress due to climate change. The widespread absence of field margins exacerbates this challenge; large-scale land consolidation over recent decades, combined with inadequate management, has led to a substantial reduction in these critical landscape features. However, wooden field margins - hedgerows and tree rows with shrub components - are increasingly recognized as important elements for enhancing soil functions and supporting climate-resilient agroecosystems.

This study quantified the effects of structurally distinct wooded field margins on soil properties and crop productivity. Soil indicators included inorganic parameters (pH and bulk density) and organic indicators (soil organic matter content and Tea Bag Index), complemented by agronomic traits (crop yield and plant height).

Field investigations were conducted at two sites in southern Saxony-Anhalt representing four distinct field margin structures, adjacent to conventionally and organically managed fields. At site one, there were two variants of closed hedgerows with individual trees of differing structural characteristics, and at site two, there were two types of tree rows with differentiated shrub components. Each plot comprised a length of 100 m. Soil and crop parameters were assessed along transects extending from the field margin into the adjacent cropland to capture distance-dependent effects (25 m, 50 m and 100 m). Soil indicators were sampled at five points per transect at 20-m intervals. Yield and plant height measurements were recorded at the proximity of the field margin (approximately 1 m) and at transect positions (25 m, 50 m and 100 m) with replicated sampling.

Preliminary results show significant differences in pH and microbial activity, as measured by the Tea Bag Index, between field margins and open field areas. Measurable margin effects extend up to 25 m into the field. Differences between conventional and organic management were comparatively small. Conversely, crop yield and plant height increased within the 25 m zone adjacent to field margin and declined with increasing distance from the margin. Further analysis will incorporate site management practices and field margin vegetation structure in order to elucidate their interactions with agronomic performance parameters.

These findings demonstrate measurable positive spillover effects of wooded field margins for soil ecosystem functions and crop performance. They provide a basis for evidence-based design and spatial planning of climate-resilient agricultural landscapes under variable conditions.

How to cite: Pawelke, M., Teucher, M., Büschel, L., and Pöhlitz, J.: Effects of Wooden Field Margins on Soil Ecosystem Functions and Crop Productivity in Southern Saxony-Anhalt (Germany), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19184, https://doi.org/10.5194/egusphere-egu26-19184, 2026.

Sustainable management practices are promoted to achieve dual outcomes of mitigating climate change and sustaining crop productivity. In particular, no-till with cover crops introduces greater plant-derived biomass C and enhances nutrient cycling for subsequent seasons. However, whether this practice improves soil health and further facilitates crop productivity and net biome production (NBP) in the short term remains unclear. Therefore, this study aimed to evaluate the effects of management practices on NBP and soil health, and the relationship between soil health and yield. A soybean field trial was conducted at the Field Science Center for Northern Biosphere, Hokkaido University, Japan, to examine the first two-year effects of rye [Secale cereale, cv. R-007] cover cropping under no-till without fertilizer (NT-WC), compared with CT-CF (tillage + chemical fertilizer), CT-NF (tillage + no chemical fertilizer), and NT-NF (no-till + no chemical fertilizer). Haney’s Soil Health Test (HSHT), which quantifies soil health score (SHS), was employed to evaluate seeding and harvest stages in 2024 and 2025 by measuring the parameters: CO₂ burst, water extractable organic carbon and nitrogen (WEOC, WEON) (calculated as WEN minus NO3--N and NH4+-N). NBP was calculated from plant-derived biomass carbon and heterotrophic respiration (Rh), measured using the static closed-chamber technique. Three-way ANOVA, Pearson’s correlation analysis, and regression analysis were used to examine the differences among treatments over two years, the driver parameter of SHS, and the relationship between SHS and grain yield, respectively. The results showed that the only positive NBP value in the first year under NTWC, with higher rye net primary production (NPP), declined significantly in the second year from 1.56 to −4.70 Mg ha-1 due to reduced soybean aboveground NPP and increased Rh. In addition, grain yields in the second year under NT were significantly lower than those under CT and also significantly decreased relative to the first year. Second-year yield was strongly associated with soil bulk density, particularly in the 0–5 cm layer (r=-0.82; P<0.0001). Tillage reduced bulk density in the CT treatment and thereby alleviated yield and biomass limitations. SHS ranges from 0 to 50, with higher values indicating higher microbial activity and nutrient cycling potential. SHS had no significant differences among treatments but varied over time (mean 16.4 → 7.0 → 8.4 → 29.4), driven by elevated CO₂ burst, WEON, and WEOC. These patterns coincided with significantly higher Rh in the second year (except for CT-NF), likely reflecting enhanced microbial activity and increased residue decomposition. SHS at seeding was significantly correlated with grain yield under NT treatments. Overall, the no-till with cover crops system decreased yield and NBP and did not result in a clear improvement in soil health. Reduced tillage and the inclusion of physical soil properties in managing soil health may guide to optimize management, prevent crop yield loss, and enhance biomass production in further trials in this pedoclimatic context.

How to cite: Tseng, W.-Y., Hirata, T., Kuramochi, K., and Toma, Y.: Short-term responses of soil health and net biome production to no-till cover cropping: a case study of silty clay soil in a humid continental climate, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19551, https://doi.org/10.5194/egusphere-egu26-19551, 2026.

Drought stress is a major constraint on crop productivity, yet its impact on plant physiological status remains difficult to monitor non-destructively across contrasting soil conditions. In this study, we investigated drought-induced changes in the optical properties of spring barley (Hordeum vulgare L.) leaves using visible–near infrared (VIS–NIR, 350–2500 nm) spectroscopy in a controlled pot experiment.

Barley was grown on four mineral soils differing in texture and water retention capacity, which imposed contrasting soil water availability conditions. Plants were subjected to early drought stress, late drought stress, combined stress, and a well-watered control. Leaf reflectance spectra were collected repeatedly throughout the experiment using a PSR-3500 spectroradiometer with a leaf clip, allowing the analysis of temporal stress development under different soil settings.

Drought stress induced consistent spectral responses across all soils, including increased reflectance in the visible range associated with chlorophyll degradation, reduced near-infrared reflectance linked to changes in leaf internal structure, and pronounced changes in short-wave infrared water absorption features. Vegetation indices related to greenness and water content (e.g. NDVI, NDWI) declined progressively with increasing stress intensity.

Principal component analysis (PCA) revealed a clear and reproducible trajectory of spectral change corresponding to drought progression (control → early stress → combined stress → late stress). This temporal stress signal dominated the spectral variability, while soil type exerted a secondary influence compared to both drought intensity and measurement timing. Loadings indicated that red-edge dynamics and leaf water absorption bands (970, 1450 and 1940 nm) were the primary contributors to stress discrimination.

The results demonstrate that VIS–NIR spectroscopy provides a sensitive, non-destructive tool for tracking drought-induced physiological responses in barley leaves and for disentangling primary plant stress signals from secondary soil-mediated effects related to soil water availability. This approach offers strong potential for proximal and remote sensing applications aimed at improving drought monitoring and crop resilience assessment under changing climatic conditions.

How to cite: Bartosiewicz, B. and Debaene, G.: Tracking drought-induced physiological trajectories in spring barley leaves using VIS–NIR spectroscopy across contrasting soil types, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19781, https://doi.org/10.5194/egusphere-egu26-19781, 2026.

EGU26-20059 | Orals | SSS9.1

Multi-dimensional Spatial Modeling of Climate-Soil-Water Dynamics: Assessing Crop Productivity and Quality Factors in South-Eastern Romania 

Igor Sirodoev, George-Marius Cracu, Raluca-Gabriela Nicoara, Mirela Paraschiv, Andrei Schvab, George Secareanu, Natasa Vaidianu, Angela Cantir, Ioana Chiriac, Olga Crivova, Stela Curcubat, and Ghennadi Sirodoev

The agricultural landscape of South-Eastern Romania, specifically in the counties of Constanța and Tulcea, represents a complex socio-ecological system that is increasingly vulnerable to climate-driven stressors. This study quantifies and models the spatial interplay between climate variables, soil characteristics, and water availability to determine their collective influence on plant growth, final yield, and crop quality. The research employs a multi-source data fusion approach, integrating high-resolution satellite imagery (Sentinel-2 and Landsat 8/9) with CORINE Land Cover, EUCropmap, and AGRI4CAST datasets to map spatial heterogeneity in crop coverage and land-use transitions. To bridge the gap between spectral indices (such as NDVI, EVI, and NDWI) and actual agricultural output, the model incorporates multi-annual statistics on crop harvesting. Using Geographically Weighted Regression (GWR) and Machine Learning algorithms (Random Forest), we analyze the non-stationary relationships between: (i) climate drivers of crop production, such as precipitation patterns, thermal accumulation (GDD), and evapotranspiration rates; (ii) edaphic factors, such as soil moisture retention and organic matter content specific to the Chernozem and Fluvisol profiles of the region; (iii) water-availability constrains, such as proximity to the Danube, the influence of the Black Sea’s maritime climate, and availability of irrigation. Preliminary findings indicate that while soil fertility remains high in parts of Constanța, water scarcity due to limited irrigation and reduced air humidity acts as the primary limiting factor, creating high-yield variability. In the Tulcea region, the influence of the Danube Delta creates a distinct micro-environmental signature that benefits certain crop types while increasing the risk of salinity-induced quality degradation. As part of the transboundary research project “The impact of European agricultural policies on land use: Romania's experience and lessons for the Republic of Moldova in a European perspective – MapLURoMd”, this study provides a good framework for regional land-use planning and useful insights for the Republic of Moldova’s climate change adaptation policy in agriculture based on Romanian experience.

How to cite: Sirodoev, I., Cracu, G.-M., Nicoara, R.-G., Paraschiv, M., Schvab, A., Secareanu, G., Vaidianu, N., Cantir, A., Chiriac, I., Crivova, O., Curcubat, S., and Sirodoev, G.: Multi-dimensional Spatial Modeling of Climate-Soil-Water Dynamics: Assessing Crop Productivity and Quality Factors in South-Eastern Romania, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20059, https://doi.org/10.5194/egusphere-egu26-20059, 2026.

EGU26-20169 | ECS | Orals | SSS9.1

Towards 2030: advancing climate-resilient and sustainable cover cropping systems under global change 

Tianyi Qiu, Ji Liu, Zhiyuan Xu, Jay Ram Lamichhane, Josep Peñuelas, and Linchuan Fang

Cover crops (CCs) are widely promoted as a cornerstone of climate-smart and diversified agriculture, yet their effectiveness remains highly context-dependent. Here, we present a coherent, multi-faceted framework for understanding when, where, and how CCs can deliver net climate and productivity benefits. First, drawing on a global meta-analysis of over 2,300 observations, we demonstrate that CCs can substantially enhance agroecosystem multifunctionality—including crop yield, soil carbon storage, and erosion control—when practices are optimized. Long-term implementation, climate-smart management (e.g. no-tillage), and diversified CC mixtures emerge as key determinants of synergistic outcomes, particularly in environmentally constrained regions. Second, we show that these benefits are frequently constrained by a climate–productivity trade-off driven by elevated nitrous oxide (N2O) emissions. By integrating multiple global meta-analyses with machine-learning approaches, we identify aridity and soil acidity as dominant controls of this trade-off through their influence on microbial nitrogen cycling. Region-specific optimization of nitrogen inputs can substantially reduce trade-off intensity, mitigating up to ~2.65% of global crop-specific N2O emissions while sustaining yield gains, especially in semi-arid alkaline systems. Finally, moving beyond CCs as a standalone solution, we explore the potential of coupling CCs with enhanced rock weathering (ERW) as a complementary nature-based strategy. Evidence from systematic reviews and field observations suggests that CC–ERW synergies can improve biogeochemical synchrony, strengthen soil food webs, and further reconcile climate mitigation with agricultural productivity. Together, these findings highlight a pathway from practice optimization to system-level integration for building resilient, multifunctional agroecosystems under climate change.

How to cite: Qiu, T., Liu, J., Xu, Z., Lamichhane, J. R., Peñuelas, J., and Fang, L.: Towards 2030: advancing climate-resilient and sustainable cover cropping systems under global change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20169, https://doi.org/10.5194/egusphere-egu26-20169, 2026.

EGU26-20379 | ECS | Orals | SSS9.1

The importance of UAV applications and uses in Agriculture 4.0 

Filippo Accomando, Pietro Tizzani, Alessandra Iannuzzi, Maurizio Buonanno, and Antonello Bonfante

Under pressure from climate change and the need to ensure production resilience, modern agriculture is shifting towards management strategies based on advanced monitoring systems. This approach, known as Agriculture 4.0 or 5.0, aims to optimize resource use and adapt to evolving conditions. However, the deployment of such tools cannot be incidental; to optimize resources and resilience, it is necessary to strategically determine the optimal positioning and the specific typology of sensors to be employed.

Optimizing resources requires correct knowledge of the soil-plant-atmosphere (SPA) system. This objective demands a holistic understanding of the soil, plant, and atmosphere. Based on this knowledge, management decisions regarding nutrients and irrigation are made by subdividing the field into Management Zones or Homogeneous Zones (HZs). A detailed analysis of soil properties and crop responses allows for site-specific distribution of resources and the identification of Functional Homogeneous Zones (fHZs), which are directly related to SPA dynamic processes and ecosystem functions.

The identification of HZs and fHZs passes through a critical characterization phase where geosciences play a transformative role. This contribution demonstrates how UAVs equipped with different cameras enable the classification of these zones through varying levels of complexity. These methods promote Agriculture 4.0 goals by optimizing field sensor deployment—significantly reducing costs—and improving resource allocation, which enhances farm incomes and systemic resilience.

Geophysical investigations provide the spatial intelligence to plan sensor networks correctly, ensuring they capture actual landscape variability. We propose an integrated framework combining UAVs, geophysical surveys, and mechanistic modeling. UAVs with multispectral sensors and topographic tools monitor crop status and phenological plasticity with high precision. These data, integrated with proximal geophysical investigations like Electromagnetic Induction (EMI) and magnetic mapping, allow for non-invasive characterization of sub-surface soil heterogeneity. This approach reduces costs associated with blind sensor installation and trial-and-error management, providing a roadmap for Decision Support Systems (DSS). Through mechanistic modeling, the framework simulates water and nutrient dynamics, providing indicators of soil health and plant stress. Ultimately, UAV-based geophysics and hydropedological modeling represent transformative tools to safeguard ecosystem services and promote sustainable, economically viable agricultural landscapes.

Keywords: Agriculture 4.0 & 5.0, UAV Support, Sensor Network Optimization, Geoscience, SPA Continuum, Climate Resilience.

How to cite: Accomando, F., Tizzani, P., Iannuzzi, A., Buonanno, M., and Bonfante, A.: The importance of UAV applications and uses in Agriculture 4.0, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20379, https://doi.org/10.5194/egusphere-egu26-20379, 2026.

EGU26-21251 | ECS | Orals | SSS9.1

Investigating Multi-Scale Soil Moisture Dynamics and Hydrological Processes in Silvoarable Agroforestry in Hessen, Germany 

Farimah Asadi, Alvin J. Felipe, Maren Dubbert, Suzanne R. Jacobs, and Lutz Breuer

Agroforestry represents one of the oldest and most sustainable forms of land use, integrating woody perennials with crops and grasslands to enhance resource efficiency while meeting human requirements for food, timber, and fiber. While its potential to conserve natural resources is well-recognized, a full understanding of the interactions between system components remains limited, particularly regarding the hydrological processes that regulate plant growth, nutrient dynamics, and energy exchange. This study presents ongoing research at a silvoarable experimental site in Gladbacherhof, Hesse, Germany, designed to quantify soil moisture dynamics across multiple spatial scales.

To characterize these dynamics at a high resolution, volumetric soil moisture is monitored using sensors installed along three transects oriented perpendicular to apple tree rows at specific distances of 1, 2.5, 6, and 10.5 meters from the trees and at soil depths of 10, 40, and 60 centimeters. These point-scale observations are complemented by field-scale variability captured through cosmic-ray neutron sensing (CRNS). To bridge these disparate scales, the study employs machine learning approaches—including random forest models, multilayer perceptron neural networks, and deep learning techniques—to derive spatially continuous representations of soil moisture at an intermediate scale.

Furthermore, the acquisition of high-temporal-resolution data allows for the investigation of hydraulic lift, which is inferred from observed nocturnal increases in soil moisture during prolonged dry periods. Building on these findings, a subsequent phase of the experiment will apply water stable isotope techniques to track the specific spatio-temporal patterns of water uptake by trees, grassland, and arable plants. As an ongoing study, this research aims to clarify the key factors and spatial controls governing soil moisture dynamics, ultimately supporting more informed design and management of resilient, multifunctional agroforestry systems.

How to cite: Asadi, F., Felipe, A. J., Dubbert, M., Jacobs, S. R., and Breuer, L.: Investigating Multi-Scale Soil Moisture Dynamics and Hydrological Processes in Silvoarable Agroforestry in Hessen, Germany, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21251, https://doi.org/10.5194/egusphere-egu26-21251, 2026.

EGU26-21482 | Orals | SSS9.1

Regenerative Agriculture: A Pathway to Climate Resilience 

Ruth Wade, Kellie Smith, Richard Grayson, Lisa Collins, and Pippa Chapman

Agriculture faces significant challenges under a changing climate, with increasingly unpredictable weather patterns disrupting farming operations, degrading soil health, impacting crop growth and thus threatening food security. Extreme rainfall and prolonged droughts during critical planting and growth periods can severely reduce yields and profitability, underscoring the urgent need for adaptive strategies.

Regenerative agriculture has emerged as a farmer-led movement aimed at improving soil health and enhancing system resilience. It is guided by six core principles: understanding farm context, minimising soil disturbance, maintaining year-round soil cover, increasing diversity, integrating livestock, and sustaining a living root throughout the year. However, regenerative agriculture encompasses a wide range of practices, and implementation varies across farms with different soils and climates. Transitioning to a regenerative agriculture system is complex, often requiring new skills, equipment, and management approaches. Furthermore, soil health improvements occur gradually, thus creating a transition period that can increase farm business risk, particularly under climate extremes.

At the University of Leeds farm in Yorkshire, England, we have established a replicated, large-plot field trial to evaluate the impacts of different transition strategies to regenerative agriculture. Our research measures changes in soil health, water regulation, biodiversity, greenhouse gas emissions, and economic viability, providing evidence to determine if regenerative agriculture practices can enhance farm resilience and deliver ecosystem services. Findings from recent extreme weather events - flooding in 2024 and drought in 2025 - highlight that adaptation is a long-term process requiring technical support and financial incentives to ensure a just transition for farmers.

How to cite: Wade, R., Smith, K., Grayson, R., Collins, L., and Chapman, P.: Regenerative Agriculture: A Pathway to Climate Resilience, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21482, https://doi.org/10.5194/egusphere-egu26-21482, 2026.

ABSTRACT

Climate change poses a serious threat to global food security, primarily through rising temperatures, erratic rainfall, and soil degradation. Soil, as the largest terrestrial carbon pool, plays a pivotal role in mitigating climate change through carbon sequestration. This study aims to evaluate the potential of various soil and crop management practices to enhance soil organic carbon (SOC) storage and reduce greenhouse gas emissions in agricultural systems. Field experiments will be conducted in selected agro-ecological zones, employing practices such as conservation tillage, crop residue retention, organic amendments, and biochar application. Soil samples will be analyzed for organic carbon content, bulk density, and nutrient availability, while gas flux measurements will assess CO₂, CH₄, and N₂O emissions. Data were statistically analyzed to determine the relationship between management practices, SOC accumulation, and crop productivity. The study outcomes include identification of sustainable soil management techniques that significantly increase SOC while maintaining or improving yield performance. These findings will contribute to formulating effective strategies for climate-smart agriculture, with implications for carbon credit programs and environmental policy development. This research emphasizes the dual benefits of soil carbon sequestration: enhancing soil fertility and mitigating climate change. It highlights a pathway toward resilient and sustainable agricultural systems, particularly relevant for developing countries like Pakistan, where agriculture is highly vulnerable to climate variability.

 

 

Keywords: Soil carbon sequestration, climate change mitigation, sustainable agriculture,

Conservation tillage, soil health

How to cite: Gondal, I. A.: Soil Carbon Sequestration and Climate Change Mitigation: Pathways for Sustainable Agriculture, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-225, https://doi.org/10.5194/egusphere-egu26-225, 2026.

EGU26-1862 | Posters on site | SSS9.2

Calibration of Crop Nitrogen Monitoring Using Ion-Selective Electrodes and Remote Sensing Indices in Horticultural Crops 

Francisco Garcia Sanchez, Lourdes Yabor, Erika Fernandez Martinez, Jose Manuel Brotons Martinez, Vicente Gimeno Nieves, and Jose Maria Carmara Zapata

Accurate monitoring of crop nitrogen status is essential to optimize fertilization management and reduce nitrate losses in intensive horticultural systems. This study aimed to calibrate crop monitoring tools based on ion-selective electrodes and remote sensing indices for nitrogen status assessment in horticultural crops.

Field experiments were conducted during the 2025 growing season on broccoli and watermelon grown under Mediterranean conditions and subjected to different nitrogen fertilization levels. Crop nitrogen status was assessed using complementary approaches. Multispectral satellite imagery and UAV-based hyperspectral data were used to calculate vegetation indices related to chlorophyll and nitrogen status, including NDRE, GNDVI, TCARI and OSAVI. These indices were calibrated against leaf nitrogen concentration and nitrate content determined by conventional laboratory analyses. In parallel, xylem sap was extracted from leaves and analyzed using ion-selective electrodes to determine nitrate concentration.

Strong relationships were observed between nitrogen supply, spectral indices and nitrate concentration in xylem sap, enabling the development of calibration models for real-time crop nitrogen monitoring. The integration of proximal sensing with remote sensing improved the robustness of nitrogen diagnostics across crops and growth stages.

These results highlight the potential of combining ion-selective electrodes and remote sensing tools as decision-support systems for optimized nitrogen management.

How to cite: Garcia Sanchez, F., Yabor, L., Fernandez Martinez, E., Brotons Martinez, J. M., Gimeno Nieves, V., and Carmara Zapata, J. M.: Calibration of Crop Nitrogen Monitoring Using Ion-Selective Electrodes and Remote Sensing Indices in Horticultural Crops, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1862, https://doi.org/10.5194/egusphere-egu26-1862, 2026.

EGU26-3059 | ECS | Posters on site | SSS9.2

Intercropping Strategies to Maintain Crop Productivity under Reduced Nitrogen Fertilization in Mediterranean Horticultural Systems 

Érika Fernández-Martínez, Juan José Martínez-Nicolás, Vicente Gimeno-Nieves, Lourdes Yabor, and Francisco García-Sánchez

Intercropping strategies represent a promising agronomic approach to improve nitrogen (N) use efficiency and reduce fertilizer inputs in intensive horticultural systems. This study evaluated the capacity of intercropping systems to maintain crop productivity under reduced nitrogen fertilization in Mediterranean conditions.

Field experiments were conducted during the 2025 growing season using broccoli (Brassica oleracea var. italica) and watermelon (Citrullus lanatus) as model crops. Optimal nitrogen fertilization rates were established for each crop and subsequently reduced by 30% to assess crop performance under lower N inputs. Different intercropping combinations were implemented and compared with monocropping systems under both optimal and reduced nitrogen supply. Agronomic parameters, including yield and biomass production, were evaluated together with plant nitrogen status and nitrate accumulation in plant tissues and soil.

The results showed that intercropping systems enhanced nitrogen use efficiency and mitigated the negative effects of a 30% reduction in nitrogen fertilization. In several intercropping combinations, crop yield was maintained or only slightly reduced compared to monocropping under optimal nitrogen supply. In addition, intercropping significantly reduced nitrate accumulation in leaves and soil, indicating improved nitrogen uptake and utilization.

These findings demonstrate that intercropping strategies can effectively reduce nitrogen inputs while maintaining crop productivity in Mediterranean horticultural systems.

How to cite: Fernández-Martínez, É., Martínez-Nicolás, J. J., Gimeno-Nieves, V., Yabor, L., and García-Sánchez, F.: Intercropping Strategies to Maintain Crop Productivity under Reduced Nitrogen Fertilization in Mediterranean Horticultural Systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3059, https://doi.org/10.5194/egusphere-egu26-3059, 2026.

Spatial allocation of best management practices (BMPs) is crucial for reducing non-point source pollution at the watershed scale. However, uncertainty in BMP effectiveness caused by varying hydro-meteorological conditions can pose challenges to achieving water quality management goals, emphasizing the need to incorporate these uncertainties into decision-making. Here we develop a credibility-based chance-constrained programming (CCP) framework to explicitly embed uncertainty into BMP planning and to support reliable multiobjective decisions. We model the dependence in BMP effectiveness with vine copulas and assess its implications for outlet loads via a Markov-based surrogate that approximates the relationship between BMP spatial configurations and outlet load responses. We couple this stochastic simulation–optimization workflow with NSGA-II to search Pareto-optimal trade-offs between implementation cost and nutrient-load reduction while explicitly estimating the reliability (credibility) of candidate solutions. To support actionable choices, the resulting solution set is further condensed via clustering and fuzzy-set ranking to identify representative best-compromise solutions. The results show that the system cost increased by up to 3.4 times with the increase of reduction goal (30–60%). Notably, higher credibility levels allow for slight increases in pollution loads (1.48%-5.67%) without significantly raising costs. Overall, the proposed uncertainty-aware CCP framework enables decisionmakers to balance costs and environmental benefits while ensuring robust and reliable decisions. This approach is highly adaptable to BMP planning in complex environmental systems, enhancing its practicality for multiobjective watershed management.

How to cite: Ding, W. and Hu, C.: A copula-based chance-constrained programming framework for BMPs spatial configuration planning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5498, https://doi.org/10.5194/egusphere-egu26-5498, 2026.

EGU26-9791 | ECS | Posters on site | SSS9.2

Residue decomposition dynamics under different cropping systems in dryland cereal systems. 

Adrián Aladrén, Jorge Álvaro-Fuentes, and Laura Martínez

 

Efficient management of crop residues is crucial for soil conservation and efficient nutrient dynamics in semi-arid agroecosystems. This study aims to evaluate decomposition dynamics and release of carbon (C) and nitrogen (N) from cover-crop residues in barley (Hordeum vulgare L.) cropping systems in Mediterranean semi-arid conditions. During one year a litterbag experiment is being conducted to examine cover crops decomposition dynamics.

The field experiment consists in two cover crop termination management strategies: chopped (residues left on soil surface) and tilled (incorporated into soil) and three cover crops species: cereal (oat - Avena sativa L.), legume (vetch - Vicia sativa L.) and mix (70:30) of both species. The experiment started at May 2025 and will be monitored 10 samplings times during 48 weeks of litter decomposition simultaneously with the following soil quality parameters: residue decomposition rate, soil mineral nitrogen (NO₃⁻ and NH₄⁺), soil permanganate oxidizable carbon (POxC), soil basal respiration, microbial biomass, and soil enzymatic activities (β-glucosaminidase and dehydrogenase).

Here we present results from the litter decomposition across the first 16 weeks. Plots under chopped termination showed 30% of residue decomposition while plots under tilled termination showed 70% of residue decomposition. In tilled termination, the mixed species had lower decomposition rate compared to cereal and legume, while in chopped termination there were no differences among species in residue decomposition. Most of the decomposition (50 to 70% of total decomposition; in chopped and tilled managements respectively) occurred during the first four weeks. During these weeks, legume residue decomposed more rapidly than cereal and mix species under both terminations, which related with higher soil microbial biomass levels, soil enzymatic activities (dehydrogenase, β-glucosaminidase) and soil nitrates. From the fourth week, there was a decrease in soil microbial biomass and activity for both terminations, which was associated with the summer period (low soil moisture and high temperature).

In our study, the first four weeks after residue incorporation were critical for decomposition, accounting for more than 50% of total decomposition and coinciding with highest soil enzymatic and microbial activity. Whether residues were left on the surface or incorporated into soil, the release of C and N contributed to the stimulation of biological activity and, consequently, to soil health. By week 16, decomposition trends converged across practices, yet legumes consistently accelerated litter decomposition and enhanced nitrogen availability. Cover crops are a key sustainable management practice in semi-arid Mediterranean regions, and understanding their decomposition dynamics is essential to ensure more sustainable agroecosystems in semi-arid Mediterranean regions.

ACKNOWLEDGEMENTS: This research was supported by the Spanish State Agency for Research (AEI) (Grant PID2021–126343OB-C31).

How to cite: Aladrén, A., Álvaro-Fuentes, J., and Martínez, L.: Residue decomposition dynamics under different cropping systems in dryland cereal systems., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9791, https://doi.org/10.5194/egusphere-egu26-9791, 2026.

EGU26-10188 | ECS | Posters on site | SSS9.2

 Use of slow-release fertilizers labeled with 15N (tuff rich in zeolite and struvite) to evaluate nitrogen and phosphorus use efficiency in the cultivation of Lactuca sativa L. 

Andrea Degan, Giacomo Ferretti, Matteo Alberghini, Mortadha Ben-Hassine, Antonello Aquilano, Emanuele Radicetti, Barbara Faccini, and Massimo Coltorti

Improving nitrogen and phosphorus fertilizer use efficiency is a key priority to reduce nutrient losses and mitigate the environmental impact of intensive agricultural systems. Excessive fertilizer inputs are a major driver of nutrient leaching and emissions, highlighting the need for alternative fertilization strategies capable of increasing nutrient retention and crop uptake. In this context, slow-release fertilizers derived from agricultural wastes represent a promising option for more sustainable crop nutrition management, particularly in high-input horticultural systems.

This study presents the results of a pot experiment conducted on Lactuca sativa L. grown in a controlled soilless substrate. The experiment aimed to compare crop performance and nutrient use efficiency between innovative slow-release fertilizers and conventional synthetic fertilizers. Specifically, natural zeolites loaded with NH₄⁺ and struvite were tested as alternative nutrient sources and compared with ammonium-based synthetic fertilizers. Both recycled materials were isotopically enriched with 15N (~5 atom%), allowing a precise tracing of fertilizer-derived nitrogen within the plant–substrate system. Nitrogen-Fertilizer Use Efficiency (NFUE) was quantified using isotopic mass balance, while Phosphorus Use Efficiency (PUE) was assessed through a conventional mass balance approach under balanced nutrient application rates.

The results indicate that slow-release fertilizers ensured lettuce yields comparable to or higher than those obtained with synthetic fertilizers, while achieving higher NFUE. In particular, the lettuce grows on NH₄⁺-loaded zeolite exhibited higher N derived from fertilizer. Struvite proved to be an effective combined source of nitrogen and phosphorus, supporting plant growth while providing a sustained nutrient supply throughout the cultivation cycle.

Overall, this study confirms the potential of struvite and zeolites as sustainable alternatives to mineral fertilizers, demonstrating their capacity to improve nutrient use efficiency and reduce nutrient losses in intensive horticultural production systems.

How to cite: Degan, A., Ferretti, G., Alberghini, M., Ben-Hassine, M., Aquilano, A., Radicetti, E., Faccini, B., and Coltorti, M.:  Use of slow-release fertilizers labeled with 15N (tuff rich in zeolite and struvite) to evaluate nitrogen and phosphorus use efficiency in the cultivation of Lactuca sativa L., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10188, https://doi.org/10.5194/egusphere-egu26-10188, 2026.

EGU26-16600 | Posters on site | SSS9.2

National-scale Scenario Analysis of Nutrient Management Strategies for Soil and Water Conservation in Korea 

HyeJin Park, Yejin Lee, and Chanwook Lee

Nitrogen (N) and phosphorus (P) are essential nutrients for crop production; however, excessive nutrient inputs beyond crop demand remain a major driver of nutrient losses to soil–water systems, resulting in eutrophication, greenhouse gas emissions, and declining nutrient use efficiency. Nutrient balance, defined as the difference between nutrient inputs from fertilizers and livestock manure and nutrient outputs via crop uptake, provides an integrative indicator for assessing nutrient surpluses and associated environmental risks in agricultural land.

In Korea, national nutrient balances remain among the highest in OECD countries, reaching 240 kg N ha⁻¹ and 44 kg P ha⁻¹ in 2022, largely due to livestock-related nutrient inputs. To explore effective strategies for reducing nutrient surpluses and improving soil and water conservation, this study evaluated three national-scale nutrient management scenarios: (i) optimized fertilizer application based on soil testing, (ii) reduction in livestock numbers, and (iii) improvement of livestock manure treatment rates. Scenario analysis showed that nutrient balances could be reduced by up to 20%, 25%, and 50% under scenarios (i), (ii), and (iii), respectively, indicating that enhanced manure treatment is the most effective leverage for mitigating nutrient overloads at the national scale.

These findings highlight the importance of integrated nutrient management approaches that combine precision fertilizer use with improvements in livestock manure management. Furthermore, the results suggest that improving manure treatment efficiency, together with circular nutrient use and manure-to-energy conversion, can contribute to reducing nutrient losses to water bodies while supporting long-term sustainability and climate mitigation goals. This study provides a policy-relevant framework for advancing nutrient management strategies aimed at soil and water conservation in intensive agricultural systems.

How to cite: Park, H., Lee, Y., and Lee, C.: National-scale Scenario Analysis of Nutrient Management Strategies for Soil and Water Conservation in Korea, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16600, https://doi.org/10.5194/egusphere-egu26-16600, 2026.

EGU26-16959 | Posters on site | SSS9.2

Multi-Criteria Analysis for Decision-Making in Broccoli Nitrogen Fertilization 

Jose Maria Carmara-Zapata, Francisco Garcia-Sanchez, and José Manuel Brotons-Martínez

Enhancing nitrogen fertilization management contributes to the sustainability of agricultural production. A multi-criteria analysis applied to nitrogen fertilization in broccoli crops enables producers to make informed decisions. In 2023, broccoli production was analyzed under different nitrogen fertilization rates using economic, social, agronomic, and environmental criteria to determine the most suitable alternative from a sustainability perspective. Based on expert opinions, the importance of each criterion was quantified using the Analytic Hierarchy Process (AHP). The ranking of the alternatives was established using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Economic and agronomic criteria exhibited a higher weighting than the others. The results established that a rate of 150 units of nitrogen fertilizer is the most suitable under the experimental conditions studied. In conclusion, multi-criteria analysis using a combination of AHP and TOPSIS can support growers' decision-making in broccoli production under Mediterranean conditions.

How to cite: Carmara-Zapata, J. M., Garcia-Sanchez, F., and Brotons-Martínez, J. M.: Multi-Criteria Analysis for Decision-Making in Broccoli Nitrogen Fertilization, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16959, https://doi.org/10.5194/egusphere-egu26-16959, 2026.

EGU26-17650 | Posters on site | SSS9.2

Nature based solution to soil and vegetation recovery  in Pianosa Island: Cyanobacteria as Biostimulants for Sustainable Bioaugmentation 

Anita Maienza, Cecilia Faraloni, Graziella Chini Zittelli, Filippo Gallese, Francesco Balestra, Francesco Sabatini, Francesco Vaccari, and Romina Lorenzetti

Pianosa is a unique island in the Tuscan Archipelago (Italy), characterized by low annual rainfall, and predominantly shallow calcareous soils. Due to the presence of an agricultural colony on Pianosa land, decades of agricultural use profoundly altered soil structure and function. After agricultural activities related to the penal colony were ceased, a long-term natural recovery processes under has initiated, under the main driver of increasing climatic stress. The National Research Council (CNR) has monitored the ecosystem since the early 2000s, and in 2020 launched a new campaign to assess soil health and vegetation recovery after 40 years of abandonment. Preliminary findings indicate that vegetation resilience under climate change is strongly influenced by soil chemical, physical, and biological properties, highlighting the central role of soil microbial communities in driving ecosystem functioning. In this context, biological soil crust components, particularly cyanobacteria, are expected to play a key role in nutrient cycling, organic matter dynamics, and soil water regulation in resource-limited environments. Within this framework, we isolated and characterized native cyanobacterial strains from Pianosa soils to assess their functional traits and evaluate their potential as biostimulants for enhancing organic matter mineralization and nutrient availability in resource-limited calcareous soils. The selected strains were investigated for their ecological relevance and their capacity to influence key soil processes related to carbon and nutrient cycling. Laboratory microcosm experiments, designed to simulate early-stage soil recovery conditions, demonstrated that cyanobacterial inoculation can positively affect soil fertility indicators, including nutrient dynamics and organic matter turnover, while also improving soil water retention capacity. These findings highlight the ability of native cyanobacterial communities to modulate soil physical and biogeochemical properties. Overall, our results support the use of site-adapted cyanobacteria as a nature-based bioaugmentation strategy to restore soil functionality and enhance ecosystem resilience in Mediterranean insular systems increasingly exposed to climate change.

 

How to cite: Maienza, A., Faraloni, C., Chini Zittelli, G., Gallese, F., Balestra, F., Sabatini, F., Vaccari, F., and Lorenzetti, R.: Nature based solution to soil and vegetation recovery  in Pianosa Island: Cyanobacteria as Biostimulants for Sustainable Bioaugmentation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17650, https://doi.org/10.5194/egusphere-egu26-17650, 2026.

EGU26-17767 | ECS | Posters on site | SSS9.2

Optimizing organic fertilizer substitution for yield-carbon tradeoffs in staple crops across China  

Yuqiao Wang, Shengli Liu, Jiangtao Han, Xianjie Duan, Qianqian Ma, Hongen Liu, and Wei Zhou

Agricultural soil plays a dual role in the terrestrial carbon cycle, acting both as an important carbon reservoir and a major source of greenhouse gas (GHG) emissions. Organic fertilizer substitution (OFS) is thought to be an effective management strategy to improve soil carbon(C) content and soil health, while at the same time maintaining crop productivity. However, the optimal ratio of OFS that can simultaneously enhance crop yield and reduce soil C losses remains unclear for sustainable agricultural soil management. Therefore, in this study we access the optimized ratio of OFS across China and quantify the responses of crop yield and net C balance to variations in OFS. We compiled a database of crop yield and net C balance—defined as changes in soil organic carbon (SOC) and greenhouse gas (GHG) emissions—for wheat, maize, and rice production in China. This database was used to develop a machine learning model to predict crop yield, GHG emissions, and net C balance for the three crops, which was subsequently upscaled using gridded environmental datasets representing the major crop production systems across China. The results showed that the optimal OFS ratio varied between 10% and 90%, with most values concentrated in the range of 20–40%. Under the optimal OFS ratio, crop yields increased at the national scale, with greater yield gains observed for maize and rice than for wheat. In addition, optimal OFS significantly enhanced the net C balance of the three major cropping systems across China, generating additional carbon sinks of 1081.81, 930.05, and 510.76 Tg CO₂-eq for maize, rice, and wheat, respectively, compared with business-as-usual (BAU) scenarios. Overall, our results indicate that OFS represents an optimal field management strategy that not only enhances agronomic productivity but also improves environmental performance.

How to cite: Wang, Y., Liu, S., Han, J., Duan, X., Ma, Q., Liu, H., and Zhou, W.: Optimizing organic fertilizer substitution for yield-carbon tradeoffs in staple crops across China , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17767, https://doi.org/10.5194/egusphere-egu26-17767, 2026.

Production of litter from standing trees, shrubs, and other herbaceous species in agroforestry (AF) systems contributes significantly to maintaining and enhancing soil fertility. The contribution of litterfall to nutrient cycling in AF systems at the stand level in Ethiopia remains understudied. The study aimed to compare litterfall production and investigate associated macro and micro-nutrients in enset based, enset-coffee based and coffee-fruit tree-enset based AF systems. Five farms were selected randomly from each AF system and each farm had three replications. Litterfall traps were randomly assigned in a 10×10 meter farm plot and litterfall collection was carried out for one year. A multiple linear regression model was developed to examine the effect of climatic factors (temperature, rainfall, wind speed, and relative air humidity) on litterfall production. The annual litterfall production of the AF system as stand level per unit area of land was the highest for the coffee-fruit tree-enset based AF system (average 9.8 tone ha-1), followed by the coffee-enset based (4.1 tone ha-1), and the Enset based (3.7 tone ha-1). The associated annual fluxes Ca, K, Mg, Mn, Na, P, and S (kg ha-1) in the AF system with the highest litterfall sepcifically, coffee-fruit tree-enset basedAF were 186, 99, 23, 6, 1, 8 and 10 respectively. The corresponding C and N fluxes (kg ha-1) were 4692 and 192 respectively. The result of one-way ANOVA followed by post-hoc testing (Fisher’s LSD test) (n=12) showed that the coffee-fruit tree-enset based AF system was significantly different(P<0.05) for the nutrients Ca, K, Mg, Mn, Na and P. The annual nutrientflux of nutrients in the current study was considerably higher than ones reported for some forests and AF systems of tropical regions. The results of multiple regression analysis using stepwise backward model fit method revealed that, out of the four climatic factors, temperature was the only predictor which has a significant effect on litterfall production and included in the model. In general, the implication of good nutrient flux is the sustainable production of crops, fruits, vegetables, and other spices as aresult of efficient nutrient cycling of different elements within the system.

How to cite: Tesfay, H., Sandén, H., Bauer, A., and Melcher, A.: Litterfall Production and Associated Macro and Micro- nutrient Fluxes in Indigenous Agroforestry Systems of the Southeastern Rift Valley Landscapes, Ethiopia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18515, https://doi.org/10.5194/egusphere-egu26-18515, 2026.

EGU26-19889 | ECS | Posters on site | SSS9.2

Spatially Explicit NPK Fertilization Gaps Under Water‑Limited Conditions: An Integrated Modelling Approach for Sustainable Nutrient Management in Sub‑Saharan Africa 

Nikolaos-Christos Vavlas, Kees van den Dool, Massimo Tolomio, Antonius Schut, Herman Berghuijs, Allard de Wit, Abdul Mossa, Johan Leenaars, Francis Silatsa Tedou, Zachary Stewart, Latha Nagarajan, Guillaume Kodjovi Ezui, Yam Gaihre, Wim de Vries, and Gerard Ros

Soil fertility depletion, spatially variable nutrient limitations, and increasing climate variability are major constraints to crop productivity and resource conservation in Sub‑Saharan Africa (SSA). Sustainable nutrient management strategies that simultaneously improve crop yields, enhance soil health, and reduce nutrient losses are urgently needed to strengthen agricultural resilience. This study presents an integrated modelling framework for quantifying gaps in nitrogen (N), phosphorus (P), and potassium (K) fertilization under water‑limited conditions. The aim is to support site‑specific nutrient recommendations that improve fertilizer use efficiency while contributing to soil and water conservation.
The framework combines three complementary models. INITIATOR simulates soil nutrient stocks and flows, providing a spatially explicit assessment of nutrient availability and potential depletion risks. WOFOST estimates water‑limited maize yield potential, capturing the influence of rainfall variability and soil moisture dynamics on attainable production. QUEFTS then models nutrient uptake and yield responses, enabling calculation of nutrient requirements that match crop demand without excess application. Together, these components enable a holistic evaluation of nutrient management in soil–crop–water systems on different management levels.
The approach was applied to Uganda, a country characterized by strong agro‑ecological diversity, high interannual rainfall variability, and widespread soil degradation. Using 1 km resolution SoilGrids data and climate records from 2001–2024, spatially explicit water‑limited yield potentials were simulated for maize across the country. Fertilizer requirements were calculated based on median attainable yields for the period . Results reveal substantial geographic variation in nutrient availability, nutrient use efficiency, and fertilizer needs. In many areas, low soil nutrient stocks combined with high potential yield estimates lead to large fertilization gaps, while in other regions the gap is smaller due to relatively higher soil fertility or lower potential yields due to  moisture constraints.
These findings demonstrate that uniform fertilizer recommendations are unlikely to be effective under the diverse soil and climatic conditions of SSA. The proposed modelling framework provides a robust decision‑support tool for developing precision nutrient management strategies that align nutrient inputs with both crop demand and water availability. Such targeted approaches can help reduce nutrient losses to the environment, maintain soil fertility, and support sustainable intensification efforts across smallholder farming systems. This work highlights the potential of integrated soil–crop–climate modelling to guide context‑appropriate nutrient management solutions that enhance productivity while promoting soil and water conservation.

How to cite: Vavlas, N.-C., van den Dool, K., Tolomio, M., Schut, A., Berghuijs, H., de Wit, A., Mossa, A., Leenaars, J., Silatsa Tedou, F., Stewart, Z., Nagarajan, L., Kodjovi Ezui, G., Gaihre, Y., de Vries, W., and Ros, G.: Spatially Explicit NPK Fertilization Gaps Under Water‑Limited Conditions: An Integrated Modelling Approach for Sustainable Nutrient Management in Sub‑Saharan Africa, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19889, https://doi.org/10.5194/egusphere-egu26-19889, 2026.

EGU26-20640 | ECS | Posters on site | SSS9.2

Silica-Biochar (Si-char) control of nitrate leaching in a soil box experiment 

Azadeh Katebikord, Roger Funk, Mohammedawel Jeneto Mohammed, and Michael Maerker

Nitrate leaching is one of the major challenges in agricultural soils in variable climate conditions, causing changes in rainfall patterns influence soil water behavior and nutrient losses. Soil amendments such as biochar and silica have been introduced as an effective strategy to mitigate nitrate leaching by modifying soil water dynamics. However, their combined effects on water percolation and nitrate transport under repeated natural rainfall events are still not well understood. Therefore, in this study, we evaluated the hydrological behavior and nitrate leaching of soils amended with biochar and silica using a soil box experiment (60cm×30cm×20cm) conducted under natural conditions. Four treatments were selected for this project: a control, biochar (2% w/w), silica (1% w/w), and a combined biochar–silica (Si-char) treatment with three replications for each treatment. After preparing the soil, amendments, and soil boxes, the experiment started with an initial saturation phase to establish the same soil moisture conditions in different treatments. Five natural rainfall events were recorded in this phase. Percolation volumes and nitrate concentrations were measured after each rainfall event.

The results showed that across all five rainfall events, biochar and silica treatments reduced nitrate leaching compared to the control. However, the Si-char treatment consistently showed the lowest nitrate leaching, which is the most effective mitigation of nutrient losses. These results highlight the synergistic effects of amendments compared to single application of amendments. Statistical analysis using one-way ANOVA confirmed that nitrate leaching differed significantly among treatments during all rainfall events (p<0.05). In addition, ANOVA results for individual treatments across the events revealed contrasting response patterns. In the control treatment, the difference in nitrate leaching between rainfall events was significant, indicating high sensitivity to rainfall variability. On the other hand, the Si-char treatment showed fewer statistical groups between rainfall events, which indicates that it was more stable and has more predictable behavior in the face of changing rainfall conditions. The better performance of Si-char suggests that biochar and silica acted as a complement. Biochar likely increased soil nitrate retention, while silica contributed to more stable soil water retention and reduced sensitivity to rainfall variability. Together, these processes increased the residence time of water in the soil and limited nitrate transport beyond the root zone. Overall, the results showed that Si-char is the most effective treatment compared to others for reducing nitrate leaching under repeated rainfall events. This approach may be considered by land managers for sustainable nitrogen management in dry farming systems.

How to cite: Katebikord, A., Funk, R., Mohammed, M. J., and Maerker, M.: Silica-Biochar (Si-char) control of nitrate leaching in a soil box experiment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20640, https://doi.org/10.5194/egusphere-egu26-20640, 2026.

EGU26-21172 | Posters on site | SSS9.2

An AHP-TOPSIS Multi-Criteria Decision-Making Approach for NitrogenFertilization Management in Watermelon Cultivation 

Jose Maria Camara-Zapata, Francisco García Sánchez, and José Manuel Brotons Martínez

Nitrogen fertilization management has a significant impact on the sustainability of agricultural production. To facilitate decision-making for watermelon producers—a key crop in Mediterranean countries—a multi-criteria analysis was employed. This study determines the optimal nitrogen fertilization rate by integrating economic, social, agronomic, and environmental factors. The Analytic Hierarchy Process (AHP) was used to aggregate expert opinions on the importance of each criterion, revealing that economic and agronomic factors were the most critical. Subsequently, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) identified a rate of 200 nitrogen units as the optimal choice. Ultimately, this methodology promotes the sustainability of watermelon production in Mediterranean environments by optimizing nitrogen management.

How to cite: Camara-Zapata, J. M., García Sánchez, F., and Brotons Martínez, J. M.: An AHP-TOPSIS Multi-Criteria Decision-Making Approach for NitrogenFertilization Management in Watermelon Cultivation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21172, https://doi.org/10.5194/egusphere-egu26-21172, 2026.

EGU26-22660 | Posters on site | SSS9.2

Design and Development of a Decision Support System for Real-Time Nitrogen Management in Mediterranean Cropping Systems 

Pedro Hernández, Francisco García-Sánchez, Jose Maria Camara Zapata, and David Jorquera

Efficient nitrogen (N) management is a major challenge in Mediterranean agriculture due to high spatial variability, climatic constraints and increasing environmental pressure. To address these challenges, a decision support system (DSS), named TeleNitro DSS, was developed within a PRIMA project involving Spain, Italy, Morocco and Tunisia, targeting horticultural crops such as melon, pepper and broccoli to support real-time, field-specific nitrogen management.

The TeleNitro DSS integrates crop information, soil properties, irrigation water quality, climatic data and remote sensing products. Multispectral satellite imagery is used to derive vegetation indices related to crop vigor and nitrogen status, while field and laboratory measurements, including nitrate determination using ion-selective electrodes, are incorporated to improve diagnostic accuracy. The system architecture includes data acquisition and integration, intelligent analysis modules and a user-oriented interface.

The DSS provides actionable outputs such as nitrogen status diagnostics, fertilization recommendations and climate-informed alerts, enabling dynamic adjustment of nitrogen applications throughout the growing season. It also allows tracking of management decisions and agronomic outcomes, supporting continuous optimization of fertilization strategies.

The TeleNitro DSS is designed to improve nitrogen use efficiency, reduce fertilizer losses and support sustainable crop management through digital decision-making tools.

How to cite: Hernández, P., García-Sánchez, F., Camara Zapata, J. M., and Jorquera, D.: Design and Development of a Decision Support System for Real-Time Nitrogen Management in Mediterranean Cropping Systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22660, https://doi.org/10.5194/egusphere-egu26-22660, 2026.

EGU26-614 | ECS | Orals | SSS9.3

Salinity-induced the decrease of soil organic carbon controlled by micro-food web networks complexity in saline soil 

Xiangxiang Wang, Zhenke Zhu, Tida Ge, Xuefei Li, and Jianping Chen

Soil salinization undermines the soil structure and microbial carbon cycling efficiency. However, the pathways by which salt stress reorganizes the microbial food web to decrease soil organic carbon (SOC) and degrade soil quality remain poorly understood. We analyzed natural and agricultural sites of low- and high-salinity soils in coastal China according to SOC, soil quality index (SQI), microbial carbon use efficiency (CUE), microbial necromass carbon (MNC), enzyme activities, and microbial community composition. Compared to adjacent low-salinity soils, high-salinity soils exhibited lower SQI and SOC, CUE, and MNC (by 16.0–21.1%, 16.7–22.0%, and 34.8–40%, respectively) but double the maintenance respiration, indicating a shift from growth to survival metabolism. The SQI in highly saline soils was positively correlated with SOC, CUE, and MNC, but negatively associated with microbial C and P limitation, highlighting the pivotal role of microbially mediated C turnover in soil quality under salt stress. Salinity favored halotolerant Proteobacteria, Crenarchaeota, and protists, displacing key bacterial and fungal decomposers. Unexpectedly, network complexity increased (nodes by 50–80% and edges by 3–11‑fold) with heightened positive cohesion, reflecting close cooperative interactions that nonetheless intensified resource competition and accelerated SOC mineralization. Structural equation modeling revealed a cascade of effects, whereby salinity disrupted soil aggregation and nutrient balance, which increased network connectivity and reduced microbial metabolism efficiency, driving SOC loss and SQI decline. Saline soil management should therefore combine aggregate stabilization, inoculation with osmolyte‑producing microbes, and modular, resilient, food web architectures to sustain SOC sequestration and soil health.

How to cite: Wang, X., Zhu, Z., Ge, T., Li, X., and Chen, J.: Salinity-induced the decrease of soil organic carbon controlled by micro-food web networks complexity in saline soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-614, https://doi.org/10.5194/egusphere-egu26-614, 2026.

Drylands are expanding globally under climate change, intensifying pressures on soil organic carbon (SOC) and nutrient cycling in agricultural landscapes. In Brazil, semi-arid agroecosystems already experience recurrent droughts, high temperatures, and structural soil constraints, making carbon–nutrient dynamics highly vulnerable to warming and drying trends. Process-based ecosystem models are essential tools for evaluating the long-term sustainability of land-use strategies in these fragile environments. This study applied the DayCent model to quantify SOC and nitrogen (N) trajectories from 2024 to 2100 under the current climate and two IPCC scenarios (SSP2-4.5 and SSP5-8.5) across three representative dryland regions: Betânia do Piauí, Petrolina, and Sobral, each encompassing contrasting soil textures, land-use histories, and intensification agricultural gradients. Model calibration used field-measured SOC and N stocks (0–30 cm), soil properties, and detailed management records from native vegetation, conventional systems, grazed pastures, crop–livestock integration (CLI), and crop–livestock–forestry integration (CLFI). DayCent showed strong performance (SOC: R² = 0.97, RMSE = 2.09 Mg C ha⁻¹; N: R² = 0.73, RMSE = 0.55 Mg N ha⁻¹), indicating robust capacity to reproduce observed carbon–nitrogen stocks in these semi-arid systems. Simulations revealed that conversion of native vegetation, especially when associated with fire or low-input management, reduced SOC stocks by 5–20%. In contrast, agricultural intensification enhanced SOC in all regions, though responses varied by site and soil texture. In Betânia, integrated crop-livestock systems with annual fertilization combined with no-till farming stored approximately 37% more SOC stocks (75 Mg C ha⁻¹) compared to conventional tillage with fertilization every 5 years. In Petrolina, reduced grazing pressure and N fertilization increased SOC stocks relative to current grazing systems, while in Sobral, no-tillage consistently reduced SOC losses compared to conventional tillage, particularly in intercropping systems. Across all sites, climate change simulations showed pervasive SOC declines under SSP2-4.5 and SSP5-8.5, with the most pronounced losses under the high-emission scenario. Reductions were strongest in sandy soils and in systems with frequent soil disturbance. Although management intensification (fertilization, reduced grazing, and no-tillage) consistently mitigated SOC losses, no strategy fully compensated for the negative impacts of increased aridity and reduced precipitation. Integrated agricultural systems were the most resilient, partially buffering climate-induced SOC stock declines through greater biomass inputs. Overall, the results demonstrate that sustainable intensification can enhance SOC under present conditions, future climate change will reduce SOC stocks across all systems, and integrated and conservation-based strategies remain essential for slowing carbon depletion in Brazilian drylands. These findings highlight the need for climate-smart soil management policies focused on minimizing soil disturbance, enhancing nutrient availability, and increasing organic inputs to maintain carbon-nutrient resilience under intensifying aridity.

How to cite: Greschuk, L., Cherubin, M. R., and Ogle, S.: Sustainable agricultural intensification mitigates but cannot prevent soil carbon losses under climate change: A DayCent model approach., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-659, https://doi.org/10.5194/egusphere-egu26-659, 2026.

EGU26-1353 | ECS | Orals | SSS9.3

A Study of Universal ODE Approaches to Predicting Soil Organic Carbon 

Gottumukkala Veera Venkata Satyanarayana Raju

Soil Organic Carbon (SOC) is a foundation of soil health and global climate resilience, yet its
prediction remains difficult because of intricate physical, chemical, and biological processes. In this
study, we explore a Scientific Machine Learning (SciML) framework built on Universal Differential
Equations (UDEs) to forecast SOC dynamics across soil depth and time. UDEs blend mechanistic
physics, such as advection–diffusion transport, with neural networks that learn nonlinear microbial
production and respiration. Using synthetic datasets, we systematically evaluated six experimental
cases, progressing from clean, noise-free benchmarks to stress tests with high (35%) multiplicative,
spatially correlated noise. Our results highlight both the potential and limitations of the approach. In
noise-free and moderate-noise settings, the UDE accurately reconstructed SOC dynamics. In clean
terminal profile at 50 years (Case 4) achieved near-perfect fidelity, with MSE = 1.6 × 10−5, and
R2 = 0.9999. Case 5, with 7% noise, remained robust (MSE = 3.4×10−6, R2 = 0.99998), capturing
depth wise SOC trends while tolerating realistic measurement uncertainty. In contrast, Case 3 (35%
noise at t = 0) showed clear evidence of overfitting: the model reproduced noisy inputs with high
accuracy but lost generalization against the clean truth (R2 = 0.94). Case 6 (35% noise at t = 50)
collapsed toward overly smooth mean profiles, failing to capture depth wise variability and yielding
negative R2, underscoring the limits of standard training under severe uncertainty. Qualitatively, the
UDE framework consistently preserved broad SOC patterns, avoided overfitting in moderate noise,
and maintained physics-based plausibility even when data were corrupted. These findings suggest
that UDEs are well-suited for scalable, noise-tolerant SOC forecasting, though advancing toward field
deployment will require noise-aware loss functions, probabilistic modelling, and tighter integration
of microbial dynamics.

How to cite: Satyanarayana Raju, G. V. V.: A Study of Universal ODE Approaches to Predicting Soil Organic Carbon, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1353, https://doi.org/10.5194/egusphere-egu26-1353, 2026.

Abstract: Effective evaluation of cultivated land quality is crucial for sustainable agricultural management. Existing research often focuses on regional scales and lacks sufficient detailed analysis of spatial distribution and limiting factors at localized scales. This study aims to select the key indicators to evaluate cultivated land quality and analyze their influence on cultivated land quality at the county level. Taking Changtu County as the research area, principal component analysis (PCA) was employed to identify the most effective Minimum Data Set (MDS) for evaluation, including cultivated layer thickness, soil organic matter (SOM), pH, bulk density (BD), and cultivated layer texture. Additionally, an obstacle degree model was used to analyze restricting factors and their degrees of impact. Results showed that the constructed MDS could replace all indicators for cultivated land quality evaluation. Quality was higher in central areas and lower in eastern and western regions. SOM content decreases with the decrease of quality grade, significantly affecting the quality distribution, and pH in the medium category (Grades III and VI) cultivated lands were lower compared to other categories. Low organic matter content and low pH levels were the main obstacles affecting cultivated land quality, with average obstacle degrees of 43.5% and 29.3%, respectively. Low SOM content significantly affected land quality, particularly in the western region, whereas acidic soils in the eastern region influenced quality grade distribution. Thus, strategies for pH control and SOM enhancement are essential for improving cultivated land quality. This study provides valuable insights into sustainable agriculture.

How to cite: Qian, F.: Quality Evaluation and Limiting Factor Diagnosis of Cultivated Land in Changtu County, Northeastern China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2560, https://doi.org/10.5194/egusphere-egu26-2560, 2026.

EGU26-2786 | ECS | Posters on site | SSS9.3

From Soil Color to Carbon: A Generative AI and Nix Sensor Approach 

Rachna Singh, Somsubhra Chakraborty, and David C. Weindorf

Soil Organic Carbon (SOC) is a critical indicator of soil health, yet conventional laboratory-based estimation methods remain costly, time-consuming, and environmentally burdensome. This study evaluates a rapid, low-cost, and environmentally friendly alternative for SOC estimation using high-resolution color information acquired from a Nix Spectro 2 handheld sensor, integrated with machine learning and generative data augmentation approaches. A total of 641 soil samples collected across diverse agro-ecological regions of West Bengal, India, were analyzed using Random Forest, Gradient Boosting, XGBoost, and Artificial Neural Network models. To address data imbalance and limited sample representation at higher SOC ranges, synthetic datasets were generated using Gaussian Mixture Models (GMM), Generative Adversarial Networks (GAN), k-nearest neighbors–based augmentation, and bootstrapping techniques. Among the evaluated models, Random Forest achieved the best baseline performance (R² = 0.71), which further improved with GMM-based data augmentation (R² = 0.77). The results demonstrate the strong potential of combining handheld color sensing with generative artificial intelligence to develop more accurate, robust, and scalable SOC prediction frameworks.

How to cite: Singh, R., Chakraborty, S., and Weindorf, D. C.: From Soil Color to Carbon: A Generative AI and Nix Sensor Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2786, https://doi.org/10.5194/egusphere-egu26-2786, 2026.

Understanding the spatial and temporal variations of soil CO₂ efflux from heterotrophic respiration (HR) and straw decomposition (SDR) is essential for constraining cropland carbon budgets, yet long‑term assessments that distinguish these sources remain limited. Here, we developed process‑based models for HR and SDR using multi‑site field observations. The models were then applied across the North China Plain under the winter wheat–summer maize rotation system, driven by high‑resolution forcing data to generate 1 km, 8‑day simulations for 2003–2024. Validation with independent data showed high consistency between simulations and observations (HR: R² = 0.97; SDR: R² > 0.93). Average CO₂ efflux from HR and SDR was estimated at 505.5 ± 34.5 and 278.0 ± 84.5 g C m⁻² yr⁻¹, respectively. HR exhibited a pronounced latitudinal gradient, driven primarily by SOC content, whereas SDR showed a more gradual decline toward higher latitudes, associated with straw return amounts. Both fluxes peaked in summer, but HR displayed a substantially larger seasonal amplitude. Interannual HR increased significantly across the region (4.6 g C m⁻² yr⁻¹), largely in response to rising temperatures. SDR showed no significant trend before 2010 but increased sharply thereafter (9.3 g C m⁻² yr⁻¹), driven mainly by rising straw inputs following regional straw incorporation policies. The contribution of SDR to total soil CO₂ efflux increased from 27% in 2003–2010 to 39% in 2011–2024, highlighting the need to better account for residue‑derived CO₂ when evaluating cropland carbon processes. Collectively, the findings clarify how climate and management interact to regulate cropland CO₂ emissions and strengthen the process basis for agricultural carbon modeling.

How to cite: Zhao, H., Wang, X., Xu, M., and Smith, P.: Spatial and temporal variations of soil CO₂ efflux from heterotrophic respiration and straw decomposition in the North China Plain over 2003-2024: process-based model, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3164, https://doi.org/10.5194/egusphere-egu26-3164, 2026.

EGU26-4434 | ECS | Orals | SSS9.3

Comparing tools for determining crop nutrient requirements 

Octavian Chiriac, Zsofia Bakacsi, Bela Pirko, María-Llanos López, Elena Pareja, Gunther Liebhard, Peter Strauss, Kun Zhu, José A. Gómez, Javier Montoliu, Barbora Jachymova, Josef Kraza, Matteo Ruggeri, Benedetta Volta, Gema Guzmán, Yangyang Li, Dimitre Nikolov, Ian Dodd, Csilla Hudek, and Laura Zavattaro

By carefully balancing the use of nitrogen, phosphorus and potassium fertilisers with crop demands, a nutrient management plan (NMP) aims to enhance crop production while reducing environmental harm due to over fertilisation. As several tools with different complexities can assist farmers in their fertiliser decisions, the characteristics of 14 of the most widely used NMP tools across Europe, China, and New Zealand were compared. All NMP tools considered the field spatial scale, seasonal time scale, and utilised a mass balance approach. To evaluate the tools, matrices of presence/absence of 24 characteristics for their practical use, 22 nutrient cycle processes and 38 required input data were compiled, and cumulative scores were calculated. In addition, two case studies were performed to compare the outputs of NMP tools. Decision support systems such as grano.net®  and TUdi tool were highly adaptable and comprehensively described nutrient processes while considering many inputs. By considering only the most important nutrient processes and requiring fewer inputs, software such as PLANET_MANNER and spreadsheets such as Fert_Office were moderately adaptable. Conversely, reference tables tools such as MEM-NAK and Bulgarian tool considered only essential nutrient processes and few inputs and demonstrated limited adaptability. Fertiliser recommendations varied considerably, mainly due to differences in calculating crop nutrient uptake. For a broader application of the NMP tools, differences in the algorithms used to estimate each process, in soil and climate conditions, and in national regulations must be considered. Furthermore, interoperability should be improved in next-generation NMPs to enable data exchange between platforms

How to cite: Chiriac, O., Bakacsi, Z., Pirko, B., López, M.-L., Pareja, E., Liebhard, G., Strauss, P., Zhu, K., Gómez, J. A., Montoliu, J., Jachymova, B., Kraza, J., Ruggeri, M., Volta, B., Guzmán, G., Li, Y., Nikolov, D., Dodd, I., Hudek, C., and Zavattaro, L.: Comparing tools for determining crop nutrient requirements, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4434, https://doi.org/10.5194/egusphere-egu26-4434, 2026.

EGU26-4693 | ECS | Orals | SSS9.3

Well-facilitated Farmland Construction enhances soil organic carbon storage in China 

Zheng Wang, Ruiying Zhao, Jie Xue, Rui Lu, Zhongxing Chen, Qiangyi Yu, Wei Chen, Qichun Zhang, Zhou Shi, and Songchao Chen

Soil organic carbon (SOC) is central to regulating the global carbon cycle and underpinning food security, yet unsustainable cultivation has resulted in a continuing SOC loss and has made it highly vulnerable to climate change. In China, the Well-Facilitated Farmland Construction (WFC) initiative has sought to enhance soil conditions by integrating farmland management units (FMUs) and adopting improved practices, including optimized irrigation, straw incorporation, and targeted fertilization strategies. Since its launch in 2013, the WFC project has been implemented across more than 50 million hectares of farmland in China. However, its spatio-temporal impacts on SOC remain poorly understood. To address this gap, we focused on three representative regions, Shunyi, Rudong, and Dangtu, to examine the impact of FMU integration. A total of 1,549 soil profiles were compiled to calibrate the process-based CENTURY model and simulate long-term variations in topsoil (0-20 cm) SOC density (SOCD) across Chinese farmlands. Results show that, following the WFC project, farmland fragmentation decreased while SOCD increased, with strong negative correlations between fragmentation degree and SOCD (-0.88 in Shunyi, -0.94 in Rudong, and -0.52 in Dangtu). These findings indicate that farmland patch integration contributes significantly to SOC sequestration. By comparing future SOC trajectories under traditional versus WFC practices, we found that WFC management offers substantial sequestration potential, increasing SOC stocks by 3.34 Pg under SSP1-2.6 and 2.86 Pg under SSP5-8.5 during 2030-2100 in Chinese farmlands. This sustained increase reflects the synergistic effects of fertilization and elevated CO₂, enhanced crop productivity through optimized irrigation, greater organic inputs from straw incorporation, and reduced microbial decomposition under balanced nitrogen fertilization. In conclusion, WFC demonstrates a scalable pathway toward more resilient and climate-smart food systems.

How to cite: Wang, Z., Zhao, R., Xue, J., Lu, R., Chen, Z., Yu, Q., Chen, W., Zhang, Q., Shi, Z., and Chen, S.: Well-facilitated Farmland Construction enhances soil organic carbon storage in China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4693, https://doi.org/10.5194/egusphere-egu26-4693, 2026.

EGU26-5878 | Posters on site | SSS9.3

Implementation of the TUdi APP Decision Support Tool for soil health assessment in commercial farms 

María-Llanos López Gonzalez, Elena Pareja-Serrano, Iria Benavente-Ferraces, and Gema Guzmán

Maintaining soil fertility in areas at risk of soil degradation is crucial, particularly given their vulnerability in the current context of climate change. Decision Support Tools (DSTs) designed specifically for farmers are essential for evaluating risks for soil health, analysing the impact of agricultural practices, and defining strategies to mitigate the negative impacts on soil health. The TUdi DSTs (available in mobile app and web format) integrate tools for farmers that address different types of soil degradation processes, such as soil biology, erosion, compaction, structure, soil organic carbon dynamics and fertilization, with the aim of restoring and enhancing soil health.

This work presents the results of the operational implementation of the TUdi APP on a commercial farm under arid conditions. The TUdi APP was used to monitor and mitigate actual and potential risks related to soil erosion and fertility loss across different crops and fields, fostering more sustainable agricultural practices.

How to cite: López Gonzalez, M.-L., Pareja-Serrano, E., Benavente-Ferraces, I., and Guzmán, G.: Implementation of the TUdi APP Decision Support Tool for soil health assessment in commercial farms, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5878, https://doi.org/10.5194/egusphere-egu26-5878, 2026.

EGU26-6791 | Orals | SSS9.3

Biomineralisation of inorganic carbon by agroforestry species in East Africa: The oxalate carbonate pathway of fig trees in Samburu County, Kenya 

Mike C. Rowley, Guillaume Cailleau, Lydia A. Olaka, Sharon E. Bone, Jasquelin Pena, Guido L. B. Wiesenberg, Aviram Rozin, Ciriaco McMackin, Dmitry Tikhomirov, Marcus Schiedung, Grittje A. Hoppe, Lindsay Vaughan, Harrison Lisabeth, Peter Nico, Camille Rieder, Shubhendu Dasgupta, and Saskia Bindschedler

Soils store both organic (SOC) and inorganic carbon (SIC), yet biogenic processes driving SIC formation remain poorly quantified. One such process is the oxalate-carbonate pathway (OCP) where plant-derived calcium oxalate is transformed by oxalotrophic microorganisms into SIC, which can sequester atmospheric CO₂ in non-calcareous soils. Yet, the OCP has rarely been investigated in connection to trees with significant agroforestry potential. To further investigate the OCP and its connection to species with agroforestry potential, we investigated three East African fig species (Ficus glumosa, F. natalensis, and F. wakefieldii) in semi-arid Samburu County, Kenya.

Across contrasting parent materials devoid of primary carbonates, soils adjacent to fig trees exhibited significantly higher pH, exchangeable Ca, SOC, and SIC content compared to control soils, indicating the trees maintained hotspots of distinct biogeochemical conditions. Fig biomass samples contained substantial calcium oxalate contents (4.9±0.5 % dry weight), predominantly as prismatic whewellite crystals (CaC2O4.H2O). Calcium carbonate coatings were observed on trunks and roots of all three species, which reacted strongly to hydrochloric acid. Synchrotron-based μ-X-ray Fluorescence coupled with μ-X-ray absorption near-edge structure spectroscopy (Ca K-edge) revealed that CaCO₃ had precipitated deeply into woody tissues, providing direct evidence for aboveground OCP. Amplicon-based sequencing showed diverse and abundant microbial communities on the aboveground biomass, litter, roots, and adjacent soils. In addition, a co-occurrence analysis of fungal and bacterial communities showed specific fungal genera and fungal oxalate-producers are tightly linked to known baterial oxalotrophs, indicating that bacterial-fungal interactions could be essential for oxalotrophy. Combined these results demonstrate an active OCP both above and belowground in connection to the food-providing fig trees (Ficus spp.) of semi-arid East Africa.

Our findings identify East African fig trees as previously unrecognised drivers of biogenic SIC sequestration. Integrating specific fig species into agroforestry systems could therefore represent a novel nature-based solution that couples food production with SOC and long-term SIC storage in dryland landscapes.

How to cite: Rowley, M. C., Cailleau, G., Olaka, L. A., Bone, S. E., Pena, J., Wiesenberg, G. L. B., Rozin, A., McMackin, C., Tikhomirov, D., Schiedung, M., Hoppe, G. A., Vaughan, L., Lisabeth, H., Nico, P., Rieder, C., Dasgupta, S., and Bindschedler, S.: Biomineralisation of inorganic carbon by agroforestry species in East Africa: The oxalate carbonate pathway of fig trees in Samburu County, Kenya, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6791, https://doi.org/10.5194/egusphere-egu26-6791, 2026.

Assessing soil macronutrients across diverse landscapes requires a transition from conventional, time-consuming, and labour-intensive wet chemistry analysis to rapid, low-cost, and non-destructive proximal sensing techniques. In this study, the individual performance as well as the synergistic potential of Portable X-ray Fluorescence Spectrometry (PXRF) and Visible–Near-Infrared (VisNIR; 350–2500 nm) diffuse reflectance spectroscopy were evaluated to enhance the prediction accuracy of soil available Nitrogen(N) and available Phosphorus(P). A total of 609 soil samples were collected from agricultural fields across West Bengal, India, representing a wide range of land-use patterns. Laboratory analysis of N and P served as the ground-truth data for evaluating several machine learning architectures. For individual sensor modelling, Linear Regression (LR), Random Forest (RF), Support Vector Regression (SVR), Partial Least Squares Regression (PLSR), and Extreme Gradient Boosting (XGBoost) models were independently developed for the PXRF and VisNIR datasets to assess their standalone predictive performance. In addition, Granger–Ramanathan Averaging (GRA) was implemented for multi-sensor data fusion using two strategies. The first was a linear approach in which Artificial Neural Networks (ANN) served as base learners with Ordinary Least Squares (OLS) as the meta-learner. The second was a non-linear approach in which RF replaced the linear meta-learner to capture complex data interactions. The results demonstrated that the prediction performance of the single-sensor models was poor but was improved through the GRA fusion framework. The GRA approach with OLS regression showed a slight improvement for P (R² = 0.45, RMSE = 63.20 Kg/ha, ratio of performance to interquartile distance (RPIQ) = 0.89) and N (R² = 0.17, RMSE = 68.86 Kg/ha, RPIQ = 0.96) compared with PXRF and VisNIR in isolation. However, GRA with a non-linear RF meta-learner significantly outperformed the linear strategies and markedly enhanced prediction accuracy for N (R² = 0.85, RMSE = 29.54 Kg/ha, RPIQ = 2.23) and P (R² = 0.87, RMSE = 31.18 Kg/ha, RPIQ = 1.80). These findings indicated that although multi-sensor fusion consistently outperformed single-sensor models, the relationship between sensor data and soil N and P concentrations was fundamentally non-linear. Consequently, these nutrients required the complex weighting capabilities of non-linear architectures, which traditional linear models failed to capture. This methodology offers a scalable solution for assessing soil health in tropical agroecosystems and encourages further exploration of digital mapping approaches for additional soil nutrients.

How to cite: Dam, U. and Chakraborty, S.: Optimizing Multi-Sensor Fusion Architectures: The Role of Non-Linear Meta-Learning in Predicting Soil Nitrogen and Phosphorus, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6859, https://doi.org/10.5194/egusphere-egu26-6859, 2026.

EGU26-7375 | ECS | Orals | SSS9.3

From simple to complex: Evaluating methods for estimating soil organic carbon changes in croplands 

Konstantin Aiteew, René Dechow, and Axel Don

The importance of agricultural soils as a potential carbon sink has been extensively discussed as a key step towards climate neutrality and sustainable land use. Typical measures that could enhance soil organic carbon (SOC) stocks include cover cropping, perennial crops, or establishing hedgerows or agroforestry systems. Targeted advisory services and financial incentives, including subsidies or carbon credit trading systems, could encourage farmers to establish these measures. However, accurately assessing their contribution to climate protection via enhanced SOC stocks remains challenging. Taking soil samples every few years can fulfil this purpose, but they are costly, labour-intensive, require a careful sampling regime and usually a period of at least ten years to detect significant differences in SOC stocks. As a result, various estimation methods are discussed as an alternative. However, there is currently no consensus as to which approach best balances accuracy, feasibility and practicality. This study evaluates five different methods and models of varying complexity to estimate SOC stock changes, using data from 46 German permanent soil monitoring sites. Included in the assessment is the VDLUFA humus balance method as well as the process-based model RothC, which is run with two variants regionally averaged and site-specific. Our results confirmed previous conclusions, that simple carbon balance methods perform poorly if no site-specific pedoclimatic information is considered in the methodology. By comparison, the RothC model achieved significantly better predictive performance, especially if executed with site-specific information. A hybrid approach integrating properties of the RothC model with the simplicity of the VDLUFA method achieved a comparable predictive performance while reducing methodological complexity. Our findings provide insights into the trade-offs between model complexity and prediction accuracy, offering recommendations on their applicability for climate policy and agricultural decision-making.

How to cite: Aiteew, K., Dechow, R., and Don, A.: From simple to complex: Evaluating methods for estimating soil organic carbon changes in croplands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7375, https://doi.org/10.5194/egusphere-egu26-7375, 2026.

EGU26-8057 | Orals | SSS9.3

Fifteen years of soil organic carbon field measurements in rainfed and irrigated cropland soils across Brazil's Cerrado reveal mixed trends 

Marcos Heil Costa, Isabella Espindola, and Everardo Chartuni Mantovani

We present soil organic carbon (SOC) data collected from 2010 to 2025 across 146 rainfed and 34 irrigated cropland plots in sandy soils in Western Bahia, a heavily cultivated area in Brazil's Cerrado. Rainfed fields are cropped once annually, while irrigated fields are cultivated twice yearly. Data from 143 plots were gathered from the 0-20 cm layer between 2010 and 2018, and data from 40 plots from 0-100 cm were collected between 2017 and 2025. All plots had native vegetation cleared prior to 1990. The analysis reveals two distinct patterns: rainfed soils appear stable, with no significant carbon changes in both the 0-20 and 0-100 cm layers. Conversely, irrigated soils increased by 2.6% per year (p=0.066) from 2010 to 2018, but declined by -5.75% per year (p<10-5) from 2017 to 2025. In 2018, irrigated fields had higher SOC levels (p=0.034) than rainfed fields, but by 2025, the difference was not significant (p=0.423). Both systems showed no significant difference from the original Cerrado ecosystem (p=0.269 and 0.455, respectively, based on 2018 data). It seems that rainfed soils have reached a long-term equilibrium similar to that of the native Cerrado. The trend in irrigated soils, however, remains puzzling, showing fluctuations from increases to decreases. A combination of high water availability and increased temperatures may have contributed to the decline in SOC in recent years.

 

How to cite: Heil Costa, M., Espindola, I., and Chartuni Mantovani, E.: Fifteen years of soil organic carbon field measurements in rainfed and irrigated cropland soils across Brazil's Cerrado reveal mixed trends, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8057, https://doi.org/10.5194/egusphere-egu26-8057, 2026.

EGU26-8331 | Posters on site | SSS9.3

Optimizing soil carbon and CO2 emission prediction: a integration of machine learning algorithms and VIS/NIR data inputs 

Paulo Teodoro, Larissa Teodoro, Natielly Silva, Rafael Ratke, Dthenifer Santana, and Cid Campos

Climate change and the intensification of anthropogenic activities affect the dynamics of carbon in the soil, resulting in losses in stock and increased emissions of carbon dioxide (CO2) into the atmosphere. The balance between the continuous input and output of carbon in the soil, as well as its sequestration from the atmosphere, contributes to the formulation of strategies to mitigate climate change and global warming. Our hypothesis is that it is possible to accurately predict soil CO2 emissions and soil organic carbon (SOC) stock using hyperspectral sensing and machine learning (ML) algorithms. The objectives of the study were: (i) to predict CO2 emission and SOC stock using hyperspectral sensor and ML algorithms; (ii) to identify algorithms and dataset inputs with the highest accuracy in predicting CO2 emission and SOC stock. Samples were collected from three biomes in the State of Mato Grosso do Sul, Brazil: Cerrado, Atlantic Forest, and Pantanal. Within each biome, four land use classes were assessed: agriculture, pasture, eucalyptus plantations, and native vegetation. Data was collected from 100 points distributed in each area within each biome. In all sample point, carbono stock was measured in three deepths (0-10cm, 10-20 cm, and 20-40 cm). In situ soil CO2 (FCO2), temperature and moisture measurements were also performed. Hyperspectral data were collected by a sensor in each sample point and then the spectral bands used by MODIS sensor (seven bands) were obtained. Data were submited to ML analysis, in which two input configurations in the dataset were tested: using all the bands provided by the hyperspectral sensor (ALL) and using only the bands used by the MODIS sensor (B). Carbon stock at the three depths, FCO2, soil temperature and moisture were used as output in datasets. ML models tested were: Artificial Neural Network (ANN), Decision Tree models REPTree and M5P, Random Forest (RF), Support Vector Machine (SVM), and a simple model used as control (ZeroR). Our findings reveal that the use of hyperspectral sensing and ML algorithms enables accurate prediction of CO2 emissions and SOC stock. The choice of ML model for accuratelly predicting soil CO2 emissions and carbon stocks is dependent on the input variables used in the datasets, in which SVM provides the highest accuracy when applied to all spectral bands, while RF shows better performance when using the MODIS bands. Therefore, the approach used here can provide large-scale estimates of soil CO2 emissions and organic carbon stock.

How to cite: Teodoro, P., Teodoro, L., Silva, N., Ratke, R., Santana, D., and Campos, C.: Optimizing soil carbon and CO2 emission prediction: a integration of machine learning algorithms and VIS/NIR data inputs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8331, https://doi.org/10.5194/egusphere-egu26-8331, 2026.

EGU26-8337 | Posters on site | SSS9.3

Mitigating climate change through sustainable land management: insights from soil carbon stock analysis in Brazil 

Cid Naudi Silva Campos, Larissa Pereira Ribeiro Teodoro, Natielly Pereira da Silva, Rafael Felippe Ratke, Dthenifer Santana Cordeiro, Paulo Eduardo Teodoro, and Marcia Leticia Monteiro Gomes

Land use and land cover (LULC), as well as the biome in which they are located, influence soil carbon stocks. Tropical soils hold a significant portion of the world’s carbon stocks, a result of high temperatures, precipitation, and management practices that drive temporal variability in soil respiration. Based on this context, the hypothesis of this study is that land use and land cover influence soil carbon stocks. Therefore, the objective of this study was to evaluate soil carbon stocks under different LULCs in the Cerrado, Pantanal, and Atlantic Forest biomes, located in the state of Mato Grosso do Sul, Brazil. The following land uses and covers were assessed in each biome: agriculture (represented by soybean cultivation), well-managed pasture, eucalyptus plantation, and native vegetation. Carbon stocks were quantified by analyzing total soil carbon in the 0–10, 10–20, and 20–40 cm layers at 100 sampling points for each LULC and biome. Principal component analysis (PCA) was performed to identify interrelationships between carbon stocks at different depths across LULCs and biomes. A Pearson correlation network was also constructed to graphically represent correlations between LULCs × depths and biomes × depths for soil carbon stock contents. Our findings reveal variation in soil carbon stocks in relation to land use, land cover, and the corresponding biome. Cerrado biome exhibited the highest carbon stocks under eucalyptus, pasture, and agriculture at the 20–40 cm depth, while the lowest carbon stocks were observed in the Atlantic Forest biome under agricultural use at the 0–10 and 20–40 cm depths. Identifying the main LULCs that contribute to carbon sequestration in each biome is essential for establishing greenhouse gas mitigation targets, thereby contributing to the minimization of global climate change.

How to cite: Silva Campos, C. N., Pereira Ribeiro Teodoro, L., Pereira da Silva, N., Felippe Ratke, R., Santana Cordeiro, D., Eduardo Teodoro, P., and Leticia Monteiro Gomes, M.: Mitigating climate change through sustainable land management: insights from soil carbon stock analysis in Brazil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8337, https://doi.org/10.5194/egusphere-egu26-8337, 2026.

EGU26-8353 | Posters on site | SSS9.3

Microbial diversity mirrors carbon stocks and emissions in soils under contrasting land uses in Brazil 

Larissa Teodoro, Natielly Silva, Rafael Ratke, Dthenifer Santana, Paulo Teodoro, and Cid Campos

Soils contain a great diversity of microorganisms. Edaphoclimatic characteristics and land use affect the biological diversity of the soil. The hypothesis of this study is that the land use influences the diversity of fungi and bacteria and is correlated with the stock and emission of carbon in the soil. The aim was to identify which land uses, among native forest, agriculture, pasture and eucalyptus, in the three biomes of the State of Mato Grosso do Sul, Brazil (Cerrado, Atlantic Forest and Pantanal), have the highest microbiological diversity and to understand this relationship with soil carbon emissions and stocks. Carbon stock was assessed by analyzing total soil carbon in the layers sampled (0-10, 10-20 and 20-40 cm) at 100 sampling points for each land use and biome, while carbon emission was assessed at the same points using an EGM 5 portable device. Soil samples were grouped into a composite sample for each use and biome for microbiological identification analysis. Bacteria and fungi were identified using the 16S rRNA sequencing method and ITS1/ITS2 PCR, respectively. Our findings reveal that the abundance and diversity of bacteria and fungi is influenced by land use and biome. Cerrado has lower carbon emissions and higher stocks, and a high incidence of beneficial microorganisms of the genera Metarhizium and Bacillus and pathogenic microorganisms of the genera Penicillium and Fusarium. Atlantic Forest biome has higher carbon emissions and lower carbon stocks, and a higher number of beneficial microorganisms of the Bacillus genus. There was a greater carbon emission and stock in the pasture, with a high number of Bacillus, low temperature and high humidity. Agriculture emitted less carbon and stored little, with the presence of Fusarium and a moderate amount of Bacillus.

How to cite: Teodoro, L., Silva, N., Ratke, R., Santana, D., Teodoro, P., and Campos, C.: Microbial diversity mirrors carbon stocks and emissions in soils under contrasting land uses in Brazil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8353, https://doi.org/10.5194/egusphere-egu26-8353, 2026.

EGU26-11030 | ECS | Posters on site | SSS9.3

From Ground Truth to Regional Insights: Soil Organic Carbon Predictions in Heterogeneous Landscapes using ML and multipurpose sampling 

Miljana Marković, Sanja Brdar, Kristina Kalkan, Maja Knežević, and Tijana Nikolić Lugonja

Soil Organic Carbon (SOC) stocks in natural and semi-natural ecosystems remain poorly quantified in intensively cultivated lowland regions, such as Vojvodina, Serbia, which is part of the Pannonian Basin. To address this gap, we developed a general framework for large-scale, multipurpose soil sampling. The study further investigates the potential of machine learning-based regression and classification approaches to predict SOC stocks in forest and grassland ecosystems using diverse land cover and soil-related indicators as key predictors.
Spatial clustering for the planning of soil sampling was conducted by combining information from different sources. To implement a systematic and stratified sampling scheme, we followed the LUCAS methodology. Natural and semi-natural forest and grassland areas were delineated using Copernicus LULC data. An exploratory analysis was conducted using climate variables from C3S Copernicus (2015–2024) and soil properties (soil order and type, and silt, sand, and clay proportions) to identify spatial clusters suitable for field sampling. Further, forests and grasslands were clustered separately using an unsupervised K-prototypes approach. Based on this approach, 62 representative locations were identified across forests and grasslands, from which a total of 186 soil samples were collected using composite sampling at three sites per location.
Land cover features were collected along 250 m transects at each location, and landscape heterogeneity was quantified using LUCAS-based diversity indicators derived from the same transects. For machine learning–based SOC stock prediction, these indicators were combined with soil descriptors, including soil texture, soil type, and geomorphology-based soil groups, as well as spatial cluster information for forest and grassland areas. SOC stock values were averaged per location, and forest and grassland samples were jointly used in the modeling to capture landscape heterogeneity.
Regression modeling aimed to predict continuous SOC stock values, while classification categorized SOC stock into low, medium, and high levels based on thresholds derived from K-means clustering applied to the observed SOC distribution. Among the regression models, Elastic Net achieved the highest performance, with an R² of 0.49 and an RMSE of 13.74 t ha⁻¹, indicating moderate predictive capability given the complexity of SOC stock dynamics and the limited sample size. In contrast, classification models demonstrated higher predictive reliability. Logistic Regression achieved the best performance, with an overall accuracy of 76.9% and a macro F1-score of 77.1%, suggesting that SOC stock can be more robustly distinguished across discrete classes than predicted as a continuous variable. Permutation importance analysis revealed that soil texture was the dominant predictor in both regression and classification models.
Overall, the findings highlight the combined importance of soil properties and landscape diversity indicators for SOC stock prediction in natural and semi-natural ecosystems. While continuous SOC stock prediction remains challenging, classification into discrete SOC stock classes provides higher accuracy and more stable performance, suggesting a more reliable framework for SOC stock assessment in heterogeneous landscapes. Independently, this study establishes the first SOC reference framework for natural and semi-natural ecosystems in Vojvodina, providing a conceptual basis for spatial analysis and mapping.

How to cite: Marković, M., Brdar, S., Kalkan, K., Knežević, M., and Nikolić Lugonja, T.: From Ground Truth to Regional Insights: Soil Organic Carbon Predictions in Heterogeneous Landscapes using ML and multipurpose sampling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11030, https://doi.org/10.5194/egusphere-egu26-11030, 2026.

EGU26-11327 | ECS | Posters on site | SSS9.3

Soil organic carbon dynamic  in artificial soils under different treatments 

Javier Bravo Garcia, Maria Anaya Romero, and Francisco José Blanco Velázquez

Artificial soils known as technosols are increasingly promoted as a nature-based solution for land restoration and carbon sequestration, yet their long-term capacity to store and stabilise soil organic carbon (SOC) remains poorly constrained. This study evaluates the dynamics, stability and sequestration potential of carbon in experimentally constructed soils under contrasting mineral and organic amendments in Galicia (NW Spain). Six treatments (including artificial soils with and without biochar and dunite, a dunite residue soil and an untreated control) were monitored at two depths (0–15 and 15–30 cm) over an 11-month field campaign and combined with process-based modelling to assess medium-term SOC trajectories.

A comprehensive laboratory dataset including physico-chemical properties (pH, electrical conductivity, bulk density), nutrient status, and functional carbon fractions (CWE, CHE, REM, CFA, CHA, REC) was analysed using multivariate statistics. Principal component analysis revealed that the first two components explained 65–75% of total variance, with PC1 driven by total and organic carbon and PC2 reflecting carbon quality and stabilisation, largely controlled by C/N ratio. Treatments containing biochar (particularly when combined with dunite) exhibited the highest stocks of recalcitrant carbon and the most advanced progression towards stabilised organic matter.

These experimental data were integrated into a multimodel ensemble (RothC, ICBM, Century, Yasso07, AMG and SG) implemented in R using the SoilR framework. After a 1000-year spin-up, 10-year forward simulations were run under two contrasting carbon-input scenarios (2.8 and 5.8 Mg C ha⁻¹ yr⁻¹). The ensemble showed strong sensitivity to amendment type and carbon inputs. Biochar-based technosols consistently produced the highest SOC stocks, with the biochar + dunite treatment gaining up to +5.3 Mg C ha⁻¹ over 10 years under high-input conditions. Conversely, soils without biochar exhibited either near-equilibrium behaviour or limited sequestration capacity.

Overall, the results demonstrate that combining biochar with mineral amendments creates synergistic mechanisms for long-term carbon stabilisation in artificial soils. The multimodel approach provides a robust framework for quantifying uncertainty and supports the deployment of engineered technosols as effective, scalable carbon sinks in land restoration strategies.

How to cite: Bravo Garcia, J., Anaya Romero, M., and Blanco Velázquez, F. J.: Soil organic carbon dynamic  in artificial soils under different treatments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11327, https://doi.org/10.5194/egusphere-egu26-11327, 2026.

EGU26-12449 | Orals | SSS9.3

Contrasting soil carbon stock changes across European agricultural ICOS ecosystems 

Bruna Winck, Nicolas Saby, and Benjamin Loubet and the ETC-Soil & ICOS Station Teams

Measuring soil organic carbon (SOC) stock changes across space and time is crucial for comprehending ecosystem responses to climate variability, land-use change, and agricultural management. However, long-term comparisons remain challenging due to differences in sampling designs, analytical methods, and data structures.

From an integrative approach combining soil depth harmonization, equivalent soil mass method, and statistical analyses, we quantified soil organic carbon (SOC) stock changes across contrasting ecosystems within the Integrated Carbon Observation System infrastructure (ICOS). Historical and labeled? ICOS soil data were harmonized using several complementary approaches. Soil depth limits were harmonized using cubic spline interpolation and a non-model approach based on a 1-mm depth discretization and soil organic carbon (SOC) stocks were compared using equivalent soil mass approach. The comparisons between sampling campaigns were further constrained by accounting for the spatial occurrence of sampling points within similar soil types, defined by comparable coarse fragment contents and similar soil texture. The design-based approach was applied to compare SOC stocks between sampling campaigns. Differences in SOC stocks were assessed using Welch’s t-test, which does not assume equal variances.

Results show that cumulative soil organic carbon (SOC) stock changes in the ~0-60 cm layer are strongly site-dependent, with no consistent trend observed across sites sharing the same land-use type. At the Grignon station (FR-Gri), SOC stocks decreased significantly by 950 ± 40 g C m-2 over 13.2 years (2005-2019), and at the Estrées-Mons A28 station (FR-EM2), a significant SOC loss of 318 ± 145 g C m-2 was observed over 6 years (2015-2021). In contrast, no detectable SOC stocks changes were observed at the Lamasquère station (FR-Lam, 2015-2020), the Lonzée station (BE-Lon, 2007-2017), and the Klingenberg station (DE-Kli, 2008-2019), although SOC stock changes at the latter site showed a non-significant tendency towards an increase (p = 0.07). Minimum detectable difference analysis demonstrates that only SOC losses at FR-Gri can be robustly detected with the current sampling design, while changes at other sites remain below detection limits, underscoring the importance of accounting for methodological sensitivity in long-term SOC assessments.

These differences among agricultural sites may be not related to land use per se, but rather to site-specific management practices, particularly the balance between organic carbon imports and exports, nitrogen fertilization, and soil type. At the Grignon station, observed SOC losses were consistent with simulations from the AMG model. Similarly, at the Lonzée site, the differences between soil inventories fell within the range simulated by RothC, indicating agreement between measured and modeled SOC stocks and supporting near-equilibrium conditions.

Overall, SOC stock changes were highly site-specific, with SOC losses detected only at Grignon, while changes at other sites were close to or below detection limits despite harmonizing the datasets obtained with different sampling methods. These results highlight the need for uncertainty-aware interpretations and monitoring designs optimized for detecting long-term SOC changes.

How to cite: Winck, B., Saby, N., and Loubet, B. and the ETC-Soil & ICOS Station Teams: Contrasting soil carbon stock changes across European agricultural ICOS ecosystems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12449, https://doi.org/10.5194/egusphere-egu26-12449, 2026.

EGU26-12513 | Orals | SSS9.3

Long-term deep seepage monitoring in temperate forests: lysimeter evidence of climate‑driven hydrological shifts in northeastern Germany 

Marco Natkhin, Maximilian Strer, Tobias Schad, Kai Schwärzel, and Tanja GM Sanders

Groundwater recharge is an ecosystem function provided by forests. At our intensive forest monitoring station “Britz” (Germany) we measure deep seepage, which later becomes ground water recharge, for various tree species and compositions with large scale lysimeters (each covering 100 m² of forest and a depth of 5 m) operating since the 1970s.

Those long-term observations show clear differences between species and forest compositions. With deep seepage being the difference between precipitation reduced by evapotranspiration, evergreen species show little seepage in most years. In dry years our Scots pine stand actually showed no deep seepage at all.

This changed in recent years, with extreme weather events leading to unprecedented seepage patterns. The continent‑wide, multi-year drought that began in 2018 had severe impact.  For the first time in 2019, the beech plot—normally a strong contributor to deep infiltration—recorded no measurable annual deep seepage. Conversely, extreme summer precipitation events occurred each year from 2018 to 2021. While this led to flooding in many regions of Germany, in Britz it led to a considerable proportion of the total annual deep seepage under pine stands.

These novel dynamics reshape our understanding of how deep seepage is generated and highlight the sensitivity of groundwater recharge in the north‑eastern German lowlands to extreme climatic fluctuations.

How to cite: Natkhin, M., Strer, M., Schad, T., Schwärzel, K., and Sanders, T. G.: Long-term deep seepage monitoring in temperate forests: lysimeter evidence of climate‑driven hydrological shifts in northeastern Germany, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12513, https://doi.org/10.5194/egusphere-egu26-12513, 2026.

EGU26-13116 | ECS | Orals | SSS9.3

Analytic derivation of a carbon turnover time stabilization model from a standard two-pool model 

Beatriz Valladão, Daniel Gonçalves, and Luís Barioni

Multi-compartment first-order kinetics models are commonly employed to represent soil organic carbon (SOC) dynamics. In such framework, SOC is partitioned into distinct theoretical pools, each characterized by its own first-order constant that determines its intrinsic potential decomposition rate. Models with only two interacting dynamic soil carbon compartments—such as RothC or ICBM—are commonly utilized in national inventories and carbon farming initiatives due to their simplicity and ease of initialization and parameter identifiability. Alternatively, streamlined soil carbon models can treat the potential fractional turnover rate of the soil layer (ρ)—the reciprocal of its turnover time—as a state variable, further minimizing the number of parameters required. Multicompartmental models can be represented via a matrix approach as a linear dynamical system, such as dC/dt = Bu + AKC, where C is the carbon stock vector, u represents external inputs, B the partition vector of input material, the matrix A defines the partitioning of carbon decomposed in each pool which is lost as CO2 or transferred to other pools. K defines each pool’s potential fractional turnover rate. Such formulation explicitly encodes both carbon exchanges between compartments, and so SOC stabilization, as well as its losses to the atmosphere. Considering the two-pool 2×2 model matrices with parameters A = [-1, a12, a21, -1], K = [k1, 0, 0, k2], and their product AK = [-k1, a12k2, a21k1, -k2], the derivative of the ratio between the compartment stocks, r = C1/C2, produces a quadratic Riccati-type differential equation dr/dt = a12k2 - (k1 - k2)r - a21k1r2 which can then be further algebraically manipulated to yield a quadratic equation of the variation of fractional turnover rate, i.e., dρ/dt = aρ2 + bρ + c. This continuous formulation is particularly relevant because it allows carbon decomposability to be represented as a state variable, rather than as a fixed property associated with discrete theoretical compartments. Consequently, SOC dynamics can be captured using only the measurable SOC stock coupled to an evolving potential fractional turnover rate (decomposability), enhancing model identifiability and initialization since total soil carbon is directly measurable in the field.

How to cite: Valladão, B., Gonçalves, D., and Barioni, L.: Analytic derivation of a carbon turnover time stabilization model from a standard two-pool model, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13116, https://doi.org/10.5194/egusphere-egu26-13116, 2026.

EGU26-13412 | ECS | Orals | SSS9.3

Modelling Soil Organic Carbon Stocks in Agriculture: Conservation Tillage Practices and Grassed Waterways under various Climate Scenarios in Lower Austria 

Marton Toth, Christine Stumpp, Cristina Vasquez, Andreas Klik, Peter Strauss, Gunther Liebhard, and Stefan Strohmeier

Soil organic carbon (SOC) sequestration plays a critical role in mitigating climate change and enhancing soil health; however, the effects of land management and climate change remain poorly quantified in agricultural landscapes. This study simulates SOC sequestration under different land uses and climate scenarios in a 28,311 ha Lower Austrian watershed. The impacts of land management change and climate scenarios on SOC stocks in the topsoil (0–15 cm) were modelled using the Rothamsted Carbon (RothC) model up to 2050. Four climate scenarios were considered: ‘Historical’, ‘SSP1-1.9’, ‘SSP2-4.5’, and ‘SSP5-8.5’. The results indicate that the implementation of two low-barrier but effective soil conservation practices - (i) grassed waterways and (ii) conservation tillage practices (mulch tillage and no-tillage) - could store more than 15,000 t C across the watershed by 2050. Grassed waterways and no-tillage could sequester up to 0.07 t C ha-1 yr-1, while mulch tillage could sequester up to 0.04 t C ha-1 yr-1 under the ‘Historical’ climate scenario. Among the future climate scenarios, only SSP5-8.5 notably reduced SOC sequestration, lowering rates to 0.06 t C ha-1 yr-1 for grassed waterways and no-tillage, and to 0.03 t C ha-1 yr-1 for mulch tillage. Overall, the study provides a scalable framework for assessing SOC sequestration under future land-management and climate scenarios, with direct relevance for carbon farming and certification schemes under current EU regulations such as the Carbon Removals and Carbon Farming Regulation (CRCF).

How to cite: Toth, M., Stumpp, C., Vasquez, C., Klik, A., Strauss, P., Liebhard, G., and Strohmeier, S.: Modelling Soil Organic Carbon Stocks in Agriculture: Conservation Tillage Practices and Grassed Waterways under various Climate Scenarios in Lower Austria, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13412, https://doi.org/10.5194/egusphere-egu26-13412, 2026.

EGU26-15513 | ECS | Posters on site | SSS9.3

Shading gradients shape soil microbial biomass carbon and carbon stability in a horticultural agri-photovoltaic field in Germany 

John Reige Malto Bendijo, Nicolas Brüggemann, Onno Muller, Matthias Meier-Grüll, Nina Siebers, Holger Wissel, Francisco Jesús Moreno-Racero, Laura Gismero Rodríguez, Christoph Jedmowski, and Otávio dos Anjos Leal

Agri-photovoltaic (Agri-PV) systems are increasingly implemented for combined food and renewable energy production, yet their impacts on soil carbon cycling and stabilization remain insufficiently understood. This study aimed to understand how shading in a horticultural Agri-PV field alters microbial activity, soil carbon (C) stocks and stability compared with a conventional open-field management in western Germany.

The experimental fields were established in 2021 and soils (homogeneous silt loam: 5% sand, 15% clay, 80% silt) were sampled (0–30 cm) in 2025 along replicated transects across under-panel (UP) and inter-row (GAP) zones in the Agri-PV field. This Agri-PV system consisted of south-facing, fixed-tilt PV modules inclined at 20° and mounted at a maximum height of 4.30 m. An adjacent, identically managed Control open-field was sampled using the same approach. We measured gravimetric soil water content, microbial biomass C (Cmic), aggregate size distribution (8–2 mm, <2 mm), total organic carbon (TOC) stocks, and organic carbon stocks in density organic matter fractions (free-light, FLF; occluded-light, OLF; mineral-associated, MAOC), together with δ¹³C of bulk soil and fractions.

Relative to the Control, Agri-PV soils showed degradation of biological functioning and carbon pools across UP and GAP zones. Soil moisture was 22–24% lower in UP zones and 11–21% higher in GAP zones, reflecting rainfall redistribution by the panel structures. Cmic declined by 39–48% in UP zones and by 18–26% in GAP zones. TOC stocks were 16–29% lower in Agri-PV than in the Control. FLF stocks declined by 44–72% in UP zones and by 36–45% in GAP zones, reflecting reduced plant growth and biomass addition to soil in Agri-PV field. This partially explains why OLF stocks were reduced by 45–53% in GAP zones, while MAOC declined by 20–29% in UP zones and 10–12% in GAP zones in the Agri-PV compared to respective sampling positions in Control. Carbon fractions were consistently enriched in ¹³C relative to the Control (+0.18‰ to +0.33‰ in Bulk Soil, up to +1.26‰ in FLF and +0.63‰ in OLF), indicating enhanced microbial processing and reduced fresh biomass inputs.

Within the Agri-PV system, strong spatial heterogeneity emerged due to shading. UP zones were 20–40% drier than GAP zones and contained 20–30% less Cmic. The <2 mm aggregate size percentage was 12–30% higher in UP zones than in GAP zones, indicating pronounced aggregate breakdown beneath the panels. These microenvironmental gradients drove a clear redistribution of carbon pools within the Agri-PV system: TOC, MAOC, and FLF stocks were 9–17%, 14–22%, and 13–53% higher in GAP than in UP, respectively, whereas OLF stocks accumulated preferentially in UP, where they were 36–70% higher than in GAP. No comparable spatial gradients were observed in the Control, indicating that the patterns in Agri-PV are attributable to shading.

Our results demonstrate that fixed-tilt south-facing Agri-PV systems can substantially disrupt soil C stabilization by simultaneously reducing biomass inputs and by destabilizing soil structure (in silt-rich soils), with important implications for long-term soil resilience and carbon stabilization.

How to cite: Bendijo, J. R. M., Brüggemann, N., Muller, O., Meier-Grüll, M., Siebers, N., Wissel, H., Moreno-Racero, F. J., Rodríguez, L. G., Jedmowski, C., and dos Anjos Leal, O.: Shading gradients shape soil microbial biomass carbon and carbon stability in a horticultural agri-photovoltaic field in Germany, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15513, https://doi.org/10.5194/egusphere-egu26-15513, 2026.

Organic soils store a disproportionately large share of terrestrial soil carbon and play a key role in climate change mitigation. However, their high spatial variability and sensitivity to sampling and preparation procedures make routine monitoring of soil organic carbon (SOC) and related properties challenging. In this study, we evaluated the potential of visible–near infrared (VIS–NIR, 350–2500 nm) spectroscopy for the assessment of SOC and pH in organic soils under both field-moist and laboratory-dried conditions.

A dataset of more than 300 organic soil samples, including peat, muck, gyttja, and mineral–organic soils, was collected from reference soil profiles across Poland at two depth intervals (0–20 cm and 40–60 cm). Spectral measurements were acquired using a PSR-3500 spectroradiometer. Principal component analysis (PCA) was used to explore spectral variability among soil types, while partial least squares regression (PLS) and support vector machine (SVM) models were developed for SOC and pH prediction. Model performance was evaluated using independent validation datasets.

PCA revealed clear separation of major organic soil groups, reflecting differences in organic matter composition and degree of decomposition. SOC prediction accuracy was consistently higher for models developed on dried samples, while models based on field-moist samples showed reduced but still informative performance. Among the tested approaches, SVM generally outperformed PLS for SOC prediction, although model performance varied depending on soil type and calibration subset. Predictions of soil pH were less accurate than those for SOC but captured broad trends relevant for monitoring applications.

Overall, the results indicate that VIS–NIR spectroscopy provides a robust and non-destructive tool for SOC and pH assessment in organic soils, particularly under standardized (dried) conditions. While moisture effects remain a limitation for field-moist measurements, the approach shows strong potential for supporting soil carbon monitoring and digital soil assessment frameworks in natural and agroecosystems.

How to cite: Debaene, G. and Bartosiewicz, B.: Monitoring soil organic carbon and pH in organic soils using VIS–NIR spectroscopy under field and laboratory conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17173, https://doi.org/10.5194/egusphere-egu26-17173, 2026.

EGU26-17826 | ECS | Posters on site | SSS9.3

Spatial patterns and modelling of soil organic carbon stocks across the northern boreal landscape   

Annika Reijonen, Anna-Maria Virkkala, Johanna Lehtinen, and Miska Luoto

Boreal soils are vital carbon reservoirs, playing a crucial role in the global carbon cycle. The northern boreal landscape is characterized by small-scale variations of forests, wetlands and fells, each with widely differing carbon stocks. These ecosystems are warming at rates significantly faster than the global average, making them a priority for climate change research. To better understand carbon dynamics, it is essential to investigate the factors influencing the magnitude and spatial distribution of carbon stocks.  

This study analyzed soil organic carbon (SOC) stocks, the environmental factors driving their spatial distribution, and the reliability of various modeling methods for SOC variability. The data set includes 217 soil organic matter and carbon content samples, total soil depth, soil organic layer thickness, and remote sensing data (land cover, topography, vegetation). SOC stocks were modeled and predicted across the entire study area using an ensemble of five approaches: Generalized Linear Models, Generalized Additive Models, Generalized Boosted Models, Support Vector Machines and Random Forest, validated with leave‑one‑out cross‑validation 

The results indicate that biotope, groundcover and soil wetness index are the primary factors influencing SOC variation, while secondary factors include slope, elevation and topographic position. Soil organic layer thickness ranges from 0.0 to 4.4 meters, with an average of 0.4 meters. The total estimated carbon stock for the 150 km² study area is approximately 1.86 Mt (14.3 kg/m²), with the highest stocks (205 kg/m²) found in aapa mire wetlands. The median leave-one-out cross validation result across the five methods was RMSE = 29.3, MAE = 14.0, and R² = 0.41. 

The study shows that fine‑scale variation in biotopes, groundcover and terrain‑driven wetness shapes SOC patterns across northern boreal landscapes. Valley‑bottom wetlands, especially aapa mires, hold exceptionally large carbon stocks and play a central role in the boreal carbon cycle. Robust carbon stock data is essential for improving climate predictions and guiding effective mitigation efforts. 

How to cite: Reijonen, A., Virkkala, A.-M., Lehtinen, J., and Luoto, M.: Spatial patterns and modelling of soil organic carbon stocks across the northern boreal landscape  , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17826, https://doi.org/10.5194/egusphere-egu26-17826, 2026.

EGU26-19672 | ECS | Orals | SSS9.3

Disentangling the interactions of soil nutrient cycles for sustainable agriculture 

Anna Strekalovskaya, Marcos Lana, Chantal Hendriks, Lars-Ove Westerberg, and Ian Brown

Balanced soil nutrient budgets are important for sustainable agriculture. Soil nutrient pools are interconnected within and between elements and balanced by natural processes. In intensive agriculture the excess of nutrients disrupts the balance, leading to increased leaching, volatilisation or other losses to the environment. Stabilisation of ions and molecules stores nutrients in the soil, which can make them unavailable, while mobilisation moves nutrients into available state, potentially causing leaching. This spectrum of availability is driven by different factors for each nutrient is connected to to other cycles in the soil system.

We propose a concept of "soil safe operating space" for agriculture - a state of soil  where mobilisation and stabilisation are balanced, making just enough nutrients available for plant uptake to grow optimally, so leaching is reduced. Finding that state and developing practices to reach it would improve the sustainability of agriculture greatly. To aid in this, first the interactions of nutrient dynamics and its drivers need to be clear. Therefore we synthesised connections between cycles of macronutrients C, N, P, K, Ca, Mg, S and micronutrients Cu and Zn based on a literature review of 175 articles in the field of soil chemistry. These connections also established the driving factors of the mechanisms and corresponding feedbacks. We analysed the results in the context of the classical management practice of target pH 6.5 as per the old nutrient availability diagrams. They showed that not all nutrients benefit from it, such as sulphate being leached, ammonium oxidated and phosphate adsorbed. This suggests that, depending on the agricultural targets, pH may be adjusted to achieve certain goals. The cross-cycle interactions also played a great role, with the concentrations and forms of one nutrient heavily affecting others via precipitation, fixation or adsorption. Phosphorus has the most mechanisms of interactions and factors reducing its availability, soil organic matter affects storage of most other nutrients and cycles of other macronutrients have nuanced reactions to soil factors like mineralogy, surface charge and solution concentrations. Facilitating some processes over others via controlling pH and moisture, organic matter addition or other amelioration practices would have more defined effects than setting a target pH while ignoring other factors.

This study provides a unique framework that helps modelling of soil chemistry because of its broad scope, connecting the various individual studies into an integrated system of cycles. Examples of such developments are presented in the model FarmSAFE of the project: 101060455 — NutriBudget.

How to cite: Strekalovskaya, A., Lana, M., Hendriks, C., Westerberg, L.-O., and Brown, I.: Disentangling the interactions of soil nutrient cycles for sustainable agriculture, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19672, https://doi.org/10.5194/egusphere-egu26-19672, 2026.

EGU26-19690 | ECS | Orals | SSS9.3

A baseline projection of soil organic carbon stocks in German mineral croplands 

Daria Seitz, Rene Dechow, Alexander Gocht, Andreas Laggner, Jörg Rieger, Cora Vos, and Roland Fuß

European policy aims to enhance soil organic carbon stocks in order to improve soil fertility and resilience and for mitigation of climate change. A sound impact assessment of measures requires robust baseline estimates of soil organic carbon (SOC) trends in a changing climate.

For the German greenhouse gas emission projections, we modelled organic carbon in mineral topsoils (0-30 cm) of German croplands on a 100m*100m grid for the time-period between 1990-2075. Our interdisciplinary high-resolution modelling approach took into account the projected impacts of recent agricultural policy on agricultural management as assessed by agro-economic models. Crop rotations for each field across Germany were created using a Bayesian approach combining agricultural statistics (past and projected), remote sensing data and information from the Integrated Administration and Control System (IACS). Climate change was included based on local weather projections derived by the German Weather Service from the RCP4.5 and RCP8.5 climate scenarios. Soil carbon and texture data were obtained from maps based on the German Agricultural Soil Inventory and the European LUCAS survey. Using these management, climate and soil data, we modelled the SOC dynamics with the SOC decomposition model RothC, which has been validated with data from German agricultural long-term observation sites.

Our simulations indicate a trend of declining SOC stocks. We attribute this to impacts of climate change and management changes towards lower livestock densities, which cause decreasing organic fertilizer application rates. Increased cover cropping area partly counterbalances this trend.

The projected SOC trends can be used as a business-as-usual or reference scenario to quantify the climate effect of carbon-enhancing agricultural measures.

How to cite: Seitz, D., Dechow, R., Gocht, A., Laggner, A., Rieger, J., Vos, C., and Fuß, R.: A baseline projection of soil organic carbon stocks in German mineral croplands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19690, https://doi.org/10.5194/egusphere-egu26-19690, 2026.

EGU26-20731 | ECS | Posters on site | SSS9.3

Assessing and modelling soil organic carbon dynamics in a mining spill restoration area 

Javier Bravo Garcia, Francisco José Blanco Velázquez, and María Anaya Romero

Soil organic carbon (SOC) is a key indicator of soil quality and an essential component in climate change mitigation. Its monitoring faces limitations when based solely on field data, which drives the search for complementary methodologies such as remote sensing and simulation models. The aim of this study was to assess the potential of integrating remote sensing–derived information into the estimation and modeling of SOC dynamics in the Guadiamar Green Corridor (Seville, Spain), an area undergoing restoration following the 1998 mining spill. Two methodological approaches were employed at landscape and sublandscape level: (i) the spatial prediction of SOC and clay content using a Random Forest (RF) model trained with Sentinel-2 spectral variables, and (ii) the simulation of SOC dynamics with the RothC model under seven boundary conditions (BC0–BC6), in which field-measured variables were progressively replaced by proxies obtained from remote sensing.

The Random Forest model showed moderate performance (R² ≈ 0.47 in training and validation), displaying spatial coherence between areas with higher clay content and higher SOC levels. In the case of RothC, except for BC1, all simulations reproduced a decreasing trend in SOC but did not reach the magnitude of loss observed in the field. Scenario BC2, which simulated with clay percentage data obtained through RF, showed the greatest similarity to the reference scenario (BC0), while BC5, based on remote sensing–derived potential evapotranspiration data, generated a marked underestimation of final SOC, highlighting the model’s sensitivity to this parameter. The results suggest that remote sensing is a valuable tool to complement field measurements in SOC modeling, especially in contexts with limited data availability. However, accuracy depends on the variable being substituted and on model calibration to the specific conditions of ecological restoration.

 

How to cite: Bravo Garcia, J., Blanco Velázquez, F. J., and Anaya Romero, M.: Assessing and modelling soil organic carbon dynamics in a mining spill restoration area, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20731, https://doi.org/10.5194/egusphere-egu26-20731, 2026.

EGU26-22071 | ECS | Orals | SSS9.3

Towards soil bulk density maps with quantified uncertainty in Mediterranean soils 

Giacomo Belvisi, Gabriele Buttafuoco, Luciano Gristina, and Riccardo Scalenghe

Soil Bulk Density (BD) is a key physical property integrating soil texture, structure, and soil organic carbon (SOC), and it exerts strong control on porosity, water and solute transport, root penetration, and gas exchange. Because BD links soil mass to volume, it is also a critical conversion factor for estimating SOC stocks. Even small methodological biases in BD determination can therefore propagate into substantial uncertainties in SOC stock estimates, with direct implications for soil health assessments, carbon budgeting, and evaluations of land management and climate mitigation strategies. Despite its critical importance, BD is frequently one of the most commonly missing variables in standard soil datasets. BD can be determined using a range of direct and indirect methods, each involving trade-offs among accuracy, cost, and operational feasibility. Direct approaches (e.g. core, clod, or excavation methods) are widely applied but are labour-intensive and sensitive to operator technique, sampling depth, cylinder dimensions, and soil moisture conditions. Indirect approaches, including pedotransfer functions (PTFs), can reduce field effort and, in some cases, improve spatial coverage, but they require careful calibration and high-quality ancillary data (e.g. texture, organic carbon, climatic variables) and may introduce depth-dependent uncertainties. These issues are particularly critical in heterogeneous Mediterranean landscapes, where BD exhibits strong spatial and vertical variability.
Within this context, a legacy data-rescue activity was conducted for Sicily, the largest island of the Mediterranean Basin, integrating multiple legacy datasets and the first results from the Soils4MED survey, to compile approximately 2,000 records of soil texture, SOC, and BD. Data were collected from the soil province geodatabase of Italy, the Land Use and Coverage Area frame Survey (LUCAS) topsoil, the European Hydropedological Data Inventory (EU-HYDI), the Soils4MED project, and several peer-reviewed papers. To ensure consistency across heterogeneous sampling depths, data harmonization was performed using a mass-preserving approach based on the equal-area quadratic spline method.
To generate spatially explicit estimates, a geostatistical approach was used to create maps at 1 km and 500 m resolution of all input variables of the PTFs before the determination of BD to reduce the propagation of errors in input data. These products, together with the original point data, were compared against established European-scale BD and packing density datasets to identify potentially biased areas. Moreover, an uncertainty BD map was generated by a geostatistical stochastic simulation to provide the quality of BD assessments at the different locations of Sicily. The results highlight the added value of data integration, geostatistics, and PTFs for improving BD representation and supporting robust SOC stock assessments in Mediterranean soils, in line with the objectives of the EU Soil Mission.
Acknowledgements
The SOILS4MED project is part of the PRIMA programme supported by the European Union.

How to cite: Belvisi, G., Buttafuoco, G., Gristina, L., and Scalenghe, R.: Towards soil bulk density maps with quantified uncertainty in Mediterranean soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22071, https://doi.org/10.5194/egusphere-egu26-22071, 2026.

EGU26-23134 | Orals | SSS9.3

Modelling  SOC and Nutrient Dynamics under Organic Farming Expansion across the EU 

Anna Muntwyler, Emmanuele Lugato, Panos Panagos, Laura Scherrer, Adrian Müller, and Stephan Pfister

Food production contributes significantly to environmental degradation, accounting for an estimated 78% of global ocean and freshwater eutrophication (Poore & Nemecek, 2018), being the leading driver of biodiversity loss, and representing a major driver of soil health loss (EUSO, 2024). Organic farming is often proposed as a strategy to mitigate these impacts by enhancing biodiversity, reducing nutrient losses at large-scale adoption, and improving multiple soil quality parameters (Seufert & Ramankutty, 2017). Consequently, policy initiatives such as the European Green Deal’s Farm to Fork strategy aimed to expand organic farming across Europe (European Commission, 2020). However, the sustainability benefits of organic agriculture depend strongly on local conditions. For example, transitioning to organic management can risk decreasing soil organic carbon (SOC) stocks (Gaudaré et al., 2023), reducing yields, and potentially increasing greenhouse gas emissions per unit of product due to lower productivity (Meier et al., 2015). These outcomes depend on region-specific factors such as soil properties, climatic conditions, management practices, and nutrient availability.

This study evaluates how a transition to organic agriculture influences SOC and nutrient (N, P) dynamics across the EU by comparing a business-as-usual (BAU) scenario with a scenario in which 25% of agricultural land is managed organically by 2030. We employed the spatially explicit, process-based biogeochemical model DayCent at a 1 km2 scale across the EU, which has been calibrated and tested for European conditions (Muntwyler et al., 2023), to simulate SOC turnover, nutrient cycling, and crop yields across diverse soil and climate gradients. The model integrates detailed representations of mineralization, stabilization, plant uptake, and nutrient losses, thus capturing key processes. To evaluate broader environmental consequences, model outputs were combined with a life cycle assessment (LCA) framework using regionalized characterization factors that quantify N- and P-related impacts on freshwater fish biodiversity (Zhou et al., 2024).

Achieving the 25% organic target showed potential to improve degraded soils (defined by nutrient surplus/excess), reduce reliance on mineral fertilizers, and maintain or lessen current eutrophication impacts on freshwater fish. The spatially explicit modelling framework enabled identification of hotspot regions where transitions to organic agriculture yield environmental benefits with minimal productivity losses. However, these benefits were accompanied by reduced average yields of grain and tuber crops, partly driven by increased fodder crop production in organic rotations. A complementary cover crop scenario highlighted the benefits of increased N fixation, improved yields, and mitigation of SOC decline, but also led to higher impacts on freshwater biodiversity due to increased N losses.

These results underscore the importance of jointly considering interconnected N, P, and C cycles, yield responses, and potential feedbacks when evaluating management transitions. The approach provides valuable insights into the synergies and trade-offs between agricultural practices and environmental consequences at high spatial resolution, supporting evidence-based decisions for sustainable land management and policy.

How to cite: Muntwyler, A., Lugato, E., Panagos, P., Scherrer, L., Müller, A., and Pfister, S.: Modelling  SOC and Nutrient Dynamics under Organic Farming Expansion across the EU, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23134, https://doi.org/10.5194/egusphere-egu26-23134, 2026.

The Sustainable Development Goal indicator 15.3.1 is defined as the “proportion of land that is degraded over total land area.” This indicator has been used to characterize degraded land surfaces in the Mediterranean region (Cherif et al., 2023), but its specific sensitivity to soil organic carbon (SOC), a critical component of soil health and land productivity, has not yet been assessed in this biogeoclimatic context considered lower in SOC (Romanya & Rovira, 2011).

This study investigates the relationship between SDG 15.3.1 indicator levels (improving, stable, declining) and SOC contents and derived indicators (e.g. SOC/N, SOC/Clay, SOCstock) using LUCAS topsoil datasets (0–20 cm) across Europe. We compared Mediterranean and non-Mediterranean biogeoclimates to assess the indicator’s responsiveness to soil carbon variations.

Our analysis shows that areas classified as “improving” according to the SDG 15.3.1 indicator correspond to soils with significantly higher SOC and SOC stock values than those classified as “stable” or “declining” in the Mediterranean bioclimate specifically—but not in other European regions. No significant differences were found between the “stable” and “declining” SDG 15.3.1 indicator levels.

These findings suggest that SDG 15.3.1 is particularly sensitive to SOC variations in Mediterranean environments, supporting its use as a reliable indicator of soil degradation in these regions. They also highlight the critical role of SOC as a key parameter for assessing soil degradation, especially under Mediterranean climatic conditions, and reinforce the need for region-specific soil monitoring programs that integrate SOC dynamics with vegetation carbon use efficiency (CUE) for more comprehensive land degradation assessments.

Cherif, I., Kolintziki, E., & Alexandridis, T. K. (2023). Monitoring of Land Degradation in Greece and Tunisia Using Trends . Earth with a Focus on Cereal Croplands. Remote Sensing, 15(1766). https://doi.org/https:// doi.org/10.3390/rs15071766

Le, Q.B., Shiri, Z., & Zucca, C. (2025a). Maps of carbon use efficiency (CUE), inter-annual CUE trends and analyses of relationships between CUE trend and current SDG indicators 15.3.1. Deliverable 7.2. WP7 (Enhanced regional soil condition mapping in the MR including C Stock mapping), SOIL health monitoring and information systems FOR sustainable soil management in the MEDiterranean region (SOILS4MED) project, PRIMA.

Le, Q.B., Zucca, C., & Shiri, Z. (2025b). Functional early warnings of land degradation revealed by carbon-use efficiency across the Mediterranean Eco-Region. Manucript in prepation.

Romanya, J., & Rovira, P. (2011). An appraisal of soil organic C content in Mediterranean agricultural soils. Soil Use and Management, 27, 321–332. https://doi.org/10.1111/j.1475-2743.2011.00346.x

How to cite: Martin, N., Caner, L., Le, Q. B., and Zucca, C.: Sensitivity of Soil Organic Carbon and Derived Indicators to the SDG 15.1.3 Model in Mediterranean Versus Other European Biogeoclimatic Regions., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23198, https://doi.org/10.5194/egusphere-egu26-23198, 2026.

EGU26-431 | ECS | Posters on site | SSS9.4

Field application of pyroligneous acid enhances soil properties and supports Carbon stabilization pathways 

Sara M. Pérez-Dalí, Águeda Sánchez-Martín, Jorge Márquez-Moreno, Claudia Rodríguez-López, Paloma Campos, Alfonso Rodríguez, Manuel Martínez, Agustín Merino, and José María de la Rosa

Global population growth is increasing pressure on agricultural systems, which must boost food production while contending with climate change and the environmental impacts of unmanaged agricultural waste [1]. In this context, the valorisation of agricultural residues has gained importance as a strategy consistent with circular economy principles and supported by European initiatives focused on soil restoration [2]. Pyrolysis has emerged as a key technology for transforming biomass into value-added products such as syngas, biochar, and the liquid fraction bio-oil. However, the aqueous liquid co-product known as pyroligneous acid (PA, or wood vinegar) remains comparatively underexplored, despite its diverse bioactive properties and dose-dependent effects on soils and plants. A deeper understanding of its agronomic and environmental implications, particularly regarding soil processes and carbon dynamics, is crucial for advancing sustainable waste-valorisation strategies.

To address this gap, a short term field experiment was conducted to evaluate the safety of PA application under real conditions and its effects on soil carbon storage in the framework of the PIROVALOR project. PA was produced through pyrolysis of mixed wood-waste biomass at 500 °C in a continuous feed cylindrical reactor (Euthenia Energy, Lucena, Spain) and applied to a calcareous sandy loam (Calcic Cambisol) at a 50% (v/v) dose in ‘La Hampa’ farm (Seville, Spain). Soil samples were collected one and six months after application.

Preliminary results show that PA is free of pollutants and contains important macro and micronutrients, including Fe, Ca and N. Its application did not alter key agronomic or physicochemical properties, such as soil moisture, penetration resistance, bulk density, pH or electrical conductivity likely due to the strong buffering capacity of the calcareous soil. Short-term compositional changes were observed: total organic carbon and total nitrogen increased one month after application, returning to baseline levels by six months. Notably, PA enhanced the proportion of recalcitrant and intermediate soil organic matter fractions, suggesting the initiation of mechanisms that may contribute to longer-term carbon stabilization.

These findings indicate that PA can be applied safely under field conditions and may promote mechanisms of soil carbon stabilization, supporting its potential role within circular and sustainable biomass-valorisation strategies.

References:
[1] Kurniawati, A., Stankovics, P., Hilmi, Y.S., Toth, G., Smol, M., Toth, Z., 2023. Sustain. Chem. Climate Action, 3, 100033.
[2] Márquez-Moreno, J., Sánchez-Martín, Á., Pérez-Dalí, S. M., Rodríguez-López, C., Campos, P., Moreno-Robles, A., Souza-Alonso, P., López-Núñez, R., De la Rosa, J.M., 2025. Waste Management, 210, 115243.

Acknowledgement: The Ministry of Science, Innovation and Universities, the State Research Agency (MICIU/AEI/10.13039/501100011033) and the European Union (FEDER and Next Generation EU/PRTR) are thanked for funding the PIROVALOR (CPP2023-010757), RES2SOIL and AGRORES (PID2021 126349OB-C22 – PID2021 126349OB-C21) projects and the contract of P. Campos (PTA2023-02366-I). The technical support and collaboration of Euthenia Energy in the framework of the PIROVALOR project is also acknowledged.

How to cite: Pérez-Dalí, S. M., Sánchez-Martín, Á., Márquez-Moreno, J., Rodríguez-López, C., Campos, P., Rodríguez, A., Martínez, M., Merino, A., and de la Rosa, J. M.: Field application of pyroligneous acid enhances soil properties and supports Carbon stabilization pathways, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-431, https://doi.org/10.5194/egusphere-egu26-431, 2026.

EGU26-4121 | Posters on site | SSS9.4

From manure to insects: circular transformation of livestock manure for nitrogen and greenhouse gas mitigation 

Luxi Cheng, Xiuming Zhang, Lorenzo Rosa, Chenchen Ren, Shaohui Zhang, Zhijian Zhang, Yi Yang, Wen Wang, Yi Gong, Yong-Guan Zhu, and Baojing Gu

Livestock manure, enriched with essential nutrients, represents a promising feedstock for insect farming. Insect protein offers a circular and high-quality alternative to conventional crop-based livestock feed, potentially reducing both environmental and resource pressures. In this study, we integrate global livestock models with trade, land-use, and cost-benefits analysis to quantify the environmental and economic implications of manure-to-insect conversion while ensuring the recycling of manure to croplands to maintain soil fertility across 166 countries. Our analysis show that scaling up this pathway could yield approximately 4.2 million tons (Mt) of insect protein N to substitute crop-based feed, and releasing up to 45 million hectares of cropland. This transition could mitigate N and GHG emissions by 6.0 Mt N and 1,266 Mt CO2-e during feed cultivation and manure storage. The residual manure, after insect processing can be returned to fields as a high-quality and stable organic fertilizer, offsetting 23 Mt N of synthetic fertilizer demand. With an estimated implementation cost of 25 billion USD, this strategy could deliver combined economic and environmental benefits of 225 billion USD. These results highlight manure-based insect farming as a scalable, cost-effective, and circular solution for reducing global agricultural pollution and enhancing food system resilience. This pathway demonstrates how reimagined nutrient cycles can mitigate planetary health challenges by integrating food security, climate mitigation, and sustainable resource use within a unified circular framework.

How to cite: Cheng, L., Zhang, X., Rosa, L., Ren, C., Zhang, S., Zhang, Z., Yang, Y., Wang, W., Gong, Y., Zhu, Y.-G., and Gu, B.: From manure to insects: circular transformation of livestock manure for nitrogen and greenhouse gas mitigation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4121, https://doi.org/10.5194/egusphere-egu26-4121, 2026.

EGU26-7180 | ECS | Posters on site | SSS9.4

Revitalizing rainfed certified olive groves through the application of organic amendments and beneficial fungal consortia 

Claudia Rodríguez-López, Jorge Márquez-Moreno, Sara M. Pérez-Dalí, Águeda M. Sánchez-Martín, Paloma Campos, Jesús Moreno-Ortega, Andrea Azpilicueta, Félix González-Peñaloza, Jose A. González-Pérez, and José María De la Rosa Arranz

Agricultural soils in the Mediterranean basin face a critical state of degradation, characterized by the depletion of organic matter and a high dependence on external inputs. Faced with this scenario, and the urgent need for practices to guarantee economic and environmental viability, the RESIOLIVA Operational Group and the RES2SOIL project propose an agroecological and circular management. The main objective is to safeguard the sustainability of certified olive groves and increase their adaptive capacity to climate stress.

A field trial was established in La Campana (Seville, Spain) to monitor 3,169 certified olive trees (cv. Sikitita-2 and Arbosana). A factorial experimental design was used to evaluate six treatment combinations across replicated plots, testing (i) the application of green compost + biochar produced from olive pomace and (ii) inoculation with beneficial Trichoderma spp. with plant growth–promoting activity, both individually and in combination. In addition, the influence of prior mycorrhization of the planting material was assessed.

The monitoring strategy combined soil physicochemical properties, elemental composition, water retention capacity, thermogravimetric analysis, and infrared spectroscopy with measurements of biological activity, as well as plant physiological assessments based on photosynthetic yield and chlorophyll content. Preliminary results showed that the organic-amended plots had statistically significant increases in soil organic carbon, mainly stable fraction, supporting its role as a carbon sink, while most of the physicochemical parameters remained stable. Besides, amended plots consistently maintained higher soil moisture levels at 0-20 cm depths. However, the trial was severely disrupted by extreme floodingin February 2025, accumulated rainfall exceeded 600 mm, causing prolonged waterlogging and anaerobic conditions and leading to higher-than-expected plant mortality, which reduced the statistical robustness of the first vegetative cycle, resulting in lower survival rates compared to controls. Notably, the rainfed-bread Sikitita proved highly susceptible to root asphyxia, whereas the irrigation-adapted Arbosana showed superior tolerance to high precipitation rates. Monitoring continues to assess amendment stability, C dynamics, and soil structural interactions, providing key information for designing rainfed scenarios.

ACKNOWLEDGEMENTS
The Resioliva Operational Group (GOPO-CO-23-0004) gratefully acknowledges funding from the European Agricultural Fund for Rural Development (FEADER) and the Regional Government of Andalusia through the Ministry of Agriculture, Fisheries, Water and Rural Development, in accordance with Article 18.4 of Law 38/2003 of November 17 (https://agriculture.ec.europa.eu/index_es).
This work was funded by the RES2SOIL project (PID2021-126349OB-C22) of the MCIN/AEI/10.13039/501100011033.

How to cite: Rodríguez-López, C., Márquez-Moreno, J., Pérez-Dalí, S. M., Sánchez-Martín, Á. M., Campos, P., Moreno-Ortega, J., Azpilicueta, A., González-Peñaloza, F., González-Pérez, J. A., and De la Rosa Arranz, J. M.: Revitalizing rainfed certified olive groves through the application of organic amendments and beneficial fungal consortia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7180, https://doi.org/10.5194/egusphere-egu26-7180, 2026.

EGU26-8186 | Posters on site | SSS9.4

Copper phytoremediation is influenced by the production time of vermicompost used as organic amendment 

Rodrigo Jacques, Rodrigo Ramos, Natielo Santana, Raphaella Lima, Luciane Tabaldi, Gustavo Brunetto, and Andressa Silveira

Phytoremediation is an efficient and low-cost alternative to mitigate the impacts caused by heavy metals in the environment. The efficiency of phytoremediation of copper-contaminated soil can be enhanced by the addition of organic amendments, such as vermicompost. However, different vermicomposting time results in different chemical, physical, and biological properties of the vermicompost, which may consequently influence its efficiency as a phytoremediation amendment. The objective of this study was to evaluate the effect of cattle manure vermicomposting time on the efficiency of vermicompost in enhancing the phytoremediation of copper-contaminated soil. Black oat (Avena strigosa Schreb.) was cultivated in a greenhouse for 60 days in 5-kg pots containing an Acrisol with 889 g kg⁻¹ sand. The soil was collected from the surface layer of a vineyard with a copper (Cu) content of 104 mg kg⁻¹ (Mehlich-1) due to the long-term use of Bordeaux mixture (copper sulfate + calcium oxide) as a fungicide. Manure was obtained from feedlot cattle raised for meat production. The four treatments consisted of manure without vermicomposting and vermicomposts produced after 30, 60, or 120 days of vermicomposting. The experiment was conducted in a completely randomized design with four replicates. The amendment dose added to the soil was equivalent to 155 kg ha⁻¹ of P, with adjustments of N and K levels using urea and KCl. At plant flowering, Cu toxicity on the functioning of the photosynthetic apparatus was evaluated by determining the chlorophyll index, effective quantum yield of photosystem II (Y(II)), initial fluorescence (F₀), and electron transport rate (ETR) using a pulse-amplitude-modulated fluorometer. Subsequently, roots and shoots were collected to determine dry mass and Cu concentrations in plant tissues. Overall, the results show that shorter vermicomposting times led to lower Cu concentrations absorbed by plants, reduced phytotoxic effects on the photosynthetic apparatus, and greater biomass production. Plants grown in the manure treatment (without vermicomposting) accumulated 443 and 19 mg kg⁻¹ of Cu in roots and shoots, respectively, and produced 362 mg plant⁻¹ of root dry mass and 504 mg plant⁻¹ of shoot dry mass. In contrast, plants grown with vermicompost produced after 120 days accumulated 489 and 34 mg kg⁻¹ of Cu in roots and shoots, respectively. As a consequence, phytotoxicity was intensified and biomass production was lower in shoots (331 mg plant⁻¹; p = 0.002) and roots (224 mg plant⁻¹; p = 0.007). Longer vermicomposting time of cattle manure results in an amendment that increases Cu uptake by black oat, which reduces plant growth and decreases total Cu accumulation in the plant.

How to cite: Jacques, R., Ramos, R., Santana, N., Lima, R., Tabaldi, L., Brunetto, G., and Silveira, A.: Copper phytoremediation is influenced by the production time of vermicompost used as organic amendment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8186, https://doi.org/10.5194/egusphere-egu26-8186, 2026.

EGU26-8513 | ECS | Orals | SSS9.4 | Highlight

Integrative Assessment of Biochar Effects on Greenhouse Gas Emissions, Soil Microbiome, and Soil Metabolomic Profiles 

Lokeshwar Kesamreddy, Somasundaram Eagan, Samuel Mathu Ndungu, Janaki Ponnusamy, Suganthy Mariappan ‎, Parameswari Ettiyagounder, and Lukas Pawera

Biochar application is increasingly recognized as a promising strategy to enhance soil health and mitigate greenhouse gas (GHG) emissions. However, the mechanisms by which biochar simultaneously regulates fluxes of CO2, CH4, and N2O, modulates soil microbial communities, and reshapes the soil metabolite profiles remain elusive, especially under contrasting fertilizer regimes. To investigate these interactions, a two-season field experiment was conducted to assess the effects of rice husk biochar applied at four rates (0, 10, 20, and 30 t ha-1) in combination with mineral and organic fertilizers. Nine treatments were evaluated: negative control (CK), mineral fertilizer alone (MB0), mineral fertilizer with biochar (MB10, MB20, and MB30), organic fertilizer alone (OB0), and organic fertilizer with biochar (OB10, OB20, and OB30). High-throughput amplicon sequencing and untargeted soil metabolomics were employed to elucidate treatment effects on soil microbial community composition, metabolic pathways, and GHG emissions. Biochar-amended treatments substantially reduced global warming potential (GWP), with MB30 decreasing GWP by an average of 25.5% relative to MB0, and OB30 reducing GWP by 29.1% compared to OB0 averaged across both seasons. Biochar maintained overall microbial community stability, with no major shifts in alpha diversity or distinct taxonomic signatures, indicating minimal impact on community structure. Bacterial communities were dominated by Proteobacteria and Firmicutes in mineral fertilizer treatment (MB0), indicating a shift towards fast-growing copiotrophs, whereas biochar combined with organic fertilizer (OB10-OB30) enriched slow-growing Actinobacteria and Acidobacteria, enhancing microbial diversity and nutrient cycling. Fungal communities, primarily Ascomycota and Basidiomycota, showed increased diversity with biochar and organic fertilizer, promoting taxa like Mortierellomycota, Mucoromycota, and Glomeromycota involved in decomposition, nutrient cycling, and plant-fungal symbioses. Metabolomic analysis (MetaboAnalyst) using variable importance projection (VIP) scores and false discovery rate (FDR)-adjusted significance tests first identified discriminatory metabolites associated with increasing biochar rates under both fertilizer regimes. These metabolites were mainly enriched in the Shikimate and Phenylpropanoid pathways, polyketides, and alkaloids such as jasmonic acid, alternatain D, 4-O-demethylhypothemycin, and blennolide D, with further enhancement in isoflavonoid biosynthesis. Such shifts are consistent with biochar-mediated changes in soil properties and microbial composition, which are known to stimulate secondary metabolism, plant defense signaling, and microbially driven biochemical transformations. In contrast, treatments without biochar accumulated higher levels of fatty acids, amino acids, and peptides, reflecting altered microbial biomass turnover and organic matter decomposition. Integrating these insights with process-based modeling and life cycle assessments will provide robust quantification of biochar’s climate mitigation potential and support the development of effective guidelines for climate-smart agricultural management.

How to cite: Kesamreddy, L., Eagan, S., Ndungu, S. M., Ponnusamy, J., Mariappan ‎, S., Ettiyagounder, P., and Pawera, L.: Integrative Assessment of Biochar Effects on Greenhouse Gas Emissions, Soil Microbiome, and Soil Metabolomic Profiles, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8513, https://doi.org/10.5194/egusphere-egu26-8513, 2026.

EGU26-9825 | ECS | Posters on site | SSS9.4

Short-term to mid-term effects of organic and inorganic soil amendments on carbon and nutrient dynamics in a clay-loam pear orchard soil (Ospital Monacale, Northern Italy) 

Riccardo De Grandis, Giacomo Ferretti, Matteo Alberghini, Riccardo Ercoli, Massimo Basaglia, and Massimo Coltorti

The use of organic and inorganic soil amendments is increasingly promoted to enhance soil fertility and carbon sequestration in perennial cropping systems, yet field-based evidence on their temporal dynamics remains limited. This study investigates the evolution of soil chemical properties in a pear orchard located in Ospital Monacale (Ferrara Plain, Northern Italy), focusing on the surface layer (0–20 cm) of a fine-textured, clay-loam soil. The experimental design consisted of a randomized block layout aimed at assessing whether the application of biochar and zeolite-rich tuff could enhance the already known beneficial effects of compost. To this end, four treatments were established: i) an untreated control, ii) compost alone, iii) compost combined with biochar, and iv) compost combined with zeolite. Soil samples were collected at different times: immediately after amendment application (T0) and two years after application (T1). Different soil parameters were investigated: total carbon and nitrogen, inorganic nitrogen forms (ammonium and nitrate), total dissolved phosphorus, pH and electrical conductivity.

Results show a clear temporal signal in the surface horizon. Compost and compost–biochar treatments promoted a sustained increase in total soil carbon relative to the control, with differences already evident at T1, suggesting progressive stabilization of organic carbon pools. In contrast, compost–zeolite mainly influenced nitrogen dynamics, with higher ammonium retention and reduced short-term variability compared to other treatments. Dissolved phosphorus concentrations were consistently higher in the treated soils compared to the untreaded one.

Overall, the integration of a multi-temporal framework reveals that, under humid and fine-textured soil conditions, amendment effects strengthen over time in the topsoil. These findings underline the importance of long-term monitoring to capture amendment-induced shifts in soil biogeochemical functioning in orchard systems.

How to cite: De Grandis, R., Ferretti, G., Alberghini, M., Ercoli, R., Basaglia, M., and Coltorti, M.: Short-term to mid-term effects of organic and inorganic soil amendments on carbon and nutrient dynamics in a clay-loam pear orchard soil (Ospital Monacale, Northern Italy), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9825, https://doi.org/10.5194/egusphere-egu26-9825, 2026.

EGU26-10830 | Orals | SSS9.4

Effectiveness of DMPP and NBPT in Sustaining Melon production under Nitrogen Restriction in Southern Tunisia 

Imen Ayadi, Neji Mahmoudi, Fatma Wassar, Ines Toumi, Mahmoud Bali, Raja Dakhli, Ridha ElBeji, Rachid Boukchina, Latifa Dhaouadi, and Francisco Garcia Sanchez

Nitrogen fertilization is a major driver of melon productivity in arid environments, yet excessive application leads to low nitrogen use efficiency and increased environmental risks, particularly nitrate leaching. This study investigated the effectiveness of chemical inhibitors in maintaining melon (Cucumis melo L.cv yellow canari) yield, quality, and nitrogen dynamics under reduced nitrogen fertilization in southern Tunisia during the 2025 growing season. The activities were carried out within the framework of the PRIMA project TELENITRO. The experiment compared a conventional nitrogen rate (control, N1) with two reduced nitrogen levels (15% and 30% reductions, N2 and N3), combined with two chemical inhibitors: 3,4-dimethylpyrazole phosphate (DMPP) and N-(n-butyl) thiophosphoric triamide (NBPT). Production parameters, yield components, fruit quality traits, and nitrogen forms in soil and leaves were evaluated. Results showed that a 15% reduction in nitrogen fertilization combined with chemical inhibitors effectively preserved fruit size and yield. Under N2, both DMPP and NBPT treatments exhibited fruit length, width, and seed cavity dimensions comparable to the control. Average total yield reached 37.5 and 40.0 t ha⁻¹ for DMPP and NBPT, respectively, showing no significant difference from the control yield (38.5 t ha⁻¹). These results highlight the strong capacity of chemical inhibitors to compensate for moderate nitrogen reductions. In contrast, a 30% nitrogen reduction (N3) led to a significant decrease in average fruit weight and total yield, although inhibitor-treated plots still outperformed what would typically be expected under reduced nitrogen conditions. Yields under N3 ranged from 26.0 to 28.5 t ha⁻¹, with NBPT showing slightly better performance than DMPP. Fruit quality attributes, including soluble solids content (SSC), dry matter content (DMC), and firmness, were not significantly affected by nitrogen reduction or inhibitor application, indicating that marketable quality was maintained across treatments. Soil nitrate and ammonium concentrations varied significantly over time and treatments. Reduced nitrogen treatments combined with inhibitors generally showed lower soil nitrate accumulation compared to the control, particularly at later sampling dates, suggesting improved nitrogen retention in the soil. Leaf nitrate concentrations were significantly lower in inhibitor treatments, especially under N3, while ammonium concentrations and increased C/N ratios indicated enhanced nitrogen assimilation efficiency. Overall, the results demonstrate that the combined use of chemical inhibitors, particularly NBPT, enables a reduction of nitrogen fertilizer inputs by up to 15% without compromising melon yield or quality under arid conditions. Overall, the findings support the use of chemical inhibitors—especially NBPT—as a viable nitrogen management strategy to reduce fertilizer inputs while sustaining melon productivity and minimizing environmental risks under arid conditions in southern Tunisia.

How to cite: Ayadi, I., Mahmoudi, N., Wassar, F., Toumi, I., Bali, M., Dakhli, R., ElBeji, R., Boukchina, R., Dhaouadi, L., and Garcia Sanchez, F.: Effectiveness of DMPP and NBPT in Sustaining Melon production under Nitrogen Restriction in Southern Tunisia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10830, https://doi.org/10.5194/egusphere-egu26-10830, 2026.

EGU26-14659 | Posters on site | SSS9.4

Climate impacts of bio-based horticultural substrates: Life-cycle assessment of individual components and multi-crop blends 

Fatemeh Hashemi, Aidan Mark Smith, Clara Fernando Foncillas, Signe Værbak, and Marie Trydeman Knudsen

Reducing greenhouse gas (GHG) emissions from horticultural growing media (GM) is critical due to the high climate impact of peat extraction and use. Peatlands are major carbon reservoirs, and their excavation and use releases substantial amounts of CO₂, while also causing habitat loss and biodiversity decline. Bio-based alternatives, including extruded wood fibers, aged bark, various composts, degassed agricultural fibers from anaerobic digestion, and willow-derived biochar, offer potential for climate-friendly peat substitution.

This study quantified the cradle-to-use GHG emissions of individual bio-based GM components and six stakeholder-defined multi-component blends designed for strawberry, basil, Kalanchoe, and Buddleia, using life cycle assessment (LCA) with the ReCiPe 2016 Midpoint method. The functional unit was 1 m³ of substrate. The LCA included raw material production, pre-processing, transport, mixing, and substrate use. Economic allocation and system expansion were applied where production generated co-products.

Results indicate that individual bio-based components can reduce carbon footprints by more than 50% compared with pure sphagnum. Multi-component blends with partial to full peat substitution showed GHG reductions of approximately 45–90%, depending on the proportion and type of bio-based constituents. These findings highlight the substantial potential of bio-based growing media to lower greenhouse gas emissions while maintaining suitable physical, chemical, and biological properties for horticultural production.

How to cite: Hashemi, F., Smith, A. M., Foncillas, C. F., Værbak, S., and Knudsen, M. T.: Climate impacts of bio-based horticultural substrates: Life-cycle assessment of individual components and multi-crop blends, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14659, https://doi.org/10.5194/egusphere-egu26-14659, 2026.

EGU26-15857 | ECS | Orals | SSS9.4

Hydrochar-Amended Recycled Concrete Aggregate for Plant Production and Carbon Retention 

Trishia Liezl Mallari Dela Cruz, Yuchen Wang, and Charles Wang Wai Ng

Hydrochar produced through hydrothermal carbonization of organic residues serves as a char-organic input strategy aimed at closing nutrient loops, enhancing substrate function, and supporting sustainable plant production. This study investigates the effect of hydrochar feedstock and application rates on the physicochemical properties and early plant performance in recycled concrete aggregate (RCA), a significant component of construction and demolition waste. The research evaluates the potential of hydrochar to transform RCA into a viable substrate for sustainable urban landscaping and geo-environmental infrastructure development. Wood-derived and eggshell-derived hydrochars were compared, applied at rates of 5% and 10% by mass, to cultivate Brassica rapa var. chinensis for 21 days under controlled conditions. The assessment quantifies key material properties, including pH, electrical conductivity, organic matter, and total organic carbon. Additionally, plant production indicators such as germination rates, root and shoot development, biomass, and leaf area are measured, along with post-harvest carbon metrics to explore carbon sequestration potential. The experimental design emphasizes the response to application rates and the trade-offs associated with ionic strength and alkalinity. The goal is to identify hydrochar characteristics and amendment rates that promote growth-favorable chemistry, avoiding salinity or pH stress. This research seeks to establish practical guidelines for integrating hydrochar into low-cost, circular substrates for urban plant production and geo-environmental greening.

The authors would like to acknowledge the financial support provided by the State Key Laboratory of Climate Resilience for Coastal Cities (ITC-SKLCRCC26EG01) and the Research Grants Council of HKSAR (C5033-23G).

Keywords: hydrochar, plant production, recycled concrete aggregate, carbon sequestration

How to cite: Dela Cruz, T. L. M., Wang, Y., and Ng, C. W. W.: Hydrochar-Amended Recycled Concrete Aggregate for Plant Production and Carbon Retention, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15857, https://doi.org/10.5194/egusphere-egu26-15857, 2026.

EGU26-17395 | ECS | Posters on site | SSS9.4

Engineered sediment-based technosols amended with compost: a pathway to recarbonize compacted soils and restore agricultural functionality 

Claudia Rodríguez-López, Paloma Campos, Sara M. Pérez-Dalí, Jorge Márquez-Moreno, Águeda M. Sánchez-Martín, Félix González-Peñaloza, Gael Bárcenas-Moreno, Jose A. González-Pérez, and José M. De La Rosa

The management of dredged riverine sediments represents a significant environmental challenge due to the massive volumes generated annually [1]. Reusing these sediments as agricultural amendments offers a promising opportunity to improve crop yields and plant quality [2]. In the Guadalquivir marshlands (Seville, Spain), soils also face severe physical constraints due to their clay-rich texture and low soil organic carbon content. In this context, targeted organic amendments, such as plant-based composts, are proposed to enhance nutrient availability and overall functionality in formulated Technosols.

Within this context, a six-month field trial was established in a fine-textured soil near the Guadalquivir River, characterized by compaction and poor drainage, under the framework of the SARECO Project, which formulated Technosols through the co-application of two riverine dredged sediments from the Guadalquivir River (supplied by the Port of Seville) and green compost, mixed with the native soil, as a strategy to restore soil health. Winter wheat was cultivated, and over the six-month period (until harvest) we monitored soil physical properties, organic matter composition and respiration rates, carbon dynamics, and crop productivity.

The results showed that the Technosols significantly improved soil physical properties, with lower soil bulk density and penetration resistance. These improvements were accompanied by sustained organic carbon enrichment throughout the trial. Soil respiration rates increased initially in the Technosols but declined over time. The combined application of sediments and compost produced a synergistic effect on yield, exceeding the control in grain weight and grains per head, while total biomass and protein content remained comparable to the control soil.

Overall, these findings confirm that combining riverine dredged sediments with organic amendments in fine-textured, carbon-poor soils is a sustainable strategy that increases soil organic carbon stocks while maintaining competitive crop yields. This approach provides a viable pathway for dredged-sediment valorization and the restoration of degraded agricultural soils.

REFERENCES

[1] Renella, G. Sustainability (2021), 13(4),1648.

[2] De la Rosa, J. M., Pérez-Dalí, S. M., Campos, P., Sánchez-Martín, Á., González-Pérez, J. A., & Miller, A. Z. Agronomy (2023), 13(4), 1097.

ACKNOWLEDGEMENTS: Authors gratefully acknowledge CSIC for funding the SARECO project (COCRE24015; CSIC COCREA 2024 – circular economy call). RES2SOIL project (PID2021-126349OB-C22) and P. Campos (PTA2023-023661-I) thank funding from MICIU/AEI (10.13039/501100011033) and the EU (FEDER, NextGenerationEU/PRTR) We thank Verónica Asensio and Rubén Leboreiro for their support, and Antonio Bejarano Moreno (Autoridad Portuaria de Sevilla) for providing access to the field plot area.

How to cite: Rodríguez-López, C., Campos, P., Pérez-Dalí, S. M., Márquez-Moreno, J., Sánchez-Martín, Á. M., González-Peñaloza, F., Bárcenas-Moreno, G., González-Pérez, J. A., and De La Rosa, J. M.: Engineered sediment-based technosols amended with compost: a pathway to recarbonize compacted soils and restore agricultural functionality, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17395, https://doi.org/10.5194/egusphere-egu26-17395, 2026.

EGU26-18478 | Posters on site | SSS9.4

Soil biological responses to bio-based hydromulches formulated from different agro-industrial residues under controlled laboratory conditions 

Marta María Moreno, Jesús D. Peco, Jaime Villena, Concepción Atance, Pablo A. Morales, Pablo L. Higueras, and Carmen Moreno

Liquid-applied mulches (hydromulches) have been proposed as a biodegradable alternative to conventional plastic mulches, with the potential to improve the sustainability of agricultural and urban systems. Although their effectiveness in weed control and soil moisture conservation has been demonstrated, there is still limited knowledge about how hydromulch composition, particularly the origin of the lignocellulosic residues used, affects their degradation and soil biological activity in the medium and long term.

In this study, we assessed the effects of twelve hydromulch formulations prepared from different agricultural and agro-industrial residues of herbaceous and woody origin on soil biological quality. The experiment was conducted under controlled conditions using a 300-day microcosm incubation. Hydromulches were incorporated into agricultural soil, and key indicators of microbial activity and soil functioning were periodically measured, including soil respiration and several enzyme activities.

Overall, soil biological activity increased after hydromulch application, although clear differences were observed depending on the type of residue used. Some formulations caused strong and early stimulation of microbial respiration and enzyme activity, whereas others showed more moderate but longer-lasting effects. Similarly, enzymatic activities associated with different nutrient cycles responded differently depending on hydromulch composition, reflecting distinct degradation patterns and substrate availability.

These results suggest that hydromulches act not only as physical soil covers but also influence soil biological activity depending on their composition. Because microbial and enzymatic activities are closely linked to nutrient cycling, these effects may have important implications for soil fertility and soil health. Therefore, selecting specific residues for hydromulch formulation may be a useful strategy within circular bioeconomy approaches aimed at improving soil functioning.

Keywords: hydromulches, soil biological activity, agro-industrial residues, soil health

Acknowledgements: PID2020-113865RR-C43 (HMulchCircle)/AEI/10.13039 - 501100011033 (Spanish Ministry of Science and Innovation) / 2024-TRAN-36705 (University of Castilla-La Mancha)

How to cite: Moreno, M. M., Peco, J. D., Villena, J., Atance, C., Morales, P. A., Higueras, P. L., and Moreno, C.: Soil biological responses to bio-based hydromulches formulated from different agro-industrial residues under controlled laboratory conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18478, https://doi.org/10.5194/egusphere-egu26-18478, 2026.

Nutrient enrichment, driven by agricultural intensification and urbanisation, is a major contributor to water quality deterioration globally. Excessive nitrogen (N) and phosphorus (P) inputs lead to eutrophication, hypoxic zones, and harmful algal blooms, while also representing economic losses for farmers and environmental challenges due to the reliance on inorganic fertilisers. External Organic Amendments (EOAs), such as compost and manure, offer a sustainable alternative by recycling nutrients, improving soil health, and reducing greenhouse gas emissions. However, the variability in nutrient release from EOAs, particularly N mineralisation, poses challenges for their effective use. Composted and biochar amendments have shown potential to stabilise nutrient release and mitigate environmental losses, but their biogeochemical dynamics remain poorly understood, especially under future climate scenarios involving intensified drying- rewetting (DRW) cycles. This study aims to address critical knowledge gaps by employing dual- labelled (13C-15N) composted and fresh poultry manure to quantify gross N and C mineralisation rates, assess microbial and biochemical mechanisms, and evaluate nutrient leaching potentials under constant moisture and DRW cycles. A combination of laboratory incubations and greenhouse soil column experiments will be conducted to compare the efficiency of composting and biochar amendments in improving fertiliser-use efficiency and reducing nutrient losses. Advanced isotopic tracing techniques will be used to disentangle amendment-derived nutrient dynamics from native soil pools, providing novel insights into the fate of dissolved organic matter and nutrient transport in agricultural soils. The findings will inform sustainable nutrient management practices and contribute to mitigating nutrient pollution under changing climatic conditions.

How to cite: Orepic, D.: Mind your manure: Impacts of biochar and dry-wet cycling on microbial processing of dual-labelled 13C-15N poultry manure compost , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18918, https://doi.org/10.5194/egusphere-egu26-18918, 2026.

EGU26-19580 | ECS | Orals | SSS9.4

Proof of concept for a green algea biochar system in Britanny, France: an Ecotron experiment 

Johanne Lebrun Thauront, Jeanne Areia, and Samuel Abiven

Coastal « green tides » - algal blooms caused by eutrophication - are a common occurrence throughout the world where rivers drain areas of intensive agriculture towards relatively closed bays. In Britanny (France) blooms of algea from the genus Ulva have been observed since the 1970’s, and despite four successive action plans to tackle their cause, still cause health, environmental and economic issues every summer.

Biochar is known to affect nitrogen dynamics in soils, reducing nitrate leaching and N2O emissions, in addition to increase the stable carbon pool of the soil. The greenhouse gases balance of a biochar system is strongly influenced by biomass source, and to a lower extent by transportation of the feedstock biomass and finished biochar [1]. Residual biomass that can be used as feedstock for biochar production is subjected to competing use, e.g. for animal bedding, incorporation to the soil, or anaerobic digestion. Local biochar systems based on residual biomass with little to no other uses (waste) are therefore likely to be more environmentally and economically sustainable.

In the SyBio project, we are investigating the biogeochemical consequences and technical and social feasibility of a local biochar system based on green algea biomass that is collected on the sandy shores of Britanny during algal blooms, as an alternative to direct application of algea to the soil or landfilling, the most common disposal options at present. In particular, we studied the effect of Ulva biochar on nutrient cycle and greenhouse gases emissions in the soil plant-system. We compared the effects of the biochar with that of direct application of algea, and also tested the combination of biochar and compost. We hypothesized that biochar application would reduce nitrate leaching and N2O emissions relative to the control situations and direct algea application, while plant growth and biomass yield would remain unaffected.

We carried out a climate chamber experiment, growing spring barley (Hordeum vulgare) in three soils with contrasting texture under a 10 years averaged climate typical of Britanny. We measured soil CO2 and N2O emissions, nitrogen forms in the soil solution and drainage water, and plant photosynthesis at regular intervals throughout the growing period. We will present the results of this experiment as well as insights from other aspects of the project.

[1] Lehmann, J., Cowie, A., Masiello, C.A. et al. Biochar in climate change mitigation. Nat. Geosci. 14, 883–892 (2021). https://doi-org.insu.bib.cnrs.fr/10.1038/s41561-021-00852-8

How to cite: Lebrun Thauront, J., Areia, J., and Abiven, S.: Proof of concept for a green algea biochar system in Britanny, France: an Ecotron experiment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19580, https://doi.org/10.5194/egusphere-egu26-19580, 2026.

EGU26-20917 | ECS | Posters on site | SSS9.4

Behaviour and effects of organic hydromulches on soil biological aspects in nursery crops 

Concepción Atance, Jaime Villena, Jesús D. Peco, Pablo A. Morales-Rodriguez, Carmen Moreno, Jesús A. López-Perales, Pablo L. Higueras, and Marta M. Moreno

Common practices for weed control in horticultural and fruit crops often rely on herbicides, petrochemical plastics and intensive tillage. However, the environmental impact of these techniques has encouraged researchers worldwide to explore more sustainable alternatives aligned with circular economy principles. These eco‑friendly approaches could also be applied to other production systems, such as seedbeds or nursery plants. Within this context, biopolymers and paper-based materials show promising performance, although their shorter lifespan makes them more suitable for annual herbaceous crops. Based on preliminary laboratory tests, we therefore established a field trial in a forest tree nursery in Central Spain, applying hydromulches of different compositions and characteristics to newly transplanted seedlings grown in open-field conditions.

The hydromulches were formulated using agricultural and agri‑food by‑products—wheat straw, camelina pellet, almond pruning wood, elm + walnut, and a mixture of elm, walnut and camelina. These materials were combined with a binder and recycled paper pulp, and applied in liquid form to the soil, where they subsequently solidified. In addition, two unmulched treatments were included as controls (manual weeding and no weeding) within a randomized complete block design with three replications.

In order to evaluate the possible effect of the different hydromulches on soil respiration, the CO₂ flux was measured using an EGM‑4 portable soil respiration system (non‑dispersive infrared gas analyzer) equipped with an SRC‑1 chamber (PP Systems). Measurements were taken between 12:00 and 14:00 (solar time) at the same point in each treatment. Throughout the trial, the degradation dynamics of the hydromulches (thickness, puncture resistance, soil cover, etc.) were also monitored, together with their influence on soil biological activity and mesofauna abundance. Clear differences were observed among treatments, with the camelina‑based hydromulch showing the fastest and most pronounced degradation. While this behavior could limit its effectiveness as a persistent weed control layer, it was associated with higher soil biological activity and supported a greater quantity of mesofauna.

 

Keywords: hydromulch, soil respiration, biological activity, mesofauna.

Acknowledgements: PID2020-113865RR-C43 (HMulchCircle)/AEI/10.13039 / 501100011033 (Spanish Ministry of Science and Innovation) / 2024-TRAN-36705 (University of Castilla-La Mancha).

How to cite: Atance, C., Villena, J., Peco, J. D., Morales-Rodriguez, P. A., Moreno, C., López-Perales, J. A., Higueras, P. L., and Moreno, M. M.: Behaviour and effects of organic hydromulches on soil biological aspects in nursery crops, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20917, https://doi.org/10.5194/egusphere-egu26-20917, 2026.

EGU26-201 | Orals | SSS9.6

Vulnerability and Adaptation to Climate Change in the Indian Sundarban Delta 

Shouraseni Roy and Brynn Casto

This study explores the significant effects of climate change on the low-lying islands of the Indian Sundarban Delta (ISD), an area recognized for its high vulnerability within South Asia. The ISD covers approximately 10,200 km² across India and Bangladesh and is characterized by islands rising less than five meters above sea level, formed from ancient sedimentary deposits. These distinctive geographic features, coupled with the region’s dense mangrove forests—which represent most India’s mangrove habitats—make the ISD particularly sensitive to climate-driven disturbances. Local communities whose livelihoods depend on fishing, agriculture, and non-timber forest resources face mounting threats from environmental changes.

The research examines the long-term impacts of climate change on both ecological and human systems in the ISD, focusing on how rising temperatures, increased tropical cyclones, storm surges, drought, altered rainfall patterns, and sea level rise are transforming the islands. Using satellite imagery spanning from 2000 to 2024, the study maps shift in island size and shape, as well as the condition of embankments, providing a spatial and temporal analysis of vulnerability across different locations. Two key indices—Normalized Difference Salinity Index (NDSI) and Normalized Difference Water Index (NDWI)—are employed to assess changes related to sea level rise, while geostatistical methods reveal long-term patterns and trends in these environmental impacts.

By documenting both physical alterations and the experiences of residents, the study highlights the escalating risks posed by climate change to coastal populations. It emphasizes the urgent need for targeted interventions and informs policymakers and stakeholders about effective adaptive strategies. The findings underscore the importance of resilience and community-led adaptation as essential responses to ongoing ecological and socio-economic challenges. In sum, this research provides a comprehensive understanding of how climate change is reshaping the ISD and offers guidance for sustainable management and policy development in similarly vulnerable coastal regions.

How to cite: Roy, S. and Casto, B.: Vulnerability and Adaptation to Climate Change in the Indian Sundarban Delta, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-201, https://doi.org/10.5194/egusphere-egu26-201, 2026.

EGU26-1673 | ECS | Orals | SSS9.6

Resilience or degradation of Patagonian wetland soils: Soil structure and organic matter under contrasting land-use intensities. 

Jorge Ivelic-Sáez, Dorota Dec, José Dörner, Francisco Matus, José Luis Arumí, Stephan Peth, Oscar Balocchi, Iván Ordoñez, Ignacio López, Rainer Horn, Enzo Álvarez, and María Levio

How land-use intensity (LUI) affects soil structure-dependent functions and organic matter (OM) quality in Patagonian wetland soils (Vegas) of southern Chile is an intriguing question. These wetland soils, which store large amounts OM and regulate water and nutrient fluxes, are increasingly exposed to  intensification. While degradation of peatlands under drainage and conversion to agricultural activities is well documented, the long-term effects of contrasting LUI under intensification of livestock systems and peat extraction in southern Patagonia remain poorly understood. Research was conducted along a west–east climatic and aridity gradient in the Magallanes Region Chile. Four pairs of Vegas with contrasting LUI, low-and-high-intensity use of livestock and peat extraction sites were selected, spanning Histosols and Gleysols, including sedge meadows and Sphagnum peatlands. At each site, environmental conditions, vegetation inventory, and livestock management (stocking rate and density) were characterized. Soil structure-dependent functions were quantified from undisturbed cores collected at the surface horizon (5 cm) and the last horizon (~ 70 cm) before the appearance of glacial material or the water table. The water retention and shrinkage curves were measured, and from this, the bulk density (BD), air capacity (AC), plant available water (PAW), coefficient of linear extensibility (COLE), air permeability (Ka) were derived. The saturated hydraulic conductivity (ks), and anisotropy of air and water flows were quantified. The total and dissolved organic carbon and nitrogen (TC, TOC, IC, DOC, TN, TIN and TON), stable isotopes (¹³C, ¹⁵N), and ATR-FTIR spectroscopy. Most Vegas showed high OC (3,69-44%) with very high porosity (>80%), high shrinkage capacity, and strong deformation due to soil drying (COLE> 0.09), particularly in Histosols. and ks decrease with depth, especially in Sphagnum peatlands due to the OM decomposition and pore-size reduction. A soil structural shrinkage phase normally is presence, being often a residual and zero-shrinkage phases absent under low LIU.  Anisotropy in fluid conduction was sporadic and more pronounced in the Gleysolic sites. OM quality varied strongly in the top and depth soils across sites. Sphagnum peatlands had the highest C:N ratios and high FTIR signatures of recalcitrant organic compounds, whereas sedge-dominated Vegas showed more similar spectral patterns. Depth profile declines in C:N and shifts in ¹³C and ¹⁵N abundances showing progressive OM decomposition and N enrichment. Unexpectedly, we found that high LUI did not deteriorate the structure-dependent functions. In several cases, more intensive but better managed systems displayed higher porosity, greater ks and Ka, and well-developed structural shrinkage phases. However, peat extraction in Sphagnum systems clearly damaged structural integrity. Results indicate that LUI effects are context dependent and that both low-intensity and over grazing for livestock production can be detrimental. A high LUI did not result in a marked deterioration of structure dependent soil functions, instead, it revealed a continuum of responses across the study sites. Recovery in structure-dependent soil functions were primarily associated with increased organic matter content, accompanied by a relative enhancement in organic matter quality. This implies that low land use intensity can be just as harmful without proper utilization and controlled use of natural resources. 

How to cite: Ivelic-Sáez, J., Dec, D., Dörner, J., Matus, F., Arumí, J. L., Peth, S., Balocchi, O., Ordoñez, I., López, I., Horn, R., Álvarez, E., and Levio, M.: Resilience or degradation of Patagonian wetland soils: Soil structure and organic matter under contrasting land-use intensities., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1673, https://doi.org/10.5194/egusphere-egu26-1673, 2026.

EGU26-2762 | ECS | Orals | SSS9.6

Global oilseed trade links cultivated land conservation in China to worldwide land savings 

Min Wang, Guanghui Jiang, Xiaozhen Dong, Wenqin Ji, and Hengrui Yang

International trade increasingly redistributes natural resources, effectively displacing environmental pressures across borders. As the world's largest oilseed importer, China's consumption significantly impacts global land use, yet the structural evolution of this trade network and its specific consequences for cultivated land protection remain unclear. To bridge this gap, this study adopts a metacoupling framework to examine the evolution of major oilseed trade patterns from 2010 to 2023 and their multi-scale impacts on cultivated land. By constructing a time-series global trade network and integrating it with virtual land flow modeling, we systematically examine how trade structures influence land resource allocation at both the domestic (China) and planetary scales. Our results reveal that the global oilseed trade network has become increasingly complex and efficient over the past decade. However, trade volume remains highly concentrated among a few key nations (e.g., the USA, China, and Canada). Structurally, the network has shifted from large, centralized clusters toward a multi-polar reorganization, indicating a dynamic restructuring of supply chain relationships that balances efficiency with emerging risks. Crucially, despite structural risks in the supply chain, China has leveraged massive virtual land imports to stabilize its domestic cultivated land pressure index at a low level (0.13–0.16). This trade mechanism functions as a critical "land-sparing" strategy at the global scale: the total global land savings generated by China's imports steadily increased from 116.4 Mha to 193.1 Mha during the study period. This study highlights the dual role of China in alleviating domestic land pressure while reshaping global resource distribution. While global trade offers resource efficiency, the reliance on concentrated sources poses potential security risks. Future efforts should focus on building resilient supply chains and strengthening regional collaboration to balance national food security with global sustainable sustainability goals. This study demonstrates how integrated modelling approaches linking global trade networks to local land systems can bridge spatial scales, offering new insights for sustainable land management and resilient agroecosystem strategies.

How to cite: Wang, M., Jiang, G., Dong, X., Ji, W., and Yang, H.: Global oilseed trade links cultivated land conservation in China to worldwide land savings, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2762, https://doi.org/10.5194/egusphere-egu26-2762, 2026.

EGU26-3453 | ECS | Orals | SSS9.6

Mapping agricultural terrace suitability in Mediterranean mountain environments using a positive–unlabelled classification framework 

Aman Kumar Meena, Christos Zoumides, Hakan Djuma, Ioannis Sofokleous, Corrado Camera, and Adriana Bruggeman

Abstract

Agricultural terraces in Mediterranean mountain environments provide a sustainable means of farming on steep terrain while delivering essential ecosystem services. However, land desertification driven by land abandonment and a changing climate raises new concerns for the sustainability of these environments. Land suitability analysis (LSA) provides a valuable tool to support decision-making for sustainable management and potential expansion of terrace agriculture. Traditional LSA approaches typically require fully labelled dataset, but in many real-world applications only a fraction of positive examples is available, with the rest unlabelled. This study aims to present an integrated predictive modelling framework that combines GIS with data-driven Machine Learning (ML) techniques, capable of learning from positive and unlabelled datasets for LSA. The proposed framework was applied to develop a terrace suitability map for Cyprus’ Troodos Mountains. A 5-m DEM was processed to extract the mountain area, with elevation ≥500m and slopes ≥15%, defining the study area. Crop plots registered under the Single Area Payment Scheme of the European Common Agricultural Policy were used to classify the study area into Terrace-Present (TP) and Terrace-Absent (TA) cells, with TP serving as labelled positive and TA as unlabelled samples. A two-step ML approach was applied, first identifying reliable negatives from TA cells, then using these with TP cells for suitability prediction. Despite a high class imbalanced between positive (3.4%) and unlabelled dataset (96.6%), the developed PU classifier achieved a Recall of 84.6%, Precision of 81.5%, and an F1 score of 83%, demonstrating robust and balanced performance. The resulting suitability map identified approximately 7,000 ha of land in the highest suitability class, indicating potential for future terrace development. Feature importance analysis identified land cover as the most influential parameter accounting for 23.9% of the total mean SHAP value, while terrain slope and tree cover density contributed 15.0% and 14.9%, respectively. Comparative analysis between 2017 and 2024 revealed abandonment of terraced agricultural land (29% decrease) as well as revitalization (12% increase). The resulting suitability map and accompanying data layers are accessible through a Google Earth Engine application, aiming to support informed decision-making for sustainable landscape planning.

This research has received financial support from the REACT4MED Project (GA 2122), which is funded by PRIMA, the Partnership for Research and Innovation in the Mediterranean Area, a Programme supported by Horizon 2020, the European Union’s Framework Programme for Research and Innovation. 

 

How to cite: Meena, A. K., Zoumides, C., Djuma, H., Sofokleous, I., Camera, C., and Bruggeman, A.: Mapping agricultural terrace suitability in Mediterranean mountain environments using a positive–unlabelled classification framework, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3453, https://doi.org/10.5194/egusphere-egu26-3453, 2026.

EGU26-3935 | ECS | Orals | SSS9.6

Adaptive Mechanisms of Karst Vegetation Facing Intensifying Drought under a Changing Climate 

Linying Xiao, Jinxing Zhou, Paolo Tarolli, and Giulia Zuecco

Karst regions cover approximately 15% of the global terrestrial surface and serve as important carbon sinks. However, these ecosystems are highly fragile, and the increasing frequency of droughts under climate change poses mounting threats to their ecological stability. In this study, we utilize long-term remote sensing vegetation and climate datasets, combined with a paired-pixel approach and neural network models, to investigate and compare vegetation responses to extreme climate conditions in karst and non-karst regions, providing a scientific basis for the conservation and management of karst ecosystems. Our results indicate that vegetation in karst areas is more likely to survive droughts than that in non-karst regions, owing to its greater drought resistance. Vegetation exhibits a trade-off between drought resistance and resilience: in high-altitude, steep-slope areas with persistent water scarcity, vegetation predominantly displays drought resistance, whereas in more humid regions, it tends to be more resilient. Overall, vegetation responses to extreme climate events differ significantly between karst and non-karst regions, with lithology exerting a strong control over vegetation dynamics. These findings offer important insights to support ecological restoration and adaptive management strategies in karst regions under a changing climate.

 

How to cite: Xiao, L., Zhou, J., Tarolli, P., and Zuecco, G.: Adaptive Mechanisms of Karst Vegetation Facing Intensifying Drought under a Changing Climate, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3935, https://doi.org/10.5194/egusphere-egu26-3935, 2026.

EGU26-4477 | ECS | Posters on site | SSS9.6

Interacting effects of tree-forest structure and terrain on heavy rainfall-induced tree destruction 

Mingkui Hao, Zhao Jin, Xuehong Gong, Pengfei Li, Yi Song, and Daniel Hölbling

Rainstorm events are becoming increasingly frequent due to the impacts of global warming, which results in widespread erosion and associated tree destruction. However, previous studies of forest damage have focused on typhoons or wildfires, largely overlooking the increasing risk of tree destruction caused by rainstorm-induced erosion. It is unclear what scale of tree destruction can be caused by heavy rainfall. In this study, we used a tree segmentation method based on airborne light detection and ranging (LiDAR) technology to accurately quantify the tree destruction caused by heavy rainfall in a representative afforested catchment on the Chinese Loess Plateau. We evaluate the respective and combined contributions of tree structure (tree height, crown diameter, and crown area), forest structure (tree density, gap fraction, leaf area index, and canopy cover), and terrain parameters (elevation, slope, and terrain relief) using machine learning models (random forest and logistic regression). The results show that 3,253 trees in the catchment (0.9 km2) were destroyed due to rainstorm-induced erosion, of which 2,845 trees were located on gully slope landforms, accounting for 87.4% of all destroyed trees. Tree destruction was primarily induced by erosion on steep slopes (45.5°–50.5°) and by sediment deposition along the gully bed. Although the total deposition area (21,265 m²) that resulted in tree destruction exceeded the erosion area (20,020 m²), erosion was more destructive. Importantly, the interaction between increased tree structural parameters and higher canopy density (leaf area index and canopy cover) significantly promoted destruction, likely because the combined biomass and canopy weight increase mechanical load on saturated soils, which can counteract the inhibitory effect of terrain on destruction. This synergy also raises destruction probability at similar elevations. Our study provides a replicable methodology for assessing forest damage under extreme rainfall and highlights the need to avoid overly dense afforestation in vulnerable landscapes. The study underscores the need for improved climate-resilient reforestation strategies that consider both structural and topographic interactions in erosion-prone landscapes.

How to cite: Hao, M., Jin, Z., Gong, X., Li, P., Song, Y., and Hölbling, D.: Interacting effects of tree-forest structure and terrain on heavy rainfall-induced tree destruction, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4477, https://doi.org/10.5194/egusphere-egu26-4477, 2026.

EGU26-6031 | Orals | SSS9.6

Characteristics and evolution of ground substrate in the black soil area of the residual veins of Changbai mountain 

Zhansheng Chen, Xue Chen, Mengying Shao, and Yulei Tang

Background: The study of the formation and evolution of black soils holds significant implications for the sustainable utilization of black soil resources and human societal development. However, research exploring the regularity of black soil formation and evolution through surface substrate investigations remains limited.
Method: This paper, based on the novel concept of “surface substrate layer” proposed by China’s Ministry of Natural Resources, takes the black soils in Fengcheng City and Kuandian County of Dandong City, Liaoning Province, China as the research object.
Objective: Through integrated analysis of surface substrate classification and geochemical element characterization, this study systematically elucidates the multidimensional controlling mechanisms of parent rock properties on black soil pedogenesis for the first time.
Results: The results demonstrate pronounced differences in soil characteristics developed from various parent materials. In terms of physical properties: soils formed by the weathering of sedimentary rocks (e.g., carbonate rocks) exhibit finer particle sizes, while soils derived from older metamorphic rocks (e.g., TTG gneiss) have the coarsest particle sizes; soil pH is primarily influenced by parent rock mineral composition, with basic rocks (e.g., basalt) developing acidic soils whereas marble forms neutral soils; soil bulk density correlates with the compactness of parent rocks, with soils developed from Cenozoic basalt
exhibiting the highest bulk density. Regarding geochemical characteristics: principal component analysis clearly distinguishes soils developed from different parent rock types, demonstrating their elemental composition inheritance from parent rocks. Chemical index of alteration (CIA) and silica-alumina ratio (Sa) analyses reveal that basic rocks (e.g., Cenozoic basalt) undergo the highest degree of weathering, while metamorphic rocks such as TTG gneiss exhibit the greatest weathering resistance. Beneficial trace elements (e.g., Se, N, P) are generally enriched, but their enrichment levels are closely related to parent rock types. Therefore, lithology of parent rocks serves as the key factor controlling the formation and differentiation of surface substrate properties in the study area’s black soil.
Conclusions: This understanding holds significant scientific importance for deepening the comprehension of black soil formation and evolution patterns, as well as for implementing precise conservation measures and soil quality improvement based on surface substrate investigation backgrounds.

How to cite: Chen, Z., Chen, X., Shao, M., and Tang, Y.: Characteristics and evolution of ground substrate in the black soil area of the residual veins of Changbai mountain, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6031, https://doi.org/10.5194/egusphere-egu26-6031, 2026.

Land-use transitions associated with the rapid expansion of ground-mounted photovoltaic (GMPV) parks represent an emerging anthropogenic disturbance with potential consequences for plant–soil feedbacks and ecosystem stability. While vegetation re-establishment is often used as an indicator of ecosystem recovery following such transitions, it remains unclear whether aboveground recovery reliably reflects the recovery of belowground soil processes.

Here, we use multi-year monitoring to examine vegetation dynamics, soil biotic responses, and soil carbon and nutrient trajectories following the conversion of a lowland forest plantation into a GMPV park in subtropical Taiwan. Vegetation cover beneath twelve solar panels was monitored monthly, while soil arthropod communities were sampled using pitfall traps over one year, with adjacent forest plantation plots serving as reference sites. Soil organic carbon (SOC) and total nitrogen concentrations were quantified during the construction phase (2022) and one and two years after operation (2024 and 2025).

Vegetation cover increased steadily beneath solar panels during the operational phase and was accompanied by a pronounced increase in soil arthropod abundance, exceeding that observed in the reference forest. Taxonomic richness approached forest levels; however, community composition remained significantly distinct, indicating the emergence of a novel soil biotic assemblage. In contrast, SOC and total nitrogen concentrations showed no detectable recovery over the same period. The dominance of fern vegetation appeared to provide insufficient organic inputs to support soil carbon accumulation, revealing a clear decoupling between aboveground vegetation recovery and belowground carbon and nutrient dynamics.

Rather than testing specific mechanisms, this observational study identifies a consistent recovery pattern that generates testable hypotheses. We propose that, in typhoon-prone regions, engineering requirements for GMPV installations may impose stronger constraints on soil structure, potentially amplifying soil compaction and hydrological alteration, thereby delaying the recovery of soil carbon and nutrient pools despite rapid vegetation re-establishment. These findings highlight the risk that vegetation-based assessments may mask persistent soil limitations and emphasize the need to incorporate soil biological and biogeochemical indicators when evaluating the long-term sustainability of renewable energy landscapes in climate-risk-prone regions.

How to cite: Wang, C. and Chang, R.-C.: Vegetation recovery masks decoupled soil responses following land-use transition to ground-mounted photovoltaic parks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6611, https://doi.org/10.5194/egusphere-egu26-6611, 2026.

EGU26-8374 | Posters on site | SSS9.6

Assessing mangrove vulnerability to climate and land use changes in Pacific Islands using a catchment-to-coast modelling framework. 

Eliana Jorquera, Jose Rodriguez, Patricia Saco, Juan Quijano Baron, Angelo Breda, and Steven Sandi

Mangrove wetlands in the Pacific Islands are among the most significant yet vulnerable ecosystems, providing critical services such as habitat for marine life, flood protection, and carbon storage. Located in low-lying coastal zones, these wetlands face severe threats from sea-level rise (SLR), climate variability, and human-induced pressures, including land-use changes and flood management. Their capacity to persist under these conditions depends largely on sediment availability, as accretion-driven by sediment deposition and organic matter accumulation—enables mangroves to keep pace with rising sea levels.
This study employs an integrated modelling framework that combines hydro-sedimentological simulations of catchment processes with eco-geomorphological models of coastal wetlands to assess long-term resilience under current and future scenarios. We evaluate sediment loads from inland catchments, influenced by cropland expansion, management practices, and extreme events such as tropical cyclones, and incorporate these dynamics into wetland evolution models alongside SLR projections. This methodology not only improves understanding of key drivers of wetland stability but also offers a transferable tool for assessing vulnerability in other data-limited regions worldwide.

How to cite: Jorquera, E., Rodriguez, J., Saco, P., Quijano Baron, J., Breda, A., and Sandi, S.: Assessing mangrove vulnerability to climate and land use changes in Pacific Islands using a catchment-to-coast modelling framework., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8374, https://doi.org/10.5194/egusphere-egu26-8374, 2026.

EGU26-8554 | ECS | Orals | SSS9.6

How to apply thermodynamic optimality principles to co-evolved soil-vegetation systems 

Christopher Lyell, Erwin Zehe, Patrick Lane, and Gary Sheridan

Optimality in the co-evolved soil-vegetation system has been a highly debated topic by researchers for over a century. Widely accepted conceptual models in the biogeosciences such as Jenny's model of soil development and Holdridge life zones have hypothesised the co-evolution of soils, vegetation and climate, highlighting systematic functional patterns across climate gradients. Modelling of these systems has significant complexity due to the feedbacks between the abiotic and biotic sub-systems and the variance in temporal and spatial scales that they operate. This often results in the under-representation of soil development and its constraint on system evolution, dynamics and fluxes. Thermodynamic optimality principles (TOP) in the form of maximum power and entropy production have been proposed as a modelling approach to explain natural system trajectories. However, to date there has been minimal work utilising these approaches and highlighting its benefits and limitations in modelling the co-evolved soil-vegetation system. We believe this is in part due to three main issues which will be addressed in this work: 1) The lack of a clear case being made for why TOP is an applicable approach, 2) Inconsistency in the methodology surrounding the application of TOP when modelling energy, water and mass dynamics, and, 3) The spatial and temporal scales that adhere to TOP, capturing gradients, feedbacks and boundaries has not been critically evaluated for the soil-vegetation system. By addressing these current knowledge gaps within the literature, we clarify the benefits and limitations of utilising TOP in the modelling of these complex systems, creating a path forward for modelling trajectories of these systems within a thermodynamic framework which can be critically assessed and compared to real world observations.

How to cite: Lyell, C., Zehe, E., Lane, P., and Sheridan, G.: How to apply thermodynamic optimality principles to co-evolved soil-vegetation systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8554, https://doi.org/10.5194/egusphere-egu26-8554, 2026.

EGU26-10049 | Orals | SSS9.6

Linking fractal scaling of river networks to self-organisation and optimality 

Erwin Zehe, Samuel Schroes, and Hubert Savenije

The beauty of river networks has continuously inspired science to elucidate their self-similarity and the underlying organizing principles. In his pioneering work, Robert Horton postulated several laws explaining the scaling of stream networks, which are today widely accepted in fluvial geomorphology. Another avenue to explain the nature of river networks acknowledges that landforms in general and rivers in particular have been shaped by the physical work of surface runoff in the past. Several studies proposed thus that river networks and their watershed co-evolve towards energetically optimal steady states, minimizing total dissipation or energy expenditure in the entire network. Here we reconcile both research avenues, by linking Horton’s stream laws with the theories of river hydraulics and of non-linear, dissipative dynamic systems.

We found that 18 of the largest streams on Earth have self-organized in a highly similar way despite they spread across nearly all continents, climate zones and various geological settings. Specifically, we show that Horton stream numbers of these rivers exhibit a strongly similar fractal scaling with downstream increasing catchment area. This scaling reflects a step-wise transition of the stream network from a high to a low entropy state by means of channel confluence. By combining this insight with energy balance calculations, we found that the potential energy flux in all these rivers was found to grow with catchment size, implyingthatthese “river engines” generate power at largely similar rates, creating the necessary degrees of freedom for their downstream self-organization. Based on null model for energy dissipation in the stream network in combination with Lacey’s theory, we show that all these streams perform uniform work along their course, while energy dissipation is minimized at every junction. A minimization of specific energy dissipation per unit discharge yields, furthermore, a theoretical scaling exponent of Horton stream numbers which drops into the error margin of the averaged observed scaling exponents.

Overall, our work reveals that the joint analysis of Horton’s stream laws of stream numbers and areas holds the key to a universal relation for self-organization of river networks towards a functional optimum, minimizing energy dissipation and thus maximizing power in the entire network.

How to cite: Zehe, E., Schroes, S., and Savenije, H.: Linking fractal scaling of river networks to self-organisation and optimality, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10049, https://doi.org/10.5194/egusphere-egu26-10049, 2026.

EGU26-10446 | ECS | Posters on site | SSS9.6

Pedological and agronomic assessment of salt-affected rice cultivation areas along a coastal gradient in the Zambezi Delta, Mozambique 

Benjamim Armando, Jakob Herrmann, Sebastião Inácio Famba, Ricardo Maria, Libère Nkurunziza, Sara Esperanza Matendo, Antonio Gutiérrez Pola, Katharina Lenhardt, and Mikutta Robert

Land degradation driven by climate change is increasingly manifested through soil salinity and sodicity in Eastern Africa, posing major threats to ecosystem functioning and agricultural productivity. In the region, including Mozambique, rice is a key staple crop cultivated on salt-affected soils. Salinity constraints are common to coastal rainfed and irrigated lowland rice production systems, with either direct seawater influence or irrigation with saline and/or sodic water resources. While the development of locally adapted salt-tolerant rice varieties is progressing, there is a major research deficit regarding the pedological variability and associated soil biogeochemical processes in the salt-affected rice production systems of Eastern Africa. Such knowledge is essential for designing sustainable soil and water-based salinity management strategies under increasing climate and land-use pressure. The recently initiated DFG-funded project “Disentangling the impact of salinity and sodicity on organic matter cycling in paddy soils of Tropical Eastern Africa” aims at addressing this knowledge gap. The focus lies on Mozambique’s principal rice production system in the lowlands of the Zambezi River Delta, where progressing seawater intrusion and agricultural encroachment on saline wetland ecosystems lead to pedological situations with varying degrees of salinity impact. We report preliminary results from an initial field survey conducted in June 2025 (onset of the dry season), which covered two sampling transects comprising contrasting rice cultivation environments defined by soil texture (heavy clay Fluvisols vs. interdunal sand/loamy sand Arenosols) with 3 field locations each, representing a gradient of soil salinity. In relation to this study design, we present data comprising soil profile descriptions, soil salinity parameters, along with organic matter and nutrient contents. Output from first selected farmer interviews complement the pedological assessment, providing insights into local perceptions of experienced environmental change and prevailing agronomic practices.

How to cite: Armando, B., Herrmann, J., Famba, S. I., Maria, R., Nkurunziza, L., Matendo, S. E., Gutiérrez Pola, A., Lenhardt, K., and Robert, M.: Pedological and agronomic assessment of salt-affected rice cultivation areas along a coastal gradient in the Zambezi Delta, Mozambique, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10446, https://doi.org/10.5194/egusphere-egu26-10446, 2026.

EGU26-10653 | Orals | SSS9.6

Reducing Nitrogen Fertilizer Inputs in Melon Production Using NBI Plants under Arid Conditions in Southern Tunisia 

Fatma Wassar, Ines Toumi, Imen Ayadi, Neji Mahmoudi, Mahmoud Bali, Ridha ElBeji, Rachid Boukchina, Latifa Dhaouadi, and Francisco Garcia

Excessive use of nitrogen fertilizers in arid and semi-arid regions poses serious environmental and agronomic challenges, including nitrate leaching, soil degradation, and reduced nitrogen use efficiency. This study evaluated the potential of nitrogen fertilizer reduction combined with nitrogen biological inhibitor (NBI) plants to sustain melon (Cucumis melo L. cv.yellow canari) productivity and quality under arid conditions in southern Tunisia during the 2025 growing season. This research was carried out as part of the PRIMA-funded TELENITRO project. The experiment compared a conventional nitrogen fertilization regime (control, N1) with two reduced nitrogen levels, namely 15% (N2) and 30% (N3) reductions, integrated with four NBI plant species: Medicago sativa (alfalfa), Panicum maximum, Sorghum commun, and Brachiaria hybrida. Production parameters, yield components, fruit quality traits, and nitrogen dynamics in soil and leaves were assessed. Results showed that nitrogen reduction significantly affected fruit size and yield, although the magnitude varied according to the associated NBI species. Under the 15% N reduction (N2), treatments incorporating Alfalfa, Panicum, and Brachiaria maintained fruit length, width, and seed cavity dimensions comparable to the control, while Sorghum resulted in lower fruit weight and yield. Average total yield under N2 ranged from 24.4 to 32.3 t ha⁻¹, with Panicum and Brachiaria showing the closest performance to the control (38.5 t ha⁻¹). At 30% nitrogen reduction (N3), a general decline in yield and average fruit weight was observed; however, Brachiaria and Panicum still produced acceptable yields, indicating their higher capacity to mitigate nitrogen reduction effects. Fruit quality parameters, including soluble solid content (SSC), dry matter content (DMC), and firmness, were not significantly affected by nitrogen reduction or NBI treatments, suggesting that fruit market quality was preserved. Soil nitrate and ammonium concentrations varied significantly over time and among treatments, with reduced nitrogen treatments generally exhibiting lower soil nitrate accumulation than the control, particularly at later sampling dates. Leaf nitrate concentrations were significantly reduced under NBI treatments, especially under N3, while ammonium content and C/N ratios indicated improved nitrogen assimilation efficiency in treatments associated with Sorghum and Brachiaria. Overall, the results demonstrate that integrating selected NBI plants, particularly Brachiaria and Panicum, allows a reduction of nitrogen fertilizer inputs by up to 15%—and partially 30%—without major yield or quality losses. This approach represents a promising, environmentally friendly strategy for sustainable melon production in arid regions of Tunisia.

How to cite: Wassar, F., Toumi, I., Ayadi, I., Mahmoudi, N., Bali, M., ElBeji, R., Boukchina, R., Dhaouadi, L., and Garcia, F.: Reducing Nitrogen Fertilizer Inputs in Melon Production Using NBI Plants under Arid Conditions in Southern Tunisia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10653, https://doi.org/10.5194/egusphere-egu26-10653, 2026.

EGU26-11640 | ECS | Orals | SSS9.6

Soil responses to timber harvesting in coniferous forests of the Valle d’Aosta region 

Gaia Mascetti, Marta Galvagno, Alessio Cislaghi, and Michele D'Amico

Timber harvesting can exert significant direct and indirect impacts on forest soil development and properties. It alters microclimatic conditions and reduces forest litter inputs, influencing humus formation, soil biological activity, and nutrient cycling. Moreover, increased soil exposure can enhance erosion processes, leading to the loss of organic and surface horizons. Together, these processes can substantially modify soil physical, chemical, and biological properties, with consequences for forest ecosystem functioning. The aim of this study was to assess the effects of timber harvesting on soil properties and development, and the underlying pedogenetic processes involved, approximately ten years after the end of harvesting activities.

The study was conducted in the Valle d’Aosta region (northwestern Italy). Six forest parcels classified as spruce-dominated coniferous forests, located between 1270 and 1850 m a.s.l. and predominantly east- or west-facing, were selected. Timber harvesting operations were completed by 2017, mostly in 2013, using the most common regional systems (cable yarding and winch-equipped tractors). Within each parcel, soil profiles were described and sampled by horizons in the harvested areas and adjacent control (non-harvested) areas. Soils and humus types were classified according to WBR and European humus forms reference base, respectively. Differences between soil profiles were evaluated considering carbon stock (C stock), pH, carbon to nitrogen ratio (C/N), thickness of organic horizons, soil structure, and biological activity.

Several variables, including pH and C/N, did not show consistent trends in relation to timber harvesting, likely due to the dominant influence of environmental factors, such as elevation, parent material, soil type and precipitation. In contrast, timber harvesting significantly affected organic horizons, resulting in a substantial reduction in OF thickness and C stock. A decrease in C stock was also observed in mineral horizons, particularly within the upper 40 cm, although it was less pronounced than in organic horizons. Consequently, the relative contribution of organic and mineral horizons to total carbon stock was also altered, with a reduced organic-to-mineral C stock ratio in harvested soils. These effects were mainly attributed to reduced litter inputs and altered microclimatic conditions, that shifted the balance between organic matter accumulation and decomposition toward degradation process. Moreover, the development of herbaceous vegetation in the harvested areas, whose deep root systems promoted microbial activity and organic carbon decomposition, further contributed to carbon losses in mineral horizons.

These changes also affected pedogenetic processes, particularly in Podzols, with the exception of the most strongly leached. Indeed, reduced acidic litter inputs from coniferous species led to a slowdown or cessation of podzolization processes, while herbaceous root systems provided continuous organic matter inputs to the E horizon. In addition, the increased biological activity, evidenced by abundant earthworm presence in harvested soils, promoted horizon mixing.

Therefore, by driving a shift from coniferous forest to herbaceous vegetation, timber harvesting can strongly influence soil properties and pedogenetic processes at different soil depths, over relatively short timeframes compared to soil formation rates. Enhanced biological activity emerged as a key driver of soil structural modification, humus transformation, and carbon stock reduction.

How to cite: Mascetti, G., Galvagno, M., Cislaghi, A., and D'Amico, M.: Soil responses to timber harvesting in coniferous forests of the Valle d’Aosta region, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11640, https://doi.org/10.5194/egusphere-egu26-11640, 2026.

EGU26-13616 | Orals | SSS9.6

The evolution of desertification modelling research: A bibliometric analysis of thematic structure and change 

Ana Vasques, Sofia Corticeiro, and Jan Jacob Keizer

Desertification is a long-standing and growing challenge in dryland regions worldwide, with serious consequences for ecosystems and livelihoods. Because desertification often results from an interaction between climatic variability, land use practices, and socio-economic pressures, models have become essential tools to analyse processes, explore future scenarios, and support environmental decision-making. Over the past four decades, a wide range of models has been applied to desertification research. However, it remains unclear how this body of modelling work has evolved over time, what it has prioritised, and whether it adequately supports land management and policy interventions.

To address this gap, a bibliometric analysis focusing on thematic structure and evolution was conducted to examine desertification modelling research published between 1981 and 2026. A broad search of the Web of Science database was used to capture studies linking desertification, and modelling, which after removing duplicates, resulted in a dataset of 3,200 scientific publications. Using the bibliometrix package in R, publication trends and keyword relationships were analysed to identify dominant research topics and their development over time. Thematic maps were produced for four consecutive periods to assess which themes are most central to the field and how conceptually developed they are within each period. A thematic evolution analysis was then applied to summarise how major research themes persist, emerge, or decline across decades.

The results show that desertification modelling research has expanded substantially across the study period, rising from a small number of studies in the 1980s and 1990s to rapid growth after 2000, with the majority of publications appearing in the last decade. Themes related to drought, rainfall variability, climate change, and modelling techniques consistently dominate the research landscape. On the other hand, impact and management themes remain marginal, suggesting a limited integration of social and decision-making dimensions within dominant modelling approaches. This observation was reinforced by the keyword co-occurrence network which showed an abundance of climate-related and modelling terms, while rarely showing social and management-oriented keywords. At the same time, desertification itself becomes a more specialised topic over time shifting towards a peripheral position relative to climate-driven and model-focused research.

These findings point to a clear imbalance when viewed through the Driver–Pressure–State–Impact–Response (DPSIR) framework, which conceptualises environmental problems as chains linking causes, system changes, consequences, and societal responses. While drivers and environmental states are well represented in the modelling literature, responses are weakly addressed. Building on this bibliometric analysis, the next phase of the study will undertake a scoping review of desertification models to systematically examine which DPSIR components are represented, how they are modelled, and to what extent existing models support management and policy decisions.

How to cite: Vasques, A., Corticeiro, S., and Keizer, J. J.: The evolution of desertification modelling research: A bibliometric analysis of thematic structure and change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13616, https://doi.org/10.5194/egusphere-egu26-13616, 2026.

EGU26-14155 | Posters on site | SSS9.6

Evaluating nature-based agricultural practices and their influence on soil and water quality using a multi-parameter and long-term dataset 

Stefanie Lutz, Cécile Alsbach, Joachim Rozemeijer, and Stefan Dekker

Current agricultural practices can have a strong impact on soil and water quality. Continuous manipulation of the soil deteriorates soil structure and promotes soil erosion. Application of pesticides, and leaching of excess nutrients through overfertilization decreases soil life and negatively affects surface water and groundwater quality, with consequences for ecosystems and drinking water provisioning. Therefore, it is necessary to find innovative farming approaches that mimic or restore the natural functioning of soils in agricultural systems, thereby enhancing soil health and soil hydrological functioning, and decreasing nutrient transport from agricultural fields to groundwater and surface water. So far, research into the effect of innovative and nature-based agricultural practices has largely focused on soil parameters, and only a few studies have assessed the combined effects of different agricultural practices based on soil and groundwater indicators. In this study, we present a unique combination of long-term data (i.e., the results of a 23-year long experiment), spatially highly resolved soil and groundwater concentrations of carbon, nitrogen, and phosphorus compounds, nitrate isotope data, and soil health parameters (e.g., soil biodiversity) to compare the effects of tillage (conventional tillage and non-inversion tillage) and organic matter amendments (artificial fertilizer, manure slurry, and compost addition) in both a conventional and organic farming system in the Netherlands. Our first results show that phosphorus and nitrogen dynamics on the agricultural fields are not coupled, and that organic sites behave differently to the other fields especially for nitrogen. For example, nitrate concentrations in groundwater below these fields are much lower and nitrate shows a strong denitrification signal. For phosphorus, application of animal manure appeared to be the main driver of high concentrations in both soil and groundwater. Moreover, soil biodiversity is generally higher in the organic farming system. Overall, the differences between conventional and organic farming systems are pronounced, while other agricultural practices seem to have a secondary role for soil health and water quality.

How to cite: Lutz, S., Alsbach, C., Rozemeijer, J., and Dekker, S.: Evaluating nature-based agricultural practices and their influence on soil and water quality using a multi-parameter and long-term dataset, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14155, https://doi.org/10.5194/egusphere-egu26-14155, 2026.

EGU26-14167 | ECS | Orals | SSS9.6

Evolution of Agricultural Landscape Elements in Córdoba (2005–2025) Using Orthophotos and GIS: Dynamics, Losses and Opportunities under the CAP Framework 

Miguel Itarte Basterra, Santiago Pedraza Moya, José Mora, Gema Guzmán, and José Alfonso Gómez Calero

The Common Agricultural Policy, CAP, 2023-2027 reinforces the relevance of agricultural landscape features such as hedges, linear plantations, isolated trees, groves and islands of vegetation. In this way, these elements are no longer considered marginal spaces without agricultural value but rather form part of an essential and valued green infrastructures.

This work focuses on the study of the evolution of these landscape elements and potential areas for the assessment of their status in the agricultural area of the municipality of Córdoba (Spain). Thus, a comparison has been made between the situation in 2005 and the current situation to assess if:

1- Changes in land use during this period may have influenced the increase/decrease in landscape elements.

2- Different interventions carried out within the region have increased the number of these elements.

The work was carried out by analysing freely available information such as orthoimages from the National Aerial Orthophotography Plan (IGN) comparing them with GIS products from the Geographic Information System for Agricultural Parcels (SigPac, 2001). In addition, other GIS products (IGN) from previous years were consulted in order to carry out checks on the evolution of the elements.

The comparison showed a decrease in potential areas corresponding to pre-existing inactive hydrographic network. However, the appearance of new gullies was also recorded, compensating for the lost surface area. In the case of unproductive strips, the total balance resulted in a decrease of surface area.

In the case of groups of woody vegetation developed in the inactive hydrological network, there was an increase in pre-existing groups and new ones were inventoried in areas where this type of vegetation did not previously exist (a great part in the network of new gullies inventoried). Regarding linear plantations, almost the entire recorded length was maintained, in addition to an increase of almost the same length as a result of new plantations. In the case of hedgerows, replanting initiatives and some natural developments compensated for the disappearance of some areas due to agricultural activity and the natural death of vegetation.

Main conclusions of this analysis suggest:

1- The increase of surface and technification of olive cultivation favoured the disappearance of some landscape elements.

2- Gullies and linear structures are potential elements to develop and increase natural vegetation.

3- The municipality of Cordoba still shows high potential to implement vegetation-based measures to improve ecosystem services.

 

References

Ayuntamiento de Córdoba. (2008). Proyecto de Diversificación del Paisaje Rural de la Campiña del TM Córdoba. Concejalía de Medio Ambiente.

Guzmán et al.2022. Land Use Policy, 116, 106065.

 

Acknowledgements: Grant PID2023-146177OB-C21 and C22 funded by MICIU/AEI/10.13039/501100011033 and “ERDF A way of making Europe”, by “ERDF/EU”.

How to cite: Itarte Basterra, M., Pedraza Moya, S., Mora, J., Guzmán, G., and Gómez Calero, J. A.: Evolution of Agricultural Landscape Elements in Córdoba (2005–2025) Using Orthophotos and GIS: Dynamics, Losses and Opportunities under the CAP Framework, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14167, https://doi.org/10.5194/egusphere-egu26-14167, 2026.

EGU26-14495 | ECS | Orals | SSS9.6

On the stripe width distribution of regular vegetation patterns 

Karl Kästner
At hillslopes, arid ecosystems tend to form characteristic spatial patterns consisting of alternating vegetated and bare stripes. As such patterns form autogenously, they can potentially provide insight into the ecosystem functioning, health, and resilience. While the spectral properties of striped patterns are well understood, less is known about the stripe width. To fill this gap, I address several essential questions: 1) What is the general form of the stripe width distribution (SWD)? 2) How do exogenous random spatial heterogeneities modulate the SWD? 3) How can the regularity of patterns be measured based on the SWD? 4) What can the SWD reveal about the health and resilience of ecosystems? 5) What caveats complicate the estimation and interpretation of the SWD? To answer these questions, I first derive a theoretical SWD based on a parsimonious stochastic model for anisotropic patterns, and second, systematically explore the stripe width distributions of patterns generated  with the more complex Rietkerk model which explicitly accounts for pattern forming processes. I ensure variation of the stripe width in the simulations by simulations by perturbing the infiltration capacity randomly in space. I find that the theoretical SWD agrees very well with the SWD of patterns generated in one-dimensional simulations, and after a small extension, also agrees reasonably well with that of patterns generated in two dimensions. Finally, I compare the theoretical SWD to that of natural striped vegetation patterns.

How to cite: Kästner, K.: On the stripe width distribution of regular vegetation patterns, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14495, https://doi.org/10.5194/egusphere-egu26-14495, 2026.

EGU26-14663 | ECS | Posters on site | SSS9.6

Harmonized Geospatial Databases of Environmental parameters to Assess Land Degradation and Support Sustainable Cultivation of Neglected and Underutilized Species in the Mediterranean Region 

Marta Cosma, Cristina Da Lio, Pablo Agustín Yaciuk, Sandra Donnici, Fathia Jarray, Mohamed Lassaad Kotti, Taoufik Hermassi, Vassilis Aschonitis, and Luigi Tosi

The Mediterranean region is increasingly affected by water scarcity, land degradation, and desertification processes driven by unsustainable land management practices and climate change, with significant impacts on agricultural sustainability and food security. In this context, Neglected and Underutilized Species (NUS), due to their adaptability to marginal and degraded environments and low input requirements, represent a viable option for enhancing agroecosystem resilience while contributing to sustainable land management and restoration efforts. In this study, a harmonized geospatial database at the scale of the Mediterranean basin was developed by integrating over 30 abiotic parameters, including soil properties, topography, vegetation, land cover, and climate indicators. Freely available global datasets were harmonized at a consistent spatial resolution and reference system and used to derive a set of key indicators that support cost-effective, large-scale assessments of soil health and climate stress over extensive areas. Both historical climate observations and CMIP6 future projections under SSP2-4.5 and SSP5-8.5 scenarios were considered.

Using internationally recognized classification standards and unsupervised clustering techniques, we performed a spatial zonation of abiotic environmental conditions by first classifying each individual parameter according to threshold-based schemes indicative of soil functional limitations or climate-induced stress. These classifications were subsequently integrated through a linear combination of the parameter-specific classes to jointly assess cumulative environmental constraints. This approach enabled the spatial identification of areas where an increasing concentration and severity of unfavourable conditions correspond to higher levels of land marginality and degradation susceptibility, and thus potential suitability for sustainable, low-input NUS cultivation across the Mediterranean basin.

This comprehensive dataset supports evidence-based land-use planning and climate-adaptation strategies, providing a foundation for scaling NUS cultivation to enhance ecosystem resilience and agricultural productivity under changing environmental conditions. The resulting database further underpins the development of decision-support tools for sustainable land-use planning and climate adaptation in Mediterranean agroecosystems.

This work was conducted in the framework of the project VENUS - “ConVErting marginal lands of the Mediterranean basin into productive and sustainable agroecosystems using low water demanding Neglected and Underutilized Species” funded by the PRIMA programme (Grant Agreement No. 2312) supported by the European Union’s Horizon 2020 research and innovation programme.

How to cite: Cosma, M., Da Lio, C., Yaciuk, P. A., Donnici, S., Jarray, F., Kotti, M. L., Hermassi, T., Aschonitis, V., and Tosi, L.: Harmonized Geospatial Databases of Environmental parameters to Assess Land Degradation and Support Sustainable Cultivation of Neglected and Underutilized Species in the Mediterranean Region, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14663, https://doi.org/10.5194/egusphere-egu26-14663, 2026.

EGU26-14869 | Orals | SSS9.6

From Community Evidence to Desertification Policy: Participatory Water Management and Local Knowledge in Brazil’s Semi-arid Region 

Rodolfo Nóbrega, Carlos Galvão, Jaskiran Chohan, and John Cunha and the OCA team

Desertification and drought are reducing water availability across Brazil’s semi-arid region, undermining livelihoods and exposing limitations in current water governance. More equitable and durable responses require approaches that combine scientific analysis with traditional ecological knowledge and participatory water-management practices. This study presents a collaborative project co-developed with Quilombola and Indigenous communities in a region severely affected by water scarcity and land degradation. Using an intersectional participatory framework, we integrate hydrological modelling and spatial analysis with qualitative fieldwork to identify policy gaps, constraints, and opportunities to strengthen water security. We mapped priority areas for water conservation and restoration and identified locations where desertification processes are advanced, especially in zones with an aridity index below 0.65. We also present preliminary results from focus groups and participatory workshops that surface community-defined water risks, locally grounded indicators of degradation, and feasible adaptation and restoration strategies. These insights are being directly mobilised in parallel policy discussions, creating a feedback loop between community evidence and decision-making. Specifically, our preliminary findings are feeding into the design of a state-level policy to combat desertification by supporting participatory planning, targeting priority areas, and strengthening implementation mechanisms that reflect both local realities and scientific evidence. This work contributes to Brazil’s National Action Plan to Combat Desertification and Mitigate the Effects of Drought and supports UNCCD and SDG targets related to water security and sustainable land management.

How to cite: Nóbrega, R., Galvão, C., Chohan, J., and Cunha, J. and the OCA team: From Community Evidence to Desertification Policy: Participatory Water Management and Local Knowledge in Brazil’s Semi-arid Region, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14869, https://doi.org/10.5194/egusphere-egu26-14869, 2026.

Tropical Montane Cloud Forests (TMCFs) are considered a rare and highly specialized type of ecosystem. They are distinguished by the frequent presence of clouds and mist at the canopy level. They occur where mountains are regularly enveloped by trade wind–driven orographic clouds and convective cloud systems. TMCFs are strongly linked to regular cycles of cloud formation, with one of the most direct ecological influences being the deposition onto soil and vegetation surfaces through fog interception. This process contributes to consistently high moisture availability and supports unique forest structure, productivity, and biodiversity. 

Despite their high biodiversity and endemicity, TMCFs are ranked among the most threatened ecosystems on a global scale. This distinct ecozone is restricted by elevation, terrain, precipitation, and climate. Furthermore, due to the fragmentation of TMCFs and their susceptibility to climate change, their ecological threat levels are higher. TMCFs are extremely sensitive to climate change and human activities. Climate change not only threatens TMCFs but also reduces the possibility of  upward treeline movement because of high solar radiation and evaporation at higher altitudes. 

Despite their ecological importance, TMCFs are experiencing rapid degradation because of climate change and land-use pressure. Rising temperatures, altered precipitation regimes, and shifts in cloud base height threaten to reduce suitable climatic envelopes, accelerate habitat fragmentation, and disrupt ecological connectivity across montane landscapes. As a result, elevation, landscape, precipitation and climate are the main constraints of TMCFs. These limitations make TMCFs particularly vulnerable to environmental change. Therefore, it is crucial to understand how TMCFs forest structure and connectivity are distributed across space. 

 Using remote-sensing and spatial modeling framework, this study evaluates habitat suitability and landscape connectivity of three species in Mesoamerican TMCFs. The three species are cloud-forest–associated vertebrates: Resplendent Quetzal (Pharomachrus mocinno), Violet Sabrewing (Campylopterus hemileucurus), and Baird’s Tapir (Tapirus bairdii). The analyses presented here emphasize cloud forest condition and connectivity rather than species-specific outcomes.

The region of interest ranges from southern Mexico through Central America, including core TMCFs areas found in Guatemala, Honduras, Nicaragua, Costa Rica, and western Panama. Species occurrence data was gathered from iNaturalist and eBird platforms. A set of environmental predictors covering climate, topography, vegetation productivity, and anthropogenic pressure were compiled from global databases. Habitat suitability models were produced through Maximum Entropy (Maxent), a species distribution modeling approach, by utilizing these environmental predictors and evaluating their accuracy using k-fold cross-validation tests. These suitability outputs were further transformed into resistance surfaces and used to identify high-resistance cloud forest areas, movement corridors, and bottlenecks. 

We expect suitable TMCF habitat to be highly related to high-elevation, moist environments and to decline sharply across lowland and landscapes with human intervention. Under continued climate warming and the expansion of human activities, further contraction and fragmentation of TMCFs are anticipated, increasing the importance of remaining habitats for maintaining ecological resilience.

By centering on TMCFs structure and connectivity, this study provides spatially explicit information to support conservation prioritization, land-use planning, and climate-adaptation strategies, offering decision-makers a scalable framework for protecting one of the world’s most climate-sensitive ecosystems.

How to cite: Cai, K. and Hope, V.: Spatial Modeling of Habitat and Connectivity for Three Forest Vertebrates in Mesoamerican Cloud Forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15426, https://doi.org/10.5194/egusphere-egu26-15426, 2026.

Human-caused habitat loss paired with degradation driven by land-use and climate change represent the most challenging threats to global biodiversity. These factors increased habitat fragmentation and disrupted ecological processes. Characterizing landscape connectivity is necessary for conservation planning and maintaining viable populations under increasing anthropogenic pressure. Factorial least-cost path (FLCP) analysis is a functional connectivity approach that can infer the distribution and abundance of movement pathways between all core areas or individuals across a landscape. Unlike pairwise least-cost paths, FLCPs compute cost-distance paths for every source–destination pair, creating a spatial surface that reflects movement abundance and redundancy on pathways. FLCP analyses can be valuable for identifying redundant pathways and bottlenecks under changing environmental conditions yet require advanced technical expertise and computational capacity, limiting accessibility for non-specialist users.

This study compares two connectivity modeling frameworks: the Universal Corridor Network Simulator (UNICOR) and the Connecting Landscapes (CoLa) decision-support system to evaluate their performance when applied to Tropical Montane Cloud Forests (TMCF) landscapes. TMCFs are defined by persistent cloud cover that creates distinct climatic conditions necessary to maintain biodiversity. TMCFs are one of the most climate-sensitive habitats because of their restricted climate, natural fragmentation, and endemic levels. 

Both tools implement resistance-based approaches to modeling movement though there are differences in conceptual design, computational structure, and connectivity outputs. UNICOR applies a factorial least-cost path approach in which individual-based movement probabilities are computed for each source–destination pair, yielding a connectivity network appropriate for analyzing the overall permeability of the study regions landscapes. In contrast, CoLa functions as an integrated conservation decision-support system for conserving biological diversity, applying habitat suitability and resistance connectivity models simultaneously. Resulting in CoLa producing multiple connectivity maps including dispersal kernels, corridor areas, and least-resistance pathways, maintaining its focus on decision support in the field of biological conservation.

The growing demand for connectivity modeling outputs that are both interpretable and transparent fueled the inspiration for this comparison. Although UNICOR works better to represent emergent connectivity patterns across entire populations, CoLa emphasizes accessibility for assessing the trade-offs of development and biodiversity conservation. Despite their growing use, few studies have systematically compared outputs from these tools within the same ecological system, especially the newborn system CoLa. Users and practitioners have limited guidance for selecting connectivity approaches suited to spatial scales and data constraints.

To make these comparisons ecologically meaningful,  Resplendent Quetzal (Pharomachrus mocinno), Violet Sabrewing (Campylopterus hemileucurus), and Baird’s Tapir (Tapirus bairdii) were employed to initiate resistance surface development. These species span canopy, mid-story, and terrestrial movement strategies, enabling assessment of how each modeling framework represents connectivity across ecological guilds.

Both UNICOR and CoLa were implemented on the same resistance data derived from climate, vegetation productivity, topography, and anthropogenic pressure across montane regions throughout Mesoamerica. Resulting connectivity networks were compared in terms of spatial patterning, corridor density, bottleneck identification, and interpretability for conservation planning. Through this comparison, the study highlights how tool choice influences connectivity interpretation and conservation conclusions in montane environments.



How to cite: Hope, V. and Cai, K.: Comparing Factorial Least-cost Path Result from UNICOR and CoLa in Mapping Ecological Connectivity Networks in Mesoamerican Cloud Forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15450, https://doi.org/10.5194/egusphere-egu26-15450, 2026.

EGU26-15609 | Posters on site | SSS9.6

Long-term ecohydrological response of wetlands in managed catchments to climate variability 

Jose Rodriguez, Rebecca Carlier, George Kuczera, Patricia Saco, Steven Sandi, and Juan Quijano Baron

Predicting the response of wetlands in regulated catchments is challenging because their natural flow regime has been replaced by managed flows that depend on environmental allocations, as well as urban and agricultural demands. Many of such wetlands in semi-arid Australia have been significantly impacted by the combination of increased human demands and climate conditions characterized by pronounced inter- and intra-annual variability. For instance, the Macquarie Marshes in New South Wales have seen reductions in flow magnitude and variability due to human activities, leading to a 40–50% decrease in wetland area despite the provision of environmental flow allocations. Predicting ecological responses under altered flow regimes and variable climate remains a complex undertaking, as historical records, while informative, capture only a limited range of climate variability.

 

We employ stochastic climate data to investigate the long-term response of the Macquarie Marshes to climate variability. Two contrasting scenarios are assessed: one representing natural conditions (best-case) and another reflecting current managed conditions with complete removal of environmental flow allocations (worst-case). These scenarios are simulated using a catchment model of the Macquarie Valley (developed with WATHNET5) coupled with an ecological response model of the marshes, which predicts vegetation health (woody and non-woody) and bird breeding suitability (Ibis and Egret species). Each scenario is run across 100 replicates of 110-year sequences of stochastically generated climate data derived from historical records.

 

Compared to the best-case scenario, the worst-case scenario leads to an average 30% reduction in non-woody vegetation cover, with extended periods of severely diminished coverage. Woodland and river red gum forests experience a 30% decrease in the time they remain in good condition, coupled with up to a 10% increase in time spent in poor condition. These vegetation changes significantly impact bird breeding opportunities, reducing the number of favourable events by approximately 50%.

How to cite: Rodriguez, J., Carlier, R., Kuczera, G., Saco, P., Sandi, S., and Quijano Baron, J.: Long-term ecohydrological response of wetlands in managed catchments to climate variability, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15609, https://doi.org/10.5194/egusphere-egu26-15609, 2026.

EGU26-17879 | ECS | Posters on site | SSS9.6

Field assessments of biotic and abiotic driving legume soil fatigue in pea (Pisum sativum L.) under Mediterranean conditions 

Daniele Borgatti, Giacomo Ferretti, Emanuele Radicetti, Thorsten Ruf, Adnan Šišić, and Mortadha Ben Hassine

Grain legumes play a strategic role in European agriculture by providing plant-based protein for human consumption and animal feed, while enhancing agroecosystem sustainability through biological nitrogen fixation and reduced dependence on mineral nitrogen fertilizers. However, an excessive frequency of grain legumes within crop rotations can lead to the onset of soil-borne constraints commonly referred to as “legume soil fatigue”. This complex phenomenon is thought to arise from the interaction of biotic stresses, such as soil-borne pathogens and pests, and abiotic stresses, including soil compaction, waterlogging, and heat stress, yet its underlying mechanisms remain poorly understood.

During the 2025 growing season, field investigations were conducted in 12 pea (Pisum sativum L.) fields across northern Italy to assess the occurrence of legume soil fatigue and to identify the underlying drivers associated with this phenomenon. The sites were characterized by predominantly loam soils. Field assessments were performed at crop emergence, flowering and harvest, and included measurements on pea plants (e.g. sowing depth, plant height, plant density, and root health), as well as soil properties (e.g. soil compaction, visual soil structure, and chemical analyses). Agronomic management practices were documented and a 10-year cropping history was reconstructed through farmer interviews to quantify the frequency of legumes, cereals, and other crops within rotation.

Preliminary analyses revealed that pea root damage was positively correlated with legume cultivation frequency (R² = 0.47, p < 0.001) and with the abundance of inactive rhizobia (R² = 0.61, p < 0.001), suggesting that frequent legume inclusion in crop rotations promotes root diseases and reduce nitrogen fixation efficiency. Conversely, a higher abundance of active rhizobia was associated with improved soil structure (R² = 0.61, p < 0.001). Among abiotic factors, soil compaction showed positive relationships with silt (R² = 0.64, p < 0.001) and sand content (R² = 0.53, p < 0.001), likely reflecting surface crust formation in loam soils, which can contrast seedling emergence and early root development.

Overall, these findings indicate that legume soil fatigue in pea cropping systems emerges from the combined effects of crop rotation intensity and soil physical constrains, with direct implications for root health and symbiotic nitrogen fixation. Ongoing work will integrate multi-country datasets and long-term field experiments to identify and characterize abiotic drivers (soil factors), biotic drivers (bacterial, fungal, nematode, and protist communities) and farm history factors associated with legume soil fatigue, thereby providing practical management guidelines for the sustainable expansion of legume-based cropping systems across Europe.

How to cite: Borgatti, D., Ferretti, G., Radicetti, E., Ruf, T., Šišić, A., and Ben Hassine, M.: Field assessments of biotic and abiotic driving legume soil fatigue in pea (Pisum sativum L.) under Mediterranean conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17879, https://doi.org/10.5194/egusphere-egu26-17879, 2026.

EGU26-19916 | Posters on site | SSS9.6

Three-dimensional soil salinity mapping for vineyard management in coastal areas of South of France 

Armand Crabit, Rossano Ciampalini, Victor Lorenzini, Elouen Cohan, and François Colin

The aim of this study was to establish a database including mapping of the state of soil degradation due to salinity in a vineyard-growing area of southern France (Domaine de Villeroy, Hérault) and to understand the processes that cause it.
The methods are based on direct measurements of soil salinity through sampling and indirect measurements using geophysics (EM38-MK2), measurements of surface and groundwater salinity in order to determine the geochemical signature of the various salinity poles (sea, ponds, canals, surface aquifers), and estimates of aquifer levels (piezometric surveys).
The data collected enabled the creation of transects and maps at different depths of the hydro-saline conditions across the entire area between May and July 2024. The mapping was carried out by combining a model based on machine learning methods (Boosting Regression Trees - BRT) of the variables considered and spatialisation with Kriging for the depths 0-20, 20-40, 40-60, 60-80, 80-100, and 100-120 cm. A corresponding estimate of the impact of salinity on the current vegetative development of the vine was made on the basis of aerial images and direct observations of plant vigour and plant mortality.

How to cite: Crabit, A., Ciampalini, R., Lorenzini, V., Cohan, E., and Colin, F.: Three-dimensional soil salinity mapping for vineyard management in coastal areas of South of France, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19916, https://doi.org/10.5194/egusphere-egu26-19916, 2026.

EGU26-20746 | Orals | SSS9.6

Ash-affected yet resilient: soil degradation and recovery in banana agroecosystems after the 2021 Tajogaite eruption 

Mónica González-González, Marta Selma Garzón-Molina, and María del Carmen Jaizme-Vega

Soil degradation in semi-arid island agriculture is driven by the combined pressures of land scarcity, intensive management and increasing climate variability. In volcanic environments, explosive eruptions add a further layer of disturbance, through abrupt ash deposition that can alter soil salinity, structure and organic matter dynamics. The 2021 Tajogaite eruption (La Palma, Canary Islands, Spain) covered large areas of irrigated banana (Musa spp.) plantations with centimetre-thick ash layers, raising concerns about long-term soil degradation, loss of productivity and the sustainability of these agroecosystems. Yet, medium-term trajectories of soil degradation and recovery after such events remain poorly documented.
We evaluated soil health trajectories in banana plantations affected by Tajogaite ash, comparing conditions 6 and 32 months after the onset of the eruption. Topsoil (0–20 cm) was sampled in eight commercial farms located along the eastern (n = 5) and western (n = 3) flanks of the new cone, spanning altitudinal and distance-to-sea gradients. At each farm (1–3 composite samples per site and date) we measured pH, electrical conductivity (EC, 1:5), oxidizable organic carbon, total nitrogen, loss on ignition, available P, exchangeable cations (Ca, Mg, K, Na and selected micronutrients), texture, water-stable aggregates (WSA), water holding capacity (WHC), basal and glucose-induced respiration, and the microbial metabolic quotient (qCO₂). Site-specific rainfall and ash-layer thickness were compiled, and texture- plus organic-matter-based pedotransfer functions were used to obtain first-order estimates of field capacity and permanent wilting point, for comparative purposes only.
Preliminary results reveal heterogeneous but generally resilient soil responses to ash deposition. In heavily ash-loaded western farms, EC and exchangeable Na declined from initially moderate–high values to clearly lower levels 32 months after the eruption, indicating a partial alleviation of salinisation risk. In eastern farms, EC remained within a moderate range, sometimes increasing slightly in line with resumed fertilisation, but without evidence of secondary salinisation. Across most sites, soil organic matter and total N were maintained or slightly increased, while WSA and WHC were stable or improved, suggesting a consolidation of soil structure as ash was progressively incorporated into the plough layer. Basal and induced respiration and qCO₂ values at both sampling times indicate active and reasonably efficient microbial communities, with no signs of persistent biological degradation.
Overall, banana plantation soils on La Palma show substantial functional resilience to volcanic ash inputs when supported by irrigation and ongoing management. However, differences between flanks and altitudinal zones point to uneven recovery and highlight specific hotspots of degradation risk. These findings underline the need to integrate hydrological, structural and biological indicators into post-eruption soil monitoring, and provide an empirical basis for designing targeted soil and water management practices that enhance soil conservation and resilience in volcanic island agroecosystems under global change.

How to cite: González-González, M., Garzón-Molina, M. S., and Jaizme-Vega, M. C.: Ash-affected yet resilient: soil degradation and recovery in banana agroecosystems after the 2021 Tajogaite eruption, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20746, https://doi.org/10.5194/egusphere-egu26-20746, 2026.

The MONALISA project (MONitoring and Assessing prevention and restoration soLutIons to combat deSertificAtion), is an Innovation Action Horizon project aimed at preventing and reversing Land Degradation and Desertification (LDD) across Mediterranean drylands. The project will address the complex issue of land degradation and desertification (LDD) in Mediterranean drylands, which are under increasing climatic pressure and have limited adaptive capacity.

The main objectives are to identify and promote innovative, tailored solutions to combat LDD in European and Mediterranean drylands and to provide a methodological framework to assess and monitor LDD risk while enhancing soil productivity across diverse land uses, including agriculture and agroforestry. To achieve these goals MONALISA will integrates scientific knowledge, local practices, advanced digital systems, artificial intelligence and remote sensing technologies. The project will address the “last mile” challenge by fostering collaboration between researchers, policy-makers, and land managers to ensure the adoption and scalability of these solutions.

The project results will range from methodological frameworks and tools to practical solutions implemented in case study areas. MONALISA will facilitate the development of new indicators, management scenarios, and technological innovations such as artificial intelligence algorithms and decision support systems (DSS). It will also create extensive capacity-building initiatives, engaging stakeholders, scientists, and land managers while advancing policy recommendations and commercial exploitation strategies.

The results will facilitate the understanding of drivers and impacts of various types of LDD in arid areas, their extent and localization. and this knowledge will be shared among key stakeholders. Additionally, the project will demonstrate the economic viability and environmental effectiveness of solutions for desertification prevention and land restoration, including soil protection, water retention, biodiversity preservation, and increased land resilience to drought.

How to cite: Seddaiu, G. and Assennato, F.: MONALISA project: understanding land degradation drivers and impacts to provide effective solutions to combat desertification, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21204, https://doi.org/10.5194/egusphere-egu26-21204, 2026.

EGU26-21339 | Posters on site | SSS9.6

Land Degradation Neutrality Assessment at Higher Tiers 

Adriana Bruggeman, Egli Michailidou, Christina Makri, Christos Zoumides, and Andreas Savvides

Land degradation and desertification, the reduction or loss of the land’s biological or economic productivity, accelerated during the 20th century. This can be related to population growth, mechanisation of agriculture and forest management, increasing livestock numbers, the suboptimal design and implementation of land management policies, and climate change. The United Nations’ Sustainable Development Goal (SDG) Indicator 15.3.1 (Proportion of land that is degraded over total land area) aims to halt this degradation by balancing losses (declines in land-based natural capital) and gains (increases in land-based natural capital) across land use types. The Good Practice Guidance of SDG 15.3.1 and its 2025 Addendum, which supports the national-level  reporting of the indicator, are developed with a global perspective. The reporting analysis starts in the year 2000, in consideration of  the resolution and availability of Earth Observation data. Thus, important desertification processes are already missed. However, assessments can be undertaken at different levels of accuracy, detail and complexity, increasing from Tier 1 (broad methods with default values) to Tier 2 (additional use of country-specific data) to Tier 3 methods (more complex methods involving ground  measurements and modelling). Here we will present an example of a desertification assessment for marginal, rainfed croplands in Cyprus, under 250-350 mm average annual rain, with the use of Sentinel-2 data. The methodology is inspired by the SDG 15.3.1 productivity sub-indicator and uses an innovative approach to address the time frame limitations of  desertification assessments.

This research is financially supported by the TERRASAFE project, which is co-funded by the European Union (GA 10115737) and by UK Research and Innovation.

How to cite: Bruggeman, A., Michailidou, E., Makri, C., Zoumides, C., and Savvides, A.: Land Degradation Neutrality Assessment at Higher Tiers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21339, https://doi.org/10.5194/egusphere-egu26-21339, 2026.

River deltas are among the world’s most complex and vulnerable socio-ecological systems, where interacting climatic, hydrological, and institutional stressors generate cascading environmental and livelihood impacts. Freshwater salinization is an increasingly important but understudied driver of change in these systems, particularly because it directly degrades water quality and agricultural productivity while leaving most non-agricultural activities physically unaffected. This paper examines how rising salinity reshapes livelihoods, labor allocation, and adaptation pathways in Viet Nam’s Mekong Delta—one of the world’s most intensively cultivated and densely populated deltas.
 
We combine longitudinal household panel data (2010–2018) with high-resolution, hydrodynamically calibrated salinity simulations that capture the spatial and temporal complexity of salt intrusion across river and canal networks. This integration allows us to isolate salinity as a largely sector-specific environmental shock and to trace its socioeconomic consequences at fine spatial scales. We document substantial declines in rice yields, winter–spring cultivation, and aquaculture output in response to rising salinity. Despite these production losses, total household income remains relatively stable due to local, in-situ adjustments rather than migration.
 
Adaptation occurs primarily through labor reallocation within the delta economy and exhibits strong gender asymmetries. In moderately affected areas, men shift into local manufacturing and wage work, while women reduce migration and remain engaged in agriculture. In highly saline regions, women become increasingly concentrated in low-return agricultural activities as aquaculture declines, reinforcing agricultural lock-in. These short-run responses sustain livelihoods but slow longer-run structural transformation and may entrench gendered vulnerability.
 
By linking delta hydrodynamics to household behavior, this study highlights how biophysical processes, institutional constraints, and labor markets jointly shape adaptation pathways in low-lying coastal systems. The findings underscore the need for adaptation strategies that integrate water governance, labor markets, and gender dynamics in delta regions facing intensifying salinity intrusion.

How to cite: Sharma, V. and Eslami, S.: Salinity, Structural Transformation, and the Gendered Reallocation of Labor in Viet Nam, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21780, https://doi.org/10.5194/egusphere-egu26-21780, 2026.

EGU26-23236 | ECS | Posters on site | SSS9.6

A multidisciplinary study of salt-affected soil in the coastal areas of Southeastern Sardinia (Italy) 

Maria Concetta Lecca, Dario Fancello, and Anna Andreetta

Saline soils represent one of the major constraints to agricultural productivity in Mediterranean coastal alluvial plains, with significant implications for the introduction of high-value crops such as avocado (Persea americana). The coastal alluvial plain of the Flumendosa River (southeastern Sardinia) is a heterogeneous environment where depositional dynamics, marine intrusion, and water management strongly influence the distribution of soil salinity and related pedological properties. This study presents an integrated approach to characterising salt-affected soils combining pedological surveys, field investigations, laboratory analyses, and remote sensing techniques. Measurements of key salinity parameters, particle size distribution and mineralogical investigations, with particular focus on clay components through X-ray diffraction (XRD), aimed to identify mineral assemblages responsible for salt retention and sodicisation. Mineralogy analysis was coupled with Scanning Electron Microscopy (SEM) to investigate the micromorphology and formation processes of carbonate concretions. In parallel, processing of multispectral satellite data allowed the derivation of salinity-related indicators and the spatial mapping of soil salinity variability.
The integration of these complementary datasets enabled the development of a functional soil zonation for the Flumendosa plain, providing insights into their suitability for avocado cultivation and supporting the identification of appropriate management and mitigation strategies. The results highlight the effectiveness of a multidisciplinary approach in guiding sustainable agronomic decisions in salt-affected coastal areas.

How to cite: Lecca, M. C., Fancello, D., and Andreetta, A.: A multidisciplinary study of salt-affected soil in the coastal areas of Southeastern Sardinia (Italy), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23236, https://doi.org/10.5194/egusphere-egu26-23236, 2026.

In March 2023, a record area of 418 hectares was burnt in forest fires across the Goan region of the Central Western Ghats(CWG). We investigated the causes of this sudden forest fire using live meteorological and phenological datasets collected before, during, and after the incident from our PhenoMet tower located in the Netravali Wildlife Sanctuary (WLS) in the CWG. The farmers of forest fringes used conduct controlled burning on their farm, which sometimes results in minor forest fires. In 2023, this activity gone out of control and led to unprecedented forest fires. The State forest department reports that the fire occurred between 4th to 15thMarch 2023. A review of literature suggests that the fire weather conditions are generally associated with prevalence of > 280c mean daily temperatures, <40% daily mean humidity, and, > 380c maximum daily temperature, and > 250c daily minimum temperature. We found that the onset of the forest fire on March 4 marked with a maximum temperature exceeding 37°C, a mean daily temperature above 28 °C, and a daily average humidity of 27%, with a minimum of 13%. The fire weather conditions initiated on February 22 and persisted until March 15, lasting for 22 days. While the onset of the forest fire was associated with low humidity values along with other weather parameters, the dousing of fires was associated with a notable increase in humidity values. We noted a perceptible change in the weather parameters close to March 15 with the Daily Average Humidity values rising from below 63% to close to 82% in 24 hours. While the Max Humidity showed only a slight increase from 96% to 98%, the Minimum Humidity values rose from 25% to 38%. Also, advancing the End of Season and shortening growing seasons in The Tropical Semi Evergreen Forest increased fire susceptibility. This study provides insight into the weather parameters that escalate forest fires.It will contribute to improving forest fire management and reducing the impact of future fire events especially in rich biodiversity areas such as the tropical evergreen and the semi-evergreen forest of Western Ghats

How to cite: vs, N. and chaturvedi, R. K.: Anthropogenic Ignition and Fire Weather Extremes: An Assessment of Meteorological Extremes Preceding the 2023 Central Western Ghats Forest  Fire., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1373, https://doi.org/10.5194/egusphere-egu26-1373, 2026.

EGU26-1790 | ECS | Posters on site | SSS9.9

Tracing fuels for fire through time: from Indigenous cultural burning to colonial land management in Australia 

Michela Mariani, Alastair Wills, Simon Connor, Haidee Cadd, Matthew Adeleye, Janelle Stevenson, Annika Herbert, Anna Florin, Scott Mooney, Michael-Shawn Fletcher, David Bowman, Martin Theuerkauf, Peter Kershaw, and Simon Haberle

Fire has long been a central Earth system process in Australia, yet the influence of human land management on fire regimes over millennial timescales remains to be fully explored. In southeastern Australia, Indigenous cultural burning sustained fine-grained vegetation mosaics, reduced fuel continuity, and buffered ecosystems against extreme fire events for thousands of years. This study integrates palaeoecological and archaeological evidence to evaluate how the disruption of these practices following colonial settlement reshaped fire-vegetation-climate interactions and amplified fire risk.

Using pollen-based land-cover reconstructions, sedimentary charcoal, archaeological demographic models, we reconstruct spatiotemporal patterns of fire activity through deep time, from 125,000 years ago to the post-colonial period. Our analyses reveal that fuel connectivity reached their lowest levels during the Mid to Late Holocene (ca. 6,000 years cal BP), coinciding with intensification of cultural burning. These stable low-fuel mosaics contrast sharply with the rapid fuel build-up that followed colonial suppression of Indigenous burning in the past two centuries.

We further demonstrate that the transition to post-colonial land management, characterised by fire exclusion, pastoral expansion, and vegetation thickening, created conditions that now interact with anthropogenic climate change to elevate the probability and severity of extreme fire events.

By providing long-term baselines for fire regimes, fuel structures, and human–environment feedbacks, our findings highlight how the loss of Indigenous fire stewardship has fundamentally altered fire risk in southeastern Australia. This historical perspective offers crucial insights for contemporary fire mitigation strategies and the re-establishment of resilient, culturally informed land management under a rapidly warming climate. These insights also resonate with fire-prone regions worldwide where the interruption of Indigenous cultural burning has similarly reshaped fuel dynamics and wildfire behaviour, underscoring the global value of revitalising Indigenous fire stewardship.

How to cite: Mariani, M., Wills, A., Connor, S., Cadd, H., Adeleye, M., Stevenson, J., Herbert, A., Florin, A., Mooney, S., Fletcher, M.-S., Bowman, D., Theuerkauf, M., Kershaw, P., and Haberle, S.: Tracing fuels for fire through time: from Indigenous cultural burning to colonial land management in Australia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1790, https://doi.org/10.5194/egusphere-egu26-1790, 2026.

EGU26-6449 | ECS | Posters on site | SSS9.9

A 50-year Record of Soil Erosion Dynamics: Pre- and Post-Wildfire Observations from Sediment Coring Methods in Contrasting Ecosystems (Var, Southern France) 

Romain Ducruet, Anthony Foucher, Pierre-Alexis Chaboche, and Olivier Evrard

In the context of increasingly frequent and intense wildfires, it is crucial to assess their long-term environmental consequences. While their short-term impacts on soil loss and sediment transport are well documented, their effects on erosion dynamics over broader spatial (e.g., watershed) and temporal (e.g., ≥20 years) scales have not been extensively studied. Most studies are restricted to short post-fire periods (i.e., on timescales comprised from a couple months to a decade), which limits our ability to evaluate the resilience, regeneration, and delayed responses of affected ecosystems.

To understand how ecosystems respond, adapt or degrade after wildfire events, it is essential to capture these dynamics over decadal timescales, both before and after such disturbances. In this context, sedimentary archives represent a powerful although underutilized tool for reconstructing past erosion processes and assessing the long-term (e.g., 20 years) resilience of ecosystems affected by wildfires.

This study focuses on the Peguières area, a complex of three small watersheds (13.5ha, 18ha and 39.8ha) located within the Esterel Massif in the French Mediterranean. These watersheds drain into three small artificial reservoirs, constructed in 1977, offering a unique opportunity to analyze sediment archives from three replicated, ecologically similar watersheds affected by major wildfires in 1987 and 2003. Given the minimal human impact in this Natura 2000 protected area, the recorded sediment signals are expected to be primarily influenced by wildfires, providing a robust means of reconstructing long-term erosion dynamics in Mediterranean fire-prone environments. The deployed analytical methodology, combining radionuclide analyses and clustering of geochemical parameters (Mn, Zr, Rb, Ca, Ti, etc.) with density data, provides a robust and reproducible framework for identifying distinct erosion phases before/during and after the wildfire within each core.

The Peguières site, as it comprises three micro-watersheds disturbed by wildfire, offers a unique opportunity to provide comparisons at the watershed scale. Preliminary findings from one of the watersheds, which burned completely during the 2003 wildfire, revealed that despite a general decline in erosion rates over time, erosion remained 31.15% higher in the recent period compared to pre-fire levels. These results challenge the assumption of full ecosystem resilience achievement within a decade after such a disturbance. These preliminary results demonstrate the value of sedimentary archives in assessing long-term impacts of wildfires. They can also inform the management of fire-prone landscapes and support the development of effective environmental protection strategies to mitigate soil and water resource degradation that may be caused by wildfires.

How to cite: Ducruet, R., Foucher, A., Chaboche, P.-A., and Evrard, O.: A 50-year Record of Soil Erosion Dynamics: Pre- and Post-Wildfire Observations from Sediment Coring Methods in Contrasting Ecosystems (Var, Southern France), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6449, https://doi.org/10.5194/egusphere-egu26-6449, 2026.

EGU26-6737 | ECS | Posters on site | SSS9.9

Airborne Infrared Remote Sensing for Characterizing Wildfire Behaviour in Prescribed Fire 

Salini Manoj Santhi, Thijs Stockmans, Paula Olivera Prieto, Christopher C. Giesige, Eric Goldbeck Dimon, Andrew Klofas, Craig B. Clements, and Mario Miguel Valero

Increasing wildfire impacts highlight the importance of studying wildfire behaviour and effects to develop effective management and mitigation strategies. Prescribed fire has demonstrated to be a powerful tool for land and fire risk management. However, optimizing its use requires detailed knowledge of the complex relationships between fire, vegetation, and atmospheric dynamics. In this work, we demonstrate how airborne remote sensing facilitates the analysis of fire behaviour and its effects on vegetation. We will present airborne long-wave and mid-wave infrared imagery  collected  over a prescribed fire during the Fort Stewart Integrated Research Campaign in 2024. 

The data consists of seven video sequences with a total duration of one hour and fifty-four minutes. The collected imagery was pre-processed and georeferenced by integrating inertial measurement unit data, then further stabilized using feature matching techniques to mitigate helicopter-induced jitter. This dataset will be utilized to investigate the relationship between essential fire behaviour metrics, such as  fire rate of spread and fire radiative power, and vegetative conditions before, during, and after combustion, thereby providing insight into fuel consumption and fire impacts. This analysis will be useful to validate fire behaviour models and improve the capacity to forecast fire behaviour during prescribed fires, which is bound to have a significant impact on wildfire management in the future.

Acknowledgements: This work was supported by the U.S. National Science Foundation under award number 2053619, the USDA Forest Service Fire and Smoke Model Evaluation Experiment (FASMEE), the US Strategic Environmental Research and Development Program (SERDP) under project RC20-1364, and the EU COST Action NERO (CA22164).

How to cite: Manoj Santhi, S., Stockmans, T., Olivera Prieto, P., Giesige, C. C., Goldbeck Dimon, E., Klofas, A., Clements, C. B., and Valero, M. M.: Airborne Infrared Remote Sensing for Characterizing Wildfire Behaviour in Prescribed Fire, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6737, https://doi.org/10.5194/egusphere-egu26-6737, 2026.

EGU26-7236 | Posters on site | SSS9.9

Post-fire nickel mobility in acid sulfate soils developed in ultramafic wetlands of New Caledonia 

Cécile Quantin, Gaël Thery, Damien Calmels, Julie Jeanpert, Guillaume Morin, Emmanuelle Montargès-Pelletier, Elora Bourbon, Maurice Kessié, Isabelle Kieffer, Pierre Genthon, and Farid Juillot

Fire is increasingly recognized as a significant driver of trace metal mobility, posing risks to water quality, especially in metal-rich environments such as ultramafic wetlands. In such environments, wildfires can trigger the formation of Acid Sulfate Soils (ASS), further amplifying metal release [1]. This study investigates the geochemical processes controlling nickel (Ni) dynamics in such contexts, focusing on a burned doline and its downstream drinking water catchment on Île des Pins, New Caledonia.

Water chemistry analysis and advanced imaging techniques (SEM, TEM, XAS) reveal extreme post-fire dissolved Ni concentrations (up to 368,000 µg/L in the doline and 4,300 µg/L downstream), and transformation of the studied Gleysols into ASS. Those observations are interpreted as resulting from a multi-step reaction sequence: (1) oxidation of Ni-bearing pyrite and millerite due to increased oxygen diffusion, (2) acidification from sulfide oxidation, and (3) acidic dissolution of Ni-bearing chrysotile. This cascade scenario leads to the release of nickel, magnesium, and sulfate, which then precipitate as Ni-hexahydrite [(NixMg1-x)SO4.6H2O)] upon water evaporation.

Ni-hexahydrite, which is a highly soluble compound, accounts for 40–50% of the solid nickel in surface soils and drives the nickel dynamics at the soil-water interface and at catchment scale through repeated precipitation/dissolution cycles. These findings show that wildfires in ultramafic wetlands can severely mobilize trace metals via ASS formation, with metal-sulfates playing a crucial role in post-fire geochemical cycling.

 

[1] Thery G., Quantin C., Calmels D., Jeanpert J., Morin G., Montargès-Pelletier E., Bourbon E., Kessie M., Kieffer I., Genthon P., Juillot F., 2025. Nickel dynamics in acid sulfate soils formed after wildfires across ultramafic wetlands of New Caledonia: the key role of Ni-hexahydrite. Journal Soils and Sediments, doi.org/10.1007/s11368-025-04190-9

How to cite: Quantin, C., Thery, G., Calmels, D., Jeanpert, J., Morin, G., Montargès-Pelletier, E., Bourbon, E., Kessié, M., Kieffer, I., Genthon, P., and Juillot, F.: Post-fire nickel mobility in acid sulfate soils developed in ultramafic wetlands of New Caledonia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7236, https://doi.org/10.5194/egusphere-egu26-7236, 2026.

EGU26-13074 | ECS | Posters on site | SSS9.9

Assessing Post-Fire Rock Weathering and Slope Instabilities in Fire-Prone Landscapes: Spanish Case Studies  

Pablo Miranda, Mauro Rossi, Giuseppe Esposito, Fco. Javier Fernández-Naranjo, Javier Martínez-Martínez, Mónica Martínez-Corbella, Inmaculada García-Moreno, Costantino Pala, Lisa Ahlers, and Roberto Sarro

Wildfires constitute one of the main agents of change in fire-prone landscapes. Beyond the immediate loss of vegetation and biodiversity, as well as the well-documented impacts on air and water quality, burned watersheds and hillslopes may trigger cascading geo-hydrological hazards in the weeks to years following a fire. Moreover, climate change is increasing the extent and intensity of wildfires, extending their impacts to territories with diverse geological and geomorphological characteristics, including high-altitude ecosystems with a greater extent of exposed rocky areas.

Despite extensive research on fire effects on vegetation and soils, knowledge gaps remain regarding the impact of wildfires on exposed rock outcrops and boulders directly affected by flames. In particular, little is known about how fire-induced thermal stress and accelerated rock weathering influence post-fire geo-hydrological processes. Much of the current understanding is based on qualitative observations rather than quantitative measurements, highlighting the need for systematic field-based studies to assess the effects of fire on rock materials.

This study presents field-based data collection and analysis from two case studies conducted over different post-fire periods. The first examines a short-term post-fire scenario following the 2025 Yeres wildfire affecting the Las Médulas Cultural Heritage Site (León, Spain), focusing on the assessment, sampling, and quantification of fire effects on rock materials using a hybrid methodological approach that integrates ecological sampling with non-destructive techniques (NDTs). The second case addresses mid-term fire effects after the 2023 Arafo wildfire (Tenerife, Spain) through a comprehensive inventory of slope instabilities and erosion processes triggered by the fire. Together, these complementary case studies provide an integrated framework for understanding both the direct and indirect impacts of wildfire processes operating at different temporal scales.

This work was developed within the framework of the CSIC Scientific Technical Advisory Group for Emergency Crises (GADE CSIC, Spain) and the project DINCAN (ref. 20125), funded under the 2024 Call for the Promotion of Scientific, Technological, and Innovation Culture (I+P) by the Spanish Foundation for Science and Technology (FECYT).

How to cite: Miranda, P., Rossi, M., Esposito, G., Fernández-Naranjo, Fco. J., Martínez-Martínez, J., Martínez-Corbella, M., García-Moreno, I., Pala, C., Ahlers, L., and Sarro, R.: Assessing Post-Fire Rock Weathering and Slope Instabilities in Fire-Prone Landscapes: Spanish Case Studies , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13074, https://doi.org/10.5194/egusphere-egu26-13074, 2026.

EGU26-14307 | ECS | Posters on site | SSS9.9

Fire-induced changes in soil hydromechanical properties and implications for shallow landslide triggering in southeastern Brazil 

Letícia Bolsas, Ana Luiza Coelho Netto, Vittoria Capobianco, and Luca Piciullo

Fire plays a significant role at the vegetation-soil-water interface, and its effects on soil properties and hydro-erosion dynamics have been widely investigated. However, fire effects on soil hydromechanical behavior and their relationship with increased susceptibility to shallow landslides remain poorly understood, particularly in tropical environments. In the mountainous region of Rio de Janeiro, Brazil, in the Nova Friburgo municipality, where an average of 316 fires occur per year, paleoenvironmental evidence indicates that shallow landslides preceded by wildfires occurred during the Holocene. To investigate fire-induced changes in soil hydromechanical properties, a field experiment applying controlled fire was conducted in 100 m² plots at the edge of a secondary Atlantic rainforest (RF) (October 2024) and in a homogenous grassland (GL) under antecedent grazing (September 2025). Flame temperature and soil temperatures were recorded at the surface, 5, and 10 cm depths. Adjacent unburned control plots were also established. Burned and unburned plots were outfitted with soil moisture sensors and soil suction sensors at different depths from surface to 150 cm. At burned RF, a tensiometer and additional suction sensors were also installed to improve measurement accuracy. In situ measurements of saturated hydraulic conductivity (Ksat) and soil water repellency were conducted at different instrumented depths. Laboratory analyses of texture, bulk density, Ksat, and soil water retention curves (SWRC) were conducted. To study the temporal changes of hydromechanical soil properties post-fire, measurements were investigated before burning and at successive post-fire intervals of 1 week, for selected parameters, 1 month, 6 months, and 1 year. Results from the flame temperature measurements during the experiment showed a non-uniform spatial distribution over time at both plots. While at RF burning experiment lasted for 2 hours with active flames, at GL the flames propagation lasted less than 10 minutes. Maximum soil temperatures at RF reached 361.5°C at the surface and 334.7°C at 5 cm depth, while at GL, surface temperature increased by approximately 50°C. At RF, in situ Ksat at 20 cm depth increased from 6.44 × 10-5 m s-1 before the fire to 1.51 × 10-4 m s-1 one week after burning, followed by a slow decrease over six months and one year, while no significant changes at greater depths (up to 150 cm) over the investigated time interval, or at any depth at GL were observed. Severe soil water repellency was detected at RF before burning, up to 10 cm depth, and progressively declined after fire, disappearing after six months, whereas no repellency was observed at GL. SWRC from both in situ and laboratory measurements indicated a reduction in volumetric water content at the saturation stage in the upper 20 cm at RF, with no changes at greater depths up to 150 cm and at all depths at GL. These findings will be used to improve the modelling of the post-fire hydromechanical soil behavior by integrating the in situ monitoring data and laboratory measurements, thereby enhancing the calibration of physically based models for shallow landslide susceptibility assessment.

How to cite: Bolsas, L., Coelho Netto, A. L., Capobianco, V., and Piciullo, L.: Fire-induced changes in soil hydromechanical properties and implications for shallow landslide triggering in southeastern Brazil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14307, https://doi.org/10.5194/egusphere-egu26-14307, 2026.

EGU26-18479 | ECS | Posters on site | SSS9.9

Evaluating post-fire surface mulch treatments: Assessing hillslope stability and mobilisation potential relative to debris-flow mitigation effects 

Molly Harrison, Felix Smalley, Thomas Keeble, Christopher Lyell, Patrick Lane, and Gary Sheridan

Surface wood shred treatments are used widely for post-fire erosion mitigation, and recent modelling has shown they are highly effective for debris flow mitigation; however, little attention has been given to their potential mobilisation and displacement under high-intensity rainfall events. Such movement could reduce treatment effectiveness, contaminate downstream water bodies, or contribute additional material to debris flows, should they initiate. Despite this recognised risk, significant knowledge gaps limit our ability to evaluate when and where treatment mobilisation may occur, and consequently, whether alternative post-fire treatments may be more suitable under some conditions.  

The three key knowledge gaps that this study sought to address were: a) the stream power required to mobilise wood shred on hillslopes has not yet been quantified; b) there is no established method to determine the topographic and rainfall conditions under which sufficient stream power may be generated to mobilise wood shred in treated landscapes; and c) it is not yet possible to evaluate how the likelihood of shred mobilisation compares to the reduced likelihood of debris flow initiation resulting from treatment.  

We addressed these knowledge gaps through a combination of field experiments and catchment-scale modelling. Field experiments were used to parameterise the relationship between hillslope stream power and wood shred displacement under channelised flow. A simple methodology was then developed to apply the stream power-based relationship at a 1 m resolution across a debris flow-prone landscape comprising headwaters with varying morphometric characteristics and under varying rainfall scenarios, to quantify the expected proportion of wood shred treatment mobilised. Finally, we estimated the likelihood of debris flow initiation with and without treatment, and the likelihood of treatment mobilisation, across ~400 zero-order basins with high post-fire hydrogeomorphic sensitivity in Melbourne’s key water supply catchment to evaluate the risk of wood shred mobilisation against the expected benefits of treatment.  

Across the case-study water supply catchment, wood shred treatment is modelled to reduce the maximum likelihood (Annual Exceedance Probability [AEP], %) of debris flow initiation from 72% to 32%. However, we found that up to 40% of wood shred treatment would be mobilised before any treatment effect is realised, suggesting careful consideration of treatment risks and benefits is warranted. Nevertheless, even under a worst-case rainfall scenario (AEP < 0.01%), the mass of wood shred mobilised was 55 times lower than the modelled sediment load from debris flows triggered without treatment. This work provides critical insights for catchment managers evaluating potential post-fire erosion mitigation treatments and highlights the importance of considering the suitability of an area for treatment.  

How to cite: Harrison, M., Smalley, F., Keeble, T., Lyell, C., Lane, P., and Sheridan, G.: Evaluating post-fire surface mulch treatments: Assessing hillslope stability and mobilisation potential relative to debris-flow mitigation effects, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18479, https://doi.org/10.5194/egusphere-egu26-18479, 2026.

EGU26-18671 | Posters on site | SSS9.9

A monitoring system for wildfire risk assessment at Vesuvius National Park (Southern Italy) 

Antonia Longobardi, Domenico Guida, Pasquale Giugliano, Albina Cuomo, Roberta D'Ambrosio, Giacomo Nicoletti, Maria Francesca Palmiero, Michele Pisani, and Antonello Cestari

The large number of risk prediction indices implemented globally and the lack of a universally accepted and widely used general model for predicting fire behaviour highlight the fact that forecasting forest fires remains a complex problem. The fire phenomenon is changing because the forest environment and its interactions with the climate and society have new connotations. The fire season is increasingly longer, and extreme weather events such as heatwaves and droughts are more frequent, increasing water stress on vegetation, making it highly flammable. Fire management should consequently evolve to reflect new environmental scenarios (climate change, expansion of new forests, growth in urban populations and interface areas), implementing forest and land-use planning, including environmental education, decision support systems, and forest management. This observation leads to the awareness of the need to intensify study, analysis, and research activities and initiatives in this area.

In 2017 a large event involved the Vesuvius National Park (Campania, Italy) an area rich in natural resources, historic cradle of volcanology, breathtaking landscapes, crops, and centuries-old traditions. As part of the National Program "Italian Parks for the Climate" - Year 2020 - ", an innovative monitoring system, with the purpose to support a dynamic fire probability mapping and forest fire risk management, has been shared as an operational agreement between academia and stakeholders.

The project uses a combination of integrated, interdisciplinary, and interoperable modules to prepare the actions and interventions needed to prevent and reduce the risk of forest fires and the resulting hydrogeological risks (soil erosion, shallow landslides, and hyperconcentrated flows), enabling alerts and support the natural reserve operators. A "REMOTE" module, based on the analysis of small-scale space-time Sentinel data for land cover and soil moisture assessment is supported by a “TERRA” module, based on the installation, validation, expert control and interactive communication of an intelligent monitoring system for water, soil and meteorological station data, aimed at early warning of forest fires, complemented by the use of an object-oriented and environmentally focused data analysis of Tri-Stereo Neo imagery from the Pléiades imagery constellation (European Space Agency).

The monitoring program, launched in 2023 and still ongoing, has provided valuable data useful for the temporal dynamics of hydrological, climatic, and land cover variables that impact fire risk. Comparisons with fire events from 2023 to 2025 are being evaluated to test the forecasting capabilities that can be derived and put in practice to mitigate the wildfire risk.

How to cite: Longobardi, A., Guida, D., Giugliano, P., Cuomo, A., D'Ambrosio, R., Nicoletti, G., Palmiero, M. F., Pisani, M., and Cestari, A.: A monitoring system for wildfire risk assessment at Vesuvius National Park (Southern Italy), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18671, https://doi.org/10.5194/egusphere-egu26-18671, 2026.

EGU26-21991 | Posters on site | SSS9.9

Fire effects on soil and plant functional traits in Italian Mediterranean woodlands 

Carlo Jacomini, Laura Bertini, Sabina Burrascano, Donatella Cogoni, Giuseppe Fenu, Domenico Gargano, Rosita Marabottini, Maria Cristina Moscatelli, Carlo Ricotta, Marcello Vitale, and Laura Varone

Within a Nationally funded National Interest Research Project (PRIN), named “Community Functional Structure effects on Mediterranean Ecosystem Functions. Assessing the relative role of woody community functional components and their interactions with ecological factors including disturbance” (PRIN CFS-MedEF), a set of indicators has been proposed and tested, to explore the functional pathways linking plant vascular biodiversity, climatic and disturbance factors (i.e., wildfire), and ecosystem functions involved in biogeochemical cycles such as net primary productivity and litter decomposition rate. Seldom were the extremely diverse and structurally complex Mediterranean forests studied. This complexity translates into a non-linear multivariate link between biodiversity, ecological factors and ecosystem functions. The methodological approach consists in testing in pairs of Mediterranean Quercus ilex and Q. suber forests in three regions (Latium, Calabria and Sardinia) the effects of climate, soil factors, and plant community functional structure on net primary productivity and litter decomposition rate. In detail, the functional community structure was calculated by Community Weighted Mean and Functional Diversity indexes. Standard protocols to collect and collate multidisciplinary data are being applied to assess the combined effect of all these variables, and to build the best explanatory model for predictors of the ecosystem functions considered. The novelty of the project consists in carrying out a detailed and simultaneous assessment of aboveground and belowground ecosystem functional dynamics, which was never performed in Italy. The results should contribute to the current scientific debate on the mechanisms through which Mediterranean forests respond to fire disturbance accounting also for environmental conditions providing useful insights for managing these ecosystems in view of the changes in climate and disturbance regime that will affect the Mediterranean regions globally.

How to cite: Jacomini, C., Bertini, L., Burrascano, S., Cogoni, D., Fenu, G., Gargano, D., Marabottini, R., Moscatelli, M. C., Ricotta, C., Vitale, M., and Varone, L.: Fire effects on soil and plant functional traits in Italian Mediterranean woodlands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21991, https://doi.org/10.5194/egusphere-egu26-21991, 2026.

EGU26-3450 | PICO | BG3.12

Economic Insights and a Systematic Framework for Creating Resilient Forests: Transitioning from Reactive to Proactive Restoration in Slovenia 

Gregor Bozic, Andreja Ferreira, Gal Kusar, Anze Martin Pintar, Marijana Minic, and Bostjan Mali

Escalating natural disturbances in Central Europe necessitate restoration strategies that prioritize ecological integrity and adaptive capacity. Over the last decade, Slovenian forests—traditionally managed via close-to-nature silviculture—faced historic damage from a catastrophic 2014 ice storm, followed by extraordinary windthrows (2017, 2018, 2023) and subsequent bark beetle outbreaks. These events have rendered natural regeneration alone insufficient to preserve forest functions within acceptable timeframes.

Analyzing Slovenia Forest Service data (2007–2020), this study evaluates the economics of artificial forest restoration across 14 forest management regions. Based on an extensive data analysis conducted by the author (Bozic et al. 2025), we found that €33.6 million was invested to restore 5,353 ha via planting and 457 ha via sowing. Costs were dominated by planting (53%) and protection against game animals (42%). Crucially, natural disasters shifted management dynamics, with disaster-related restoration (planting) rising from 42% pre-2014 to 76% by 2020.

These findings advocate for a shift from reactive forest restoration toward proactive forest structures based on two pillars. First, we see the synergy between genetic adaptation of seed sources and nursery production as vital for seedling survival in extreme environments. To mitigate economic burdens, we propose: (1) differentiated co-financing for resilient mixtures; (2) increased use of sowing; (3) systematic investments in forest stability; and (4) fiscal incentives for quality containerized seedlings and protection against wildlife.

Second, forest restoration could be operationalized through a systematic five-step framework for future forests, co-developed by the authors (Kovac et al. 2024). By integrating site-specific actions into broader landscape goals, this holistic approach ensures consistent decision-making and equitable promotion of all sustainability components—ecological, social, and economic—by treating stands as building blocks of functional habitats. Adhering to the precautionary principle, the framework integrates: (1) environmental zoning via structured forest planning situation analysis; (2) climate-optimal species selection based on desired future portrayals and specific stand-level goals, such as species mingling; (3) the identification of climate-resilient seed sources and provenances to ensure that seedlings possess the genetic plasticity required for optimal growth and long-term adaptation to specific site conditions over several decades; (4) specialized silvicultural models executed via site-specific planting blueprints; and (5) adaptive monitoring. This path, supported by the author's extensive data analysis (Bozic et al. 2025) and personal field leadership, provides a foundation for a scientifically grounded transition from disaster-related restorations toward resilient, high-value forest ecosystems.

How to cite: Bozic, G., Ferreira, A., Kusar, G., Pintar, A. M., Minic, M., and Mali, B.: Economic Insights and a Systematic Framework for Creating Resilient Forests: Transitioning from Reactive to Proactive Restoration in Slovenia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3450, https://doi.org/10.5194/egusphere-egu26-3450, 2026.

EGU26-3998 | ECS | PICO | BG3.12

Enhancing Sustainability in Mediterranean Agroforestry Systems: A Living Lab ‘Follow-the-Thing’ Assessment of Products and Value Chains 

Ismail Ait lahssaine, Mohammed El Hafyani, Mohammed Hssaisoune, Paride D’Ottavio, Abdelwahed Chaaou, Hamza Ait-Ichou, Elhousna Faouzi, Sokaina Tadoumant, Brahim Meskour, Safae Ijlil, and Lhoussaine Bouchaou

Mediterranean agroforestry represents a diverse set of socio-ecological systems that provide a variety of agri-food products while preserving key ecosystem services, and linking local value chains to international consumers. However, increasing pressures from intensive production practices and environmental change threaten its long-term sustainability. In response, the PRIMA section 2 SHARE (Shared Innovations for Mediterranean Agroforestry Systems) project focuses on the resilience of tree-based agroforestry systems through Living Lab approaches, promoting the co-creation, stakeholder engagement, and collaborative innovation within public-private partnership. This study uses an interdisciplinary approach to assess the present status of agroforestry products and their interactions with consumers across the Mediterranean region. The analysis combines a review of academic literature, policy documents, and project reports with qualitative value-chain assessments conducted in selected living labs, using a “follow-the-thing” method to monitor products from production to consumption. The analysis is based on the first step in the argan-based agro-sylvo-pastoral system of Ait Souab-Ait Mansour, registered under the Globally Important Agricultural Heritage System (GIAHS) Programme and located within the Arganeraie Biosphere Reserve in Souss Massa region of Morocco. This case study is compared with other typical agroforestry systems, including olive groves in Central Italy, tree-trained vineyards in Occitanie (France), the Montado system in southern Portugal, olive groves with livestock grazing in Cyprus and in south-eastern Tunisia. The outcomes of the comparative study highlight challenges and system-specific synergies, as well as consumer preferences that can support the development of more sustainable agroforestry value chains.

Keywords: Agroforestry, Value chains, Ecosystem Services, Mediterranean region, argan system.

How to cite: Ait lahssaine, I., El Hafyani, M., Hssaisoune, M., D’Ottavio, P., Chaaou, A., Ait-Ichou, H., Faouzi, E., Tadoumant, S., Meskour, B., Ijlil, S., and Bouchaou, L.: Enhancing Sustainability in Mediterranean Agroforestry Systems: A Living Lab ‘Follow-the-Thing’ Assessment of Products and Value Chains, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3998, https://doi.org/10.5194/egusphere-egu26-3998, 2026.

We evaluated the long-term development, ecological performance, and carbon dynamics of reclaimed and unreclaimed post-mining forest sites on coal spoil heaps in northwestern Czech Republic. Using historical aerial photographs, field inventories, and repeated surveys spanning 12–90 years, we characterized spontaneous forest succession and compared it with alder-reclaimed sites. Early successional stages on unreclaimed sites were dominated by pioneer species, primarily silver birch (Betula pendula), goat willow (Salix caprea), and aspen (Populus tremula), with Norway spruce (Picea abies) establishing naturally in intermediate stages. A 90-year-old site approached climax forest, hosting 21 woody species dominated by pedunculate oak (Quercus robur) and European beech (Fagus sylvatica).

Tree density and biomass were initially higher on reclaimed sites however in intermediate stages of sucession tree biomas in unreclaimed sites exceed reclaimed ones. Ecosystem measurements using eddy covariance showed that unreclaimed sites functioned as stronger carbon sinks (−256 g C m⁻² yr⁻¹) than alder-reclaimed sites (−166 g C m⁻² yr⁻¹).  Unreclaimed sites supported more favorable conditions for the establishment, growth, and mycorrhizal colonization of climax species namely Oak, beach and spruce, linked to lower soil pH, higher organic matter, and richer soil biota. Repeated surveys revealed sustained natural recruitment and relatively low mortality rates of climax species which ensure succesful establishment despite being several kilometers from seed sources.

Overall, spontaneous succession produced structurally and functionally diverse forests with comparable or superior long-term performance and carbon sequestration relative to conventional reclamation, highlighting the ecological value of unassisted forest recovery while suggesting cautious use of nitrogen-fixing plantations.

How to cite: Frouzova, J. and Frouz, J.: Long term comparison of post mining site restoration with unassisted forest recovery, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6923, https://doi.org/10.5194/egusphere-egu26-6923, 2026.

EGU26-7741 | PICO | BG3.12

Testing NBS and assisted migration to restore a burnt forest in the Dolomites 

Flavio Taccaliti, Francesco Sforza, Tommaso Baggio, Francesco Atzeni, Davide Marangon, and Emanuele Lingua

Post-disturbance active forest restoration is common in Europe, but climate change, new socioeconomic conditions, and scientific knowledge acquired in the last years are highlighting the inefficiencies of some business-as-usual practices. Especially after forest fires, the frailty of the burnt ecosystem calls for the use of low-impact interventions focused on nature-based solutions (NBS), taking advantage of biological legacies on the site, instead of site preparation and regular-scheme planting. This study presents an ongoing experiment set in one of the largest burnt areas on record in the Dolomites (Taibon Agordino, Italy). Although the forest is already recovering, the presence of invasive species, major changes in forest species composition, and the presence of cascade disturbances in nearby stands triggered the interest in local managers to test novel restoration interventions. Propagules (seeds, seedlings) of Quercus pubescens Mill. have been deployed near biological legacies (shrubs, branches, logs) used as NBS, along with sensors for air temperature and light intensity. We hypothesise that the selected biological legacies enhance the local microclimate and protect propagules from limiting factors such as deer browsing. The tree species selected is not present in the area yet, but it thrives in similar conditions in the Western Alps, and it is expected to adapt to the drier and warmer conditions anticipated with climate change. This intervention represents one of the first examples of assisted migration in the region, paving the way for further trials in the Eastern Alps. Survival and growth of the plants will be monitored periodically over the first two growing seasons, together with microclimate variations near the biological legacies. Preliminary results already show some differences between the experimental treatments. Local stakeholders shared great interest in the outcomes of this study, which can provide new solutions for post-fire forest restoration under a changing climate, in a region where forests provide multiple and highly valued ecosystem services.

How to cite: Taccaliti, F., Sforza, F., Baggio, T., Atzeni, F., Marangon, D., and Lingua, E.: Testing NBS and assisted migration to restore a burnt forest in the Dolomites, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7741, https://doi.org/10.5194/egusphere-egu26-7741, 2026.

EGU26-8314 | PICO | BG3.12

Guidelines for Climate Adaptive Forest Restoration and Reforestation Projects 

John Stanturf, Pedro Villar-Salvador, Barbara Mariotti, Vladan Ivetić, Palle Madsen, Antonio Montagnoli, Enrique Andivia, Ieva Bebre, Anastazija Dimitrova, and Marcin Klisz

The Guidelines for Climate Adaptive Forest Restoration and Reforestation Projects address key questions for climate adaptive forest restoration and reforestation success. Forestry professionals often encounter complex issues related to climate change and the need to adapt forest management practices while preserving biodiversity and maintaining sustainable ecosystems. This book is a compendium of practices based on robust and up-to-date knowledge. The 11 chapters of this guideline focus on the main research questions: how to set the goals of reforestation; how to select the best forest reproductive material; how to determine the appropriate attributes and methods to produce Forest Reproductive Material; and how to apply the best forest establishment techniques and develop post-planting protection and silviculture? Although this work mainly refers to the context of European forestry, practitioners, scientists, environmentalists and decision-makers worldwide will find guidance on how to address the challenges of climate-resilient forest management. Thanks to the joint efforts of 10 editors and 130 authors, scientists, and experts in climate-smart forestry, members of PEN-CAFoRR (Pan-European Network for Climate Adaptive Forest Restoration and Reforestation) COST Action (CA19128), a unique publication has been developed to meet the growing demand for practical knowledge. We are now entrusting this book to people who are deeply committed to the idea of maintaining and shaping future forests. The guideline is available in open access formula.

How to cite: Stanturf, J., Villar-Salvador, P., Mariotti, B., Ivetić, V., Madsen, P., Montagnoli, A., Andivia, E., Bebre, I., Dimitrova, A., and Klisz, M.: Guidelines for Climate Adaptive Forest Restoration and Reforestation Projects, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8314, https://doi.org/10.5194/egusphere-egu26-8314, 2026.

EGU26-13793 | PICO | BG3.12

Can we leave it to nature? – post-fire tree regeneration in Białowieża Forest 

Ewa Zin, Marcin Churski, Martyna Bielak, Anders Granström, Kamil Pilch, Łukasz Kuberski, Elias Elfverson, Kamil Morawski, Brian Verhoeven, and Mats Niklasson

Fire is an important disturbance in European forests, particularly in the Mediterranean region. However, the effects of climate change on fuel availability and fire weather, combined with the widespread dominance of conifer monocultures, high population density, and the significance of human-caused ignition, support predictions of increasing fire risk in temperate Central Europe – a phenomenon likely to necessitate expanded post-fire forest restoration. The non-intervention approach based on ecological succession is often not favoured over active restoration due to economic considerations or legal requirements. Nevertheless, natural ecosystem recovery has been shown to enable successful tree establishment, support biodiversity, and provide microclimatic benefits. Here, we present data on early (2–5 years) natural tree regeneration following non-stand-replacing wildfires in lowland coniferous forests of Białowieża, northeastern Poland, in relation to burn depth and selected microsite characteristics, collected from sample plots along parallel transects within burnt and unburnt forest sections. Our results demonstrate that fire promoted the establishment of diverse tree taxa, including Pinus, Picea, Quercus, Betula, Populus, and Salix. A higher number of saplings was recorded in burnt plots across all sites, with Pinus and Betula benefiting most from both fire disturbance and burn depth. Furthermore, our findings confirm the importance of fire disturbance for the natural regeneration of Scots pine, which is currently nearly absent in the Białowieża Forest otherwise. Our study contributes to the discussion on fire regimes, post-fire ecosystem recovery, and forest restoration in Central Europe, highlighting the great potential for a non-intervention approach after fire. It also provides baseline information to inform conservation and management strategies in the region.

How to cite: Zin, E., Churski, M., Bielak, M., Granström, A., Pilch, K., Kuberski, Ł., Elfverson, E., Morawski, K., Verhoeven, B., and Niklasson, M.: Can we leave it to nature? – post-fire tree regeneration in Białowieża Forest, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13793, https://doi.org/10.5194/egusphere-egu26-13793, 2026.

Drawing from the Millennium Ecosystem Services, planted forests have been increasingly important for provisioning services of wood fiber and commodity production, and have emerged as a unique regulating Nature-based solution (NBS) for climate change adaptation and mitigation. Forest plantations account now for at least 30% of global industrial roundwood production and their contribution can be further increased, while reducing pressures on natural forests. Planted forests have been proposed as one of the most efficient and cost-effective means to store more atmospheric carbon and reduce adverse impacts of climate change in the short- to medium-term, along with improved forest management and reduced emissions from forest area loss.

Increasing the amount and productivity of planted forests is a crucial method to meet increasing timber and climate demands by capturing carbon in forests and subsequent wood products and providing short-run terrestrial energy. They also can help adapt to forest species migration by purposeful introduction of forest species adapted to new climate in a warmer planet, and provide additional forest biodiversity, soil health, and water quality and quantity benefits.

Increases in planted forests to achieve their promise for economic provisioning and climate regulating services mandate that a host of technical, research, policy issues must be resolved quickly. These include technical questions such as (1) the trends and magnitude of planted forests extent needed to increase production and climate roles; (2) the relative benefits of plantations versus natural forest restoration or retention for carbon storage; (3) questions of where such plantings can occur and how to deploy well-performing species to new regions; (4) the technical capacity required to produce seedlings; (5) the rapid development of forest products research and development of engineered forest and mass timber products, and (6) the environmental benefits and impacts of planted forests.

Massive expansion of planted forests must also resolve issues such as (7) rural land tenure status and rights in developed and developing countries, (8) regulations promoting or limiting intensive public forest land management, (9) infrastructure requirements and development; (10) cooperation,  partnerships, and policy implementation, (11) investment opportunities, costs, returns, and incentives required to attract private landowners and outgrowers to plant forests, and (12) the effects on local and global timber markets.

These substantial questions must be resolved or planted forests will not achieve their potential to produce desirable wood fiber and products supplies, realize bioenergy opportunities, or store and offset vast amounts of global carbon emissions. This research tackles these questions while assessing historical trends and current status of planted forests worldwide and identifying the best practices for the development of planted forests for landscape restoration, climate change mitigation, and range of environmental, social, and economic co-benefits.

How to cite: Siry, J., Chudy, R., and Cubbage, F.: Planted Forests: A Key Nature Based Solution for Restoring Forest Landscapes and Mitigating Climate Change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14516, https://doi.org/10.5194/egusphere-egu26-14516, 2026.

EGU26-15186 | PICO | BG3.12

Forecasting Bark Beetle Disturbance Risk for Forest Regeneration Planning 

Jaroslav Čepl, Jiří Chuchlík, and Jiří Korecký

Large-scale bark beetle outbreaks can compromise multiple forest ecosystem services, including timber yield, carbon sequestration capacity, and the protective and cultural values of forests. In Central Europe, recent Ips typographus outbreaks have highlighted the increasing vulnerability of spruce-dominated forests under changing climatic conditions.

Historically, major bark beetle outbreaks were usually initiated by windthrow or snow damage, with fallen trees providing suitable host material and enabling rapid beetle population growth. Recently, drought is increasingly recognised as an additional amplifying or even triggering factor. Heat and water limitation impair spruce defence mechanisms, while warmer temperatures benefit beetles by extending their flight periods and accelerating development, potentially allowing additional generations per year. Together, these processes increase the likelihood that both beetle population growth and host susceptibility coincide over multiple consecutive years.

The aim of this work is to develop a predictive model of bark beetle disturbance vulnerability at the European scale. The modelling framework covers the period 1981–2021 and integrates a range of spatially explicit covariates, including climatic variables (temperature, precipitation, drought metrics), stand properties, and topographic characteristics. Model calibration relied on forest management records and remote sensing–based disturbance maps identifying historical bark beetle outbreaks. These disturbance layers provided spatially explicit binary response data and formed the core reference for model training and validation. The performance of a suite of statistical and machine-learning models was evaluated using both spatial and temporal cross-validation.

Such trained models were subsequently applied to projected future climate conditions under a high-emission scenario (SSP5-8.5), with inter-annual climatic variability explicitly incorporated. Ensemble predictions across different models and iterated climate simulations were aggregated to derive spatially explicit estimates of future bark beetle disturbance risk.

The results emphasize the importance of considering disturbance risk at spatial scales relevant for regeneration planning, highlighting species composition, spatial dispersion, and bet-hedging strategies under increasing ecological uncertainty. The outcomes will contribute to a decision-support system currently developed within the RE-ENFORCE project.

How to cite: Čepl, J., Chuchlík, J., and Korecký, J.: Forecasting Bark Beetle Disturbance Risk for Forest Regeneration Planning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15186, https://doi.org/10.5194/egusphere-egu26-15186, 2026.

EGU26-17190 | PICO | BG3.12

Recovering protective forests after a disturbance. Lessons from active and passive restoration approaches in mountain forests. 

Emanuele Lingua, Matteo Varotto, Flavio Taccaliti, Evan Barbarick, Davide Marangon, Paul Richter, Tommaso Baggio, Matteo Garbarino, Niccolò Anselmetto, Frédéric Berger, and Raffaella Marzano

When large and severe disturbances affect mountain forests, their ability to provide fundamental ecosystem services may be impaired for a long time. Indeed, in the Alps, forested slopes exert a crucial protective function and rapidly restoring the forest cover after a stand-replacing event is key to prevent the occurrence and mitigate the impact of subsequent natural hazards. Post-disturbance intervention can make or break forest recovery and should thus be tailored to meet management requirements and ecological needs. Widespread salvage logging removing all deadwood and other biological legacies in harsh environments where natural regeneration relies on facilitation mechanisms is a classical example of human intervention leading to undesired consequences. Quite often, when time is not a constraint, passive restoration can be the best option. Whenever active restoration is deemed necessary, particularly when large areas are affected, several challenges and limitations have to be addressed. Lack of saplings supply from tree nurseries, specialized workers and funding availability can hamper restoration activities.

Some lessons learnt from mountain forests of the Italian Alps will be presented, considering restoration interventions after forest fires, windthrows and bark beetle outbreaks. Taking advantage of biological legacies, assisted regeneration and applied nucleation provided encouraging results, with nature-based solutions proving to be effective in promptly restoring the ecosystem services provided by forests, especially in protective stands.

How to cite: Lingua, E., Varotto, M., Taccaliti, F., Barbarick, E., Marangon, D., Richter, P., Baggio, T., Garbarino, M., Anselmetto, N., Berger, F., and Marzano, R.: Recovering protective forests after a disturbance. Lessons from active and passive restoration approaches in mountain forests., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17190, https://doi.org/10.5194/egusphere-egu26-17190, 2026.

EGU26-17414 | ECS | PICO | BG3.12

The potential of georeferenced planting and large dataset analysis for close-to-nature forest restoration 

Boris Rantaša, Katja Kavčič Sonnenschein, Natalija Dovč, Saša Ogorevc, Marjana Westergren, and Hojka Kraigher

The Interreg Central Europe project RE-ENFORCE policy brief advocates accelerating forest restoration in Central Europe through the harmonization of definitions, policies, action plans and monitoring. It further calls for the development of a common EU-wide framework for assessing forest restoration success, based on ecosystem-specific indicators that capture biodiversity, structural complexity, and regeneration outcomes. In this context, we propose an adapted approach that explicitly considers local biological diversity, including genetic diversity, in forest restoration and the establishment of close-to-nature forests. To increase future adaptability, naturally occurring local regeneration should be enhanced with enrichment planting using forest reproductive material (FRM) from tree species and provenances that are potentially adapted to future climates.

This approach should be supported by field testing, modern monitoring techniques and decision support methods and should include long-term monitoring of forest restoration projects, enrichment plantings and provenance or common garden trials. In Slovenia, we are developing systems for georeferenced planting and monitoring of local and regional FRM, combined with climate and soil data to evaluate tree species and provenance suitability and resilience when using different restoration techniques.

In our contribution, we present a system for georeferenced planting using highly accurate GNSS antennas and QGIS software, as well as a system design for nationwide forest restoration and FRM suitability monitoring and evaluation in Slovenia. The system also helps address the requirements of the new Regulation on the production and marketing of FRM in the EU regarding the preparation and regular updating of national contingency plans to ensure proactive and effective action against risks arising from climate change and the spread of pests and diseases.

How to cite: Rantaša, B., Kavčič Sonnenschein, K., Dovč, N., Ogorevc, S., Westergren, M., and Kraigher, H.: The potential of georeferenced planting and large dataset analysis for close-to-nature forest restoration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17414, https://doi.org/10.5194/egusphere-egu26-17414, 2026.

EGU26-17839 | ECS | PICO | BG3.12

Fine-scale environmental filtering and seed limitation shape early post-fire regeneration patterns in Mediterranean Pinus halepensis Mill. forests 

Francesco Atzeni, Flavio Taccaliti, Davide Marangon, and Emanuele Lingua

Post-fire regeneration in Mediterranean pine forests is increasingly constrained by recurrent high-severity fires and post-disturbance interventions. We assessed the drivers of early natural regeneration in a coastal Pinus halepensis Mill. forest in Spotorno (NW Italy) affected by two recent high-severity wildfires (September 2006 and July 2015) followed by salvage logging. Pine seedlings were mapped in spring 2025 with an RTK GNSS antenna, while high-resolution UAV images and LiDAR products were used to derive terrain- and forest structure-based predictors. Topographically mediated constraints on regeneration were quantified using the Topographic Wetness Index (TWI) and the Heat Load Index (HLI), which capture spatial variation in soil moisture accumulation and heat exposure. Seed availability was represented by the distance to remnant adult pines, identified from the canopy height model using a local-maximum filtering approach. Spatial point pattern analysis (inhomogeneous Ripley’s K and pair correlation) was used to test whether empirically evident regeneration clusters reflected plant–plant interactions, or environmentally-driven density variation. Drivers of regeneration were modelled using GLMs, GAMs and Random Forests (RF), and two pseudo-absence strategies in the RF were explicitly compared by training models with (i) ecologically informed, spatially homogeneous pseudo-absences and (ii) randomly sampled pseudo-absences. The informed pseudo-absence Random Forest achieved substantially higher discrimination (AUC = 0.895; ACC = 0.821; SEN = 0.785; SPE = 0.864) than the random-absence model (AUC = 0.653; ACC = 0.607; SEN = 0.648; SPE = 0.571). The best model was applied to generate a 5 x 5 m ecological suitability map identifying regeneration “hotspots”, i.e., near seed sources under warm, well-drained microsite conditions, and persistent “coldspots” in convergent terrain and seed-limited areas. This workflow provides an operational, transferable basis for precision-oriented post-fire restoration planning in Mediterranean landscapes where passive recovery is uncertain.

How to cite: Atzeni, F., Taccaliti, F., Marangon, D., and Lingua, E.: Fine-scale environmental filtering and seed limitation shape early post-fire regeneration patterns in Mediterranean Pinus halepensis Mill. forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17839, https://doi.org/10.5194/egusphere-egu26-17839, 2026.

EGU26-19077 | ECS | PICO | BG3.12

Towards a better understanding of tree seedling establishment and its use for forest rejuvenation in Central European forests 

Timo Busse, Frederic Krieger, Fabian Weikl, Benjamin D. Hafner, Astor Toraño Caicoya, Richard L. Peters, and Thorsten E. E. Grams

Rejuvenation of forests is one of the most important ecological and economic challenges in central Europe. In an existing large-scale experiment in southern German forests, c. 500 thousand c. 2 years old tree seedlings of Beech, Douglas fir, Silver, Oak have been planted in rows. However, our knowledge of how potential small-scale factors like tree stumps and tree mixture mechanistically enhance tree establishment after planting is limited.

We focused on 6 plots (c. 2500 seedlings) of Douglas fir, planted on a comparably dry site without mature trees. We observed that those trees differed in height, 3 years after planting. Moreover, trees of comparably greater height cluster together on a small spatial scale of 3 m radius. However, conventional tree planting methods (in rows) neglect those beneficial small-scale sites for tree establishment.

Using an app we programmed (Shiny package in R) for quickly finding trees clustered by e.g. height, clusters of 3 m radius of well- and poorly-established trees were identified. A combination of multispectral drone-derived optical parameters, morphological analyses of twigs and 13C analyses of tree needles was then used to provide insight into the factors driving the trees’ height differences.

First results showing the positive effects on the establishment of young trees are presented, i.e. incorporating spatial proximity to tree stumps and using a tree mixture in the planting method. Further steps to gain a better understanding of the mechanisms driving tree seedling establishment are discussed.

How to cite: Busse, T., Krieger, F., Weikl, F., Hafner, B. D., Toraño Caicoya, A., Peters, R. L., and Grams, T. E. E.: Towards a better understanding of tree seedling establishment and its use for forest rejuvenation in Central European forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19077, https://doi.org/10.5194/egusphere-egu26-19077, 2026.

EGU26-22570 * | ECS | PICO | BG3.12 | Highlight

Assisted Migration and Large-Scale Restoration in Europe Would Require Over 100 Billion Seedlings 

Albert Ciceu, Thibaud Chauvin, Heino Konrad, Debojyoti Chakraborty, and Silvio Schueler

Climate change is expected to profoundly alter the climatic suitability of tree species across Europe, necessitating large-scale reforestation and assisted migration to maintain forest ecosystem services. Here, we present a pan-European projection of potential seedling requirements under assisted migration across three reforestation strategies: conifer-preferred, broadleaf-preferred, and promotion of natural regeneration. Our simulations show that under the moderate-emission scenario (RCP4.5), total seedling requirements range from ~92 billion under the natural-regeneration-oriented strategy to ~144 billion when broadleaves are prioritized. Under the high-emission scenario (RCP8.5), demand rises substantially, reaching up to ~192 billion seedlings across the landscape.

Temporal patterns differ between scenarios. Under RCP4.5, seedling requirements are highest early in the century, with 2035 totals of ~69–72 billion for replacement-focused strategies and ~47 billion for the natural regeneration scenario, declining steadily toward 2095. In contrast, RCP8.5 projections peak at the end of the century, reaching ~76–82 billion seedlings for replacement-focused strategies and ~50 billion under natural regeneration.

Species composition of projected demand varies with reforestation strategy. In the conifer replacement strategy, silver fir, Scots pine, and black pine dominate, together requiring roughly 50–60 billion seedlings, with higher totals under strong warming. In the broadleaf-focused scenario, pedunculate oak, European beech, and sessile oak account for over 40 billion seedlings under moderate warming and exceed 55 billion under RCP8.5. Prioritizing natural regeneration reduces overall demand, though these broadleaf species remain dominant, requiring ~30–35 billion seedlings even under strong climate change.

Spatially, Central-East Europe represents the largest potential market, driven primarily by Poland, Belarus, Ukraine, Romania, and Czechia. Under RCP8.5 with broadleaf expansion, these countries collectively require over 72 billion seedlings, with Poland and Belarus alone accounting for ~23 and ~21 billion seedlings, respectively. Central-West Europe forms the second-largest market, led by Germany (~28 billion seedlings), while Northern, South-Eastern, and South-West Europe show moderate to low demand, rarely exceeding 15 billion seedlings per region.

Our results highlight the scale of effort required to implement assisted migration in Europe and emphasize the critical need for strategic planning in seedling production and distribution. Central and Central-Western Europe, in particular, will likely require substantial increases in nursery capacity and cross-border coordination to meet projected needs. These findings provide actionable insights for policymakers and the nursery sector, supporting the development of climate-adapted reforestation strategies capable of sustaining Europe’s forests under future climate conditions.

How to cite: Ciceu, A., Chauvin, T., Konrad, H., Chakraborty, D., and Schueler, S.: Assisted Migration and Large-Scale Restoration in Europe Would Require Over 100 Billion Seedlings, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22570, https://doi.org/10.5194/egusphere-egu26-22570, 2026.

Although the relationship between biodiversity and ecosystem functioning (BEF) has been extensively studied, the mechanisms by which species mixing ratios in mixed forests regulate community productivity and tree responses to climatic stress through interspecific interactions remain poorly understood. In this study, we systematically investigated how different species mixing ratios influence ecosystem functioning in temperate Pine–Oak mixed forests.

First, using dendrochronological methods, we assessed tree climate sensitivity as well as resistance (Rt), recovery (Rc), and resilience (Rs) under both short-term and long-term drought conditions. We found that species mixing does not universally reduce climate sensitivity or enhance drought resistance; rather, only moderate mixing ratios optimize drought resistance and recovery, especially for oak. In contrast, pine shows reduced drought resistance when the proportion of oak is high, suggesting that the biodiversity effect may be asymmetric among different species.

In addition, from the perspective of spatial and phenological niche differentiation in resource use, we revealed the mechanisms by which mixing ratios regulate community productivity across multiple temporal scales (yearly, monthly, and daily). Tree-ring width served as a proxy for productivity, providing five-year average annual values, while microcore techniques captured monthly and daily dynamics of growth. Monthly changes in leaf area index (LAI) and community-weighted mean photosynthetic capacity (CMW-Pn) were monitored, and stable isotope tracers, hydraulic traits, and soil nutrients were used to evaluate water and nutrient niches. Our results demonstrate that complementary use of light resources among different tree species is the primary mechanism driving increased productivity in mixed forests, exerting a much stronger influence than water or nutrient factors. Specifically, the key determinant of productivity lies in community-level light interception capacity rather than photosynthetic capacity alone. In addition, phenological niche differentiation plays a crucial role in enhancing productivity. Through daily-scale growth monitoring, we quantified this mechanism for the first time: asynchronous growth phenology among species substantially reduced interspecific competition and strengthened temporal resource complementarity, ultimately increasing overall community productivity by approximately 15%.
These findings provide new mechanistic insights into enhancing and sustaining productivity in mixed forests under climate change.

How to cite: Wang, X.: Mechanisms of mixed forests enhancing community productivity and their effects on climate response, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-686, https://doi.org/10.5194/egusphere-egu26-686, 2026.

Forest productivity often increases with tree species mixing. However, the structural mechanisms through which species mixing reorganizes stand structure across hierarchical levels and thereby regulates forest productivity and carbon storage remain unresolved. Here, we combined high-resolution UAV-LiDAR surveys with Dagum Gini decomposition in a subtropical evergreen broad-leaved forest to partition stand structural heterogeneity into inter- and intra-specific components. We found that species mixing generated contrasting structural responses across hierarchical levels, amplifying size differentiation among species while reducing size variation within species. The resulting increase in inter-specific heterogeneity was the dominant pathway promoting aboveground carbon accumulation, consistent with realized niche complementarity and more efficient space use. By contrast, intra-specific structural convergence exerted a negative effect on carbon storage, likely reflecting growth suppression under intensified neighborhood competition. Overall, species mixing enhanced aboveground biomass because the benefits of species-level structural stratification outweighed the costs of population-level homogenization. Our results highlight hierarchical structural reorganization as a key mechanism linking biodiversity to forest productivity.

How to cite: Zhou, Z.: Species mixing enhances aboveground biomass via structural heterogeneity in a subtropical forest, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1895, https://doi.org/10.5194/egusphere-egu26-1895, 2026.

EGU26-2897 | ECS | Orals | BG8.5

Incorporating site suitability and carbon sequestration of tree species into China’s climate-adaptive forestation 

Meinan Zhang, Shirong Liu, Xiangzhong Luo, Trevor F. Keenan, Liyong Fu, Chiwei Xiao, Yao Zhang, and Peng Gong

Strategic selection and precise matching of climate-resilient tree species are pivotal for climate-adaptive forestry in terms of forest-based climate change mitigation and adaptation to maximize its full potential. Current forestation plans often fail to account for environmental shifts, particularly at individual species resolution, jeopardizing suboptimal carbon sequestration over the long term. Here we developed a climate-adaptive optimization framework to guide tree species selection and planting in China based on projections of species-specific habitat viability and range redistribution under future climate scenarios. Leveraging over 200,000 tree samples from National Forest Inventories spanning 1999-2018, we quantified habitat viability declines of 12.1-42.9% by 2060 for currently dominant plantation species due to climate threats. Through optimized species-site matching and strategic timber harvesting at peak carbon uptake, we identified 43.2 million hectares sustaining climate-resilient forestation during 2025-2060 - planting approximately 46 billion climate-adapted trees with a total sequestration potential of 3,822.6 Tg of carbon, representing a 28.7% increase compared to unmanaged scenarios. Our study underscores the critical role of optimized adaptive forestation under future climate change scenarios in ensuring carbon mitigation while delivering technical guidance for climate-adaptive forest management plans supporting China’s net-zero aligned goals.

How to cite: Zhang, M., Liu, S., Luo, X., Keenan, T. F., Fu, L., Xiao, C., Zhang, Y., and Gong, P.: Incorporating site suitability and carbon sequestration of tree species into China’s climate-adaptive forestation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2897, https://doi.org/10.5194/egusphere-egu26-2897, 2026.

European forests deliver diverse ecosystem services, yet increasing human pressures and intensified wood harvest to meet climate and bioeconomy goals risk undermining their multifunctionality. Within the EU-funded ForestNavigator project, we examine how citizens across five EU countries (Czech Republic, Ireland, Italy, Spain, and Sweden) perceive trade-offs among forest ecosystem services , with particular attention to cultural and recreational values. These services are typically undervalued due to the absence of market prices and remain underrepresented in analyses, despite EU forest policy objectives that explicitly call for a more balanced consideration of multiple services within sustainable forest management.

We implemented a harmonized multi-country choice experiment (CE) survey with ~5,700 representative respondents, capturing willingness-to-pay (WTP) for forest management scenarios varying in wood harvest, mitigation potentials, protected areas, landscape amenities, and recreational infrastructure.

Key findings on more traditional ecosystem services reveal strong public support for climate mitigation via forest management, with greater WTP for a target more stringent than the EU2030 (€39–€64). Intensive harvesting - especially at 100% of forest regrowth - is broadly disapproved, even at 75% levels. Ambitious conservation, notably strict forest protection at 30%, receives substantial backing (up to +€28 in Ireland and +€26 in Sweden).

Focusing on cultural ecosystem services, nature-oriented recreation links with high value across countries (+€24 to +€29), contrasting with weaker and more variable support for resource-intensive recreation. Preferences for landscape diversity are nuanced; medium diversity often ranks higher than high diversity, with significant appreciation for high diversity in Ireland and the Czech Republic.

WTP varies significantly across demographic groups, with younger, more educated, employed, and higher-income individuals living near forests or urban areas showing higher values. These insights underscore the need for targeted policy communication and investment strategies in forest management.

Our results contribute to integrating cultural ecosystem service values into policy frameworks, integrated and land-use models, enhancing recognition of non-market forest services and informing sustainable forest management that balances climate goals, conservation, and public preferences.

How to cite: Michetti, M. and Eboli, F.: Assessing Preferences for Forest Ecosystem Services Across Europe: Emphasizing Cultural and Recreational Values, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4060, https://doi.org/10.5194/egusphere-egu26-4060, 2026.

Restoration based on reference ecosystems offers essential benchmarks for achieving Sustainable Development Goals. Yet, existing quantitative research often fails to account for the spatial heterogeneity of these references. This study proposes a regionalized framework combining zoning logic with key indicators to assess restoration goals and potential fairly. Using the northern Qinling Mountains as a case area, the research applies a dual-indicator approach: first, using eco-geological metrics to map resource distribution; and second, utilizing landscape integrity, NDVI, and NPP to set site-specific restoration targets. Reference ecosystems were defined via protected area data and human footprint thresholds. By tracking the spatio-temporal evolution of these systems, the study evaluates previous restoration efforts and identifies priority zones for future intervention. This approach provides a scientifically grounded blueprint for regional ecological protection and repair.

How to cite: Hao, Y.: Towards a spatiotemporal framework for ecological restoration management based on geo-ecological zoning and reference states, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4624, https://doi.org/10.5194/egusphere-egu26-4624, 2026.

EGU26-5398 | ECS | Orals | BG8.5

Underestimated Short- and Long-Term Impact of Clear-Cutting on Volatile Organic Compounds in a Boreal Forest 

Yiwei Gong, Cheng Wu, Radovan Krejci, Ross Petersen, Michael Bauer, Thomas Holst, Janne Rinne, Irene Lehner, Yvette Gramlich, Mattias Hallquist, Jay Slowik, André Prévôt, and Claudia Mohr

Boreal forests are a major source of biogenic volatile organic compounds (BVOCs), which undergo atmospheric oxidation and contribute to the formation of secondary organic aerosol (SOA) and cloud condensation nuclei. Clear-cutting, a common forest management practice involving the uniform removal of most or all trees within a designated area, can substantially alter biosphere–atmosphere interactions. In Sweden, approximately 2% of the managed forest area is harvested annually.

Here we present results from continuous observations conducted from 2020 to the present at the Norunda ACTRIS and ICOS research station in the Swedish boreal forest, where a clear-cutting event occurred in 2022 surrounding the main measurement tower. This event provided a unique opportunity to investigate the short- and long-term impacts of forest clear-cutting on atmospheric composition.

Our results show that clear-cutting significantly altered BVOC concentrations. While enhanced emissions of terpenes were expected, we also observed unexpectedly elevated concentrations of aromatic compounds, indicating that stressed boreal forests may represent an important source of aromatics. Source apportionment analysis reveals the emergence of new VOC sources during and after cutting, highlighting a more complex response of VOC emissions to forest management than previously recognized. Post-cutting factors further suggest a persistent, long-term influence on atmospheric composition. In addition, a chemical box model is used to simulate VOC oxidation processes under different clear-cutting scenarios, providing further insight into the underlying chemical mechanisms.

How to cite: Gong, Y., Wu, C., Krejci, R., Petersen, R., Bauer, M., Holst, T., Rinne, J., Lehner, I., Gramlich, Y., Hallquist, M., Slowik, J., Prévôt, A., and Mohr, C.: Underestimated Short- and Long-Term Impact of Clear-Cutting on Volatile Organic Compounds in a Boreal Forest, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5398, https://doi.org/10.5194/egusphere-egu26-5398, 2026.

EGU26-6829 | Posters on site | BG8.5

Forest-based climate mitigation: a systems perspective focused on bio-energy and carbon 

Stefan Dekker, Hugo de Boer, Maria Santos, Steef Hanssen, and Hans de Kroon

Forests are currently estimated to store 861 GtC globally, and have absorbed nearly 200 GtC over the past 150 years, half of all fossil fuel emissions. Their essential role in the terrestrial carbon cycle makes forests central to climate mitigation. For example, through maintaining natural carbon stores, replacing fossil carbon-based building materials with timber-based materials, and bio-energy production without or with Carbon Capture and Storage (BECCS). Debates around forest-based bio-energy are highly contentious and often lack a systems perspective, omitting crucial processes required for holistic analysis of climate-relevant impacts. A systems perspective enables to quantify when and where, and the bounding conditions for carbon neutrality, moving towards transient and uncertainty-aware rather than static calculations of atmospheric CO2 concentration. By using a systems perspective, a better understanding will better define and constrain the fate of carbon. Three fundamental debates surround forest-based bio-energy:

  •  Is wood harvesting carbon-neutral A simple question, but the answer depends on the definition of carbon-neutrality used. We reviewed the literature to seven definitions, herein we focus on: i) IPCC: Harvesting counts as carbon loss, and there is an assumption that burning wood is carbon-neutral; further carbon credits and debts should be linked to the carbon cycle, ii) Carbon payback: Emissions must be reabsorbed by new growth, and assume to take 40 years.
  • What are the uncertainties associated with predictions of forest climate mitigation potential? Earth observations and models have shown that the is slowing down, and sinks have reversed to sources. Causes are multiple, including heat waves, droughts, fires and disease. Old growth forests’ role has become clarified, with increasing evidence that they continue to take up carbon, especially under carbon and nitrogen fertilization. Yet, effectivity of bio-energy options should consider both the role of old growth forests and the slow carbon cycle, failing to re-introduce carbon back over decadal to centennial timeframes.
  • What are the land area requirements of forest-based energy demands?. Globally, only 3% of our current forests are plantations, an area far from that needed to meet energy needs. Plantation forests have limited potential for climate mitigation due to their assimilation rates, harvesting regimes, and heightened fire risk, among others. Multiple future scenarios use abondoned land for expanding energy crops, yet without an examination of the efficiency of photosynthesis versus that of photovoltaic solar panels (0.1% versus 20%).

With our systems perspective, we compare the carbon balance between forests that are managed for bioenergy and that of forests that remain intact. In this presentation we only focus on carbon with a focus on residual flows. Our results question if the promotion of bioenergy from forests through the Renewable Energy Directive can level off all trade-offs. While forests are crucial for climate adaptation and restoration such as climate-smart forestry, biodiversity-friendly afforestation, nature-based climate solutions, a one-size fits all approach may be detrimental especially in the long run. 

How to cite: Dekker, S., de Boer, H., Santos, M., Hanssen, S., and de Kroon, H.: Forest-based climate mitigation: a systems perspective focused on bio-energy and carbon, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6829, https://doi.org/10.5194/egusphere-egu26-6829, 2026.

EGU26-7060 | Posters on site | BG8.5

How Forest Structure and Management Impact on Forest Behavior 

Holger Lange, Jaana Bäck, Anke Hildebrandt, Thomas Holst, Georg Jocher, Julia Kelly, Natascha Kljun, Anne Klosterhalfen, Alexander Knohl, Natalia Kowalska, Adam Kristensson, Luna Morcillo, Teresa Sauras-Yera, Tim Philipp Schacherl, and Alberto Vilagrosa

Forests are increasingly exposed to extreme events and disturbances like droughts, storms, fires, pathogens, and others. At the same time, forests are expected to act as important carbon sinks with the corresponding climate change mitigation capacity. What are the links between forest structure and ecosystem functional properties and the resilience against disturbances and extreme events? What are the options for forest management in this context?

Using data from flux towers and field experiments from 90 sites in 16 countries, mostly in Europe, and remote sensing observations, we investigate the role of forest structure as buffer of climate extremes; link light-use efficiency to stand characteristics and management; elucidate the role of climate effects of short-lived climate forcers and their feedback due to a warming climate, stress and disturbances, and evaluate the impact of extreme drought, fire disturbances and forest management on soil organic carbon (SOC) and nitrogen dynamics.

Combining GAMs with bootstrap-based variable importance analysis, we could show that there are associations between the means of selected Ecosystem Functional Properties of boreal and temperate forests, like photosynthetic capacity (NEPsat) or underlying water-use efficiency (uWUE), and structural complexity metrics, like Leaf Area Index or Near-Infrared Reflectance of Vegetation. With increasing drought stress, higher canopies, LAI and species number stabilizes the forest response both for NEPsat and uWUE.

Work on entangling the climate effects of short-lived climate forcers (SLCFs) is progressing with measurements of terpene concentrations and emissions and aerosol particle dynamics process modelling. Model evaluation of the climate effect from afforestation in the Nordic countries with coniferous trees on previous grassland shows that the climate cooling effect of increased terpene emissions and aerosol formation outweighs the warming effect due to the filtering of aerosol particles by trees.

Field experiments on Spanish sites indicate that drought (induced through precipitation exclusion) significantly reduces the litter decomposition rate, and that thinning increases SOC content; however, differences in SOC between management regimes are often masked by high spatial variability.

The work presented has emerged within the Work Package “Data assessment of processes and their impacts on biodiversity and climate effects on forests” of the CLIMB-FOREST H2020 EU project.

How to cite: Lange, H., Bäck, J., Hildebrandt, A., Holst, T., Jocher, G., Kelly, J., Kljun, N., Klosterhalfen, A., Knohl, A., Kowalska, N., Kristensson, A., Morcillo, L., Sauras-Yera, T., Schacherl, T. P., and Vilagrosa, A.: How Forest Structure and Management Impact on Forest Behavior, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7060, https://doi.org/10.5194/egusphere-egu26-7060, 2026.

EGU26-7600 | Orals | BG8.5

Deriving climate-smart forestry strategies under uncertain future climate 

Konstantin Gregor, Christopher Reyer, Benjamin Meyer, Thomas Knoke, Andreas Krause, Mats Lindeskog, and Anja Rammig

Multi-functional forestry is a central objective of recent European policy frameworks, such as the New EU Forest Strategy for 2030 and the EU Biodiversity Strategy for 2030. These strategies, together with the LULUCF regulation, aim to ensure the continued provision of multiple forest ecosystem services under climate change, such as timber production, biodiversity conservation, and climate regulation.

These expectations arise alongside increasing demands for wood products, leading to partially conflicting objectives. The uncertainty of future climate changes further complicates the development of multi-functional forestry strategies.

Here, we demonstrate our recent work addressing these issues. We used process-based ecosystem modeling combined with robust multi-criteria optimization to derive forest management portfolios for climate-smart forestry under climate uncertainty. Using simplified management options and simulations across four RCPs, we show that regionally optimized portfolios can support the provision of multiple ecosystem services across a wide range of future climates. In particular, higher shares of broad-leaved and unmanaged forests were beneficial for biodiversity and other regulating services, but entailed clear trade-offs with timber provision.

We further examined the effects of additional constraints, such as maintaining stable harvest levels and enforcing strict protection on 10% of the land area. These constraints substantially reduced management flexibility and made inter-regional compensation between wood production and forest protection necessary, often at the expense of multi-functionality within regions. Overall, our results highlight the difficulty of fulfilling all demands simultaneously under climate uncertainty. Nonetheless, they illustrate how the methodology can be helpful to derive forward-looking climate-smart strategies.

How to cite: Gregor, K., Reyer, C., Meyer, B., Knoke, T., Krause, A., Lindeskog, M., and Rammig, A.: Deriving climate-smart forestry strategies under uncertain future climate, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7600, https://doi.org/10.5194/egusphere-egu26-7600, 2026.

EGU26-8020 | ECS | Orals | BG8.5

Stress‑Testing Forest Policy Pathways for Climate and Biodiversity outcomes 

Joanna Raymond, Mohamed Byari, Alma Galicia Cruz, Eva Lieberherr, Tamaki Ohmura, Yongchao Zeng, and Mark Rounsevell

European forests face increasing climate extremes and disturbance pressures while being expected to deliver climate mitigation, biodiversity conservation, and multiple ecosystem services. Simultaneously, the European Union’s (EU) Green Deal aims at climate neutrality, with a growing number of EU forest-related policy targets spanning multiple sectors and including both overlapping and competing objectives. This creates uncertainty about how policy priorities translate into forest management and land-use outcomes across the EU. We thus analyse how these EU forest-related policy target portfolios, together with the institutional processes that implement them, shape climate, biodiversity, and ecosystem-service outcomes in European forests, and identify robust policy pathways under uncertain climate and socio-economic futures.

We develop and apply InsNet-CRAFTY, which couples a multi–large language model (LLM) institutional network to the agent-based land-use model CRAFTY-EU. The framework represents key features of policy processes, including bounded rationality, incremental decision-making, and unstructured information exchange, while capturing competing mandates within polycentric governance. We operationalise four interacting institutional agents representing core ministerial portfolios: Agriculture (land-use and production), Environment (biodiversity and conservation), Bioeconomy (forest-based bioeconomy innovations), and Climate (mitigation and adaptation). These agents operate in parallel, negotiate their priorities, and adjust policy instrument mixes under budget and feasibility constraints. To reflect heterogeneity across Europe, we parameterise member-state differences in institutional influence and policy prioritisation based on country-specific forest policy orientations regarding utilisation and conservation.

Institutional agents translate targets into policy instrument choices and calibrations, explicitly accounting for synergies and conflicts among instruments. We simulate policy pathways at short- (2030), medium- (2050), and long-term (2100) horizons, and evaluate outcomes using indicators of forest area and types, management strategies, carbon sequestration, biodiversity impacts, and a broad set of ecosystem services. Pathways are then stress-tested across a range of climate and socio-economic scenarios to identify when interventions trigger unintended trade-offs, or require adaptation to avoid maladaptation. The results provide a comparative assessment of pathway robustness, highlighting leverage points in instrument design, regional sensitivities, and policy mixes that maximise co-benefits for climate, biodiversity, and forest resilience under deep uncertainty.

How to cite: Raymond, J., Byari, M., Galicia Cruz, A., Lieberherr, E., Ohmura, T., Zeng, Y., and Rounsevell, M.: Stress‑Testing Forest Policy Pathways for Climate and Biodiversity outcomes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8020, https://doi.org/10.5194/egusphere-egu26-8020, 2026.

EGU26-10380 | ECS | Orals | BG8.5

Reassessing Global Afforestation and Reforestation Potentials under Climate Change Scenarios 

Tomke Honkomp and Julia Tandetzki

Afforestation and reforestation (A&R) are central components of current climate mitigation strategies and hold substantial potential for supplying biomass. However, large uncertainties remain regarding their actual mitigation potential, with considerable variation across global estimates, partly due to methodological differences. This study refines existing estimates of A&R potential by integrating temporal dynamics, climate change impacts, and land-use competition within a deliberately conservative framework.

We combine climate-sensitive forest biome projections with current land-use cover data to assess global A&R potentials under three representative concentration pathways (RCP 2.6, 4.5, and 8.5) up to 2080 at a spatial resolution of 1 × 1 km. To account for land-use competition, A&R is restricted to non-managed pastureland. Potential biomass production and associated carbon sequestration are estimated using region-specific growth data in accordance with IPCC guidelines.

Across all RCPs, we identify 731 million hectares globally as suitable for A&R through 2080. Relative to the historical baseline, climate change scenarios lead to a a net reduction of up to 24 million hectares of potential A&R area. While global potentials decline, regional patterns diverge markedly: boreal regions experience an increase in suitable area (+34 million hectares), whereas tropical and temperate regions exhibit substantial reductions (–33 and -18 million hectares, respectively). The A&R potentials presented here are intentionally conservative with respect to climate uncertainty, land-use competition, and long-term viability. Integrating these estimates with complementary scientific assessments is essential to underpin the feasibility of current climate policy targets and to support robust projections of biomass availability for scaling up the bioeconomy.

If implemented in accordance with local ecological conditions, the identified A&R potentials can inform policy responses to climate-related risks and may contribute to climate mitigation while supporting a biomass supply as a substitute for fossil-based products. However, successful implementation requires careful consideration of resource constraints (e.g., water availability) and future abiotic and biotic risks.

How to cite: Honkomp, T. and Tandetzki, J.: Reassessing Global Afforestation and Reforestation Potentials under Climate Change Scenarios, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10380, https://doi.org/10.5194/egusphere-egu26-10380, 2026.

EGU26-10441 | ECS | Posters on site | BG8.5

Mapping forest restoration costs using a spatial–economic framework for fractal deforestation patterns 

Andrea Urgilez-Clavijo, David Andrés Rivas-Tabares, Raffaella Ansaloni, Emanuel Martínez, Ma. Elena Castro-Rivera, and Dionisio Pérez-Blanco

This work addresses a fundamental limitation in current forest restoration strategies: degraded landscapes are highly fragmented, yet investment decisions are rarely guided by spatially explicit economic indicators. As a result, restoration efforts often depend on voluntary actions and fail to alter the spatial configurations that allow deforestation to persist and spread. We present a framework that integrates fractal theory1, landscape topology2, and economic reasoning to convert the geometry of deforested areas into measurable restoration costs at the pixel level.

Using ecological skeletons2 and critical thresholds of natural capital, we derive a spatial–economic metric that assigns an intervention cost to every degraded patch. This leads to investment and priority maps that explicitly show where action should be taken, the expected financial effort required, and the order in which patches should be restored. By turning sophisticated fractal diagnostics into practical decision-support tools, this work provides a quantitative foundation for allocating public and private funds to restoration actions that maximize impact per unit of investment.

1 Urgilez-Clavijo, A., Rivas-Tabares, D. A., Martín-Sotoca, J. J., & Tarquis Alfonso, A. M. (2021). Local fractal connections to characterize the spatial processes of deforestation in the Ecuadorian Amazon. Entropy23(6), 748.

2 Urgilez-Clavijo, A., Rivas-Tabares, D. A., Gobin, A., Tarquis Alfonso, A. M., & de la Riva Fernández, J. (2025). Understanding local connectivity and complexity in the skeleton of deforestation. Scientific Reports15(1), 18192.

How to cite: Urgilez-Clavijo, A., Rivas-Tabares, D. A., Ansaloni, R., Martínez, E., Castro-Rivera, Ma. E., and Pérez-Blanco, D.: Mapping forest restoration costs using a spatial–economic framework for fractal deforestation patterns, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10441, https://doi.org/10.5194/egusphere-egu26-10441, 2026.

EGU26-12135 | ECS | Posters on site | BG8.5

Influence of different scales of forest structural complexity on ecosystem stability 

Tim Schacherl, Julia Kelly, Natascha Kljun, Alexander Knohl, Holger Lange, and Anne Klosterhalfen

Disturbances such as extreme drought stress are becoming more frequent globally and pose a critical threat to boreal and temperate forests. Forest resistance to disturbances is influenced by multiple factors, including soil, climate, and structural complexity. Since a substantial portion of ecosystem functioning variability is related to maximum ecosystem productivity and water-use strategies, as part of WP2 of the CLIMB-FOREST EU project we calculated ecosystem functional properties (EFPs) that reflect these processes. Specifically, we used eddy covariance flux data to quantify photosynthetic capacity (NEPsat), underlying water-use efficiency (uWUE), and evaporative fraction (EFrac) for 71 forest sites across boreal and temperate regions of Europe and North America. To describe functional stability, we analyzed both mean EFPs and their inter-annual variability for each site. To examine which scales of structural complexity are associated with EFP stability, we used satellite-based indices describing vegetation structure and heterogeneity, including Rao’s Q of the Enhanced Vegetation Index (EVIRao), normalized near-infrared reflectance of vegetation (NIRvN), near-infrared entropy (NIRent), and maximum leaf area index (LAI). We applied generalized additive models (GAMs) combined with bootstrap-based variable importance analysis to evaluate associations between EFPs and structural complexity.

We found that associations between EFPs and structural complexity metrics varied among ecosystem properties, with predictors more frequently meeting bootstrap-based importance criteria for mean EFPs than for their inter-annual variability. Maximum LAI and NIRvN were consistently retained as important predictors for mean NEPsat and mean EFrac, whereas no structural complexity metrics met the importance criteria for uWUE or for most variability metrics. Smooth-term estimates indicated directional partial associations, with higher LAI and NIRvN corresponding to higher modelled values of NEPsat and EFrac, while EVIRao and NIRent showed weaker or inconsistent partial trends. Overall, the results suggest that quantity of leaves and their spatial arrangement might be more important for EFPs than horizontal heterogeneity. Forests with denser and more organized canopies tended to function at higher levels of productivity and evaporation, without showing stronger inter-annual variability. 

How to cite: Schacherl, T., Kelly, J., Kljun, N., Knohl, A., Lange, H., and Klosterhalfen, A.: Influence of different scales of forest structural complexity on ecosystem stability, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12135, https://doi.org/10.5194/egusphere-egu26-12135, 2026.

EGU26-12332 | Posters on site | BG8.5

Introduction to the CLIMB-FOREST project: Climate Mitigation and Bioeconomy Pathways for Sustainable Forestry 

Adam Kristensson, Anders Ahlström, Paloma Ruiz-Benito, Holger Lange, Mark Rounsevell, Svein Solberg, and Paul Miller

The CLIMB-FOREST Horizon Europe project (101059888) addresses a need to strengthen the role of European forests in mitigating climate change while maintaining biodiversity, ecosystem services and old-growth forests. By integrating empirical data, advanced modelling and a multi-actor approach, CLIMB-FOREST generates science-based socio-economic pathways for future climate-smart forest management across Europe.

WP1: Mapping Current Forests and Management Patterns
The first work package provides a pan-European mapping of forest status and managament, and specific fieldwork within primary forests. We produced pan-European forest age, structure, carbon storage and management regimes from national forest inventory data. Through paired site comparisons of primary and managed forests, the project quantifies how forestry practices influence carbon sequestration. These maps form the empirical backbone for later modelling and scenario analyses.

WP2: Process Understanding at Field Sites
CLIMB-FOREST quantifies biogeochemical and biophysical processes at long-term monitoring sites across climatic gradients in Europe. Using field measurements and satellite observations, WP2 assesses carbon uptake, disturbance responses, and other climate-relevant processes in forest ecosystems including short-lived climate forcers (SLCFs). A database of over 80 contributing sites, with linked carbon stocks and ecosystem function data improves the understanding of forest climate effects.

WP3: Bioeconomy and Wood Product Preferences
WP3 explores the socio-economic dimensions of forest-based mitigation. This work package quantifies the role of forest products, especially long-lived ones in climate mitigation and for the bioeconomy. Interviews and surveys with forest owners, industry actors and end-users capture preferences, perceived barriers, and incentives for adopting alternative wood products and management practices.

WP4: Pan-European Integrated Modelling
WP4 brings together data from WP1 – WP3 and management recommendations from WP5 into advanced, integrated modelling frameworks. These models simulate different management and socio-economic pathway scenarios for the future, and simulate how climate, associated disturbances and management alternatives in each pathway influence biodiversity and forest states and function over the whole of Europe, as well as trade-offs between targeted policies and desired environmental benefits.

WP5: Stakeholder Engagement and Adaptation
This work package actively engages with forest owners, wood industries and civil society through field visits and workshops in representative forest regions. Stakeholders identify and refine optimal management strategies that enhance resilience to climate change while delivering biodiversity and ecosystem services. These participatory activities ensure that project outputs are grounded in real-world needs and concrete adaptation.

We are 3 years into the project, and well on the way to provide suggestions for forest management pathways in Europe that are scientifically sound, sustainable and climate-mitigating. The modelling outcomes already point to a clear trade-off between high volume of timber produced in highly productive and greenhouse gas intensive socio-economic scenarios and more environmentally sustainable scenarios.

How to cite: Kristensson, A., Ahlström, A., Ruiz-Benito, P., Lange, H., Rounsevell, M., Solberg, S., and Miller, P.: Introduction to the CLIMB-FOREST project: Climate Mitigation and Bioeconomy Pathways for Sustainable Forestry, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12332, https://doi.org/10.5194/egusphere-egu26-12332, 2026.

Natural climate solutions (NCS) are often promoted as cost-effective and readily available mitigation measures to slow down global warming. The largest emission reduction potentials are estimated for forest-based NCS such as reforestation, avoided deforestation, and improved forest management. Yet, uncertainties are high regarding the magnitude and permanence of negative or avoided emissions, given i.a. uncertainties in implementation and governance of these measures, extrapolating global potentials from limited case study data, and effects of climate change on forest carbon stocks.

We set out to better constrain the biophysical potential of forest-based NCS using the dynamic global vegetation model LPJmL. The model has a long track record of simulating the effects of climate and climate change on the carbon, water and nitrogen cycle of forests and other terrestrial ecosystems. Whereas the management of agricultural systems was already well-represented, the model so far had no explicit representation of any forest management.

We implemented forest harvest, but more importantly replaced the use of a single average individual representing all trees in a grid-cell with an explicit representation of age classes in order to improve simulation of forest (re-)growth after management (harvest or land-use abandonment) and after natural disturbance events (e.g. fire, drought).

We show results for the historical period and future scenarios contrasting simulations with and without forest harvest and demonstrate the importance of including age classes.

How to cite: Ostberg, S. and Müller, C.: Implementing forest-based natural climate solutions (NCS) in a global vegetation model to better constrain global potentials, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12351, https://doi.org/10.5194/egusphere-egu26-12351, 2026.

EGU26-12998 | Posters on site | BG8.5

Growth-driven heartwood formation in oak: evidence across monocultures and mixed-species plantations 

Bruno Barcante Ladvocat Cintra, Harvey Blowfield, Oren Anderson, and Jo Bradwell

Heartwood formation represents a major physiological transition in tree development, converting hydraulically active sapwood into structurally and chemically resistant tissue. This process has important implications for tree longevity, hydraulic regulation, and long-term carbon storage, yet the drivers of variation in heartwood formation among conspecific trees remain poorly quantified. In particular, it is unclear how accelerated growth, management interventions, and short-term stress interact to influence heartwood development in temperate hardwood species within forestry systems designed to enhance carbon sequestration and resilience. Here, we assess the combined effects of tree size, age, growth rates, and growth suppression on heartwood formation in Quercus robur across a network of planted stands of contrasting ages and species compositions in central England. These include young (14-year-old) intimate mixture plantations comprising up to 27 tree species, established with the explicit aim of improving carbon storage and forest resilience, alongside older planted stands and managed trees subjected to canopy pollarding. We measured heartwood and sapwood areas in 183 trees spanning ages from 11 to 120 years, using full stem cross-sections and increment cores. Heartwood boundaries were validated using ferrous sulphate staining and tylosis detection. Growth histories were reconstructed using tree-ring analysis, allowing estimation of lifetime mean growth rates, size-independent instantaneous growth rates, and post-disturbance growth resilience following the 2018 drought. Statistical analyses combined nonlinear allometric models, generalized additive models, and mixed-effects approaches to disentangle the roles of size, age, growth, management, and stress. Heartwood area increased strongly with stem diameter, explaining most of the variation among individual trees (R² ≈ 0.98), while age exerted an additional but secondary influence. For trees of similar diameter, older individuals consistently contained more heartwood, indicating that heartwood formation is not solely a function of size. Heartwood onset occurred early, with a 50% probability at a diameter of 8.5 ± 0.8 cm. Following onset, heartwood expansion accounted for an increasing fraction of total basal area increment, rising from approximately 40% in small trees to over 80% in large trees. Despite declining sapwood proportion with size, absolute sapwood area continued to increase, indicating sustained canopy development even in large trees. Both lifetime mean and size-independent instantaneous growth rates were positively associated with heartwood expansion, demonstrating that faster-growing trees consistently allocate more biomass to heartwood formation. In contrast, short-term growth suppression following drought or canopy pollarding did not reduce heartwood development. Trees with lower post-drought growth resilience and pollarded trees that had already initiated heartwood formation exhibited equal or greater heartwood proportions, suggesting a shift in allocation towards durable tissues under stress. Our results support a sapwood homeostasis mechanism linking growth, canopy function, and heartwood formation in Q. robur. Importantly, accelerated growth in mixed-species plantations does not compromise heartwood development and may enhance long-term carbon residence times through earlier and greater heartwood accumulation. These findings provide mechanistic evidence that climate- and biodiversity-smart forestry strategies based on species mixtures and productivity gains can simultaneously support resilience and long-term carbon storage in temperate hardwood systems.

How to cite: Barcante Ladvocat Cintra, B., Blowfield, H., Anderson, O., and Bradwell, J.: Growth-driven heartwood formation in oak: evidence across monocultures and mixed-species plantations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12998, https://doi.org/10.5194/egusphere-egu26-12998, 2026.

EGU26-15546 | ECS | Posters on site | BG8.5

Macrofungal Diversity in the Proposed Taiwan Red Cypress Conservation Area: New Records and a Baseline for Conservation Assessment 

Wen-wei Hsiao, Yuan-Cheng Xu, Cheng-Che Wen, and Chieh-Yin Chen

Biodiversity preservation is a critical component of the Sustainable Development Goals (SDGs), especially in the face of accelerating climate change and its impacts on forest ecosystems. Macrofungi, particularly ectomycorrhizal species, play essential ecological roles in nutrient cycling, carbon sequestration, and maintaining forest health. This study surveyed macrofungal diversity from May to November 2025 in the proposed Taiwan Red Cypress Ecological Conservation Area. The sampling site was located near the Lulin Formosan Cypress, along the Alishan Road. This area is a natural high-elevation forest dominated by Chamaecyparis formosensis, Quercus tatakaensis, Pasania kawakamii, Prunus campanulata, and Phellodendron amurense var. wilsonii. Fungal identification was based on morphological characteristics and molecular analyses, including sequencing of the internal transcribed spacer (ITS) and large subunit (LSU) regions. For selected taxa, additional gene loci such as rpb2 and tef1-α were sequenced to perform multi-locus phylogenetic analysis. In total, 100 fungal taxa were identified, comprising 22 Ascomycetes and 78 Basidiomycetes. Among these, 94 macrofungal species were newly recorded for the conservation area, and 8 were new records for Taiwan, indicating high fungal diversity and ecological significance. Many of the recorded taxa are ectomycorrhizal fungi associated with dominant tree species in the area. The results provide valuable baseline data for understanding the responses of fungal communities to environmental changes and support long-term monitoring and conservation planning in high-elevation Taiwanese forests.

How to cite: Hsiao, W., Xu, Y.-C., Wen, C.-C., and Chen, C.-Y.: Macrofungal Diversity in the Proposed Taiwan Red Cypress Conservation Area: New Records and a Baseline for Conservation Assessment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15546, https://doi.org/10.5194/egusphere-egu26-15546, 2026.

Climate change transforms national park ecosystems, affecting wildlife and visitors alike. Systematic and flexible management strategies are needed to address varying climate impacts. This study established two conservation objectives—biodiversity conservation and forest hazard management—for climate adaptation in Palgongsan National Park, Daegu, South Korea, applying the RAD(Resist-Accept-Direct) framework.

We identified actionable measures: biodiversity conservation through "habitat refugia establishment and management" and "structural diversity enhancement"; forest hazard management via "fuelbreaks establishment," "thinning and pruning," and "trail relocation". Spatial machine learning models identified biodiversity priority zones and fire-vulnerable areas. RAD adaptation levels were assigned to each zone, visualizing intervention outcomes.

Spatial analysis identified priority zones for adaptation measures. Single intervention-single adaptation level suits some areas, while multiple interventions-multiple adaptation levels are optimal elsewhere. This demonstrates that intervention types and combinations vary systematically by conservation objectives and local characteristics.

The RAD framework proves effective for national park climate adaptation strategy development. Proposed spatial priorities and intervention combinations provide a scientific basis to enhance existing management plans. Continuous monitoring and stakeholder collaboration are essential post-implementation.

How to cite: Lee, J., Mo, Y., and Jeong, G.: Developing Climate Change Adaptation Pathways Considering Biodiversity and Forest Hazards: A Case Study of Palgongsan National Park, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16504, https://doi.org/10.5194/egusphere-egu26-16504, 2026.

EGU26-16616 | ECS | Orals | BG8.5

Soil respiration across a managed forest chronosequence in southern Sweden 

Erica Jaakkola, Tobias Biermann, Lena Ström, Patrik Vestin, and Anders Lindroth

Soil respiration is a major pathway by which terrestrial carbon returns to the atmosphere, although knowledge about its variation across forest stand age classes is limited. Forest stand age is considered a key factor influencing forest-floor CO2 fluxes, however, previous studies report contrasting patterns for heterotrophic respiration – ranging from no effect to increases with age. Improving our understanding of these dynamics is essential for reducing uncertainties in forest carbon balance and informing sustainable management strategies.

We present ongoing work based on manual chamber measurements of CO₂ efflux across ten managed Norway spruce forest stands in northeastern Skåne, Sweden, spanning a chronosequence from recent clear-cut to mature stands (0 to ~120 years). Monthly measurements began in summer 2024 to capture seasonal cycles across all stands, providing a unique dataset to explore how forest development influences soil respiration. Each stand includes untreated reference plots and root-exclusion treatments, enabling future partitioning of autotrophic and heterotrophic respiration. Preliminary results indicate differences among age classes, with younger stands exhibiting higher summer CO2 fluxes compared to older stands, although variability remains high. These patterns may reflect differences in root contribution, soil organic matter pools and microclimatic conditions across the chronosequence.

This study is part of a larger research effort aimed at identifying the stand age at which optimum carbon uptake occurs and evaluating rotation forestry against alternative management practices, such as continuous cover forestry. By contributing empirical observations from a managed forest landscape, this study also aims to reduce uncertainties in carbon flux estimates and support improved parameterization of vegetation models. Ultimately, these findings will inform assessments of forest carbon balance and, in turn, support policy and climate mitigation strategies and offer insights relevant to harvest planning and stand rotation decisions.

How to cite: Jaakkola, E., Biermann, T., Ström, L., Vestin, P., and Lindroth, A.: Soil respiration across a managed forest chronosequence in southern Sweden, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16616, https://doi.org/10.5194/egusphere-egu26-16616, 2026.

EGU26-17473 | ECS | Posters on site | BG8.5

Upwind moisture sources shape drought vulnerability of major forest carbon stocks 

Lisa Grof, Lucie Bakels, Davide Zanchettin, Arie Staal, and Lan Wang-Erlandsson

Forest-based climate mitigation depends on the long-term stability of forest carbon uptake, yet resilience under shifting hydroclimatic conditions remains uncertain. While forest management and reporting largely operate within national borders, forest water supply is regulated by atmospheric moisture transport across large and often transboundary source regions. This creates a scale mismatch between governance structures and the physical processes that sustain carbon sequestration.

We develop a global framework linking (i) governance-relevant sink units (countries) with (ii) physically defined upwind moisture source regions to assess the hydroclimatic vulnerability of major forest carbon stocks. Large forest carbon stocks are mapped from satellite-based aboveground biomass products, and hydroclimatic stress is quantified using drought indices alongside carbon-uptake proxies. Areas are classified as vulnerable where increasing drought stress co-occurs with weakening carbon uptake signals over recent decades.

Using an Eulerian atmospheric moisture tracking model (WAM2layers), we quantify each sink region’s seasonal dependence on terrestrial versus oceanic upwind moisture sources and the spatial concentration of key source areas. Initial results indicate strong geographic and seasonal variation in upwind moisture dependence, showing that atmospheric teleconnections can influence drought exposure of forest carbon sinks beyond national boundaries.

How to cite: Grof, L., Bakels, L., Zanchettin, D., Staal, A., and Wang-Erlandsson, L.: Upwind moisture sources shape drought vulnerability of major forest carbon stocks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17473, https://doi.org/10.5194/egusphere-egu26-17473, 2026.

EGU26-18800 | ECS | Posters on site | BG8.5

Understanding Forest Resilience to Drought through Resilience Principles 

Sara Anamaghi, Massoud Behboudian, and Zahra Kalantari

With the intensification of climate change and anthropogenic activities, water scarcity and drought have become critical challenges around the world, threatening various ecosystems, particularly forests. Forests are social-ecological systems that provide numerous services to humans, who, in return, alter them. While it is impossible to prevent droughts, understanding the attributes of forests, particularly their resilience, may facilitate the mitigation of drought-related adverse consequences. Resilience is a multifaceted concept that has been interpreted through various lenses in the literature, with engineering resilience emphasizing system recovery, ecological resilience investigating the adaptive capacity of forests, and social-ecological resilience highlighting the interconnectedness of human and natural systems in resilience assessment.

Building on these conceptual foundations, seven principles of resilience, maintaining diversity and redundancy (P1), managing connectivity (P2), managing slow variables and feedback (P3), fostering complex adaptive system thinking (P4), encouraging learning and experimentation (P5), broadening participation (P6), and promoting polycentric governance (P7) offer a comprehensive approach to building, evaluating, and enhancing resilience. This review aims to investigate the extent to which resilience principles have been integrated into the discourse of forest resilience to drought in the literature.

Searching the Web of Science database for studies on forest resilience from 1998 to 2024 resulted in 47 papers. Among the reviewed studies, 51% investigated resilience through the lens of ecological resilience, 30% utilized the social-ecological concept, and 19% employed engineering resilience. P4 is frequently examined using tree ring data and drought severity indices (e.g., SPEI). Species richness and composition have often been considered to evaluate P1. A close examination of the methodologies of the reviewed studies revealed that 34% are evidence-based or conceptual studies aimed at understanding the mechanisms contributing to resilience, and 21% are experimental and field studies, which often involve the use of collected field data, such as tree ring width, vegetation growth rate, to explore the response of forest systems to natural or experimentally induced drought events.

The limited use of modeling, specifically landscape or ecosystem services models, in studying forest resilience to drought is evident, with only three studies conducted on this topic. Furthermore, the case studies are nearly evenly distributed across Africa, Europe, North America, and Asia, with 7, 10, 10, and 8 studies, respectively. Four studies investigated the resilience of forests in South America, and another four focused on a global scale. A closer exploration of the reviewed studies revealed that no studies have attempted to consider all seven resilience principles jointly, highlighting a significant research gap in this area and emphasizing the need for more studies to tackle the intricate relationships between ecosystems and human communities and societies.

How to cite: Anamaghi, S., Behboudian, M., and Kalantari, Z.: Understanding Forest Resilience to Drought through Resilience Principles, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18800, https://doi.org/10.5194/egusphere-egu26-18800, 2026.

EGU26-20201 | ECS | Posters on site | BG8.5

Estimating wildfire-driven forest carbon losses using dynamic fuels under managed and afforested forests in Europe 

Johanna San Pedro, Hyun-Woo Jo, Eunbeen Park, Andrey Krasovskiy, and Florian Kraxner

Wildfire projections for Europe depend not only on future climatic conditions, but also on how fuels evolve as forests age, are managed, and expand through afforestation. This study focuses on the dynamic fuel representation in FLAM by linking it with the forest model G4M in a coupled framework for EU27+UK. The coupling provides scenario-consistent, annually updated fuels (from live biomass, deadwood, and litter) from G4M to FLAM, and FLAM returns burned area used to update forest carbon trajectories and fuels in G4M in the following year.

FLAM runs on a 0.5° grid with daily time steps and simulates ignition, spread, and burned area as a function of climate, fuel loads, vegetation type, and human influence. Daily temperature, precipitation, relative humidity, and wind speed are taken from ISIMIP3b bias-adjusted CMIP6 forcings (UKESM1-0-LL and GFDL-ESM4). Fuels from G4M are divided into “old” fuels (pre-2000 managed forests) and “new” fuels (post-2000 afforested forests). The combined fuel load in each grid cell is updated dynamically using the effective burned ratio, so cells with higher burned ratios increasingly draw fuel from unburned stands, while low burned-ratio cells remain dominated by managed forest fuels.

To limit repeated burning within grid cells, an annual burned ratio approach is used to reduce the effective burnable fraction where only the remaining unburned forest area can burn. To avoid unrealistic permanent fuel depletion, a recovery function reduces the effective burned ratio toward zero (parameterized with a = 0.65 over b = 25 years), implying roughly 4% of the remaining burned ratio is removed annually, consistent with multi-decadal stand recovery times and typical rotation lengths in European managed forests. Assumptions include successful regeneration after stand-replacing fires and no change in species composition.

FLAM is calibrated and validated with historical forest burned area observations showing moderate correlation (monthly correlation r ≈ 0.63; annual r ≈ 0.59). Projections for SSP1-2.6, SSP2-4.5, SSP3-7.0 show cumulative burned area of roughly ~27–35 Mha and wildfire-driven biomass carbon losses of ~290–360 Mt C. The presentation will show how this dynamic fuel coupling changes projected wildfire outcomes and what it implies for forest carbon and biomass supply.

 

How to cite: San Pedro, J., Jo, H.-W., Park, E., Krasovskiy, A., and Kraxner, F.: Estimating wildfire-driven forest carbon losses using dynamic fuels under managed and afforested forests in Europe, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20201, https://doi.org/10.5194/egusphere-egu26-20201, 2026.

EGU26-21208 | Orals | BG8.5

Involving stakeholders in forest management decisions 

Svein Solberg, Benoit de Guerry, Barry Gardiner, Jan Krejza, Luna Morcello, Jarosław Socha, Luiza Tymińska-Czabańska, Alberto Vilagrosa, and Merlin Morgane

Forests are providing a wide range of ecosystem services, including timber production, sequestration and storage of carbon. The need to balance timber production goals against the maintenance of the other ecosystem services requires careful selection of forest management strategies. In addition, the management needs to ensure forest resilience, because extreme storms, prolonged droughts, pest outbreaks and wildfires may increasingly  affect forest productivity and stability across Europe, challenging the suitability of traditional management approaches.

However, forests are multifunctional socio-ecological systems and management decisions are not solely based on science. They need to consider preferences, values and politics of diverse actors such as public administrations, forest owners and managers, and environmental organizations. In the European research project ClimbForest, WP5, we have sought to achieve this by involving stakeholders in five categories: forest owners, forest industry, forest biodiversity, forest protection recreation and public forest officers. To capture the ranges in biogeography, forest types, management traditions, socio-ecological diversity and as well climate-related challenges such as drought, wildfire, storm and pests in Europe, we established such groups over a north–south and inland-coast gradients by having one group from each of the countries Spain, France, Czechia, Poland, and Norway.

We have activated the stakeholders by structured questionnaires and in situ field visits. The stakeholders have travelled together with the WP5 researchers visiting predefined forest sites in their five countries.  In each site, local foresters and other experts familiar with local conditions gave an overview of local forest conditions. In each site, we activated the stakeholders by asking them to come up with their recommended forest management. This was first done within each stakeholder category, followed by plenary discussions where the groups might want to adjust their recommendations and possibly end up with consensus solutions across groups. The recommendations should include the main options: tree species and forest management type, i.e. rotation or continuous cover (CCF). If they recommend rotation forestry, they needed to specify initial stand density (after pre-commercial thinning), number, type and strength of thinning, final stand density and type of final felling (clear cut, retention harvesting, seed tree harvesting or shelterwood logging). If they recommend CCF, they should specify frequency (years) and specification of logging strength. For this work we provided them with paper forms containing these options, i.e. the “forest management toolbox”. 

We supplement the recommendations on forest management from the stakeholder by running simulation of long-term forest development. This includes forest growth and the probability of certain forest damage. The models are process-based, empirical forest models, i.e. mainly the LPJ-Guess model followed by calculation of certain ecosystem service indicators. This provides understanding of the performance of the recommendations about a range of ecosystem services and as well the vulnerability towards major forest disturbance, and context-specific trade-offs between productivity, conservation, and risk reduction. When these simulations are completed, we will gather the stakeholders and give them the option to reassess and possibly change their recommendations.

Overall, our work combines participatory approaches with model-based simulations to identify future forest management.

How to cite: Solberg, S., de Guerry, B., Gardiner, B., Krejza, J., Morcello, L., Socha, J., Tymińska-Czabańska, L., Vilagrosa, A., and Morgane, M.: Involving stakeholders in forest management decisions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21208, https://doi.org/10.5194/egusphere-egu26-21208, 2026.

EGU26-21839 | Posters on site | BG8.5

Exploring ecosystem-based adaptation under climate change in different European forests 

Maximiliano Costa, Marc Djahangard, Martin Vollmer, Cosmin Coșofreț, Goran Krsnik, Lana Kukobat, Liang Chen, and Harald Bugmann

Sustainable forest management and ecosystem-based adaptation are essential for maintaining ecosystem service (ES) functionality under climate change. We apply the spatially explicit, process-based dynamic model LandClim, which incorporates the effects of major natural disturbances (e.g., wind, fire and bark beetle outbreaks), to assess how different climate change scenarios (e.g., RCP 4.5 vs. RCP 8.5) and forest management strategies influence the future provision of ecosystem services in multiple and climatically as well as ecologically different European forests. Simulations are initialized using detailed forest inventory data. The study is conducted across six European Living Labs, where simulation scenarios and management strategies are co-developed in close collaboration with local stakeholders. We investigate how alternative management strategies can balance ecosystem service provision as forest dynamics evolve under changing climatic conditions. Natural disturbances and their shifting regimes are explicitly accounted for in the analysis. This study supports the development of more resilient forest management strategies, enhancing the sustainability of ES provision and facilitating adaptation to climate change.

How to cite: Costa, M., Djahangard, M., Vollmer, M., Coșofreț, C., Krsnik, G., Kukobat, L., Chen, L., and Bugmann, H.: Exploring ecosystem-based adaptation under climate change in different European forests, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21839, https://doi.org/10.5194/egusphere-egu26-21839, 2026.

EGU26-21852 | ECS | Posters on site | BG8.5

Predicting forest loss risk for deforestation regulation using Convolutional Neural Networks 

Nielja Knecht, Ingo Fetzer, and Juan Rocha

The EU Deforestation Regulation (EUDR) aims to reduce embedded deforestation in certain commodities imported into the European Union by requiring companies to prove that products are deforestation-free. Here, the level of due diligence obligations required is based on the overall risk score assigned to a specific country of origin. The first version of these risk scores, published last year, aims to reflect past deforestation rates and governance risks. However, the scores have been widely criticized by political and environmental advocacy groups for being politically motivated rather than representative of real deforestation risks, and for being too coarse in their national scale and commodity-invariant design. Hence, we here provide an additional, high-resolution, spatially explicit perspective on deforestation risk for the upcoming year. Using Convolutional Neural Networks (CNNs) and spatiotemporal data on past forest losses, landscape characteristics, and human development, we compute global risk maps for different drivers of forest loss, including deforestation for different commodities. With this analysis, we aim to complement the existing EUDR risk scores by highlighting sub-national variation and driver-specific risk patterns. We aim to contribute a transparent, data-driven perspective to ongoing discussions on deforestation risk in international policy processes.

How to cite: Knecht, N., Fetzer, I., and Rocha, J.: Predicting forest loss risk for deforestation regulation using Convolutional Neural Networks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21852, https://doi.org/10.5194/egusphere-egu26-21852, 2026.

EGU26-196 | ECS | Orals | NH7.1

 Identification and mapping fire danger zones using modeling 

Abiola B. Adewuyi and Anna Barbati

Mediterranean ecosystems face escalating wildfire challenges as climate change intensifies extreme temperature conditions across Southern Europe, making fire danger zone identification increasingly critical for ecosystem management. This research develops a satellite-based modeling framework integrating spatial analysis techniques to comprehensively map fire danger zones across Sicily's Messina province. The study focuses on this fire-prone region where the convergence of fuel availability, multiple ignition sources, and extreme environmental conditions create favorable scenarios for wildfire events. This methodology employed European Forest Fire Information System data spanning the period 2012-2024 (excluding 2015 due to data unavailability) to analyze wildfire patterns across Messina's 326,689 hectares. The research implemented a six-step analytical framework: temporal binary coding for fire occurrence pattern identification, multi-layer spatial union of administrative and burned boundaries, raster conversion with cumulative summation, integrated forest type mapping, coordinate reference system standardization, and comprehensive vegetation-based area calculations. This methodological approach achieved high spatial accuracy while ensuring analytical consistency across heterogeneous landscape types. Results reveal substantial wildfire impact across the study region, with 30,654 hectares affected representing 9.38% of Messina's total area. Fire frequency analysis demonstrated a significant increasing trend, growing from 64 events in 2012 to 382 events in 2023. Spatial analysis identified 1,470 distinct fire events distributed throughout the provincial area. Vegetation impact analysis revealed differential vulnerability patterns, with agricultural lands most affected (34.84% of burned area), followed by Mediterranean maquis (25.88%) and oak forests (19.98%). Mountain pine forests exhibited the highest reburn vulnerability (35.32%), while beech forests demonstrated complete resistance to repeated burning. The modeling approach has so far successfully identified fire danger zones and vulnerability patterns across Messina's diverse ecosystem types, providing valuable data for targeted fire prevention strategies and ecosystem restoration priorities. This research contributes important insights to fire danger zone mapping and establishes a methodology applicable to similar wildfire-prone region across Southern Europe.

Key words: Fire danger zones, Spatial modeling, Mediterranean ecosystems, Burn frequency, Vegetation vulnerability

How to cite: Adewuyi, A. B. and Barbati, A.:  Identification and mapping fire danger zones using modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-196, https://doi.org/10.5194/egusphere-egu26-196, 2026.

EGU26-529 | ECS | Orals | NH7.1

Defining climatic drivers for the prediction of summer wildfires in northern Italy 

Alice Baronetti, Paolo Fiorucci, and Antonello Provenzale

Wildfires are natural phenomena affecting ecosystems and causing negative impacts on human health and biodiversity. In the Mediterranean region, wildfire regimes are strongly influenced by local climatic conditions, leading to pronounced inter and intra-annual variability in wildfire occurrence.

Owing this link, the study explores for the first time the climatic drivers influencing the monthly burned area (BA) during the summer fire season (May - September) in northern Italy at the three scales of spatial resolution: 0.11, 0.25 and 0.50 degrees. We then build multi-regression data-driven models to define the main BA predictors for the investigated area. The summer monthly percentages of burned area at the three resolution for the 2008-2022 period were derived from the GPS-based BA perimeters. A total of 150 daily precipitation and maximum and minimum ground station series were collected, converted at monthly scale, reconstructed, homogenised and spatialised at 0.11°, 0.25° and 0.50° resolution using the Universal Kriging with auxiliary variables. Several climatic indices were subsequently computed for precipitation, temperature and drought. To identify the best BA predictors, we first performed the Pearson’s correlation test, for each pixel, between the monthly BA series and the climatic indices calculated for three different aggregation periods: concurrent summer (2008-2022), 6 months before the fires (winter 2007-2021) and 12 months before the fires (summer 2007-2021). Multilinear regressions models were computed using every possible combination of the best predictors. The best regression models were selected through an out-of-sample procedure, and the model performance was tested by comparing the predicted BA with the observed data, estimating explained variance and correlation. Finally based on the CORINE Land Cover map, the vegetation classes that were most susceptible to wildfires, and their typical elevation ranges, were identified.

This study shows that summer fires in northern Italy are concentrated in July and August and are predominantly located in the southern part of the study area, at elevations between 100 and 600 m a.s.l. In particular, the lower rates of the Ligurian and Tuscan Apennines exhibit a fire return period of 1 to 2 years, in contrast to the Alps, where it exceeds 6 years. Sclerophyllous, Sparse, and Open Forests appear to be the vegetation classes most susceptible to fire in these fire-prone regions. Modelling results for the 2008–2022 period indicate that the most accurate predictions were performed at 0.11° of resolution and fires are driven by drought conditions caused by water stress than by high temperatures. Indeed, the most significant predictors of burned area were the two drought indices and water balance, recorded both for the current period (June to July) and for the preceding 6 months period (December to March).

How to cite: Baronetti, A., Fiorucci, P., and Provenzale, A.: Defining climatic drivers for the prediction of summer wildfires in northern Italy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-529, https://doi.org/10.5194/egusphere-egu26-529, 2026.

EGU26-1102 | ECS | Posters on site | NH7.1

Wildfire Severity and Post-Fire Hydrological Responses in a Central Himalayan Watershed: Integrating Remote Sensing and SWAT 

Biswajit Das, Shailja Mamgain, Arijit Roy, Ashutosh Sharma, Sumit Sen, and Sandipan Mukherjee

Wildfires critically alter hydrological regimes in Himalayan watersheds, yet their quantitative impacts remain poorly understood. This study integrates remote sensing–derived burn severity data with the SWAT model to assess postfire hydrological responses in the Central Himalayan Kosi River Basin (2013–2019). Burn severity information derived from Landsat-8 Operational Land Imager (OLI) imagery was used to update leaf area index (LAI) and curve number (CN) parameters within SWAT model to represent fire-induced surface modifications. The model showed satisfactory performance (R² = 0.67 calibration; 0.66 validation). Results indicated that extensive burns, particularly in 2013 and 2016, increased surface runoff by 20–34% and water yield by 13–20%, while reducing evapotranspiration by 17–24% and recharge by up to 7%. The findings highlight that Subbasin 16 experienced repeated moderate-to high-severity burns throughout 2013–2019 and exhibited the most intense and consistent fire effects. This subbasin is hydrologically more sensitive and likely contribute disproportionately to surface runoff and erosion during postfire periods. Therefore, targeted reforestation and soil stabilization efforts should be prioritized to reduce postfire runoff and erosion. These findings collectively emphasize ongoing postfire hydrological changes caused by vegetation loss and soil degradation, highlighting the importance of remote sensing–SWAT integration for postfire watershed management amid rising wildfire frequency.

How to cite: Das, B., Mamgain, S., Roy, A., Sharma, A., Sen, S., and Mukherjee, S.: Wildfire Severity and Post-Fire Hydrological Responses in a Central Himalayan Watershed: Integrating Remote Sensing and SWAT, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1102, https://doi.org/10.5194/egusphere-egu26-1102, 2026.

EGU26-2007 | ECS | Orals | NH7.1

Spatial Resolution Enhancement of Geostationary Thermal Observations for Wildfire Monitoring 

Anna Zenonos, Jean Sciare, Constantine Dovrolis, and Philippe Ciais

Wildfires represent one of the most critical threats to Mediterranean forests, making timely detection and continuous monitoring a priority for risk mitigation and environmental management. Despite significant advances in satellite-based fire monitoring, current approaches remain constrained by a fundamental trade-off between spatial and temporal resolution in available remote sensing data. Geostationary satellite systems offer high-frequency observations that are well suited for near-real-time monitoring, yet their coarse spatial resolution limits their effectiveness for applications requiring fine-scale spatial detail. Addressing this limitation is particularly relevant for wildfire monitoring, where early-stage events often occur at small spatial scales. In this presentation, we introduce a learning-based framework for spatial resolution enhancement of high-temporal infrared satellite observations. The approach explores multiple model families, including autoencoder-based architectures, residual channel attention networks, and generative models such as neural operator diffusion, to reconstruct fine-scale thermal structure from coarse measurements while preserving temporal consistency. The best model configurations are tested in the context of wildfire monitoring, using higher-resolution thermal products from NASA VIIRS as reference data. Results indicate improved representation of fire-related signals, with implications for better early detection and monitoring applications. Detailed methodological developments and quantitative evaluations will be presented in a forthcoming publication.

How to cite: Zenonos, A., Sciare, J., Dovrolis, C., and Ciais, P.: Spatial Resolution Enhancement of Geostationary Thermal Observations for Wildfire Monitoring, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2007, https://doi.org/10.5194/egusphere-egu26-2007, 2026.

As one of the key links in maintaining the balance of ecosystems, natural fires in nature are often extensive and unpredictable. When they get out of control and turn into wildfires, the threats they pose to ecosystems, the atmospheric environment, and human health are incalculable. Fires lead to a continuous reduction in forest coverage, while a large amount of harmful gases produced by forest combustion are emitted into the atmosphere. This causes enormous harm to the ecological environment, economic development, and the safety of human lives and property. Therefore, timely and accurate detection of forest fires, as well as grasping specific characteristics such as the exact occurrence time, location, and spatiotemporal evolution of fires, helps to explore the causes and patterns of fires, and is of great significance for the sustainable management of forests supported by fire prevention management.

This study proposes a novel fire detection algorithm integrating spatiotemporal information, utilizing data from Himawari-8, a next-generation geostationary satellite. By combining contextual information and a dynamic threshold detection method, the algorithm achieves real-time detection and scientific prediction of fire points through improving the slope deviation of infrared channels. A forest fire that occurred in Yuxi City, Yunnan Province, from April 11 to April 15, 2023, was selected as a research case for fire detection analysis. The results demonstrate that the proposed fire point detection method reduces edge false detections compared to WLF, the official fire point product of Himawari-8. Meanwhile, it shows significantly higher recognition accuracy and a notably lower false detection rate than the pre-improved algorithm.

The experimental results show that this improved forest fire detection algorithm can quickly and effectively detect fire point information. Compared with the pre-improved algorithm, it has higher detection accuracy. Meanwhile, the improvement of infrared gradient provides new ideas and methods for realizing effective disaster situation monitoring.

How to cite: Xue, Y.: A Novel Spatiotemporal Fire Detection Algorithm Based on Himawari-8 Satellite Data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2348, https://doi.org/10.5194/egusphere-egu26-2348, 2026.

EGU26-3053 | ECS | Orals | NH7.1

Development of an Integrated Static Fire Risk Index for Cyprus Utilizing Tree-Based Ensemble Classifiers: A Soft-Voting Approach 

Venkata Suresh Babu, Apostolos Sarris, and Dimitris Stagonas

Accurate wildfire risk assessment is essential for disaster mitigation and landscape management, particularly in Mediterranean ecosystems. A number of wildfire risk maps for Cyprus use expert-driven indices, single-model statistical methods, and data from remote sensing. However, there is currently no standardized, high-precision Fire Risk Index (FRI) that comprehensively considers multiple risk factors and provides accurate, consistent predictions across different areas. This study introduces an innovative multi-stage machine learning framework designed to develop a comprehensive Static Fire Risk Index (FRI) for Cyprus. The methodology consists of two primary phases: the creation of four thematic sub-indices and their subsequent integration through an ensemble meta-modeling approach. More specifically, a topographic risk index was derived from derivatives of an EU Digital Elevation Model (DEM) (25 m spatial resolution), namely slope, elevation, aspect, plane curvature, and classification of landforms. A vegetation-moisture risk index was generated using multi-temporal satellite imagery from Landsat 8 and 9 to calculate the Leaf Area Index (LAI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Normalized Difference Moisture Index (NDMI). Fuel flammability index was assessed using a comprehensive vegetation type map, while an anthropogenic risk index included factors such as population density, proximity to roads, transmitter stations, picnic sites, power lines, and built-up regions to address human-induced fire risks. The historical fire location data from 2015 to 2024 were extracted from VIIRS sensors to facilitate the development of machine learning models. Initially, four thematic fire risk indices were generated: Fuel Flammability, Vegetation Moisture, Topography, and Anthropogenic Risk. These indices were subsequently standardized into five ordinal fire danger classes, ranging from 1 (Very Low) to 5 (Very High).


To determine the most effective integration strategy, eight distinct machine learning architectures were benchmarked: Random Forest (RF), XGBoost, LightGBM (LGBM), Decision Trees (DT), Support Vector Machines (SVM), Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), and Logistic Regression (LR). Model bias and uncertainty were assessed using cross-validation with historical fire occurrences, along with an examination of prediction residuals and spatial error patterns. The performance evaluation, which focused on accuracy (83%) and Area Under the Curve (AUC) (0.87), revealed that tree-based ensemble models (RF, XGBoost, LGBM, and DT) significantly outperformed both baseline and kernel-based algorithms. Consequently, these four top-performing models were chosen for the final fusion stage.


A "Soft Voting" ensemble method was used to combine the predictions of the chosen models. This approach involved pixel-wise averaging of fire occurrence probabilities, which effectively minimized individual model bias and improved spatial stability. The resulting continuous probability map was then reclassified into five distinct threat classes using the Jenks Natural Breaks optimization method. Validation against historical fire data demonstrated that this consensus-based methodology provides superior predictive reliability in comparison to single-algorithm models. The final Fire Risk Index (FRI) map acts as a high-resolution decision-support tool, allowing fire management authorities to prioritize resources in high-vulnerability zones through a mathematically robust and standardized classification system.

How to cite: Suresh Babu, V., Sarris, A., and Stagonas, D.: Development of an Integrated Static Fire Risk Index for Cyprus Utilizing Tree-Based Ensemble Classifiers: A Soft-Voting Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3053, https://doi.org/10.5194/egusphere-egu26-3053, 2026.

EGU26-3099 | ECS | Posters on site | NH7.1

Understanding the drivers of wildfires using JULES model simulations and machine learning emulators 

Limeng Zheng, Robert Parker, Zhongwei Liu, Darren Ghent, Douglas Kelley, and Chantelle Burton

Fires play a critical role in shaping ecosystems, driving biogeochemical cycles, and influencing atmospheric composition. In many regions historically affected by fire, the frequency, intensity, and size of fires have undergone rapid change in recent decades, especially in high-latitude forests. Meanwhile, wildfire extremes are now emerging across many of the world’s forests and fire-sensitive ecosystems including regions such as the Amazon, Congo, Indonesia, and the Pantanal. Many of these ecosystems have evolved with little or no fire, increasing the impacts of these fires’ potential risk of climate-driven tipping points. It is therefore essential to accurately represent wildfire dynamics within Earth system models to quantify their influence on carbon–climate feedbacks and predict ecosystem responses, including potentially rapid and irreversible ones, to environmental change.

Modelling and understanding wildfires processes remain challenging due to complex interactions among climate, vegetation, human activity, and land-use change. The Joint UK Land Environment Simulator (JULES) provides a robust framework for simulating the dynamics of terrestrial hydrology, vegetation, carbon storage, and the surface exchange of water, energy, and carbon. Complementary Machine Learning (ML) techniques allow development of model emulators, enabling large-scale data processing and quantification of model uncertainty for a comprehensive analysis of potential wildfire driving factors.

Here, we will present an ML-based emulator for the JULES-INFERNO model to: (1) Analyse and understand the key climatic drivers for wildfire, characterising recent trends (such as the size, frequency and intensity of wildfires) across JULES model simulations; and (2) Evaluate and identify the potential for monitoring early warning signals for tipping points by combining model simulations, remote sensing data and Artificial Intelligence. The analysis and evaluation will contribute to a better understanding for wildfire processes and provide comprehensive information for policy makers. 

How to cite: Zheng, L., Parker, R., Liu, Z., Ghent, D., Kelley, D., and Burton, C.: Understanding the drivers of wildfires using JULES model simulations and machine learning emulators, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3099, https://doi.org/10.5194/egusphere-egu26-3099, 2026.

EGU26-3365 | Orals | NH7.1

The OroraTech Wildfire Solution: Fire Management based on the Forest Satellite Constellation 

Lukas Liesenhoff, Johanna Wahbe, Veronika Pörtge, Dmitry Rashkovetsky, Max Bereczky, Kim Feuerbacher, Korbinian Würl, Martin Langer, and Julia Gottfriedsen

Fire regimes are changing in many parts of the world, with particularly notable shifts in Europe: Regions such as Scandinavia where wildfires historically played a limited role are increasingly experiencing wildfire activity, while parts of Southern Europe face worsening conditions. These developments strengthen the need for integrated information that supports decisions across the full disaster management cycle. OroraTech has developed an end-to-end wildfire product suite that combines satellite observations, numerical modelling, machine learning and AI to support wildfire preparedness, response, and recovery.

Before a fire occurs, the platform focuses on disaster preparedness through medium-range wildfire hazard forecasting up to one week in advance. These forecasts integrate meteorological drivers, fuel characteristics, and historical fire occurrence patterns using data-driven and physics-informed approaches to identify areas of elevated hazard. In addition, scenario-based fire spread simulations allow users to explore potential fire behaviour under varying ignition locations, environmental conditions, and mitigation measures such as fire breaks, enabling proactive planning and evaluation of response strategies.

During an active fire, the system provides operational support. Near real-time active fire detection is delivered via OroraTech’s proprietary thermal infrared satellite constellation, combined with detections from more than 30 additional satellite missions to maximise temporal coverage and robustness. These observations are used to update dynamic fire spread simulations, supporting tactical decisions such as fire break placement and resource allocation. Active fire intelligence is enriched with contextual layers including land cover, topography, and short-term weather forecasts, among others.

After containment, the product suite delivers burned area mapping to support impact assessment, reporting, and recovery planning. Providing consistent pre-, during-, and post-fire products within a single platform enables a continuous and coherent view of wildfire events, supporting stakeholders across the entire wildfire lifecycle.

How to cite: Liesenhoff, L., Wahbe, J., Pörtge, V., Rashkovetsky, D., Bereczky, M., Feuerbacher, K., Würl, K., Langer, M., and Gottfriedsen, J.: The OroraTech Wildfire Solution: Fire Management based on the Forest Satellite Constellation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3365, https://doi.org/10.5194/egusphere-egu26-3365, 2026.

EGU26-3663 | ECS | Orals | NH7.1

Weakened circulation yet stronger wildfires in Western North America 

Chunyang He, Huayu Chen, and Yimin Liu

Western North America (WNA) has emerged as a global wildfire hotspot. While quasi-stationary atmospheric blocking drives persistent fire-favorable conditions, synoptic recurrent Rossby wave packets (RRWPs) represent a critical but underexplored driver of wildfire extremes. This gap is deepened by an apparent paradox that synoptic-scale circulation is projected to weaken under climate change while extreme wildfires intensify. Here we jointly analyze transient RRWPs and quasi-stationary blocking to classify extreme wildfire events in WNA. We then assess how these changing circulation patterns translate into fire risk using a novel wildfire-triggering efficiency framework powered by machine learning. Our results show that RRWPs contribute to wildfire extremes at magnitudes comparable to blocking, together explaining nearly two-thirds of events. Blocking shows only weak changes and RRWPs clearly weaken in WNA, but their wildfire-triggering efficiency is strongly enhanced by thermodynamic amplification. Under SSP5–8.5, blocking-related extreme wildfires increase by 45.9% and RRWP-related events by 37.1% by 2100. These findings establish a more complete picture of circulation controls on wildfires and identify thermodynamics as the primary driver of increasing wildfire risk in a warming future.

How to cite: He, C., Chen, H., and Liu, Y.: Weakened circulation yet stronger wildfires in Western North America, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3663, https://doi.org/10.5194/egusphere-egu26-3663, 2026.

EGU26-4032 | ECS | Posters on site | NH7.1

Spatio-Temporal Projection of Forest Fire Risk in the Aegean and Mediterranean Basins of Türkiye (2026–2096) 

Cansu Aktaş and Emrah Tuncay Özdemir

The number of wildfires along the Mediterranean and Aegean coasts increases each year, impacting regional industries and ecosystems. In particular, the wildfire that occurred in Izmir, located in western Türkiye, on June 29-30, 2024, with peak temperatures exceeding 40°C and wind gusts reaching 22 m/s, spread to residential areas, resulting in the temporary closure of the city's airport and disrupting aviation operations. Therefore, predicting regional fire hazard risk based on meteorological data has become crucial, and many studies have been conducted in this area. The Canadian Fire Weather Index System (FWI) estimates forest fires based on the effect of fuel moisture and weather conditions. In this work, the risk of forest fires in Türkiye's Aegean and Mediterranean coastal regions has been estimated for future years using FWI data produced using high-resolution regional climate models supplied by the Copernicus Climate Change Service. The future years between 2026 and 2096 were compared under optimistic (RCP 2.6), moderate (RCP 4.5), and pessimistic (RCP 8.5) emission scenarios, with the 1971–2005 reference period. The results of this study showed that the number of extreme risk days (FWI > 45) increases from 50.48 days to 55.22 days (9.4% increase) under the RCP 2.6 scenario, to 57.26 days (13.4% increase) under the RCP 4.5 scenario, and to 61.71 days (22.2% increase) under the RCP 8.5 scenario when compared to the reference period. More significantly, according to the RCP 8.5 scenario, the risk level in coastal regions is estimated to reach 234.92 days annually, meaning that the risk of fires along the Aegean and Mediterranean coasts may last almost 65% of the year. In order to manage fire hazards in the Aegean and Mediterranean regions, where the risk of fire is extremely high, strategies that prioritize low-emission policies and carefully regulated tourism activitiesare crucial, as evidenced by the difference between RCP 2.6 and RCP 8.5 scenarios. The RCP 8.5 scenario also confirms that heat waves and altered precipitation patterns have increased the frequency and severity of these risks. These results indicate that the fire hazards will increase in the future, highlighting the importance of detailed information on fire risk assessment over the coastal areas of Türkiye’s Aegean and Mediterranean regions. In this context, the next phase of this study will focus on utilization of a Random Forest-based Inference Engine model to increase 12.5 km resolution of the EURO-CORDEX data to a 1 km spatial resolution in order to improve fire risk assessment. The model aims to identify non-linear wildfire risk patterns by correlating FWI components with local geographic features using an ensemble of decision trees. The proposed system is intended to operate as a Decision Support System (DSS) by automatically classifying extreme weather clusters, providing real-time resource allocation strategies.

How to cite: Aktaş, C. and Özdemir, E. T.: Spatio-Temporal Projection of Forest Fire Risk in the Aegean and Mediterranean Basins of Türkiye (2026–2096), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4032, https://doi.org/10.5194/egusphere-egu26-4032, 2026.

The prevailing paradigm is that recovery of post-fire soil-hydrologic properties is dominated by pedogenic processes that drive soil structure formation, a critical process for regaining soil hydrologic functioning. The primary drivers for soil structure formation are climate and vegetation required for soil biological activity. Evidence shows that following perturbations of agricultural soils (e.g., compaction) or abrupt land use change soil structure recovery may take years to decades. In contrast, measurements from post-fire soils show that recovery of critical soil hydrologic properties (notably soil saturated hydraulic conductivity) is rapid (generally within 1 to 3 yrs) and occur at rates faster than expected from soil structure regeneration. To reconcile the rapid post-fire recovery rates, we propose a new conceptual framework for recovery of post-fire soil-hydrologic properties driven primarily by accelerated erosion of the unstable and structureless pyrolyzed surface soil layer. In this framework, initial recovery occurs not by redeveloping new structure in the pyrolyzed surface soil layer, but rather by removing it, thus exposing minimally-affected sublayers as new soil surfaces. Based on wildfire characteristics, a typical depth of pyrolyzed soil layer is estimated to be a few centimeters (<5 cm) depending on fuel load, burning times and heat transport. A tentative peak temperature of 300 C (torrefaction limit) defines the extent of loss of binding organic carbon thus creating a fragile and easily transported layer by wind or water erosion. Examples of the proposed mechanism in several Western US post-fire landscapes will be presented with discussion of various landscape geomorphic controls (topography, post-fire rainfall, ash transport and more).

How to cite: Or, D. and W. McCoy, S.: Enhanced erosion of pyrolyzed soil surfaces drives rapid recovery of post-fire landscape hydrologic functions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4293, https://doi.org/10.5194/egusphere-egu26-4293, 2026.

Wildland fire smoke transport is governed by a complex interplay between fire heat release, atmospheric boundary layer (ABL) turbulence, synoptic forcing, and terrain. Despite substantial advances in coupled fire–atmosphere modeling, the role of the ambient, evolving ABL state in controlling plume rise and transport under realistic fire conditions remains insufficiently resolved, largely due to the extreme computational demands of event-scale large-eddy simulation (LES). This study addresses this gap by conducting a high-resolution LES of the atmospheric boundary layer over complex terrain during the Mosquito Wildland Fire (California, September 2022), followed by a plume simulation whose forcing is constrained by satellite observations.

We perform a multi-domain Weather Research and Forecasting (WRF-LES) simulation spanning 24 hours (08–09 September 2022) over the Sierra Nevada, capturing the diurnal evolution of boundary-layer depth, turbulence intensity, wind shear, and regime transitions under realistic synoptic and topographic forcing. The ABL simulation is validated against four ASOS surface stations and NOAA Twin Otter airborne observations, demonstrating accurate reproduction of near-surface thermodynamics and vertical wind shear. The results reveal pronounced transitions from convective to shear–buoyancy-driven regimes, strong inversion-layer shear, terrain-modulated low-level jets, and vertically coherent turbulent structures extending several kilometers above the surface.

Using the resolved ABL state at noon local time, we then simulate the release of a buoyant plume for one hour using an active-scalar LES formulation. The plume is represented as an idealized, steady circular heat source at the ground, with surface heat flux prescribed to match satellite-derived fire radiative power (FRP) from MODIS. This approach isolates the influence of the ambient ABL on plume evolution while maintaining physically realistic forcing. Independent evaluation against MISR stereo plume-height retrievals shows strong consistency between simulated and observed plume-top heights (~3–4 km), vertical gradients, wind shear, and downstream transport pathways. Importantly, MISR plume heights reflect time-integrated plume evolution over several hours of advection, allowing meaningful comparison with the short-duration LES plume simulation.

The results demonstrate that plume rise, vertical penetration, and horizontal transport are primarily controlled by the evolving ABL structure—specifically boundary-layer depth, inversion-layer shear, turbulent kinetic energy distribution, and terrain-induced flow modulation—once the fire heat release is constrained to realistic values. Sensitivity analysis shows that while plume source size and buoyancy magnitude influence near-source behavior, ABL regime and shear dominate plume fate at kilometer scales.

This study provides one of the first event-scale demonstrations that resolving the real atmospheric boundary layer under complex terrain is a prerequisite for physically meaningful wildfire plume simulation. By combining validated ABL LES with satellite-constrained plume forcing, the work establishes a robust foundation for future fully coupled fire–atmosphere modeling and advances understanding of two-way ABL–buoyancy interactions in wildfire environments

How to cite: Bhaganaagar, K.: Using Large-eddy-simulation at event-scale to evaluate the ABL-widllandfire-plume interactions of Mosquito Wildland Fire, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4562, https://doi.org/10.5194/egusphere-egu26-4562, 2026.

EGU26-4655 | ECS | Orals | NH7.1

Dry Lightning and Escalating Wildfire Risk in Northern Canada: The 2023 Extreme Fire Season and Future Projections 

Jinil Bae, Simon Wang, Jinho Yoon, and Rackhun Son

Recent wildfire extremes in northern Canada indicate a shift in lightning-driven ignition processes beyond episodic variability. This study examines the atmospheric conditions responsible for the increasing occurrence of dry lightning—cloud-to-ground lightning accompanied by negligible precipitation—across Yukon, the Northwest Territories, and Nunavut. By integrating cloud-to-ground lightning observations with ERA5 reanalysis, we identify a dominant thermodynamic configuration controlling dry-lightning frequency. Dry lightning increases most strongly when anomalously warm near-surface temperatures coincide with enhanced mid-tropospheric moisture (700–500 hPa), forming a pronounced vertical contrast. This structure supports deep convective electrification while limiting surface wetting through efficient sub-cloud evaporation. In contrast, conventional instability and wind-based indices exhibit limited explanatory power for long-term dry-lightning variability. The extreme 2023 wildfire season exemplifies this ignition-efficient configuration rather than representing a rare anomaly. Projections from the CMIP6 multi-model ensemble indicate that continued surface warming and increasing mid-tropospheric moisture will shift this thermodynamic state toward the climatological mean under future warming, particularly under high-emissions scenarios. A physically constrained regression framework suggests that dry-lightning occurrence may increase by more than 50% by the late 21st century. These findings demonstrate that northern Canada is transitioning toward a climate state in which lightning-induced wildfire ignitions are structurally favored. Accounting for evolving vertical thermodynamic conditions is therefore essential for anticipating future high-latitude wildfire risk.

Acknowledgement 
This work was funded by the Korea Meteorological Administration Research and Development Program under Grant RS-2024-00404042 and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS-2024-00343921). 

How to cite: Bae, J., Wang, S., Yoon, J., and Son, R.: Dry Lightning and Escalating Wildfire Risk in Northern Canada: The 2023 Extreme Fire Season and Future Projections, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4655, https://doi.org/10.5194/egusphere-egu26-4655, 2026.

EGU26-4913 | ECS | Orals | NH7.1

An AI-driven approach to enhancing wildfire representation and climate feedbacks in the UVic-ESCM v2.10 

Olivier Chalifour, Julien Boussard, and Damon Matthews

Wildfire trends vary by region and are influenced by climate, vegetation, and human activity. Regional trends over the past 20 years have varied, though overall have driven a 60% increase in global wildfire carbon emissions, primarily from carbon-dense boreal forests. In addition to releasing carbon, wildfires alter surface albedo, aerosols, and vegetation dynamics, producing complex climate feedbacks. Representing patterns and quantities of burned areas across the globe is thus crucial to accurately predict future climate, but is difficult due to the nonlinear and spatially heterogeneous nature of wildfire drivers. In this work, we develop an artificial intelligence (AI)-based model to predict patterns and quantities of burned areas across the globe,  with the goal of integrating it within the University of Victoria Earth System Climate Model (UVic-ESCM v2.10). Our model consists of a deep neural network trained with a new custom, spectral-based loss function (DNN-FFTLoss). We compare it with deep neural networks trained with a mean-square error loss function (DNN-MSE) and random forests (RF), using a consistent set of climate and vegetation predictors from the UVic-ESCM v2.10.Training is performed using climate and vegetation predictors from CMIP6 simulations (1850–2100, including multiple Shared Socioeconomic Pathway (SSP) scenarios) alongside satellite-based Global Fire Emissions Database (GFED) 4 burned area observations (2001–2015). Transfer learning is then performed using the GFED4 dataset to impose observational constraints, reduce biases, and improve burned area predictions and the representation of fire-climate interactions. A comparison with the independent test year (2014) reveals that the DNN-FFTloss more accurately reproduces the spatial and seasonal variability of global burned area than the DNN-MSE and RF. However, the DNN-FFTloss still exhibits regional biases, overestimating burned area in Northern and Southern Africa and Australia and underestimating it in Europe. Nevertheless, these discrepancies are reduced relative to the other architectures. Additionally, the global cumulative density function of burned area is best captured by the DNN-FFTloss, indicating improved representation of both high- and low-burn regions. All model configurations show reduced skill temporally during the spring transition (e.g., March-April), when global Pearson correlations drop to 0.3 for the DNN-MSE model and 0.6 for the DNN-FFTloss model. Overall, the DNN-FFTloss better represents the global behaviour of wildfire burned area and will provide new insights into how climate change alters wildfire regimes and their impact on terrestrial carbon storage.

How to cite: Chalifour, O., Boussard, J., and Matthews, D.: An AI-driven approach to enhancing wildfire representation and climate feedbacks in the UVic-ESCM v2.10, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4913, https://doi.org/10.5194/egusphere-egu26-4913, 2026.

EGU26-5436 | ECS | Orals | NH7.1

Quantifying the current and future likelihood of the 2022 extreme wildfires weather conditions in France with anthropogenic climatechange 

Shengling Zhu, Renaud Barbero, François Pimont, and Benjamin Renard

In 2022, southwestern France experienced an exceptional fire season, with a burned area 14 times higher than the 2006–2023 average. Here, we assess how unusual were the fire weather conditions observed during wildfires of different sizes and how anthropogenic climate change (ACC) has altered —and will further alter— the probability of fire-weather conditions associated with the top-3 largest fires in 2022 (Landiras-1: 12,552 ha; Landiras-2: 7,124 ha; La Teste-de-Buch: 5,709 ha).

To do so, we used the daily Fire Weather Index (FWI) computed from the SAFRAN reanalysis (Système d’Analyse Fournissant des Renseignements Atmosphériques à la Neige) —cross-validated with ERA5— and a nationwide fire record dataset (BDIFF, Base de Données sur les Incendies de Forêts en France: 2006–2023). Using the generalized extreme value (GEV) theory, we then quantified the rarity of FWI conditions associated with the top-3 largest fires across different spatiotemporal scales. Our results show that the rarity of those conditions generally increases with the resolution, with return periods increasing from ~6 to ~34 years, from ~22 to ~89 years and from ~6 to ~101 years when moving from the coarser to the finest spatiotemporal scale for Landiras-1, Landiras-2 and La Teste-de-Buch fires, respectively. Finally, we used four GCMs (IPSL-CM6A-LR, CanESM5, MIROC6 and NorESM2-LM) from the CMIP6 DAMIP and ScenarioMIP experiments to examine how ACC has made those FWI conditions more or less probable from 1950–2100. By 2022, ACC had at least doubled the likelihood of those FWI conditions, and will make them, by the end of the century (under SSP2-4.5), at least 10–100 times more probable, depending on the models. Our study underlines the growing influence of ACC in the risk of extreme fires in France across a range of scales.

How to cite: Zhu, S., Barbero, R., Pimont, F., and Renard, B.: Quantifying the current and future likelihood of the 2022 extreme wildfires weather conditions in France with anthropogenic climatechange, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5436, https://doi.org/10.5194/egusphere-egu26-5436, 2026.

EGU26-6395 | ECS | Orals | NH7.1

Wildfire Susceptibility in Italy: High-Resolution Mapping for Power Grid Resilience 

Filippo D'Amico, Riccardo Bonanno, Elena Collino, Francesca Viterbo, and Matteo Lacavalla

The increasing number of wildfires in Italy presents a growing challenge for environmental protection and infrastructure resilience. Among the most vulnerable assets is the high-voltage transmission network: during wildfire events, in fact, overhead lines must often be preemptively deactivated to facilitate aerial and ground-based firefighting and to preserve infrastructure integrity and grid stability. This necessity creates a critical conflict between emergency response requirements and the continuity of electricity supply.

While anthropogenic activities and human negligence remain the primary drivers of ignition, the meteorological conditions leading to fire spread have worsened in recent years due to persistent summer heatwaves and prolonged droughts. To monitor and predict wildfire danger, various meteorological indices have been developed, most notably the Canadian Fire Weather Index (FWI). However, while these indices are essential for daily operational monitoring, they are inherently limited by not considering fuel availability and terrain characteristics. Consequently, high FWI values may be recorded in areas with no combustible biomass, such as urban areas, highlighting the limits of purely weather-based fire danger assessments.

To improve fire danger characterization, a susceptibility map was developed on a 100-meter resolution grid covering the entire Italian territory. To achieve this, a random forest model was trained on non-meteorological, high-resolution data using a balanced dataset constructed from areas burned between 2010 and 2023, and an equal number of randomly sampled non-fire locations. These features included land use, topography (elevation, slope, and aspect), latitude, and proximity to critical infrastructure (roads and power lines). The model demonstrated high predictive performance, achieving an accuracy of 0.95 on a 30% hold-out test sample; feature importance analysis revealed that latitude, elevation, and land-use class are the primary drivers of fire susceptibility. Finally, the model has been applied across the entire Italian Peninsula, yielding a high-resolution map of burning probability for each grid cell.

To evaluate its operational effectiveness, the susceptibility map was validated against two case studies where wildfires directly caused the deactivation of critical power lines. The results demonstrate that the map significantly refines the spatial accuracy of coarser meteorological alerts based solely on the FWI. By integrating fuel and topographic data with weather-based indices, the model successfully narrows the focus to specific high-risk segments of the grid, thereby reducing 'false alarm' areas and providing a more targeted decision-support tool for transmission system operators.

This susceptibility map provides an important foundation for a comprehensive wildfire alert system, bridging the gap between broad meteorological forecasts and local-scale infrastructure needs. By refining established weather indices with high-resolution environmental and topographic data, the model allows for a level of situational awareness compatible with the needs of power grid operators within the growing challenges of Mediterranean climate.

How to cite: D'Amico, F., Bonanno, R., Collino, E., Viterbo, F., and Lacavalla, M.: Wildfire Susceptibility in Italy: High-Resolution Mapping for Power Grid Resilience, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6395, https://doi.org/10.5194/egusphere-egu26-6395, 2026.

EGU26-6513 | Orals | NH7.1

Defining confidence classes for lightning discharges igniting wildfires 

Jose V. Moris, Francisco J. Pérez-Invernón, Pablo A. Camino-Faillace, Francisco J. Gordillo-Vázquez, Nicolau Pineda, Gianni B. Pezzatti, Marco Conedera, Yanan Zhu, Jeff Lapierre, Hugh G.P. Hunt, and Sander Veraverbeke

The projected increase in lightning-ignited wildfires (LIWs) during the 21st century highlights the need to improve our understanding of the mechanisms and processes governing these natural fires. However, results from large-scale LIW studies are often limited by uncertainty in identifying the specific lightning discharge responsible for each ignition. Here, we present a simple and flexible classification system that ranks LIWs according to the level of confidence in the lightning event causing the ignition.

We first used a probabilistic index to identify the most likely lightning event igniting each wildfire. This index was combined with a set of filters based on eight criteria, including holdover time (the time between lightning-induced ignition and fire detection) and the distance between the reported lightning location and the fire ignition point, to define four confidence classes. The lowest-confidence class applied no filters and retained all lightning events selected by the probability index (one per fire). The remaining three classes applied increasingly strict filters, yielding progressively higher confidence levels. This classification framework was applied to LIWs from four study regions: Switzerland, Catalonia (Spain), California and Nevada (United States), and the whole continental United States. In addition, two LIWs with ignitions documented by video footage were used for validation.

Relative to the unfiltered class, intermediate confidence classes retain approximately one-quarter to two-thirds of lightning discharges, whereas the highest-confidence class retains only 5-20%. This reflects a trade-off between sample size and confidence. The proposed confidence classification provides an initial framework that can be further refined, and offers a way to increase the robustness of LIW analyses, thereby supporting improved investigations of the factors controlling lightning-induced wildfire ignitions.

How to cite: Moris, J. V., Pérez-Invernón, F. J., Camino-Faillace, P. A., Gordillo-Vázquez, F. J., Pineda, N., Pezzatti, G. B., Conedera, M., Zhu, Y., Lapierre, J., Hunt, H. G. P., and Veraverbeke, S.: Defining confidence classes for lightning discharges igniting wildfires, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6513, https://doi.org/10.5194/egusphere-egu26-6513, 2026.

EGU26-6748 | Posters on site | NH7.1

Towards a Second-Generation Wildfire Detection and Forecasting Platform: Technical and Operational Advances in FireHUB. 

Nikolaos S. Bartsotas, Themistocles Herekakis, Valentina Kanaki, Panagiotis Zachariadis, Michail-Christos Tsoutsos, and Charalampos Kontoes

Over the past decade, the operational unit BEYOND Centre in the National Observatory of Athens (NOA) has developed and presented an advanced wildfire monitoring and forecasting framework for Greece, namely FireHub. The system is ingesting real-time Meteosat Second Generation satellite data every five minutes through NOA/BEYOND’s in-house antenna, using SEVIRI Level 1.5 infrared bands (IR 3.9 and 10.8 μm) to detect ignition points with quantified confidence. A dedicated downscaling methodology refines detections to a much finer scale (300 m) than the native SEVIRI spatial resolution of 3 km. The system is further enhanced by integrating the Firehub Fire Information System (FFIS), which combines observations from VIIRS, MODIS, and Sentinel-2, providing a more comprehensive and reliable picture of the active fire state. To address early-stage satellite artifacts caused by clouds, smoke, or extreme temperatures, NOA/BEYOND has long coupled observations with fire propagation modeling, initially through the deployment of FLAMMAP alongside real-time meteorology, fuel types, and terrain information. While this hybrid approach proved accurate and well received, it faced constraints under the rapidly growing incident volume that required overwhelming computational resources. In addition, FLAMMAP relying on a static wind field defined only at ignition, limited the realism in complex and highly variable wind environments.

Under the framework of MedEWSa project, the entire system has been re-engineered from the ground up to overcome these limitations. The new architecture runs asynchronously and concurrently on high-performance computing nodes, leveraging optimized code and open data cubes to scale efficiently. FLAMMAP has been replaced by the FOREFIRE model, which incorporates wind variability in both space and time from ignition onward. Sensitivity tests demonstrate that fully dynamic wind simulations produce fire evolutions closer to observed burned scar maps than static approaches. Extensive testing across coastal zones, urban and suburban settings, and complex terrain, using multiple propagation schemes including Rothermel, Balbi, and the newly added FARSITE, has guided the selection of an operational configuration. In peak periods, dozens of fires were handled simultaneously and each ignition triggering parallel, automated propagation forecasts for the coming hours. During the 2025 fire season, the system ran in pseudo-operational mode, allowing a full evaluation to take place against the confirmed ignition points by the Hellenic Fire Service. Further developments are currently underway such as the switch to Meteosat Third Generation, in order to utilize the 1x1-km resolution scans every 10 minutes (2.5 minutes from 2027). Real-time monitoring and fire propagation outputs are presented as overlays with critical infrastructure layers, in order to support rapid action from first responders and informed decision-making by relevant authorities. The latest state will be presented just before the system’s inaugurate fire season as the operational platform of NOA/BEYOND.

How to cite: Bartsotas, N. S., Herekakis, T., Kanaki, V., Zachariadis, P., Tsoutsos, M.-C., and Kontoes, C.: Towards a Second-Generation Wildfire Detection and Forecasting Platform: Technical and Operational Advances in FireHUB., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6748, https://doi.org/10.5194/egusphere-egu26-6748, 2026.

EGU26-7424 | Orals | NH7.1

Advancing surface fuel representation for operational wildfire spread modeling at Météo-France 

Margaux Peyrot, Patrick Le Moigne, and Mélanie Rochoux

Accurately predicting wildfire behavior at geographical-to-regional scales using coupled atmosphere-fire models has the potential to enhance the operational activities of Météo-France, which provides fire danger assessment in support of the French civil protection services. Current fire danger indices primarily rely on meteorological variables and do not include an explicit representation of biomass fuels, despite the fact that extreme wildfire events often result from the combined effect of atmospheric conditions and fuel state.

In this study, we investigate how to integrate a detailed representation of surface fuels into the coupled Meso-NH/BLAZE modeling system (Lac et al., 2018; Costes et al., 2021), by taking advantage of high-resolution vegetation modeling from the SURFEX land surface system (Masson et al., 2013) and by defining fuel models for the vegetation types of the ECOCLIMAP database (Faroux et al. 2013). This study focuses on the French Mediterranean area for two main reasons: i) this is a wildfire-prone area that has experienced intense fire activity in recent years and that is projected to face increased fire danger due to climate change in the next decades (Fargeon et al. 2020); and ii) it has been monitored for several decades by the ONF (French forest services) through a dense observational network, providing extensive measurements of Live Fuel Moisture Content (LFMC).

We implement the Rothermel heterogeneous rate-of-spread (ROS) formulation (Andrews, 2018) in the coupled atmosphere-fire model associated with dynamic fuel models (Scott and Burgan, 2005), in order to represent both dead and live components of the biomass fuels, and to dynamically transfer the herbaceous fuel load from live to dead components as a function of the LFMC to reproduce seasonal curing. We thus analyze the added value of including a live component of biomass fuels and the role of the LFMC in the ROS predictions. Preliminary results indicate that accounting for the live fuel component part of fuels generally reduces the simulated ROS, as higher live fuel content tends to inhibit combustion. Moreover, simulations using dynamic fuel models propagate less extensively than non-dynamic fuel models.

Beyond the explicit modeling of fire-fuel interactions, we also examine the Fire Weather Indices (FWI) based on the Canadian approach (Van Wagner et al., 1985) and adopted by Météo-France to assess meteorological fire danger. By analyzing their relationship with simulated ROS, we aim to establish a first quantitative link between fire danger indicators and physically-based fire behavior predictions.

How to cite: Peyrot, M., Le Moigne, P., and Rochoux, M.: Advancing surface fuel representation for operational wildfire spread modeling at Météo-France, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7424, https://doi.org/10.5194/egusphere-egu26-7424, 2026.

EGU26-7489 | Orals | NH7.1

Delineating Iberian pyroregions using agglomerative clustering of fire regime descriptors 

Marcos Rodrigues, Farhad Mulavizada, Fermin Alcasena, Juan Ramón Molina, Teresa Lamelas, and Juan de la Riva

Wildfire activity in the Iberian Peninsula (581,353 km²) is highly heterogeneous due to strong gradients in climate, topography, vegetation, disturbances, land use, and management. This spatial variability challenges fire modeling, risk assessment, and fuel reduction strategies across contrasting regions. Previous efforts to map fire regimes succesfully used clustering of historical or remote-sensed fire data. However, the resulting zones were often large and spatially fragmented, rendering them challenging to integrate into landscape scale stochastic wildfire modeling.

To address this, we delineated pyroregions, defined as spatial units with generally homogeneous fire regime conditions, to support subsequent fire weather characterization and the definition of modeling domains for stochastic wildfire simulations. Our objective was to generate contiguous spatial units that exhibit both similar historical fire incidence and consistent fire-weather and topographic characteristics. To achieve this, we populated subwatersheds (obtained from HydroBASINS; n = 4,409; mean area 13,391 ha) with contemporary fire regime descriptors derived from burned area and ignition records –sourced from national (AGIF for Portugal and EGIF for Spain) and European (EFFIS) databases– complemented with fuel moisture (Camprubí et al., 2022; 10.5281/zenodo.6784663) and weather data (ERA5-Land reanalysis data). Descriptors included annual ignition density, annual and summer burned area, wind direction distributions, and fuel moisture content for live woody and fine fuels in the period 2001-2024. Pyroregions were obtained via spatially constrained agglomerative clustering with Ward linkage, enforcing contiguity using a Queen connectivity matrix, which ensured that merges occurred only between adjacent subwatersheds. Following a two-step aggregation scheme, we first delineated 16 broad pyroregions representing major wildfire-regime zones and then partitioned them into 78 similarly sized subareas (pyromes; mean area 7,570 km²) for modeling applications. Finally, boundaries were refined to reduce sharp transitions associated with subwatershed geometry and to produce smoother contours. The resulting map captured transboundary similarities and contrasts in fire regimes and revealed clear structure, including altitudinal gradients and a marked Atlantic to Mediterranean contrast, with large contiguous regions over the inner mesetas and major depressions, and a near continuous coastal belt.

 

How to cite: Rodrigues, M., Mulavizada, F., Alcasena, F., Molina, J. R., Lamelas, T., and de la Riva, J.: Delineating Iberian pyroregions using agglomerative clustering of fire regime descriptors, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7489, https://doi.org/10.5194/egusphere-egu26-7489, 2026.

EGU26-7555 | ECS | Posters on site | NH7.1

Flash Droughts and Wildfire Interactions: Influence of Detection Methods on Fire Risk and Speed Across U.S. Landscapes 

Masoud Zeraati, Hayley Fowler, Colin Manning, and Christopher White

Flash droughts are characterised by rapid soil-moisture depletion driven by elevated atmospheric evaporative demand from higher air temperatures, low humidity, stronger solar radiation and wind, especially when precipitation is limited. This heightened atmospheric evaporative demand enhances evapotranspiration, accelerates moisture depletion in the root zone and intensifies vegetation water stress. As plants dry and weaken, their flammability rises, creating a feedback loop that elevates wildfire risk during prolonged heat and drought conditions.

This study investigates the relationship between flash drought and wildfire dynamics using two commonly used methods of flash drought detection across diverse land-cover types in the continental United States. We show that the frequency and spatial patterns of flash drought and its relationship with wildfire is significantly influenced by the method used for flash drought detection. Flash drought events identified by the Standardized Evapotranspiration Stress Ratio (SESR) capture atmospheric evaporative stress, while Root Zone Soil Moisture (RZSM) reflects sustained soil drying that directly increases fuel flammability. Approximately 53% of fires occurred after flash droughts identified using SESR definition, whereas RZSM classified about 10%, with each producing different spatial footprints.

To quantify how flash drought alters fire evolution, we applied Kaplan–Meier survival analysis to time-to-burn, estimating the probability that pixels remain unburned as a function of time since ignition under flash drought and non-flash drought conditions, and used Cox proportional-hazards models to derive hazard ratios (HR), which measure the relative instantaneous burning rate under FD (HR > 1 indicating faster spread). Grasslands and croplands show the highest vulnerability to flash drought–related fires due to their fine, continuous fuels that rapidly dry and ignite, with stronger acceleration and earlier spread under RZSM identified flash droughts (HR ≈ 1.45 in grasslands, 1.33 in croplands, 1.84 in open shrublands; woody savannas ≈ 1.17), while SESR effects are small or near zero in several covers (HR ≈ 1.05 in croplands and grasslands; ≈ 0.99 in woody savannas).

We therefore recommend incorporating rapid soil-moisture drying dynamics into wildfire risk models and enhancing real-time monitoring to strengthen early warnings and fire management, especially in ecosystems prone to swift drying and ignition.

How to cite: Zeraati, M., Fowler, H., Manning, C., and White, C.: Flash Droughts and Wildfire Interactions: Influence of Detection Methods on Fire Risk and Speed Across U.S. Landscapes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7555, https://doi.org/10.5194/egusphere-egu26-7555, 2026.

EGU26-9904 | ECS | Orals | NH7.1

Lessons learnt from the application of various wildfire growth models for the environmental conditions in Central Europe 

Katrin Kuhnen, Mariana S. Andrade, Mortimer Müller, and Harald Vacik

Wildfires are an upcoming threat across Central Europe, driven by shifting climate regimes, extended drought periods, and rising temperatures. Effective fire management depends on a solid understanding of fire behavior, which creates a demand for reliable fire growth models. Fire modelling in this region poses several challenges, especially if the models were developed for different environmental regions (e.g. North America). The availability of high-resolution fuel data, fuel models and information on local fuel moisture and wind patterns - all important drivers for fire spread prediction – can cause additional difficulties in predicting fire behavior. Well-documented fire events can provide reliable information for model calibration and validation, but such case studies are scarce in Central Europe.

Therefore, this study investigates the applicability of several fire growth models (Farsite, Prometheus, SimtableTM, PhyFire) for the specific environmental conditions in Central Europe based on a set of pre-defined evaluation criteria. The selected models are applied to two well-documented fire cases to assess their ability in predicting spatial and temporal fire growth under varying environmental conditions in Central Europe. The analysis reveals differences in suitability among the models and underscores the need for region-specific calibration. Furthermore, improved data availability regarding documented fire cases and wind velocity and direction are demanded. These results help to identify the needs for an advanced wildfire growth modelling in Central Europe and supports more informed fire management decisions and training in future.

How to cite: Kuhnen, K., Andrade, M. S., Müller, M., and Vacik, H.: Lessons learnt from the application of various wildfire growth models for the environmental conditions in Central Europe, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9904, https://doi.org/10.5194/egusphere-egu26-9904, 2026.

EGU26-10852 | Posters on site | NH7.1

Environmental and Operational Drivers of Vegetation Fires Along the Czech Rail Network 

Michal Bíl, Vojtech Nezval, and Richard Andrášik

Vegetation growing along railway corridors creates conditions in which fires can ignite and spread rapidly, even though steam locomotives—the historical source of many railway fires—are no longer in regular use. This study examines vegetation fires occurring near railway lines in the Czech Republic over the last 20 years, with the aim of understanding their temporal patterns, links to weather conditions, and spatial concentration. The analysis draws on detailed incident records from the national railway infrastructure manager and combines them with meteorological, geographic, and operational data to identify the factors that influence fire occurrence.

The results show that fires tend to cluster in the warmer part of the year, particularly from spring through late summer, and most often in the afternoon. Their occurrence is strongly associated with prolonged periods of elevated temperatures, limited precipitation, and low relative humidity. Logistic regression further revealed that infrastructure characteristics play a significant role: electrified lines, areas near railway stations, and sections with heavy freight traffic exhibit a markedly higher likelihood of fire. Conversely, higher elevations and greater distance from built-up areas reduce the probability of ignition.

Using the KDE+ method (https://www.kdeplus.cz), we identified more than 300 hotspots where fires repeatedly occurred, despite these locations representing only a very small fraction of the national rail network. These hotspots are typically situated in regions with warmer climates and on lines with substantial train movements. The findings indicate that even modern railway operations can generate ignition sources, such as sparks from braking systems.

Given projected increases in temperature and drought frequency due to climate change, vegetation fires along railways are likely to become more common. The identification of high‑risk segments therefore provides a valuable basis for targeted vegetation management and other preventive measures aimed at reducing the impacts of fires on railway operations and surrounding ecosystems. As part of our current research, we are developing an early‑warning system that integrates weather forecasts, fuel models, and operational data to alert railway managers to elevated fire risk in advance.

How to cite: Bíl, M., Nezval, V., and Andrášik, R.: Environmental and Operational Drivers of Vegetation Fires Along the Czech Rail Network, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10852, https://doi.org/10.5194/egusphere-egu26-10852, 2026.

EGU26-11241 | Posters on site | NH7.1

Event-Based Copula Modeling of Compound Fire-Weather Extremes for Wildfire Risk Assessment 

pegah aflakian, Bruno Colavitto, Andrea Trucchia, Tatiana Ghizzoni, and Paolo Fiorucci

Wildfire impacts are increasingly driven by the joint occurrence and persistence of multiple meteorological drivers, such as atmospheric dryness and strong winds, rather than by isolated univariate extremes. Growing evidence shows that such compound conditions strongly influence wildfire characteristics, including event duration, spatial extent, and intensity, motivating the use of multivariate probabilistic frameworks for wildfire risk analysis [1,2]. Traditional approaches based on marginal extremes or linear dependence are often inadequate for representing tail dependence and joint exceedance behavior, potentially leading to biased estimates of rare but high-impact wildfire events [3,4]. 

This study develops a spatially explicit, event-based probabilistic framework for modeling wildfire-relevant meteorological drivers and derived event characteristics using copula-based dependence structures. The methodology follows a two-stage workflow. In the first stage, hourly gridded fields of a humidity-related variable and wind are transformed into per-cell daily time series, extracting daily extrema and duration metrics based on physically motivated thresholds. A combined condition identifies hours when both drivers are simultaneously active, enabling the construction of compound duration indicators. This spatially explicit, per-cell representation is consistent with established wildfire risk and susceptibility frameworks that rely on pixel-level meteorological and environmental descriptors and supports the consistent aggregation of local information into larger spatial units relevant for regional risk assessment and comparison [5]. 

In the second stage, extreme events are detected and modeled to build an event-based probabilistic dataset and generate long synthetic event catalogs. Event identification relies on return-period exceedance of annual maxima, combined with moving-window logic and minimum inter-event time constraints. Event-level descriptors, including maximum driver intensity and persistence, are used to quantify spatially aggregated impacts, consistent with prior work on joint modeling of wildfire duration and size [6,7]. Marginal distributions are fitted to event-level variables and transformed into the probability domain prior to dependence modeling, following established copula theory [3]. Multivariate dependence is then modeled using copulas, allowing synthetic events to be generated while preserving observed dependence structures among drivers and event characteristics [4,8]. 

The framework builds on recent advances in compound and multihazard analysis [1,2], copula-based frequency analysis [3], and comparative evaluations of multivariate extreme modeling strategies [9]. By exporting spatially aggregated event-impact matrices and event frequencies, the approach is designed for integration into downstream wildfire hazard and risk assessment engines. Preliminary results of a pilot implementations at regional level in Italy (Liguria, Tuscany, Marche), adopting a 40-years weather dataset (1981–2023), are shown. 

 

References 

 [1] Zscheischler & Fischer (2020), Weather and Climate Extremes. 
[2] Sadegh et al. (2018), Geophysical Research Letters. 
[3] Salvadori & De Michele (2004), Water Resources Research. 
[4] Bhatti & Do (2019), International Journal of Hydrogen Energy. 
[5] Trucchia et al. (2022), Fire. 
[6] Ghizzoni et al. (2010), Advances in Water Resources. 
[7] Xi et al. (2020), Stochastic Environmental Research and Risk Assessment. 
[8] Najib et al. (2022), Natural Hazards. 
[9] Tilloy et al. (2020), Natural Hazards and Earth System Sciences. 

How to cite: aflakian, P., Colavitto, B., Trucchia, A., Ghizzoni, T., and Fiorucci, P.: Event-Based Copula Modeling of Compound Fire-Weather Extremes for Wildfire Risk Assessment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11241, https://doi.org/10.5194/egusphere-egu26-11241, 2026.

EGU26-12016 | ECS | Orals | NH7.1

Global Short-term Daily Wildfire Forecasting and Predictability Attribution using a new Spatio-temporal Deep Learning Framework 

Tong Wu, Junyu Zheng, Jiashu Ye, Zhijiong Huang, Manni Zhu, Weiwen Chen, and Zhaoyang Xue

Reliable short-term wildfire forecasting is essential for early warning, timely air-quality management, and mitigating wildfire-related health impacts and economic losses. However, global prediction remains difficult because wildfire occurrence is rare and highly heterogeneous across fire regimes. The Fire Weather Index (FWI) is widely used as a benchmark, but it mainly reflects weather-driven fire danger and does not explicitly represent fuel or fire dynamics, limiting predictive accuracy. Physics-based coupled models can resolve fire–atmosphere interactions, yet they typically require prescribed ignition information and are too computationally expensive for global deployment. Data-driven methods enabled by satellite and reanalysis data offer an efficient alternative. However, many conventional ML approaches treat grid cells as independent samples, which limits learning of neighborhood interactions and multi-day preconditioning. Recent DL studies improve representation learning, but many remain regional and lack unified spatiotemporal dependency modeling. Thus, global spatiotemporal frameworks tailored to the rare and sparse nature of wildfire occurrence remain scarce.

Here we present the STA-Net, a novel global daily wildfire forecasting framework built on a harmonized multi-source dataset spanning 2013–2024. The dataset integrates meteorology, vegetation, lightning, and topography information on a unified 0.5° global grid. Through modeling of spatiotemporal dependencies and imbalance-aware training, The STA-Net learns coherent features that capture multi-day environmental preconditioning and neighborhood-driven fire evolution, which enables accurate next-day wildfire forecasts at the global scale. It also supports short-range forecasts at 1–7 day lead times, although predictive skill decreases progressively as lead time increases.

The STA-Net outperforms the FWI and representative data-driven baseline models, including XGBoost (non-spatiotemporal), LSTM (temporal-only), and 2D-CNN (spatial-only). On an independent global test set, the STA-Net achieves an AUC of 0.97 and maintains stronger discrimination than FWI across all 14 GFED fire regions. Two 2024 case studies in Bolivia and Canada further show that the STA-Net captures the spatial footprint and concentrated high-risk cores of catastrophic outbreaks, supporting event-level generalization beyond aggregate metrics. Using F1 as the primary rare-event metric, the STA-Net achieves the highest score among the data-driven baselines (F1 = 0.65). An ignition–spread–persistent (I–P–S) stratification attributes the largest improvement to spread fire, where neighborhood propagation is central, providing direct evidence for the effectiveness of the STA-Net’s spatiotemporal modeling.

Beyond forecasting, we perform predictability attribution across fire types and regions. SHAP analyses under an IPS stratification show that persistent fire prediction is dominated by prior fire states, spread fires depend on coupled fuel–environment conditions, and ignition is driven mainly by vegetation and land-surface properties with a stronger role of soil moisture. Region-aggregated attribution further indicates that FRP and NDVI are consistently influential predictors, while secondary drivers vary by region and fire regime, with meteorological controls shifting in importance and lightning density contributing more strongly in regions with frequent lightning-driven ignitions.

Overall, the STA-Net provides a high-skill and scalable approach for global short-term daily wildfire forecasting together with transparent attribution of predictive drivers, supporting wildfire risk management and emission forecasting.

How to cite: Wu, T., Zheng, J., Ye, J., Huang, Z., Zhu, M., Chen, W., and Xue, Z.: Global Short-term Daily Wildfire Forecasting and Predictability Attribution using a new Spatio-temporal Deep Learning Framework, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12016, https://doi.org/10.5194/egusphere-egu26-12016, 2026.

EGU26-12302 | Posters on site | NH7.1

Short-Term Hydrometeorological Drivers of Wildfires in Italy: Insights from Extreme Value Modeling 

Marj Tonini, Farzad Ghasemiazma, Marco Turco, Andrea Trucchia, and Paolo Fiorucci

Extreme Wildfire Events (EWEs) represent a growing threat in Mediterranean regions, yet their short-term hydrometeorological drivers remain less well constrained than those of more frequent, lower-intensity fires. Improving the discrimination between extreme and non-extreme wildfire behavior is therefore essential for advancing fire prediction, early warning, and risk management. This study investigates whether EWEs differ significantly from non-extreme fires in terms of their associated dynamic meteorological, vegetation, and hydroclimatic conditions, using Italy as a national-scale case study representative of Mediterranean fire regimes.

We analyzed a high-resolution wildfire geospatial dataset from the Italian Civil Protection Department, comprising 106,620 fire events recorded between 2007 and 2022 and a total burned area of approximately 1.37 million hectares (Moris et al., 2024). Fires smaller than 1 ha were excluded. To explicitly account for the contrasting statistical behavior of extreme and non-extreme wildfires, we adopted a two-regime modeling framework: i) the bulk of the burned-area distribution was modeled using Generalized Additive Models (GAMs); ii) EWEs were characterized using an Extreme Value Theory (EVT) framework in which burned-area exceedances above high percentile-based thresholds (90th, 95th, and 99th percentiles) were modeled with a Generalized Pareto Distribution.
Our analysis is supported by the integration of data-cube technology, which enables efficient extraction of high-resolution spatiotemporal data. Meteorological, vegetation, and drought-related variables were extracted at daily and 1 km resolution from the Mesogeos dataset (Kondylatos et al., 2023). Only dynamic variables were considered, including meteorological fields from ERA5-Land; land surface temperature, Normalized Difference Vegetation Index, and Leaf Area Index from MODIS; soil moisture from the European Drought Observatory. The Standardized Precipitation Evapotranspiration Index (SPEI) was additionally included as a complementary indicator of drought conditions.

Results indicate that EWEs are governed by processes that differ fundamentally from those controlling more frequent, lower-intensity fires. By isolating the tail behavior of burned area, the EVT framework reveals the dominant influence of drought intensity, near-surface air temperature, and wind speed under rare but high-impact conditions, relationships that are largely obscured when relying solely on bulk-based models such as GAMs. These findings highlight the importance of explicitly modeling wildfire extremes and provide a robust statistical basis for improving extreme-focused fire danger assessment, early warning, and risk management in Mediterranean regions.

Moris, J. V., Gamba, R., Arca, B., Bacciu, V., Casula, M., Elia, M., Malanchini, L., Spadoni, 481 G. L., Vacchiano, G. and Ascoli, D. (2024) A geospatial dataset of wildfires in Italy, 2007- 482 2022. Technical report, Zenodo.

Kondylatos, S., Prapas, I., Camps-Valls, G. and Papoutsis, I. (2023) Mesogeos: A multi467 purpose dataset for data-driven wildfire modeling in the Mediterranean. Advances in 468 Neural Information Processing Systems 36, 50661–50676.

How to cite: Tonini, M., Ghasemiazma, F., Turco, M., Trucchia, A., and Fiorucci, P.: Short-Term Hydrometeorological Drivers of Wildfires in Italy: Insights from Extreme Value Modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12302, https://doi.org/10.5194/egusphere-egu26-12302, 2026.

EGU26-12564 | ECS | Orals | NH7.1

Wind variability influencing wildfires in Spain 

Nuria Pilar Plaza-Martin, Àngela Alba-Manrique, Étienne Plésiat, César Azorín-Molina, and Juli g. Pausas

Terrestrial near-surface wind speed research (NSWS, at 10 m above ground)  has largely focused on the global-scale stilling phenomenon observed over recent decades. However, much less attention has been paid to whether this phenomenon is also present in the wind regimes associated with wildfire activity. In this context, the recently reported reversal of near-surface wind trends towards increasing wind speeds introduces additional uncertainty regarding the potential impacts of wind on global wildfire regimes.

In this study, we assess the ability of commonly used reanalysis products, such as ERA5 and CERRA, to represent observed wind variability at weather stations across the Iberian Peninsula for 1984-2021. According to our results, most reanalyses fail to reproduce the trends and multidecadal variability of NSWS observed at more than 700 weather stations. In contrast, the use of a high-resolution (3-km) NSWS dataset produced using a U-Net based on partial convolutions,  trained to reconstruct the wind field from station-based wind observations, better captures these temporal trends and variability. We then analyse the wind changes observed during wildfire events in Spain over recent decades, examining their relationship with large-scale climate oscillation modes. Finally, we explore whether observed trends in wildfire-related winds are consistent with the stilling–reversal framework.

How to cite: Plaza-Martin, N. P., Alba-Manrique, À., Plésiat, É., Azorín-Molina, C., and g. Pausas, J.: Wind variability influencing wildfires in Spain, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12564, https://doi.org/10.5194/egusphere-egu26-12564, 2026.

EGU26-12914 | ECS | Posters on site | NH7.1

Multiple burns affecting post-fire pollution cycling: Legacies of past charcoal production in areas affected by forest fires  

Lea Deutsch, Ankit Yadav, Robert Jackisch, Andreas Kronz, and Elisabeth Dietze

Wildfires are a hazardous concern for human health and the environment, extensively studied for fire-prone regions for decades. However, in temperate Central Europe a significant gap remains in evaluation, assessment and understanding of the effects and risks on the geoenvironment, including post-fire pollutant cycling.  The Harz Mountains in Central Germany face this environmental challenge, due to climate change, which is driving expansion of fire-prone regions and an increase in the frequency and number of wildfires. Especially since 2022, the region has experienced wildfires following natural disturbances such as bark beetle infestation, windthrow, as well as a high frequency of heat and drought events. The landscape is shaped by legacies of land use during the past millennium. Mining, smelting and wood overexploitation phases significantly altered the topography and soils leaving widespread and partly hazardous environmental legacies, suggested to interact with modern environments, though the extent of this interaction remains poorly understood. We suggest that this interplay of recent wildfires and legacies, represented by former charcoal production sites, creates diverse fire impacts on soils within a single region. On the one hand, the widespread residues of charcoal kilns persist in the soils and on the other hand, modern wildfire affected soils again.

Our study investigates the influence of the landscape legacies in recently burnt areas by analyzing 16 priority PAHs (Polycyclic aromatic hydrocarbons) listed by the U.S. Environmental Protection Agency  in a 1.3 ha site in the Harz Mountains that burnt in 2022 (Jackisch et al., 2023). Samples of organic and mineral horizons were taken in former charcoal kiln and wildfire affected sites mapped by remote sensing. Additionally, control soil profiles were sampled. All samples were analyzed using GC-MS.

We examined the influence of heat on the mineral layer through changes in mineral composition with a focus on thermal transformation of Fe (oxy)hydroxides using SEM (scanning electron microscopy) and XRD (X-ray Diffraction) measurements in mineral layers affected by charcoal production, wildfires and non-affected soils, to improve the mapping of burn severity. We find a high heterogeneity in PAH quantities and composition due to the site’s high soil and micro-relief diversity, with high-molecular weight PAHs dominating in legacy samples.  This study contributes to the discussion about post-fire PAH cycling in soils of the Harz Mountains with legacies from past charcoal production.

Jackisch, R., Putzenlechner, B., & Dietze, E. (2023). UAV data of post fire dynamics, Quesenbank, Harz, 2022 (orthomosaics, topography, point clouds) (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7554598

How to cite: Deutsch, L., Yadav, A., Jackisch, R., Kronz, A., and Dietze, E.: Multiple burns affecting post-fire pollution cycling: Legacies of past charcoal production in areas affected by forest fires , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12914, https://doi.org/10.5194/egusphere-egu26-12914, 2026.

EGU26-13976 | Orals | NH7.1 | Highlight

AI for wildfire danger forecasting at different spatiotemporal scales 

Ioannis Papoutsis

Wildfire danger reflects the interaction of processes acting across a wide range of spatial and temporal scales, from rapid weather-driven variability to slower fuel, hydrological, and climate-mediated controls. This contribution examines how recent advances in artificial intelligence, when combined with structured Earth System Data Cubes, can be used to improve wildfire danger forecasts and also to better understand the mechanisms that drive their variability across scales.

We build on two complementary datacube paradigms: (i) regional, high-resolution daily cubes (e.g., Mesogeos at 1 km × 1 day over the Mediterranean) to resolve local meteorology–fuel–human interactions, and (ii) global sub-seasonal to seasonal cubes (e.g., SeasFire at 0.25° × 8-day, integrating climate, vegetation, oceanic indices, and human factors) to represent large-scale context and teleconnections.

For short lead times, we show that deep learning models that jointly exploit meteorological forcing and surface state information (e.g., vegetation condition and wetness proxies) consistently outperform operational meteorology-only approaches such as the Fire Weather Index. Importantly, explainable AI methods help diagnose which drivers dominate different fire episodes, revealing physically plausible and event-dependent controls rather than fixed empirical relationships. At subseasonal-to-seasonal horizons, predictability increasingly depends on slow-varying land-surface conditions and remote climate signals. Here, we discuss multi-scale learning approaches that fuse local predictors with coarser global fields and climate indices, enabling skillful forecasts of burned-area patterns at multi-month lead times without assuming homogeneous predictability across regions or biomes.

Finally, we argue that improved accuracy alone is insufficient for operational use. We therefore emphasize uncertainty-aware modelling, drawing on Bayesian deep learning to quantify epistemic and aleatoric uncertainties, improve forecast calibration, and support decision-making under risk through interpretable predictions accompanied by explicit confidence information.

How to cite: Papoutsis, I.: AI for wildfire danger forecasting at different spatiotemporal scales, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13976, https://doi.org/10.5194/egusphere-egu26-13976, 2026.

EGU26-14026 | ECS | Posters on site | NH7.1

Evaluating region-dependent skill of seasonal Fire Weather Index forecasts in Australia 

Candice Charlton, Luiz Galizia, and Apostolos Voulgarakis

Forecasting fire danger is essential for early warning, fire management, and planning in several climate-sensitive industries. In Australia, fire regimes are highly seasonal and regionally diverse, creating a complex land-atmosphere interaction driven by extreme climate variability. This study is a preliminary investigation into the relationship between MODIS burned-area data and datasets that can act as predictors, such as seasonal Canadian Fire Weather Index (FWI) forecasts on multiple lead times from the ECMWF; coupled ocean-atmosphere climate modes – Indian Ocean Dipole (IOD) and El Niño-Southern Oscillation (ENSO); satellite-derived fuel-related variables NDVI, NBR, FAPAR at national and subnational (climate biome) scales, to inform the development of a region-adaptive forecasting framework.

Spatio-temporal correlation and spatial autocorrelation are assessed between gridded datasets, with time-series analysis focusing on lagged teleconnections and cross-correlation. In the case of the forecast-driven FWI diagnostic comparisons with reanalysis FWI is undertaken to provide context for forecast skill. These diagnostics are employed to investigate whether Australian fire regimes are governed by a dual-constraint system with a fuel-accumulation and climate-driven phase, in which antecedent fuel accumulation as well as weather triggers are the primary drivers.

The purpose of this study is to reveal the extent to which FWI’s ability to predict danger varies across biomes, highlighting the need for fuel-related inputs. Lagged analysis is used to inform the optimal temporal scale for predicting fire danger in Australia. Diagnostic comparison with reanalysis data may identify potential biases in the ECMWF forecast dataset that play a role in its relationship with burned area, further highlighting the need for a region-adaptive framework to correct for local land-mediated influences. These preliminary findings will shape ongoing research into the use of different combinations of variables by regions.

 

How to cite: Charlton, C., Galizia, L., and Voulgarakis, A.: Evaluating region-dependent skill of seasonal Fire Weather Index forecasts in Australia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14026, https://doi.org/10.5194/egusphere-egu26-14026, 2026.

EGU26-14044 | ECS | Orals | NH7.1

Impact of Meteorological Conditions on Post-fire Recovery of Boreal Forests across Canada 

Tiago Ermitão, Ana Russo, Ana Bastos, and Célia Gouveia

Over the past years, boreal forests of Canada have been increasingly affected by large and high-severity wildfires, with recent fire seasons recording unprecedented burned areas across the country. Alongside these extreme wildfires, the ecosystems have been forced to recover under frequent climate extreme events, including prolonged droughts and intense heatwaves, which have often occurred compounded. In this study, we propose a preliminary framework to analyse the association between meteorological conditions and their impact on post-fire recovery over three major eco-regions of Canada - Western Canada, the Great Plains, and Eastern Canada. Considering the period 2001-2025, we first estimate the post-fire vegetation recovery rates using a mono-parametric model based on the remotely-sensed Enhanced Vegetation Index (EVI). Then, we apply a Random Forest (RF) modelling approach that integrates SHAPely Additive exPlanations (SHAP), aiming to explain how seasonal meteorological variables, which include air temperature, precipitation, snow depth, and solar radiation, influence the forest recovery process.

Among the three eco-regions, the recovery model exhibits a consistently strong performance. Forests in Western Canada generally show faster post-fire recovery, contrasting with slower recovery rates observed in the Great Plains, although considerable intra-regional contrasts are found. The RF models and the associated SHAP-based results effectively identify key meteorological drivers of burned forest recovery, showing an overall good performance across the three regions. The model tends to give higher importance to variables that strongly control the growing season in boreal ecosystems, namely solar radiation and air temperature during transitional seasons, particularly in spring. In Western Canada, solar radiation and air temperature roughly constitute the most influential features on recovery, whereas in the Great Plains and Eastern Canada, autumn precipitation emerges as the primary controlling feature. Additionally, both precipitation and air temperature extremes in winter and summer frequently appear as secondary drivers of recovery rate, highlighting that climate extreme events may display an important modulating effect on post-fire recovery.

Our preliminary framework provides a novel approach to estimate the recovery rate of burned vegetation across Canada based on a time-series analysis, rather than space-for-time substitution methods. Furthermore, the application of machine-learning techniques combined with SHAP provides new insights related to seasonal and regional roles of meteorological variables in modulating post-fire vegetation recovery processes.

This work was performed under the framework of DHEFEUS project, funded by Portuguese Fundação para a Ciência e a Tecnologia (FCT) (https://doi.org/10.54499/2022.09185.PTDC).

How to cite: Ermitão, T., Russo, A., Bastos, A., and Gouveia, C.: Impact of Meteorological Conditions on Post-fire Recovery of Boreal Forests across Canada, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14044, https://doi.org/10.5194/egusphere-egu26-14044, 2026.

EGU26-14322 | ECS | Posters on site | NH7.1

A hybrid modeling approach for wildfire danger assessment: combining data-driven ignition and fire spread models  

Martín Senande-Rivera, Foteini Baladima, Valerie Brosnan, Federica Guerrini, and Mirta Pinilla

Wildfire activity is influenced by a wide range of factors, meteorological, topographical, vegetation-related, and anthropogenic, making its modeling a highly complex task. In this work, we present a methodology that integrates two distinct modeling approaches within a single tool: a Machine Learning-based ignition model and a physical fire spread model. 

Outcome of our approach are event-based burn probability maps, derived by aggregating the outcomes of many fire-spread simulations initialized from stochastic ignition events generated by a Machine Learning ignition model. This model is trained on historical ignition records and integrates meteorological, vegetation, and anthropogenic variables to yield daily ignition probability maps. From each daily map, we sample stochastic ignition events and run the fire spread model for each, generating an ensemble of plausible outcomes whose aggregated footprint yields the final event‑based burn probability map. 

This combined approach enables us to address separately two critical wildfire processes: ignition and spread. Utilizing a data-driven model allows us to account for anthropogenic influences on ignition through variables such as proximity to roads, power lines, and land use. Meanwhile, the complexity of fire spread is handled by a physical propagation model that considers key factors such as fuel continuity, terrain, and processes like spotting. 

The tool is currently under development within the UNICORN project, funded by the EU Horizon Europe Programme (grant agreement No 101180172), and is being tested in the cross-border region of Northwest Spain and Northern Portugal, one of Europe’s most wildfire-prone areas. 

How to cite: Senande-Rivera, M., Baladima, F., Brosnan, V., Guerrini, F., and Pinilla, M.: A hybrid modeling approach for wildfire danger assessment: combining data-driven ignition and fire spread models , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14322, https://doi.org/10.5194/egusphere-egu26-14322, 2026.

EGU26-14672 | ECS | Posters on site | NH7.1

Integrating UAV–LiDAR Fuel Data into Stochastic Cellular Automata PROPAGATOR for Crown Fire Modelling 

Andrea Trucchia, Federico Colle, Nicolò Perello, Giacomo Fagugli, Mirko D’Andrea, Flavio Taccaliti, and Paolo Fiorucci

Wildfires are an increasing threat in Mediterranean regions, where extreme fire weather and long-term fuel accumulation are driving more frequent and severe events. In this context, fast and reliable fire spread simulations are essential to support both risk mitigation planning and real-time emergency management. PROPAGATOR is a stochastic Cellular Automata (CA) wildfire spread simulator designed to generate ensemble-based fire spread forecasts. The model, currently available as both an online application and open-source software, operates within a raster-based framework in which each cell is described by static attributes (e.g. fuel type, topography) and dynamic drivers (e.g. wind, fuel moisture). Fire propagation is modelled through a stochastic contamination process between burning and unburned cells, allowing the production of probabilistic maps of fire spread, as well as statistics on rate of spread and fireline intensity. PROPAGATOR also includes the capability to simulate the spotting phenomenon and suppression actions such as water drops or firebreak construction, making it suitable for both operational decision support during active fires and pre-event risk mitigation analyses. 

A current limitation of operational applications of PROPAGATOR is its focus on surface fire propagation, with no explicit representation of vertical fuel structure or transitions to crown fire. Crown fires, however, are characterized by higher spread rates, greater energy release, and increased unpredictability, with major implications for suppression effectiveness and ecological impacts. To address this limitation, an enhanced version of PROPAGATOR has been developed by extending the model to a quasi-three-dimensional (2.5D) representation of fuels, enabling the simulation of crown fire processes within the stochastic CA framework. The proposed Crown Fire Module relies on established empirical and semi-empirical formulations for crown fire initiation and spread that are compatible with a cellular automata approach. Crown fire initiation is governed by surface fireline intensity and crown base height, while crown fire rate of spread depends primarily on canopy bulk density and fire behaviour. These mechanisms have been integrated into the propagation rules of PROPAGATOR, allowing dynamic transitions between surface and crown fire behaviour within a probabilistic modelling framework. 

The implementation of these processes requires detailed information on both surface and canopy fuel structure and characteristics, which remains challenging at operational scales. To address this issue, we investigated the use of UAV-based LiDAR remote sensing to derive key fuel structure parameters using semi-automatic algorithms available in the literature. This approach offers a balance between spatial detail and areal coverage that is suitable for operational wildfire applications. 

A pilot study conducted in the Venafro area (Molise, Italy), based on a past wildfire event with a comprehensive dataset describing fire evolution, provided high-resolution inputs to test the enhanced model. By explicitly simulating surface-to-crown fire transitions, the upgraded version of PROPAGATOR aims to improve decision support for wildfire risk management, supporting applications ranging from fuel treatment planning to operational response under extreme fire weather conditions. 

How to cite: Trucchia, A., Colle, F., Perello, N., Fagugli, G., D’Andrea, M., Taccaliti, F., and Fiorucci, P.: Integrating UAV–LiDAR Fuel Data into Stochastic Cellular Automata PROPAGATOR for Crown Fire Modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14672, https://doi.org/10.5194/egusphere-egu26-14672, 2026.

EGU26-14770 | Posters on site | NH7.1

Changes in the South Pacific High intensity since the mid-20th century: implications and environmental impacts in the Mediterranean and South-Central Chile 

Alvaro Gonzalez-Reyes, Manuel Suazo Alvarez, Martin Jacques-Coper, Duncan Christie Browne, and Claudio Bravo-Lechuga

The South Pacific High (SPH) plays a crucial role in shaping the climate of South America by influencing atmospheric and oceanic processes in Chile, such as upwelling, precipitation regime, and affecting the frequency of extreme climate events like heatwaves and extreme wildfires in the Mediterranean (30º-36ºS; MCh) and South-Central Chile (37º-42ºS; SCCh). Despite the relevance of SPH on the Chilean and South American climate at different time scales, its temporal Intensity changes have been partially understood to date. Here, we used monthly mean sea level pressure data from ERA5, spanning 1940 to 2024, to estimate the monthly SPH intensity (SPHI) following Barrett and Hameed (2017). We consider the annual year from January to December months, while summer is taken from the previous December to the current February, March to May as autumn, June to July as winter, and September to November as Spring. We examined annual and seasonal trends in SPHI and explored the relationships between gridded products of precipitation (Pr), minimum (Tn), and maximum temperatures (Tx) derived from the Centre for Climate and Resilience Research CR2 at 5 km. In addition, monthly surface soil moisture (SSM) from ERA5 has also analyzed with the SPHI. We computed Pearson correlations between the SPHI and the environmental variables during 1961-2024. Our findings indicate a significant increasing trend (p-value < 0.01) in the SPHI at annual and seasonal scales since 1940. In addition, Pearson correlations indicate a significant and negative relationship between SPHI and Pr and Tn at annual and all-year seasons in both sub-regions. The linkages between SPHI and Tx and SSM recorder significant and negative correlations during winter and spring in both sub-regions. Our results indicate severe changes in the SPHI on annual to seasonal scales, and also remark the strong modulation of the SPHI on Pr regime in both sub-regions. Furthermore, also reveals the relevance of the SPHI on the Tn modulation at annual and seasonal scales. Finally, relationships between SPHI and SSM in the spring are crucial to understanding, given the previous development of favourable fire conditions associated with wildfire dynamics and drought conditions in both Chilean sub-regions.

How to cite: Gonzalez-Reyes, A., Suazo Alvarez, M., Jacques-Coper, M., Christie Browne, D., and Bravo-Lechuga, C.: Changes in the South Pacific High intensity since the mid-20th century: implications and environmental impacts in the Mediterranean and South-Central Chile, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14770, https://doi.org/10.5194/egusphere-egu26-14770, 2026.

EGU26-14984 | Orals | NH7.1

Event-Scale Fire Behaviour Characterization from MTG/FCI Observations and Airborne Observation 

Ronan Paugam, Gilles Parent, Jean-Baptiste Filippi, Akli Benali, Jorge Gomes, Weidong Xu, Emanuel Dutra, Martin Peter Hofmann, Julien Ruffault, Francois Pimont, François André, Damien Boulanger, Vianney Retornard, Andrea Meraner, Cyrielle Denjean, and Victor Penot

The characterization of fire behavior from observations and its coupling with plume dynamics and atmospheric composition remains a major challenge for coupled fire–atmosphere modeling systems. In this context, that is the frame work of the EUBURN initiative, this work presents recent developments in the processing and exploitation of MTG-FCI (Meteosat Third Generation - Flexible Combined Imager) observations for the derivation of fire behavior descriptors, and exercise of validation against airborne infrared measurements acquired during the SILEX experimental airborne campaign conducted in southern France in summer 2025.

A dedicated processing framework based on the Fire Event Tracker (FET) algorithm is introduced. FET performs a spatio-temporal clustering of FCI hotspot detections provided by LSA-SAF to delineate individual fire events and derive event-scale fire behavior descriptors, including fire duration, Fire Radiative Energy (FRE), and time series of Fire Radiative Power (FRP), Forward Rate of Spread (FROS), and Fire Line Intensity (FLI). During the SILEX campaign, FET was operated in Near-Real-Time (NRT) and coupled with the ForeFire–MesoNH modeling system through automated now-casting system (FireCast) to simulate plume rise and dispersion, supporting the design of flight plans for the SAFIRE ATR42 research aircraft.

This summer, FET was also made operational over Portugal in collaboration with the Portuguese civil protection authority (ANEPC), with support from the VOST association. In this operational context, FET products mainly consisted of event-scale FRP time series that were used to monitor fire activity and detect reactivation during prolonged fire episodes.
More recently, FET has been extended to a retrospective processing mode, allowing the integration of the complete 2025 LSA-SAF hotspot archive over the Mediterranean basin. This provides a unique dataset of fire behavior descriptors at the scale of fire regime zones, from which initial sub-regional analyses are presented.

To support satellite product validation and provide high-resolution fire behavior characterization, Middle Wave Infrared (MWIR) thermal cameras were operated onboard the ATR42 during SILEX. These airborne observations provide meter-scale snapshots of active fire fronts and their radiative structure, enabling the assessment of sub-pixel fire heterogeneity and radiative variability and serving as a reference for evaluating FCI-derived FRP and their linkage to FET-derived fire perimeters.

In addition, FCI-derived FRE estimates are compared with fuel consumption measurements obtained by INRAE through post-fire field sampling at the Sigean site. This comparison provides an experimental evaluation of the consistency between satellite-based radiative estimates of biomass consumption and ground-based measurements, contributing to efforts to constrain relationships between FRE, fuel properties, and consumed biomass.

Overall, this work supports the development of an integrated fire characterization framework combining satellite and airborne observations, with direct relevance for the validation of coupled fire–atmosphere modeling systems such as ForeFire–MesoNH. By jointly addressing fire behavior, plume development, aerosol emissions, and atmospheric chemistry, the EUBURN project contributes to advancing event-based wildfire representations in next-generation fire–atmosphere and air quality models.

How to cite: Paugam, R., Parent, G., Filippi, J.-B., Benali, A., Gomes, J., Xu, W., Dutra, E., Hofmann, M. P., Ruffault, J., Pimont, F., André, F., Boulanger, D., Retornard, V., Meraner, A., Denjean, C., and Penot, V.: Event-Scale Fire Behaviour Characterization from MTG/FCI Observations and Airborne Observation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14984, https://doi.org/10.5194/egusphere-egu26-14984, 2026.

EGU26-15094 | Orals | NH7.1

Wildfires and Weather Variability in South-Central Chile 

Martín Jacques-Coper, Natalia Ruiz, Manuel Suazo-Alvarez, Christian Segura, Catalina Mendiburo, Matías Pérez, Alvaro González-Reyes, Francisco de la Barrera, and Andrés Holz

The wildfire regime in South-Central Chile (SCC, 30º to 44ºS) has changed in recent decades due to changes in land use, climate conditions, and characteristics of weather extreme events. While during 1976-2016, the mean annual burned area was ~54,000 ha, during the last decade a sequence of seasons multiplied that value, in particular 2016-2017 with 570,000 ha and 2022-2023 with 450,000 ha. To the north of this region, the fire regime is fuel-limited (e.g. amount and connectivity of biomass), while to the south, it is primarily climate-limited (i.e. plenty of wet fuels). In contrast to all other Mediterranean regions worldwide, SCC has a very low rate of natural ignitions (<1% of wildfires), whereas 99% of fires are caused by humans. In SCC, large-scale plantations of flammable exotic species and invasive trees and shrubs have modified the fuel structure particularly since the mid-1970s, leading to an increase in fire risk. Within this context and beyond climate variability, in this work we unveil crucial aspects on the relationship between wildfires and weather variability in SCC. 

As a first task, we identify weather patterns associated with relatively large wildfires (>520 ha, N~800) within 7 SCC sub-regions, previously delimited according to climate, topography, and land use. Using historical wildfire records (including start date, duration, and burned area) from the National Forestry Corporation (CONAF) spanning 1984-2025, we describe the mean local 15-days evolution of weather conditions centered on the start dates of wildfires. For this, we use daily ERA5 data, including maximum temperature, minimum specific humidity, mean sea-level pressure, and maximum surface wind intensity. Furthermore, within each subregion, a cluster analysis reveals distinct mean weather sequences and typical thresholds for these variables related to wildfires. While subtle weather variability is detected in the northern part of SCC, for the southern part of SCC our analysis reveals the relevance of mid-latitud synoptic variability–in particular blocking patterns induced by migratory anticyclones–, as well as associated mesoscale phenomena, especially coastal lows and foehn wind systems. Moreover, prominent differences in wildfire characteristics are found between distinct extreme weather events, such as heat waves and single hot days.

As a second task, we explore the intra-seasonal evolution leading to selected weather patterns associated with wildfires in SCC. We find groups of events that reveal different sequences of significant mid-latitude and tropical circulation anomalies up to 14 days before the wildfire start dates. For each group, we show that the corresponding weather-fire relationship is in fact mediated by a distinct trajectory of the Fire Weather Index (FWI). Finally, we suggest a scheme based on the Madden-Julian Oscillation (MJO) index and the Standardized Extra-Tropical Index (sETI) to monitor intra-seasonal atmospheric teleconnections favoring weather fire in SCC.

How to cite: Jacques-Coper, M., Ruiz, N., Suazo-Alvarez, M., Segura, C., Mendiburo, C., Pérez, M., González-Reyes, A., de la Barrera, F., and Holz, A.: Wildfires and Weather Variability in South-Central Chile, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15094, https://doi.org/10.5194/egusphere-egu26-15094, 2026.

EGU26-15326 | ECS | Orals | NH7.1

The effect of global warming on forest fires in Canada 

Daniel Garduno, Andrew Weaver, Cynthia Whaley, Carsten Abraham, and Stanley Netherton

The Canadian Fire Weather Index (CFWI) system is a wildfire risk evaluation tool used in several countries. This index estimates fire intensity based on meteorological variables. We use the CFWI framework to investigate how global warming will impact the risk of forest fires in Canada. We calculate the CFWI indices in equilibrium 5000-year integrations of the Canadian Earth system model (CanESM5) with different prescribed atmospheric CO2 levels (pre-industrial to 4x pre-industrial). We find that higher atmospheric CO2 levels lead to higher fire weather index (FWI) values and longer fire seasons across Canada. The yearly maximum FWI values also tend to increase with CO2, suggesting that global warming will raise the risk of extreme wildfire. The FWI  increase is mainly driven by temperature: higher CO2 levels and temperatures lead to more efficient and sustained drying periods, resulting in more flammable, drier fuel for forest fires. However, more CO2 in the atmosphere also leads to more precipitation, higher relative humidity, and slower wind speeds, resulting in regional differences in the response of CFWI to changes in CO2. We further conduct a regional analysis of fire indices to examine how global warming will impact Canada at the provincial level. This model-based information will be useful to evaluate the risk of wildfire across Canada in the future, and a similar analysis could be applied in other world regions.

How to cite: Garduno, D., Weaver, A., Whaley, C., Abraham, C., and Netherton, S.: The effect of global warming on forest fires in Canada, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15326, https://doi.org/10.5194/egusphere-egu26-15326, 2026.

EGU26-16366 | Orals | NH7.1

Forest fire damage assessment using Sentinel-1 dual-polarimetric SAR data 

Anam Sabir and Unmesh Khati

Forest fires are emerging as an increasingly severe threat to terrestrial ecosystems worldwide, with a reported 246% increase in fire occurrences across the western United States over the past decade. This rapid escalation highlights the urgent need for robust, objective, and scalable forest monitoring approaches capable of detecting fire disturbances in a timely manner. Synthetic aperture radar (SAR), with its all-weather, day-and-night imaging capability, offers significant advantages for operational forest monitoring, particularly in fire-prone regions. In this study, we employ Sentinel-1 C-band SAR data to monitor forest dynamics and map fire-affected areas, with a specific application to the 2025 California forest fires. Sentinel-1 Single Look Complex (SLC) data acquired between 19 June 2024 and 16 June 2025 were processed using the InSAR Scientific Computing Environment (ISCE). The SLC data was used to derive gamma-nought backscatter, alpha angle, and entropy. A statistical change detection framework based on the cumulative sum (CuSUM) method was implemented to identify the timing of fire-induced disturbances. For each pixel, residuals were computed as deviations from the temporal mean, and their cumulative sums were tracked over time. Abrupt shifts exceeding a predefined threshold were interpreted as change events, with the corresponding acquisition dates assigned as pixel-wise change dates. The threshold was adapted to scene-specific characteristics to mitigate false alarms arising from seasonal variability. The algorithm was applied to multitemporal stacks of SAR backscatter, α (alpha) scattering angle, and entropy, producing raster products in which pixel values represent estimated disturbance dates. Validation was conducted using independent vector-based building damage data derived from CALFIRE and compiled by Environmental Systems Research Institute, Inc. (ESRI) for the January 2025 California fires. A comprehensive accuracy assessment was performed by comparing SAR-derived fire-affected areas with the reference data. The results demonstrate that SAR-derived polarimetric parameters provide complementary information for detecting fire disturbances, with VH backscatter yielding the highest agreement (precision: 0.7, F1 score: 0.4) with reference data. Overall, this study presents an efficient and scalable SAR-based framework for near-real-time mapping of forest fire-affected areas, supporting timely disaster response and contributing to sustainable forest management and risk mitigation strategies.

How to cite: Sabir, A. and Khati, U.: Forest fire damage assessment using Sentinel-1 dual-polarimetric SAR data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16366, https://doi.org/10.5194/egusphere-egu26-16366, 2026.

EGU26-16930 | ECS | Posters on site | NH7.1

Global Monitoring of Post-Fire Forest Recovery Using Satellite-Derived Vegetation Indicators 

Jakob Everke, Ruxandra-Maria Zotta, Nicolas Bader, and Wouter Dorigo

Wildfires pose a major threat to forest ecosystems worldwide, leading to substantial losses in ecosystem services. Since forests play a critical role in climate change mitigation and climate regulation, quantifying the rate and completeness of post-fire recovery is essential for assessing long-term ecosystem functionality. However, robust approaches to characterize the timing and trajectories of functional recovery after fire remain limited, particularly at large spatial and temporal scales.
Satellite remote sensing provides a unique opportunity to address this challenge by enabling globally consistent, long-term monitoring of post-fire vegetation dynamics across different land cover types, complementing the limited spatial and temporal coverage of ground-based observations. Based on the Fire Climate Change Initiative (Fire CCI) dataset, fire events are identified globally and used to define the spatial and temporal framework for the analysis. For each fire event, post-fire recovery trajectories are constructed from satellite-derived vegetation indicators capturing complementary aspects of forest condition and ecosystem functioning, including vegetation greenness (NDVI, EVI), canopy structure (LAI), and photosynthetic activity (FPAR). 
These recovery trajectories allow post-fire recovery rates and relative recovery levels to be quantified and compared across land cover types at the global scale, revealing spatial differences and variability in recovery dynamics. The framework thus provides a scalable approach to assess long-term changes in forest ecosystem functionality following wildfires and to evaluate how post-fire recovery dynamics vary across land cover types and over time.

How to cite: Everke, J., Zotta, R.-M., Bader, N., and Dorigo, W.: Global Monitoring of Post-Fire Forest Recovery Using Satellite-Derived Vegetation Indicators, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16930, https://doi.org/10.5194/egusphere-egu26-16930, 2026.

EGU26-19149 | Posters on site | NH7.1

Modeling fire occurrence and tree mortality in Belgium for the 21st century using downscaled CMIP6 climate simulations 

Nicolas Ghilain, Louis Francois, Benjamin Lecart, Thomas Dethinne, Francois Jonard, and Xavier Fettweis

Climate change is expected to significantly alter regional fire regimes and forest vulnerability in temperate regions, including western Europe. In Belgium, wildfires have historically been relatively rare, but recent regional studies show a potential threat to population due to an increase of fire-prone climate conditions (Cerac, 2025). In this study, we assess future fire occurrence and tree mortality in Belgium over the 21st century using high-resolution, downscaled climate projections from the CMIP6 ensemble. Daily temperature, radiation, precipitation, humidity, and wind fields are dynamically downscaled by the regional climate model MAR (Grailet et al, 2025) to drive the dynamical vegetation model CARAIB (Verma et al, 2025) to derive occurrence of vegetation ignition and tree mortality for selected widespread species in Belgium. The simulations are performed for multiple baseline emission scenarios from IPCC (SSP2-4.5, SSP3-7.0 and SSP 5-8.5).

We show the main behavior of fire ignition occurrence and tree mortality obtained from the modeling exercise, first with a verification of the capabilities on the past period (1980-2025) when possible, and then with the future modelled trends (till 2100), especially in relation with the increase in the frequency and duration of summer drought periods and of the compound heat-dry events. Limitations of this exercise will be discussed to frame our future work.

This work provides one of the first climate-driven assessment of future fire risk and forest mortality for Belgium in the wake of the national climate downscaling experiment Cordex.Be2 (https://cordex.meteo.be/). It highlights emerging threats to temperate belgian forest ecosystems and offers a frame for quantitative information to support long-term forest management and adaptation strategies.

Cerac (2025): https://www.cerac.be/sites/default/files/media/files/2025-02/rpt_wildfire_risks_in_belgium_20250228_cerac_ngi_en_v2.0.pdf

Verma et al (2025): https://www.sciencedirect.com/science/article/pii/S0301479725003056

Grailet et al (2025): https://gmd.copernicus.org/articles/18/1965/2025/

How to cite: Ghilain, N., Francois, L., Lecart, B., Dethinne, T., Jonard, F., and Fettweis, X.: Modeling fire occurrence and tree mortality in Belgium for the 21st century using downscaled CMIP6 climate simulations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19149, https://doi.org/10.5194/egusphere-egu26-19149, 2026.

EGU26-19978 | Posters on site | NH7.1

Projected changes in fire weather across South Asia using CMIP6 models under multiple emission scenarios  

Jonathan Eden, Zarmina Zahoor, Bastien Dieppois, and Matthew Blackett

The frequency and severity of wildfires are increasing, with damaging effects on infrastructure, human populations and ecosystems. To inform risk mitigation planning, climate change projections are essential for assessing future trends in fire weather - meteorological conditions conducive to wildfire ignition and spread - and subsequently for identifying areas likely to face heightened wildfire risk in the future. This is particularly important in regions where wildfires are emerging as a notable threat in areas not historically considered fire-prone. One such example is South Asia, a region home to two billion people and already facing significant challenges associated with climate and environmental change. 

Here, we examine how fire weather is likely to respond to a changing climate in South Asia. We first evaluate the ability of 14 state-of-the-art Earth System Model (ESM) ensembles from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) to realistically represent observed mean, variance, and spatial variability statistics in the Fire Weather Index (FWI), using the ERA-driven global fire danger reanalysis as a reference. Those ESMs demonstrating an acceptable performance are used to quantify changes in the characteristics of a series of FWI-derived annual indicators throughout the 21st century under four emissions scenarios defined by the Shared Socioeconomic Pathways (SSPs). These projections are also analysed in relation to Land Use and Land Cover (LULC) classifications for each scenario. We find that seasonal means and annual maxima of FWI are projected to increase by up to 10% by the end of the century under the highest emissions scenario, while the incidence of extreme fire weather may rise by as much as 20 days per year under SSP5-8.5. Regarding projected changes across different LULC types, our results reveal significant positive trends in FWI metrics over forest and grassland areas under all SSP scenarios. 

Overall, our findings contribute to a better understanding of future fire weather in a region historically unprepared for wildfire threats. We conclude by discussing the implications of these results for a range of stakeholders and their potential to enhance planning and preparedness at national and regional scales across South Asia, supporting the development of long-term mitigation and adaptation strategies. 

How to cite: Eden, J., Zahoor, Z., Dieppois, B., and Blackett, M.: Projected changes in fire weather across South Asia using CMIP6 models under multiple emission scenarios , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19978, https://doi.org/10.5194/egusphere-egu26-19978, 2026.

EGU26-20063 | ECS | Orals | NH7.1

Characterizing wildfire dynamics in steep terrain: a canyon fire field experiment 

Mario Miguel Valero Pérez, Craig B Clements, Andrew Klofas, Christopher C Giesige, Eric Goldbeck-Dimon, Salini Manoj Santhi, Thijs Stockmans, Jackson Yip, Maritza Arreola Amaya, and Paula Olivera Prieto

Wildfire dynamics are a highly coupled system depending on not only wildland fuel characteristics but also on topography and weather. Steep terrain features like canyons have been widely reported to produce significant effects on wildfire dynamics, such as sudden fire accelerations. However, these effects are poorly studied and not correctly captured in current models. Furthermore, observational data of wildfire dynamics in steep terrain is extremely scarce. In this work, we will present the study design and preliminary results from a canyon fire field experiment conducted in California (USA) in October 2022. The experiment was set up so that a high-intensity head fire was started and allowed to spread freely up a canyon of approximately 1 km in length and 300 m in elevation difference. The vegetation primarily consisted of chaparral shrubs. Fire dynamics were monitored using airborne multispectral infrared sensors. Vegetation was characterized before and after the burn through airborne lidar scans. Additionally, fire-weather interactions were investigated leveraging Doppler lidar and radar sensors as well as in-situ micrometeorological towers. A fire eruption was observed when the fire entered the canyon, providing evidence of terrain-induced modifications to fire behavior. Datasets like this one are key to study the complex interactions between fire dynamics, vegetation properties, terrain characteristics, and weather dynamics, and constitute an important resource for model development and validation.

Acknowledgements: This work was supported by the U.S. National Science Foundation (NSF) under award number 2053619, the NSF-IUCRC Wildfire Interdisciplinary Research Center, and the EU COST Action NERO (CA22164). The authors also thank the California Department of Forestry and Fire Protection (CAL FIRE) for coordinating the field experiment.

How to cite: Valero Pérez, M. M., Clements, C. B., Klofas, A., Giesige, C. C., Goldbeck-Dimon, E., Manoj Santhi, S., Stockmans, T., Yip, J., Arreola Amaya, M., and Olivera Prieto, P.: Characterizing wildfire dynamics in steep terrain: a canyon fire field experiment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20063, https://doi.org/10.5194/egusphere-egu26-20063, 2026.

EGU26-20076 | Posters on site | NH7.1

Comparative wildfire susceptibility modelling in heterogeneous terrains 

Boglárka Bertalan-Balázs, László Bertalan, Jesús Rodrigo Comino, Szabolcs Balogh, and Dávid Abriha

As wildfire frequency and intensity escalate globally due to climate change, the development of robust, scalable predictive models becomes critical for effective disaster risk reduction. This research evaluates the adaptability of the Spatio-Temporal Google Earth Engine (STGEE) framework, originally designed for soil erosion modelling, to generate Wildfire Susceptibility Indices (WSI) across morphologically contrasting environments. The study focuses on two distinct sample areas: the rugged, mountainous terrain of Los Guájares, Spain, and the flat, homogeneous landscape of Hortobágy National Park, Hungary.

The methodology employs a Machine Learning (ML) approach within the cloud-computing environment of Google Earth Engine (GEE). A key innovation of this study is the adaptive selection of mapping units based on geomorphological characteristics. For the mountainous Spanish region, Slope Units (SUs) bounded by drainage and divide lines are utilized to capture topographic effects such as wind patterns and fire acceleration. Conversely, a pixel-based approach (30m * 30m) is applied to the Hungarian plain to address the relative topographic homogeneity.

The modelling process integrates a dual-component database. The inventory dataset comprises historical fire extents derived from Landsat and Sentinel-2 (MSI) products, paired with randomly sampled pseudo-absences. These are correlated with a suite of multi-source environmental conditioning factors, including topographic metrics (elevation, slope, aspect, TWI), vegetation and fuel proxies (NDVI, EVI), hydrological status (MNDWI), climatic variables (LST, precipitation, wind speed), and anthropogenic drivers (distance to roads and settlements).

Predictive modelling is performed using the Random Forest (RF) ensemble algorithm, selected for its capacity to handle non-linear interactions and multi-collinearity. To ensure model robustness and mitigate spatial autocorrelation, performance is validated using Spatial K-fold Cross-Validation. Model accuracy is assessed via the Area Under the Receiver Operating Characteristic Curve (AUROC), while Variable Importance Measurement (VIM) based on Gini Impurity is used to identify dominant fire drivers.

Preliminary hypotheses suggest that susceptibility in Los Guájares is primarily driven by topographic factors, specifically slope and aspect, whereas the Hortobágy model is expected to show higher sensitivity to vegetation moisture content and anthropogenic proximity. By successfully applying a unified methodology to heterogeneous terrains, this research aims to demonstrate the versatility of the STGEE framework in supporting targeted fire prevention strategies across diverse landscape types.

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This research was funded by the Vicerrectorado de Investigación (University of Granada) with the Plan Propio PP2022.PP-12 on the “Caracterización de propiedades clave en la relación agua-suelo para el estudio de la influencia del fuego en el balance hídrico y el carbono para el planteamiento de estrategias de restauración”. Also, it is based on work funded by COST Action (grant no. FIRElinks CA18135), supported by COST (European Cooperation in Science and Technology).

How to cite: Bertalan-Balázs, B., Bertalan, L., Rodrigo Comino, J., Balogh, S., and Abriha, D.: Comparative wildfire susceptibility modelling in heterogeneous terrains, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20076, https://doi.org/10.5194/egusphere-egu26-20076, 2026.

EGU26-20218 | ECS | Orals | NH7.1

Validating expert-based fuel model by field observations and simulations  

Mariana Silva Andrade, Katrin Kuhnen, Mortimer M. Müller, and Harald Vacik

Accurate fuel model mapping is essential for supporting the prediction of forest fire ignition and fire propagation. Although standardized fuel model classifications are widely applied in fire sciences, their performance is often limited when evaluated against field observations, largely due to the high variability within the different fuel categories. Especially in Central Europe there are less experiences with the application of different fuel model classification due to the lack of experiences in the predicting fire behavior under the specific environmental conditions and the lower number of larger fire events. This study addresses these needs by proposing a validation framework to ensure that fuel models assigned to a certain forest patch or landscape allow to represent real-world fire behavior. 

To develop the fuel model map for this study, experts combined field measurements on fuel loads with the results of the interpretation of aerial imagery to classify fuels, assigning classes for each 10x10m pixel according to the Scott and Burgan (2005) fuel models based on their interpretation. The proposed validation framework of the fuel model map for this study integrates observed field data from forest fires and prescribed burns in the past to estimate selected fire behavior parameters, such as flame length and rate of spread (ROS). These field observations serve as a ground truth to evaluate the accuracy of a developed customized fuel map using expert-based knowledge. Additionally, we simulate fire behavior with the BehavePlus package for the expert-assigned fuel models, to determine if the simulated parameters match the observed field data, thereby validating whether the fuel model assigned to a given area is both appropriate and provides physically realistic fire behavior. Furthermore, we utilize the Rothermel R package, which implements the mathematical equations of the Rothermel (1972) fire spread model, to reverse-analyze field data and identify the most probable fuel model for a given condition. In a next step, we compare the fuel models suggested by the algorithmic with the fuel models assigned by the expert judgments and the fire behavior parameters derived from BehavePlus. 

The results of this study show that customized fuel models based on expert knowledge outperform standardized fuel classifications in representing real-world fire behavior. Reverse fitting of field data using the Rothermel’s model is likely to show differences between algorithmically derived parameters and expert-assigned fuel models, particularly in complex and heterogeneous landscapes. Overall, the integration of field observations with expert-based fuel modeling is expected to reduce uncertainty in fire behavior simulations by: i) comparing simulated fire behavior parameters to field observations; and ii) using the Rothermel R package to validate expert-assigned fuel models, diagnose mismatches and refine fuel assignments. 

How to cite: Silva Andrade, M., Kuhnen, K., M. Müller, M., and Vacik, H.: Validating expert-based fuel model by field observations and simulations , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20218, https://doi.org/10.5194/egusphere-egu26-20218, 2026.

In this contribution, we present a Lagrangean approach to forest fire modelling. The fire perimeter is represented by a three-dimensional discrete curve on a surface. Our mathematical model is based on empirical fire spread laws influenced by the fuel properties, wind, terrain slope, and shape of the fire perimeter with respect to the topography (geodesic and normal curvatures). The motion of the fire perimeter is governed by the intrinsic advection-diffusion equation. 
To obtain the numerical solution, we employ the semi-implicit scheme to discretize the curvature term. For the advection term, we use the so-called inflow-implicit/outflow-explicit approach combined with the implicit upwind scheme. A fast treatment of topological changes (splitting and merging of the curves) is also incorporated and briefly described .
The propagation model is applied to artificial and real-world experiments. To adapt our model to wildfire conditions, we tune the model parameters using the Hausdorff distance as a criterion. Using data assimilation, we estimate the normal velocity of the fire front (rate of spread), the dominant wind direction and selected model parameters.

How to cite: Ambroz, M. and Mikula, K.: Forest fire propagation modelling by evolving curves on topography incorporating data assimilation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20807, https://doi.org/10.5194/egusphere-egu26-20807, 2026.

Mediterranean ecosystems are increasingly exposed to frequent and high-severity wildfires, driven by rising temperatures, prolonged droughts, and land-use change, making wildfire one of the dominant disturbance agents shaping forest structure and function. There is a concern that frequent and high-severity wildfires may threaten the resilience of forests, even in fire-prone forest ecosystems, and their ability to recover to pre-fire levels. This has implications for carbon storage, biodiversity conservation, water regulation, and the long-term provision of ecosystem services on which both local communities and broader society depend. The availability of long-term multispectral satellite time series has demonstrated the ability to estimate the instantaneous impact of fires on forests and the recovery trajectories. Yet, spectral recovery is two-dimensional and does not necessarily mean functional, structural or compositional recovery which may be slower than simply tracking the greenness index trajectories. GEDI lidar metric display a larger variety of fire responses that spectral metrics but are only available since 2019. This study combines structural GEDI metrics with a Landsat-based historical forest disturbance to estimate the structural recovery of forests post fire in Greece from the 1985. Overall, we find post-fire vegetation recovery in Greece, using GEDI biomass, height, canopy cover, and foliage height density, likely takes 50 or more years. Low-intensity and small spatial scale fires recover within the first 20-30 years, while high-intensity and large fires show forest recovery likely >50 years. There is also some evidence of a lack of recovery trajectory or a new ecosystem state within the first 40 years for some regions. This work demonstrates how integrating lidar with long-term spectral archives can provide regional scale post-fire structural recovery assessments, can provide critical information to constrain terrestrial biosphere models predicting fire impacts and forest recovery, and can begin providing more targeted data locally to regionally for fire management, restoration practices and climate mitigation.

How to cite: Antonarakis, A.: Long-term Structural Recovery of Wildfire-affected Forests in Greece using GEDI and Landsat, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21174, https://doi.org/10.5194/egusphere-egu26-21174, 2026.

Wildfires initiate a hazard chain that significantly alters landscapes and geohydrological processes. In addition to the extensively documented effects on vegetation, soil erosion, and debris flows, steep and rocky terrains may experience delayed yet persistent slope instabilities. However, post-wildfire hazard assessment frameworks still predominantly use the soil burn severity indicators for any type of mass wasting processes, while the response of rock masses and their contribution to post-fire hazards remain underrepresented.
This study addresses this gap by proposing an integrated, rapid assessment approach to evaluate post-wildfire rock slope instability. The motivation of this study is the necessity of cost-effective and timely tools that support emergency response and short- to medium-term risk management in mountainous Mediterranean environments where infrastructure, settlements, and transportation corridors are exposed to post-fire hazards.
The proposed methodology combines Sentinel-2 Level-2A multispectral imagery with field-based observations. Burn severity was mapped using the differenced Normalized Burn Ratio (dNBR), and field surveys were conducted to validate spectral classifications and to identify fire-induced rock degradation indicators. In contrast to conventional soil burn severity observations, special attention was given to rock-specific responses. The rock burn severity indicators were semi-quantitatively evaluated and integrated within a GIS-based framework to identify potential slope sectors with increased rockfall susceptibility.
Results show that wildfire-induced thermal alteration can significantly weaken carbonate rock surfaces and discontinuities without necessarily leading to rapid slope failures. Wildfire functions as a conditioning mechanism that elevates the susceptibility of rock slopes to subsequent triggers, including rainfall infiltration, runoff concentration, and solar radiation cycles. 
The study emphasizes the importance of incorporating rock-specific burn severity indicators into post-wildfire rock slope stability assessments. Such an approach supports more comprehensive risk inventories and improves prioritization of mitigation and monitoring strategies. The findings contribute to ongoing efforts to integrate field observations and remote sensing.

How to cite: Kadakci Koca, T.: Assessing Wildfire-Induced Changes in Rock Slopes Using Field Observations and Satellite Data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21604, https://doi.org/10.5194/egusphere-egu26-21604, 2026.

EGU26-21833 | ECS | Posters on site | NH7.1

Using Synthetic Controls to Evaluate Wildfire Policy Impacts: Evidence from Madia’s Law in Italy 

Judith A. Kirschner, Johannes Kirschner, Davide Ascoli, Jose V. Moris, George Boustras, and Gian Luca Spadoni

Wildfire policies commonly define agency responsibility for wildfire management, but policy effectiveness is difficult to evaluate because of multiple interacting factors. Our research aims to determine (1) if synthetic control estimations can serve as a data-driven approach to assess effects of wildfire policy interventions, and (2) if the wildfire regime in Italy has been altered in response to a policy intervention (Madia’s law) that in 2017 imposed changes in the wildfire management system in most regions. Using a control pool of European countries, and with and without consideration of fire weather, we demonstrate that synthetic control estimations can be a suitable approach to model counterfactual trends in fire activity following a policy intervention. In Italy, models suggest the attribution of higher burned area and average fire size in the first year after Madia’s Law policy intervention was effective, though the effect appears to a varying degree across regions. We conclude that synthetic control estimations can form a valuable complement to expert-based assessments of wildfire policies in a range of flammable landscapes, although challenges remain due to complex interacting factors.

How to cite: Kirschner, J. A., Kirschner, J., Ascoli, D., Moris, J. V., Boustras, G., and Spadoni, G. L.: Using Synthetic Controls to Evaluate Wildfire Policy Impacts: Evidence from Madia’s Law in Italy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21833, https://doi.org/10.5194/egusphere-egu26-21833, 2026.

EGU26-693 | ECS | Posters on site | HS6.8

Analysing the Crop Model Inversion Technique in the AquaCrop model under varying levels of Rainfall, Initial Soil Moisture, and Soil Texture 

Aatralarasi Saravanan, Daniel Karthe, Boomiraj Kovilpillai, and Niels Schütze

Reliable identification of agro-hydrometeorological change in developing countries is hindered by sparse and declining monitoring networks as well as limited data-management capacity. Increasing access to accurate, high-resolution agro-hydrometeorological data would improve hydrological model predictions and ultimately support better decision-making. One promising strategy to address data scarcity is model inversion of crop simulation models, where time-resolved crop growth information at the field scale can act as a proxy for soil moisture and, by extension, irrigation amounts.

In this study, we evaluate a yield-based inversion approach within AquaCrop, in which the observed final crop yield is used as the inversion target to retrospectively estimate seasonal irrigation. Under uniform, continuously applied irrigation, inferred irrigation amounts were generally accurate, with errors within ±10%. Model performance was strongly affected by the soil’s available water storage capacity, which is governed by texture. Incorporating information on soil texture, irrigation pattern (continuous vs. non-continuous), and rainfall substantially improved inversion accuracy. In contrast, under non-uniform or non-continuous irrigation regimes, the method tended to overestimate irrigation substantially. These findings suggest that yield-constrained inversion can reliably estimate irrigation in controlled settings but is less robust under intermittent or spatially heterogeneous irrigation. As a next step, we will invert AquaCrop using temporally resolved vegetation data rather than final yield to better constrain soil-moisture dynamics and reduce bias under complex irrigation patterns.

How to cite: Saravanan, A., Karthe, D., Kovilpillai, B., and Schütze, N.: Analysing the Crop Model Inversion Technique in the AquaCrop model under varying levels of Rainfall, Initial Soil Moisture, and Soil Texture, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-693, https://doi.org/10.5194/egusphere-egu26-693, 2026.

EGU26-2359 | Orals | HS6.8

Remote Sensing-Based Estimation of Irrigation Water Use and Supply in the Amibara Irrigation Scheme, Ethiopia: A Multi-Scale Assessment  

Kirubel Mekonnen, Mulugeta Tadesses, Naga Manhoor Velpuri, Mohammed Abedella, Mansoor Leh, Komlavi Akpoti, Afua Owusu, and Abdulkarim H. Seid

Accurate estimation of irrigation water use and supply is essential for effective irrigation management, yet most withdrawals remain unmetered and unreported in many irrigation schemes. This study applied a remote sensing–based approach to quantify irrigation water use and supply in the Amibara Irrigation Scheme, Ethiopia. The irrigation component of crop evapotranspiration (Blue ET) was isolated using the Water Accounting Plus (WA+) framework and integrated with irrigation efficiency parameters to derive remote sensing–based irrigation supply (RbIS) estimates across multiple spatial scales. Moreover, we developed crop type maps for 2010 and 2024 and a digitized irrigation layout to evaluate irrigation performance using relative evapotranspiration (RET) and relative irrigation supply (RIS) and to compare changes between the two years.

Crop type mapping revealed a substantial decline in irrigated area, from 9,941 ha in 2010 to 4,532 ha in 2024.  RbIS showed  reasonable agreement with reported supply in 2010 (R² = 0.6) and measured supply in 2024 (R² = 0.8), though it consistently underestimated observed supply in both years. Irrigation distribution was relatively better in 2010, with 46% of blocks experiencing deficits compared to 70% in 2024, while excess irrigation decreased from 50% of blocks in 2010 to 26% in 2024.  RET and RIS estimates were generally consistent across most irrigation blocks, reinforcing the robustness of these performance indicators. However, irrigation performance varied substantially across blocks and canals, with irrigation deficits evident in both years. Key informant interviews and focus group discussions further corroborated these irrigation water deficits, supporting the remote sensing–based assessment. Overall, the methodology of this study is scalable for data-scarce regions and offers strong potential for operational irrigation monitoring to support targeted interventions.

How to cite: Mekonnen, K., Tadesses, M., Velpuri, N. M., Abedella, M., Leh, M., Akpoti, K., Owusu, A., and Seid, A. H.: Remote Sensing-Based Estimation of Irrigation Water Use and Supply in the Amibara Irrigation Scheme, Ethiopia: A Multi-Scale Assessment , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2359, https://doi.org/10.5194/egusphere-egu26-2359, 2026.

EGU26-3046 | Posters on site | HS6.8

Integrating satellite vegetation indices and drought metrics for agro-hydrological monitoring of rainfed olive orchards 

Francisco Jesús Moral García, Nazaret Crespo-Cotrina, Francisco Javier Rebollo Castillo, Luis Padua, Paula Paredes, João A. Santos, and Helder Fraga

Rainfed olive orchards are highly vulnerable to drought in Mediterranean regions, where climate change is intensifying water scarcity and climatic variability. This study presents a spatio-temporal assessment of drought impacts on rainfed olive groves in two traditional olive-growing areas of the Iberian Peninsula: the Trás-os-Montes (TM) agrarian region in northeastern Portugal and the province of Badajoz (BA) in southwestern Spain. These regions share Mediterranean climatic conditions but differ in drought severity, land characteristics, and agro-environmental contexts.

Vegetation dynamics were analyzed over an eight-year period (2015–2023) using satellite data from the Harmonized Landsat–Sentinel-2 (HLSL30) product. Two vegetation indices were selected to characterize olive orchard conditions: the Soil-Adjusted Vegetation Index (SAVI), which reduces soil background effects in sparsely vegetated systems, and the Normalized Difference Moisture Index (NDMI), which is sensitive to canopy water content and vegetation moisture status. These indices enabled the evaluation of seasonal and interannual variability in vegetation response to water stress.

Drought conditions were quantified using the Mediterranean Palmer Drought Severity Index (MedPDSI), a drought indicator specifically adapted to Mediterranean climates and olive tree ecophysiology. The relationship between drought severity and vegetation response was examined through correlation and lagged-response analyses, allowing the identification of delayed vegetation reactions to drought events.

The results indicate clear regional contrasts in both drought characteristics and vegetation response. BA experienced more intense, prolonged, and frequent drought episodes than TM, particularly during the warm season. Seasonal variations in SAVI and NDMI were strongly correlated with MedPDSI values in both regions, with the strongest vegetation response observed at a lag of approximately two months. This delay reflects the cumulative physiological effects of water stress on olive trees rather than immediate responses.

Extreme drought years, especially 2017 and 2022, were associated with pronounced declines in both vegetation indices, indicating increased stress and reduced canopy vigor during the dry season. Rainfed olive orchards in BA showed greater susceptibility to long-term drought impacts, whereas TM exhibited slightly higher resilience, potentially related to milder climatic conditions or local environmental and management factors.

This study demonstrates the value of integrating satellite-derived vegetation indices with drought indicators to monitor drought impacts on rainfed olive systems. The proposed approach provides useful information for drought monitoring, risk assessment, and the development of adaptive management strategies aimed at improving the resilience and sustainability of Mediterranean olive orchards under ongoing climate change.

How to cite: Moral García, F. J., Crespo-Cotrina, N., Rebollo Castillo, F. J., Padua, L., Paredes, P., Santos, J. A., and Fraga, H.: Integrating satellite vegetation indices and drought metrics for agro-hydrological monitoring of rainfed olive orchards, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3046, https://doi.org/10.5194/egusphere-egu26-3046, 2026.

EGU26-3047 | Posters on site | HS6.8

Integrating climatic aridity indices and satellite vegetation indicators for agro-hydrological monitoring of vineyard drought stress 

Francisco Javier Rebollo Castillo, Nazaret Crespo-Cotrina, Francisco Jesús Moral García, Luís Pádua, André M. Claro, André Fonseca, Luis Lorenzo Paniagua Simón, Abelardo García Martín, João A. Santos, and Helder Fraga

Vineyards in the Iberian Peninsula are highly sensitive to water stress driven by climate variability, particularly under the increasing frequency and intensity of drought events associated with climate change. Reliable, long-term indicators of water availability are therefore essential for monitoring vineyard vulnerability and supporting agro-hydrological assessment and adaptation strategies at regional scales. This study evaluates the performance of the De Martonne Aridity Index (DMI) as a climatic indicator for long-term monitoring of drought stress in vineyards across the Iberian Peninsula over the period 1993–2022.

Monthly DMI values were computed using bias-corrected temperature and precipitation data from the ERA5-Land reanalysis, allowing for a consistent characterization of aridity conditions over three decades. Vineyard conditions were independently assessed using the Vegetation Health Index (VHI), derived from satellite observations and spatially restricted to vineyard land-cover areas. The VHI integrates information on vegetation vigor and thermal stress, providing an effective proxy for plant response to water stress. Drought severity classes based on DMI were systematically compared with VHI-derived vegetation stress classes through spatial and temporal analyses.

The results reveal a strong correspondence between low DMI values and reduced VHI, particularly during periods classified as severe and extreme drought. This agreement indicates that the DMI effectively captures major water stress conditions affecting vineyard systems, despite its simple formulation and limited data requirements. Temporal analyses show that prolonged dry periods identified by DMI are consistently associated with sustained vegetation stress signals, while spatial patterns highlight a higher recurrence and persistence of drought impacts in central and southern regions of the Iberian Peninsula. In contrast, northern areas exhibit lower drought frequency and reduced vineyard vulnerability.

Overall, the findings demonstrate that the De Martonne Aridity Index provides a robust and practical indicator for regional-scale vineyard drought monitoring. When combined with satellite-based vegetation indices, DMI contributes valuable climatic context for agro-hydrological assessment, supporting drought impact analysis, water resource evaluation, and climate adaptation studies. Its simplicity and scalability make it particularly suitable for long-term monitoring frameworks and for complementing remote sensing approaches in viticultural water management under changing climatic conditions.

How to cite: Rebollo Castillo, F. J., Crespo-Cotrina, N., Moral García, F. J., Pádua, L., Claro, A. M., Fonseca, A., Paniagua Simón, L. L., García Martín, A., Santos, J. A., and Fraga, H.: Integrating climatic aridity indices and satellite vegetation indicators for agro-hydrological monitoring of vineyard drought stress, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3047, https://doi.org/10.5194/egusphere-egu26-3047, 2026.

EGU26-5675 | ECS | Orals | HS6.8

From Water Deficits to Storage Solutions: A Remote Sensing–Based Water Balance Framework 

Afua Owusu, Felicia Yeboah, Naga Manohar Velpuri, Muluken Adamseged, Mansoor Leh, Komlavi Akpoti, Kirubel Mekonnen, and Petra Schmitter

Agriculture is the largest consumer of freshwater globally, yet reliable estimates of irrigation water requirements and withdrawals remain scarce, particularly in data-poor and rainfed-dominated regions. In sub-Saharan Africa, increasing climate variability and growing food demand are intensifying seasonal water stress and highlighting the need for improved water management and irrigation planning tools.

We present the Securing Water in Agriculture (SWAG) tool, an agro-hydrological framework that integrates remote sensing–derived evapotranspiration with land-use and crop data to quantify spatially and temporally explicit crop water demand, deficits, and irrigation surpluses. Beyond these, SWAG evaluates management interventions, including small-scale storage and water reallocation within irrigation schemes.

The framework was applied across Kenya’s central highlands from 2019 to 2023. Results indicate monthly deficit volumes are largest in the dry season from June to September, with particularly severe conditions in 2021 and 2022, when monthly deficits exceeded 150 million m³. Surplus volumes are present but generally smaller, typically remaining below 100 million m³. On a monthly basis, cropland deficit areas range from approximately 18,000 ha during wet months to up to 450,000 ha at the height of the dry season, whereas surplus areas in a given month are consistently smaller, varying between approximately 17,000 and 98,000 ha per month.

To support irrigation management and to meet the deficits, SWAG evaluates the spatial feasibility and seasonal performance of small-scale storage (e.g. 1,000 m³ farm ponds) through pond-scale water balance simulations. Results indicate that storage potential is highest in small headwater catchments, where potential pond densities locally exceed 25 ponds km⁻², while most catchments accommodate fewer than 10 ponds km⁻². On average, runoff volumes exceed 2,000 million m³ during the rainy season months (April–May and October–November), and pond water levels remain high during subsequent deficit periods, indicating that additional storage can generally offset deficits.

By coupling spatially and temporally explicit water demand analytics with storage and reallocation options, the SWAG framework helps close the agricultural water budget in data-scarce basins and provides a practical decision-support tool for improving irrigation management, water use efficiency, and climate resilience in vulnerable farming systems.

How to cite: Owusu, A., Yeboah, F., Velpuri, N. M., Adamseged, M., Leh, M., Akpoti, K., Mekonnen, K., and Schmitter, P.: From Water Deficits to Storage Solutions: A Remote Sensing–Based Water Balance Framework, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5675, https://doi.org/10.5194/egusphere-egu26-5675, 2026.

EGU26-6080 | ECS | Posters on site | HS6.8

Detecting irrigation at catchment scale over recent years (2019-2025)  

Jackline Muturi, Sayantan Majumdar, Christopher Ndehedehe, and Mark Kennard

The use of satellite remote sensing for mapping the spatial-temporal extent of irrigation at catchment scale is a key ingredient for effective irrigation water management. A thresholding approach based on vegetation indices and evapotranspiration metrics  was applied in the Namoi catchment in Australia to detect irrigated areas. The results show that irrigation in the catchment is heterogeneous, with no consistent increasing or decreasing trend over the classification period. In addition, the method identifies irrigated area conservatively with a high precision and moderate accuracy when evaluated against independent reference data. The findings highlight the potential of the thresholding approach for agricultural water management. Further work will focus on refining this method and linking it to quantifying irrigation water use at catchment scale.   

How to cite: Muturi, J., Majumdar, S., Ndehedehe, C., and Kennard, M.: Detecting irrigation at catchment scale over recent years (2019-2025) , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6080, https://doi.org/10.5194/egusphere-egu26-6080, 2026.

EGU26-6398 | ECS | Orals | HS6.8

Field-Scale Irrigation Source Attribution  

Musab Waqar and Landon Marston

Irrigated agriculture is a major freshwater user in the western United States, yet field-level information on whether irrigation relies on surface water, groundwater, or both remains limited. This lack of source attribution constrains water-scarcity assessments, curtailment analysis, and evaluations of irrigation efficiency, particularly where infrastructure and governance spatially decouple water sources from field locations. We present a data-driven framework for mapping field-level irrigation source access that integrates large-scale geospatial predictors with administrative water-rights information. The approach uses a two-stage probabilistic classification pipeline: first, estimating the likelihood of groundwater and surface-water access and then inferring conjunctive use from the structure and uncertainty of these probabilities. Preliminary findings suggest that single-source irrigation can be consistently identified at the field scale across diverse settings, whereas mixed-source conditions exhibit greater sensitivity to local context. This enables irrigation source information to be incorporated at the field scale, while explicitly identifying settings where local conditions govern source use. 

How to cite: Waqar, M. and Marston, L.: Field-Scale Irrigation Source Attribution , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6398, https://doi.org/10.5194/egusphere-egu26-6398, 2026.

EGU26-6881 | ECS | Orals | HS6.8

An adaptive and unsupervised approach for irrigation detection at field scale from high-resolution soil moisture maps 

Sofia Rossi, Anna Balenzano, Davide Palmisano, Francesco P. Lovergine, Francesco Mattia, Michele Rinaldi, Sergio Ruggieri, Deodato Tapete, Patrizia Sacco, Alessandro Ursi, and Giuseppe Satalino

Monitoring irrigated areas and water requirements remains a key challenge in Earth Observation (EO), especially in regions experiencing growing water stress and agricultural intensification driven by rising demand and climate change [1-2]. An emerging methodology for detecting irrigated fields at large scale uses EO-derived high-resolution surface soil moisture maps (SSM). This approach can effectively segment irrigated and non-irrigated areas early in the season. Particularly, SSM derived from Synthetic Aperture Radar (SAR) data offer the resolution required to resolve irrigated fields and detect irrigation events, even before crop canopy development [3].

This study investigates the use of high-resolution (~100 m) SSM maps to detect irrigated fields in the Apulian Tavoliere agricultural district (Southern Italy), where winter cereals and tomato are the main cultivated crops. The SSM maps are derived from Sentinel-1, SAOCOM, and Sentinel-2 time series using the SMOSAR software developed at CNR-IREA [4]. The analysed data set covers the growing season 2024 and 2025. The irrigation detection is based on the application of the Constant False Alarm Rate (CFAR) algorithm. This methodology uses a sliding-window approach to classify the central pixel by comparing its value to a threshold derived from the probability distribution function of SSM values within the window, ensuring a fixed FAR. The result is the identification of fields showing higher SSM than their surrounding area. The probability distribution function adopted is the Gaussian Mixture, and the sliding window is a 3kmx3km square. Finally, the classified pixels are aggregated at the field scale using the parcel boundary information to evaluate the classification performance metrics.

Results indicate that the main factors affecting classification accuracy are satellite revisit time, vegetation stage, and radar frequency. Specifically, satellite revisit affects accuracy as SSM contrast decreases due to evapotranspiration, making detection challenging beyond three days after the irrigation. Furthermore, dense vegetation limits C-band SAR signal penetration into the soil, thereby ensuring detection is most effective during early crop growth. Analysis of the 2024 season shows that, at the start of growth, accuracy reaches 80%. While, at C-band, as vegetation matures, the canopy may dominate the backscattered signal. In contrast, L-band frequencies, less sensitive to vegetation, enable detection during later canopy development, therefore accuracy remains above 80% even in late growth stages. Analysis of the 2025 season is underway.

Acknowledgment: This study is funded by ASI under the Agreement N. 2023-52-HH.1-2025 (addendum MyGEO to the THETIS project) in the framework of ASI’s program “Innovation for Downstream Preparation for Science” (I4DP_SCIENCE).

References:

[1]      C. Massari et al., “A review of irrigation information retrievals from space and their utility for users,”, Remote Sensing, 2021.

[2]      C. Corbari et al., “Estimates of Irrigation Water Volume by Assimilation of Satellite Land Surface Temperature or Soil Moisture Into a Water-Energy Balance Model in Morocco,” Water Resour Res, 61, 7, 2025.

[3]      A. Balenzano et al., “Sentinel-1 and Sentinel-2 Data to Detect Irrigation Events: Riaza Irrigation District (Spain) Case Study,” Water, 14, 19, 2022.

[4]      A. Balenzano et al., “Sentinel-1 soil moisture at 1 km resolution: a validation study,” Remote Sens Environ, 263, 2021.

 

How to cite: Rossi, S., Balenzano, A., Palmisano, D., Lovergine, F. P., Mattia, F., Rinaldi, M., Ruggieri, S., Tapete, D., Sacco, P., Ursi, A., and Satalino, G.: An adaptive and unsupervised approach for irrigation detection at field scale from high-resolution soil moisture maps, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6881, https://doi.org/10.5194/egusphere-egu26-6881, 2026.

EGU26-7446 | ECS | Posters on site | HS6.8

High-resolution irrigation estimates for maize across Europe from ensemble AquaCrop simulations 

Louise Busschaert, Michel Bechtold, Sujay V. Kumar, Michel Le Page, Christian Massari, and Gabriëlle De Lannoy

Irrigation plays a key role in the terrestrial water cycle and agricultural production, yet it remains one of the most uncertain components of large-scale water use estimates. In recent years, several irrigation datasets based on modeling approaches and remote sensing have been developed. While these products have improved the spatial and temporal characterization of irrigation water use, they often lack an explicit quantification of uncertainty, limiting their applicability for hydrological and land surface modeling, as well as data assimilation.

This study presents high-resolution irrigation estimates for maize across Europe using ensemble simulations with the crop model AquaCrop (version 7.2) coupled to NASA’s Land Information System. Simulations are run for the period 2010-2020 at a 0.05° lat–lon resolution over European regions with irrigated maize, assuming sprinkler irrigation. The ensemble mean crop and irrigation estimates are evaluated against ground-truth and satellite observations. At the field scale, simulated irrigation amounts are compared against reported irrigation data over maize fields in the Lot and Tarn departments in southern France for the period 2016–2019. At the continental scale, simulated vegetation dynamics are evaluated using the Copernicus Land Monitoring Service fraction of canopy cover (FCOVER) product across Europe.

To explicitly represent uncertainty, ensembles are generated by perturbing meteorological forcings and a key irrigation parameter, specifically the root-zone soil moisture threshold that triggers irrigation events. Multiple ensemble configurations are tested to account for uncertainties related to irrigation management practices and meteorology. In a first experiment, shortwave radiation and precipitation are perturbed. In a second experiment, this configuration is extended by additionally perturbing air temperature, leading to a larger spread in vegetation development since crop growth stages are defined by accumulated heat units (growing degree days). In a final experiment, the ensemble is further expanded by perturbing the irrigation threshold, resulting in an increased spread in simulated irrigation amounts. An ensemble verification against field-level irrigation observations is performed to assess the ensemble uncertainty, providing a basis for future data assimilation applications.

How to cite: Busschaert, L., Bechtold, M., Kumar, S. V., Le Page, M., Massari, C., and De Lannoy, G.: High-resolution irrigation estimates for maize across Europe from ensemble AquaCrop simulations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7446, https://doi.org/10.5194/egusphere-egu26-7446, 2026.

EGU26-7480 | ECS | Posters on site | HS6.8

European scale, satellite-based irrigation water use estimates at 1 km spatial resolution 

Jacopo Dari, Yogesh Kumar Baljeet Singh, Konstantin Ntokas, Norman Fomferra, Gunnar Brandt, Renato Morbidelli, Carla Saltalippi, Alessia Flammini, Mehdi Rahmati, Paolo Filippucci, Diego Fernández-Prieto, Espen Volden, and Luca Brocca

Irrigation is the most impactful yet less monitored human activity altering the natural hydrological cycle. In recent years, an ever-increasing number of studies have shown the potential of Earth Observation (EO) in tracking human dynamics along with natural ones, including estimates of irrigation water use (IWU). Particularly, the SM-Inversion method, a soil-water-balance approach adapted for quantifying IWU from satellite soil moisture, proved its skills across various scales of application. In this contribution, main results from the Irrigation-EU project will be presented. Its main objective is the development of the first ever European-scale, EO-based IWU data set. To do this, the SM-inversion algorithm has been optimized and implemented as operational Python processor. Features of the resulting IWU product include spatial and temporal resolutions equal to 1 km and 14-day, respectively. The temporal coverage spans from 2016 onwards. Operational input data has been leveraged for developing IWU estimates, i.e., Sentinel-1 soil moisture estimates delivered by the CLMS (Copernicus Land Monitoring Service) and total precipitation and potential evaporation from ERA5-Land (European ReAnalysis v5 – Land). Validation against reference irrigation volumes collected in several European case studies (mainly located in Spain, Italy, Greece, and Germany) will be presented. Moreover, the validation will benefit from the recently launched initiative which invites the scientific community to collaborate in developing the first database of in-situ IWU observations.

How to cite: Dari, J., Baljeet Singh, Y. K., Ntokas, K., Fomferra, N., Brandt, G., Morbidelli, R., Saltalippi, C., Flammini, A., Rahmati, M., Filippucci, P., Fernández-Prieto, D., Volden, E., and Brocca, L.: European scale, satellite-based irrigation water use estimates at 1 km spatial resolution, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7480, https://doi.org/10.5194/egusphere-egu26-7480, 2026.

EGU26-7656 | ECS | Posters on site | HS6.8

Mapping yearly irrigation patterns across Italy using multiple satellite data from 2000 to 2025 

Jismi Joy and Chiara Corbari

Climate change and population growth are putting increased pressure on water resources and their users in Italy and the Mediterranean (IPCC 2023). Italy is among the European countries that make the greatest use of irrigation (70% of total freshwater consumption), and about 60% of the area is irrigated with low-efficiency techniques (ISTAT 2014). Despite its significance, the yearly detection of irrigated fields remains poorly quantified at national scales with 1-km spatial resolution. A multi-sensor, satellite-driven framework was developed to map irrigated areas across Italy over the past years based on a change detection algorithm for the 8-day normalized difference vegetation index (NDVI) from MODIS, soil moisture from Sentinel-1, land surface temperature (LST) from MODIS, and precipitation from ERA5-Land. The datasets are harmonized and analyzed to produce statistical maps and temporal trends, providing a detailed characterization of irrigated areas. The retrievals are intercompared and validated against reference datasets from local field knowledge, the official national statistics data, and global research datasets. Inconsistency has been found in some areas, especially due to the difficulties in differentiating between rainfed and irrigated crop areas. No significant differences in the irrigated areas were observed between the different years.

This spatially continuous, multi-decadal assessment provides a methodology applicable to Mediterranean and semi-arid regions and delivers essential insights to support sustainable water management, agricultural planning, and climate adaptation strategies.

How to cite: Joy, J. and Corbari, C.: Mapping yearly irrigation patterns across Italy using multiple satellite data from 2000 to 2025, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7656, https://doi.org/10.5194/egusphere-egu26-7656, 2026.

EGU26-8102 | ECS | Orals | HS6.8

Operational irrigation monitoring in data-scarce schemes using field observations, water accounting tool and remote sensing in Northern Ghana 

Komlavi Akpoti, Seifu Tilahun, Mabel Kumah, Afua Owusu, Naga Manohar Velpuri, Benjamin Wullobayi Dekongmen, Kirubel Mekonnen, Mansoor Leh, Alemseged Tamiru Haile, Mulugeta Tadesse, Thilina Prabhath, Stefanie Kagone, Lahiru Maduskanka, Tharindu Perera, and Abdulkarim Seid

Irrigation is a major source of freshwater pressure in semi-arid regions and is increasingly constrained by water scarcity, operational inefficiencies, and user conflicts. Yet routine monitoring of irrigation withdrawals, conveyance losses, and field-level water use remains limited due to weak measurement infrastructure. This study demonstrates an integrated methodology of field observation of irrigation water use and efficiency,  water accounting tool validated with field observation, and a remote sensing products  to quantify irrigation performance, specifically efficiency, adequacy, and equity, in a reservoir-fed irrigation scheme in northern Ghana under a unimodal rainfall regime. During the 2025 dry season, monitoring combined daily water-level observations from standardized flow structures in the main canals, selected laterals and application of water on selected fields. Flow rates were estimated based on hydraulic empirical equations and Manning-hydraulic equations for defined concrete channels. Measurements covered upstream, midstream, downstream sections of both main canals and selected laterals. Results reveal strong spatial degradation of water delivery. In the main canals, average discharge declined from 1.80 to 1.20 m³ s⁻¹ (right canal) and 2.17 to 0.85 m³ s⁻¹ (left canal), corresponding to conveyance efficiencies of 87.1% and 83.8%, respectively. At lateral scale, losses were substantially higher, with efficiencies dropping to 78.4% in one lateral and 58.5% in another, reflecting seepage, overflow, sedimentation, and structural constraints. Application irrigation depths in selected fields varied widely (21–32 mm versus 29–77 mm), producing application efficiencies of 31% and 62%, and indicating inequities in delivery reliability and water access. Unregulated abstractions (pump and tanker withdrawals) were estimated at ~38,000–53,000 m³ over the monitoring period, contributing to instability during peak demand. Independent 30-m remote-sensing evapotranspiration (ETa) captured irrigation signals and enabled scheme-wide diagnostics that complement discharge monitoring. Relative ETa provided a proxy for adequacy across water user associations and irrigation blocks, while ETa variability highlighted inequitable allocation and inconsistent delivery. Combined indicators support actionable options, including prioritizing rehabilitation in high-loss reaches, improving rotational delivery to tail-end blocks, targeting enforcement in abstraction hotspots, and benchmarking performance across associations for adaptive irrigation management. This is done in collaboration with the Ghana Irrigation Development Authority to validate the results and create ownership of the results for decision-making for expanding the irrigation area and improving the scheme's efficiency.

How to cite: Akpoti, K., Tilahun, S., Kumah, M., Owusu, A., Velpuri, N. M., Dekongmen, B. W., Mekonnen, K., Leh, M., Haile, A. T., Tadesse, M., Prabhath, T., Kagone, S., Maduskanka, L., Perera, T., and Seid, A.: Operational irrigation monitoring in data-scarce schemes using field observations, water accounting tool and remote sensing in Northern Ghana, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8102, https://doi.org/10.5194/egusphere-egu26-8102, 2026.

EGU26-9576 | ECS | Orals | HS6.8

Irrigation water management driven by agro-hydrological modelling and satellite data in drought- and salinity-affected areas in Morocco 

Nicola Paciolla, Chiara Corbari, Youssef Houali, Sven Berendsen, Justin Sheffield, and Kamal Labbassi

Climate change and global population growth, with increased vulnerability of agricultural areas and enhanced food demand, are particularly affecting arid and densely populated regions. The decreasing availability of freshwater for agricultural use is increasing the appeal of unconventional water sources, like grey and desalinated water. Accurate knowledge of crop development and vulnerability to changed environmental conditions is critical to prepare for these future scenarios.

The objective of this work is the evaluation of irrigation water management scenarios considering water availability and quality, and the impact on crop growth, by merging satellite data and a distributed, high-resolution agro-hydrological model for crop monitoring and management. Specifically, this activity focused on an irrigation district in Morocco, which has been exposed to a prolonged drought and has seen an increase in the use of (partially) saline water for irrigation. Because of the drought, all available freshwater was reserved for civil use, causing a surge in groundwater pumping to satisfy the irrigation demand. This, in turn, has progressively increased the salinity of the groundwater reserve.

The monitoring of salinity-affected areas was performed at high spatial resolution (30m) by integrating into the crop-energy-water balance model FEST-EWB-SAFY the remote sensing data of leaf area index (LAI, from Sentinel-2) and land surface temperature (LST, from Landsat-8/9 and also from Sentinel-3, downscaled to 30m using Sentinel-2) to monitor crop development. The crop-energy-water balance FEST-EWB-SAFY model couples the distributed energy-water balance FEST-EWB model, which allows computing continuously in time and distributed in space all the components of the surface energy and water balances (without requiring LST as an input, but instead computing it internally), and the SAFY (Simple Algorithm For Yield estimates) model, for crop development. Both satellite LST and LAI data were used for the calibration and validation of the different branches of the modelling framework. The model was able to pick up information regarding soil salinity via its effect on crops visible from the satellite imagery.

The application of the FEST-EWB-SAFY model, through the synergy with satellite observations of LST and LAI, constitutes a valuable tool to evaluate the impact on the crop of mutating environmental conditions and to formulate sustainable water and food policies in areas facing the harsh consequences of climate change.

How to cite: Paciolla, N., Corbari, C., Houali, Y., Berendsen, S., Sheffield, J., and Labbassi, K.: Irrigation water management driven by agro-hydrological modelling and satellite data in drought- and salinity-affected areas in Morocco, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9576, https://doi.org/10.5194/egusphere-egu26-9576, 2026.

EGU26-10443 | ECS | Orals | HS6.8

Satellite-based optimization of irrigation in a land surface model accounting for scaling effects  

Sara Modanesi, Louise Busschaert, Gabrielle De Lannoy, Domenico De Santis, Martina Natali, Jacopo Dari, Pere Quintana-Seguì, Mariapina Castelli, Fabio Massimo Grasso, and Christian Massari

Irrigation strongly influences land-atmosphere interactions and the terrestrial water cycle, yet its representation in land surface models (LSMs) remains highly uncertain. These uncertainties arise from both the scarcity of reliable irrigation benchmarks and the challenge of representing heterogeneous irrigation practices within coarse model grid cells (e.g., kilometer-scale resolutions). 

In this study, we examine structural limitations in the representation of irrigation within the Noah-MP LSM, implemented in the NASA Land Information System, by testing different calibration strategies. A sprinkler irrigation scheme is optimized using Sentinel-1-derived irrigation estimates and a genetic algorithm over an intensively irrigated region of northeastern Spain at a 0.01° spatial resolution. Two calibration approaches are evaluated: (i) adjusting the soil moisture threshold (Thirr) that triggers irrigation, and (ii) introducing a Scale Irrigation Coefficient (SIC) to account for sub-grid heterogeneity in irrigated area and applications’ timing. 

Results show that calibrating Thirr alone provides limited flexibility, resulting in unrealistic irrigation peaks and excessive water application. By contrast, the optimized SIC-based parameterization substantially improves irrigation dynamics, reduces model errors relative to benchmark in situ observations, and better captures interannual variability in surface soil moisture. Findings demonstrate that assuming uniform, full-grid irrigation at resolutions of ~1 km or coarser is physically unrealistic due to both operational constraints on irrigation practices and the fragmented structure of agricultural landscapes. Comparisons with satellite-based evapotranspiration and gross primary production datasets also reveal inconsistencies in simulated vegetation responses, highlighting remaining limitations in vegetation parameterization.  

Overall, this work underscores the importance of explicitly accounting for scaling effects in irrigation schemes and points toward future integration of satellite data assimilation to enhance representation of irrigation-water-carbon interactions. 

How to cite: Modanesi, S., Busschaert, L., De Lannoy, G., De Santis, D., Natali, M., Dari, J., Quintana-Seguì, P., Castelli, M., Massimo Grasso, F., and Massari, C.: Satellite-based optimization of irrigation in a land surface model accounting for scaling effects , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10443, https://doi.org/10.5194/egusphere-egu26-10443, 2026.

EGU26-11754 | ECS | Posters on site | HS6.8

Identification of Sprinkler anomalies using Multispectral Remote Sensing 

Milton José Campero-Taboada, Javier Casalí Sarasíbar, María González-Audícana, and Miguel A. Campo-Bescós

Irrigation uniformity is essential for the efficient use of water and depends on both the design of the irrigation system and the operation of the sprinklers. Manual monitoring of sprinklers is inefficient and prone to errors, which has driven the use of remote sensing technologies for crop monitoring.

This study explored the potential of high-resolution multispectral imagery for the detection of blocked sprinklers in maize fields during the irrigation season. The research was conducted in a field in Larraga (Navarra, Spain), irrigated with sprinklers spaced 15x18 m apart, with three sprinklers randomly blocked for 15 to 25 days during four stages of maize growth. Images captured with an unmanned aerial vehicle (UAV) were subsequently resampled to simulate a 3 m satellite resolution; this approach allowed the generation of complete time series of the Normalised Difference Vegetation Index (NDVI) without interruptions caused by cloud cover, ensuring detailed monitoring of crop development.

The study field was divided into a non-irrigated zone around the blocked sprinklers and a control zone with normal irrigation, allowing comparison of crop development through multitemporal NDVI analysis and time series incorporating daily data on irrigation applied to the field, as well as precipitation and evapotranspiration recorded at the nearest weather station, which allowed assessment of their influence on vegetation dynamics.

The results showed that the images enabled clear identification of areas affected by sprinkler blockage, with significant differences in vegetation indices between the control and non-irrigated areas. Continuously irrigated zones maintained high and stable NDVI values, whereas areas with interruptions showed marked decreases, only partially mitigated by rainfall events in early stages. These findings highlight that irrigation interruption has an adverse effect on crop health, which can be detected accurately using remote sensing tools, emphasising the importance of maintaining uniform irrigation for optimal plant development.

How to cite: Campero-Taboada, M. J., Casalí Sarasíbar, J., González-Audícana, M., and Campo-Bescós, M. A.: Identification of Sprinkler anomalies using Multispectral Remote Sensing, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11754, https://doi.org/10.5194/egusphere-egu26-11754, 2026.

EGU26-11846 | ECS | Posters on site | HS6.8

Evaluating wireless soil moisture sensors for assessing the efficiency and uniformity of sprinkler irrigation 

Fathi Alfinur Rizqi, Arno Kastelliz, and Reinhard Nolz

In-situ soil moisture sensors provide continuous information on soil water status and soil–water–plant interactions. Such information can be used for irrigation planning and for evaluating and optimizing irrigation strategies and systems. Wireless sensors also have the advantage that they cause minimal disruption to field operations and can therefore generate spatially explicit data. Sensor performance and practicality depend on soil properties, the moisture range, and implementation conditions. We evaluated wireless dielectric soil moisture sensors under controlled laboratory conditions and on sprinkler-irrigated field plots. Twenty wireless “SoilScout” sensors were used. A dedicated logger recorded the data and transmitted it via the GSM network to a server for processing. In the laboratory, we used fine sand of known bulk density, saturated it, and then allowed it to dry at room temperature. We determined the gravimetric water content (θg) and converted it to volumetric water content (θv) using the bulk density (ρb). In the field, the 20 sensors were installed and operated in the dams of irrigated potatoes from May 2025 to July 2025 and carrots from July 2025 to November 2025. The soil was Sandy Loam. The sensor positions followed a regular grid within the 18 x 18 m sprinkler setup, and a rain gauge was installed at each point to assess distribution uniformity. Sensor data were recorded continuously, capturing both natural conditions (evapotranspiration and rainfall) and irrigation events. After each measurement period, we collected soil samples near the sensor positions to determine and , and computed . These volumetric water contents served as reference values to analyze sensor performance. We estimated the slope and intercept of the corresponding regression lines and assessed precision and accuracy using RMSE, bias, and R2 . To compare with applied irrigation depths measured by the rain gauges, we also analyzed changes in sensor-derived water content during irrigation events (Δθv). Based on these data, we calculated the uniformity of water distribution. Results show a strong correlation between the wireless sensor and the laboratory reference (R2>0.9), indicating reliable tracking of drying in homogeneous media. In the field, agreement with gravimetric sampling converted to θv was less robust. Although absolute values differed in both settings, the dynamics of soil water status were captured very well. Under the canopy, the wireless sensors produced a spatial pattern like the rain gauge data, enabling sensor-based evaluation of distribution uniformity and a rough estimation of application efficiency (and interception losses). The study demonstrates clear advantages of wireless sensors in managed fields, supporting their use for practical irrigation management. However, retrieving the sensors before harvest proved challenging: despite marking and using a metal detector, they were difficult to locate. Further work is needed to quantify the absolute measurement accuracy of the sensors used. Overall, the results support the use of wireless sensors for planning and evaluating irrigation.

How to cite: Rizqi, F. A., Kastelliz, A., and Nolz, R.: Evaluating wireless soil moisture sensors for assessing the efficiency and uniformity of sprinkler irrigation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11846, https://doi.org/10.5194/egusphere-egu26-11846, 2026.

EGU26-12064 | ECS | Posters on site | HS6.8

How well do high-resolution surface soil moisture products capture irrigation signals? 

Andreas Wappis, Pierre Laluet, and Wouter Dorigo

Irrigation profoundly alters near-surface hydrological processes, yet its representation and detectability in satellite-based surface soil moisture (SSM) products remain insufficiently understood. While SSM observations are increasingly used in irrigation-related studies and applications over managed agricultural landscapes, most existing evaluations focus on natural or rainfed conditions, leaving a critical gap in anthropogenically influenced environments. 

We assess the performance of six high-resolution (1 km) SSM products, including BEC SMOS L4, UFZ-Sentinel-1, RT1, CGLS, NSIDC SMAP, and a newly developed downscaled ESA CCI product. The analysis focuses on three major European irrigation hotspots: the Ebro Valley (Spain), the Po Valley (Italy), and the Thessaloniki region (Greece). 

The evaluation is structured around three complementary analyses. First, spatial and temporal consistency is examined by comparing SSM distributions over irrigated and rainfed areas using global irrigation maps, and by assessing temporal dynamics against district-scale irrigation records. Second, satellite SSM products are benchmarked against model-based ERA5-Land estimates that do not explicitly represent irrigation, in order to analyze anomalies and identify potential human-induced soil moisture signals. Third, physical consistency is assessed by examining the relationship between SSM and land surface temperature (LST), as irrigation is expected to induce surface cooling through increased evapotranspiration. 

The analysis highlights marked differences between products in their ability to detect irrigation-related SSM signals and provides a basis for their evaluation and use in irrigated, human-modified environments. 

How to cite: Wappis, A., Laluet, P., and Dorigo, W.: How well do high-resolution surface soil moisture products capture irrigation signals?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12064, https://doi.org/10.5194/egusphere-egu26-12064, 2026.

EGU26-12461 | ECS | Posters on site | HS6.8

A spatiotemporal analysis of irrigation water requirements in French croplands over the past decades 

Jules Michard, Bruno J. Lemaire, Vazken Andréassian, Bruno Cheviron, and Fanny Sarrazin

France is the first agricultural producer and the third most irrigated country in terms of surface area in the European Union. Agriculture weighs heavily on French water resources dynamics as it features the highest water consumptive use (i.e., most of the water applied on irrigated areas is evaporated and unavailable downstream). Water withdrawals for irrigated agriculture are usually quantified through modelling at catchment scale because direct measurements are incomplete. Models can conceptualise water withdrawals as a modulation of crop irrigation requirements (i.e., water added to rainfall to compensate crop evapotranspiration and alleviate water stress) by water availability and irrigation management constraints (e.g., yield objective, irrigation technology efficiency). Establishing these models over a large sample of catchments is challenging because this requires a large range of data at different spatial scales (plot, farm, catchment).

As a first step towards assessing water withdrawals, this study investigates the spatiotemporal dynamics of monthly irrigation water requirements at catchment scale over the past decades in France. It also evaluates the contribution of climate variability (e.g., precipitation, temperature) and changes in cropland characteristics (e.g., area, crop type) to irrigation water requirement trends. Using the soil-crop water balance models CROPWAT and Optirrig (Cheviron et al. 2020), we compute irrigation water requirements over irrigated area and total cropland to approximate the agricultural water usage and quantify the crop water deficit. We build gridded yearly maps of irrigated and cropland area in France by combining statistics at the district (“département”) level and remote sensing derived products like land cover maps. Using different models and parameter values (e.g., sowing dates, crop coefficients) enables structural and parametric uncertainty quantification. Our results show that, in spite of uncertainties, the increase and the distribution of irrigation water requirements follow the rise and expansion of irrigated area in France, while crop water deficit is highly driven by climate variability.

References:
Cheviron, Bruno, Claire Serra-Wittling, Magalie Delmas, Gilles Belaud, Bruno Molle, et Juan-David Dominguez-Bohorquez. 2020. « Irrigation Efficiency and Optimization: The Optirrig Model ». doi:10.5194/egusphere-egu2020-20547.

How to cite: Michard, J., Lemaire, B. J., Andréassian, V., Cheviron, B., and Sarrazin, F.: A spatiotemporal analysis of irrigation water requirements in French croplands over the past decades, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12461, https://doi.org/10.5194/egusphere-egu26-12461, 2026.

EGU26-15043 | ECS | Posters on site | HS6.8

Comparing Methods of Identifying Irrigation Using High Resolution SMAP Soil Moisture 

Annelise Turman, Bin Fang, Ryan Smith, and Venkataraman Lakshmi

With the wide variety of methods using satellite soil moisture (SM) observations to identify irrigation, our study aims to recreate several of the methods with a newly developed soil moisture product that uses a downscaling algorithm to produce a 400-m resolution soil moisture product from the native 36-km Soil Moisture Active Passive (SMAP) soil moisture data (Fang et al. 2025). From this product, we can estimate deeper soil moisture (20-cm and 50-cm from the original 5-cm depth). The objectives of this project are to see which of the methods perform best in the state of Colorado, and if performance differs with crop type, irrigation type, precipitation levels, and soil moisture depth as compared with the irrigation/crop type spatiotemporal field data available through Colorado’s Decision Support System (CDSS).

Our methods for identifying irrigation include:

  • Summation of SM over the growth period: Because we are studying a relatively small area, we assume that all soil is receiving an approximately equal amount of moisture from precipitation. We deduce that regions with higher SM than those around them receiving additional moisture from irrigation.
  • High SM despite low precipitation: If SM is detected despite there being a lack of precipitation for 4 days or more, one can assume that detected moisture came from irrigation (Lawston et al., 2017; Shellito et al., 2016).
  • Changes in mean absolute deviation (MAD): MAD is used to understand the variability of SM within each pixel- because irrigation causes frequent and significant changes in SM, higher variability is a sign of irrigation (Jalilvand et al., 2021).
  • Isolating irrigation signals: To isolate irrigation signals, this method incorporates a soil water balance model that accounts for vertical fluxes such as evapotranspiration and drainage, which influence soil moisture changes independently of irrigation (Zappa et al., 2021).
  • Increases in NDVI after irrigation events: The normalized difference vegetation index (NDVI) measures plant greeness and vigor and is elevated for healthy plants. Previous studies have found that irrigated crops have an NDVI value greater than 0.8, while non irrigated vegetation is below 0.75 (Brown & Pervez, 2014; Ibrahim et al., 2023).

How to cite: Turman, A., Fang, B., Smith, R., and Lakshmi, V.: Comparing Methods of Identifying Irrigation Using High Resolution SMAP Soil Moisture, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15043, https://doi.org/10.5194/egusphere-egu26-15043, 2026.

Irrigation represents one of the primary anthropogenic perturbations to the global terrestrial water cycle, locally reshaping the climate-driven transition between wet and dry seasons through managed water inputs in croplands. Yet the globally consistent and temporally continuous daily irrigation estimates are still lacking. Here we interpret the persistent positive bias between remotely sensed and model-simulated soil moisture as an observable signature of irrigation and develop a global framework to quantify irrigation consumptive water use at the daily scale. We integrate multi-source inputs and construct a suite of representative scenarios to span major sources of uncertainty, improving robustness and internal consistency through observation-based constraints and fusion concepts. Independent consistency assessments and cross-region validation are further conducted to systematically evaluate the robustness, transferability, and uncertainty structure across gradients of climatic background and irrigation intensity. The global gridded daily irrigation figures more clearly delineate characteristic response patterns in major irrigated regions. In climate transition zones and strongly water-limited areas, estimates are more sensitive to climatic context and thus associated with relatively higher uncertainty. These findings provide a testable basis for interpreting regional differentiation and divergent magnitudes of irrigation impacts reported in the literature.

How to cite: Wang, W. and Zhuo, L.: Global gridded daily irrigation detection and quantification through soil moisture bias, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17059, https://doi.org/10.5194/egusphere-egu26-17059, 2026.

EGU26-17110 | Orals | HS6.8

FLI : a new spectral index to characterize flooding irrigation  

André Chanzy and Sameh Saadi

Flooding irrigation is a method still widely used in certain farming systems and in foothill areas. Although this traditional technique remains water-consuming, it offers significant external benefits such as groundwater recharge and biodiversity preservation. For example, on the Crau area (600 km²) in the south of France, flooding irrigation of grasslands contributes to 70% of the total recharge of the aquifer, which is strategic for a large number of human activities (irrigation of orchards, drinking water, industry). Remote sensing makes it possible to characterise the area of irrigated grasslands with a high degree of accuracy (Abubakar et al., 2022). However, the number of water cycles, which is determined by meteorological conditions and possible restrictions, remains poorly characterized as well as the irrigation dose, which depends on the length of the plot along the water flow axis. There is therefore a challenge in detecting irrigation events and the direction of flow.

In order to obtain a territorial view of flooding irrigation on grasslands, the objective of this study is to use high spatial resolution (~10m) remote sensing to characterize irrigation patterns (irrigation period, frequency and dose) at the plot scale.  A previous study (Bazzi et al., 2020) based on radar imagery shows that it is possible to detect flooding irrigation, but there are still many errors, mainly when vegetation is dense. In the present study, analysis of Sentinel 1 time series in both radar configurations did not show a clear signal of irrigation. The dense vegetation of the grasslands probably masks the water layer during irrigation or the wet soil after drying. On the other hand, plots undergoing irrigation appear clearly when Sentinel 2 measurements are placed in a diagram relating the reflectance in the SWIR -band 11 (RSWIR) and the NDVI. Plots undergoing irrigation have RSWIR that deviates from the RSSWIR=f(NDVI) relationship. The distance from the RSWIR/NDVI point to this relationship can therefore be used to identify flooded pixels. With adequate thresholding of this distance, it can be shown that the plots identified as being irrigated are indeed irrigated in more than 90% of cases. Intra-plot mapping of irrigated areas makes it possible to identify the direction of irrigation and some times the direction of flow, which makes it possible to specify the water amount applied and, consequently, the amount drained, contributing to groundwater recharge. Temporal analysis of the territory allows the identification of the start and end of irrigation period. The proposed method thus makes it possible to sample a large number of irrigation events and thus enable more realistic modelling of irrigation schedules.

Abubakar, M., Chanzy, A., Pouget, G., Flamain, F., Courault, D., 2022. Detection of Irrigated Permanent Grasslands with Sentinel-2 Based on Temporal Patterns of the Leaf Area Index (LAI). Remote Sensing 14, 3056. https://doi.org/10.3390/rs14133056

Bazzi, H., Baghdadi, N., Fayad, I., Charron, F., Zribi, M., Belhouchette, H., 2020. Irrigation Events Detection over Intensively Irrigated Grassland Plots Using Sentinel-1 Data. Remote Sensing 12, 4058. https://doi.org/10.3390/rs12244058

How to cite: Chanzy, A. and Saadi, S.: FLI : a new spectral index to characterize flooding irrigation , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17110, https://doi.org/10.5194/egusphere-egu26-17110, 2026.

EGU26-17590 | Posters on site | HS6.8

Satellite-derived irrigation water requirement as a support tool for climate-resilient water management in the Alps 

Gianluca Filippa, Paolo Pogliotti, Marta Galvagno, Erica Vassoney, Michel Isabellon, and Francesco Avanzi

Water scarcity is increasingly emerging as a critical issue even in traditionally water-abundant regions such as the European Alps. The coexistence of multiple end users - often characterized by competing and sometimes conflicting demands, ranging from aquatic ecosystem conservation to hydropower generation - renders water management one of the most pressing socio-economic and environmental challenges in mountain catchments. Although irrigation represents the third-highest priority water use after drinking and sanitation, the volumes required and actually withdrawn for agricultural purposes remain poorly constrained in mountain environments. This knowledge gap stems from a combination of factors, including technical limitations, pronounced spatial fragmentation, and historically rooted governance. Improving the estimation of irrigation water requirements is therefore a key step toward a more informed, efficient, and climate-resilient management of water resources.

Here, we present an approach for estimating irrigation water requirements (IWR) based on Sentinel-2–derived NDVI, coupled with spatially explicit meteorological drivers, namely air temperature, precipitation, and potential evapotranspiration. Daily IWR maps at 20 m spatial resolution are produced for the Aosta Valley, an inner-Alpine valley of approximately 3,200 km² located in the western Italian Alps, covering the period 2018–2025. The analysis focuses in particular on dry years (e.g. 2022), for which anomalies are computed at multiple spatial and temporal scales in order to investigate the different dimensions of drought severity in a topographically complex setting.

A more detailed analysis is conducted for a ~81 km² sub-basin, where the coexistence of multiple surface-water uses frequently leads to substantial river depletion during the summer season. In this basin, a set of discharge measurements enables the quantification of water withdrawals for both irrigation and hydropower production, thereby allowing a quantitative assessment of the relationship between estimated water requirements and actual water use. We show that, through the optimization of water allocation strategies, the risk of water scarcity can be substantially mitigated even during exceptionally dry summers such as 2022.

Wall-to-wall products such as those presented here, characterized by adequate spatial and temporal resolution, further provide a valuable basis for planning the location, design, and sizing of multi-purpose water storage reservoirs in hydrologically critical areas.

How to cite: Filippa, G., Pogliotti, P., Galvagno, M., Vassoney, E., Isabellon, M., and Avanzi, F.: Satellite-derived irrigation water requirement as a support tool for climate-resilient water management in the Alps, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17590, https://doi.org/10.5194/egusphere-egu26-17590, 2026.

EGU26-21629 | Orals | HS6.8

Trade-offs between data-driven and process-based approaches for root-zone soil moisture retrieval in a Mediterranean vineyard 

Pere Quintana-Seguí, Judith Cid-Giménez, Anaïs Barella-Ortiz, and María José Escorihuela

Accurate monitoring of water availability in the root zone is a prerequisite for generating precise irrigation recommendations and mitigating drought impacts in water-limited Mediterranean ecosystems. This work evaluates the performance and physical consistency of two distinct modelling paradigms to retrieve Root-Zone Soil Moisture (RZSM) in a vineyard located in Terra Alta (Catalonia, Spain), intended as a basis for operational decision support.

We contrast a purely data-driven method, utilizing a Multilayer Perceptron (MLP), against a process-based approach that couples a parsimonious multilayer soil model with an Ensemble Kalman Filter (EnKF) for the assimilation of Surface Soil Moisture (SSM). Both schemes are currently benchmarked using in-situ SSM observations and standard meteorological forcing.

The results highlight a clear dichotomy between predictive skill and physical interpretability. The neural network approach demonstrated excellent performance in capturing non-linear seasonal trends and rapid wetting events, yielding better Kling–Gupta Efficiency (KGE) scores during validation. Conversely, the physical model exhibited lower statistical metrics but ensured mass conservation and provided a transparent representation of vertical water transport.

We conclude that while machine learning excels in reproducing local dynamics, the physical framework offers the robustness required for consistent water accounting. Consequently, we propose a synergistic roadmap where machine learning is leveraged to regionalize model parameters, and the assimilation of high-resolution satellite Surface Soil Moisture serves to spatialize the state estimates. This integration is essential to scale up from plot-level findings to regional irrigation recommendations, supporting the next generation of Digital Twins in agriculture.

How to cite: Quintana-Seguí, P., Cid-Giménez, J., Barella-Ortiz, A., and Escorihuela, M. J.: Trade-offs between data-driven and process-based approaches for root-zone soil moisture retrieval in a Mediterranean vineyard, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21629, https://doi.org/10.5194/egusphere-egu26-21629, 2026.

Improving crop water use efficiency may not necessarily alleviate water scarcity—a phenomenon that represents a specific manifestation of the Jevons Paradox in agricultural water resources. However, this paradox has not been quantified yet, which has limited our ability to understand the trade-off between efficiency gain and water loss and support informed irrigation decision-making in the face of climate change. Here, we introduce a novel index to quantify the crop water use efficiency paradox and explore its patterns and trends across China's 15 major crop types from 1991 to 2019. Our findings reveal clear evidence of the persistence and uneven threat of this paradox at both national and regional levels over the past three decades in China. Although the crop water efficiency in China has increased significantly by 48.78 kcal m-3 yr-‍1 since the 1990s, both the total blue water (+1.36 km3 yr-1) and water scarcity index (+0.003 yr-‍1) have also increased during the same period. The intensity of the paradox has, however, diminished since 2010, but climate change threatens to more than double its intensity in the mid-21st century if no proactive measures are implemented. Region-specific agricultural strategies are derived by quantifying water-use paradox intensity, scarcity, and efficiency trade-offs. These insights provide valuable scientific guidance for designing regional water-saving strategies in China and around the world, while also addressing the potential threats posed by the water use efficiency paradox to agricultural sustainability.

How to cite: Shi, W.: Agricultural water sustainability under threat from the water use efficiency paradox, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2349, https://doi.org/10.5194/egusphere-egu26-2349, 2026.

EGU26-3042 | ECS | Orals | SSS9.14

Model Validation for Estimating Stem Water Potential in Merlot Grapevines Using Thermal UAV-Based Imagery 

Luz Karime Atencia Payares, Monica Garcia, Pedro Junquera, Maria Gomez del Campo, and Ana Tarquis

Stem water potential (SWP) is a widely used, integrative indicator of vine water status because it reflects the combined effects of soil water availability, atmospheric demand and canopy conditions, and it provides a direct basis for irrigation decision making. However, SWP measurements with a pressure chamber are time-consuming and labor-intensive, which motivates the use of UAV-based thermal approaches as scalable alternatives for vineyard scale monitoring. This study aims to validate previously developed UAV thermal models for estimating SWP (Atencia et al., 2024), originally calibrated using data from a 2021–2022 irrigation trial, using an independent dataset collected in 2023 across three contrasting field trials (irrigation, pruning and soil type). UAV thermal acquisitions and concurrent SWP measurements were performed at two times of day (11:00 and 14:00) on multiple dates during the growing season to capture temporal variability in plant water status. Model performance and transferability across seasons and trials was evaluated by comparing CWSI-based estimates with simpler canopy–air temperature difference metrics, and by assessing how environmental and canopy conditions (e.g., atmospheric demand and seasonal progression) influence the robustness of SWP–thermal relationships. The SWP–CWSI relationship remained in 2023, but transferability of the 2021–2022 calibration decreased due to shifts in slope and intercept, likely linked to differences in atmospheric demand (including relatively low VPD during 2023 acquisitions) and the predominance of mild-to-moderate stress levels during most sampling dates. Overall, the results support the practical utility of UAV thermal indices for monitoring vine water status, while highlighting that robust conversion of CWSI to absolute SWP may require campaign-specific recalibration or models that account for key environmental and canopy covariates.

References

Atencia-Payares, L.K., Gomez, M., Tarquis, A.M., García, M., 2024. Thermal imaging from UAS for estimating crop water status in a Merlot vineyard in semi ‑ arid conditions. Irrig. Sci. https://doi.org/10.1007/s00271-024-00955-1

Jackson, R.D., Idso, S.B., Reginato, R.J., Pinter, P.J., 1981. Canopy temperature as a crop water stress indicator. 17, 1133–1138

How to cite: Atencia Payares, L. K., Garcia, M., Junquera, P., Gomez del Campo, M., and Tarquis, A.: Model Validation for Estimating Stem Water Potential in Merlot Grapevines Using Thermal UAV-Based Imagery, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3042, https://doi.org/10.5194/egusphere-egu26-3042, 2026.

California almond production faces increasing pressure to improve irrigation efficiency under limited and variable water supplies. Variable-rate micro-irrigation offers a promising pathway to address spatial variability in orchard water demand; however, its effective implementation requires reliable, field-scale information on soil water availability, tree water status, irrigation inputs, and crop productivity response. This study developed and applied an integrated monitoring framework to support site-specific irrigation management in a commercial almond orchard over three growing seasons (2019–2021). Fourteen monitoring locations were established across contrasting soil and irrigation management zones. At each location, applied irrigation water was measured, soil water dynamics were monitored using neutron probes, and midday stem water potential was measured on three representative trees with a pressure chamber at weekly to biweekly intervals. Crop water use was evaluated using evapotranspiration estimates supported by in-field observations, including eddy covariance measurements, to provide context for irrigation scheduling decisions. Yield data were collected at all monitoring locations to quantify spatial and temporal variability in production and to evaluate crop responses to irrigation management informed by the integrated dataset.

Across the study period, average almond yield increased from approximately 1.93 t ha⁻¹ in 2019 to 2.58 t ha⁻¹ in 2021, while substantial spatial variability in both yield and water use persisted among monitoring locations. These findings reinforce the need for variable-rate irrigation approaches in heterogeneous orchard environments. The results demonstrate the value of combining soil, plant, irrigation, and atmospheric measurements within a coordinated monitoring framework capable of informing variable-rate micro-irrigation management. This work provides a foundation for the development of data-driven, site-specific irrigation strategies that move beyond uniform management and enhance water productivity in almond orchards under increasing water constraints.

How to cite: Peddinti, S. R. and Kisekka, I.: Integrated Monitoring Framework for Site-Specific Irrigation Management in California Almond Orchards , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3199, https://doi.org/10.5194/egusphere-egu26-3199, 2026.

EGU26-3997 | ECS | Orals | SSS9.14

A Decision-Support Framework for Performance Assessment and Rehabilitation of Pressurized Irrigation Systems under Water Scarcity 

Serine Mohammedi, Francesco Gentile, and Nicola Lamaddalena

Climate change is intensifying water scarcity and increasing uncertainty in water availability, placing growing pressure on irrigated agriculture, which accounts for nearly 70% of global freshwater withdrawals. In response to these challenges, many irrigation districts have transitioned from open channels to pressurized distribution systems to improve efficiency. However, despite substantial investments, operational performance often lags expectations due to hydraulic constraints, uneven pressure distribution, and limited capacity to diagnose system behavior under variable demand conditions. Addressing these challenges requires integrated approaches that combine field observations with hydraulic simulation to support targeted rehabilitation and enhance system resilience.

This study presents an integrated diagnostic–simulation framework for the performance assessment and rehabilitation of pressurized irrigation systems, applied to District 10 of the Capitanata irrigation scheme (southern Italy) as a representative case study. The district covers approximately 2,000 ha (317 hydrants) and is supplied by a storage reservoir. The proposed methodology couples extensive field-surveys with stochastic hydraulic modeling to capture system behavior under peak and uncertain demand conditions.

Field surveys including infrastructure layout, water delivery rules, design parameters, cropping patterns, and registered irrigation volumes, were utilized to parameterize the simulation. Hourly discharge data was analyzed to identify the critical 10-day peak demand period, representing the most demanding operating conditions. Upstream discharges were estimated using the Clément model and validated against empirical data to ensure consistency.

Hydraulic performance was assessed at two complementary levels using the ICARE and AKLA simulation models, based on 1,000 randomly generated operating configurations of hydrant demand (simultaneous operation and discharge), from which the resulting pressure conditions were computed to explicitly account for demand uncertainty. ICARE quantified network-scale performance through Indexed Characteristic Curves, expressing the percentage of configurations satisfying minimum pressure requirements. AKLA evaluated hydrant-level performance using relative pressure deficit (RPD) and reliability, defined as the frequency with which a hydrant meets the required pressure.

Diagnostic results under peak conditions revealed an overall network performance of only 62%, with significant localized pressure deficits. Based on these findings, we developed a targeted rehabilitation strategy that prioritized existing infrastructure, allowing pipe diameter to increase only where strictly necessary to minimize costs. Post-rehabilitation simulations demonstrated a critical performance shift: the operating set-point improved to 100% satisfaction, with all hydrants meeting minimum pressure requirements.

The proposed framework demonstrates that integrating field diagnostics with stochastic simulation can drive cost-effective rehabilitation, ensuring the resilience of pressurized irrigation networks against the growing threat of climatic uncertainty.

How to cite: Mohammedi, S., Gentile, F., and Lamaddalena, N.: A Decision-Support Framework for Performance Assessment and Rehabilitation of Pressurized Irrigation Systems under Water Scarcity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3997, https://doi.org/10.5194/egusphere-egu26-3997, 2026.

EGU26-5033 | Posters on site | SSS9.14

Integrating Deficit Irrigation Strategies and Precision Agriculture for Sustainable Pomegranate Production in Mediterranean Conditions 

Núria Pascual-Seva, Rossana Porras-Jorge, José Mariano Aguilar, Carlos Baixauli, Julián Bartual, and Bernardo Pascual

Water scarcity in Mediterranean regions demands innovative irrigation strategies for perennial crops such as pomegranate (Punica granatum L.). Previous studies have demonstrated that deficit irrigation approaches—regulated deficit irrigation (RDI) and sustained deficit irrigation (SDI)— reduce water use while influencing agronomic performance and fruit quality. RDI, which applies water restrictions during specific phenological stages, achieved moderate water savings without compromising yield or fruit characteristics, whereas SDI provided substantial water savings (up to 50%) but significantly reduced commercial yield and increased physiological disorders such as fruit cracking. These findings highlight the potential of RDI as a sustainable solution under water-limited conditions.

However, traditional agronomic approaches in these studies assumed uniformity within experimental replications and did not account for variability among individual trees. Our new research addresses this limitation by incorporating precision agriculture techniques, specifically the use of drones equipped with multispectral sensors to capture high-resolution canopy data. This approach revealed considerable differences between trees within the same replication, underscoring the need for site-specific management. The results demonstrate that integrating remote sensing and data-driven strategies is essential to optimize water use efficiency and improve agricultural sustainability in Mediterranean fruit crops.

How to cite: Pascual-Seva, N., Porras-Jorge, R., Aguilar, J. M., Baixauli, C., Bartual, J., and Pascual, B.: Integrating Deficit Irrigation Strategies and Precision Agriculture for Sustainable Pomegranate Production in Mediterranean Conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5033, https://doi.org/10.5194/egusphere-egu26-5033, 2026.

Process-based crop models such as AquaCrop are widely used to assess crop responses to irrigation management and climate variability. However, large-scale scenario exploration and optimization are often constrained by the high computational cost of repeated model simulations. In this study, we develop a machine-learning surrogate model to emulate AquaCrop-OSPy (ACOSP) simulated wheat yields under a wide range of soil-moisture-triggered irrigation (SMT) thresholds and daily maximum irrigation limits (MaxIrr) across 26 growing seasons in Northwest India. A simulation ensemble of 21,840 ACOSP runs was generated by systematically varying SMT (0–100%) and MaxIrr (0–40 mm day⁻¹) for each season. The surrogate model was trained using season-wise climate variability, seasonal precipitation and irrigation strategy parameters (Season, SMT, MaxIrr) as predictors, with wheat yield (t ha⁻¹) as the target variable. We implemented and compared Random Forest and XGBoost regression models using a time-based train–test split to avoid information leakage across seasons. The best-performing XGBoost model explained ~87–90% of the inter-season and management-driven yield variability in the independent test period, while maintaining computational runtimes several orders of magnitude lower than ACOSP. Feature-importance analysis showed that SMT was the dominant explanatory factor, followed by climate-driven seasonal variability, whereas MaxIrr primarily influenced high-stress scenarios. The surrogate model successfully reproduced non-linear yield responses and threshold behaviour, suggesting strong potential for near-real-time decision support and large-scale scenario exploration. This work demonstrates that machine-learning surrogates can complement process-based crop models by enabling rapid evaluation of irrigation strategies, uncertainty assessment, and future climate scenario testing at regional scales. The developed framework is transferable to other regions, crops, and water-limited environments, offering a scalable pathway toward computationally efficient agricultural water-management assessment.

How to cite: Garg, D. and Kumar, H.: Developing a machine-learning Surrogate Model to rapidly predict wheat yields under Soil-Moisture-Triggered irrigation strategies in Northwest India, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10703, https://doi.org/10.5194/egusphere-egu26-10703, 2026.

EGU26-10897 | ECS | Posters on site | SSS9.14

A Preliminary Analysis of Irrigation Strategies Across Global Climate Zones 

Alexandra Dietz and Niels Schütze

Increasing climate variability, more frequent droughts, and growing competition for freshwater resources amplify uncertainty in irrigation water availability and challenge sustainable agricultural water management. Addressing this uncertainty is essential for maintaining crop productivity under changing climatic conditions. This study presents a preliminary, climate-driven assessment of irrigation strategies using numerical irrigation experiments at more than ten climatically representative agricultural sites worldwide.

The site selection is based on the second level of the Köppen–Geiger climate classification, with each site representing a distinct agro-climatic zone characterized by contrasting precipitation regimes, evaporative demand, and seasonal variability. By prioritizing climatic representativeness over dense spatial coverage, the analysis enables systematic comparison of irrigation responses across a broad range of hydroclimatic conditions.

Crop growth and yield responses are simulated using the FAO AquaCrop model, which provides a robust representation of crop water productivity under water-limited conditions. AquaCrop simulations are coupled with multiple irrigation scheduling strategies implemented through the Deficit Irrigation Toolbox (DIT), an open-source probabilistic simulation–optimization framework developed in MATLAB. This integrated modeling approach explicitly accounts for climate-driven uncertainty by evaluating rainfed conditions, full irrigation, and optimized deficit irrigation strategies under stochastic weather forcing. Model outputs include irrigation water demand, yield response, and water productivity, enabling the assessment of trade-offs between production stability and water use efficiency.

The results highlight pronounced climate-dependent differences in irrigation requirements and sensitivity to water availability. In particular, the simulations indicate that deficit irrigation can reduce vulnerability to interannual water scarcity and improve water productivity in arid and semi-arid regions, while offering limited benefits in humid climates.

This preliminary analysis establishes a methodological foundation for a future global-scale assessment of irrigation strategies under uncertain water resources and supports the development of climate-adaptive irrigation management approaches.

How to cite: Dietz, A. and Schütze, N.: A Preliminary Analysis of Irrigation Strategies Across Global Climate Zones, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10897, https://doi.org/10.5194/egusphere-egu26-10897, 2026.

EGU26-11977 | ECS | Posters on site | SSS9.14

SMARTER probe system for precision irrigation in pear tree orchards toward a higher water use efficiency in agricultural soil  

Giacomo Chiarelli, Maurizio Quartieri, Jacopo Rinaldi, Muhammad Huzaifa Mahmood, Greta Nicla Larocca, Elena Baldi, Manuele Pasini, Alex Baiardi, Matteo Francia, Matteo Golfarelli, and Moreno Toselli

Limited rainfall makes irrigation critical for plant growth and optimal yield. In this context, soil moisture management plays a key role in optimizing irrigation practices, improving plant performance, and enhancing fruit quality. However, conventional monitoring systems, based on single or multiple sensors installed along the soil profile, often fail to deliver accurate and representative information on water availability within the root zone. The aim of this research was to evaluate the effectiveness of a real time system made of in situ probes, able to predict the moisture in the soil unit explored by root, for the development of an irrigation recommendation. In a two-year (2024-2025) research experiment carried out in northern Italy, on mature pear fruit trees cv. ‘Abbé Fétel’, grafted on seedlings and planted at a distance of 4 x 2,4 m apart, to evaluate the effectiveness of a smart irrigation system (SMARTER) compared to a traditional one (CONTROL). The main goal of the study was to use a probe system to detect the total amount of water in the first 100 cm of soil depth and wisely select the amount of water to irrigate the crop. Water management in the CONTROL treatment followed the advisory service guidelines, based on daily evapotranspiration, soil texture, and crop phenological stage. In contrast, the SMARTER system applied irrigation according to soil water content measured by potentiometric probes located according to the grid of nine sensors (placed ad different distance and depth from the emitters). Irrigation started when soil matric potential dropped below -0.1 MPa in more than 50% of the volume of soil explored by the root system and was aimed at replacing the optimal water level for the phenological stage. The first year (2024), two treatments were applied: SMARTER vs CONTROL, with an irrigation system made of a single pipeline. While in the second year (2025), a new treatment was added, consisting of the same irrigation system, however water application rate was reduced to maintain only 40% of the volume of soil at a matric potential > -0.1 MPa (SMARTER 2). During the growing season, stem water potential was evaluated as a measure of the plant water status and at harvest the total yield was compared to the control. In comparison to CONTROL, the SMARTER system decreased the volume of water used for irrigation of 36% and 19%, in 2024 and 2025, respectively; while in 2025 the SMARTER 2 showed a 52% of water saved compared to the CONTROL. Total yield and fruit quality were not affected by the treatments during the two-year trial. However, in 2025 growing season, fruit size was increased by SMARTER and SMARTER 2 compared to CONTROL. In conclusion, the real time, in situ smart system used in this experiment, showed an important potential to decrease the volume of water commonly used in the traditional irrigation system, without affecting the total production and fruit quality.

Keywords: soil moisture, water potential, soil matric potential, Pyrus communis, drip irrigation, evapotranspiration rate

How to cite: Chiarelli, G., Quartieri, M., Rinaldi, J., Mahmood, M. H., Larocca, G. N., Baldi, E., Pasini, M., Baiardi, A., Francia, M., Golfarelli, M., and Toselli, M.: SMARTER probe system for precision irrigation in pear tree orchards toward a higher water use efficiency in agricultural soil , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11977, https://doi.org/10.5194/egusphere-egu26-11977, 2026.

EGU26-12937 | Posters on site | SSS9.14

Real-time monitoring and adaptive irrigation control for improved water use efficiency. 

Alessandra Piga, Sara Bortolu, Enrico Vagnoni, Pierpaolo Duce, and Carla Cesaraccio

Mediterranean agroecosystems are increasingly exposed to environmental pressures driven by climate change, including reduced precipitation, rising temperatures, and growing competition for water resources. These trends intensify uncertainty in water availability and pose significant challenges to irrigation management and long-term agricultural sustainability. Improving irrigation efficiency has therefore become a key strategy to optimize water use while maintaining crop productivity under water-limited conditions.

This study presents the development and field application of a low-cost, automated, and smart irrigation system for horticultural crops, designed to enhance water management in Mediterranean agroecosystems. The system was tested during the 2025 growing season on two tomato crop varieties in north-western Sardinia. The area is characterized by intensive agriculture and increasing pressure on groundwater resources.

The experimental setup integrates an intelligent control unit with a local weather station and soil moisture sensors, enabling continuous monitoring of key environmental variables, including air temperature, relative humidity, wind speed, solar radiation, precipitation, and soil water content. Irrigation scheduling was based on real-time soil moisture measurements in relation to field capacity and meteorological conditions, allowing adaptive control of irrigation timing and applied volumes. Smart irrigation data collected over the entire growing season were analyzed and compared with a conventional irrigation management approach. Preliminary results indicate that real-time monitoring combined with adaptive irrigation control significantly improves water use efficiency, reducing irrigation inputs without compromising crop performance.

The study highlights the potential of smart irrigation systems to address uncertainty in water resources by supporting data-driven decision-making and adaptive management. Beyond agronomic benefits, such systems represent operational tools for precision agriculture approaches aimed at sustainable water use and climate adaptation in Mediterranean farming systems.

How to cite: Piga, A., Bortolu, S., Vagnoni, E., Duce, P., and Cesaraccio, C.: Real-time monitoring and adaptive irrigation control for improved water use efficiency., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12937, https://doi.org/10.5194/egusphere-egu26-12937, 2026.

EGU26-13275 | Posters on site | SSS9.14

Co-designing meaningful WEFE Nexus Transition Pathways in Mediterranean Irrigation Systems with stakeholders: Implementing the WEFE Nexus in Agricultural Systems of the Duero Basin 

Leonor Rodriguez-Sinobas, Xenia Schneider, Maite Sánchez-Revuelta, Fernando Nardi, and Daniel A. Segovia-Cardozo

The sustainable management of agri-food ecosystems in Mediterranean regions requires an integrated approach that recognizes the interdependencies between Water, Energy, Food, and Ecosystems (WEFE Nexus). This is especially important in the face of climate change, rising energy costs, and socioeconomic pressure on irrigation systems. This work presents the main results of the participatory process developed at the Nexus Ecosystem Lab (NEL) in Duero, Spain, as part of the NEXUS-NESS project. The project aims to co-design strategies for transitioning toward fair, efficient, and sustainable allocation of natural resources.

The process is based on applying an Ecosystem Innovation approach to the Nexus through a series of multi-stakeholder workshops. These workshops involved irrigation communities, public administrations, the agricultural and energy sectors, academia, and environmental organizations. Using participatory methodologies, including World Café dynamics, Nexus mapping exercises, and a serious game, the main challenges, critical interactions, and territorial priorities in the Duero basin's irrigation systems were identified.

A central element of the process was the co-development of a set of WEFE indicators. These were co-designed in a participatory approach with the Duero basin stakeholders to assess the current status and future scenarios of water, energy, productive resources, and ecosystems, as well as the performance of the measures proposed in the WEFE transition Plan. This approach defined a comprehensible, operational, and relevant indicators that align with the interests, concerns, and actual capacities of local actors. The indicators are meaningful from a territorial perspective and facilitate decision-making.

The results showed that the main challenges lie on: efficiency of water and energy use, economic viability of irrigation, multilevel governance, and integrating ecosystem services into agricultural planning. The co-created indicators also reinforces social learning, transparency, and continuous monitoring of the WEFE transition. More over, they allow for the evaluation of impacts, adjustment of measures, and risks’ anticipation under climate change conditions.

This work demonstrates the effectiveness of Living Labs combined with co-designed of WEFE indicators for operationalizing the WEFE nexus approach in real contexts. This approach provides a solid basis for designing public policies and adaptive management strategies in Mediterranean agricultural basins.

How to cite: Rodriguez-Sinobas, L., Schneider, X., Sánchez-Revuelta, M., Nardi, F., and Segovia-Cardozo, D. A.: Co-designing meaningful WEFE Nexus Transition Pathways in Mediterranean Irrigation Systems with stakeholders: Implementing the WEFE Nexus in Agricultural Systems of the Duero Basin, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13275, https://doi.org/10.5194/egusphere-egu26-13275, 2026.

EGU26-14173 | Orals | SSS9.14 | Highlight

Assessing Farm-Basin Feedback: Deficit Irrigation and Water Savings across the Mediterranean 

Guido Rianna, Lisa Napolitano, Andrea Borgo, Elisa Delpiazzo, Marta Debolini, Simone Mereu, and Annamaria Mazzoni

In Mediterranean and arid environments facing increasing hydro-climatic pressure, irrigated agriculture is central to food security while placing strong pressure on limited water resources. In response, on-farm irrigation optimization, particularly regulated deficit irrigation and efficiency-oriented technologies, has demonstrated benefits in yield stability, water productivity, and farmer income. However, these improvements often produce unintended basin-scale effects, as efficiency gains do not necessarily translate into collective water savings and can undermine long-term water management objectives. Drawing on evidence from four ACQUAOUNT pilot sites (Italy, Tunisia, Jordan, and Lebanon), this contribution examines the trade-offs between farm-level optimization and basin-scale water management objectives. Using a narrative-based Decision Support Tool that integrates climate projections, hydrological modeling, agricultural water demand, and socio-economic evaluation, we assess how deficit irrigation interacts with allocation rules, sectoral competition, and ecosystem requirements under current and future climate conditions. Our analysis shows that in water-scarce basins, economically accessible water resources and productivity-driven incentives often lead farmers to reinvest efficiency gains into expanded or intensified water use, offsetting potential basin-level savings. These dynamics highlight a structural disconnect between agricultural decision-making and sustainable water governance. By disentangling these processes across contrasting contexts, we derive actionable recommendations to better align irrigation practices with basin management interventions. The results support Integrated Water Resources Management (IWRM) approaches that balance agricultural resilience, ecosystem preservation, and climate adaptation, explicitly accounting for cross-scale feedbacks in irrigated systems.

How to cite: Rianna, G., Napolitano, L., Borgo, A., Delpiazzo, E., Debolini, M., Mereu, S., and Mazzoni, A.: Assessing Farm-Basin Feedback: Deficit Irrigation and Water Savings across the Mediterranean, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14173, https://doi.org/10.5194/egusphere-egu26-14173, 2026.

EGU26-15634 | ECS | Orals | SSS9.14

Harvest area exerts nearly twice the influence of climate change on long-term cotton water footprint changes in China 

Shengli Liu, Chenyu Zhang, Tong Li, and Xiongfeng Ma

Freshwater resources have long supported gains in crop productivity, yet their sustainability is increasingly challenged by changes in both the climate system and land. As one of the most important cash crops in China, cotton has undergone notable changes in recent years, with a decline in harvest area and a shift toward dryland regions. Nevertheless, the impacts of such a transition on cotton water consumption and its underlying factors remain unclear. To address this knowledge gap, we employed the water footprint concept, spatial cluster, and decomposition analysis to depict the long-term dynamic of cotton water footprint over regions in China from 1990 to 2020, and to untangle the impacts from various aspects. Our results demonstrated that the total water footprint of cotton in China has substantially decreased, from 24.2 G m3 in 1990 to 11.9 G m3 in 2020, with a rapid decrease in the Yellow River Valley (YERV) and the Yangtze River Valley (YARV) cotton regions, while an increase in the Northwest Inland China (NIC) cotton region. These changes were accompanied by a proportion that varied from 23.5% to 7.8% for the green water footprint and from 70.1% to 87.7% for the blue water footprint, respectively. The geographical centroids of both cotton harvest area and water footprint exhibited a northwestward trend in the NIC and YERV cotton regions, while the YARV cotton region experienced a southwestward shift, along with heightened spatial coupling from the declining distance between such centroids. Changes in the climate system, harvest area, and fertiliser applications resulted in yearly variations in total water footprint over the region, with changes in harvest area driving nearly double the changes in cotton water footprint compared to climate change. Our findings underscore the importance of optimizing cropping patterns to promote sustainable water use and mitigate the adverse effects of climate change on cotton production.

How to cite: Liu, S., Zhang, C., Li, T., and Ma, X.: Harvest area exerts nearly twice the influence of climate change on long-term cotton water footprint changes in China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15634, https://doi.org/10.5194/egusphere-egu26-15634, 2026.

EGU26-17964 | ECS | Orals | SSS9.14

Digital Mapping of Plant Available Water Using PlanetScope Imagery and Pedotransfer Functions 

Faten Ksantini, Miguel Quemada, Irene Borra-Serrano, Jose L. Gabriel, and Ana M. Tarquis

Soil texture is a fundamental physical property that strongly influences other soil properties critical to agricultural productivity. Comprehensive information on soil properties and their spatial variability is essential for the implementation of effective soil management strategies. Digital soil mapping typically relies on data collected from discrete sampling points. Therefore, estimating topsoil properties from satellite data at a high resolution remains a significant challenge. Nevertheless, estimative models can be developed by relating soil physical parameters to remotely sensed and topographic variables.

In this study, pedotransfer functions were developed using multiple linear regression (MLR) to derive soil texture maps for sand silt clay and organic matter (OM). Functions were based on PlanetScope imagery and topographic data derived from a digital elevation model (DEM) at 3 m resolution. The models established statistical relationships between soil properties and selected predictor variables. Model performance was assessed using the coefficient of determination R², showing satisfactory results: 0.64 for clay, 0.64 for OM, and 0.82 for sand.

Finally, management zones based on plant-available water derived from the updated European hydraulic pedotransfer functions (PTFs) were delineated using spatial fuzzy C-means clustering (SFCM), providing a practical framework for precision agriculture and sustainable land management.

Index Terms—precision agriculture, soil texture, multiple linear regression, spatial fuzzy C-means clustering

Acknowledgements: The authors acknowledge the support of SANTO, from Universidad Politécnica de Madrid (RP220220C024) and to NetLIFE-CODES from Agencia Estatal de Investigación (PID2024-157869NB-I00)

 

How to cite: Ksantini, F., Quemada, M., Borra-Serrano, I., Gabriel, J. L., and Tarquis, A. M.: Digital Mapping of Plant Available Water Using PlanetScope Imagery and Pedotransfer Functions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17964, https://doi.org/10.5194/egusphere-egu26-17964, 2026.

EGU26-18798 | ECS | Orals | SSS9.14

Tracking Casing Water Dynamics to Support Peat-Alternative Mushroom Production 

Eoghan Corbett, Brian McGuinness, Akinson Tumbure, and Michael Gaffney

Peat-based casing is widely used in Agaricus bisporus production because it provides a stable structure and a reliable water reservoir for fruitbody development. As the sector moves toward peat-reduced and peat-free casing materials, the way water is stored and released within the casing layer can change substantially, making irrigation decisions less straightforward. We show how embedded sensors make casing water dynamics measurable and interpretable, relate these dynamics to yield and quality outcomes in peat-reduced casings, and are extending the same framework to peat-free systems at industry-representative scale.

The water status of casing treatments, comprising peat diluted in volume proportions with wood-fibre, composted and uncomposted bark, was monitored in real time, using embedded solid-state tensiometers measuring matric potential (Ψm), i.e. how tightly water is held in the casing (more negative Ψm indicates lower water availability). Rather than relying on single-point Ψm values, we focus on time-resolved Ψm behaviour (e.g., the duration of sustained low Ψm and rate of recovery following irrigation). In two repeated peat-reduced casing trials, wood-fibre amendments closely matched peat controls in in-crop Ψm evolution (a similar rate of decline during each flush; not exceeding −34.4 kPa) and produced mushroom yield and quality (colour) that was statistically indistinguishable from peat across both trials. By contrast, bark-amended casings diverged from peat controls: Ψm dynamics were more sensitive to changes in crop management, and yields were significantly lower than peat in the first trial, with uncomposted bark remaining significantly below peat across both trials. Importantly, high pin-set, more common in the looser-structured bark treatments, increased water demand early in the crop cycle and reduced water availability for subsequent flushes, highlighting the need to avoid or control over-pinning to protect against casing structural degradation and related losses in potential yield.

To link in-crop sensor signals to casing hydraulic behaviour, water-release characteristic curves were measured independently (Hyprop 2) for all peat-reduced materials. These curves describe each material’s inherent water-release response, independent of irrigation regime and uptake by developing mushroom, providing a physical basis for interpreting in-crop Ψm patterns and separating material-driven responses from management and demand effects.

We are extending this approach to peat-free casings at 1 m² scale using a balanced blocked design (16 trays per run, two runs) comparing standard irrigation with a sensor-guided watering strategy that applies small in-flush top-ups only when Ψm indicates a persistent deficit. Continuous Ψm monitoring across all trays (24 sensors; one per tray plus dual-sensor subsets) and irrigation event logging will link Ψm time-metrics to yield, grade and mushroom dry matter.

Overall, combining water-release characteristics with in-crop, multi-point Ψm monitoring offers a practical route to understand and manage water availability in peat-alternative and peat-free casings, supporting peat reduction while maintaining yield and quality.

How to cite: Corbett, E., McGuinness, B., Tumbure, A., and Gaffney, M.: Tracking Casing Water Dynamics to Support Peat-Alternative Mushroom Production, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18798, https://doi.org/10.5194/egusphere-egu26-18798, 2026.

EGU26-20823 | ECS | Orals | SSS9.14

HILAM: a spatially consistent framework for bidirectional hydro-economic land-use modelling  

David Rivas-Tabares, Noureddine Bouzidi, and Dionisio Pérez-Blanco

Coupled hydro-economic models are increasingly used to analyse how land-use decisions, water availability, and policy interventions interact in agricultural catchments. However, most existing couplings remain ad hoc and weakly reproducible, largely because hydrological and microeconomic models operate on fundamentally different spatial representations. Distributed and semi-distributed hydrological models require spatially explicit land-use representations (e.g. HRUs, grids, or sub-basins), whereas microeconomic models typically allocate land and water over aggregated administrative units or representative agents. As a result, land-use change is often imposed through static scenario maps or one-way translations, preventing fully operational two-way feedback between hydrology and economic decision-making.

We introduce the hydro-economic land-use interoperability method (HILAM), a spatial template designed to enable consistent, bidirectional coupling between distributed or semi-distributed hydrological models and microeconomic land-allocation models. HILAM is not tied to any specific economic or hydrological model: any land-use allocation model and any spatially explicit hydrological model can be plugged into the framework. HILAM uses a semi-distributed spatial layer that links detailed land-use, soil, and climate data into common spatial units. These units allow crop shares from the economic model to be passed to the hydrological model and hydrological outputs to be returned to the same locations, enabling spatially explicit two-way feedback.

As an illustration of the economic component, we use a positive mathematical programming (PMP) model, representing one member of a broader class of mathematical programming approaches (e.g. linear programming, multi-attribute models, PMP) that can be coupled through HILAM. PMP provides a microeconomic characterisation of farmers’ production choices under binding resource constraints, reproducing observed land-use allocations as the outcome of constrained optimisation while allowing consistent responses to changes in prices, yields, and water availability for irrigation.

As an illustration of the hydrological component, we use the Soil and Water Assessment Tool (SWAT) as one example of a semi-distributed, process-based hydrological model that can be coupled through HILAM. SWAT translates land-use configurations into water flows, soil moisture dynamics, irrigation requirements, and crop water stress, ensuring that economic decisions are grounded in physically meaningful hydrological constraints. Through HILAM, these outputs are returned to the economic model at consistent spatial units, closing the hydro-economic feedback loop. A key innovation of HILAM is that the spatial template explicitly controls the level of spatial detail, allowing modellers to regulate complexity, uncertainty, and computational cost in a transparent and reproducible manner, providing an intermediate alternative between fully gridded simulations and highly aggregated representations.

We demonstrate HILAM through a case study that couples SWAT with a PMP land-use model in an intensively irrigated aquifer system in central Spain. The coupled framework enables continuous feedback between crop choice, irrigation water availability, crop yields, and hydrological responses over multi-year simulations. Results show that spatially explicit hydro-economic coupling produces substantially different projections of water use, crop distribution, and aquifer stress than conventional aggregated approaches, highlighting the importance of spatial interoperability for water governance and climate-adaptation analysis.

How to cite: Rivas-Tabares, D., Bouzidi, N., and Pérez-Blanco, D.: HILAM: a spatially consistent framework for bidirectional hydro-economic land-use modelling , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20823, https://doi.org/10.5194/egusphere-egu26-20823, 2026.

EGU26-21649 | Posters on site | SSS9.14

Enhancing economic irrigation water productivity through sustained deficit irrigation in mandarin under semi-arid conditions 

Pablo Berríos, Abdelmalek Temnani, and Alejandro Pérez-Pastor

Under increasing water scarcity and rising production costs, the competitiveness of Mediterranean agriculture depends on the efficient and economically sustainable use of irrigation water. Beyond maximizing yield, irrigation strategies would be evaluated in terms of their capacity to generate economic returns. With the aim of relating economic water productivity to irrigation strategies in the production of adult mandarin trees in SE-Spain, three randomly distributed irrigation treatments were applied over three seasons: (i) control (CTL), irrigated at approximately 100% of crop evapotranspiration (ETc) throughout the entire crop cycle; (ii) Sustained Deficit Irrigation (SDI), irrigated at 70% of ETc during the entire season; and (iii) Regulated Deficit Irrigation (RDI), irrigated as SDI except during the initial phase of fruit growth stage II, when irrigation was reduced to 35% of ETc until fruits reached about 70% of their final size. The economic irrigation water productivity (EWPi) was calculated as the ratio between economic profit and irrigation water use. For this purpose, we considered the parameters reported by Martin-Gorriz et al. (2022). Accordingly, water and energy costs were set at 0.24 € m⁻³, the mandarin price at 0.33 € kg⁻¹, and a fixed subsidy of 325 € ha⁻¹ from the European Union’s Common Agricultural Policy was included. The profit was calculated as the difference between total revenue and the sum of variable, fixed, and opportunity costs. Total variable costs (TVC) included expenses related to machinery, raw materials, irrigation, and labour, while fixed costs (TFC) comprised depreciation, start-up costs, insurance, and taxes; and total opportunity costs (TOC) accounted for land rental value and the interest on both fixed and variable capital. Despite an average seasonal reduction of 1095 m³ ha⁻¹ in irrigation water under SDI compared with the CTL treatment (5387 m³ ha⁻¹), no differences were detected in yield. In contrast, the RDI treatment, which reduced applied water by an average of 2539 m³ ha⁻¹, resulted in a 29.3% yield reduction relative to CTL. The TFC and TOC remained relatively constant across treatments and seasons, at 1185 and 269 € ha⁻¹, respectively. In contrast, TVC showed a wider variation, ranging from 2875 to 3812 € ha⁻¹, and were mainly driven by water and energy for irrigation. On average, TVC accounted for approximately 70% of the total production costs. Over the study period, the irrigation scheduling of SDI increased the EWPi by 94.3% compared with the CTL (0.68 vs 0.35 € m⁻³), whereas the RDI strategy reduced EWPi a 22.9% due to the water stress intensity reached and its negative effect on crop yield. The relationship between yield and EWPi was linear (y₀=−0.97*** and a=7.49×10⁻⁵***; R2=0.87) and according to this relationship, a minimum yield of 12.9 t ha⁻¹ is required for irrigation water to generate positive economic value. Finally, SDI proved to be an effective and economically robust irrigation strategy, translating water savings into higher economic returns per unit of water and enhancing the competitiveness of semi-arid Mediterranean citrus production systems.

Funding: Biodiversity-Foundation: “Innovative agricultural practices to contribute to environmental improvement and biodiversity in the Mar Menor area (NEWAGROMARMENOR)”. 

How to cite: Berríos, P., Temnani, A., and Pérez-Pastor, A.: Enhancing economic irrigation water productivity through sustained deficit irrigation in mandarin under semi-arid conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21649, https://doi.org/10.5194/egusphere-egu26-21649, 2026.

EGU26-21764 | ECS | Posters on site | SSS9.14

Integrated agronomic management to alleviate water stress in adult almond trees under Mediterranean conditions 

Laura Marín-Durán, Raúl Pérez-López, Juan Talavera, Claudia Monllor, Abdelmalek Temnani, Pablo Berrios, Susana Zapata-García, and Alejandro Pérez-Pastor

Water scarcity has intensified in recent years, becoming an almost permanent constraint on competitiveness in Mediterranean irrigated agricultural systems. In this context, agronomic practices such as regulated deficit irrigation (RDI) and digitalization allow these systems to maintain productivity. Nevertheless, increasing pressure on water resources with climate change projections has driven the search for complementary solutions to alleviate crop water stress. Among these, reducing leaf area through pruning or using biostimulants based on seaweed has shown to be effective in increasing irrigation water productivity (WPi) in agriculture. For this reason, the aim of this study was to evaluate the impact of these combined practices over the agronomic response and WPi of adult almond trees in SE Spain under semiarid conditions. We established a completely randomized factorial experimental design with three factors (Irrigation × Pruning × Biostimulation) and two levels each. For the irrigation factor, we established two levels: precision irrigation (PI), in which irrigation was based on an irrigation threshold of soil water depletion of up to 20% of field capacity during the entire season (0-60 cm depth); and regulated deficit irrigation (RDI) in which the trees were irrigated like PI until phase IV, when the water applied was reduced by 25% during May and June and by 50% during July and August with respect to PI. For the pruning factor, we established two levels based on the intensity: normal pruning (NP) was performed according to the criteria for adult almond trees, removing around 42.8 kg fresh weight per tree, and severe pruning (SP) removing up 76.7 kg fresh weight per tree. Finally, the biostimulation factor was defined according to its application or not: trees without application (NB), while biostimulated trees (BIO) were treated with seaweed-based extracts through foliar spraying and drip irrigation during flowering and fruit set. The results obtained showed that yield were only affected by severe pruning, decreasing by 18.2% in comparison to NP. Even though irrigation water was reduced by 21.4% in trees under RDI with respect to PI (2870 m3 ha−1), yield was not reduced, increasing the WPi in 46.8%. Under PI conditions, WPi increased significantly in biostimulated (BIO) trees under NP. In contrast, SP tended to decrease WPi because of reduced yield compared with NP. The interaction between factors did not show significant differences in WPi. Biostimulation alleviated water stress, leading to an increase in almond size, particularly under severe pruning. The total amount of biomass removed in SP significantly reduced yield due to a lower number of fruits. Consequently, severe pruning may be considered under extreme water scarcity conditions, provided it is complemented with biostimulation, as seaweed-based extracts also enhanced the photosynthetic rate and reduced the intensity of water stress in the trees.

Funding: Laura Marín is thankful for her Research Staff Training contract funded by the Regional Agency for Science and Technology of the Region of Murcia (Fundación Séneca 22340/FPI/23) and co-funded by the company FMC through the FMC Agricultural Sciences Chair at the Technical University of Cartagena.

How to cite: Marín-Durán, L., Pérez-López, R., Talavera, J., Monllor, C., Temnani, A., Berrios, P., Zapata-García, S., and Pérez-Pastor, A.: Integrated agronomic management to alleviate water stress in adult almond trees under Mediterranean conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21764, https://doi.org/10.5194/egusphere-egu26-21764, 2026.

Sustainable agricultural intensification necessitates precise deficit irrigation strategies to address global water scarcity. However, optimizing intra-seasonal scheduling under stochastic climatic conditions remains a complex control problem. While Deep Reinforcement Learning (DRL) offers a promising approach to flexible decision-making, existing applications often exhibit instability due to high-dimensional state spaces and an inability to enforce physical constraints. This study advances state-of-the-art irrigation control by proposing and benchmarking a tailored DRL framework based on Proximal Policy Optimization (PPO), coupled with the AquaCrop-OSPy simulation model. Moving beyond standard implementations, the research introduces specific enhancements to the learning agent: a reduced observation space limited to five causal biophysical variables, action masking to ensure strict adherence to seasonal water quotas, and a dense reward function based on transpiration efficiency. To rigorously quantify the value of information, the proposed approach is benchmarked against both a standard DRL baseline and a global Evolutionary Algorithm configured with perfect foresight of future weather events. This "oracle" defines the theoretical upper bound of achievable crop water productivity. Experimental validation on maize cultivation under deterministic and stochastic scenarios (Tunis and Nebraska) demonstrates that the proposed agent effectively navigates the trade-off between conservation and yield. The enhanced agent captures approximately 93.5% of the theoretical yield potential defined by the oracle, indicating a minimal performance penalty for the lack of future weather knowledge. Conversely, the standard reference implementation failed to converge under tight resource constraints. Economically, the proposed strategy not only stabilizes yields during extreme drought years but also increases mean net profits by up to 66% compared to the baseline. These findings confirm that integrating domain knowledge through action masking and feature selection transforms DRL into a robust tool for near-optimal irrigation scheduling without requiring extensive weather forecasting.

 

How to cite: Schuetze, N., Kunze, J. B., and Grové, B.: Closing the Gap to the Oracle: Benchmarking Domain-Informed Deep Reinforcement Learning for Deficit Irrigation against Perfect Foresight, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21783, https://doi.org/10.5194/egusphere-egu26-21783, 2026.

EGU26-21802 | ECS | Posters on site | SSS9.14

Improving the suitability of desalinated water for irrigated agriculture using adsorbents based on clay and ash 

Jihen Brahmi, Abdelmajid Krouma, Abdelmalek Temnani, Pablo Berrios, Juan Talavera, and Alejandro Pérez-Pastor

Water scarcity and high pressure over available water among productive sectors are one of the main limiting factors on the competitiveness of irrigated Mediterranean crop production. In addition to agronomic practices to improve water productivity, using non-conventional water sources, such as desalinated water (DW), could be an effective solution if its suitability for irrigation is improved, as it often presents constraints related to its mineral composition, particularly due to high concentrations of boron (B), which can reduce crop productivity. In this regard, treating DW with natural and cost-effective adsorbents, such as clay or carbon ash, offers a promising strategy to reduce water nutrient excess and enhance its suitability for irrigation. For this reason, the objective of our work was to evaluate the effectiveness of adsorbents on DW quality, and the response of winter lettuce grown in pots with coconut fiber irrigated with treated DW. Three randomized treatments (n = 5) were established according to the irrigation water source: (i) a control treatment (CTL), in which plants were irrigated with DW containing 1.2 mg L⁻¹ of B; (ii) T1, in which DW was treated by decantation with 20 g L⁻¹ of clay, mainly composed of kaolinite and sepiolite; and (iii) T2, in which DW was treated by filtration using 50 g L⁻¹ of carbon ash. In all treatments, irrigation was scheduled using a threshold corresponding to a maximum soil water depletion of 20% relative to field capacity. Crop physiological response was assessed as net photosynthesis (Pn) and leaf stomatal conductance (Lc), together with aerial fresh weight and the concentration of macro- and micro-nutrients in both leaves and roots. Prior to the ANOVA assumptions were tested and when differences were detected, means were separated by using LSD-Fisher test (p<0.05). Lettuce irrigated with treated water (T1 and T2) showed a significant increase of 4.13% in fresh weight compared with the DW treatment, whereas net Pn and Lc were not affected. Boron concentrations in leaves and roots were reduced by 37.0% and 25.9% for clay and ash treatments, respectively; while leaf Cu concentration decreased by 28.2% in T2. Leaf manganese also decreased by an average of 38.0% in T1 and T2, while no differences were detected for Na, K, Ca, Mg, and Cl. Finally, our results suggested that the use of natural adsorbents could effectively reduce the excess of some nutrients in desalinated water, reducing the negative effect on growth. Furthermore, the selection of an adsorbent should be based on the crop's tolerance to the most critical element, with clay being most effective for filtering B and ash for Cu. This approach offers a practical strategy for utilizing non-conventional water sources in agriculture and reducing pressure on water resources through cost-effective and scalable solutions.

Funding: Biodiversity Foundation: “Innovative agricultural practices to contribute to environmental improvement and biodiversity in the Mar Menor area (NEWAGROMARMENOR)”.

How to cite: Brahmi, J., Krouma, A., Temnani, A., Berrios, P., Talavera, J., and Pérez-Pastor, A.: Improving the suitability of desalinated water for irrigated agriculture using adsorbents based on clay and ash, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21802, https://doi.org/10.5194/egusphere-egu26-21802, 2026.

SSS10 – Digital Soils

EGU26-993 | ECS | Posters on site | SSS10.3

Physics-Guided Modeling of Water Flow in the Vadose Zone 

Chinju Saju and Sarmistha Singh

Soil hydraulic properties, including saturated hydraulic conductivity and water retention parameters, play a central role in regulating infiltration, redistribution, and storage of water in the root zone, making them fundamental for understanding soil moisture dynamics and plant water availability. Their spatial variability must be characterized to enable accurate field‑scale predictions of soil water dynamics using process‑based models. The Richards equation, which serves as a core framework for modeling water movement in unsaturated soils, poses major difficulties for conventional numerical approaches because of its pronounced nonlinearity, intricate boundary conditions, and high computational demands. Physics‑informed neural networks (PINNs) have emerged as a promising tool that integrates governing physical laws into deep learning frameworks and provides a mesh‑free approach for inverse estimation of hydraulic parameters from limited and noisy datasets. While PINNs have proven effective for homogeneous soils, layered profiles remain challenging due to unknown interface depths and parameter heterogeneity. This study develops a novel PINN‑based framework with progressive physics training to estimate saturated and residual soil moisture contents and the α parameter of the van Genuchten model within layered soils by predicting volumetric water content variations from Time Domain Reflectometry (TDR) sensor data. The framework optimizes data fitting and physics regularization to predict soil moisture dynamics across multiple soil depths. Model performance is evaluated using multiple criteria, including Root Mean Square Error (RMSE), Kling–Gupta Efficiency (KGE), and the coefficient of determination (R²), at sensor‑aligned nodes. Incorporating hydraulic continuity constraints into the loss function enhances parameter identifiability and mitigates equifinality. The proposed approach advances vadose zone modeling by embedding hydrological principles within neural networks, thereby improving computational efficiency while preserving physical consistency. By coupling PINNs with field‑scale TDR observations, this framework bridges the gap between theoretical inverse modeling and practical soil monitoring.

How to cite: Saju, C. and Singh, S.: Physics-Guided Modeling of Water Flow in the Vadose Zone, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-993, https://doi.org/10.5194/egusphere-egu26-993, 2026.

Soil organic matter turnover and microbial metabolism are fundamentally driven by the acquisition and utilization of carbon, energy, nitrogen and further nutrients. Understanding how microbial processes respond to different energy and substrate conditions is therefore essential for revealing the mechanisms controlling soil carbon turnover and storage. This study focuses on the microscale dynamics of microbes interacting with different substrates, as well as the associated evolution of metabolic energy. Using a Cellular Automaton framework, a process-based model is developed to couple microbial activity with carbon, nutrients, energy as well as structural dynamics. The model includes local interactions of microbial consumption of organic carbon, nutrient uptake, degradation, and growth, while simultaneously representing the internal energy dynamics of the system. Based on this model, we investigate how different substrate conditions—characterized by varying energy content, stoichiometric properties, and spatial distributions—and connectivity impact energy dynamics, microbial community formation, and necromass accumulation.

How to cite: Peng, C. and Ray, N.: How Substrate Properties and Spatial Connectivity Shape Microbial Energy Dynamics and SOM Turnover, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1852, https://doi.org/10.5194/egusphere-egu26-1852, 2026.

    Spring discharge modelling is often constrained by limited data availability. To address this challenge, we propose a hybrid framework that combines TimeGAN-based data augmentation with LSTM and GRU models for spring discharge forecasting and apply it to the Niangziguan Spring in northern China. First, TimeGAN is trained on the limited historical record to learn the underlying statistical properties and temporal dynamics and is then used to generate high-quality synthetic sequences. To evaluate the usefulness of the generated data, we generate synthetic sequences of the same length as the original training set and train LSTM and GRU models separately using (i) the observed data and (ii) the synthetic data and then compare their performance on the test set. Models trained on observed versus synthetic data show comparable test performance, indicating that the synthetic sequences reproduce the temporal dynamics and statistical properties that are critical for the prediction task and are functionally equivalent to the observed data for model training.

    Next, TimeGAN is used to expand the training set to between one and six times its original size. t-distributed stochastic neighbour embedding (t-SNE) is used to visualise the distributional consistency between observed and synthetic samples. Qualitative assessment shows that similarity in local structure and distribution patterns increases as the amount of generated data increases: synthetic data quality improves markedly when the synthetic dataset reaches three to four times the size of the original dataset, whereas further increases (four times or more) yield no evident additional improvement. Overall, the synthetic data increase sample diversity while remaining consistent with the original time-series distribution, thereby strengthening model learning when incorporated into the training set.

To quantitatively assess the effect of augmentation, we compare the hybrid models with the baseline LSTM and GRU models using training sets with observed-to-synthetic data ratios ranging from 1:1 to 1:4. Results show that both hybrid models consistently outperform their respective baselines across all evaluation metrics (MAE, MAPE, RMSE, and NSE) during training, validation, and testing, demonstrating the effectiveness of TimeGAN-based data augmentation. Notably, performance does not improve linearly with increasing volumes of synthetic data; an optimal observed-to-synthetic ratio of 1:3 is identified. At this ratio, the test NSE reaches 0.91 for the TimeGAN–LSTM model and 0.94 for the TimeGAN–GRU model. Increasing the ratio to 1:4 results in a slight performance decline (e.g. the test NSE decreases from 0.91 to 0.90 for TimeGAN–LSTM and from 0.94 to 0.93 for TimeGAN–GRU), which is likely attributable to minor distributional deviations introduced by excessive synthetic data. These findings highlight the need to determine an appropriate augmentation ratio in generative data augmentation.

    Across all metrics, and particularly at the optimal ratio, TimeGAN–GRU outperforms TimeGAN–LSTM. This advantage is attributed to the GRU’s streamlined architecture, fewer parameters, and stronger adaptability to the “denoised” synthetic sequences generated by TimeGAN, thereby improving prediction accuracy and robustness under data-scarce conditions. Overall, this study demonstrates the effectiveness of TimeGAN in alleviating hydrological data scarcity and provides a practical and quantifiable approach for hydrological time-series prediction in small-sample settings.

How to cite: Hao, Y. and An, L.: A TimeGAN-Augmented LSTM/GRU Framework for Spring Discharge Forecasting Under Limited Data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3628, https://doi.org/10.5194/egusphere-egu26-3628, 2026.

Accurate spatio-temporal information on the soil water balance is critical for an efficient and sustainable irrigation. Recent irrigation scheduling approaches are often limited to a representation of (i) the local or point scale soil water balance by in-situ measurements, (ii) solely surface soil water contents at a coarse spatial resolution by microwave remote sensing technologies, or (iii) only selected components of the soil water balance by simple crop evapotranspiration models. To reconcile the need for accurate estimates of different components of the soil water balance with feasible effort, this study proposes the application of physically-based one-dimensional soil water balance models in a spatially-distributed manner.

The HYDRUS-1D software environment is applied at 70 m spatial resolution across a 1,600 ha study farm in Mecklenburg-Western Pomerania, Germany, with heterogeneous soil textures and different crops. Depth-specific (0 cm to 60 cm, in 10 cm increments) soil water balance simulations were conducted from 1st April to 30th September 2021 and 2022 to estimate the soil water content, plant available water content, infiltration, crop evapotranspiration, root water uptake, and deep percolation, at daily intervals. Simulated soil water contents were validated against in-situ measurements and two microwave remote sensing surface soil water content datasets (“Soil Moisture Active Passive”, SMAP; Sentinel-1, S1-SWC). Spatially distributed irrigation demands and irrigation timings at daily intervals, crop-specific irrigation efficiencies and potential farm-scale water savings are estimated using the simulated soil water balance to explore the contribution of this simulation framework for precision irrigation.

The average simulation performance metrices were Root Mean Square Error (RMSE) = 0.020 m3 m-3, Mean Absolute Error (MAE) = 0.017 m3 m-3, coefficient of determination (R²) = 0.676, and bias = -0.008 m3 m-3, showing a good accuracy of spatially-distributed HYDRUS-1D simulations. The agreement with remotely-sensed data was moderate to weak (RMSEmean = 0.059 (0.150) m3 m-3, MAEmean = 0.049 (0.123) m3 m-3, R2mean = 0.208 (0.141), mean bias = 0.021 (0.108) m3 m-3 for SMAP (S1-SWC)). Average crop specific irrigation efficiencies were 65.0% (potato), 47.3% (wheat), 40.5% (rye), and 58.2% (sugar beet). Potential water savings amounted to 87,006.9 m³ (11.2 % of the applied irrigation water; 2021) and 71,396.6 m³ (10.4 %; 2022).

The proposed simulation framework offers an easy-to-adopt and physically-based foundation for the estimation of crop-specific irrigation demands and irrigation timings at high spatial resolution. Further accuracy improvements by using depth-specific remote-sensing derived soil water contents (“Soil Water Index”) for model calibration are under ongoing investigation.

How to cite: Wenzel, J. L., Conrad, C., Mahmood, T., Volk, M., and Pöhlitz, J.: Supporting precision irrigation scheduling in the heterogeneous landscape of North-Eastern Germany by spatio-temporally distributed HYDRUS-1D soil water balance simulations and remote sensing data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4765, https://doi.org/10.5194/egusphere-egu26-4765, 2026.

Time series of soil moisture is an important status variable for understanding hillslope hydrological processes at the mountain hillside because soil moisture plays a critical role in regulating water retention, generating runoff and controlling vegetation dynamics. In order to explore the ultimate interpretation based on past hydrologic information (e.g., precipitation and soil moisture history) for contemporary soil moisture status, several machine learning models had been applied using systematically collected soil moisture measurements along transects in a hillslope. The fitness of models was evaluated in terms of coefficient of determination, mean absolute error and root mean square error. Appropriate lag extent for parsimonious modeling of soil moisture was explored and determined through heuristic approaches which can be explained by historic gain and loss and uncertainty contribution. Modeling results indicate that the vertical infiltration to weather rock as primary hydrological process for most measurement points. Two distinct modeling performances in soil moisture modeling at top hill and streamside points indicate the degree of hydrologic process complexity can be identified through delineated AI modeling results. This study highlights the potential of machine learning based time series modeling for prediction of soil moisture and corresponding hydrologic process configuration in the mountain hillslope.

How to cite: Kim, S. and Kim, D.: Machine learning modeling of soil moisture time series for a hillside at Sulmachun watershed, South Korea, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6123, https://doi.org/10.5194/egusphere-egu26-6123, 2026.

EGU26-7301 | ECS | Orals | SSS10.3

The Effect of Initial Saturation on Solute Transport and Fracture–Matrix Exchange Rates in Chalk 

Hala Jmili, Tuvia Turkeltaub, Ofra Klein-BenDavid, Natalie De Falco, and Noam Weisbrod

Chalk, a high-porosity carbonate rock, is often intersected by fractures, allowing an increase in permeability by orders of magnitude and solute bypass of the matrix, which induces rapid water flow and contaminant migration. However, depending on the level of saturation at the fracture–matrix interface, mass exchange may occur. Consequently, the matrix can store a significant fraction of infiltrating water and solutes, thereby controlling hydrological dynamics. Despite its importance, our understanding of the sensitivity and variability of exchange rates to the initial level of saturation remains limited. Therefore, this study implemented a unique experimental setup to quantify the effects of initial saturation variation on the transport using Rhenium (Re) as a conservative tracer. The system encloses a chalk core drilled from the Eocene-age Avdat Group in the northwestern Negev Desert, containing a 1 mm artificial vertical fracture along its longitudinal axis to mimic preferential flow pathways observed in fractured chalk formations. Three initial saturation levels were considered: nearly saturated conditions (95%), and unsaturated conditions (40% and 60%). Controlled Re tracer injection, followed by artificial rainwater infiltration, was performed, and outlet concentrations were collected under controlled boundary conditions and analyzed using inductively coupled plasma mass spectrometry (ICP–MS).

 The Re breakthrough curve (BTC) results, under unsaturated conditions, show a higher peak and lower dispersion compared to those under nearly saturated conditions.  These results were further validated by a dual-porosity model (DPM) that was solved using the Hydrus 1D code. The Latin hypercube sampling method was used to generate multiple combinations of hydraulic parameters and longitudinal dispersivity for the DPM. Any simulation that produced an NSE larger than 0.9 was identified as a behavioral simulation. The relationship between solute transfer and initial saturation conditions exhibits pronounced nonlinear behavior. At relatively wet initial conditions (low pressure head —h—), solute transfer remains very limited, indicating weak fracture–matrix exchange. As the system becomes progressively drier, solute transfer increases sharply over a relatively narrow range of pressure heads, reflecting enhanced exchange between mobile and immobile water regions. Beyond this transition zone, a further decrease in initial pressure head results in only minor changes in solute transfer due to intrinsic storage limitations.

 

How to cite: Jmili, H., Turkeltaub, T., Klein-BenDavid, O., De Falco, N., and Weisbrod, N.: The Effect of Initial Saturation on Solute Transport and Fracture–Matrix Exchange Rates in Chalk, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7301, https://doi.org/10.5194/egusphere-egu26-7301, 2026.

Integrated simulation of crop growth and soil water dynamics is essential for improving the understanding of agro-hydrological processes and advancing agricultural water resource management. In this study, a coupled agro-hydrological modeling framework was developed by integrating the crop growth model WOFOST with the soil water flow model HYDRUS-1D to explicitly represent interactions among crop development, root water uptake, and soil moisture dynamics. The framework was applied to a maize cropping system located in an arid and semi-arid region characterized by shallow groundwater, where strong soil–crop–atmosphere interactions and groundwater influences pose significant challenges to conventional modeling approaches. Model parameters were calibrated and validated using field observations collected during the 2017–2018 growing seasons, incorporating site-specific climate data, cultivar parameters, and detailed agricultural management information. To address uncertainties arising from parameter variability and model structural limitations, data assimilation techniques were further embedded into the coupled framework. Observations of soil water content (SWC), leaf area index (LAI), and evapotranspiration (ET) were assimilated using the Ensemble Kalman Filter (EnKF) and four-dimensional variational data assimilation (4D-Var), enabling dynamic correction of both soil hydrological states and crop growth variables. The results demonstrate that the coupled WOFOST–HYDRUS-1D system reliably captures crop–soil–groundwater interactions under shallow groundwater conditions. Data assimilation substantially improves simulation accuracy by reducing soil moisture bias, constraining crop growth trajectories, enhancing ET estimation, and lowering predictive uncertainty throughout the growing season. The proposed framework provides a robust and potentially transferable tool for agro-hydrological simulation in water-scarce regions and supports improved irrigation management and decision-making in precision agriculture.

How to cite: Qin, X., Zhang, C., and Huo, Z.: Improving Agro-Hydrological Process Simulations in Cropping Systems by Coupling WOFOST and HYDRUS-1D with Data Assimilation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8632, https://doi.org/10.5194/egusphere-egu26-8632, 2026.

EGU26-10220 | Posters on site | SSS10.3

Modelling soil functions in agroecosystems: the potential of BODIUM4Farmers for science and practice 

Sara König, Judith Rüschhoff, Leonard Franke, Ulrich Weller, Julius Ansorge, Anton Gasser, Luise Ohmann, Ute Wollschläger, and Hans-Jörg Vogel

Soil functions in agroecosystems such as nutrient cycling, water filtering and storage, productivity, and carbon storage are highly affected by agricultural management as well as climate change. To understand and predict the complex dynamics, mechanistic modelling is a powerful tool.  BODIUM is a site-specific systemic soil model, which was developed for exactly this purpose (König et al., 2023). It integrates the main important biological, physical and chemical processes in soil and at the soil-plant interface, including a dynamic soil structure and explicit microbial activity. It allows for simulating different management practices such as crop rotation, cover crops, tillage, organic and inorganic fertilization.

The web application BODIUM4Farmers builds upon this model and provides a user-friendly interface to support effective soil management (https://bodium4farmers.de/). It was developed in co-design with farmers and agricultural advisors and was already tested by several practitioners.  Users can simulate the effect of different management and weather scenarios on soil functions at specific locations within Germany, where soil and weather data are directly provided from our databases.

In this contribution, we will introduce BODIUM4Farmers with selected examples and demonstrate the potential for agricultural practice, but also for teaching and scientific purposes. Although the simulation results in the web application are presented in an aggregated way to easily compare different indicators for soil functions, the underlying process-based model produces daily data along the whole soil profile and thus allows for in-depth analysis of the scenarios. 

We will further give insights into ongoing development in regard to extending the management measures including intercropping and differentiated soil tillage operations. Within the EU-project DeepHorizon, we are currently also extending BODIUM4Farmers to include databases for soil and weather for whole Europe, increasing the potential of web application even more.

 

König, S., Weller, U., Betancur-Corredor, B., Lang, B., Reitz, T., Wiesmeier, M., Wollschläger, U., & Vogel, H.-J. (2023). BODIUM—A systemic approach to model the dynamics of soil functions. European Journal of Soil Science, 74(5), e13411. https://doi.org/10.1111/ejss.13411

How to cite: König, S., Rüschhoff, J., Franke, L., Weller, U., Ansorge, J., Gasser, A., Ohmann, L., Wollschläger, U., and Vogel, H.-J.: Modelling soil functions in agroecosystems: the potential of BODIUM4Farmers for science and practice, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10220, https://doi.org/10.5194/egusphere-egu26-10220, 2026.

EGU26-10508 | ECS | Posters on site | SSS10.3

Exploring Three-dimensional Soil Moisture Variability using Multi-Source Observations 

Doyoung Kim, Seulchan Lee, Junhyuk Jeong, Shinhyeon Cho, and Minha Choi

Soil moisture is a fundamental state variable governing land–atmosphere interactions and hydrological responses to extreme climate events. Although satellite remote sensing has substantially improved the spatial coverage of surface soil moisture observations, most existing products remain confined to the near-surface layer, limiting their applicability to subsurface hydrological processes. The absence of depth-resolved soil moisture information remains a key challenge for representing infiltration, drainage, and root-zone dynamics. This study examines the potential for advancing soil moisture characterization toward three-dimensional (3D) spatial representations by exploiting the complementary information content of multi-source observations. Spatially continuous surface soil moisture fields provide valuable insights into horizontal variability, whereas ground-based measurements offer essential constraints on vertical soil moisture structure. By investigating soil moisture variability across depth and space under varying hydrometeorological conditions, this work highlights the role of subsurface information in improving the interpretation of surface soil moisture patterns. Rather than presenting finalized estimates, this study adopts an exploratory perspective to emphasize the conceptual importance of incorporating subsurface soil moisture into spatial analyses. The findings aim to contribute to ongoing efforts to improve soil moisture representation for hydrological modeling and to inform future applications in flood and drought assessment using 3D soil moisture frameworks.

 

Keywords: Soil Moisture, Subsurface process, Hydrological extremes

 

Acknowledgment

This research was supported by the BK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education (MOE, Korea) and National Research Foundation of Korea (NRF). This work is financially supported by Korea Ministry of Land, Infrastructure and Transport (MOLIT) as 「Innovative Talent Education Program for Smart City」. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS-2022-NR070339). This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS-2024-00416443). This work was supported by Korea Environment Industry & Technology Institute(KEITI) through Water Management Program for Drought Project, funded by Korea Ministry of Climate, Energy and Environment(MCEE)(RS-2023-00230286). This work was supported by Korea Environment Industry & Technology Institute (KEITI) through Research and Development on the Technology for Securing the Water Resources Stability in Response to Future Change Project, funded by Korea Ministry of Climate, Energy and Environment(MCEE)(RS-2024-00332300).

How to cite: Kim, D., Lee, S., Jeong, J., Cho, S., and Choi, M.: Exploring Three-dimensional Soil Moisture Variability using Multi-Source Observations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10508, https://doi.org/10.5194/egusphere-egu26-10508, 2026.

EGU26-11791 | Orals | SSS10.3

All in? Soil organic carbon and nitrogen turnover modeling including structure dynamics 

Alexander Prechtel, Maximilian Rötzer, and Nadja Ray

The adequate quantification of soil organic carbon (SOC) turnover is a pressing need for improving soil health and understanding climate dynamics. It is controlled by the complex interplay of microbial activity, availability of carbon (C) and nitrogen (N) sources, and the dynamic restructuring of the soil's architecture. Accurate modeling of SOC dynamics requires the representation of these processes at small spatial scales to help understanding the mechanisms that drive these processes.

Among them are the enzymatic degradation of particulate organic matter, the cycling of microbial necromass, but also short-term influences as root exudation. As such, microbial growth and turnover, C respiration and N cycling depend on the C/N ratios of the different organic carbon sources.

We show the feasibility to include such a variety of processes in a microscale model, along with the possibility to simulate soil structure dynamics including the stabilization of soil particles, POM or microbial necromass via organo‐mineral associations. The computational framework is a cellular automaton model that allows to create virtual soils on the basis of µCT or video analysis data of aggregates. Parameters are chosen consistently from rhizosphere experiments without parameter fitting to explore the influence of soil structural heterogeneity and connectivity, N limitation, or necromass formation on SOC storage.

Our results highlight that evolving soil architecture and pore connectivity control substrate accessibility, creating micro‐scale hot and cold spots for microbes. N availability consistently co-limits microbial growth, while a favorable C/N ratio of root exudates substantially reduces respiration and increases CUE over extended periods. Necromass emerges as long‐term SOC pool, as N from short‐term root exudation pulses promotes biomass growth and is converted into slowly degradable necromass, which can be physically protected through occlusion. The findings align with lab experiments and additionally allow us to elucidate the spatial and temporal dynamics of the drivers of carbon turnover. We also present an option to couple such microscale simulations to macroscale transport  model for, e.g., CO2 across soil profiles.

How to cite: Prechtel, A., Rötzer, M., and Ray, N.: All in? Soil organic carbon and nitrogen turnover modeling including structure dynamics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11791, https://doi.org/10.5194/egusphere-egu26-11791, 2026.

EGU26-13067 | ECS | Orals | SSS10.3

Storm intensity and duration impact on deep infiltration in rocky terrains 

Luca Laudi, Ofer Dahan, Manuel Sapiano, Michael Schembri, and Tuvia Turkeltaub

Anticipated future changes in precipitation patterns are expected to affect deep percolation (DP) through the vadose zone and groundwater recharge (GWR) of semi-arid regions such as Malta. Moreover, a diverse range of agricultural practices, from rainfed to irrigated agriculture, complicates the relationship between storm characteristics (magnitude, duration, intensity, antecedent dry spells) and DP. Variations in agricultural practices are often responsible for variations in wetness conditions within the vadose zone, which ultimately impact DP and GWR potential. To better establish this relationship, four years of deep vadose zone water content measurements obtained using a unique vadose zone monitoring system network across various agricultural land uses in Malta were utilised. Furthermore, the rainfall data over these four years were characterised into storms using minimum inter-event times (MITs) ranging from 12 to 168 hours. DP events in the vadose zone were identified from the VMS by detecting the first >1% absolute increase in volumetric water content at the deepest responding sensor within three days after the onset of each storm event. The optimal MIT selection was based on Cohen’s d effect sizes, which quantify how strongly each storm characteristic distinguishes DP-triggering storms from non-DP storms. MIT of 24 hours generally produces the strongest statistical link between storm characteristics and episodic DP across land uses. DP events typically occur during storms delivering approximately 30 mm of rainfall, lasting 1.5–2 days, and exhibiting peak intensities of 8 mm/h. Thus, it is the combination of event magnitude and rainfall duration that consistently distinguishes storms capable of generating DP. For rainfed agricultural land, which comprises more than half of Malta's agricultural landscape, DP is strongly controlled by storm magnitude and intensity, while also showing dependence on dry spell duration. However, in irrigated land uses, DP becomes less dependent on these storm characteristics due to elevated antecedent moisture from irrigation when compared to rainfed systems. Storm duration remains a moderately important factor in determining DP. Analysis of future rainfall projections for the SSP5-8.5 climatic scenario indicate reductions in storm magnitude and duration, together with longer dry gaps between storms. Ultimately, a decline in episodic DP frequency is expected in the rainfed agricultural land of rocky terrains in semi-arid climates such as Malta.

How to cite: Laudi, L., Dahan, O., Sapiano, M., Schembri, M., and Turkeltaub, T.: Storm intensity and duration impact on deep infiltration in rocky terrains, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13067, https://doi.org/10.5194/egusphere-egu26-13067, 2026.

Understanding the migration behavior of thallium (TI) in subsurface environments is essential for Tl pollution prevention. With the wide production and utilization of biochar, the notable ability of biochar colloids to carry environmental contaminants may make these colloids important for Tl(I) mobility. This study systematically investigated the impact of wood-derived biochar (WB) and corn straw-derived biochar (CB) colloids on Tl(I) transport in water-saturated porous media under different pH (5, 7 and 10) and ionic strengths (ISs) (1, 5 and 50 mM NaNO3). WB colloids improved Tl(I) transport under all IS conditions at pH 7 due to the adsorption capacity of biochar and competition for adsorption sites on the sand surface. However, at IS 50 mM, CB colloids slightly impeded Tl(I) mobility due to the straining. In addition, both WB and CB colloids accelerated Tl(I) mobility under all pH conditions at IS 5 mM. At pH 10, the promotion effect was more obvious due to the deprotonation of O-containing functional groups and higher fluidity of biochar colloids. Furthermore, the two-site nonequilibrium model and two-site kinetic attachment/detachment model suitably described the breakthrough curves (BTCs) of Tl(I) and biochar colloids, respectively. The colloid-facilitated solute transport model could also describe Tl(I) transport influenced by biochar colloids reasonably well. This study provides insight into the migration and fate of Tl(I) in the presence of biochar colloids.

How to cite: Chen, W. and Liu, J.: Impact of nanobiochar on thallium(I) transport in water-saturated porous media: Effects of pH and ionic strength, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15432, https://doi.org/10.5194/egusphere-egu26-15432, 2026.

Accurately characterizing soil hydraulic properties—specifically water retention and conductivity—is essential for modeling hydrological risks such as flooding, drought, and solute transport. However, direct measurement of these properties in heterogeneous field conditions remains a significant challenge. This study proposes a novel framework for estimating hydraulic parameters using Physics-Informed Neural Networks (PINNs), which constrain deep learning architectures with the fundamental physical laws of subsurface flow. To address the inherent noise and sparsity of field-collected data, we developed a two-stage training strategy: We first introduce a specialized neural network designed to preprocess raw sensor data and capture the complex spatio-temporal dynamics of soil moisture, an the PINN is subsequently refined to map these dynamics back to the underlying hydraulic properties. Furthermore, we enhanced the model’s robustness by integrating empirical soil-water characteristic models into the Activation function ensuring stability across the full moisture spectrum, from desiccation to saturation. Results indicate that this hybrid approach significantly improves parameter estimation accuracy compared to traditional inverse modeling and standard machine learning techniques. This methodology provides a scalable and robust tool for enhancing the predictive reliability of environmental water management models.

How to cite: Li, N.: A Two-Stage Physics-Informed Neural Network Framework for Estimating Soil Hydraulic Properties, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15711, https://doi.org/10.5194/egusphere-egu26-15711, 2026.

EGU26-16305 | Orals | SSS10.3

Research and Application of a Precise Identification Method for Waterlogged Farmland through Multi-Source Data Integration 

yanbing Zhou, ruixiang Liu, yunbing Gao, shiwei Dong, and yu Liu

The formation of waterlogged areas results from the combined effects of external water accumulation and internal water retention. Accurate identification of such areas is a prerequisite for implementing waterlogged farmland remediation. Existing remote sensing-based identification methods suffer from insufficient coupling of systemic factors and limited recognition accuracy. This study proposes a multi-source data coupling approach for precise waterlogged area identification. The method first utilises high-precision Digital Elevation Models (DEM) to extract topographic depressions. Subsequently, it constructs a Soil Waterlogging Potential Index (SWPI) based on soil texture to identify waterlogging-prone areas. Furthermore, it employs the Soil Water Content Index (SWCI) derived from long-term remote sensing data to identify potential waterlogged areas. Finally, spatial overlay techniques are employed to achieve precise identification of waterlogged areas. Experiments conducted on waterlogged areas within China's Northeast black soil region demonstrate the method's feasibility and accuracy through comparative analysis with traditional remote sensing approaches. This research aims to provide technical support for the conservation and utilisation of black soil farmland in Northeast China.

How to cite: Zhou, Y., Liu, R., Gao, Y., Dong, S., and Liu, Y.: Research and Application of a Precise Identification Method for Waterlogged Farmland through Multi-Source Data Integration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16305, https://doi.org/10.5194/egusphere-egu26-16305, 2026.

EGU26-17443 | ECS | Posters on site | SSS10.3

Process-based modelling of soil functions across agricultural land-use types under climate change 

Lucas Kanagarajah, Thomas Reitz, Martin Schädler, Franziska Taubert, Hans-Jörg Vogel, Ulrich Weller, and Sara König

The functioning of agricultural ecosystems is increasingly threatened by global change drivers, including climate change and land-use intensification, through the disruption of vital ecosystem processes. Process-based simulation models offer a powerful tool to disentangle the complex interactions between microbiota, plants and soils, providing a foundation for long-term projections and scenario analyses.

Within the framework of the “Global Change Experimental Facility (GCEF)”, extensive datasets on plant physiology, soil nutrients, soil microbial and faunal communities, and soil physical properties have been collected across multiple agricultural land-use types. These include conventional and organic cropping systems, intensively and extensively managed meadows, and extensively grazed sheep pastures, each exposed to both ambient and experimentally simulated future-climate conditions.

Here, we present an extended version of the process-based soil model BODIUM, now capable of simulating grassland dynamics in addition to cropping systems. This extension allows for a comparison of ecosystem processes across contrasting land-use types. The model was parameterized for various GCEF land-use systems, and simulated outputs, including plant shoot and root biomass, and soil carbon, nitrogen and water dynamics, were compared with empirical data for model validation. We analyze how climate change and land management influence soil functions and ecosystem processes, highlighting differences between arable and grassland systems. Furthermore scenario simulations under future climate projections can provide insights into the potential resilience of different land-use systems, offering a basis for informing more sustainable management practices.

How to cite: Kanagarajah, L., Reitz, T., Schädler, M., Taubert, F., Vogel, H.-J., Weller, U., and König, S.: Process-based modelling of soil functions across agricultural land-use types under climate change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17443, https://doi.org/10.5194/egusphere-egu26-17443, 2026.

EGU26-18178 | ECS | Posters on site | SSS10.3

Inverse modeling of coupled soil heat and moisture transport constrained by eddy covariance observations 

Mariana Hájková and Michal Kuráž

Coupled soil–atmosphere heat and moisture transport is strongly influenced by phase change and water vapor dynamics. Evaporation and condensation form a crucial link between the soil water balance and the surface energy balance by coupling hydrologic and thermal processes through latent heat exchange. Accurate representation of these processes is therefore essential for modeling moisture and energy dynamics in variably saturated soil. In this study, an established physics-based model describing liquid water flow, water vapor transport, heat transfer, and the surface energy balance was calibrated using observations from an eddy covariance monitoring station. The model explicitly incorporates the surface energy balance and computes its individual components using a combination of physically based formulations and empirical parameterizations, making it particularly suitable for direct comparison with eddy covariance observations. Soil hydraulic and thermal properties, together with key surface energy balance parameters, including surface resistance, atmospheric emissivity, and surface albedo, were estimated through inverse modeling without direct soil sampling. Model calibration was performed using an evolutionary optimization approach and resulted in good agreement between simulated and observed soil moisture, temperature, and turbulent energy fluxes. The calibrated model provides a physically consistent representation of the eddy covariance observations while maintaining a closed surface energy balance, which is commonly not achieved with observation data alone. 

How to cite: Hájková, M. and Kuráž, M.: Inverse modeling of coupled soil heat and moisture transport constrained by eddy covariance observations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18178, https://doi.org/10.5194/egusphere-egu26-18178, 2026.

EGU26-18291 | ECS | Orals | SSS10.3

A novel procedure for geostatistical inversion improved bycombining high-resolution initial guess from travel time inversion 

Huiyang Qiu, Ning Luo, Walter Illman, Chao Zhuang, Yong Huang, and Rui Hu

Hydraulic tomography (HT) has been proven as a robust approach to map subsurface heterogeneity through the joint inverse modeling of multiple pumping test data. However, smooth or even erroneous tomograms occur in data sparse areas. In this study, we present a novel procedure of integrating travel time inversion (TTI) results into geostatistical inversion (GI). By treating specific storage (Ss) to be homogeneous, the estimated diffusivity (D) tomogram from TTI is transferred into heterogeneous hydraulic conductivity (K) field. The derived spatial K distribution coupled with effective Ss estimate are utilized as initial guesses for GI. Comparative cases of HT analyses are designed for a numerical case study to highlight the performance of the novel procedure integrated with the TTI result, in which the geostatistical inversion is initialized with: (a) effective homogeneous K and Ss; (2) zonation model results built by different geological information for dividing zones; (3) heterogeneous initial guess of K from the novel procedure. Based on the comparison of lnK and lnSs fields, validation of drawdowns, and examination of travel times indices, results indicate that the novel procedure integrating TTI into HT analysis is demonstrated as an effective approach, which has good performance similar to when a zonation model is integrated with accurate geological information.

How to cite: Qiu, H., Luo, N., Illman, W., Zhuang, C., Huang, Y., and Hu, R.: A novel procedure for geostatistical inversion improved bycombining high-resolution initial guess from travel time inversion, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18291, https://doi.org/10.5194/egusphere-egu26-18291, 2026.

EGU26-19286 | Orals | SSS10.3

Large effects of small scales: modelling non equilibrium in soil hydraulics 

Ulrich Weller, Sara König, and Hans-Jörg Vogel

Soil hydraulics is a dominant constituent of ecosystemal site conditions. How the water is redistributed and stored determines the fertility of soils, the fate of pollutants, and the capacity of carbon storage of these systems. Although studied excessively in labs and monitored in big facilities like lysimeters and field instrumentations, the modelling of the water redistribution lacks a dominant feature: non equilibrated fast flows, where water enters an unsaturated soil and gets conducted fast through a  network of larger pores. This has consequences at the large scale: water can either bypass the rooting zone and be lost to plant production, or it can be stored in lower soil horizons and be preserved from soil evaporation and be available for plant transpiration. The systemic soil model BODIUM uses a new approach for modelling soil water, which is capable of reproducing these effects. By implicitely considering redistribution of water locally at the pore scale, the macroscopic behaviour follows the observed non-equilibrium dynamics and better matches field measurements. The work shows the water redistribution and its influence on the vapor exchange at the land surface for the regional water balance, both in modelling and in lysimeter measurement.

How to cite: Weller, U., König, S., and Vogel, H.-J.: Large effects of small scales: modelling non equilibrium in soil hydraulics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19286, https://doi.org/10.5194/egusphere-egu26-19286, 2026.

EGU26-19886 | Posters on site | SSS10.3

A new parsimonious approach to modelling soil microbial respiration 

Thibaut Putelat and Andy P Whitmore

Soil microbes are essential to the turnover of the soil organic matter, being involved in the intricate processes of the global carbon and nutrient cycles, hence regulating climate and pedogenesis, which in turn affects plant growth and ecosystem dynamics. Assays of soil functioning such as substrate-induced respiration give access to microbial activity and substrate uptake levels and allows elucidating the biogeochemical pathways of organic matter decomposition and mineralisation. Here we investigate the effects on the soil respiration response of different land-use histories corresponding to long-term grass, arable or fallow by revisiting previous experimental work. We use high temporal-resolution respirometery datasets from the incubation of small soil samples (0.5 g, 4 replicates) collected on experimental plots from the Rothamsted Highfield long term experiment. For each land-use history, the soil respiration rate was measured using a conductimetric respirometer for about 90 hours at 6-minute intervals. Distinct respiration responses are observed depending on whether soils experienced continuous long-term land-use, or transitions from arable to grass or vice versa. Typically grassland soils show an initial exponential-looking decay of the respiration rate followed by a wide respiration pulse with bell-shape characteristics. Fallow soils usually do not exhibit this initial decay phase, while arable soils present oscillations, intermediate between grass and fallow.

Good fits of these data were obtained from developing a parsimonious mathematical model of microbial growth consisting of a set of coupled non-linear differential equations determining the time evolution of the amounts of substrate and microbial biomass in terms of carbon mass concentration, assuming that only an active fraction of the biomass can grow, while its inactive counterpart uses part of the substrate only for its maintenance needs. Our model reveals that the soil respiration rate is governed by three successive phases. For grassland especially, the initial decay originates from the maintenance respiration of the inactive biomass. This is followed by the growth of the active biomass. The last phase results from the microbial biomass degradation once most of the substrate has been consumed. Dimensional analysis of this nonlinear system shows that the dynamics are primarily determined by a single dimensionless parameter, say ρ, which is the ratio of the rate of catabolism to the rate of anabolism. Preliminary results show that the different land uses are clearly distinguished with the hierarchy ρgrass > ρarable > ρfallow > 1. This suggests that grass soils promote a faster turnover of the microbial biomass, than arable and fallow soils.

How to cite: Putelat, T. and Whitmore, A. P.: A new parsimonious approach to modelling soil microbial respiration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19886, https://doi.org/10.5194/egusphere-egu26-19886, 2026.

EGU26-20326 | Posters on site | SSS10.3

Machine Learning with Feature Selection Reveals Key Drivers of Multi-Depth Soil Moisture Content 

xiaoying qiao, ning wang, and qi wu

Soil moisture content (SMC) plays a vital role in agricultural productivity, water resource management, and ecosystem sustainability in semi-arid regions. Despite this importance, most existing machine learning models mainly rely on remote sensing data to predict the soil moisture variation in the surface soil; however, they are constrained by redundant input features and limited interpretability. To address these shortcomings, this study combines the Random Forest (RF) algorithm, Convolutional Neural Networks (CNN), and the Transformer framework to develop a hybrid RF-CNN-Transformer model. Specifically, the RF algorithm, CNN, and Transformer framework are respectively used for selecting influential features, extracting spatial patterns, and capturing long-term temporal dependencies. Applied to the Mu Us Sandy Land using data from six soil depths (5, 10, 20, 40,70, and 87 cm), the model demonstrated high prediction accuracy and training efficiency across all layers compared to baseline models, with values ranging from 0.8586 to 0.984 (mean R² = 0.9507). Interpretability analysis revealed a shift in the controlling mechanisms of soil moisture: shallow-layer SMC is jointly influenced by meteorological conditions and groundwater level, whereas groundwater becomes the dominant factor in deeper layers. Notably, due to the extremely dry climate, precipitation has a relatively minor impact on soil moisture dynamics across all depths. Overall, the proposed RF-CNN-Transformer model enhances both the predictive capability and interpretability of soil moisture variation, supporting precision irrigation and water resource optimization in agriculture, especially in arid and semi-arid regions.

How to cite: qiao, X., wang, N., and wu, Q.: Machine Learning with Feature Selection Reveals Key Drivers of Multi-Depth Soil Moisture Content, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20326, https://doi.org/10.5194/egusphere-egu26-20326, 2026.

EGU26-20819 | ECS | Orals | SSS10.3

Linking Soil Properties and Dielectric Response in the Intermediate Frequency Domain 

Mario Nohra, Paul Vandôme, Gilles Belaud, and Sylvain Blayac

The availability of autonomous sensor networks providing information about soil status offers significant potential for optimizing water management in agricultural systems. Realizing this potential requires robust, in-situ, real-time, and non-invasive measurements of soil water content, salinity, and structure. These sensors are sensitive to many soil characteristics, requiring specific calibration or approximations based on soil types.
Among existing monitoring techniques, electrical impedance spectroscopy provides a direct means of transducing soil physical properties into measurable electrical parameters. Many existing dielectric sensing approaches perform well under specific conditions, particularly at the low and high frequency extremes of the electromagnetic spectrum and in coarse-textured soils. However, a large portion of the intermediate frequency range (10 kHz to 10 MHz) remains comparatively underexploited, despite offering rich information content linked to soil physical and structural properties.
In this study, we combine analytical modeling and experimental dielectric spectroscopy to investigate soil electrical behavior across this intermediate frequency domain. Broadband complex dielectric spectra were measured on soils spanning a range of textures, salinities, water contents and porosities. These measurements are interpreted using effective medium approximations (EMAs), including geometric mixing laws and differential effective medium (DEM) formulations, explicitly accounting for soil geometry, grain shape, and phase connectivity. 
The intermediate frequency regime represents a transition zone where ionic conduction and dielectric polarization coexist, giving rise to complex spectral signatures. In this band, Maxwell–Wagner interfacial polarization, strongly controlled by soil structure and connectivity, overlaps with the rotational relaxation of bound, reflecting how water is retained within the soil matrix.  Together, these mechanisms encode information on soil texture, porosity, salinity, and structure, but require appropriate theoretical frameworks to be meaningfully interpreted.
Our preliminary results demonstrate that DEM-based formulations provide a consistent and physically meaningful description of measured soil dielectric spectra across the intermediate frequency range. The agreement between modeled and experimental spectra confirms the adequacy of the analytical approach and highlights its predictive value for inferring soil texture, salinity, and water content from broadband impedance measurements. These findings reposition the intermediate frequency band from a source of interpretative complexity to a powerful indicator of soil structure for next-generation agricultural sensing. Future work will focus on extending this framework toward automated in-situ experiments, leveraging laboratory-derived datasets to support robust inversion and next-generation sensor deployment.

How to cite: Nohra, M., Vandôme, P., Belaud, G., and Blayac, S.: Linking Soil Properties and Dielectric Response in the Intermediate Frequency Domain, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20819, https://doi.org/10.5194/egusphere-egu26-20819, 2026.

EGU26-22336 | Posters on site | SSS10.3

Modeling the impact of root exudates and microbes on water and nitrogen uptake using a fully coupled soil plant model 

Erik Kopp, Andrea Schnepf, Mathieu Javaux, Thilo Streck, Holger Pagel, and Mona Giraud

Root architecture and soil-plant interactions affect carbon storage and nutrient uptake efficiency of plants. Mechanistic modeling of the soil-plant system enables a better understanding of coupled processes and allows us to predict the response of the soil-plant system to environmental change.

The fully coupled functional-structural soil-plant model "CPlantBox" can simulate plant growth and soil water flow, solute transport and microbial dynamics. In the rhizosphere, the area influenced by the root activity, focus is put on the influence that special root exudates called mucilage have on the plant water uptake and how the microbial activity promoted by the root exudation impacts the nitrogen uptake.

Both the mucilage and the nitrogen cycling in microbes are investigated using a sensitivity analysis: For a given metric of interest (e.g. total microbial biomass after 10 days of root growth) each parameter gets assigned a measure of importance and of interactions with other parameters. This standard approach of sensitivity analysis is extended to parameter inequalities, enabling the inclusion of additional information.

Through the sensitivity analysis we will be able to identify which model parameters determine the effects of root exudates on microbial N mineralization, plant water and N uptake. Measurements from drought and nitrogen limitation experiments will be used to estimate these important model parameters.

 

How to cite: Kopp, E., Schnepf, A., Javaux, M., Streck, T., Pagel, H., and Giraud, M.: Modeling the impact of root exudates and microbes on water and nitrogen uptake using a fully coupled soil plant model, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22336, https://doi.org/10.5194/egusphere-egu26-22336, 2026.

Check dams, widely implemented across the Chinese Loess Plateau as a key soil and water conservation measure, have played a critical role in mitigating soil erosion. Over recent decades, these structures, combined with vegetation restoration and terracing, have contributed significantly to sediment reduction, leading to a marked decline in sediment discharge in the Yellow River. However, due to the absence of a comprehensive and spatially explicit check dam database, the distribution and precise sediment retention benefits of these structures remain poorly quantified. Moreover, as important terrestrial depositional environments, check dams not only intercept substantial amounts of sediment but also bury large quantities of organic carbon, thereby influencing terrestrial carbon cycling—a process that remains poorly understood in terms of its magnitude and stabilization mechanisms. To address these gaps, this study developed the first vector-based dataset of check dams across the Loess Plateau using an object-based classification approach, supported by very-high-resolution satellite imagery (0.3–1.0 m). The dataset provides detailed spatial coordinates, dam land areas, sediment storage volume, and sediment retention capacity for each check dam. Validation based on 1,947 field-surveyed check dams demonstrated high accuracy, with an overall accuracy of 94.4%, producer’s accuracy of 88.9%, and user’s accuracy of 99.5%. Building on this dataset, we integrated satellite and UAV remote sensing with extensive field sampling to derive empirical relationships between dam land area and sediment volume. Our estimates indicate that check dams have retained approximately 10.2 billion tons of sediment, equivalent to 46% of the Yellow River’s sediment flux to the sea between 1970 and 2020. This highlights check dams as a major driver behind the dramatic reduction in river sediment load. Furthermore, we estimated the organic carbon stock trapped within check dam deposits to be about 21.6 ± 9.9 Tg. Notably, the carbon burial rate (468 g C m⁻² yr⁻¹) and burial efficiency (~80%) in these environments significantly exceed those observed in other typical depositional systems, underscoring the role of check-dams as effective sinks for eroded organic carbon and their importance in the terrestrial carbon budget. Our study provides a robust dataset and scientific foundation for quantifying the impacts of soil and water conservation measures on sediment and carbon dynamics, supporting informed decision-making in land management under changing environmental conditions.

How to cite: Zeng, Y., Fang, N., and Ni, L.: Assessing Sediment Retention and Carbon Sequestration Benefits of Check Dams on the Chinese Loess Plateau: Integrating Multi-Source Remote Sensing and Field Data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1965, https://doi.org/10.5194/egusphere-egu26-1965, 2026.

Straw incorporation has been increasingly recommended to control rill initiation and development. However, the unpredictable impact of continuous straw incorporation on residual straw and soil physicochemical properties leads to uncertain variations in rill erosion resistance. In our experiment, maize straw was annually incorporated into runoff plots for two consecutive years. The plots were configured with three fixed factors: straw length (0–2 cm and 2–5 cm), straw amount (4000 kg ha-1 and 8000 kg ha-1), and straw incorporation depth (15 cm and 20 cm). Two rill erosion resistance parameters, soil critical shear stress (τc) and rill erodibility (kd), were measured using a submerged jet apparatus after maize harvesting. The results revealed a 10.98% decrease in τc and a 93.03% increase in kd after two rounds of straw incorporation compared to after the first incorporation, indicating that soil resistance to rill erosion decreased during continuous straw incorporation. Structural equation modeling suggested that the incorporated depth was the dominant contributor to variations in rill erosion resistance following the first straw incorporation, primarily by influencing total porosity and saturated water content. As soil agglomeration progressed driven by straw decomposition, the straw amount had an increasingly indirect effect on rill erosion resistance, with primary factors shifting to capillary porosity, straw residues, water-stable aggregates, humic substances, and the humus fraction. Following continuous straw incorporation, both τc and kd increased with the straw amount but decreased with the incorporated depth, indicating that excessive or shallow incorporation of straw can effectively prevent rill scouring under low shear stress but is less effective under high-stress conditions. Our study contributes to a deeper understanding of the dynamics of rill erosion resistance during continuous straw incorporation and provides a valuable reference for optimizing straw-returning strategies on sloping farmland.

How to cite: Zhang, Y. and Fang, N.: Dramatical variation in rill erosion resistance during two-year continuous straw incorporation on sloping farmland, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2261, https://doi.org/10.5194/egusphere-egu26-2261, 2026.

Climate change and intensified human activities have profoundly altered hydrological processes in watersheds worldwide. Soil erosion and sediment yield are key indicators of watershed hydrological responses, with far-reaching consequences for water resources, landscape evolution, ecosystem functioning, and socio-economic sustainability. While most existing studies focus on rainfall-driven water erosion, hydrological processes in climatically transitional regions remain less well understood. In such regions, the alternating and combined effects of multiple erosive agents can increase ecological vulnerability and amplify erosion and sediment yield risks. Here, we present a long-term investigation of hydrological and sediment dynamics in representative wind-water erosion crisscross watersheds in northern China. These watersheds are located within an arid and semi-arid climatic transition zone and feature a complex geomorphic setting comprising aeolian sand landscapes and loess hilly terrain. This combination gives rise to distinct hydrological behaviors. Multi-temporal analyses show that precipitation and runoff are similar between the two geomorphic units. In contrast, the loess hilly region exhibits significantly higher annual sediment yields and a much stronger seasonal concentration, with sediment transport being highly episodic and dominated by a few flood events during the rainy season. Attribution analyses indicate that watershed topography, soil texture, and landscape complexity jointly control spatial variability in sediment yield. In particular, the complex composition of underlying surfaces promotes the formation of hyperconcentrated floods, during which peak suspended sediment concentrations frequently exceed 300 kg m-3. River discharge-sediment hysteresis analyses further demonstrate that ecological restoration has reduced flood process complexity and sediment source variability. However, hyperconcentrated flows remain the dominant driver of sediment production, sustaining a high erosion risk. Futhermore, we observe an increasing alternation of drought and flood extremes in this region, pointing to growing hydrological instability. Under future scenarios of intensified climate extremes, such variability is likely to further amplify erosion and sediment yield risks. These findings highlight the importance of integrated monitoring of soil and water processes across contrasting geomorphic units to improve erosion risk assessment and watershed management under global change.

How to cite: Jing, T. and Fang, N.: Hydrological Processes and Sediment Dynamics in Climatically Transitional Watersheds under Climate Change and Human Activities, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2385, https://doi.org/10.5194/egusphere-egu26-2385, 2026.

EGU26-2472 | ECS | Posters on site | SSS10.5

Improving Sediment Source Tracing Accuracy by Coupling Particle-Size Information 

Lingshan Ni, Nufang Fang, Haobang Niu, Jintian Zhang, and Yi Zeng

The particle size sorting effect during erosion significantly undermines sediment source tracing accuracy. This study proposes an innovative strategy integrating particle size information to enhance traditional methods. Laboratory experiments using sediments with fine-particle enrichment ratios showed that under strong sorting, traditional methods incurred high errors (MAE: 29.3%), while the new strategy reduced MAE to 6.8% by optimizing fingerprint matching. Validation via simulated rainfall across slopes (5°–25°) and intensities (60–120 mm/h) confirmed broad applicability. MAEs for geochemical and mid-infrared spectral tracing remained below 9.7% and 8.3%, respectively, significantly outperforming conventional methods. In high-sorting scenarios (e.g., 5°/120 mm/h), accuracy gains ranged from 31.3% to 64.4%. Mechanistically, the strategy isolates sorting interference, preserving source-like fingerprint characteristics. It also reveals spectral tracing's superior sensitivity to mineralogical differences in fine fractions, supporting multi-dimensional tracing systems. This research provides a breakthrough in overcoming the long-standing constraint of particle size sorting, with practical implications for understanding erosion and enabling precision source management.

How to cite: Ni, L., Fang, N., Niu, H., Zhang, J., and Zeng, Y.: Improving Sediment Source Tracing Accuracy by Coupling Particle-Size Information, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2472, https://doi.org/10.5194/egusphere-egu26-2472, 2026.

With the progressive advancement of the global “Blue Transition” strategy, extensive areas of natural wetlands have been converted into high-intensity fishponds to secure the global supply of aquatic protein. Aquaculture currently accounts for nearly 50% of the world’s edible fish production, with Asia contributing approximately 88% of the total output. Despite its critical role in food security, this large-scale transformation of land cover has generated substantial environmental risks, including wetland degradation and loss, declining water quality, and disruptions to regional hydrological cycles. Owing to the fragmented spatial configuration of aquaculture ponds and their pronounced spectral heterogeneity, existing global land-cover products remain inadequate for accurately detecting these subtle yet widespread human modifications, frequently misclassifying aquaculture ponds as natural water bodies or agricultural land. The absence of consistent, long-term benchmark datasets has therefore severely constrained rigorous assessments of the global environmental footprint of aquaculture expansion.

To address this critical data gap, this study leverages the Google Earth Engine (GEE) cloud-computing platform to integrate more than 200,000 multi-source satellite images from the Landsat and Sentinel missions spanning the period 2000–2025. Based on this extensive archive, a global dynamic monitoring framework for fishponds was developed at a spatial resolution of 30 m. A standardized validation dataset comprising 15,000 reference points was established across 12 representative geographic regions worldwide through systematic, expert-level visual interpretation. The proposed methodological framework combines a newly developed Aquaculture Pond Index (API) with a Support Vector Machine (SVM) classifier, explicitly targeting the persistent spectral confusion between aquaculture ponds and paddy fields in complex inland environments.

Using this framework, preliminary quantitative analyses yielded the following key findings. (1) Classification accuracy: The proposed approach achieved a global Overall Accuracy (OA) of 81.6% with a Kappa coefficient of 0.79. In complex inland landscapes, classification performance improved by approximately 12% relative to existing mainstream global land-cover products, demonstrating the robustness of the API in discriminating aquaculture ponds from spectrally similar land features. (2) Areal dynamics: Between 2000 and 2025, global fishponds exhibited a persistent expansion trend, with total area increasing by approximately 35%. Approximately 65% of this expansion was attributed to the conversion of natural wetlands and low-lying agricultural land. (3) Spatial patterns: A pronounced pattern of land-oriented clustering was identified, with inland aquaculture expansion rates surpassing those of traditional coastal regions. Emerging economies in Southeast Asia and East Africa have increasingly become new growth centers for global aquaculture development.

This study fills a critical gap in long-term, spatially explicit monitoring of inland aquaculture at the global scale. The findings provide a robust scientific basis for evaluating the long-term impacts of human-driven aquaculture expansion on surface water resources and offer essential spatial benchmark information to support the reconciliation of global food security objectives with wetland conservation priorities under the United Nations Sustainable Development Goals (SDGs).

 

How to cite: Liu, X., Yang, X., Niu, L., Zhong, K., and Tong, Y.: Spatio-temporal Dynamics and Driving Mechanisms of Global Human-Transformed fishponds the “Blue Transformation” Paradigm, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4331, https://doi.org/10.5194/egusphere-egu26-4331, 2026.

EGU26-4538 | ECS | Posters on site | SSS10.5

Validate satellite remote sensing soil moisture with ground-based methods in dryland 

Ramson Kabenla, Arnon Karnieli, and Tuvia Turkeltuab

Soil moisture is a key component of the Earth system and hydrological cycle. Accurate soil moisture estimates are critical for many applications. Global soil moisture measurements are primarily derived from microwave remote sensing (RS); however, their spatial resolution is typically coarse, often on the order of kilometers, and is impacted by various factors. Therefore, in situ ground measurements should be used to improve the spatial and temporal representation of soil moisture in RS. The current study presents a comparative analysis of soil moisture data retrieved from Time Domain Reflectometry (TDR), Electromagnetic Induction (EMI), Cosmic-Ray Soil Moisture Observation System (COSMOS), and satellite remote sensing soil moisture derived using the OPTical TRApezoid Model (OPTRAM). The study site is located in a semi-arid environment, with a mean annual rainfall of 150 mm that falls between October and May. EMI measurements were conducted manually during the dry summer and wet winter seasons. Concurrently, TDR at depths of 10 and 20 cm and COSMOS continuously monitored and collected soil moisture data, respectively. Satellite information for the dates of the EMI surveys was retrieved from Sentinel-2 images.

Various correlation analyses were performed. The spatial and seasonal relationships between apparent electrical conductivity (ECa) and remote sensing soil moisture (RSSM) were also tested. At the beginning of the winter season, after a long dry spell, the ECa values correlated negatively with the RSSM. The best positive correlation occurred only after a long period of water percolation. The correlation between TDR and RSSM was the strongest among the methods. Meanwhile, COSMOS soil moisture also showed a strong positive correlation with RSSM, stronger than with ECa.

Concerning EMI measurements, soil moisture variability was minimal after five months of a dry, hot summer. Following several rain events, the ECa values exhibited high variability, which was related to increases in soil moisture. The RSSM showed a corresponding phenomenon: during the dry period, a narrow distribution of values was observed, and after a number of rain events, the distribution expanded. Thus, the ground-based EMI method and RSSM indicated the same spatiotemporal dynamics of soil moisture in the subsurface of dryland.

It is concluded that the RSSM represents the spatiotemporal conditions of the top-soil moisture conditions, but only after sufficient time for water percolation and distribution. TDR and COSMOS provide reliable soil moisture data to correct RSSM across time and space, whereas EMI is seasonally dependent (positive correlation during very wet periods and negative correlation after long dry spells).

How to cite: Kabenla, R., Karnieli, A., and Turkeltuab, T.: Validate satellite remote sensing soil moisture with ground-based methods in dryland, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4538, https://doi.org/10.5194/egusphere-egu26-4538, 2026.

Soil organic carbon (SOC) has a significant impact on soil health and is vital for achieving net zero emissions in crop production systems. Therefore, developing cost-effective measuring and monitoring methods for SOC is an urgent priority. Visible near-infrared (Vis-NIR) spectroscopy has the potential to aid in SOC monitoring as an efficient and low-cost method. Using the Canadian Prairie Soil Spectral Library (CPSSL, n = 8392), which encompasses the provinces of Manitoba, Saskatchewan and Alberta, we aimed to examine the potential to predict SOC content for subsequent samplings at the local and provincial scales in the Canadian prairies. The local scale involved a long-term field experiment where SOC was measured in 1987 and 2003, with the last sampling in 2015 (n = 74). At the provincial scale, SOC was measured on producer fields in Saskatchewan in 1996, 2005 and 2011, with the last sampling in 2018 (n = 360). Partial least squares regression (PLSR), Cubist and Global-Local were compared by using site-specific (local scale, n = 150), study-specific (provincial scale, n = 1985) and the remaining CPSSL samples (global, n = 2628 and 2633 for the local and provincial scale, respectively) as the calibration sets. The site-specific with PLSR gave the best prediction of SOC for the 2015 sampling at the local scale (root mean square error (RMSE) = 0.14% SOC, ratio of performance to interquartile range (RPIQ) = 7.5) followed by the site-specific with Cubist (RMSE = 0.15%, RPIQ = 6.8), Global-Local (RMSE = 0.20%, RPIQ = 5.1) and the global calibration with Cubist (RMSE = 0.29%, RPIQ = 3.6). The study-specific with Cubist best predicted the 2018 sampling at the provincial scale (RMSE = 0.36%, RPIQ = 2.2) followed by the study-specific with PLSR (RMSE = 0.47%, RPIQ = 1.7), Global-Local (RMSE = 0.46%, RPIQ = 1.8) and the global calibration with Cubist (RMSE = 0.52%, RPIQ = 1.6). While the site- or study-specific calibrations, as expected, provided the most accurate predictions, data mining and machine learning models with the CPSSL showed great promise, especially at the local scale. Our results showed that SOC monitoring at the local scale with Vis-NIR using site-specific samples can be reliable, thereby reducing costs. At the larger provincial scale, models based on soil texture and/or soil classification, and inclusion of covariates may be necessary to improve prediction precision depending on the level of accuracy required. Overall, this study suggests that using Vis-NIR in combination with soil spectral libraries with temporal data and machine learning models can improve efficiency in SOC monitoring.

How to cite: St. Luce, M. and the CPSSL Team: Soil organic carbon monitoring at the local and provincial scales using visible near-infrared spectroscopy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5834, https://doi.org/10.5194/egusphere-egu26-5834, 2026.

Precision management of medicinal plant resources is critical for the sustainability of traditional medicine industries. However, accurate identification of genetically similar herbs in heterogeneous environments remains challenging due to high spectral similarity and the "curse of dimensionality" in UAV hyperspectral data. To address these issues, this study challenges the conventional "global optimization" paradigm by proposing a hierarchical Class-Specific Feature Selection (CSFS) strategy. Integrating SPA, CARS, GA, and RFE, this strategy extracts parsimonious diagnostic features tailored to the unique separability of each species, rather than a uniform subset. Furthermore, a probability-calibrated Stacking Ensemble model (RF-LR) was constructed to resolve decision ambiguity in transition zones. The results demonstrate that the CSFS strategy successfully mitigated data redundancy, achieving a dimensionality reduction rate of 96%–98% (reducing 321 features to 5–14 key variables). Mechanistic analysis revealed distinct bio-optical drivers for separability: Melicope pteleifolia is distinguished by pigment-induced spectral shifts in visible bands, Murraya exotica by chlorophyll-sensitive red-edge traits, and Zanthoxylum nitidum by morphology-driven canopy textures. Consequently, the RF-LR model achieved an Overall Accuracy of 97% and a Kappa of 0.96, significantly outperforming traditional classifiers (RF, XGBoost, SAM) in terms of stability and generalization. This study validates the effectiveness of coupling class-specific optimization with decision-level fusion, providing a robust, interpretable, and lightweight technical solution for the operational monitoring of medicinal plant resources.

How to cite: Chang, X.: Precise Mapping of Medicinal Crops Using UAV Hyperspectral Image: A Strategy Driven by Crop-Specific Feature Selection and Decision-Level Fusion Classifier, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6388, https://doi.org/10.5194/egusphere-egu26-6388, 2026.

         Diameter at Breast Height (DBH) is a critical parameter for global carbon cycle modeling and forest biomass estimation. Conventionally, Individual Tree Segmentation (ITS) serves as the necessary prerequisite for DBH extraction. However, in high-density natural forests, this dependency becomes a bottleneck: severe canopy overlap and understory occlusion often cause traditional ITS algorithms to fail, severely limiting the accuracy of subsequent DBH retrieval.
          To address this challenge using handheld LiDAR, this study proposes an "Interference Rejection" strategy, shifting the focus from the challenging full-tree segmentation to targeted "stem semantic extraction." We argue that for DBH retrieval, separating the entire tree structure is unnecessary. Therefore, based on the PointNet++ framework, our method actively identifies and filters out non-essential interference (e.g., canopy foliage and shrub noise) from the LiDAR point clouds, isolating clean stem points directly.
             We validated this framework in the boreal forests of Mohe, China. Experimental results demonstrate the significant advantage of our approach. While recent mobile laser scanning studies typically report DBH estimation RMSEs ranging from 1.5 to 3.0 cm due to segmentation errors in complex environments, our "stem-focused" strategy achieved a superior RMSE of 1.26 cm. This workflow effectively bypasses the limitations of traditional segmentation, providing a highly automated and precise solution for forest inventory.

How to cite: JiaLiang, C.: From Tree Segmentation to Stem Extraction: A Robust DBH Estimation Framework for Complex Forests using Handheld LiDAR and PointNet++, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6392, https://doi.org/10.5194/egusphere-egu26-6392, 2026.

EGU26-9299 | ECS | Posters on site | SSS10.5

Linking climate drought indices with spatial monitoring data to project agricultural water storage requirements 

Wendi Wang, Eugenio Straffelini, Rohini Sreenivasan, and Paolo Tarolli

Climate change is intensifying drought risk and hydroclimatic variability in many rainfed agricultural regions, posing increasing challenges for smallholder farming systems. Access to reliable on-farm water storage is essential, particularly during short-term droughts affecting critical stages of crop growth. Small agricultural ponds are a low-cost and widely adopted solution for buffering rainfall variability, yet their adequacy is rarely evaluated through integrated monitoring frameworks that link climate drought indicators with spatial observations of land use and water storage at the local scale. Despite increasing availability of climate data and remotely sensed land and water information, a clear gap remains in systematically connecting drought monitoring with on-farm water storage requirements under future climate scenarios in rice-based systems. This study assesses how climate change may alter agricultural pond requirements in the rice-growing region of Palakkad, Kerala (India) by integrating multi-temporal climatic drought indicators with spatially explicit land-use and water storage datasets. Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) were derived for historical (1984–2014) and future periods (2020–2050 and 2070–2100; CMIP6) under SSP4.5 and SSP8.5 scenarios. These indicators were combined with spatial rice cultivation maps of Palakkad and georeferenced pond distribution data to construct a composite agricultural water stress index. By comparing present and future conditions, the study identifies areas where water stress is projected to intensify and where existing pond availability may become insufficient. The results highlight priority zones where additional pond infrastructure will be critical to sustain rainfed rice farming systems in Palakkad. By bridging climate drought monitoring and spatial water storage assessment, this research advances a transferable, monitoring-based decision-support framework for climate-resilient agricultural water management.

How to cite: Wang, W., Straffelini, E., Sreenivasan, R., and Tarolli, P.: Linking climate drought indices with spatial monitoring data to project agricultural water storage requirements, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9299, https://doi.org/10.5194/egusphere-egu26-9299, 2026.

EGU26-9668 | ECS | Orals | SSS10.5

Detecting changes in soil water content response under climate extremes using long-term lysimeter data 

Nedal Aqel, Jannis Groh, Lutz Weihermüller, Ralf Gründling, Andrea Carminati, and Peter Lehmann

Soil water content dynamics describe the response of soil functions to atmospheric forcing and provide insight into soil hydraulic properties and soil health. Abrupt changes in climatic conditions may lead to persistent shifts in this response, reflecting structural alteration rather than short-term variability. Detecting and reproducing such changes remains challenging, as most modelling approaches assume stationary soil properties and are not designed for long-term monitoring.

In this study, to detect persistent changes, we analyse multi-year lysimeter observations from the SOILCan network that is part of the TERrestrial ENvironmental Observatories (TERENO). For that purpose, we use a data-driven approach that combines a neural network with seasonal–trend decomposition. The model is trained on a lysimeter exhibiting stable soil water dynamics and subsequently applied to lysimeters of different soil origins exposed to contrasting climatic conditions. Differences between observed and modelled soil water content are tracked over time to test whether the soil moisture-climate relationship remains stable under changing conditions.

Persistent changes in soil water response are identified when model residuals exhibit a sustained bias over time, indicating a shift in the underlying soil–climate interaction. Based on this behaviour, soil dynamics are classified as stable, resilient, or changed. Application to the extreme drought of summer 2018 in Germany shows that while soil water dynamics are often preserved under typical conditions, extreme drought and exposure to new climatic regimes can induce lasting changes, even when soil texture remains unchanged. The proposed approach thus provides an early-warning capability for detecting emerging changes in soil hydraulic functioning from long-term monitoring data.

How to cite: Aqel, N., Groh, J., Weihermüller, L., Gründling, R., Carminati, A., and Lehmann, P.: Detecting changes in soil water content response under climate extremes using long-term lysimeter data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9668, https://doi.org/10.5194/egusphere-egu26-9668, 2026.

EGU26-10086 | ECS | Posters on site | SSS10.5

Multi-scale sensing and ML fusion reveal the accessibility paradox driving soil degradation in alpine pastures 

Mulun Na, Francesco Bettella, Giulia Zuecco, and Paolo Tarolli

Alpine soil cover and water resources face compounding pressures from climate extremes and land-use intensification. Yet, monitoring degradation remains challenging as coarse satellite data often mask localized hydrological failures. We address this by integrating high-resolution UAV imagery, historical aerial surveys, and Sentinel-2 time-series with meteorological networks in an alpine silvopastoral system. Using Machine Learning to fuse topographic, climatic, and spectral datasets, we reveal a critical divergence in detection: while satellites suggest landscape greening, sub-meter UAV sensing unmasks degradation hotspots hidden by sub-pixel heterogeneity. Crucially, these hotspots are not driven by steep-slope erosion, but by a "climate-accessibility mismatch" concentrated on gentle, convergent slopes. Here, livestock congregation overwhelms physical soil resilience, particularly during pulse drought events. Coupling this framework with CMIP6 projections further demonstrates that future degradation risk is structurally constrained by topographic accessibility rather than linearly coupled with warming. This implies a "saturation" trajectory defined by landscape morphology. Our findings highlight how fusing high-resolution topography with AI modeling precisely identifies "tipping point" zones, translating complex sensing data into targeted decision support for sustainable alpine management.

How to cite: Na, M., Bettella, F., Zuecco, G., and Tarolli, P.: Multi-scale sensing and ML fusion reveal the accessibility paradox driving soil degradation in alpine pastures, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10086, https://doi.org/10.5194/egusphere-egu26-10086, 2026.

Productive agricultural areas of Italy’s northeast are under ever-increasing strain from extreme events, such as drought. Largely irrigated agriculture, the northeast is a producer of key staple crops like corn and wheat that underpin food security both locally and globally. Irrigation water management in the area typically falls under the control of regional water authorities (Consorzi di Bonifica). Staff within water authorities include both farmers and technical experts; thus, knowledge of water management may vary. Regional drought risk and the limits of technical capacity among water authority employees highlight the need for a framework to bridge gaps in technical knowledge. Identification of priority areas and hot spots during the key irrigation months, May to September, is critical to sustaining agricultural production and improving resilience to extremes such as drought. A threshold-based framework using standard drought-related variables, Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), and Surface Soil Moisture (SSM) from largely code-free sources at a 1 km spatial resolution and at a monthly timestep can help to identify regional priority areas and persistence-based hot spots. When comparing monthly priority from May to September across three distinct rainfall years, a wet (2019), normal (2020) and dry year (2022), results showed greater variability across months in 2019 and 2020, regardless of one year being wetter than the other. In the dry year, there was a notable increase in priority areas moving into the middle summer months, with a peak in July of the highest priority level. Results align with existing 2022 drought research, which shows that extremes were highest in the middle summer months. Persistence-based hot spots indicated that, for each month across the three years of interest, higher-priority hot spots were more prevalent in June and July, with the highest-priority hot spots primarily located in the central and eastern parts of the study area, respectively. Past drought events, such as the extreme event in 2022, have led to water shortages and water-use restrictions. The increasing frequency of such events may require decision-makers within water authorities to prioritize irrigation water use in the face of shortages or restrictions, and a reproducible framework can aid in such decision-making.

How to cite: Lippa, M. N. and Tarolli, P.: Mapping Irrigation Priority Areas and Hot Spots in Northeast Italy: A Simplified Framework for Water Authorities, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10400, https://doi.org/10.5194/egusphere-egu26-10400, 2026.

Aluminum oxide extraction from bauxite generates over 3,000 tons of filtered bauxite residue daily at Rio Tinto’s Vaudreuil plant. Managing these mine tailings includes addressing the risks of fugitive dust scattering from their surfaces while they are momentarily stored in the open at the disposal site in Jonquière, Quebec. To mitigate these risks, continuous monitoring of the drying process is imperative. A real-time quantification of their surface moisture content (SMC) is necessary to predict and prevent fugitive dust scattering, thereby reducing managing and mitigating costs. Albedo measurements in the near infrared (λ = 1200–1550 nm) will be shown to be a precise, sensitive and selective optical method for characterizing the mine tailings’ SMC and monitoring their drying rate. A portable device has been designed for continuous in situ SMC measurement under adverse environmental and operational conditions. This device also facilitates laboratory investigations into the dependencies of the mine tailings’ drying rates on ambient air temperature and relative humidity, revealing how atmospheric boundary conditions influence water transport mechanisms within their interconnected porous network, namely capillary pumping and gaseous diffusion. Frozen tailings show reduced drying rates due to suppressed capillary transport, while increasing temperatures and decreasing relative humidity of the ambient air accelerate drying rates. A comprehensive and quantitative knowledge of the impact of these key parameters, along with that of meteorological conditions such as wind speed and solar irradiance, and their recent history, should improve our description of water transport mechanisms and kinetics within mine tailing. The quantification of their drying rates should also improve our prediction of the evolution of their SMC and promote the development and implementation of models and tools necessary for the forecasting and prevention of fugitive dust scattering events thereby contributing to the reduction of the environmental impact of mine tailings disposal site.

How to cite: Dessap Pefete, G.-A. and Ayotte, P.: Spectroscopic investigations of mining residues drying kinetics to predict and prevent fugitive dust emission, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14594, https://doi.org/10.5194/egusphere-egu26-14594, 2026.

EGU26-16124 | ECS | Posters on site | SSS10.5

A high-frequency time-series prediction model for dissolved oxygen based on multi-source data in estuarine areas 

Zhanqiang Jian, Yongqi Xu, and Huapeng Qin

Accurately predicting the intermittent and highly fluctuating hypoxia at the estuary of a small river, particularly in urbanized areas where the upstream water is notably affected by human activities, presents a significant challenge. The dissolved oxygen concentration (DO) in tidal estuaries is affected by multiple driving factors, and the dynamic changes in the impacts of these factors make it difficult to develop an hourly forecasting model. However, accurate prediction of DO is of utmost importance for water ecological security and aquaculture. To tackle this issue, this study combined an "end - to - end" deep learning model and incorporated an encoder - decoder architecture based on the latest time series decomposition forecasting model, TimeMixer. It realized dynamic feature selection via multi - scale time encoding and set up an attention mechanism at both the time step level and across components to emphasize the dynamic contributions of driving factors. In hourly forecasting, TimeMixer outperformed the enhanced long short - term memory (LSTM) model, and the enhanced Fusion Attention - TimeMixer (FAT) model enhanced the overall prediction by an average of 17% across all indicators. Specifically, the Nash - Sutcliffe Efficiency (NSE) increased by 24.74%, and the Mean Absolute Error (MAE) decreased by 14.83%. The F1 Score for hypoxia prediction went up by 3.24%, and the forecast error for peak values dropped by 12.56%. Additionally, this study explored the impact of adjusting the input and output windows and integrating multi - source monitoring data on the prediction accuracy of the FAT model. Specifically, when predicting DO for the next 48 hours, a 48 - hour historical window input is optimal for the model's prediction performance. If the prediction length is extended, a longer historical data window than the future window should be used as input. During the model improvement process, it was discovered that the introduction of feature - level attention mechanisms is not advantageous for DO forecasting during rainfall periods. Nevertheless, conducting attention calculations at the time - step dimension and realizing dynamic feature selection through multi - scale time encoding can respectively improve the root mean square error (RMSE) and mean absolute error (MAE) by 7.87% and 12.15% for DO forecasting during rainfall periods. Zero - shot prediction experiments were carried out on the improved deep learning models. Although the prediction performance of most models declined, the FAT model still maintained satisfactory performance and achieved acceptable prediction results even with a reduced number of features. It was discovered that when only tide level and meteorological indicators were used as inputs, the NSE of the FAT model's prediction could reach 0.82. Finally, the prediction effectiveness of the FAT model for DO in five typical scenarios at the estuary was tested to provide references for different station establishment schemes, and the results were presented via a web interface to allow users to predict and evaluate the model. Overall, this study validated the feasibility of predicting non - stationary DO sequences at estuaries using multi - source monitoring data, offering crucial methodological support for real - time prediction and systematic management of estuaries.

How to cite: Jian, Z., Xu, Y., and Qin, H.: A high-frequency time-series prediction model for dissolved oxygen based on multi-source data in estuarine areas, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16124, https://doi.org/10.5194/egusphere-egu26-16124, 2026.

Soil moisture is a key regulator of forest health, drought risk, and hydrological extremes, yet its variability in space and time remains poorly understood, particularly in forested and topographically complex terrain. This knowledge gap hinders our ability to anticipate and respond effectively to forest disruptions under climate change. We combine long-term in-situ soil moisture data from a Swiss-wide network of topsoil sensors with high-resolution remote sensing data to identify the principal drivers of fine-scale (5m) seasonal soil moisture patterns in Swiss forests, with a particular focus on quantifying the effects of vegetation structure using radiative transfer modelling. We show that vegetation characteristics are important drivers of local soil moisture dynamics, markedly outweighing the effects of topography. Topsoils under denser canopies are significantly wetter, more likely to be at field capacity and less likely to dry out completely compared to topsoils under sparse canopies. The seasonal consistency of this effect hints at the critical importance of processes outside the growing season, and at the capacity of dense forests to enhance infiltration, as well as minimize evaporation losses. We further show how tree species and their ecological preferences imprint distinct signatures on soil-moisture dynamics and discuss future soil moisture modelling avenues. Our study underscores the importance and feasibility of accounting for local-scale drivers governing forest hydrology. The predictive approach allows for generating high-resolution Swiss-wide (5m) soil moisture maps for past, present and future climatic conditions, which offer practical value for forest management, provide reference data for validating satellite-based soil moisture products in heterogeneous forested terrain, and help us better understand past disturbances and future risks to forest functioning and ecosystem service provisioning.

How to cite: Dietzel, A., Zellweger, F., and Meusburger, K.: High-resolution modelling of seasonal soil moisture patterns in Swiss forests: disentangling the role of vegetation structure using radiative transfer modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18240, https://doi.org/10.5194/egusphere-egu26-18240, 2026.

EGU26-20243 | ECS | Orals | SSS10.5

Assessing mechanical aggregate resilience of forest soils using a laser diffractometer with and without pre-treatment  

Lina Horn, Klaus Klebinder, Bernhard Kohl, Barbara Kitzler, and Kerstin Michel

Soil aggregates influence soil physical functioning, water retention, infiltration, and soil resistance to erosion and is thus important for a wide range of soil ecosystem services. However, the characteristics of soil particle aggregates and their stability in forest soils are not sufficiently understood. In this study, we investigate how soil physical and chemical properties influence mechanical aggregate resistance by combining laser diffraction grain size analyses with an extensive set of physical and chemical parameters.

Particle size analyses (PSA) were conducted using a Malvern (Mastersizer 2000 and Mastersizer 3000E) laser diffractometer on 1862 soil samples from Austrian forest sites in Styria, Upper and Lower Austria, and Burgenland taken in four depth levels (0-10, 10-20, 20-50 and 50-80 cm). Each sample was analysed twice: once without ultrasonic pre-treatment, preserving naturally occurring aggregates, and once after 4 min ultrasonic dispersion (Bandelin Sonorex RK 255, 35 kHz) to achieve complete disaggregation. Differences between the two treatments provide a proxy for aggregate stability. In addition, the same samples were characterised by a comprehensive set of physical and chemical analyses, including density of mineral soil, pH, content of carbonate, organic carbon, and total nitrogen, C/N ratio, plant-available nutrients, exchangeable cations, base saturation, and selected trace elements. These parameters capture potential key physical and chemical controls on aggregation, such as carbonate cementation. 

In a next step, we will analyse differences between dispersed and non-dispersed PSAs statistically and relate them to chemical and physical soil properties in order to identify controls on aggregate resilience. We assume that in particular carbonate cementation and cation exchange capacity affect the mechanical stability of soil aggregates and their response to ultrasonic dispersion. By linking grain size distribution changes to soil chemistry, this study aims to improve the understanding of physical and chemical controls on soil aggregation and to highlight the importance of considering pre-treatment effects when interpreting laser diffraction data. 

 

 

This work was carried out within the FORSITE I, FORSITE II and FORSITE II+ projects, funded by the Federal Ministry of Agriculture and Forestry, Climate and Environmental Protection, Regions and Water Management, Republic of Austria.

How to cite: Horn, L., Klebinder, K., Kohl, B., Kitzler, B., and Michel, K.: Assessing mechanical aggregate resilience of forest soils using a laser diffractometer with and without pre-treatment , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20243, https://doi.org/10.5194/egusphere-egu26-20243, 2026.

Accurate, high-resolution mapping of soil total carbon (TC) stocks on a global scale is fundamental to global carbon cycle modeling, international climate policy (e.g., IPCC inventories), and sustainable land management. Current Digital Soil Mapping (DSM) efforts often rely on monolithic global machine learning models that frequently fail to capture fine-scale local variability and are prone to significant regional biases. These biases stemmed from spatial non-stationarity, disjointed calibration datasets from varied sources, and instrumentation mismatches, leading to poor predictive performance and high uncertainty in under-sampled regions. To address this critical challenge, the Mixture of Localised Experts (MoLE) framework was introduced as a novel deep learning architecture designed for robust and responsible soil property prediction. The MoLE framework overcame the limitations of traditional GLOBAL–LOCAL approaches by employing a dynamic gating network (router) that learned to partition the problem space. This router intelligently directed input data comprising multiple proximal soil sensor features from a multinational dataset to one of several specialised “expert” sub-models. Each “localised expert” was trained to become highly proficient within a specific geographical or data-driven domain, effectively creating a single, cohesive model that “thinks globally but acts locally.” This framework was developed using a large, harmonised proximal sensor dataset (n = 1443) from six countries across five continents to predict TC. When assessed against an independent hold-out validation set, the MoLE framework demonstrated outstanding precision for TC prediction, achieving a coefficient of determination (R²) of 0.98 and a root mean squared error (RMSE) of 0.06%. Crucially, the results indicated that the MoLE architecture substantially reduced regional prediction bias. The interpretable routing mechanism offered fresh perspectives on model decision-making, revealing the experts activated for various ecoregions and boosting the transparency of the model. The MoLE framework offered a scalable, resilient, and comprehensible framework for the advancement of next-generation global soil information systems. By adeptly addressing spatial heterogeneity and reducing regional bias, this methodology represented a substantial advancement in the precise quantification of global TC stocks.

 
 

How to cite: Nayak, A. and Chakraborty, S.: Tackling Spatial Heterogeneity in Global Soil Total Carbon Mapping using a Mixture of Localised Experts, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-291, https://doi.org/10.5194/egusphere-egu26-291, 2026.

EGU26-550 | Orals | SSS10.6

Cross-regional transfer learning to predict acid sulfate soils in Finland using Random Forest 

Virginia Estévez, Stefan Mattbäck, and Anton Boman

Proper use of land for various purposes requires digital soil mapping. Nowadays, the use of machine learning techniques in digital soil mapping has been a major breakthrough. The resulting maps are accurate, objective and easily reproducible.  Furthermore, the process is less expensive than traditional methods. A supervised machine learning technique needs soil samples and environmental covariates for the creation of a map. The lack of soil samples in some regions is a major issue in digital soil mapping. In the case of acid sulfate (AS) soils, the absence of maps can be a high risk for the environment. This is due to AS soils can lead to environmental damage when they are oxidized during the drainage of the land. Therefore, in the unavailability of maps, AS soils may be accidentally drained by external activities related to agriculture, forestry or urban activities. A possible solution for mapping areas with few soil samples is to use soil samples from other regions. In a previous work, we showed that a machine learning model is able to correctly classify soil samples from a region where it had not been trained if the composition of the soils of the region where it has been trained is the same [1]. In this study, we have analyzed whether a machine learning technique is capable of predicting the AS soils of a region when the model has been trained in a region with a very different soil composition. Four different regions located in the coastal areas of Finland have been considered. The machine learning method used is Random Forest, which has shown very high predicted abilities for the classification and prediction of AS soils [2-5]. The results show that the model is able to correctly predict AS soils when the model is trained with soil samples from other regions in most cases. This is a significant advancement in the field because it permits the first recognition of regions with a limited number of soil samples.

[1] V. Estévez et al.  2024. “A First Approximation for Acid Sulfate Soil Mapping in Areas with Few Soil Samples”. Environ. Sci. Proc. 2024, 29, 4. https://doi.org/ 10.3390/ECRS2023-15831

[2] V. Estévez et al. 2022.  “Machine learning techniques for acid sulfate soil mapping in southeastern Finland”. Geoderma 406 (2022) 115446.

[3] V. Estévez et al. 2023. “Improving prediction accuracy for acid sulfate soil mapping by means of variable selection”. Front. Environ. Sci. 11:1213069 (2023).

[4] V. Estévez et al. 2024.  “Acid sulfate soil mapping in western Finland: How to work with imbalanced datasets and machine learning”. Geoderma 447 (2024) 116916.

[5] V. Estévez et al. 2025. “Mapping of acid sulfate soil types in Laihianjoki River catchment:  A multiclass classification” .  European Journal of Soil Science 76, no. 5: e70204.

How to cite: Estévez, V., Mattbäck, S., and Boman, A.: Cross-regional transfer learning to predict acid sulfate soils in Finland using Random Forest, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-550, https://doi.org/10.5194/egusphere-egu26-550, 2026.

EGU26-1458 | Posters on site | SSS10.6

Selecting the best combination of different parameterizations of covariates and sampling algorithms for the spatial prediction of the soil organic carbon contents 

Younes Garosi, Madlene Nussbaum, Abdelaziz Htitiou, Doreen Gabriel, Michael Rode, and Markus Möller

Accurate estimation of soil organic carbon (SOC) content at large scales is very important for sustainable agriculture, climate change mitigation, and land management. This study was performed to consider the effect of using different soil sampling algorithms (SSA) for selecting optimal soil samples from the legacy soil datasets for predicting SOC content in the bare soil areas of the State of Bavaria, Germany. For this purpose, the matrix of soil samples alongside the corresponding values of covariates for each sample point was provided under three different scenarios. In the first scenario, which is the most commonly used scenario in digital soil mapping (DSM) studies, the values of each covariate at each soil sample location were captured from the exact pixel corresponding to the soil sample location (sample pixel). However, in the second and third scenarios, based on a filter-based parameterization, the covariate values at each soil sample location were calculated using 3 × 3 and 5 × 5 pixel windows, respectively. After providing the dataset for each scenario, three SSA including simple random sampling (SRS), conditioned Latin hypercube sampling (cLHS), and feature space coverage sampling (FSCS) were applied for selecting the optimal numbers of soil samples from each scenario to be used as the calibration dataset. In addition, those soil samples that were not selected as the calibration dataset were considered as the validation dataset. In fact, these SSA were applied to create four splitting ratios of calibration and validation (cal/val) datasets including 50–50, 60–40, 70–30, and 80–20. For each scenario, the splitting ratio of cal/val datasets using each SSA was provided 50 times to consider the deterministic ability of SSA to select the same soil samples across multiple repetitions. The random forest (RF) model was trained using the calibration datasets to predict the SOC content in the validation datasets for each scenario. The results of the performance analysis showed that the cLHS method with a splitting ratio of 80–20 from the second scenario outperformed other SSA and scenarios for predicting SOC content. The median of three statistical indices including root mean square error (RMSE (%)), coefficient of determination (R²), and mean error (ME) were 1.13, 0.73, and –0.07, respectively, for this selected SSA and the cal/val datasets from the second scenario. Therefore, the results of this study demonstrated that the type of SSA, the splitting ratio of cal/val datasets, and the parameterization of covariate values for the sample pixel could influence the prediction performance of the machine learning model for predicting SOC content. However, before generalizing these findings, more studies would be required using other SSA and different pixel windows around the sample pixel in different conditions (climate, soil types, and geology, etc.).

How to cite: Garosi, Y., Nussbaum, M., Htitiou, A., Gabriel, D., Rode, M., and Möller, M.: Selecting the best combination of different parameterizations of covariates and sampling algorithms for the spatial prediction of the soil organic carbon contents, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1458, https://doi.org/10.5194/egusphere-egu26-1458, 2026.

EGU26-2767 | Posters on site | SSS10.6

Integrating Proximal and Remote Sensing for Regional Soil Characterization and Mapping in Rural Haiti 

Somsubhra Chakraborty, Anshuman Nayak, David Weindorf, Reginald Cean, and Noura Bakr

Agronomic optimization is essential in developing countries, particularly in regions where soil resources are limited and spatial variability is poorly characterized. This study, the first of its kind in Haiti, applied predictive modeling to link laboratory-derived physical and chemical soil properties with proximal and remotely sensed data collected from 32,949 georeferenced surface soil (0–20 cm) samples across the Arcahaie region. A representative subset of samples (n = 300) was analyzed using multiple machine-learning models, including Random Forest, Gradient Boosting, Stacking Ensemble, and XGBoost, to predict soil pH, texture components (sand, silt, clay), soil organic carbon, soil organic matter, cation exchange capacity, and plant-available P, K, Si, Fe, and Cu from proximal sensing data. Strong predictive performance was achieved for sand, silt, clay, soil organic carbon, soil organic matter, and cation exchange capacity (R² ≥ 0.80), with particularly robust results for soil texture and carbon-related properties, while predictions for other parameters were statistically significant but less accurate. The optimized models were subsequently applied to the full dataset, and spatial interpolation was performed to generate high-resolution maps of soil physical and chemical variability across the region. These outputs provide a decision-support framework for site-specific agronomic management. The methodology demonstrated here is readily transferable to other agriculturally important regions of Haiti and comparable developing-country contexts and could be further extended to three-dimensional modeling and mapping of subsoil properties to better characterize fertility within the root zone.

How to cite: Chakraborty, S., Nayak, A., Weindorf, D., Cean, R., and Bakr, N.: Integrating Proximal and Remote Sensing for Regional Soil Characterization and Mapping in Rural Haiti, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2767, https://doi.org/10.5194/egusphere-egu26-2767, 2026.

EGU26-3261 | ECS | Orals | SSS10.6

Data fusion of Vis-NIR and pXRF with machine learning for predicting andic properties in volcanic soils 

Po-Hui Wu, Budiman Minasny, Yin-Chung Huang, José Alexandre Melo Demattê, and Zeng-Yei Hseu

Volcanic soils are characterized by andic properties such as organic carbon (OC), bulk density (Bd), phosphate retention (Pret), and the sum of ammonium oxalate-extractable aluminum and half iron (Alo + 0.5Feo), and play an important role in agricultural production, global carbon cycling, and ecological functions. However, conventional determination of andic properties relies on destructive, labor-intensive, and time-consuming wet chemistry analyses. Soil spectroscopic techniques such as visible and near-infrared (Vis-NIR) spectroscopy and portable X-ray fluorescence (pXRF) provide rapid and non-destructive alternatives. Previous studies have shown that soil properties can be well predicted by integrating spectroscopic data with machine learning algorithms such as partial least squares regression (PLSR) and Cubist. However, no study has investigated the data fusion of Vis-NIR and pXRF for predicting andic properties. Therefore, this study aimed to elucidate the relationships between andic properties and signals from Vis-NIR and pXRF, and to evaluate the accuracy of sensor-based models for predicting andic properties and soil classification. A total of 93 soil samples were collected from 24 pedons of volcanic soils (0–60 cm depth) in northern Taiwan, including Andisols and Inceptisols. Soil samples were measured by Vis-NIR and pXRF, and predictive models were developed using individual sensors and a data fusion approach calibrated with PLSR and Cubist algorithms. Laboratory analyses were conducted to quantify andic properties as reference values. Both Vis-NIR and pXRF signals demonstrated associations with andic properties. Data fusion of these two sensors markedly improved model performance compared with single-sensor approaches. In particular, the Vis-NIR + pXRF-based model calibrated with Cubist yielded good predictive performance for all andic properties, achieving R2 and LCCC values higher than 0.90 for OC, Pret, and Alo + 0.5Feo, and R2 = 0.83 and LCCC = 0.89 for Bd. Moreover, 23 out of the 24 studied pedons were correctly classified by this model. Integrating Vis-NIR and pXRF through data fusion provides an efficient approach for assessing andic properties, improving management and resource-use efficiency in volcanic soils and supporting sustainable smart agriculture. Further studies incorporating additional spectroscopic sensors may further broaden applicability across diverse soil types.

How to cite: Wu, P.-H., Minasny, B., Huang, Y.-C., Demattê, J. A. M., and Hseu, Z.-Y.: Data fusion of Vis-NIR and pXRF with machine learning for predicting andic properties in volcanic soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3261, https://doi.org/10.5194/egusphere-egu26-3261, 2026.

EGU26-3793 | Posters on site | SSS10.6

Soil Organic Carbon Dynamics in European Forests over the Period 2009–2018 

Zhongxing Chen, Rui Lu, Calogero Schillaci, Zhou Shi, and Songchao Chen

Forest soils represent the largest carbon reservoir in terrestrial ecosystems, yet decadal scale changes in soil organic carbon (SOC) across Europe remain insufficiently quantified. Here, we analyze harmonized topsoil data from 0 to 20 cm in the LUCAS Soil Surveys conducted between 2009 and 2018 to investigate spatial patterns, environmental controls, and national level changes in forest SOC across the European Union and the United Kingdom. Using spatiotemporal machine learning models, we estimate a net SOC increase of approximately 1.31 Pg C over the decade, accompanied by pronounced regional heterogeneity. Climatic factors, particularly the aridity index, mean annual temperature, and available water capacity, emerged as the dominant drivers of SOC distribution, while forest structure, topography, and land cover change provided additional contributions. France, Sweden, and Germany accounted for the largest shares of total SOC gains and associated CO₂ equivalent reductions. These results highlight forest soils as dynamic and spatially heterogeneous carbon sinks and underscore their importance for national carbon accounting and climate mitigation strategies.

How to cite: Chen, Z., Lu, R., Schillaci, C., Shi, Z., and Chen, S.: Soil Organic Carbon Dynamics in European Forests over the Period 2009–2018, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3793, https://doi.org/10.5194/egusphere-egu26-3793, 2026.

EGU26-4575 | Posters on site | SSS10.6

Multi-temporal Bare-Soil Mapping in Agricultural Landscapes Using HLS Imagery and MaxEnt Modelling 

Chien-Hui Syu, Miguel Conrado Valdez, Chi-Farn Chen, Jui-Han Yang, Chun-Chien Yen, and Yu-Hsin Chang

Bare-soil mapping is essential for agricultural monitoring, land-surface characterization, and environmental modelling, supporting applications such as soil organic carbon (SOC) estimation, evapotranspiration retrieval, erosion assessment, and land degradation monitoring. However, accurate detection of exposed soil remains challenging due to spectral confusion with sparse vegetation and crop residues, strong seasonal variability, and the heterogeneous structure of agricultural landscapes. The Harmonized Landsat–Sentinel (HLS) dataset, providing 30 m spatial resolution and a 5-day revisit cycle, offers new opportunities for multi-temporal bare-soil mapping. This study develops an automated workflow combining spectral indices and a machine-learning algorithm (Maximum Entropy, MaxEnt) to map bare soil across agricultural regions using HLS surface reflectance imagery. Multiple indices capturing vegetation–soil contrasts were employed, including NDVI, BSI, NDMI, SAVI/GSAVI, NBR, EVI, and DBSI. High-confidence bare-soil pixels were first identified using a rule-based approach with strict thresholds (e.g., NDVI < 0.2 and BSI > 0.4–0.7), which minimized commission errors and generated reliable presence samples for model calibration. To improve generalization across different day-of-year (DOY) mosaics, these samples were integrated into a presence-background modelling framework using the MaxEnt algorithm (maxnet). Background samples were constrained to non-bare conditions (e.g., NDVI ≥ 0.3). Model performance was evaluated using AUC, Kappa, sensitivity, and specificity, while permutation importance and jackknife analyses quantified predictor contributions. The model achieved an AUC of 0.9 and a Kappa value of 0.7, indicating strong discriminative ability and substantial agreement. NDVI and BSI were identified as the most influential predictors. The resulting products include DOY-specific bare-soil probability maps, binary masks, and aggregated bare-soil frequency maps, providing a robust and scalable framework for long-term agricultural and soil-related applications.

How to cite: Syu, C.-H., Valdez, M. C., Chen, C.-F., Yang, J.-H., Yen, C.-C., and Chang, Y.-H.: Multi-temporal Bare-Soil Mapping in Agricultural Landscapes Using HLS Imagery and MaxEnt Modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4575, https://doi.org/10.5194/egusphere-egu26-4575, 2026.

EGU26-4730 | Orals | SSS10.6

Spatiotemporal divergence of soil acidification in China’s cropland 

xi wang, songchao chen, zhou shi, and sibo duan

Soil acidification in China's croplands, driven by intensive agriculture, threatens both agricultural sustainability and ecological security. However, its large-scale spatiotemporal dynamics and underlying drivers remain poorly understood. We developed a meta model coupling of process model and machine-learning, integrating national soil survey information from the Chinese Soil Series Records and the VSD+ model to simulate and map soil pH trajectories from 1980 to 2100. We found a pronounced national acidification trend from 1980 to 2020, with average cropland soil pH declining by 0.37 units (from 7.05 to 6.68). This trend varied regionally, with the most severe acidification in Northeast China (ΔpH = -0.67) and the slowest decline on the Qinghai-Tibet Plateau (ΔpH = -0.11). Projections show that even under a nitrogen fertilizer zero-growth scenario, soil pH will continue to decrease to 6.49 by 2100. Our model reveals that fertilizer management exerts a stronger influence on acidification than climate change, as evidenced by minor differences among climate scenarios. Mechanistically, nitrogen transformation was the dominant acidifying process in upland systems, while both HCO3 leaching and nitrogen transformation were primary drivers in paddy systems. This study provides a quantitative basis for sustainable nutrient management and offers valuable insights for mitigating soil acidification in global agricultural systems.

How to cite: wang, X., chen, S., shi, Z., and duan, S.: Spatiotemporal divergence of soil acidification in China’s cropland, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4730, https://doi.org/10.5194/egusphere-egu26-4730, 2026.

EGU26-5070 | ECS | Posters on site | SSS10.6

Developing portable VNIR spectroscopy for soil organic carbon quantification 

Charlotte Risbey, Craig Smeaton, and William McCarthy

Soil systems provision many essential ecosystem services including food resources, water filtration and climate regulation. The accumulation and storage of soil organic carbon (SOC) is central to soil health and delivers a climate mitigation service of global significance. However, widespread monitoring of SOC is constrained by the costs, expertise and labour demands associated with traditional quantification methodologies, such as wet oxidation and dry combustion techniques. Diffuse reflectance spectroscopy (DRS) within the visible-near infrared (VNIR) range (400-1100 nm) offers a rapid and low cost means of SOC quantification. Specifically, recent developments to portable/ handheld VNIR spectrophotometer instruments are successfully facilitating cost-effective and accurate in-situ measurements, expanding global access to SOC quantification tools.

This research investigates the use of portable VNIR spectrophotometers for predicting SOC content in soils across parkland and links-style golf courses. Our aim is to develop novel machine learning-based pedometric SOC prediction models based on VNIR spectra and SOC reference values, and to integrate models into an open access software for non-specialists to easily quantify SOC at their own golf courses. To determine the optimal spectrum acquisition strategy, spectrophotometer scans were conducted in-situ using sub-sections of fresh soils cores (to 15cm depth) and ex-situ using processed samples. Processed samples underwent drying and milling to increase homogenisation and reduce the impacts of spectrum disturbing factors, such as water content and surface roughness. Furthermore, in-situ scans of surface vegetation were conducted to understand the link between the VNIR spectra of vegetation and SOC content. Following preliminary investigations, we will compare the accuracy of SOC quantification by three VNIR spectrophotometers, which vary in wavelength range and cost. Overall, this research aims to support greenskeepers to monitor SOC sequestration and storage, and in-turn soil health and quality, across courses. In doing so, this research will empower greenskeepers to use evidence-based soil management practices. Additionally, understanding the carbon sequestration and storage abilities of golf course soil systems will ameliorate the accuracy and transparency of the golfing industry’s net climate impact.  

Our findings will contribute to the development of in-situ VNIR spectroscopy as a scalable, cost-effective and environmentally friendly analytical tool for SOC quantification by expanding its applications to turfgrass systems. Overall, this research will advance machine learning-based pedometric approaches, their application in practical land management and the global accessibility of SOC quantification tools.

How to cite: Risbey, C., Smeaton, C., and McCarthy, W.: Developing portable VNIR spectroscopy for soil organic carbon quantification, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5070, https://doi.org/10.5194/egusphere-egu26-5070, 2026.

EGU26-5576 | Posters on site | SSS10.6

Spatio-Temporal Variability Mapping for Variable-Rate Nitrogen Fertilization 

Nazerke Amangeldy, Yasmina Chourak, Eduardo A. Garcia-Braga, Hongzhen Luo, Gerard Portal, Isi Bardají, Mercè Vall-llossera, Rosa Vilaplana Ventura, Antonios Morellos, Manuel Vázquez-Arellano, Erik Meers, and Abdul M. Mouazen

Variable-rate nitrogen (N) fertilization has the potential to improve nitrogen-use efficiency and reduce losses in rainfed cereal systems, yet practical frameworks linking ground-based management zones with satellite time series remain limited. Here, we assess variable-rate N fertilization in a commercial winter barley field in Catalonia using Sentinel-2 optical and Sentinel-1 C-band SAR observations. Two variable-rate strategies were evaluated against the farmer’s uniform-rate (UR) practice. Spatio-temporal clustering of Sentinel-1 and Sentinel-2 time series was used to evaluate satellite sensitivity to within-field heterogeneity identified by proximal soil sensing, complemented by point-level time-series analysis to track site-specific crop development. For two seasons of winter barley, spatio-temporal clusterings revealed that GNDVI and NDWI produced the most heterogeneous spatial clustering, indicating potential sensitivity to spatio-temporal variability throughout the crop growth stages. 

This work promotes to implementation of freely available optical and radar satellite data for within-field farming practices integrated with ground based proximal sensing to support operational, site-specific nitrogen management in Mediterranean cereal systems.

How to cite: Amangeldy, N., Chourak, Y., A. Garcia-Braga, E., Luo, H., Portal, G., Bardají, I., Vall-llossera, M., Vilaplana Ventura, R., Morellos, A., Vázquez-Arellano, M., Meers, E., and M. Mouazen, A.: Spatio-Temporal Variability Mapping for Variable-Rate Nitrogen Fertilization, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5576, https://doi.org/10.5194/egusphere-egu26-5576, 2026.

EGU26-6486 | Posters on site | SSS10.6

Comparative examination of methods for the prediction of subsoil texture composition. 

Konstantinos Soulis, Evangelos Nikitakis, Stelios Gerontidis, Alexandros Stavropoulos, and Dionissios Kalivas

While topsoil layers (0–30 cm) are routinely sampled in most soil surveys, subsoil data (30–60 cm) are collected less consistently, and deeper soil layers (>60 cm) are only rarely investigated, typically in detailed or site-specific studies. This is to be expected, as deeper sampling increases costs and soil surveys are typically performed to inform short-term agronomic decisions, where the specific characteristics of the soil below the plough layer are largely irrelevant. Consequently, large-scale soil databases exhibit a pronounced vertical data gap, with dense information available for topsoil layers but sparse or missing measurements at depth. This depth bias introduces significant limitations for applications that depend on the full soil profile, such as hydrological modeling, groundwater recharge estimation, and nutrient leaching assessments, where subsoil and deeper soil properties play a critical role. To combat this limitation, we are examining Machine Learning and geostatistical frameworks of predicting subsoil textural composition on the heterogeneous landscape of Greece. More specifically, (i) the prediction based on raw compositional data versus isometric log-ratio (ilr)–transformed coordinates, (ii) the integration of spatial information within machine-learning frameworks, (iii) univariate per-component regression versus multivariate regression approaches, and (iv) the inclusion and exclusion of predictor variables are being examined. Additionally, all machine-learning models are benchmarked against equivalent ordinary least squares (OLS) regressions, which serve as baseline models. This comparison enables the assessment of potential relationships between the performance of simple, interpretable regression models and that of more complex, traditionally less-interpretable machine-learning approaches. Preliminary results are encouraging, with R² values of 0.77, 0.75, and 0.61 for the prediction of subsoil clay, sand, and silt contents, respectively, on the most robust univariate raw compositional spatially aware Random Forest model. Previous studies suggest that predictive performance may be further improved through compositional data pre-processing using isometric log-ratio (ilr) transformation and multivariate Random Forest modeling.

How to cite: Soulis, K., Nikitakis, E., Gerontidis, S., Stavropoulos, A., and Kalivas, D.: Comparative examination of methods for the prediction of subsoil texture composition., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6486, https://doi.org/10.5194/egusphere-egu26-6486, 2026.

EGU26-6831 | ECS | Orals | SSS10.6

A Global Soil Dataset for Earth System Modeling (Version 2, GSDEv2) 

Wei Shangguan, Gaosong Shi, and Yongjiu Dai

Accurate and spatially explicit soil information is a fundamental prerequisite for Earth system modelling, land surface simulations, and global environmental assessments. Although existing global soil datasets, such as GSDEv1 (The first version of this study, DOI:10.1002/2013ms000293), HWSD 2.0 and SoilGrids 2.0, have substantially advanced large-scale soil representation, they still exhibit limitations in spatial resolution, vertical consistency, and physical realism. Here we present GSDEv2, a next-generation global soil physical and chemical property dataset developed to meet the increasing demand for high-resolution Earth system modelling. GSDEv2 provides seamless global predictions at 90 m spatial resolution for nearly 30 static soil properties, including soil organic carbon, texture fractions, bulk density, porosity, and related variables, across six standard depth intervals (0–200 cm). The dataset is built upon an unprecedented compilation of approximately 23 million soil profiles, primarily sourced from the World Soil Information Service (WoSIS) and complemented by high-quality regional and national datasets. All profiles were subjected to rigorous, pedologically informed quality control procedures to remove implausible or inconsistent observations that can bias machine-learning predictions. To better capture pedological heterogeneity, soil profiles and environmental covariates were stratified into desert, non-desert mineral, and organic soil domains. Separate Random Forest models were trained for each domain using a comprehensive set of covariates representing climate, topography, vegetation, and parent material, including AlphaEarth Foundations data. Model predictions were validated using both internal cross-validation and independent reference datasets, demonstrating clear improvements in spatial detail and physical realism compared with GSDEv1, SoilGrids 2.0, and HWSD-based products. In addition, GSDEv2 adopts a data fusion framework, allowing high-quality regional soil maps to be integrated into the global predictions while preserving global consistency. GSDEv2 represents a substantial step forward in global digital soil mapping, providing a physically consistent, high-resolution soil dataset that is better suited for hydrological, biogeochemical, and land–atmosphere modelling applications. The dataset is intended to support the GlobalSoilMap initiative and next-generation Earth system simulations.

How to cite: Shangguan, W., Shi, G., and Dai, Y.: A Global Soil Dataset for Earth System Modeling (Version 2, GSDEv2), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6831, https://doi.org/10.5194/egusphere-egu26-6831, 2026.

Spatial predictive mapping is widely used in geoscience to generate spatially explicit maps from limited field observations and holds particular significance for soil mapping. In this approach, point-based observations are linked to spatially continuous predictor variables, and (due to expected nonlinearity) machine learning algorithms are often employed to learn their relationships and produce spatial predictions. A key challenge, however, is assessing the quality and reliability of the resulting maps.

While there is consensus that map accuracy is ideally assessed using an independent probability sample from the prediction area, such data are often unavailable. Consequently, practitioners commonly rely on splitting the available observations into training and testing sets or on repeated data partitioning via cross-validation. The resulting performance statistics are used to obtain a proxy for the final map accuracy, where cross-validation additionally supports model tuning and selection. In recent years, a considerable debate has emerged regarding how data should be partitioned into training and test sets during cross-validation. Studies have shown that estimated performance metrics can differ substantially depending on the chosen data-splitting strategy, for example, whether observations are split randomly or according to spatial structures, such as in spatial cross-validation approaches that partition data by spatial units (e.g., spatial block cross-validation or leave-region-out schemes). While some researchers argue that random cross-validation is inappropriate because it yields overly optimistic performance estimates, others contend that spatial cross-validation can be overly pessimistic and therefore advocate for random validation instead.

We argue that both spatial and random validation approaches can provide appropriate proxies for map accuracy, but their suitability depends on how well they align with the specific prediction context. Many spatial prediction tasks involve a combination of interpolation and extrapolation in geographic space, feature space, or both, and the chosen cross-validation strategy should explicitly account for this. To address this, we propose a new category of cross-validation methods, termed prediction-domain adaptive validation. Methods in this category flexibly adapt data partitioning to reflect the underlying prediction task, ensuring that validation data resemble the intended prediction scenario. To illustrate the potential of these new methods, we reproduce a simulation study, compare different validation methods, and discuss their purpose.

We show that random cross-validation methods are suitable when training samples are randomly distributed across the prediction area, whereas spatial cross-validation is better suited for extrapolation-dominated scenarios. In practice, however, most applications fall between these two extremes. In such cases, prediction-domain adaptive cross-validation can provide more reliable estimates of map accuracy, as it explicitly adapts to the underlying prediction situation. We believe that the proposed prediction-domain adaptive validation approach helps consolidate the ongoing discussion on various strategies by providing a balanced approach that yields more suitable estimates of map accuracy during cross-validation. This, in turn, supports model tuning and enhances the quality of the resulting maps, such as those generated during digital soil mapping.

How to cite: Meyer, H., Linnenbrink, J., and Nowosad, J.: A call for prediction-domain adaptive validation for assessing the performance of spatial prediction models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6965, https://doi.org/10.5194/egusphere-egu26-6965, 2026.

EGU26-9102 | ECS | Orals | SSS10.6

Quantifying the uncertainty of remote sensing-based soil carbon monitoring 

Tom Broeg, Stefan Erasmi, and Axel Don

Agricultural soils are increasingly under pressure due to land use intensification and the ongoing effects of climate change. Current EU policies, such as the "Carbon Removals and Carbon Farming Regulation" (CRCF), aim to improve the resilience of cropland soils by carbon sequestration through climate-smart management. However, such regulations significantly increase the demand for spatiotemporal soil data to monitor and verify the effectiveness of carbon farming measures.

In recent years, the analysis of remote sensing-based bare soil observations has been increasingly used to generate accurate, high-resolution maps of cropland properties, such as soil organic carbon (SOC). However, due to the lack of robust reference data and the slow-changing nature of SOC, validating temporal model performance remains challenging. In this study, we tested the extent to which spatiotemporal models based on satellite data can support wall-to-wall soil monitoring and provide information on the temporal variability of SOC in cropland soils.

To achieve this, bare soil composites were derived from Landsat and Sentinel-2 data using a moving window approach and compared to Bavarian long-term soil monitoring data from 1986 to 2022. The results showed that while overall model performance was high, the validation of measured SOC trends yielded significantly lower accuracy, underlining the high uncertainty in predicting temporal soil carbon dynamics. While long-term analyses of 25+ years were necessary to detect significant SOC changes in most cases, the classification of the results revealed a low confusion rate between sites with increasing or decreasing SOC trends across the observation period.

These findings are supported by recent results based on the repetition of the German agricultural soil inventory, currently being conducted at the Thünen Institute of Climate-Smart Agriculture. Although significant uncertainties remain in quantifying SOC dynamics within 10-year intervals, results can be improved by taking the plot-scale SOC variability into account. This preprocessing step not only improves the significance of spatiotemporal SOC models ("model-then-derive") but also allows for the direct prediction of SOC changes based on a "derive-then-model" approach.

In summary, these results provide a first step toward an integrated soil monitoring system based on remote sensing and repeated soil sampling. While the findings demonstrate that it is possible to validate spatiotemporal SOC models using long-term sampling data, they also highlight the necessity of further improving the accuracy and applicability of the models. Based on our studies, we will further discuss the opportunities and challenges to independently validate SOC trends claimed by carbon farming schemes using remote sensing data.

How to cite: Broeg, T., Erasmi, S., and Don, A.: Quantifying the uncertainty of remote sensing-based soil carbon monitoring, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9102, https://doi.org/10.5194/egusphere-egu26-9102, 2026.

EGU26-9103 | ECS | Posters on site | SSS10.6

Digital mapping of soil organic matter under conservation tillage in Northeast China based on multi-source remote sensing 

Hongjun Liu, Jianwei Li, Shiwen Liu, Wei Wan, and Zhong Liu

ABSTRACT

The Northeast China black soil region is one of the country’s most important grain-producing areas. However, long-term conventional tillage characterized by deep plowing and intensive soil disturbance has caused severe soil erosion and continuous declines in surface soil organic matter (SOM). In response, conservation tillage has been widely promoted, with pre-sowing crop residue cover (CRC) regarded as a key indicator of its effectiveness. Nevertheless, residue cover substantially weakens soil signals in optical remote sensing, reducing sensitivity to SOM and making accurate SOM mapping under high-coverage conditions particularly challenging. Consequently, achieving robust SOM inversion across CRC conditions has become a critical bottleneck for long-term soil quality monitoring.

To address this challenge, this study identifies the pre-sowing period as the optimal temporal window for SOM remote sensing inversion and develops a SOM estimation framework integrating Sentinel-2 optical imagery, Sentinel-1 SAR data, and multi-source environmental covariates. A total of 585 surface soil samples (0–10 cm) and 117 UAV observations were collected from representative black soil areas in Northeast China. Continuous CRC maps were first generated and used as prior information to partition the study area into bare-soil and residue-covered zones, for which independent random forest regression models were constructed. In bare-soil areas, surface SOM was directly estimated using spectral indices and environmental variables. In residue-covered areas, spectral unmixing was applied to separate soil and residue components, which were combined with SAR penetration features to supplement surface soil dielectric information. In addition, long-term CRC indicators represented by multi-year cumulative values were incorporated to characterize cumulative residue return effects on surface SOM accumulation.

The results demonstrate that the proposed framework significantly improves SOM estimation accuracy in residue-covered areas. Compared with a CRC-agnostic baseline model, R² increased from 0.72 to 0.86 and RMSE decreased from 0.58 to 0.42, corresponding to an approximate 27.6 % reduction in estimation error. High-resolution SOM maps for 2016—2025 reveal a stable northeast-high to southwest-low spatial gradient across the black soil region. High SOM contents (>25 g·kg⁻¹) occur in the Sanjiang Plain and in regions extending from the Lesser Khingan Mountains to the Changbai Mountains, where humus-rich dark brown forest soils predominate. Moderate SOM levels (12–25 g·kg⁻¹) dominate the Songnen and Liaohe Plains, while low SOM contents (0–12 g·kg⁻¹) persist in the southern and western Songnen Plain and aeolian sandy regions of eastern Inner Mongolia. Spatial statistical analysis further indicates that SOM accumulation rates in high-CRC areas are approximately 20 % higher than those in low-coverage regions.

Overall, the proposed multi-source remote sensing framework integrates spectral unmixing, SAR penetration information, and conservation tillage-related features to achieve accurate SOM estimation under CRC conditions. This framework provides a transferable and operational approach for soil quality monitoring under conservation tillage, supporting soil improvement assessment, policy evaluation, and sustainable agricultural management in the Northeast China black soil region.

Keywords: Soil Organic Matter; Conservation Tillage; Multi-source Remote Sensing; Machine Learning; Black Soil Region

How to cite: Liu, H., Li, J., Liu, S., Wan, W., and Liu, Z.: Digital mapping of soil organic matter under conservation tillage in Northeast China based on multi-source remote sensing, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9103, https://doi.org/10.5194/egusphere-egu26-9103, 2026.

EGU26-10160 | Posters on site | SSS10.6

Improving soil organic carbon estimation and uncertainty assessment using multi-temporal optical and SAR data  

Talha Mahmood, Christopher Conrad, Jan Lukas Wenzel, and Julia Pöhlitz

Accurate estimation of soil organic carbon (SOC) is crucial for soil health, agricultural productivity, and climate change mitigation. Digital SOC mapping often lacks multi-sensor integration, improved bare soil compositing, and robust uncertainty assessment. We used 6-year multi-temporal Synthetic Aperture Radar (SAR) from Sentinel-1 and optical data from Sentinel-2. This study also utilized confidence interval (CI)–based bare soil compositing for SOC prediction in an agricultural landscape in northeast Germany to enhance SOC estimation.

Four Random Forest models were developed to isolate and compare the independent and combined contributions of optical and SAR data. Local soil samples collected between 2013 and 2022 were divided into training and testing datasets. Independent validation was conducted using samples collected in 2024. Pixel-wise uncertainty was quantified through 100 repeated model runs with different training and testing splits, resulting in a spatially explicit SOC uncertainty map.

Combining SAR and optical data improved in model calibration, while CI-based compositing further enhanced prediction accuracy. Using important features, the model achieved a coefficient of determination (R²) of 0.79 and a ratio of performance to deviation (RPD) of 2.23 in independent validation. The models incorporating SAR data showed higher uncertainty due to its sensitivity to soil conditions; however, standalone SAR data still yielded acceptable SOC mapping performance (R² = 0.57, RPD = 1.54).  These results show that combining multi-temporal optical and SAR data with explicit uncertainty assessment enhances the robustness and reliability of SOC mapping across agricultural landscapes.

How to cite: Mahmood, T., Conrad, C., Wenzel, J. L., and Pöhlitz, J.: Improving soil organic carbon estimation and uncertainty assessment using multi-temporal optical and SAR data , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10160, https://doi.org/10.5194/egusphere-egu26-10160, 2026.

EGU26-10455 | ECS | Orals | SSS10.6

Evaluating digital soil mapping products for modelling road-related soil erosion in Baringo County, Kenya 

Nicodemus Nyamari, Christina Stollenwerk, Lukas Kienzler, Marijn van der Meij, Dennis Ochuodho Otieno, and Christina Bogner

Roads in Sub-Saharan Africa provide essential transportation functions; however, they often cause adverse environmental impacts, such as enhanced erosion, that are frequently underestimated or overlooked during planning and implementation. Global digital soil mapping (DSM) products such as OpenLandMap and SoilGrids provide open-source soil information for large-scale ecosystem service assessment and monitoring. However, the accuracy of these modelled datasets varies spatially because the input data used for model development are unevenly distributed. Thus, their reliability and implications for erosion modelling in data-scarce semi-arid regions remain insufficiently understood.

In this study, we investigated the spatial variability of soil properties (soil texture fractions, soil organic carbon, bulk density, and pH) in Baringo County, Kenya and examined whether paved and unpaved roads influence this variability. We evaluated the accuracy of SoilGrids250m 2.0 and OpenLandMap (30 m) in representing field-measured soil properties and assessed how DSM-related uncertainties propagate into erosion estimates. Using pedotransfer functions based on soil texture fractions and soil organic carbon, we derived soil erodibility factors from both field data and OpenLandMap. The factors were subsequently used in the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) Sediment Delivery Ratio model to estimate spatial patterns of soil loss.

Both DSM products underestimated topsoil silt content (RMSE = 35.6% and 36.1% for OpenLandMap and SoilGrids, respectively) and overestimated clay (RMSE = 17.8% and 22.3%) and sand contents (21.4% and 17.9%, respectively), with accuracy decreasing with depth. Field data revealed significantly lower silt content and higher sand content in topsoils near roads compared to further away with a moderate effect size. Sediment deposition and export computed using the parametrized OpenLandMap factor showed high correlation with results parametrized from field data across varying distances for both paved roads and unpaved roads (R2 > 0.87). Despite high correlations, modelling results parametrized with OpenLandMap underestimated sediment deposition and export by factors of approximately 2.2 and 2.7 for paved and unpaved roads, respectively. Unpaved roads showed greater sediment export near the road corridor compared to paved roads, while paved roads were associated with greater sediment deposition.

Our results demonstrate that while global DSM products can reproduce relative spatial patterns of road-related erosion, systematic biases in soil property predictions an affect erosion estimate. This highlights the need to explicitly consider DSM uncertainty when using open soil data for erosion modelling and infrastructure, especially in data-scarce regions.

How to cite: Nyamari, N., Stollenwerk, C., Kienzler, L., van der Meij, M., Ochuodho Otieno, D., and Bogner, C.: Evaluating digital soil mapping products for modelling road-related soil erosion in Baringo County, Kenya, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10455, https://doi.org/10.5194/egusphere-egu26-10455, 2026.

EGU26-11524 | ECS | Posters on site | SSS10.6

LiDAR-based high resolution soil mapping in a Hungarian lowland area 

Katalin Takács, Mátyás Árvai, Gábor Szatmári, and László Pásztor

High resolution (HR) soil information is critical for a broad range of applications, including agriculture and sustainable land practice, environmental modelling, nature conservation and resource management. Its importance is particularly pronounced at local scales and in low-relief landscapes where subtle topographic variations can strongly influence soil properties.

Our aim was to evaluate the contribution of LiDAR-derived topographic information to HR soil property mapping and to assess its added value compared to conventional digital elevation models (DEMs) on a low-relief, alluvial plain in Hungary. Soil pH was modelled using a hybrid, machine learning and geostatistical approach that integrates LiDAR-derived DEM and its derivatives, Sentinel-2 imagery, geological map and land cover information, achieving acceptable predictive performance (RMSE = 0.55, ME = 0.01). The results indicate that the LiDAR-derived topographic covariates were the most important predictors. Comparisons with existing large-scale soil pH maps revealed very weak spatial agreement in both spatial patterns and value distributions, which can be largely attributed to the limited capability of conventional DEMs to represent microtopography and subtle elevation changes in low-relief areas, particularly under forest cover.

These findings demonstrate the substantial added value of LiDAR-derived data for HR soil mapping. When used as environmental covariates, LiDAR-DEM and its derivatives, effectively represent topographic features and capture soil moisture and drainage effects that influence soil formation even in low-relief areas, regardless of vegetation cover. Since topographic parameters are decisive factors in soil property modelling, the quality of the applied DEM directly determines the quality of the resulting soil maps.

How to cite: Takács, K., Árvai, M., Szatmári, G., and Pásztor, L.: LiDAR-based high resolution soil mapping in a Hungarian lowland area, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11524, https://doi.org/10.5194/egusphere-egu26-11524, 2026.

EGU26-12098 | Posters on site | SSS10.6

Pedotransfer functions for bias-correcting bulk density observations in the Hungarian Soil Information and Monitoring System 

Gábor Szatmári, Seyedehmehrmanzar Sohrab, Brigitta Szabó, András Makó, and László Pásztor

Bulk density (BD) is a key soil property due to its strong influence on the physical, chemical, and biological properties of soil, serving as an important indicator of soil health, compaction, and physical quality. An earlier study revealed that BD observations in the Hungarian Soil Information and Monitoring System (SIMS) might have been biased and therefore require correction. SIMS is a nationwide soil monitoring system that collects information on the temporal variability of Hungarian soils across Hungary at 1236 soil profiles. Accordingly, the objective of this research was to bias-correct BD measurements in SIMS using advanced pedotransfer functions (PTFs).

Various PTFs, including multiple linear regression, generalized additive model, cubist, random forest, and artificial neural networks, were developed based on the Hungarian Detailed Soil Hydrophysical Database and an extensive set of environmental covariates (e.g., long-term climatic data, topography and its derivatives), which serve as proxies for soil-forming factors. The developed PTFs were evaluated and compared using five times repeated 10-fold cross-validation, revealing that the random forest-based (RF) PTF outperformed other techniques, with RMSE and model efficiency coefficient values of 0.099 g cm3 and 0.539, respectively. Consequently, the RF-based PTF was used to correct BD measurements in SIMS and to provide quantitative information on the uncertainty associated with the corrected BD values. The latter is essential to support end users in the proper interpretation and application of the corrected BD values. Subsequently, a dataset was compiled containing information on the SIMS profile and layer identifiers, the upper and lower depth boundaries of each soil genetic horizon, the corrected BD values, and their associated uncertainties. The dataset is publicly available on Zenodo (https://doi.org/10.5281/zenodo.16926945).

The aim of our presentation is to introduce the applied methodology, the RF-based PTF developed for bias correction of BD measurements in SIMS, and, most importantly, the resulting BD dataset compiled within the framework of this study.

Reference:

Sohrab S., Szabó B., Pásztor L., Makó A., Szatmári G., 2025: Adjusting bulk density observations in the Hungarian Soil Information and Monitoring System using pedotransfer functions. European Journal of Soil Science 76(6): e70245.

How to cite: Szatmári, G., Sohrab, S., Szabó, B., Makó, A., and Pásztor, L.: Pedotransfer functions for bias-correcting bulk density observations in the Hungarian Soil Information and Monitoring System, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12098, https://doi.org/10.5194/egusphere-egu26-12098, 2026.

EGU26-12463 | Posters on site | SSS10.6

Some thoughts on the opportunities to expand the potential and improve the performance of digital soil mapping in Hungary 

László Pásztor, Gábor Szatmári, Annamária Laborczi, Katalin Takács, János Mészáros, Mátyás Árvai, Tünde Takáts, Mihály Kocsis, András Benő, and Nándor Csikós

A wide range of disciplines and many national and international initiatives require spatially, and increasingly, spatiotemporally explicit information on soil properties, functions, processes and services at various scales. These emerging demands are mostly due to the recognition of the multifunctionality of soils. During the past decades a general demand for quantitative digital soil information for environmental modelling and management has compelled soil scientist to address many soil-related questions from a quantitative point of view. Digital soil mapping (DSM) together with pedometrics and proximal soil sensing will keep on playing crucial role in the forecasted near future referred as digital pedology as the upcoming era of the fundamental understanding of soil in space and time.

Hungarian soil spatial data infrastructure has recently been renewed within the DOSoReMI.hu initiative. Primary soil property maps compiled according to GlobalSoilMap.net specifications provide an operational and widely accepted source of information on soil at national level. Nevertheless, more recently new challenges have arisen from temporal, thematic and spatial point of view: higher resolution, up-to-date DSM products are expected, which describe soil features (properties, functions, processes) in more details, from various aspects. Our overall aim is to address these challenges by (i) developing approaches that extend and/or rethink the three pillars of DSM, (ii) linking DSM products of different scales and (iii) bridging potential gaps between them.

Based on the above background, it is both rational and socially beneficial to identify opportunities to expand the potential and improve the performance of DSM in the support of the multifaceted concept of soil security. Our objectives are twofold: (i) to continue developing and modernizing the national spatial soil data infrastructure capable of meeting the emerging needs for soil information for various purposes and at different scales, (ii) by addressing (at least some of) the ‘pedometrics ten challenges’, methodological issues that are currently at the forefront of soil research.

During our forecasted activity we are going to focus on some highlighted topics keeping the possibility to extend them by identifying new challenges and solutions:

  • Introduction of spatially dense observations together with proper pedotransfer function development into DSM to increase thematic versatility and spatial resolution.
  • Application of ancillary data originating from high-resolution (both spatial and spectral) imagery and geophysical sensors to support e.g. pedometric zoning of agricultural plots and increase prediction accuracy on flat areas.
  • Introducing spatially distributed, physics-based models into digital mapping of specific soil functions and processes through pedological interpretation of spatiotemporal model outputs.
  • Testing the impact of iterative mapping and ensemble modelling on prediction performance based on detailed and refined accuracy assessment.

According to our experiences, working on approaches to solve certain mapping challenges may easily conclude to newer methodological questions and/or ideas. With the present paper and the topics listed above, our aim is to stimulate DSM stakeholders (both users and producers) to identify and/or formulate new challenges and solutions, which might be worth for overthinking and/or solving within the spatial branch of the upcoming era of digital pedology.

How to cite: Pásztor, L., Szatmári, G., Laborczi, A., Takács, K., Mészáros, J., Árvai, M., Takáts, T., Kocsis, M., Benő, A., and Csikós, N.: Some thoughts on the opportunities to expand the potential and improve the performance of digital soil mapping in Hungary, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12463, https://doi.org/10.5194/egusphere-egu26-12463, 2026.

EGU26-12559 | ECS | Orals | SSS10.6

Planet Tanager Hyperspectral Data to Retrieve Soil Properties of Heterogeneous Agricultural Landscapes  

Maddie Grady, Haris Ampas, Pierre Guillevic, Konstantinos Karyotis, Keely Roth, and Annett Wania

Accurate characterization of soil properties is fundamental for quantifying terrestrial carbon stocks, land–atmosphere interactions, and assessing agroecosystem functioning and ecosystem services. Launched in August 2024, Tanager-1 is the first satellite in Planet’s hyperspectral constellation, delivering over 400+ contiguous spectral bands across the 400–2,500 nm range at a spatial resolution of 30 m. Such data is vital for monitoring vegetation and soil health. However, retrieving soil properties from satellite data in diverse agricultural landscapes remains challenging in heterogeneous croplands where soil, vegetation, and moisture vary strongly within and between fields. This is a particular issue in perennial cropping systems, such as vineyards. This research, conducted as part of the Horizon Europe AI4SoilHealth project, explores the potential of Tanager data to derive key soil properties, such as soil organic carbon (SOC) and soil texture, while addressing the confounding effects of different scenes' radiometric signatures.

The methodology leverages  the European Soil Data Center's (ESDAC) Land Use/Cover Area Frame Statistical Survey (LUCAS), which includes around 20,000 soil samples, as a foundation for retrieving soil properties from Tanager surface reflectance, using machine learning approaches such as partial least squares regression (PLSR).  The study investigates strategies for  decoupling the soil and vegetation components. For example, drawing on the PROSAIL radiative transfer model to explicitly simulate and account for the vegetation contribution in the training dataset and using an autoencoder-based spectral unmixing model to mitigate vegetation effects. and estimate bare soil reflectance from Tanager observations in a pre-processing step. Validation is supported by field-based spectrometers and laboratory analysis of physical soil samples to provide the ground truth for distinct scene endmembers.

Preliminary findings suggest that the high signal-to-noise ratio of the Tanager hyperspectral sensor, when combined with artificial intelligence models, shows promising improvements in soil property retrieval accuracy.

How to cite: Grady, M., Ampas, H., Guillevic, P., Karyotis, K., Roth, K., and Wania, A.: Planet Tanager Hyperspectral Data to Retrieve Soil Properties of Heterogeneous Agricultural Landscapes , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12559, https://doi.org/10.5194/egusphere-egu26-12559, 2026.

EGU26-13469 | ECS | Orals | SSS10.6

Beyond general thresholds: A soil-based, data-driven identification of marginal agricultural lands 

Nándor Csikós, Annamária Laborczi, Katalin Takács, Gábor Szatmári, László Pásztor, and Gergely Tóth

Marginal agricultural lands, characterised by limited productivity and constrained suitability for conventional farming, represent a growing challenge for sustainable land management and agricultural planning. While several review studies have proposed generalised threshold values to identify marginal conditions, these broad definitions often fail to capture regional heterogeneity. Consequently, robust delineation requires approaches that derive thresholds directly from the characteristics of the study area, combining data-driven analysis with decision-relevant thresholds. In this study, we developed a geospatial framework to delineate marginal croplands across Hungary using high-resolution (100 m) spatial data. Soil properties, topographic variables, and climatic indicators were analysed at the pixel level. Marginality was assessed without relying on a single dependent variable, instead applying multiple threshold-based approaches to identify unfavourable conditions across individual variables. Thresholds were derived using complementary data-driven methods, including univariate unsupervised techniques such as Gaussian Mixture Models, one-dimensional clustering, and percentile-based classification. In parallel, expert-based threshold definitions were applied using distribution-based rescaling with predefined class boundaries. Each variable was evaluated independently to derive marginality scores, which were subsequently analysed by thematic categories (soil and environmental) and combined into an integrated marginality assessment. The results show consistent spatial patterns of agricultural marginality across Hungary, driven mainly by soil-related limitations, topographic constraints, and climate. Spatial agreement among different threshold-based classifications identifies areas of stable marginality, whereas disagreement delineates transitional zones influenced by methodological choices. The framework allows systematic comparison of threshold-based delineations of marginal agricultural lands.

How to cite: Csikós, N., Laborczi, A., Takács, K., Szatmári, G., Pásztor, L., and Tóth, G.: Beyond general thresholds: A soil-based, data-driven identification of marginal agricultural lands, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13469, https://doi.org/10.5194/egusphere-egu26-13469, 2026.

EGU26-14583 | ECS | Orals | SSS10.6

Field-scale digital soil mapping in the era of tabular foundation models 

Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers, and Martin Atzmueller

Digital soil mapping at the field-scale faces a fundamental challenge of building accurate predictive models from small, high-dimensional tabular datasets where training sample sizes are limited by cost and labor constraints. Traditional machine learning methods like Random Forest have long dominated pedometrics, but recent advances in artificial neural network architectures challenge this status. To investigate this, we develop a comprehensive evaluation framework built upon LimeSoDa, our diverse and fully open-access collection of field-scale digital soil mapping datasets. This allows us to assess the application of modern neural networks in pedometrics under realistic conditions of data scarcity. Our results demonstrate that contemporary architectures consistently outperform classical methods when coupled with specific methodological enhancements that address training instability. In-context learning tabular foundation models, such as TabPFN, show particular promise and surpass established baselines even on very small datasets. We go further and investigate the application of tabular foundation models on datasets with unfavorable feature-to-sample ratios typical in soil spectroscopy. Building upon principal component analysis and partial least squares, we propose hybrid strategies that effectively address the challenges posed by soil spectroscopy datasets. Going beyond purely tabular regression modeling, we extend our framework to incorporate spatial information through Kriging prior Regression, integrating geostatistical features into tabular machine learning predictions and further improving accuracy when sensor data alone provide limited information. Our findings establish a new baseline for field-scale digital soil mapping and offer methodological insights applicable to any precision agriculture domain constrained by small tabular datasets.

How to cite: Barkov, V., Schmidinger, J., Gebbers, R., and Atzmueller, M.: Field-scale digital soil mapping in the era of tabular foundation models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14583, https://doi.org/10.5194/egusphere-egu26-14583, 2026.

EGU26-15979 | Posters on site | SSS10.6

Spatiotemporal modeling of soil organic matter in the black soil area of Northeast China with INLA-SPDE and remote sensing data 

Wenjun Ji, Qing Yu, Baoguo Li, Yuanfang Huang, and Yang Yan

Spatiotemporal variation of soil organic matter (SOM) contents was significant to research on global warming, greenhouse effect, and ecosystem health and quality. However, the spatiotemporal modeling for soil properties in most studies focused on a discrete-time calibration and validation, and faced the problems of missing observations. Integrated Nested Laplace Approximation with the Stochastic Partial Differential Equation (INLA-SPDE) model that is robust to missing data and unbalanced sampling design was proposed as a potential model for spatiotemporal soil modeling. This study presented an application of INLA-SPDE for spatiotemporal modeling of SOM (2006, 2010, 2018) using 924 samples and 8 environmental covariates in Lishu County, Northeast China. The results demonstrated that the INLA-SPDE model incorporating spatiotemporal information generally outperformed the two-phase methods based on Cubist and Random Forest, particularly in years requiring greater temporal extrapolation (2006 and 2018), while achieving comparable performance in 2010. This superiority can be attributed to its comprehensive consideration of various sources of uncertainty. Furthermore, the posterior distributions derived from the model provided valuable insights into the effects of environmental covariates on SOM spatiotemporal variation, with clay content showing the strongest positive influence and annual precipitation exhibiting a notable negative effect. The spatial pattern of SOM consistently exhibited higher values in the east and lower values in the west. After an overall decline from 2006 to 2010, mean SOM content increased from 17.97 g kg-1 to 20.85 g kg-1 between 2010 and 2018 (a total increase of 2.88 g kg-1 at an annual rate of 0.36 g kg-1 yr-1), with notable recovery in central and eastern areas, likely associated with the implementation of straw returning practices. In addition to prediction accuracy, computational complexity, and uncertainty analysis, the study evaluated the model from new perspectives, including covariate interpretability and flexibility. This research provides a promising spatiotemporal modeling framework for digital soil mapping.

How to cite: Ji, W., Yu, Q., Li, B., Huang, Y., and Yan, Y.: Spatiotemporal modeling of soil organic matter in the black soil area of Northeast China with INLA-SPDE and remote sensing data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15979, https://doi.org/10.5194/egusphere-egu26-15979, 2026.

EGU26-16339 | ECS | Orals | SSS10.6

Development of a Soil pH Prediction Model for South Korean Agricultural Fields Using Digital Soil Mapping 

Eunjin Lee, Myung-Sook Kim, Ha-il Jung, and Tae-Goo Lee

Agricultural soils in South Korea are prone to acidification due to the leaching of exchangeable bases caused by intensive rainfall. To mitigate this issue, the government subsidizes lime fertilizers based on soil test data. However, for untested fields lacking analytical data, a standardized application rate is uniformly applied, which limits the precision of soil management. This study aims to develop an optimal prediction model and establish environmental and geographical covariates for the precise estimation of soil pH in untested fields using Machine Learning (ML)  techniques. A dataset comprising 203,941 soil pH measurements collected between 2022 and 2024 was utilized for model training. Based on the SCORPAN framework, we constructed environmental and geographical covariates across a grid covering South Korea, incorporating Soil (s), Climate (c), Organisms (o), Relief (r), Parent material (p), and Spatial position (n) factors. The Random Forest (RF) algorithm was employed as the primary prediction model. Furthermore, to account for spatial autocorrelation, a hybrid model combining RF with Ordinary Kriging (OK) of the prediction residuals (RF+OK) was developed, and its performance was compared with the standalone RF model. Variable importance analysis indicated that geographical variables (distance information) had the most significant influence on pH prediction, followed by organism variables (NDVI and crop cultivation density) and climatic variables. In the model performance evaluation, the standalone RF model achieved an R² of 0.509 and an RMSE of 0.550. However, the hybrid RF+OK model demonstrated significantly improved prediction precision, achieving an R² of 0.590 and an RMSE of 0.492. The big data-driven pH prediction model established in this study is expected to eliminate policy blind spots in areas lacking soil test information and enable the precise calculation of lime requirements for sustainable soil management.

How to cite: Lee, E., Kim, M.-S., Jung, H., and Lee, T.-G.: Development of a Soil pH Prediction Model for South Korean Agricultural Fields Using Digital Soil Mapping, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16339, https://doi.org/10.5194/egusphere-egu26-16339, 2026.

  • Nitrous oxide (N₂O) emissions from rice paddies represent an important but highly variable pathway of nitrogen loss, with strong dependence on local hydrological conditions, soil properties, climate regimes and management practices. This pronounced variability poses major challenges for process-based models (PBMs), which often rely on fixed functional structures and site-specific parameterization, limiting their ability to generalize across heterogeneous regions. In this study, we develop a hybrid modelling framework that integrates machine learning (ML) with PBMs to improve predictive generalization while retaining mechanistic interpretability. Within this framework, PBMs are used to explicitly describe N₂O responses to key environmental drivers, whereas the ML component is employed to capture, distill and generalize data-driven response relationships from multi-site observational datasets compiled at the global scale. Beyond methodological development, the hybrid approach is used to explore the spatial heterogeneity and dynamic responses of N₂O emissions across contrasting rice-growing regions. By jointly analysing climatic, soil and management drivers, we assess how response behaviours may differ between regions and under varying water management regimes. Our results highlight the potential of hybrid modelling as both a predictive and diagnostic tool for understanding N₂O variability in rice paddy systems. This framework provides a flexible foundation for future scenario analysis and supports the development of region-specific mitigation strategies for more sustainable rice production.

How to cite: Cao, Y., Pan, B., Chen, D., and Lam, S. K.: A Hybrid Machine Learning–Process-Based Modelling Approach to Explore Dynamic Responses and Spatial Heterogeneity of N₂O Emissions in Rice Paddies, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16639, https://doi.org/10.5194/egusphere-egu26-16639, 2026.

EGU26-16917 | ECS | Orals | SSS10.6

A Novel Depth-Explicit Model to Map the 3D Distribution of Soil Organic Carbon by Water and Tillage Erosion at the Catchment Scale. 

Matthias Maindiaux, Aurore Degré, Pierre Baert, Xin Li, Gilles Colinet, Louis Paternostre, Audrey Pissard, and Jeroen Meersmans

Soil organic carbon (SOC) plays a central role in soil fertility, carbon sequestration, and greenhouse gas flux regulation. In agricultural landscapes, water erosion (Ew) and tillage erosion (Et) processes alter the spatial and vertical distribution of SOC, leading to significant losses in erosional areas and accumulations in depositional areas (Baert et al. 2024) 1. Understanding and quantifying these erosion-driven controls on SOC distribution is essential for the sustainable management of soils and their carbon stocks. This study aims to quantify and model these processes in an agricultural catchment of 92 ha, located in the central Belgian loess belt, by developing a novel fully explicit 3D model prediction SOC as a function of depth, Ew and Et. The performance of this 3D model has been evaluated by comparing SOC stocks obtained through (i) its integrated application, versus (ii) the more classical approach based on a fixed stock calculations per site, considering a reference depth of 0.3m and 1m. The comparison shows that both approaches have very similar performances, both in terms of random (RMSE) and systematic error (%Bias). However, the 3D model has the advantage, over the more classical approach, that it is depth-explicit, and can therefore predict SOC values at any given depth.

The study combined the use of WaTEM/SEDEM model (Notebaert et al. 2006) 2 with the sampling of 45 soil profiles until a depth of 1m and a sampling interval of 0.1 m, across different topographical positions (i.e. plateau, convexity, slope, concavity and footslope) covering a wide range of both Ew and Et values in erosional and depositional contexts. In addition, as the proposed novel DSM approach is based on the general depth distribution of Meersmans et al. (2009) 3 , it provides a set of specific parameters related to the vertical heterogeneity of SOC (i.e. SOC at the surface (SOCsurf), SOC at the bottom of the profile(SOCinf), tillage depth (td), and the rate of the exponential decline underneath the plough layer (α)), which on its turn are all expressed as a function of Ew and/or Et rates .

Our research shows that SOC stocks is two-fold higher in depositional areas as compared to eroded sites. Moreover, the present study highlights that Et and Ew are having a different impact on the redistribution, and hence both the vertical and horizontal heterogeneity, of SOC within agricultural landscapes. In this respect, Et mainly affects surface SOC stocks, whereas Ew has a greater impact on deeper stocks. Given its good performance, the presented novel spatially explicit 3D model can be considered as a promising tool for refining the quantification of SOC stocks and associated Digital Soil Mapping-products at the catchment scale.

1 Baert et al. (2024). Assessing the 3D distribution of soil organic carbon by integrating predictions of water and tillage erosion into a digital soil mapping-approach: A case study for silt loam cropland (Belgium).

2 Notebaert et al. (2006). WaTEM / SEDEM version 2006 Manual.

3 Meersmans et al. (2009). Modelling the three dimensional spatial distribution of soil organic carbon (SOC) at the regional scale (Flanders, Belgium).

How to cite: Maindiaux, M., Degré, A., Baert, P., Li, X., Colinet, G., Paternostre, L., Pissard, A., and Meersmans, J.: A Novel Depth-Explicit Model to Map the 3D Distribution of Soil Organic Carbon by Water and Tillage Erosion at the Catchment Scale., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16917, https://doi.org/10.5194/egusphere-egu26-16917, 2026.

EGU26-17489 | Posters on site | SSS10.6

Towards user needs assessment for DSM products 

Laura Poggio, David Rossiter, Niels Batjes, and Bas Kempen

Digital Soil mapping (DSM) provides standardised information layers. The recent availability of global and continental remote sensing-derived products coupled with the ease-of-access to computational resources has made the production of such layers easier. It is ever to characterise and evaluate such DSM-derived products, in particular the type of actual information they can provide to users.  

 

DSM studies commonly assess prediction uncertainty using various approaches, including multiple simulations or quantile random forests. These studies provide measures of accuracy derived from statistical (cross-)validation, often based on non-probability and non-representative observations. However, these accuracy metrics and uncertainty assessments do not encompass all the potential elements that could be used to characterise a DSM product, and they do not directly address the needs of the users. We assessed maps based on area of applicability (i.e., the area in covariate space where the model learns about relationships based on the training data), the landscape heterogeneity both in the landscape itself and in covariate space, and the local influence of the covariates on the final products.  

 

We present examples of continental and global mapping products, highlighting main accuracy, uncertainty and interpretability aspects and how these influence their suitability for intended use by stakeholders, decision makers and users in general at the given resolution. The results permit some practical reflections on how to integrate all the above elements to identify regions where the confidence in the predictions is highest and the associated uncertainty lowest, but also, where the product is not considered fit for the intended use.  

How to cite: Poggio, L., Rossiter, D., Batjes, N., and Kempen, B.: Towards user needs assessment for DSM products, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17489, https://doi.org/10.5194/egusphere-egu26-17489, 2026.

EGU26-17841 | ECS | Orals | SSS10.6

Limits and opportunities of multispectral data for estimating soil organic carbon (SOC) content in croplands. 

Dries De Bièvre, Pierre Defourny, and Bas van Wesemael

Soil Organic Carbon (SOC) can play a role in climate mitigation and is critical to soil functioning, yet assessment of its spatial and temporal variability remains challenging. Advances in soil spectroscopy and increasing availability of multispectral satellite images have raised expectations that bare soil reflectance could support SOC content estimation at high spatial resolution. However, the suitability of such data for either SOC content mapping (spatial variability) and/or SOC monitoring (temporal variability) remains insufficiently understood. The spatial resolution of Sentinel-2 could allow to estimate SOC content at parcel, or intra-parcel spatial support.

Using a unique dataset of 34,418 parcel-level soil analyses, we evaluated whether Sentinel‑2 bare soil composites can support SOC mapping and monitoring in Wallonia (Belgium). The models were used to assess (i) the complementarity of spectral data to information from a set of environmental covariates, (ii) quantify prediction uncertainty, (iii) assess the potential of SOC content estimates for mapping or monitoring at parcel and aggregated spatial levels, and (iv) interpretation of the spectral features selected by the models.

In the context of the Walloon region, environmental and spectral covariates were found to be complementary. The strongest gains in performance were in homogeneous areas where SOC variability is low and poorly captured by spectral data alone. The performance of the model increases when including soil property maps, altitude and agro-ecological zones as covariates. The optimal model estimates SOC content with an RMSE of 2.7 g C kg-1 at parcel-level and quantile regression methods provided reliable uncertainty estimates. The predictive value of all pairwise combinations of Sentinel-2 bands was evaluated, allowing to select 4 relevant spectral indices. The Minimum Detectable Difference of the model estimates exceeded the expected rates of SOC content change within 10 years of implementing carbon farming practices. This indicates that multispectral bare soil composites are not suitable for SOC content monitoring at parcel-level, as noise may be misinterpreted as temporal SOC content variability.

Interpretation of the selected spectral features revealed that there is a physical explanation for their correlation to SOC content. The selected index NBR2 however, is likely correlated to clay content rather than SOC content, further limiting the use for temporal monitoring. In contrast, our results support the use of bare soil composites for SOC content mapping, providing relevant spatial information, complementary to traditional digital soil mapping covariates. Moreover, the maps allow for estimation of average SOC content at aggregated spatial units, for which uncertainty quantification is essential.

Our results therefore support the use of multispectral bare soil composites for SOC content mapping, while tempering expectations regarding their use for SOC monitoring at parcel-level. Future work should focus on refining mapping approaches and improving understanding of the indirect spectral–soil relationships that underpin SOC predictions as well as the use of hyperspectral imagery for SOC content estimation.

How to cite: De Bièvre, D., Defourny, P., and van Wesemael, B.: Limits and opportunities of multispectral data for estimating soil organic carbon (SOC) content in croplands., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17841, https://doi.org/10.5194/egusphere-egu26-17841, 2026.

EGU26-18576 | Orals | SSS10.6

Pedotransfer functions for forest soils with low bulk density and high organic carbon content: Insights from the Eastern Alps. 

Josef Gadermaier, Thomas Zieher, Maximilian Behringer, Klaus Klebinder, David Keßler, Tobias Hohenbrink, Michael Englisch, and Klaus Katzensteiner

Pedotransfer functions (PTFs) are widely used to estimate soil hydraulic properties from easily measurable soil attributes and are essential in hydrological modelling and soil evaluation. However, most established PTFs are derived from datasets dominated by agricultural soils or mineral forest soils with moderate to high bulk density (>0.9 g cm-3). As a result, forest soils characterized by low bulk density and elevated organic carbon (Corg) contents are insufficiently represented, despite their abundance in mountainous and temperate forest regions. The hydraulic characteristics of such soils, intermediate between mineral and organic soils, differ markedly and therefore the application of existing PTFs fails to adequately represent the hydraulic complexity of these soils.

In the present study, we developed and evaluated new PTFs specifically tailored to forest soils with low bulk density (0.1-0.9 g cm-3) also including organic horizons and litter layers (Corg >20%). The analysis is based on an extensive dataset of undisturbed soil samples collected from forest sites across the Eastern Alps from different depth intervals. Soil water retention curves were determined over a wide suction range using the evaporation method (HYPROP) combined with dew-point-method (WP4C). The dataset was further extended with a comparable, recently published dataset for soil hydraulic properties of forest soils from a global compilation to enable independent validation.

In a first step we investigated the dependence of derived Mualem van Genuchten parameters of the selected soil horizons on soil texture, bulk density, and Corg across different bulk-density classes. Results show a clear shift in controlling factors below a bulk density threshold of 0.9 g cm⁻³. While soil texture remains the dominant predictor in higher bulk-density classes, its influence diminishes at lower bulk densities. In contrast, bulk density and Corg content increasingly control the shape of the water retention curve, indicating that structural and organic-matter-related effects outweigh textural controls in these soils.

Based on these findings, we derived PTFs for forest soils grouped in bulk density classes. Validation against an independent dataset demonstrates that the proposed PTFs significantly reduce root mean squared errors compared to established PTFs developed for mineral soils, forest soils with higher bulk density, or pure organic horizons. Improvements are particularly pronounced in the wet and intermediate suction ranges that are most relevant for plant available water.

Our results highlight the need for specialized PTFs for forest soils with low bulk density and high Corg content. The new PTFs contribute to reducing the knowledge gap in soil hydraulic properties within the complex transition space between mineral soils and purely organic soils (Corg > 20%) and support improved representation in hydrological and ecosystem models.

How to cite: Gadermaier, J., Zieher, T., Behringer, M., Klebinder, K., Keßler, D., Hohenbrink, T., Englisch, M., and Katzensteiner, K.: Pedotransfer functions for forest soils with low bulk density and high organic carbon content: Insights from the Eastern Alps., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18576, https://doi.org/10.5194/egusphere-egu26-18576, 2026.

EGU26-18609 | ECS | Orals | SSS10.6

High-resolution European soil property maps leveraging foundation-model Earth observation embeddings 

Eric Smit, Luca Giuliano Bernardini, Álvaro Moreno Martínez, Jordi Muñoz-Marí, Francesco Vuolo, and Emma Izquierdo-Verdiguier

High-resolution soil property maps (SPMs) are of high relevance on multiple spatial scales. At field-scale, highly resolved knowledge of soil properties can inform soil management zone delineation for precision agriculture applications like irrigation, fertilisation or compaction risk management. On regional to national scales, high-resolution SPMs can aid in formulating soil policy with accurate baselines and realistic improvement goals. They may assist in soil unit definition, aiding in the balancing act between scientific precision and geographic cohesion, i.e. administrative effectiveness. On a continental, European scale, these SPMs can inform on the adequacy of Soil Monitoring Law implementation and can increase the representativity of continental soil sampling campaigns.

Contributing to this effort, we produced 10 m-resolution maps of soil pH, bulk density, coarse fragments, and texture (sand, silt, clay). This represents a large increase in spatial resolution compared to previously published maps, whose cells cover at least 250 x 250 m. We generated our maps by training shallow property-specific artificial neural networks (ANNs) on soil sample data across the EU-27 + the United Kingdom. We used soil data from the Land Use/Coverage Area frame statistical Survey (LUCAS): texture and coarse fragments data from the 2009 campaign, and pH and bulk density data from 2018. Instead of collecting a large number of spatial covariate data layers, we used the AlphaEarth Foundations satellite embeddings, produced by Google DeepMind. The satellite embeddings are the result of a representation learning model trained to efficiently compress Earth observation data. In this way, data from various sources is represented as a 64-dimensional vector per 10 m pixel. We extracted the 2018 embeddings as predictors for all soil properties. After training the models, we produced the full maps on Google Earth Engine (GEE) using a hand-implemented ANN with five neurons in the hidden layer, followed by a dropout layer. The dropout layer gave us the opportunity to additionally provide a prediction uncertainty map per soil property. A single output model was used to produce pH, bulk density and coarse fragments, while a multioutput NN generated the three texture components. Model performances varied, with R² ranging from 0.21 (coarse fragments) to 0.69 (pH). We validated our maps using a variety of field- and regional-scale soil datasets, furthermore by comparison of the value distributions with LUCAS data on European and national scales, and by visually contrasting with published soil property maps. We look forward to testing the temporal stability of our models once LUCAS 2022 data are available. Our soil maps will be necessary and useful for the scientific community across scales, from the field to the continent.

How to cite: Smit, E., Bernardini, L. G., Moreno Martínez, Á., Muñoz-Marí, J., Vuolo, F., and Izquierdo-Verdiguier, E.: High-resolution European soil property maps leveraging foundation-model Earth observation embeddings, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18609, https://doi.org/10.5194/egusphere-egu26-18609, 2026.

EGU26-19548 | ECS | Orals | SSS10.6

Radionuclide-based prediction of Soil Organic Carbon: a proximal sensing approach for high-resolution soil mapping 

Nicola Mansfield, Alex Taylor, Robin Jackson, Rupert Goddard, Sam Keenor, Brian Reid, and William Blake

Soil organic carbon (SOC) is a critical indicator of soil health and central to land management initiatives with climate change mitigation co-benefits. Conventional sampling and laboratory analysis however remain labour-intensive and costly, creating significant gaps in spatial and temporal coverage. These limitations hinder the development of explicit, quantitative, and spatially realistic SOC maps needed for environmental modelling, land management, and impact verification. Portable proximal sensing technologies, such as gamma ray spectrometry (GRS), offer a promising solution by enabling rapid, in situ measurements for high-resolution digital soil mapping.

We explore how radionuclide proxy measurements with portable gamma ray spectrometry can provide scalable, spatially explicit SOC estimates that can be integrated into pedometric frameworks. Soil samples were collected from two fields, one arable and one permanent pasture, on an estate in southwest UK. Radionuclide activity concentrations were measured at sample locations, and continuous walking surveys were conducted to generate spatial maps of measured radionuclide activity across both fields.

Correlation analysis and principal component analysis (PCA) were used to explore relationships between radionuclides and SOC. Results show that radionuclide activity concentrations are consistently and negatively associated with SOC, particularly thorium-232 (-0.77) and potassium-40 (-0.69). Elastic net regression and partial least squares regression (PLSR) identified thorium-232, potassium-40/uranium-238, potassium-40, and thorium-232/uranium-238 as consistently important variables (PLSR VIP scores 1.21, 1.12, 1.08, 1.07 respectively), emerging as strong indicators of SOC variation. These findings highlight the potential for radionuclide proxies to explain SOC distribution and offer insight into broader soil health dynamics across contrasting land uses.

The results support the adoption of portable gamma ray spectrometry as a transparent digital soil mapping tool addressing current gaps in spatial SOC representation. To ensure trust and reproducibility, protocols must be validated across a range of soil conditions, and conversion approaches from radionuclide proxies to SOC must be standardized (work currently advancing in the Joint FAO/IAEA Coordinated Research Programme D12015 on “Combining Gamma-Ray Sensing and Digital Technology for Soil Moisture and Soil Property Mapping”). Transparency is essential, from raw proxy measurements through to SOC map products, so that stakeholders can confidently use these data for decision-making. When applied with rigour and data traceability, this approach offers meaningful support for Climate-Smart Agriculture and sustainable land management strategies while reducing uncertainty in soil property mapping.

How to cite: Mansfield, N., Taylor, A., Jackson, R., Goddard, R., Keenor, S., Reid, B., and Blake, W.: Radionuclide-based prediction of Soil Organic Carbon: a proximal sensing approach for high-resolution soil mapping, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19548, https://doi.org/10.5194/egusphere-egu26-19548, 2026.

Machine-learning (ML) models are increasingly used to predict environmental process parameters from literature-derived datasets. A common but rarely scrutinized practice is random data splitting for model training and evaluation, which implicitly assumes independence among samples. However, environmental datasets often contain strong group structures arising from shared soil sources. Samples originating from the same soil may share substantial, unquantified microbial information, including community composition, functional potential, and legacy effects, which cannot be fully represented by standard physicochemical descriptors. Ignoring such group structure may therefore induce group-wise information leakage and lead to overoptimistic assessments of model performance.

 

Here, we systematically examine the consequences of random versus group-wise data splitting for ML-based prediction of distribution coefficient (Kd) and first-order degradation rate constants (μ) of atrazine in soils. A dataset was compiled from published batch experiments and incubation studies, comprising 306 datasets from 205 distinct soils (adsorption) and 329 datasets derived from 77 distinct soil sources (degradation); grouping was defined exclusively based on shared soil sources. This grouping strategy explicitly reflects the presence of latent microbial controls that remain unobservable to the model. ML models were trained using identical algorithms but evaluated under two contrasting strategies: (i) conventional random splitting that ignores soil-based group structure, and (ii) group-wise splitting that enforces complete separation of soil sources between training and testing sets.

 

Taking atrazine degradation as an example, under random splitting, models exhibit apparently strong predictive performance, characterized by near-zero mean bias and inflated coefficients of determination (R² against the 1:1 line = 0.835; RMSE = 0.037; MAE = 0.019). In contrast, group-wise splitting reveals a pronounced degradation in performance, with the coefficient of determination against the 1:1 line dropping to R² = 0.099, accompanied by substantially increased errors (RMSE = 0.093; MAE = 0.053) and systematic overestimation of μ, reflected by a positive bias of 0.013 (≈ 24%). A similar pattern emerges for atrazine adsorption. These results demonstrate that random data splitting can fundamentally overstate the predictive capability of ML models trained on literature-derived soil datasets when shared soil sources are present. Therefore, we argue that soil-based group-wise evaluation is essential for ensuring robust assessment of model generalizability in data-driven studies of soil biogeochemical processes.

How to cite: Chen, F. and Vanderborght, J.: Random data splitting of literature-derived data ignoring group structure leads to group-wise information leakage in machine-learning models: Evidence from atrazine adsorption and degradation in soils, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19636, https://doi.org/10.5194/egusphere-egu26-19636, 2026.

EGU26-20473 | ECS | Orals | SSS10.6

Mapping and validating the root zone plant-available water holding capacity in central Ethiopia 

Musefa Redi Abegaz, Gerard B.M. Heuvelink, and Johan G.B. Leenaars

Abstract

Reliable estimates of the root zone plant-available water holding capacity (RZ-PAWHC) are essential for assessing crop water availability and supporting climate-resilient agricultural planning. RZ-PAWHC is calculated by summing the plant-available water holding capacity (PAWHC), adjusted for the soil fine earth fraction (SFEF), over the root zone depth (RZD). Existing Sub-Saharan Africa (SSA) maps of RZ-PAWHC rely on coarse datasets and lack validation. We generated 100 m-resolution RZ-PAWHC maps for maize and wheat across central Ethiopia by integrating national soil datasets, digital soil mapping, pedotransfer function (PTF), and rule-based rootability indices. Thirteen primary soil properties were mapped at 5 cm-thick intervals from 0 to 150 cm depth using Random Forest models. Two additional primary soil property maps—depth to bedrock and drainage class, each providing a single value per pixel—were obtained from Africa-SoilGrids. These properties served as inputs for PTF to estimate volumetric moisture content at field capacity (VMC-FC) and at permanent wilting point (VMC-PWP), and for rootability rules to derive RZD. A coarse fragment map was also used to derive SFEF. RZD was defined as the shallowest of the depth to bedrock, to oxygen shortage (derived from drainage class), to a restrictive soil layer, or to a crop-specific maximum rooting depth. Prediction accuracy of the primary soil property maps ranged from a model efficiency coefficient of 0.17 for coarse fragments to 0.79 for pH-H₂O. Derived maps showed that PAWHC over the 0150 cm depth ranged from 1 to 237 mm (mean = 122 mm), SFEF averaged 89%, reducing total PAWHC by 11%, and mean maize RZD was 124 cm, primarily constrained by bedrock (covering 45% of the mapped area) and oxygen shortage (22%). RZ-PAWHC maps had mean values of 91 mm for maize and 83 mm for wheat, with the lowest values observed in poorly drained, clay-rich soils. Compared with SSA maps for maize, the generated maps indicated higher RZ-PAWHC due to higher PAWHC, higher SFEF (89 vs 83%) and deeper rooting (124 vs 107 cm), with only minimal chemical root restrictions (salinity, sodicity, toxicity; 1 vs 17%). Validation against independent soil and root observations from 50 soil pits (up to 2 m depth) showed that the generated maps outperformed SSA for VMC-FC and VMC-PWP, while the SSA map better estimated PAWHC and SFEF. RZD and RZ-PAWHC were overestimated in the generated maps, whereas SSA underestimated them. Deriving PAWHC, SFEF, RZD, and RZ-PAWHC from measured- instead of from mapped soil properties revealed that errors were mainly driven by inaccuracies in the mapped soil properties rather than by the PTF or RZD derivation rules. These findings highlight the importance of improving the accuracy of critical soil property maps —particularly drainage and depth to bedrock— which most strongly constrained RZD.

 

Keywords: root zone depth, plant-available water holding capacity, pedotransfer function, validation, central Ethiopia

How to cite: Abegaz, M. R., Heuvelink, G. B. M., and Leenaars, J. G. B.: Mapping and validating the root zone plant-available water holding capacity in central Ethiopia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20473, https://doi.org/10.5194/egusphere-egu26-20473, 2026.

EGU26-20486 | Orals | SSS10.6

Depth-discrete, machine-learning-interpretable soil parent material representation for robust soil mapping in complex mountain terrain 

Tobias Huber, Alois Simon, Klaus Klebinder, Michael Englisch, David Kessler, Christina Ganser, Johann Gruber, Marcus Wilhelmy, Juliana Szentiványi, Jennifer Brandstätter, Thomas Wagner, Matevž Vremec, and Gerfried Winkler

Rising temperatures and increasing climatic stress will push forest ecosystems in mountain regions towards their ecological limits, intensifying the need for informed decisions on forest management and tree species suitability. Such assessments rely on spatially explicit ecological models that require area-wide, depth-resolved soil information as a key input. Digital soil mapping (DSM) provides a framework to generate such information; however, the reliability and interpretability of model outputs strongly depend on how soil parent material information is represented at the input stage. Soil parent material, defined by bedrock and/or overlying material derived from geomorphological processes, is commonly described using geological maps and related datasets that encode properties as categorical units. While this representation is widespread across many landscapes, it becomes particularly limiting in complex mountain terrain, where fine-scale spatial variability and vertical heterogeneity arise from interacting geological and geomorphological processes. These processes strongly control the physical and chemical characteristics of the soil parent material but are difficult to resolve using class-based representations. In addition, soil parent material information is typically available at coarser and inconsistent spatial resolutions compared to terrain-derived predictors used in DSM. This limits its suitability for data-driven mapping and ecological modelling, where spatial consistency, depth discreteness and plausibility of predictors are essential. 

We address the preparation of soil parent material information as machine-learning-compatible predictors. Geological and geomorphological information differentiated by genetic process types is derived from project-specific geological and geomorphological field mapping and encoded as a set of categorical chemical and physical property classes, including rare but pedologically relevant types. These class-based descriptions are transformed into continuous representations of parent material composition, expressed by five mineral component layers and physical fractions describing grain-size distribution and proportions of consolidated (bedrock-derived) versus unconsolidated (deposit-derived) material. This preserves pedological meaning, reduces the dominance of unevenly represented classes in data-driven modelling, and enables proportional mixing across geometric soil depth intervals, resulting in more stable and interpretable learning than purely categorical predictors. 

Using a rule-based allocation scheme, polygon-based information on soil parent material genetics, layer thickness, and areal extent of unconsolidated cover is used to derive depth-discrete parent material layers for four geometric soil depth levels. Bedrock is represented as the basal parent material, while overlying unconsolidated material may be present with a defined areal coverage fraction within a homogeneous geological polygon. Vertical mixing is handled proportionally based on depth contribution. For parent material types associated with gravitational processes, an additional standalone two-dimensional distribution model, independent of mapped areal coverage information, is used to resolve pixel-scale presence or absence of overlying unconsolidated parent material. Parent material types associated with other genetic processes (e.g. aeolian, fluvial or glacial) are assumed to exhibit spatially continuous coverage and are mixed vertically according to their thickness. 

By providing vertically consistent and physically interpretable predictors, including the systematic transformation of class-based soil parent material descriptions into continuous representations, the proposed depth-aware approach enables the generation of area-wide, spatially coherent soil information. These products are suitable as input for downstream ecological applications, such as tree species suitability and soil hydrological assessments. 

How to cite: Huber, T., Simon, A., Klebinder, K., Englisch, M., Kessler, D., Ganser, C., Gruber, J., Wilhelmy, M., Szentiványi, J., Brandstätter, J., Wagner, T., Vremec, M., and Winkler, G.: Depth-discrete, machine-learning-interpretable soil parent material representation for robust soil mapping in complex mountain terrain, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20486, https://doi.org/10.5194/egusphere-egu26-20486, 2026.

EGU26-20856 | ECS | Posters on site | SSS10.6

Seeing variability before sampling: soil stratification from fields to landscapes 

Luca Giuliano Bernardini, Eric Smit, Emma Izquierdo-Verdiguier, Christoph Rosinger, Gernot Bodner, Walter Wenzel, and Katharina Keiblinger

Obtaining representative soil samples is fundamental for robust soil research, agronomic decision-making, and evidence-based policy planning. Because soil sampling and laboratory analyses are resource-intensive, sampling campaigns typically rely on selecting a limited number of representative sites using methodologies that depend on the spatial scale of interest and the availability of prior information. A common approach is stratified sampling, in which sampling locations are allocated based on known drivers of soil variability. However, the choice of stratification variables and their effectiveness across scales remain open questions.

In this study, we compare three soil sampling strategies: simple random sampling, land-use-based stratification, and stratification based remote sensing products, across multiple field-scale and small-landscape-scale case studies. The performance of each strategy is evaluated in terms of its ability to capture spatial variability in key soil properties while minimizing sampling effort using design efficiency as the evaluation criterion. Our results provide insights into the relative efficiency and robustness of remote sensing-based stratification compared to more commonly applied approaches, and highlight the conditions under which each sampling strategy is most appropriate.

How to cite: Bernardini, L. G., Smit, E., Izquierdo-Verdiguier, E., Rosinger, C., Bodner, G., Wenzel, W., and Keiblinger, K.: Seeing variability before sampling: soil stratification from fields to landscapes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20856, https://doi.org/10.5194/egusphere-egu26-20856, 2026.

Mapping fine-grained soil particle size distributions (PSDs) in complex forest ecosystems remains a significant challenge in pedometrics. Traditional pixel-based machine learning approaches often struggle to capture the spatial heterogeneity and dependencies inherent in forest soils, particularly when ground-truth sampling is limited by cost and accessibility. This study presents a novel, holistic GeoAI framework that integrates geostatistical augmentation with Graph Neural Networks (GNNs) to map fine-grained soils (<60 µm) using LiDAR and Sentinel-2 data.

Our methodology addresses the "small data" problem through a two-stage process. First, we employed CoKriging (geostatistics) to locally upscale point-based soil samples within measured forest stands. This geostatistical interpolation generated a dense set of annotated training data, effectively augmenting the dataset to train GNN models. Second, we shifted from varying pixel resolutions to object-based analysis by segmenting forests into homogeneous polygonal zones based on tree species and canopy structure, which served as nodes in a graph structure.

We evaluated five GNN architectures (GAT, RGCN, GCN, EGNN, and MPNN) to predict PSDs using ~60 covariates derived from high-resolution LiDAR (geomorphometry, hydrology) and Sentinel-2 time-series (vegetation/soil indices). The graph attention network (GAT) emerged as the superior model, demonstrating remarkable stability and predictive accuracy. By utilizing multi-head attention mechanisms, the GAT model successfully learned the importance of neighboring nodes and complex spatial dependencies that standard convolutional models often miss. The GAT model achieved R2 values exceeding 0.98 across all soil particle groups. Feature importance analysis revealed that LiDAR-derived geomorphometry (specifically elevation and downslope) and Sentinel-2 derived organisms (e.g., WDVI) were the dominant covariates driving predictions. This approach demonstrates that combining geostatistical data augmentation with the relational learning capabilities of GATs offers a scalable, accurate solution for digital soil mapping in data-sparse environments, with significant implications for forest management and hydrological modelling.

Reference: Abdi, O., Laamanen, V., & Uusitalo, J. (2025). Mapping forest fine-grained soil particle size distributions: a holistic GeoAI approach via graph neural networks, LiDAR, and Sentinel-2. International Journal of Applied Earth Observation and Geoinformation, 143, 104807. https://doi.org/10.1016/j.jag.2025.104807.

How to cite: Abdi, O., Laamanen, V., and Uusitalo, J.: From Geostatistics to Graph Attention Networks: A Holistic GeoAI Approach for Mapping Forest Soil Particle Size Distributions with Limited Samples, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20902, https://doi.org/10.5194/egusphere-egu26-20902, 2026.

Accurate spatial prediction of soil organic carbon (SOC) is a key component of digital soil mapping and is essential for environmental modelling and land management. The increasing availability of multi-source satellite observations offers new opportunities to improve SOC mapping. However, the relative contribution of different optical and radar data sources remains still not fully clear. In this study, we systematically evaluate the influence of multi-temporal optical and synthetic aperture radar (SAR) observations on SOC prediction at the continental scale. A total of 18,984 topsoil samples (0–20 cm) from the LUCAS soil survey were combined with historical satellite-derived predictors. SOC prediction models were developed using geostatistical and machine-learning approaches and evaluated using cross-validation. Different combinations of optical and SAR predictors were tested to assess their impact on model performance and spatial patterns of SOC maps. Results showed that SOC prediction accuracy was strongly dependent on the type of satellite information used. Sentinel-3 long-term optical observations provided the highest predictive performance, explaining up to 70% of SOC spatial variability. SAR co- and cross-polarization contributed similarly to SOC prediction, while their combination further improved model performance. Predicted SOC maps exhibited pronounced spatial heterogeneity, with consistent large-scale patterns but varying local details across data sources. These findings highlight the complementary value of optical and radar observations and provide practical guidance for data selection in large-scale digital soil mapping of SOC.

How to cite: lyu, W. and Maerker, M.: Digital mapping of soil organic carbon across Europe using multi-source optical and radar observations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21110, https://doi.org/10.5194/egusphere-egu26-21110, 2026.

EGU26-21123 | ECS | Orals | SSS10.6

Digital soil mapping of soil properties for enhanced management of Kenyan tea estates. 

Joanna Zawadzka, Minerva Singh, Bader Oulaid, Ann Holden, Gabriel Tuwei, Andrew Wallace, Toby Waine, and Ron Corstanje

Successful tea cultivation is dependent on careful soil management practices that are underpinned by information on soil properties, which tends to be sparse in tea growing regions. Such information is often periodically captured through field sampling, however, may only be available for selected plantations or fields within larger tea estates. Consequently, soil management decisions on some plantations are made in the absence of soil information.

In this study, digital soil mapping techniques were used to create 30 m resolution maps of selected soil properties that were captured within Kericho, Kimugu and Cheymen tea plantations on a large tea estate managed by Browns East Africa Plantations Kenya Ltd in Western Kenya. Preliminary results, obtained from relating soil properties to topographic and climatic SCORPAN factors using random forests revealed differing importance of climatic and topographic predictors for different soil properties, suggesting different drivers behind variation in these properties. The accuracy of the predictions, measured with the root mean square error, was 0.96% for soil organic carbon, 0.31 for pH, 0.097 mg/kg for nitrogen, 9.77% for sand, 3.65% for silt, and 10.56% for clay. Maps for plantations with no validation data available were then sense-checked against the predictive soil maps for Africa (AfSIS).

Further improvements in accuracies are expected from inclusion of NDVI image composites to aid soil carbon modelling as well as data on fertiliser applications within tea plots for nitrogen predictions, coupled with the XGBoost algorithm. Finalised maps are expected to be used within the digital platform for tea crop management called “Internet of TeaTM” or “IoTeaTM” that incorporates a model of tea growth and development called “CUPPA-Tea”. Alongside, the underpinning soil data will help us understand the fundamental processes in the soil that influence greenhouse gas emissions, and using advanced genomic technologies to accelerate the tea breeding process.

How to cite: Zawadzka, J., Singh, M., Oulaid, B., Holden, A., Tuwei, G., Wallace, A., Waine, T., and Corstanje, R.: Digital soil mapping of soil properties for enhanced management of Kenyan tea estates., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21123, https://doi.org/10.5194/egusphere-egu26-21123, 2026.

Global Navigation Satellite System-Reflectometry (GNSS-R), as a favorable technology to provide large-scale soil moisture estimates, contributes to studies in climatology, hydrology, and agriculture. The Tianmu-1 Meteorological Mission (TM-1), currently runs 23 satellites in orbit (including one experimental satellite) with multi-GNSS compatibility, achieve shorter revisit periods and higher data acquisition frequencies compared with single-satellite missions. The hourly TM-1 surface soil moisture (SSM) products, offer affluent information for global soil moisture monitoring. This study provides the first comprehensive characterization and performance evaluation of TM-1 SSM products based on in-situ measurements and products of Soil Moisture Active Passive (SMAP), European Space Agency Climate Change Initiative (ESA CCI), and Global Land Data Assimilation System (GLDAS). The TM-1 SSM demonstrates expected spatiotemporal patterns at both regional and global scales. The in-situ validation results reveal its landcover-dependent accuracy, with superior performance over bare soils (unbiased Root Mean Square Error, ubRMSE of about 0.02 m³/m³) compared to vegetated regions (ubRMSE of around 0.07 m³/m³). Furthermore, Extended Triple Collocation (ETC) assessments using (1) TM-1, active, and ground observations and (2) TM-1, model, and ground observations triplets are conducted. The ETC-derived results present that TM-1 SSM achieve global correlation coefficient of 0.75 and random error standard deviation of 0.035 m³/m³. Overall, this study demonstrates the reliable accuracy of TM-1 SSM product, and provides valuable insights for its refinement and potential applications.

How to cite: Wang, Q.: In-situ and triple collocation-based evaluations of Tianmu-1 global soil moisture products, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21463, https://doi.org/10.5194/egusphere-egu26-21463, 2026.

EGU26-22141 | ECS | Orals | SSS10.6

Soil Organic Carbon Heterogeneity: Insights from Hyperlocal and Field-Scale Sampling 

Christopher Lakey, Nichola Knox, and Jacqueline McGlade

The organic carbon content of soil is of increasing global interest. Soil is the largest terrestrial store of carbon on the planet, yet many agricultural soils are highly degraded, and a significant source of greenhouse gas emissions. However, appropriate management can mitigate carbon loss and even turn agricultural soils into carbon sinks. Soil Organic Carbon (SOC) content is also a good indicator of soil health: higher SOC levels are typically associated with improved soil structure, moisture retention, and plant nutrient availability. Increasing soil carbon stocks is therefore important from both food security and climate perspectives.

Understanding the spatial variability of soil organic carbon (SOC) is critical for accurately monitoring and managing soil carbon stocks. Field-scale soil sampling is widely used to estimate SOC and infer its spatial distribution; however, SOC can vary substantially over short distances, leading to challenges in characterising within-field heterogeneity. When short-range variability is high, low-density sampling and spatial interpolation may fail to capture meaningful structure, resulting in uncertain predictions and misleading estimates of field-scale means.

We present a case study wherein we compared hyperlocal (≤10 m) and field-scale soil sampling results. Statistical analyses were applied to evaluate SOC variability across different spatial scales and to assess the significance of hyperlocal soil carbon variability.

Results show that hyperlocal variability can closely reflect that observed at the field scale, helping to explain why spatial patterns may not be effectively captured by coarse-scale sampling. Meanwhile, where hyperlocal variance was small, field-scale spatial structure was clearer, making interpolation more defensible. This demonstrates that hyperlocal sampling provides a useful diagnostic for assessing whether field-scale SOC data can meaningfully support spatial modelling.

This study highlights the value of incorporating hyperlocal sampling into soil carbon assessments to better capture spatial heterogeneity and improve the reliability of carbon monitoring.

How to cite: Lakey, C., Knox, N., and McGlade, J.: Soil Organic Carbon Heterogeneity: Insights from Hyperlocal and Field-Scale Sampling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22141, https://doi.org/10.5194/egusphere-egu26-22141, 2026.

EGU26-22985 | ECS | Orals | SSS10.6

Environmental Controls on Portable Gamma Spectrometry for Soil Property Assessment: Influence of Land Use and Soil Type on a Farm Level 

Brenda Trust, Martin Blackwell, Lauren Ansell, Adrian Collins, Nicola Mansfield, Jennifer Rowntree, and William Blake

Proximal sensing techniques play an increasingly important role in pedometrics and digital soil mapping, yet methodological challenges remain in achieving pedologically consistent, transferable predictions. Portable gamma-ray spectrometry (pGRS) offers a physically grounded sensing approach, but its sensitivity to environmental conditions and soil type complicates the development of robust soil property conversion algorithms. This study addresses key session themes by evaluating sampling design, depth consistency, and physical interpretability in pGRS-based soil prediction.

Using a structured grid-based sampling framework, we combined in-situ pGRS measurements with laboratory analyses across contrasting arable and grassland systems at the North Wyke Farm Platform (UK), an experimental research farm, and a geologically distinct external site. Relationships between gamma-derived variables (40K, 238U, 232Th) and soil texture, SOC, and soil moisture were examined alongside depth-profile data to assess vertical consistency.

Results show that ⁴⁰K provides a pedologically meaningful predictor of texture and SOC, while soil moisture exerts a physically interpretable attenuation effect on gamma signals. Depth analyses demonstrate that pGRS sensitivity is heavily influenced by the near-surface (0-10 cm), with soil property gradients, rather than radionuclide redistribution, controlling signal response. These findings demonstrate the potential for pGRS-derived predictions and inform the development of depth-aware pedo-transfer functions.

Building on this work, the data collected will be used to develop predictive models for soil properties from pGRS measurements through the integration of machine learning approaches informed by soil process knowledge. This includes the development of an open-source conversion algorithm to translate pGRS signals into soil property estimates with quantified uncertainty, supporting reproducible, explainable, and transferable soil mapping frameworks for soil health assessment.

How to cite: Trust, B., Blackwell, M., Ansell, L., Collins, A., Mansfield, N., Rowntree, J., and Blake, W.: Environmental Controls on Portable Gamma Spectrometry for Soil Property Assessment: Influence of Land Use and Soil Type on a Farm Level, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22985, https://doi.org/10.5194/egusphere-egu26-22985, 2026.

EGU26-5750 | Orals | SSS10.9 | Highlight

Update on SHERPA, the first quantitative assessment of soil health at European scale considering soil genesis 

Christine Alewell, Surya Gupta, Miriam Gross-Schmölders, and Pasquale Borrelli

Soil health degradation is a major threat to European food security, biodiversity, and climate stability. While scientists have debated how to define soil health during recent decades, a quantifiable framework for monitoring, management, and policy remained lacking. We introduce SHERPA (Soil Health Evaluation, Rating Protocol, and Assessment) and present a first soil health assessment across Europe. All major soil degradation processes (with the exception of organic contamination) were scored and subtracted from the intrinsic soil health resulting in quantitative final scores. As reported before, cropland soils throughout Europe are highly degraded. Surprisingly, soil health of grasslands is also very negatively impacted. Soil erosion, nutrient surplus, and pesticide risk are largely driving poor soil health aligning with reported high biodiversity loss in agricultural land. Forest soils are also surprisingly low in health, mainly because of nitrogen surplus, reflecting documented widespread forest decline from nutrient imbalances. Interactive maps highlight specific threats to soil health across Europe, offering valuable insights for targeted action. SHERPA is able to quantify soil health across Europe. However, at the current state of data availability, soil health is likely to be overestimated. Monitoring data of soil structure, compaction, pesticide spread and, in forest ecosystems, disturbance of humus layer is urgently needed for final assessment of soil health.

The presentation will include the newest work on SHERPA including assessment and mapping of wetlands soils, the possibilities of including the SHERPA into the global soil security concept of the Aroura think tank, and developing SHERPA scores for bare and scarcely vegetated soils in nature conservation areas.

How to cite: Alewell, C., Gupta, S., Gross-Schmölders, M., and Borrelli, P.: Update on SHERPA, the first quantitative assessment of soil health at European scale considering soil genesis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5750, https://doi.org/10.5194/egusphere-egu26-5750, 2026.

EGU26-6789 | ECS | Posters on site | SSS10.9

Austrian NIR soil spectral library for soil health assessments 

Julia Fohrafellner, Maximilian Lippl, Armin Bajraktarevic, Andreas Baumgarten, Heide Spiegel, Robert Körner, and Taru Sandén

The rise in demand for soil data and information calls for quick and cost-effective methodologies to quantify soil properties. This is particularly important in the realm of restoring soil health in Europe. Near-infrared (NIR) spectroscopy has demonstrated the ability to predict specific soil properties with high accuracy whilst being less costly and time-consuming than traditional methods. To fill gaps in national spectroscopic soil data, we compiled the first Austrian NIR soil spectral library (680–2500 nm) based on legacy samples (n=2129), covering all environmental zones of Austria. We then employed partial least square regression (PLSR) modelling to test the usability of the dataset for soil health assessments at its current stage. Our analysis revealed that the application of the PLSR is not suitable for accurately estimating soil health indicators compared to routine laboratory analysis. Nevertheless, among the 14 soil properties tested, total nitrogen, CaCO3, soil organic carbon and clay exhibited moderate predictive accuracy (R2>0.7). Most importantly, the dataset containing sample meta-data (e.g., land use type, environmental zone or zip code), laboratory reference values and NIR spectra with 1 nm resolution can be used as a foundation for further spectral analysis and modelling. We make this work openly accessible to actively contribute to closing soil data gaps and promote the expansion of soil spectral libraries as a basis for soil health assessments.

How to cite: Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., Körner, R., and Sandén, T.: Austrian NIR soil spectral library for soil health assessments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6789, https://doi.org/10.5194/egusphere-egu26-6789, 2026.

EGU26-9837 | Orals | SSS10.9

How to deal with differences between soil classification systems? 

Kees Teuling, Tom Harkema, and Joost Cruijsen

Translating the Dutch national soil map to the international WRB (World Reference Base) classification.

The Dutch soil map is the most valuable source of nationwide high resolution soil information of the Netherlands. The map is classified using the Dutch classification system, which is specifically designed for Dutch soils and landscapes. This information is difficult to use for international soil communities and translating the map goes beyond linguistic translations or mapping a map unit to an international class. We created a translation from Dutch soil classes to international soil classes (WRB) where we estimated the certainty and spread of the class translation based on ~350.000 soil profile descriptions. The translated soil map is of a much higher resolution than the existing WRB map and the information on uncertainty can help the international soil communities understand the meaning behind the classes. We believe the method used in this research could help other countries translate their classification systems to, for example, WRB and help to harmonize fragmented soil data to create a better European soil map.

How to cite: Teuling, K., Harkema, T., and Cruijsen, J.: How to deal with differences between soil classification systems?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9837, https://doi.org/10.5194/egusphere-egu26-9837, 2026.

EGU26-10411 | Posters on site | SSS10.9

SHENA (Soil Health Network Austria) - Austria’s Integrated Pathway towards a harmonized, digital and future ‑ ready Soil Health Governance System 

Elisabeth Thompson, Katarina Stefaner, Theresa van Hoesel, Karolina Begusch - Pfefferkorn, and Andrea Spanischberger

Austria faces accelerating soil degradation driven by land take, erosion on agricultural land, declining soil organic matter, diffuse contamination and fragmented governance across federal, regional and municipal levels. Although Austria possesses extensive soil expertise, diverse monitoring initiatives and rich datasets, these resources remain dispersed across institutions and incompatible systems. The EU Soil Monitoring Law (SML) and the EU Soil Strategy for 2030 require Austria to make a transition from the fragmented landscape toward a harmonized, interoperable and policy‑relevant soil governance framework. The SHENA - Soil Health Network Austria - initiative provides a comprehensive national response by integrating governance, digital innovation, monitoring and capacity building into a unified soil‑health architecture.

The project establishes a national Soil Health Steering Committee representing all nine federal states and two ministries, creating an innovative cross‑sectoral governance structure for soil health. This committee coordinates institutional expertise from agencies, research institutions, agricultural chambers and regional authorities, ensuring strategic alignment and preparing Austria for EU‑level reporting obligations. SHENA simultaneously develops a digital Soil Knowledge and Networking Platform that consolidates at least ten existing databases (eBOD, BORIS, LUCASSA, ABOD.at and others), integrates 500+ resources and enables multi‑actor engagement through interactive tools, expert directories and knowledge exchange formats.

A central methodological contribution is the development of a harmonized soil monitoring roadmap that defines ten core indicators aligned with European Soil Data Centre (ESDAC), Copernicus and Soil Mission standards. This roadmap builds on different projects (e.g. SoMONA, Bosporus)and Austria’s existing GIS infrastructures, improving data accessibility from ~10% to 50% by 2029 and to 70% by 2034. It provides a structured pathway for integrating heterogeneous datasets, reducing redundancy and enabling consistent national reporting to the EU Soil Observatory.

To strengthen societal uptake, SHENA trains 120 Soil Ambassadors - municipal officers, farmers, educators, planners and soil entusiasts - who act as multipliers for soil literacy, sustainable land management and local implementation. Their outreach activities, combined with targeted policy engagement, contribute to reducing areas of poor soil health, improving habitat management across 200 ha and enhancing carbon sequestration capacities.

Finally, SHENA embeds Austria within a broader European knowledge ecosystem through seven bilateral workshops with Germany, Switzerland, Slovenia and the Czech Republic, culminating in a jointly endorsed position paper on cross‑border soil governance.

Together, these actions demonstrate how Austria can operationalize harmonized soil metrics, digital infrastructures and multi‑actor engagement to build a coherent, future‑oriented soil governance system aligned with EU ambitions.

How to cite: Thompson, E., Stefaner, K., van Hoesel, T., Begusch - Pfefferkorn, K., and Spanischberger, A.: SHENA (Soil Health Network Austria) - Austria’s Integrated Pathway towards a harmonized, digital and future ‑ ready Soil Health Governance System, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10411, https://doi.org/10.5194/egusphere-egu26-10411, 2026.

EGU26-10735 | Posters on site | SSS10.9

Soil Biochemical Indicators for Evaluating Urban Nature-Based Solutions: Insights from a Multi-City Study in Italy 

Cristina Macci, Eleonora Peruzzi, Andrea Scartazza, Serena Doni, Irene Rosellini, Grazia Masciandaro, and Francesca Vannucchi

The National Biodiversity Future Center (NBFC), created within Italy’s National Recovery and Resilience Plan and supported by EU Next Generation funding, is committed to advancing the conservation and sustainable management of Italian and Mediterranean biodiversity. A central mission of the NBFC is to foster the adoption of Nature-Based Solutions (NbS) and ecological restoration practices in both natural and urbanized landscapes, with a strong emphasis on improving soil health and enhancing ecosystem services.

Urbanization exerts significant pressure on soil ecosystems, compromising their ability to deliver essential services such as carbon sequestration, nutrient cycling, and biodiversity support. Nature-Based Solutions (NbS), including green infrastructures, are increasingly recognized as effective strategies to mitigate these impacts and enhance urban resilience. However, robust and scientifically validated tools for monitoring their effectiveness remain limited.

This study explores the potential of soil biochemical indicators, specifically stable isotope composition and enzyme activities, as sensitive metrics for evaluating soil health and NbS performance in urban environments. The approach was initially tested along an urban-to-natural gradient in Pisa and Livorno, where areas dominated by Quercus ilex L. served as reference sites. Results demonstrated that these indicators effectively detect alterations in soil functioning associated with urban pressure, confirming their diagnostic value.

Building on this validation, the methodology was extended to major Italian cities (Turin, Milan, Florence, Rome, Naples) to assess the capacity of different NbS to restore soil functionality and improve ecosystem services. Preliminary findings indicate that green infrastructures significantly enhance soil biochemical processes, particularly those linked to carbon and nutrient dynamics. These outcomes provide a scientific basis for integrating soil health indicators into urban planning and NbS design, reinforcing their role in promoting sustainability and resilience in Mediterranean cities.

 

How to cite: Macci, C., Peruzzi, E., Scartazza, A., Doni, S., Rosellini, I., Masciandaro, G., and Vannucchi, F.: Soil Biochemical Indicators for Evaluating Urban Nature-Based Solutions: Insights from a Multi-City Study in Italy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10735, https://doi.org/10.5194/egusphere-egu26-10735, 2026.

EGU26-12398 | Orals | SSS10.9

A conceptual framework to classify soil function evaluation methods and improve clarity and comparability. 

Philippe Lagacherie, Henri Lechevallier, and Alexandre Wadoux

Over the past decade, the scientific production on soil function evaluation has greatly increased. Numerous conceptual frameworks have been and continue to be used globally to assess and interpret soil functions. Among most recent ones are the soil health and the soil security frameworks. While this diversity reflects the dynamism of the community around these questions, it can also lead to confusion, particularly given the similarity of methods used to quantify soil functions.

These methods typically involve quantifying and eventually aggregating one or more soil indicators based on soil or environmental properties. However, some contextual and methodological elements, such as the depth under study or the type of properties considered can vary between studies and lead to different interpretation of indicators. Given the central role of indicators in quantifying soil functions, it is crucial to understand the information that they convey considering all these elements. For us, none of the existing frameworks is able to clearly differentiate all methods depending on the information carried by indicators.

Therefore, we developed a conceptual framework¹ capable of classifying soil function evaluation studies based on the information they produce, regardless of the initial framework used for indicator selection, interpretation, or result communication. It builds on the idea that different aspects of the same function can be quantified, namely soil function supply, soil dynamic capacity for the function, and soil inherent capacity, with variations depending on the type of properties used in the quantification process. Given that different stakeholders have distinct requirements for soil function evaluation, our approach facilitates the alignment of objectives (i.e. the information needed on soil functions) with the aspect of soil functions to be evaluated (i.e. the information produced during quantification). While our framework is not intended to replace existing conceptual frameworks-each of which may have different scopes and advantages-its systematic use in soil function evaluation studies to communicate the exact aspect of soil functions being quantified could significantly enhance the clarity, comparability, and understanding of the information generated across different research efforts.

 

 

¹Lechevallier, H., Lagacherie, P., & Wadoux, A. M. J.-C. (2025). A conceptual framework for soil function evaluation : Towards a common base. Geoderma, 461, 117476. https://doi.org/10.1016/j.geoderma.2025.117476

How to cite: Lagacherie, P., Lechevallier, H., and Wadoux, A.: A conceptual framework to classify soil function evaluation methods and improve clarity and comparability., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12398, https://doi.org/10.5194/egusphere-egu26-12398, 2026.

EGU26-14590 | ECS | Posters on site | SSS10.9

Soil Organic Carbon and Nitrogen in Mediterranean Soils: A Systematic Mapping of Research from 1958 to 2025 

Ahlem Tlili, Asma Yahyaoui, Imene Dridi, Nabila Halouani, Elisabet Aranda, Ibrahim Ortas, Sypros Fountas, Hassan El Mayad, Sergio Saia, and Rim Ben Amor

Soil organic carbon (SOC) and nitrogen (N) are key indicators of soil quality, ecosystem functioning, and climate change mitigation in Mediterranean environments, which are particularly vulnerable to land degradation and climate variability. Despite extensive research efforts, evidence on SOC and N in Mediterranean soils remains fragmented across regions, land uses, and methodological approaches. 

This study presents a systematic map of international research on SOC and N in the Mediterranean Basin published between 1958 and 2025, with the objective of identifying research trends, thematic emphases, and knowledge gaps. A comprehensive literature search was conducted using Scopus and Web of Science databases. Search strings were developed iteratively using Boolean operators to maximize coverage of soil traits, soil management, land use, and soil quality, combined with geographic keywords representing Mediterranean countries and regions. All retrieved records were exported, merged, and screened after duplicates were removed. Study selection was carried out collaboratively by members of the SHARInG-MeD consortium, following predefined inclusion and exclusion criteria aligned with the project objectives.

A total of 60,822 records were retrieved. After removal of 16,553 duplicates (37.4%), 44,269 publications were screened. Of these, 18,012 studies (41%) met the objectives of the SHARInG-MeD project, and 5,373 publications specifically addressed soil organic carbon and nitrogen and were included in this systematic map. The mapped literature shows a strong temporal increase in SOC and N research since 1958, with pronounced geographical imbalances favoring northern Mediterranean countries. Agricultural land use, soil management practices, and land-use change emerged as dominant research themes, while long-term experiments, paired-site approaches, and harmonized analytical methodologies remain underrepresented.

This systematic map represents the most comprehensive synthesis to date of SOC and nitrogen research in Mediterranean soils and provides a robust evidence base for future meta-analyses, methodological harmonization, and evidence-based soil management and policy development at the Mediterranean scale.

Funding : The present work was funded by the research and innovation action “Soil Health and Agriculture Resilience through an Integrated Geographical information systems of Mediterranean Drylands” (SHARInG-MeD) funded by the “Partnership for Research & Innovation in the Mediterranean Area” (PRIMA Foundation) under the grant agreement number 2211.

How to cite: Tlili, A., Yahyaoui, A., Dridi, I., Halouani, N., Aranda, E., Ortas, I., Fountas, S., El Mayad, H., Saia, S., and Ben Amor, R.: Soil Organic Carbon and Nitrogen in Mediterranean Soils: A Systematic Mapping of Research from 1958 to 2025, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14590, https://doi.org/10.5194/egusphere-egu26-14590, 2026.

EGU26-14721 | ECS | Posters on site | SSS10.9

Assessing soil quality of Ramli agricultural plots (northern Tunisia): a FAO globally important agricultural heritage system  

Asma Yahyaoui, Nour Mansour, Ahlem Tlili, Nabila Halouani, Imene Dridi, and Rim Ben Amor

The Ramli is an agricultural practice involving the cultivation of crops on sandy substrates in the lagoons of the Ghar El Melh area in northern Tunisia. These unique 17th-century gardens were created due to a lack of cultivable land and fresh water. The Ramli system at this site has been recognised by the Food and Agriculture Organization of the United Nations (FAO) as a Globally Important Agricultural Heritage System (GIAHS) because of its unique traditional practices, which have been adapted to sandy and wetland environments. This agricultural practice involves growing crops in sandy soil. The plant roots are supplied with rainwater that floats on the surface of seawater and is moved by the tides. This agro-environmental system allows crops to be grown all year round, even during periods of drought, without the need for an artificial water supply. However, this site is affected by climate change, rapid urban growth, and intensive human activity, which have damaged the ecosystem and reduced agricultural production. This study aims to determine the physicochemical properties, fertility status and elemental composition of agricultural soils in Ramli using laser-induced breakdown spectroscopy (LIBS). The chemical and fertility indicators were determined, including organic matter, cation exchange capacity (CEC), the C/N ratio, pH, total and active carbonates, electrical conductivity, and the concentrations of exchangeable cations (Sodium, potassium, Magnesium and Calcium) and micronutrients (Fe, bromine and Chloride). The results of soil analysis of Ramli crops show that the soil texture is silty-sandy, with a predominance of sand. The soils are alkaline, with levels ranging from 7.88 to 8.26. Salinity values range from 0.273 to 1.68 mS/cm, with higher values localised in the southwest and northeast zones. This indicates the influence of low rainfall and weak communication between the lagoon and the sebkha, promoting the retention of soluble salts. The cation exchange capacity (CEC) values range between 3.54 and 9.55 mS/cm, and the C/N ratio in the study area varies between 7.02 and 10.01. The percentage of organic matter is less than 14%. Nutrient analysis of Sodium (g/kg), Chloride (g/kg), Potassium (g/kg), Magnesium (g/kg), Calcium (g/kg), Phosphorus (mg/kg), and Total Kjeldahl Nitrogen (%) shows that the plots in the study area are generally poor in these elements. The presence of bromine (Br) in soil samples can indicate pesticide or herbicide contamination. Indeed, the Ramli soils are associated with low water retention and limited fertility, making them vulnerable to drought and nutrient deficiencies. These results highlight the importance of adopting appropriate agricultural practices to ensure the sustainability of agriculture in the region.

Funding

The present work was funded by the research and innovation action “Soil Health and Agriculture Resilience through an Integrated Geographical information systems of Mediterranean Drylands” (SHARInG-MeD) funded by the “Partnership for Research & Innovation in the Mediterranean Area” (PRIMA Foundation) under the grant agreement number 2211.

How to cite: Yahyaoui, A., Mansour, N., Tlili, A., Halouani, N., Dridi, I., and Ben Amor, R.: Assessing soil quality of Ramli agricultural plots (northern Tunisia): a FAO globally important agricultural heritage system , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14721, https://doi.org/10.5194/egusphere-egu26-14721, 2026.

EGU26-14958 | ECS | Posters on site | SSS10.9

Title: Soil-Parent Material and Land Use Effects on Sub-Soil Properties in Northern Tunisia: Evidence from the Tunisian SUS-SOIL Living Lab 

Farah Mlaiki, Ahlem Tlili, Walid Chmingui, Rim Ben Amor, Nabila Halouani, María Rosa Mosquera-Losada, and Imene Dridi

Soil is a vital component of the Earth, providing essential ecosystem services related to biodiversity, plant growth, agricultural production, carbon sequestration, and environmental quality. However, geodiversity, including geology, geomorphology, and sediments, remains underrepresented in conventional ecosystem service frameworks. The SUS-SOIL is a 4-year project, develops 15 Subsoil-Living Labs, including Tunisia. Aims to apply a harmonized soil sampling methodology to assess how parent material and land use influence soil properties, aiming to disentangle geological controls from land-use and management effects across contrasting lithological settings.

In Tunisia, study sites are located in the north where agricultural, forest, and urban land uses occur in close spatial proximity under comparable topographic conditions. Sites were selected on Oligocene, Mio-Pliocene, and Quaternary parent materials, enabling assessment of lithological controls on soil development in a Mediterranean semi-arid to sub-humid context. Agricultural systems include annual crops, permanent crops, and grasslands, while forest sites comprise natural and managed coniferous and broadleaved stands, complemented by urban soils from parks and home gardens.

Soil sampling is conducted to a maximum depth of 1 m using a composite protocol that distinguishes the plow layer (0-20 cm), consistent with the EU-LUCAS framework, from underlying organic and mineral subsoil horizons. The methodology integrates physico-chemical analyses (texture, bulk density, compaction, water retention, pH, electrical conductivity, cation exchange capacity, carbon, nitrogen, and phosphorus) with microbiological indicators of soil functioning and ecotoxicology.

In Tunisia, 120 agricultural sites, 72 forest sites, and 12 urban sites were selected based on three main parent rock types to ensure geological diversity and comparability. Additional criteria included the close spatial proximity of contrasting land uses under identical topography, site accessibility, and the long-term availability of land for experiments investigating subsoil impacts on crop production.

Recent investigations in northwest Tunisia demonstrate that parent material and land use strongly control soil physical and chemical properties. Detailed profiling of representative soils-Luvisols, Cambisols, Vertisols, and Fluvisols-across contrasting lithologies highlights substantial variation in texture, carbonate content, organic matter distribution, and nutrient dynamics linked to geology and land use. For instance, Luvisols and Fluvisols developed on different parent rocks exhibit distinct horizon characteristics and fertility potentials. Alluvial Fluvisols show higher natural fertility but require careful water management, while clay-rich Luvisols are more susceptible to erosion due to their structure and lower organic inputs under certain uses. Complementary micronutrient analyses indicate that boron distribution in forest and agricultural soils varies with texture, organic matter, and depth, with forest soils showing higher available B in deeper layers, while agricultural soils derived from sedimentary rocks exhibit higher total B content.

The Tunisian case study highlights the importance of understanding soil-parent material interactions in the southern Mediterranean. It provides guidance for developing site-specific soil management strategies under increasing climatic pressures.

Funding: This study was supported by the SUS-SOILproject funded by the European Union GA 101157560. Views and opinions expressed are of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

How to cite: Mlaiki, F., Tlili, A., Chmingui, W., Ben Amor, R., Halouani, N., Mosquera-Losada, M. R., and Dridi, I.: Title: Soil-Parent Material and Land Use Effects on Sub-Soil Properties in Northern Tunisia: Evidence from the Tunisian SUS-SOIL Living Lab, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14958, https://doi.org/10.5194/egusphere-egu26-14958, 2026.

EGU26-15539 | Posters on site | SSS10.9

Soil hydraulic properties deduced from infiltration measurements – effect of land use and soil texture 

Hsiang-Ju Fan, Fatemeh Hateffard, Thomas Gumbricht, Gustaf Hugelius, and Peter Lehmann

Soil hydraulic properties play a fundamental role in regulating water flow, solute transport, and overall ecosystem functioning, and are therefore key indicators of soil physical health. Because lab-based measurements often neglect the role of soil structures on water flow and retention, soil hydraulic properties were deduced from infiltration measurements in the field using the Beerkan method. The Beerkan method offers practical advantages, including simple instrumentation, low water requirements, and relatively short measurement times compared with other infiltration techniques. To test its applicability for different soil conditions and land management types, infiltration measurements were conducted for soils of an agricultural research station in Sweden and in dry coniferous forests in Switzerland. The infiltration data were combined with soil texture and bulk density measurements to estimate saturated hydraulic conductivity and soil water retention. For the agricultural soils, the comparison of the field-based measurements with pedotransfer functions allowed to quantify structural effects. The infiltration experiments in the forest revealed the seasonal changes of hydraulic properties (and soil health status) as a result of limited wettability. This study evaluates both its strengths and limitations of the Beerkan method and provides guidance for its broader application across Europe and to evaluate the influence of land use and soil texture on soil structural development.

How to cite: Fan, H.-J., Hateffard, F., Gumbricht, T., Hugelius, G., and Lehmann, P.: Soil hydraulic properties deduced from infiltration measurements – effect of land use and soil texture, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15539, https://doi.org/10.5194/egusphere-egu26-15539, 2026.

To anchor the application of indicators for soil health monitoring in teaching, it is important that the students learn to measure and interpret indicator values. However, the large number of indicators can be overwhelming for students without a strong background in soil science. To address this challenge and to provide guidelines and motivation for the use of indicators, we developed a teaching framework that links physical soil health indicators to analogous functions in the human health domain. This approach was implemented in a block course consisting of 6 afternoons, in which students were tasked with selecting an appropriate set of indicators to assess the physical health of a specific soil profile. In the first part of the course, 18 physical soil health indicators were introduced alongside their analogues in human body functions, and field methods for indicator measurement were explained. In the second part, students designed a field experiment and monitoring set-up to quantify soil health status based on a selected indicator set. In the final part, experimental results were analysed, interpreted, and presented. The human health analogy provided an intuitive framework that supported indicator selection, interpretation, and integration, helping students to understand and quantify physical soil health as a coherent system rather than a collection of isolated indicator measurements.

How to cite: Lehmann, P.: Teaching Physical Soil Health Indicators Using Analogies from Human Health, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15876, https://doi.org/10.5194/egusphere-egu26-15876, 2026.

EGU26-16358 | ECS | Posters on site | SSS10.9

Dimensionality reduction of soil vis–NIR spectra: implications for soil health assessment and mapping 

Sarem Norouzi, Lis Wollesen de Jonge, Per Moldrup, Mogens Humlekrog Greve, and Sebastian Gutierrez

The measured soil spectrum in the visible and near-infrared (vis–NIR) range contains information on various soil physical properties, as well as mineralogical and chemical composition. Therefore, this approach can serve as a rapid and cost-effective alternative for assessing soil health. However, the raw soil spectrum is high-dimensional and less suitable for modeling purposes. In this study, we compared the performance of four methods, including PCA, kernel PCA (KPCA), autoencoders (AE), and convolutional autoencoders (CNN-AE), based on their reconstruction error, which directly measures information loss during dimensionality reduction. We used a comprehensive soil dataset from Denmark comprising 7,009 vis–NIR spectra covering a wide range of land uses and soil types. Our analysis shows that reconstruction error decreases as the number of latent variables (LVs) increases, as expected, due to the greater capacity to preserve information. Notably, across all latent dimensionalities, nonlinear methods consistently outperformed PCA. At low latent dimensionalities (5–10 LVs), nonlinear methods achieved approximately 45–55% lower reconstruction error than PCA. As the number of LVs increases, this performance gap decreases. However, PCA still consistently shows lower performance than the other methods. Given the strong representation of soil chemical, physical, and hydrological properties in the spectra, we mapped the latent variables across Denmark using diverse spatial predictors. The mapped latent variables captured complex, nonlinear soil–landscape relationships that reflect key mineral and organic soil components. Overall, our results suggest that spectral representations could serve as a scalable approach to support national soil mapping.

How to cite: Norouzi, S., de Jonge, L. W., Moldrup, P., Greve, M. H., and Gutierrez, S.: Dimensionality reduction of soil vis–NIR spectra: implications for soil health assessment and mapping, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16358, https://doi.org/10.5194/egusphere-egu26-16358, 2026.

EGU26-17194 | Orals | SSS10.9

Advancing Soil Health in Practice: Monitoring and Awareness through Agroecological Living Labs 

S. Franz Bender, Lino Ambrosini, and Anna Muntwyler

Food production is a major contributor to environmental degradation and a key driver of soil health decline across Europe, where an estimated 89% of agricultural soils show signs of degradation (EUSO, 2025). Despite growing awareness, progress toward sustainable soil management remains limited due to uneven access to knowledge, limited capacities, insufficient incentives for land managers and fragmented action across the food system. Policymakers, administrations, advisors, retailers, and consumers often operate in isolation, while soil monitoring remains complex and poorly adapted to real-world farming conditions.

Although many scientific solutions for sustainable soil management already exist, conventional research often addresses isolated system components. In contrast, food systems are highly complex, shaped by  strong interactions between ecological, social, economic, and political dimensions. Solutions that work in practice therefore require collaborative spaces where science and stakeholders jointly develop, test, and adapt innovations under real-life conditions. Living Labs provide such spaces.

Living Labs are collaborative, real-world experimental hubs where researchers, farmers, and other stakeholders co-create innovations toward shared objectives. Through co-creation and co-learning, they enhance soil knowledge, improve understanding of soil processes, and motivate food system actors to actively contribute to soil health improvements. By embedding experimentation in operational contexts, Living Labs can support agroecological transitions and support tangible impacts on soil health and governance.

Within this context, the SUNRISE project establishes agroecological Living Labs across ten European countries, engaging multi-actor teams of farmers, advisors, value-chain actors, NGOs, consumer organizations, policymakers, and researchers. A central innovation is an integrated soil health monitoring framework combining a citizen science smartphone app for soil-health assessments, laboratory soil analyses and an agroecological management questionnaire. Together, these tools capture complementary physical, chemical, biological, social, ecological, and economic dimensions of soil health in real-life farming settings and allow monitoring the effects of agroecological innovations across sustainability dimensions.

Applied across 75 farms and 150 plots, this harmonized monitoring approach enables farmers to assess management changes relative to control plots, strengthens soil literacy, and translates complex data into actionable, locally relevant guidance. By validating field-based indicators against laboratory measurements and setting soil health data into a wider agroecological context SUNRISE demonstrates a robust and holistic soil-health assessment framework that is scientifically sound, practically relevant, and capable of empowering land managers and food system actors to sustain soil health improvements beyond the project duration.

European Commission (2025) EUSO Soil Degradation Dashboard. Available at:https://esdac.jrc.ec.europa.eu/esdacviewer/euso-dashboard/ (Accessed: 08 June 2025).

How to cite: Bender, S. F., Ambrosini, L., and Muntwyler, A.: Advancing Soil Health in Practice: Monitoring and Awareness through Agroecological Living Labs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17194, https://doi.org/10.5194/egusphere-egu26-17194, 2026.

EGU26-17340 | ECS | Orals | SSS10.9

Feasibility of vis-NIR spectroscopy for estimating thermally defined soil organic carbon fractions 

Marzieh Zaresourmanabad, Per Moldrup, Maria Knadel, Gry Lyngsie, Deividas Mikstas, Charles Pesch, Mogens Humlekrog Greve, and Lis Wollesen de Jonge

Soil organic carbon (SOC) is an important soil health indicator. The SOC directly influences major soil functions such as nutrient cycling, fertility, soil structure, and water and air regulation. As a result, it is important to understand both the soil’s storage capacity and the stability of this carbon. Several methods have been developed to assess distinct SOC pools based on different physical, biological, and thermal definitions. Rock Eval 6 thermal analysis partitions SOC into four operational fractions (S1 to S4), which serve as proxies for organic compounds of increasing thermal stability. Thus is S1 the most labile and easily decomposable, S2 and S3 reflecting progressively more stable organic carbon pools, and the residual refractory carbon measured as S4. Although Rock Eval 6 provides accurate and reproducible estimates of thermally defined SOC fractions, the high initial investment cost and low analytical throughput limit its application for large scale monitoring. Despite the promising application of soil diffuse reflectance spectroscopy for predicting various soil properties, a comprehensive evaluation of this method for estimating Rock Eval 6 derived SOC fractions is lacking. In this presentation, we evaluate the feasibility of vis-NIR spectroscopy as a non-destructive and cost-effective alternative method to predict Rock Eval 6 SOC fractions (S1 to S4). A total of 131 soil samples were collected from lowland areas across Denmark under different land-use types. Partial least squares regression and interval partial least squares regression were applied to relate soil reflectance spectra measured between 400 and 2500 nm to thermally defined SOC fractions. Our results indicate that vis-NIR spectroscopy can reliably estimate thermally defined SOC fractions derived from Rock Eval 6 analysis, with R² values of 0.79, 0.81, 0.78, and 0.53 for S1, S2, S3 and S4, respectively. Among the individual fractions, S2 was estimated with the highest accuracy, while S1 and S3 showed moderate predictive performance and S4 exhibited lower accuracy. Based on these statistical parameters, we conclude that vis-NIR spectroscopy is a feasible and rapid tool for estimating thermally defined SOC fractions.

How to cite: Zaresourmanabad, M., Moldrup, P., Knadel, M., Lyngsie, G., Mikstas, D., Pesch, C., Greve, M. H., and de Jonge, L. W.: Feasibility of vis-NIR spectroscopy for estimating thermally defined soil organic carbon fractions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17340, https://doi.org/10.5194/egusphere-egu26-17340, 2026.

EGU26-18637 | ECS | Posters on site | SSS10.9

Global patterns reveal a non-linear relationship between soil pH and salinity 

Mohammad Aziz Zarif, David A. Robinson, Inma Lebron, Panos Panagos, and Nima Shokri

Soil pH is widely used as an indicator of soil health (Lebron et al., 2025) because it regulates various chemicals, physical, and biological processes. Soil electrical conductivity (EC), a proxy for soil salinity (Hassani et al., 2024; Shokri et al., 2025), is often analysed alongside soil pH to characterise soil chemical conditions. Although studies suggest a strong correlation between soil pH and EC, their relationship has rarely been quantified at continental or global scales. In this study, we applied a Generalized Additive Model (GAM) to globally investigate the relationship between soil pH, soil EC, and a set of environmental covariates representing soil texture, climate, terrain, and vegetation. Soil pH observations were obtained from the WoSIS and LUCAS databases. Our results suggest that soil EC is the most influential predictor (16.00%) for soil pH predictions, followed by soil water balance (14.00%), NDVI (12.00%), bulk density (10.00%), and minimum temperature (10.00%). Our analysis also shows that the relationship between soil pH and EC was distinctly non-linear. Soil pH increased from 6.59 to 7.29 as EC rose from 0 to 0.6 dS/m, then declined gradually until EC reached approximately 32 dS/m, beyond which pH stabilised near 6.71. Overall, the identified non-linear pH and salinity relationship provides new insight into the chemical constraints shaping soil conditions at continental to global scales.

How to cite: Zarif, M. A., Robinson, D. A., Lebron, I., Panagos, P., and Shokri, N.: Global patterns reveal a non-linear relationship between soil pH and salinity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18637, https://doi.org/10.5194/egusphere-egu26-18637, 2026.

EGU26-18699 | Orals | SSS10.9

Participatory soil health assessment: exploring soil colour as a predictor of soil organic carbon 

Lucie Buchi, Marcos Paradelo Perez, Fraukje Steffen, Aman Kanwar, Milenka Rojas Ramirez, Alastair Leake, and Peter Hoebe

Soil organic carbon (SOC) is widely regarded as a central indicator in most soil health assessment frameworks. Despite advances in SOC measurement and monitoring, these methods are not always well understood or accessible to farmers and other stakeholders, which can hinder the adoption of sustainable practices aimed at increasing SOC and improving soil health.

The aim of this project was to investigate how in situ soil assessment, conducted through a participatory approach with farmers, can complement or partially substitute laboratory analyses in establishing robust and reliable baselines for SOC.

Nineteen farmers across the UK assessed soil colour, texture, earthworm abundance, and water infiltration across five fields each, and collected soil samples for laboratory analysis. Samples were analysed for soil organic matter or carbon by a certified commercial laboratory, as well as at university and secondary school facilities, resulting in four independent SOC assessments per sample. In addition, image-based analysis of dry soil colour, and aggregate stability using the SLAKES app were conducted in the laboratory.

While the different laboratory methods were strongly correlated with one another, they showed substantial differences in absolute SOC values. At the individual farm level, these discrepancies could lead to markedly different interpretations of the effectiveness of soil-improving practices. Results showed high variability in farmer-based colour assessments across the 95 samples and moderate correlation with laboratory-measured SOC and other indicators. We will present the best-performing models for SOC prediction using combined farm and laboratory datasets, highlighting soil colour as a low-cost, rapid indicator with potential utility for farmers and other stakeholders.

Overall, this study highlights the inherent variability in SOC assessment and underscores the importance of repeated sampling to establish robust baselines for evaluating SOC trends over time.

How to cite: Buchi, L., Paradelo Perez, M., Steffen, F., Kanwar, A., Rojas Ramirez, M., Leake, A., and Hoebe, P.: Participatory soil health assessment: exploring soil colour as a predictor of soil organic carbon, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18699, https://doi.org/10.5194/egusphere-egu26-18699, 2026.

EGU26-18996 | ECS | Posters on site | SSS10.9

A harmonised long-term and multi-site earthworm database from Estonia for boreal cropland and grassland soil assessments 

Kadri Konsap, Merit Sutri, Annely Kuu, Jordi Escuer-Gatius, Mari Ivask, and Merrit Shanskiy

Earthworms, among other soil organisms, play a role in integrating various soil conditions and the impact of management practices. Although they are underrepresented in harmonised soil monitoring, they are valuable indicators of soil quality across different agricultural land uses. To connect soil biological diversity and abundance with soil quality in a consistent way, it requires long-term, standardized, and reusable datasets that are both machine-readable and compatible across different systems. 

We introduce a harmonised earthworm database from Estonia that supports soil health assessment across croplands and grasslands in the Boreal region. The database compiles data from national survey programs and research projects conducted between 1995 and 2022, containing 1292 sampling points from 259 farmer-managed fields. Earthworms were sampled mainly in autumn and identified as 12 species representing three different ecological groups. The dataset includes the abundance of adults and juveniles, diversity, biomass, and individual mass, along with soil properties, soil types, textures, land-use categories, cropping systems, and tillage practices. 

Legacy datasets were integrated by harmonising methods, cleaning data, and standardising variables with the documentation of sampling designs, analytical methods, and metadata. The database is being prepared for open publication under FAIR principles, with machine-readable formats and ongoing development of a data management plan and DOI assignment. 

The first research based on this dataset indicated that land use is a primary factor structuring earthworm community composition, whereas soil properties regulate earthworm abundance [1]. This database provides a foundation for future soil biodiversity research under changing land use. 

Reference:  

[1] Sutri M et al. (2025). Earthworm community structure under different land-use systems. Applied Soil Ecology, 211, 106151. 

How to cite: Konsap, K., Sutri, M., Kuu, A., Escuer-Gatius, J., Ivask, M., and Shanskiy, M.: A harmonised long-term and multi-site earthworm database from Estonia for boreal cropland and grassland soil assessments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18996, https://doi.org/10.5194/egusphere-egu26-18996, 2026.

EGU26-20839 | ECS | Orals | SSS10.9

Mineralogical controls on soil health indicators: insights from Scottish national soil survey data 

Urmi Ghosh, Nia Gray-Wannell, Ernest Afriyie, Nikki Baggaley, Eric Paterson, and Stephen Hillier

Soil health indicators such as bulk density, water retention, soil carbon stability, cation exchange capacity (CEC) etc. are widely used to assess soil functioning, fertility, and resilience, yet they are often interpreted using empirical proxies such as particle-size clay content. However, many of these indicators are fundamentally controlled by soil mineralogy, as different clay minerals and associated oxides exhibit contrasting surface charge properties, reactivity, and sorption behaviour. Incorporating mineralogical information, therefore, has the potential to improve both the predictive power and interpretability of soil health indicators.

In this study, we use data from the National Soil Inventory of Scotland (NSIS2) to investigate how soil mineralogy influences two key functional indicators: soil carbon stability and CEC. Soil carbon degradation is assessed using the depth-related enrichment factor (ε), derived from δ¹³C profiles and commonly interpreted as a proxy for decomposition intensity. Statistical analyses (Pearson correlation and principal component analysis) were applied to mineralogical data from arable and grassland soils, alongside land use and pH. Our results show that soils enriched in more reactive phyllosilicates (including smectite, illite, and mixed-layer illite/smectite) are associated with lower ε values, indicating reduced apparent carbon degradation and enhanced stabilisation. In contrast, soils dominated by more crystalline, less reactive mineral assemblages exhibit higher ε values. We also demonstrate that predictive models of CEC are significantly improved when mineralogical information is included, compared with models based on particle-size clay and carbon content alone. This highlights the limitations of relying solely on texture-based proxies and underscores the mechanistic role of mineralogy in governing soil properties.

These findings demonstrate that soil mineralogy provides a unifying framework for interpreting multiple soil health indicators (e.g., carbon stability and CEC). Explicitly incorporating mineralogical information into soil monitoring and modelling frameworks can strengthen soil health assessments by moving from descriptive indicators toward mechanistically informed metrics. Further work is needed to refine mineralogical characterisation in organic-rich soils and to support the routine integration of mineralogy into large-scale soil monitoring programmes.

How to cite: Ghosh, U., Gray-Wannell, N., Afriyie, E., Baggaley, N., Paterson, E., and Hillier, S.: Mineralogical controls on soil health indicators: insights from Scottish national soil survey data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20839, https://doi.org/10.5194/egusphere-egu26-20839, 2026.

EGU26-21530 | Orals | SSS10.9

The Italian Soil Health Database supporting a national soil monitoring network & data elaboration 

Giovanni L'Abate, Roberto Barbetti, Maria Fantappiè, Rosario Napoli, Carlos Lozano Fondón, Andrea Lachi, Elena Tondini, Giuseppe Corti, and Claudia Cagnarini

The extensive body of knowledge on Italian soils, derived from decades of pedological surveys and targeted environmental monitoring programmes at both national and local scales, represents a valuable asset for assessing soil health across different ecosystems and for analysing its temporal dynamics. The National Soil Health Database (BNSS), developed within the framework of the Integrated Monitoring System (SIM) under the National Recovery and Resilience Plan, aims to integrate legacy pedological datasets with data from a new nationwide survey campaign (1,500 new soil profiles). This initiative supports the systematic integration of soil monitoring data, with a particular focus on contamination and soil fauna indicators, and the production of a new national soil map at higher spatial resolution (1:100.000 scale). The map development requires the integration of both cartographic and digital maps, legacy soil observations collected through national, regional campaigns, or research institutions.  

The INSPIRE Soil data model has been extended to incorporate the EAGLE framework for land use, land cover and land management, as well as detailed information on sampling designs, sample handling procedures (transport and storage), and quantitative estimates of uncertainty measurement. The associated semantic framework has been partially developed de novo, relying where possible on international or national controlled lists or vocabularies and implemented through codelists. The reference technical documentation for a national harmonized soil survey was updated, and a dedicated Soil survey App & Management portal developed.  

The BNSS can facilitate the creation of a community of soil stakeholders from the national to the local levels and support participation in international initiatives for data standardization, harmonization, and sharing. 

How to cite: L'Abate, G., Barbetti, R., Fantappiè, M., Napoli, R., Lozano Fondón, C., Lachi, A., Tondini, E., Corti, G., and Cagnarini, C.: The Italian Soil Health Database supporting a national soil monitoring network & data elaboration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21530, https://doi.org/10.5194/egusphere-egu26-21530, 2026.

EGU26-21880 | Orals | SSS10.9

Soil multifunctionality assessment in Grenoble Alpes metropolis using the MUSE method for soil health integration in the planning process 

Amazigh Ouaksel, Fabien Prezeau, Yann Y. Kohler, Virginie Derycke, Corinne Merly, Manon Martin, and Cécile Le Guern

Soil multifunctionality reflects the capacity of the soil to provide multiple ecological functions and ecosystem services (Garland et al., 2021). It is jointly determined by biotic and abiotic factors (Y. Shi et al., 2025). Soil health is known as the continued capacity of soil to function as a vital living system within an ecosystem and land-use boundaries (Laishram et al., 2012). Recognizing this vital role, soil health has become a key parameter to assess, and several methods and tools have been developed for this purpose.

 The MUSE method - originally a French acronym for Method for the Evaluation of Soil Multifunctionality - is a Digital Soil Mapping (DSM) approach that assesses four soil ecological functions: carbon storage, biodiversity storage, infiltration capacity, and agronomic potential (Branchu et al., 2021) based on publicly available datasets of soil properties. These biological, chemical and physical functions are assessed individually and in combination through a scoring system that enables the spatialization of each ecological function and of soil multifunctionality.

The SPADES (Spatial Planning and Design with Soil) project aims to facilitate the integration of soil in spatial planning and design. By promoting soil literacy and gathering adaptable tools, methods and instruments among the countries involved in the project, SPADES is putting soil health at the heart of planning for the benefit of current and future generations. Grenoble-Alpes Metropolis (GAM) is one of 17 SPADES research pilots involved in the co-creation process to learn, develop and test transferable results - recommendations regarding soil health integration in spatial planning and design.

GAM is experiencing urban sprawl, habitat fragmentation, and soil health degradation due to construction, infrastructure development, and intensive land use. Soil sealing and compaction are common in urban and peri-urban areas, while agricultural soils face risks of erosion and land take. These trends threaten the ecological functions and ecosystems services provided by soils, like supporting biomass and biodiversity, regulating the water cycle and climate. While the region has environmental ambitions, integrating soil data and soil health into spatial planning frameworks remains a complex task. Local planning documents lack detailed information, limiting the capacity of planners to make informed, soil-sensitive decisions.

Within the framework of SPADES project, the MUSE method is applied at GAM in order to (ii) assess soil multifunctionality and support soil-informed land-use planning. The original method and some adaptations are tested to showcase the possibilities offered and identify the most adapted versions for integration of the resulting maps in the planning documents and  help integrating soil health into decision-making processes. The approach seeks to guide soil management practices that preserve soil health and functions, improve soil quality, and promote sustainable land use. (ii) Within the context of modelling approaches to bridge the scale gap between point measurements and Pan-European monitoring, the study evaluates the MUSE method’s interoperability across diverse contexts, identifies and addresses barriers to its transposability, and tackles key challenges related to MUSE development and operationalization, including data availability, accuracy, reliability, practical usefulness, interpretability, and the scales “local versus global” transferability issue.

 

How to cite: Ouaksel, A., Prezeau, F., Y. Kohler, Y., Derycke, V., Merly, C., Martin, M., and Le Guern, C.: Soil multifunctionality assessment in Grenoble Alpes metropolis using the MUSE method for soil health integration in the planning process, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21880, https://doi.org/10.5194/egusphere-egu26-21880, 2026.

EGU26-21896 | Orals | SSS10.9

 A Standards-Based Soil Information System Architecture for Soil Health Indicator Computation and Data Interoperability in the SOILS4MED project  

Roberto Demontis, Eva Lorrai, Laura Muscas, Piergiorgio Palla, and Claudio Zucca

A Soil Information System (SIS) is a comprehensive information framework developed to support the collection, storage, analysis, management, and dissemination of soil-related data. Despite significant technological advances over the last decade, many regions – specifically the Mediterranean, Near East, and North Africa – still rely on non-digital soil records, which significantly limits their accessibility and usability.

Enhancing the availability and accessibility of soil data is therefore essential for effectively assessing and monitoring soil health and for promoting sustainable soil management practices across the Mediterranean region.

In this context, the PRIMA-funded SOILS4MED project aims to assess soil health and develop data systems that support sustainable soil management. The project will deploy a network of country-based soil information systems based on a harmonized data model aligned with the World Reference Base for Soil Resources (WRB 2022), other initiatives, such as Soil4Africa, and notions or contents that have been designed/conceived by the project partners.

The objective of this network is to strengthen interoperability, improve data management and foster the effective use of soil information throughout the region.

The SIS platform developed adopts an Object-Relational Mapping methodology within a GeoNode-based architecture, an open-source geospatial content management framework that integrates advanced WebGIS functionalities, fully compliant with Open Geospatial Consortium standards, ensuring API interoperability according to the ISO 28258 soil data exchange protocol.       

The platform architecture supports automatic computation of selected soil health indicators based on monitoring data and the application of data interpolation techniques. In addition, it allows the calculation of user-defined soil indicators using the data available within the system.

How to cite: Demontis, R., Lorrai, E., Muscas, L., Palla, P., and Zucca, C.:  A Standards-Based Soil Information System Architecture for Soil Health Indicator Computation and Data Interoperability in the SOILS4MED project , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21896, https://doi.org/10.5194/egusphere-egu26-21896, 2026.

Reliable soil moisture estimation is challenged by sparse in-situ networks, inconsistencies across satellite products, and structural limitations in simplified land-surface models. This study develops a machine learning assisted calibration framework for pyWBM, a Python implementation of the University of New Hampshire Water Balance Model, to generate improved historical reconstructions and ensemble projections of root-zone soil moisture for counties across Illinois. We integrate in-situ observations from nine Illinois State Water Survey stations with satellite and reanalysis soil moisture estimates from Soil Moisture Active Passive Level 4 Carbon Product Version 7 (SMAP L4C Version 7) and North American Land Data Assimilation System Phase 2 (NLDAS-2) model outputs (VIC, NOAH, MOSAIC). Meteorological forcing is obtained from Gridded Surface Meteorological Dataset (GRIDMET) for calibration and Localized Constructed Analogs Version 2 (LOCA2) for future projections. Calibration targets multiple key parameters that control storage dynamics and partitioning processes including available water capacity, wilting point, drying coefficient, runoff shape factor, and Potential Evapotranspiration (PET) scaling coefficients. Using JAX-based automatic differentiation, we evaluate thirteen loss functions and identify three, Root Mean Square Error (RMSE), Outer 50 Percent Root Mean Square Error (Outer50RMSE), and Kiling-Gupta Efficiency (KGE), as the most informative based on performance over the full record, the driest five days per year, and the wettest five days per year. Parameter comparisons reveal robust differences between calibration sources: wilting point is systematically higher when calibrated with in-situ data, even when the ensemble is expanded across alternative loss functions. In contrast, available water capacity does not show a consistent separation between satellite- and in-situ-based estimates. Residuals exhibit slight seasonality, with the Outer50RMSE trained models showing the largest variance. To assess ensemble coverage, we introduce an ensemble coverage metric defined as the ratio between the intersection of ensemble spread and observed soil moisture relative to the observed range. In 6 of 9 counties, satellite-based calibrations produce higher coverage, indicating that multi-source calibration can better represent the overall distribution of soil moisture despite the limited temporal record of in-situ data. Projection ensembles generated using seven-year versus twenty-year calibration windows exhibit consistent drying signals across counties, and longer calibration periods reduce the spread of extreme projections while stabilizing parameter distributions. Overall, the results show that integrating in-situ, satellite, and reanalysis datasets with machine learning–enabled calibration improves model performance, enhances ensemble robustness, and provides more defensible future projections. However, the model still struggles to capture abrupt soil moisture declines and seasonal transitions, highlighting ongoing limitations in simplified water balance models when confronted with extreme hydrologic variability. The framework developed here offers a scalable pathway for generating county-scale soil moisture projections to support drought monitoring, agricultural decision-making, and climate resilience planning.

How to cite: Alam, T., Avila, T., Lafferty, D., Ford, T., and Sriver, R.: Machine Learning Assisted Calibration of pyWBM Using In-Situ, Satellite, and Reanalysis Soil Moisture Data for High Resolution Soil Moisture Ensemble Projections, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-357, https://doi.org/10.5194/egusphere-egu26-357, 2026.

Climate change is intensifying soil moisture variability, atmospheric evaporative demand, and salinity intrusion in agricultural landscapes, creating new challenges for sustainable food production. Understanding how soil hydrology and plant physiological stress interact under these conditions is essential for designing resilient irrigation strategies. This study presents a hydro-physiological assessment of wheat and maize grown under controlled combinations of soil salinity and deficit irrigation, and introduces an Artificial Neural Network (ANN) based Crop Water Stress Index (CWSI) model for real-time decision support in semi-arid farming systems of northern India.
Field experiments (2023–2025) were conducted to measure canopy temperature, air temperature, relative humidity, vapor pressure deficit (VPD), and soil moisture under varying salinity (EC levels) and irrigation regimes. These data were used to develop whole-season and stage-specific ANN models capable of capturing non-linear interactions between soil hydrology, crop physiology, and atmospheric demand. The ANN-based CWSI successfully distinguished mild-to-severe stress transitions and detected early-stage water stress acceleration during periods of high VPD, indicating a propensity toward flash drought development under combined salinity–moisture constraints.
Results show that salinity amplifies crop water stress by reducing effective root-zone moisture availability, leading to higher canopy–air temperature gradients and elevated CWSI values even under moderate irrigation. Stage-specific ANN models achieved strong performance (R² = 0.87–0.94), particularly during flowering and grain filling, where hydrological stress most affects yield. The framework demonstrates how data-driven CWSI modeling can translate complex soil–plant–atmosphere interactions into actionable irrigation insights for farmers.
This work highlights a scalable approach to precision irrigation scheduling, enabling reduced water use without compromising crop health in regions vulnerable to hydrological extremes and sociohydrological pressures. By linking soil hydrology, irrigation management, and physiologically informed stress indicators, the study contributes to sustainable food production strategies in a global climate change context.

How to cite: Dandotia, P. K. and Kotnoor Suryanarayanarao, H. P.: Hydro-Physiological Controls of Crop Water Stress Under Salinity and Deficit Irrigation: An ANN-Based Framework for Sustainable Irrigation Management in a Changing Climate, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-772, https://doi.org/10.5194/egusphere-egu26-772, 2026.

EGU26-1500 | PICO | HS8.3.1

Design and deployment of a multi-platform soil moisture monitoring network 

Felix Thomas, Friedrich Boeing, Julian Schlaak, Solveig Landmark, Rebekka Lange, Daniel Altdorff, Jan Bumberger, Andreas Marx, Peter Dietrich, Falk Böttcher, Rainer Petzold, Kerstin Jäkel, and Martin Schrön

The MOWAX project investigates monitoring- and modelling concepts as a basis for the assessment of the water budget in Saxony. It operates a dense, multi‑platform soil moisture observation network in collaboration with the German Weather Service (DWD), Sachsenforst, TU Dresden and regional authorities.

The network was designed to represent the dominant landscape properties influencing the water budget in Saxony, including land use, natural areas, soil types, and climatic conditions. It combines up to 10 area‑representative Cosmic Ray Neutron Sensing (CRNS) stations and novel mobile platforms, namely Rail-CRNS (continuous measurements from sensors on trains). We describe our standardized sensor deployment and calibration protocols, automated quality control procedures, and methods for integrating our observations into the modelling framework using the new UFZ timeseries infrastructure. After more than one year of effort, we report on advancements and experiences in pursuing our goals. Based on our strong collaboration with existing observatories and data management infrastructures we are maximizing the utility of ongoing CRNS data for our purposes by establishing a new sensor network.

One of the primary objectives is to enhance and validate the mesoscale Hydrologic Model (mHM) for Saxony by providing continuous, quality‑controlled soil moisture time series. Further, we aim to provide a near-real-time visualization of our observations and model outputs and deliver a valuable data basis that can be used by authorities to support management decisions and urgent actions.

MOWAX is funded by the European Regional Development Fund (EFRE) and by tax revenue on the basis of the budget approved by the Saxon state parliament (funding code 100702604).

How to cite: Thomas, F., Boeing, F., Schlaak, J., Landmark, S., Lange, R., Altdorff, D., Bumberger, J., Marx, A., Dietrich, P., Böttcher, F., Petzold, R., Jäkel, K., and Schrön, M.: Design and deployment of a multi-platform soil moisture monitoring network, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1500, https://doi.org/10.5194/egusphere-egu26-1500, 2026.

The electrical properties of materials, specifically dielectric permittivity (ε) and electrical conductivity (σ), are of interest in a wide variety of applications (e.g. agriculture). For example, in porous media such as soil, ε is strongly correlated with water content, and dielectric sensors are routinely employed to measure soil moisture. Soil moisture sensing technologies have been available in the market for decades, including Time Domain Reflectometry (TDR), Impedance Sensors, Capacitance and Frequency Domain Reflectometers (FDR). These sensors all measure the apparent dielectric permittivity εa, which is a function of both the imaginary dielectric permittivity (εi) and εr. Sensor technology needs to be developed to measure both εr and εi in order to overcome the impact of salts on water content measurements and take the next technological step forward. A new method, the four-voltmeter method (4VM) is a complex dielectric sensor that determines both the εr and εi by measuring voltage amplitudes at multiple circuit nodes. The 4VM improves dielectric permittivity measurements under saline conditions by combining multiple independent admittance estimates to account for conductivity-induced errors, avoid loss of sensitivity, and maintain accuracy across a wide range of salinities. The goal of this project is to assess the performance of 4VM in a sandy soil across a range of salinities up to 50 dS/m and assess its true performance.  

How to cite: Rivera, L., Fakhouri, S., and Chambers, C.: Measuring soil moisture and dielectric permittivity in saline environments: Exploring the limits of Complex Dielectric Through Intersections Technology, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2223, https://doi.org/10.5194/egusphere-egu26-2223, 2026.

EGU26-6582 | PICO | HS8.3.1

Summer drying of soils in Switzerland: Insights from the SwissSMEX network 

Martin Hirschi, Dominik Michel, Dominik L. Schumacher, Wolfgang Preimesberger, and Sonia I. Seneviratne

Notably drier summers and more frequent droughts were reported in Switzerland in the last decades. We analyse these drying trends based on the comprehensive network of in situ soil moisture measurements from the Swiss Soil Moisture Experiment (SwissSMEX), which as of now covers 15 years. We document recent measures that have been taken to secure the SwissSMEX network and to ensure the continuity of its long-term soil moisture timeseries. The analysis focuses on trends in summer and summer half-year anomalies of vertically integrated soil water content and investigates the robustness of the recent drying based on different sets of Swiss Plateau stations. Furthermore, the SwissSMEX-based trends are compared with those from soil moisture of a widely used land reanalysis product (ERA5-Land) and of a merged passive microwave satellite product (European Space Agency Climate Change Initiative ESA CCI).

There is good agreement between the temporal evolution and the drying tendency of SwissSMEX in situ soil moisture based on different sets of Swiss Plateau stations. Comparisons with ERA5-Land and ESA CCI reveal a consistent evolution of soil moisture across the three independent datasets. Summer drying tendencies over the common 2010–2025 period amount to ‑11 mm/decade for ERA5-Land and ESA CCI, and to ‑14 mm/decade for SwissSMEX. While most drying trends are not statistically significant over this short span, ERA5-Land shows significance when extending the analysis period. The findings underscore the need for continued soil moisture monitoring in Switzerland for further investigation of long-term drying trends.

How to cite: Hirschi, M., Michel, D., Schumacher, D. L., Preimesberger, W., and Seneviratne, S. I.: Summer drying of soils in Switzerland: Insights from the SwissSMEX network, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6582, https://doi.org/10.5194/egusphere-egu26-6582, 2026.

EGU26-8959 | ECS | PICO | HS8.3.1

From raw measurements to indicators: workflows for quality-controlled soil moisture monitoring in Austria 

Florian Darmann, Verena Jagersberger, Jutta Eybl, Korbinian Breinl, Peter Strauss, and Thomas Weninger

Understanding soil water dynamics is crucial for hydrological assessments in Austria’s intensively used landscapes. Reliable soil moisture observations support the understanding of vadose zone processes and can be used to assess infiltration capacity during heavy rainfall events, as well as to evaluate water availability during dry periods. However, sensor-related uncertainties and data quality issues limit the application of soil moisture monitoring networks in hydrological modelling, despite their long-term operation and broad relevance.

The Austrian Hydrological Service operates a nationwide monitoring network measuring soil water content, matric potential, and soil temperature at multiple depths across diverse climatic and land-use conditions. These long-term observations provide an important basis for climate trend analysis and the development of water management strategies. The sustainable use of such datasets depends on robust data management and quality assurance procedures.

This study focuses on establishing a standardized and reliable workflow for transforming raw soil water measurements into publicly accessible indicators. This includes the development of quality control and data processing procedures for Austria’s soil moisture monitoring network. Automated and semi-automated routines are used to identify measurement errors related to sensor problems, signal drift, and implausible temporal behaviour. These routines are complemented by systematic data correction procedures. The resulting quality-controlled time series form the basis for deriving soil water indicators (e.g. the Soil Water Index) and enable near-real-time visualization within the national hydrological portal eHYD.

The presented workflow improves the consistency, reliability, and accessibility of long-term soil moisture observations by providing a framework for quality control and data processing. This approach is transferable to other soil moisture monitoring systems with similar challenges regarding data quality, long-term maintenance, and operational use.

How to cite: Darmann, F., Jagersberger, V., Eybl, J., Breinl, K., Strauss, P., and Weninger, T.: From raw measurements to indicators: workflows for quality-controlled soil moisture monitoring in Austria, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8959, https://doi.org/10.5194/egusphere-egu26-8959, 2026.

Authors: Boquera, Lola ; Janeras, Marc ; Lladós, Agnès ; Portell, Xavier and Vicens, Marc

Institut Cartogràfic i Geològic de Catalunya. Parc de Montjuïc 08038, Barcelona, Spain. https://www.icgc.cat/

  XMS-Cat is a soil moisture observation network implemented by the Cartographic and Geological Institute of Catalonia (ICGC) to characterize climatic conditions and soil moisture throughout Catalonia. Each station in the network measures soil temperature and volumetric water content at several depths (typically 5, 20, 50, and 100 cm), as well as atmospheric variables such as rainfall, air temperature, humidity, and solar radiation. The network currently provides high-quality, open-access data for farmers, land managers, and scientists (Soil monitoring network ICGC website:  https://visors.icgc.cat/mesurasols/#9.67/42.4378/0.7495).

While volumetric water content measured by XMS-Cat sensors is a quantitative measure of soil moisture, shallow landslides triggered by rainfall are more closely related to the soil water energy state, which can be better assessed using water potential sensors. Consequently, in 2023, an experimental phase was initiated in which new XMS-Cat stations were supplemented with both types of sensors.The purpose of this enhancement in addition to deepening knowledge of soil water status is threefold: (1) strengthening soil-related hazard assessment, such as slope stability,(2) improving characterization of the vegetation water stress; and (3)introducing data redundancy to enhance network resilience.

This contribution provides further details of the network reconfiguration and the initial studies conducted.

Keywords: soil moisture, in situ monitoring, network, volumetric water content, water potential, agriculture, vegetation water stress, slope stability, Landslide hazard.

How to cite: Boquera, L.: Enhancing the Catalan Soil Moisture Observation Network  (XMS-Cat): from agricultural and climatic applications to hazard assessment.  , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9319, https://doi.org/10.5194/egusphere-egu26-9319, 2026.

EGU26-12085 | ECS | PICO | HS8.3.1

Assessing Spatial Variability of Soil Moisture Across an Erosion-Prone Agricultural Hillslope  

Doğa Yahşi, Svenja Hoffmeister, Mirko Mälicke, Núria Martínez-Carreras, Jean François Iffly, and Erwin Zehe

Soil moisture is a critical state variable in hydrological systems, acting as both an initial and a boundary condition for physically based hydrological models. Its spatial and temporal variability strongly influences the partitioning of rainfall into infiltration, overland flow and subsurface runoff, which regulates the magnitude, timing and threshold behaviour of extreme events such as flash floods and soil degradation. However, the extensive and multiscale variability of soil moisture has challenged hydrological scientists for over two decades. A common approach to address this issue is to perform distributed point sampling of soil moisture and apply geostatistical methods to analyze spatial relationships and patterns, perform interpolations and provide uncertainty estimates for predictions.

In this study, we aim to quantify the spatial variability of soil moisture at the hillslope scale, as this variability is a key factor controlling hydrological responses and erosion dynamics. The research area is an agricultural hillslope in the Attert River Basin, Luxembourg, where severe erosion occurs year-round on agricultural parcels due steep slopes and extreme rainfall events. A nested cluster sampling design was implemented to cover as much area as possible and to represent a wide range of distance classes to perform geostatistical analysis.

Two soil moisture campaigns were conducted under wet and dry conditions. Soil moisture was measured at 110 cluster points using Time Domain Reflectometry (TDR), which records dielectric permittivity and converts it into volumetric water content using general onboard calibration equations, selected according to soil texture. While these factory calibrations are widely used, they can introduce errors when applied to soils with specific hydraulic properties or textures. Therefore, 15 soil samples (3 per cluster) were collected for gravimetric determination of soil moisture to validate the TDR measurements.

During both campaigns, the TDR measurements revealed a negative bias compared to the gravimetric measurements. Empirical variogram models were fitted for both datasets, with and without the data correction for the bias. The wet case, in comparison to the dry case, exhibited a shorter effective range (~145 m) and a higher nugget-to-sill ratio (~0.4), indicating weaker spatial correlation and a larger relative contribution of small-scale variability. In contrast, the dry case showed a longer effective range (~190 m) and a lower nugget-to-sill ratio (~0.3) reflecting stronger spatial organization and more coherent soil moisture patterns. These differences arise because under wet conditions, increased hydraulic connectivity and redistribution promote local-scale variability and reduce large-scale spatial organization. On the other hand, drier conditions enhance the influence of soil texture, rooting depth and evapotranspiration patterns that operate over larger spatial scales.

How to cite: Yahşi, D., Hoffmeister, S., Mälicke, M., Martínez-Carreras, N., Iffly, J. F., and Zehe, E.: Assessing Spatial Variability of Soil Moisture Across an Erosion-Prone Agricultural Hillslope , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12085, https://doi.org/10.5194/egusphere-egu26-12085, 2026.

EGU26-13497 | ECS | PICO | HS8.3.1

Low-cost soil moisture monitoring: experiences from a technology transfer project for small farms  

Lorenzo Gallia, Giacomo Tavernelli, Dario Vallauri, Cristina Allisiardi, Franco Tesio, and Alessandro Casasso

The importance of irrigation water management has increased in recent years with the declining summer availability due to climate change, especially for surface waters. The diffusion of pressure irrigation systems has led to higher water efficiency exploiting a demand-based irrigation, overcoming the turn-based limitation of classical flood irrigation. GUARDIANS project (https://guardians-project.eu/), funded by the Horizon Europe program and involving 22 partners from 9 countries, has the goal to transfer this approach shift in the context of small farms, developing and demonstrating IT technologies in several study areas. One of these case studies is the irrigation reservoir of Rivoira (Boves, Piedmont, NW Italy), built in 2017 and having a capacity of 42000 m3. The reservoir is connected to a pressure irrigation network serving about 300 ha of cropfields mainly owned by small farmers.

To improve water management in the study area based on actual soil moisture readings, low-cost sensors were tested for ground-based measurement of volumetric water content (VWC). Their affordability makes them suitable for small farms, while remote data transmission enables continuous monitoring across multiple points within the same field.

These sensors, however, present several challenges. Calibration procedures that balance accuracy and simplicity are essential: for example, the choice is between calibrating each sensor or deriving a calibration formula that applies to all of them, or between calibrating sensors for each soil type or with a formula that works for all types. Furthermore, practical considerations for field installation and reliable long-term data transmission are crucial. Measurement quality must also be carefully evaluated, making sensor redundancy important to compensate for devices that may go offline or produce anomalous readings over time.

This work focuses on operational challenges and solutions adopted during calibration, installation, and data management of low-cost soil moisture sensors in the context of seven small farms. The comparison with meteorological data and recorded irrigation events makes it possible to check the performance of the sensors installed during the previous irrigation season, thereby allowing conclusions to be drawn about the reliability of sensors. In particular, the field monitoring campaign revealed similar dynamic behaviour among sensors, which correctly responded to irrigation and rainfall events; however, significant offsets in their absolute VWC values were observed. These discrepancies may be attributed to spatial heterogeneity in field VWC distribution, as well as to sensor drift over time, and deserve particular consideration.

Overall, low-cost sensors can play an important role in improving irrigation management, but several operational challenges need to be addressed to fully exploit their potential.

This study is carried out within the framework of the GUARDIANS project, funded by the European Union through the Horizon Europe Programme - Farm2Fork (Grant Agreement n. 101084468).

How to cite: Gallia, L., Tavernelli, G., Vallauri, D., Allisiardi, C., Tesio, F., and Casasso, A.: Low-cost soil moisture monitoring: experiences from a technology transfer project for small farms , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13497, https://doi.org/10.5194/egusphere-egu26-13497, 2026.

EGU26-13748 | ECS | PICO | HS8.3.1

A long-term soil moisture monitoring network in Twente, the Netherlands: observations, applications, and perspectives 

Franziska Tügel, Paul Vermunt, Murat Ucer, Friso Koop, Filippo Signora, and Christiaan van der Tol

The ITC Faculty at the University of Twente operates a soil moisture monitoring network consisting of approximately 20 stations that continuously measure volumetric soil water content and soil temperature at up to five depths between 5 and 80 cm. The network was originally established in 2009; over time, several stations have been removed, while others have been added. Its initial purpose was to support the calibration and validation of satellite-based soil moisture products. Recent applications use soil moisture and groundwater monitoring to support adapted water management practices, including adjustable weirs and controlled drainage. For this purpose, supplementary soil moisture stations have been installed in smaller clusters within projects conducted in collaboration with local farmers and the regional water authority Vechtstromen. The quality-checked dataset from 2009-2020 has been published by van der Velde et al. (2023) and also added to the International Soil Moisture Network (ISMN). Furthermore, real-time and historical soil moisture data contribute to the Dutch drought portal. Recently, the soil moisture network has been integrated into the development of a larger multi-sensor infrastructure at the ITC, supported by the NWO-funded Sectorplan in Earth and Environmental Sciences.

The collected data will be analyzed to investigate long-term trends, responses to meteorological extremes, and spatial variability in soil moisture across the Twente region. Furthermore, data from soil moisture, meteorological, groundwater, and additional sensors, together with remote sensing observations, will serve as calibration and validation data for an integrated hydrological model. This framework aims to investigate the effects of local agricultural water management practices on water fluxes and water balance components, such as evapotranspiration, groundwater recharge, and surface runoff, and to scale up field-level adaptation measures and their effects to the regional scale. Insights from these investigations are expected to support the identification of sustainable and resilient water management practices from field to regional scales, helping to better cope with increasing water-related challenges such as droughts and flooding.

References: van der Velde, R., Benninga, H.-J. F., Retsios, B., Vermunt, P. C., and Salama, M. S.: Twelve years of profile soil moisture and temperature measurements in Twente, the Netherlands, Earth Syst. Sci. Data, 15, 1889–1910, https://doi.org/10.5194/essd-15-1889-2023, 2023.

How to cite: Tügel, F., Vermunt, P., Ucer, M., Koop, F., Signora, F., and van der Tol, C.: A long-term soil moisture monitoring network in Twente, the Netherlands: observations, applications, and perspectives, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13748, https://doi.org/10.5194/egusphere-egu26-13748, 2026.

High-resolution soil moisture data is a critical component for understanding the hydrological cycle and establishing climate adaptation strategies, particularly in the complex mountainous terrains of the Far East Asian region. Recognizing the significance of this data within the southern part of the Korean Peninsula, the Korea Institute of Hydrological Survey operates in-situ soil moisture monitoring networks to provide standardized, high-quality hydrological data. Located in mountainous regions with long-term operational history, these networks are co-located with evapotranspiration and streamflow stations, facilitating efficient and integrated water balance studies.

To ensure high data reliability for global research applications, KIHS implements a multi-stage quality control (QC) framework for its SM datasets. We have developed an automated outlier detection system based on the International Soil Moisture Network (ISMN) protocols to identify and filter physical anomalies such as spike, break and constant values. Furthermore, to provide continuous data, KIHS utilizes a hybrid framework of statistical methods and machine learning algorithms for gap-filling. This framework integrates CDF Matching, Kalman Filter, and SARIMAX with non-linear models like Random Forest and KNN, ensuring robust and continuous time-series data even under challenging field conditions.

These high-quality datasets are shared internationally through ISMN and are highly recommended for the calibration and validation of satellite products such as SMAP and Sentinel, particularly during the non-frozen period from April to November. The objective of this presentation is to present KIHS's soil moisture monitoring networks and QC methodologies and to demonstrate the academic significance of soil moisture observation stations in the Korean Peninsula.

keywords : soil moisture, the Korea Peninsula, mountainous terrain, monitoring networks, long-term operation, QC frameworks

How to cite: Lee, Y. J., Kim, K. Y., and Kim, C. Y.: Enhancing Soil Moisture Data Reliability in South Korea: Advanced Quality Control and Ensemble Gap-filling of the KIHS Network, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16168, https://doi.org/10.5194/egusphere-egu26-16168, 2026.

EGU26-18942 | ECS | PICO | HS8.3.1

Establishment of the Israeli Soil Moisture Monitoring Network 

Dotan Perlstein, Ehud Strobach, and Ori Adam

Establishment of the Israeli Soil Moisture Monitoring Network

Dotan Perlstein [a, b], Ehud Strobach [a], Daniel Kurzman [a], Ori Adam [b], Marc Perel [c] 

a Soil, Water and Environmental Sciences, Agricultural Research Organization, Rishon Letzion, Israel

b Institute of Earth Sciences, The Hebrew University, Jerusalem, Israel

c Agrometeorological Division, Israel Ministry of Agriculture

Volumetric water content in unsaturated soil is a complex state variable, highly significant to both agriculture and climate science, but until recently available only in low temporal and spatial resolution. However, recent simplified sensor technologies, advances in digital data logging and telemetry, the emergence of data‑driven analysis methods, together with increasing demand for ground‑truth observations, catalyzed the establishment of soil water monitoring networks worldwide.

Recently, one such network has been established in Israel, through collaboration between the Agricultural Research Organization, Volcani Institute and the Agrometeorological Division of the Israeli Ministry of Agriculture, integrated within the existing infrastructure of above-ground, in-situ meteorological stations. Locations for the soil monitoring stations were selected based on geographic considerations, representing all major soil types and heterogeneous climatic conditions in Israel.

At present, there are 28 operational soil monitoring stations, equipped with TDR‑based soil probes installed at four depths: 10, 30, 70, and 150 cm below ground surface, providing 10‑minute measurements of volumetric soil water content and soil temperature. To minimize disturbance‑induced bias, sensors are installed into undisturbed vertical soil faces exposed by mechanical excavation. Procedures for automated quality control, data validation and user‑interface development are currently underway.

Preliminary results are presented from several stations. For instance, the Mevo Horon station, characterized by a soil profile of mixed carbonate bedrock and rendzina soils, has accumulated more than two years of continuous observations. The data indicate that soil water content at 10 cm depth exhibited more than ten wetting–drying cycles during the 2023–2024 winter season, whereas only a single infiltration event was detectable at 30 and 70 cm depths. At 150 cm depth, soil water content showed no discernible response to the annual hydrological cycle. Diurnal soil temperature signal is clearly observed only at 10 cm depth, with the diurnal thermal wave substantially attenuated even at 30 cm depth, throughout the year.

How to cite: Perlstein, D., Strobach, E., and Adam, O.: Establishment of the Israeli Soil Moisture Monitoring Network, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18942, https://doi.org/10.5194/egusphere-egu26-18942, 2026.

EGU26-20609 | ECS | PICO | HS8.3.1

Own the Data, Understand the Land: Citizens as Key Players in Soil Moisture Monitoring? 

Hannah Sachße, Daniel Diehl, Nikolaus Baumgarten, Elgin Hertel, Frederick Büks, and Björn Kluge

Climate change is increasing both the duration of dry periods and the intensity of precipitation events, yet dense, long-term soil moisture records - particularly in rural areas - remain scarce. These records are necessary to understand regional water balances, validate remote sensing data and hydrological models, and provide information for drought-resistant land management. Wassermeisterei is a citizen-led soil moisture monitoring network in the Fläming region around Potsdam and Berlin, Germany. It provides residents with low-cost sensors to continuously measure soil moisture at four depths in the topsoil and subsoil across a growing network of over 70 sites. Participants receive structured education (courses, hands-on-workshops, and online materials) and are supported to install and maintain sensors in their communities (e.g., agricultural land, grassland, gardens, forests).  A real-time LoRaWAN network feeds monitored data into a collaboratively developed, interactive public water map, making soil moisture data accessible and actionable for local communities and stakeholders. Through community building, shared data analysis, and practical resources for replication, the bottom-up citizen science project promotes local responsibility, closes observation gaps in a cost-effective manner, and potentially creates a replicable model for other soils and land use contexts. This presentation examines the integration of citizen science data into formal databases and assesses the scientific value of data from the soil moisture network. Furthermore, the possibility of using this information to improve regional climate resilience by providing data on the water balance of different land use types is explored.

How to cite: Sachße, H., Diehl, D., Baumgarten, N., Hertel, E., Büks, F., and Kluge, B.: Own the Data, Understand the Land: Citizens as Key Players in Soil Moisture Monitoring?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20609, https://doi.org/10.5194/egusphere-egu26-20609, 2026.

EGU26-21379 | ECS | PICO | HS8.3.1

Calibration Of CS655 Soil Moisture Sensors Under Sahelian Conditions: Effects Of Moisture And Temperature 

Mouhamadou Lamine Faye, Mouhamed Diedhiou, and Frédéric Do

Long-term in situ observations of soil moisture are essential to understand eco-hydrological processes, in the vadose zone and to provide ground reference for remote sensing, especially in Sahelian Africa where such datasets are poorly available. Since 2019, a dense network of time domain reflectometry sensors (CS655 model, Campbell Scientific) has been continuously monitoring soil moisture at the “Faidherbia Flux” experimental site in Sob, Senegal. The system records high-resolution data across multiple locations and depths, from 10 cm down to 480 cm.

However, these data face particular quality issues representative of sandy soils in semi-arid agroecosystems. The main challenges stem from (1) the limited accuracy of the standard Topp calibration under a narrow range of soil water content dominated by dry soil conditions (2) the influence of strong diurnal thermal fluctuations on dielectric measurement near the soil surface. High accuracy is particularly required when it is expected to process reliable modelling based on retention curves, very steep in the case of sandy soils.

To address these questions, we designed an experimental protocol combining in situ and laboratory calibrations. In situ calibration was performed during three distinct hydrological periods—dry (June), intermediate (January), and wet (October) to cover the full range of soil water natural conditions. The results revealed a strong correlation between CS655 readings and gravimetric moisture values (R² = 0.97), but also a consistent underestimation of actual soil moisture by CS655 sensor.

In the laboratory, undisturbed soil samples were collected from two depths (20 cm and 80 cm), chosen based on contrasting bulk densities likely to influence sensor response and potentially require distinct correction relationships. These samples were subjected to controlled temperature variations (from 25 °C to 45 °C) and progressive moisture levels (from 17% to 0%).  At a reference temperature of 25 °C, a relationship between the sensor readings and the actual soil moisture was first established, resulting in a correction coefficient for water content. This relationship confirmed the underestimation of soil water content by CS655 observed in the field. Then, for each moisture level, the slope of the sensor response to temperature was calculated. The average of these slopes defined a temperature correction coefficient.

Based on this two-step approach, we developed a three-variable calibration model, linking measured soil moisture, actual soil moisture, and soil temperature variations. Applying these corrections to field data significantly improved the accuracy and robustness of the CS655 readings. The systematic underestimation bias was corrected, and temperature-driven fluctuations were substantially reduced, allowing a more reliable interpretation of daily and seasonal moisture dynamics.

These findings highlight the importance of sensor calibration protocols for long-term soil moisture monitoring in our ecosystem type. Our work contributes to global efforts aimed at improving in situ networks and supporting satellite validation and hydrological modeling in arid and semi-arid regions.

How to cite: Faye, M. L., Diedhiou, M., and Do, F.: Calibration Of CS655 Soil Moisture Sensors Under Sahelian Conditions: Effects Of Moisture And Temperature, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21379, https://doi.org/10.5194/egusphere-egu26-21379, 2026.

EGU26-23056 | PICO | HS8.3.1

The International Soil Moisture Network (ISMN): revised flagging strategy and AI assisted quality control 

Wolfgang Korres, Tunde Olarinoye, Dominique Mercier, and Matthias Zink

Soil moisture is a key variable influencing land–atmosphere interactions, hydrological extremes, ecosystem processes, and agricultural productivity. The International Soil Moisture Network (ISMN) provides a global, freely-accessible repository of quality-controlled in situ soil moisture observations to support Earth system science, remote sensing validation, and model development through standardized and traceable data. The ISMN compiles soil moisture time series from a wide range of regional, national, and international monitoring networks. Contributing datasets are harmonized in terms of format, metadata, and temporal resolution and subjected to a uniform, rule-based quality control (QC) procedure to ensure research-ready data.

Each observational data point undergoes thirteen plausibility checks, resulting in flagging data as “good” or “dubious”. These checks fall into three categories: (i) a geophysical range verification, identifying  thresholds exceedances (e.g., soil moisture < 0% Vol); (ii) geophysical consistency checks, comparing observations with ancillary in situ data or NASA’s GLDAS Noah model data (e.g., flagging of soil moisture when soil temperature is below 0°C); and (iii) spectrum-based approaches, using the first and second derivatives of soil moisture timeseries to detect irregular patterns such as spikes, breaks, or plateaus.

In this work, we propose targeted adaptations to the existing QC flagging strategy to reduce false positives, where valid measurements are incorrectly marked as “dubious”. These refinements increase the proportion of data points flagged as “good” by up to 15% for the entire database. Also, we are proposing the revision of several flags which are originally optimized for the validation of remote sensing products to enhance usability across broader scientific applications, while still maintaining their utility for the remote sensing community. Finally, we will introduce an AI based change detection algorithm designed to identify and potentially homogenize structural breaks and impute missing or “dubious” values in soil moisture timeseries, such as those caused by sensor replacements. This would enable the generation of longer, more consistent time series records suitable for statistically robust trend analyses.

How to cite: Korres, W., Olarinoye, T., Mercier, D., and Zink, M.: The International Soil Moisture Network (ISMN): revised flagging strategy and AI assisted quality control, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23056, https://doi.org/10.5194/egusphere-egu26-23056, 2026.

SSS11 – Material and Methods in Soil Sciences

EGU26-7137 | Posters on site | SSS11.1

From Amorphous to Semi-Graphitic Carbon: Catalytic Transformations of Biochar in a Pilot Ferroalloy Furnace 

Małgorzata Wojtaszek-Kalaitzidi, Michał Rejdak, Michał Książek, and Sten Yngve Larsen

The pilot-scale furnace experiment was designed to assess the influence of biocoke on ferromanganese production processes. The investigation focused on the transformation behaviour of organic carbonaceous materials within a pilot ferroalloy furnace, employing a comprehensive, multi-analytical approach that included micro-computed tomography (μCT), micro-Raman spectroscopy, and organic petrology. The results indicate that the degradation pathways of biocoke and its biogenic component (biochar) differ markedly across individual furnace zones and are strongly governed by temperature gradients as well as the material’s position within the charge bed.

Distinct signs of partial graphitisation were detected in both the conventional coke matrix and the biochar fraction, as evidenced by Raman spectroscopic analyses. While biochar is generally classified as a non-graphitizable carbon, localised development of semi-graphitic structures was identified, suggesting that catalytic graphitisation may occur under specific furnace conditions. This transformation is most likely promoted by the presence of molten and/or vaporised transition metals—particularly iron and manganese—at temperatures exceeding 1500 °C, which may act as effective catalysts for the reorganisation of amorphous carbon into more ordered, graphite-like structures.

Catalytic graphitisation proceeds via interaction between amorphous carbon and metallic nanoparticles, leading to the formation of a metastable carbide phase that subsequently decomposes into graphitic carbon. In contrast to conventional graphitisation routes, this mechanism represents a single-step process that does not require a distinct carbonisation stage. The migration of metal vapours and molten droplets through the porous charge bed likely generates localised microenvironments that are especially favourable for such transformations, particularly in the lower regions of the furnace.

Complementary Raman analyses, including comparisons with established reference materials, confirmed the anisotropic and graphitic nature of selected carbon domains. Importantly, organic petrology plays a key role in the assessment of the biochar graphitisation process, enabling the identification, spatial characterisation, and textural interpretation of carbon structural evolution at the microscale.

These observations not only advance the understanding of the thermal and chemical behaviour of biogenic carbon in metallurgical systems, but also highlight a promising pathway for enhancing carbon structure through in-situ catalytic mechanisms. Research on efficient catalytic graphitisation of biochar, together with its systematic evaluation using petrographic techniques, is currently being actively conducted and further developed at ITPE (Institute of Energy and Fuel Processing Technology).

Fig. 1 The exemplary photomicrograph presenting a locally graphitized biochar particle (polarized light + Lambda plate,oil immersion, x500 mag.)

How to cite: Wojtaszek-Kalaitzidi, M., Rejdak, M., Książek, M., and Larsen, S. Y.: From Amorphous to Semi-Graphitic Carbon: Catalytic Transformations of Biochar in a Pilot Ferroalloy Furnace, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7137, https://doi.org/10.5194/egusphere-egu26-7137, 2026.

EGU26-7696 | ECS | Posters on site | SSS11.1

Comparative assessment of novel and traditional biochar stability proxies 

Monica McCall, Jan Hennissen, Chris Vane, and Mark Sephton

As biochar gains momentum as a carbon dioxide removal (CDR) strategy, robust, reproducible, and comparable stability metrics are increasingly needed. A growing number of novel biochar stability assessment methods are being adopted by the carbon crediting industry, however, comparative assessments between these novel approaches and with more established standards, such as molar H:C and O:C ratios, remain limited. Furthermore, there is ongoing dissensus among researchers and producers regarding which proxies most reliably capture long-term biochar stability.

This study aims to evaluate the relationships, strengths, and limitations of multiple novel and traditional biochar stability proxies. Biochars were produced from two common feedstocks, barley straw and chestnut wood, pyrolyzed at 400, 600, and 700 °C under an inert N₂ atmosphere. Biotic incubations were conducted using a soil microbial inoculum to quantify mineralizable carbon using gas chromatography. Borrowing from organic petrography, random reflectance microscopy was conducted as a measure of thermal maturity and Rock-Eval 6 was used to determine thermal stability and organic matter transformation. Lastly, chemical oxidation methods were explored as rapid proxies for biochar reactivity, including comparison of different oxidizing agents: bleach, nitric acid, and hydrogen peroxide (Edinburgh stability tool). Elemental analysis was used to calculate H:C and O:C molar ratios in order to benchmark results against established stability criteria.

Correlation and statistical analysis are used to explore how these techniques relate to each other, as well as the influence of feedstock and production temperature. Preliminary results suggest that while many stability metrics correlate well, some exhibit greater reproducibility across replicates and others demonstrated more sensitivity to methodological or user-related variability. The comparison highlights the importance of method standardization, particularly for emerging stability assessment techniques such as reflectance microscopy. Overall, the results provide insight into how stability metrics align and diverge, informing biochar producers and researchers on selecting tools or multi-proxy approaches to accurately evaluate biochar stability.

How to cite: McCall, M., Hennissen, J., Vane, C., and Sephton, M.: Comparative assessment of novel and traditional biochar stability proxies, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7696, https://doi.org/10.5194/egusphere-egu26-7696, 2026.

EGU26-14241 | Posters on site | SSS11.1

Impact of pyrolysis temperature and residence time on biochar reflectance: A case study of ground coffee biochar 

Stavros Kalaitzidis, Maria Georgaki, Malgorzata Wojtaszek-Kalaitzidi, John Vakros, and Ioannis Manariotis

Biochar is a porous, carbonaceous material derived from biomass pyrolysis with diverse applications. It holds significant potential in the agricultural sector (as a soil conditioner or fertilizer carrier), for environmental purposes (e.g., carbon sequestration), and industrial applications (e.g., plastics, paper and textile industries). However, its effective application depends on a clear understanding of biochar's long-term stability and the application of reliable methods to assess its durability and reactivity.

This study aims to characterize the microscopic properties of ground coffee-derived biochar using incident white light microscopy. Furthermore, it investigates the correlations between reflectance, surface area measurements, and elemental composition. A total of 16 samples were examined, including one sample of raw ground coffee and 15 coffee biochar samples produced at three pyrolysis temperatures (300, 600, and 850 °C) and five residence times (1, 3, 6, 12, and 24 hours) at laboratory conditions. For all samples, proximate and ultimate analyses were conducted. Reflectance and surface area measurements were determined for a comprehensive characterization.

For the examined coffee biochars, the random reflectance increased with rising pyrolysis temperature and residence time. Photomicrographs of coffee biochars pyrolyzed at 300 °C, 600 °C and 850 °C illustrate a color change. At 300 °C for 1, 3, and 6 hours, the biochar appears predominantly grey, indicating partial pyrolysis. With extended pyrolysis at 300 °C for 12 hours, as well as at higher temperatures of 600 °C and 850 °C, the biochar exhibits a bright white coloration. The results demonstrate a strong correlation between coffee biochar reflectance and both pyrolysis temperature and residence time, as reasonably expected. The coffee biochar samples, which formed at temperatures of 600 °C and 850 °C, exhibit Ro ranges (2.58 – 5.10%) well above the inertinite benchmark (IBR 2%). BET analysis reveals that specific surface area values range from 0.07 to 1020 m²/g, micropore area from 3 to 641 m²/g, and total pore volume from 0.0008 to 0.56 mL/g, all positively correlated with increasing pyrolysis temperature and residence time. Furthermore, the carbon and oxygen contents of the samples exhibit expected trends, characterized by an increase in carbon (C) and a decrease in oxygen (O).

Coffee biochars exhibit higher reflectance, surface area, and carbon content with increasing pyrolysis temperature and residence time, as expected, indicating greater stability, microporosity, and overall quality. These characteristics support their potential use in environmental applications. Finally, this study also demonstrates that reflectance measurement is the most qualified quality parameter.

How to cite: Kalaitzidis, S., Georgaki, M., Wojtaszek-Kalaitzidi, M., Vakros, J., and Manariotis, I.: Impact of pyrolysis temperature and residence time on biochar reflectance: A case study of ground coffee biochar, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14241, https://doi.org/10.5194/egusphere-egu26-14241, 2026.

EGU26-17932 | ECS | Posters on site | SSS11.1

Guidelines for assessment of biochar’s stability through Organic Petrography and micro-Raman Spectroscopy 

Nicola Mitillo, Lorenzo Animali, Massimo Mattei, and Sveva Corrado

Biochar is a carbon-rich residue of biomass pyrolysis or pyro-gasification that mimics natural coal macerals, transforming biomass into inertinite-like carbon for long-term storage. To directly assess nine commercial biochar’s stability, this study applies optical microscopies (organic petrography and reflectance measurements) combined with micro-Raman spectroscopy. These techniques, commonly used to evaluate the thermal maturity of geological organic matter, are here adopted to identify differences in degree of carbonization. Bulk chemical indicators, especially the H/C molar ratio, are also included for comparison. While molar ratios remain a useful proxy of overall biochar stability, spectroscopic and petrographic results provided the necessary resolution for study complex heterogeneous biochar.

Biochar reflectance (BCRo) emerged as key indicators of carbonization uniformity. Unimodal, narrow BCRo distributions reflect homogeneous thermal degradation, whereas bimodal or skewed patterns identify incomplete or uneven carbonization linked to inefficient heat transfer, short residence times and/or heterogeneous biomass traits. Using the value of 2% as inertinite benchmark (IBRo2%), reflectance data effectively discriminated incompletely carbonized domains from fully stabilized aromatic structures. Furthermore, Raman spectra showed systematic evolution of the D1 and G bands, with D1-G separation, intensity (iD1/iG), area (aD1/aG), and width (wD1/wG) ratios increasing with BCRo. These parameters defined two carbonization stages across the dataset. Biochar with BCRo > 3% show inertinite-like signatures consistent with high thermal maturity. In contrast, samples dominated by low-reflectance fractions (BCRo < 2%) are characterized by Raman spectral features typical of poorly carbonized, labile material.

By integrating micro-Raman spectroscopy with reflectance measurements, this study introduces a set of rapid diagnostic parameters for evaluating the carbonization efficiency and long-term stability of commercial biochar. The approach enables rapid discrimination between poorly carbonized and fully inertinite-like materials, offering practical benchmarks for CDR applications and for optimizing conditions in real production scenarios. For geoscientists, this multi-proxy framework provides a comprehensive guideline to characterize biochar’s formation, properties, and long-term stability, aligning its evaluation with established concepts of inert organic carbon in the geological record.

How to cite: Mitillo, N., Animali, L., Mattei, M., and Corrado, S.: Guidelines for assessment of biochar’s stability through Organic Petrography and micro-Raman Spectroscopy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17932, https://doi.org/10.5194/egusphere-egu26-17932, 2026.

Effective water resources management in arid inland river basins is paramount for sustaining ecosystem health and socio-economic development. These basins face severe challenges due to climate change and intensive anthropogenic activities. This study addresses this challenge by developing a novel multi-level (regional, irrigation district, and field-scale) and multi-objective optimization model for water resources allocation in a typical inland river basin of Northwest China. Our approach explicitly incorporates the hydrological connectivity from upstream runoff to downstream consumptive use. We first simulate the available water yield from upstream mountain sources, which serves as the key driver of the basin's water cycle. The model then optimizes cropping patterns using ecological sustainability indicators (e.g., ecological water demand, carbon footprint) to enhance the functional linkage between water use and ecosystem health. A significant innovation of our work is the nested optimization framework that propagates decisions from the regional scale down to the field scale, effectively managing the vertical connectivity in watershed management hierarchies. Furthermore, we employ interval fuzzy programming to handle inherent uncertainties in water supply and demand, ensuring the robustness of the configuration schemes. The results demonstrate that our model can effectively balance economic, social, and ecological objectives, providing Pareto-optimal solutions for decision-makers. Finally, a user-friendly Decision Support System (DSS) has been developed to visualize the outcomes and facilitate the practical application of our research. This DSS provides managers with critical insights into the timing, location, and strategies for water allocation, thereby bridging the gap between connectivity science and on-the-ground watershed management. Our study offers a transferable framework for achieving sustainable water resources governance in data-scarce, water-stressed arid regions.

How to cite: Zhang, F.: Bridging Scales for Sustainable Watershed Management: A Multi-level Water Resources Optimization Framework for Northwest China's Inland River Basins, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-145, https://doi.org/10.5194/egusphere-egu26-145, 2026.

EGU26-2688 | Orals | SSS11.2

Role of Micro-dynamic structures in the process of water erosion under complicated underlying surface conditions  

Huilan Zhang, Fangzheng Gu, Shaoqin Xia, Feng Li, Linghan Wang, and Di Zhang

Understanding how bed roughness modulates hydrodynamic processes around vegetation is critical for predicting soil erosion patterns in sloped landscapes. Through flume experiments with high-frequency particle image velocimetry (PIV), this study quantifies the interactions between bed roughness (ks=0.009, 0.25, 0.75,1.55) and horseshoe vortex (HV) dynamics under shallow overland flow conditions (ReD=2627-3815). Time-averaged flow field analysis, based on vorticity and swirl strength methods, revealed that increasing surface roughness disrupted the HV system by reducing the number of vortices, decreasing the vorticity and swirl strength of the primary HV, and shifting its position closer to the bed. Statistical analysis of the instantaneous velocity components showed the emergence of bimodal probability density functions (PDFs) and joint probability density functions (JPDFs) in the near-wall region upstream of the cylinder, representing the backflow and downflow events. As roughness increased, the bimodal region decreased in size and shifted further from the cylinder. Linear Stochastic Estimation (LSE) was used to characterize the underlying flow modes, indicating that the backflow event was associated with the backflow mode, while the downflow event was linked to the zero-flow mode. Notably, roughness elements enhanced flow stagnation (zero-flow mode dominance >60%), suggesting a potential mechanism for erosion mitigation. These findings provide quantitative linkages between micro-scale hydrodynamics and landscape-scale erosion processes, informing the design of vegetation-based erosion control strategies through targeted roughness manipulation.

How to cite: Zhang, H., Gu, F., Xia, S., Li, F., Wang, L., and Zhang, D.: Role of Micro-dynamic structures in the process of water erosion under complicated underlying surface conditions , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2688, https://doi.org/10.5194/egusphere-egu26-2688, 2026.

 Accurately identifying critical soil erosion source zones and sediment transport pathways within watersheds represents a key challenge in current soil erosion control and watershed management. To address this challenge, an integrated "RUSLE-IC" analytical framework was developed in this study, coupling the Revised Universal Soil Loss Equation (RUSLE) with an improved Sediment Connectivity Index (IC) to systematically quantify the spatial correspondence between erosion and transport processes. In this study, we utilized high-resolution UAV remote sensing techniques in a typical red soil hilly watershed in southern China. Based on calculated soil erosion modulus, and the sediment connectivity index was revised by integrating topography, vegetation, and road-ditch-pond artificial network elements. Additionally, the four-quadrant method was utilized to analyze the spatial matching patterns between erosion modulus and connectivity levels, thus accurately identifying the critical “source-pathway-sink” zones for sediment transport within the watershed. The results indicated that: (1) The predominant soil erosion level in the watershed was slight (75.43%), but the light erosion level, which accounted for only 23.50% of the area, contributed 60.03% of the total soil loss in the watershed, demonstrating highly spatially concentrated erosion. (2) The IC was significantly enhanced by the effects of road and ditch-pond networks, which combined to contribute 58.82% of the total IC enhancement effect. Meanwhile, a distance-threshold decay in the effect was observed, where the IC values decreased significantly with increasing distance within a 40-meter buffer zone (R²>0.91), but the effect weakened beyond that range. (3) The coupled erosion-connectivity analysis revealed that high erosion–high connectivity (HE-HC) zones, which comprising only 6.34% of the watershed area, contributed 25.76% of sediment yield and were identified as priority areas for management. And low erosion–high connectivity (LE-HC) zones (11.81%), predominantly associated with roads, ditches, and ponds, were characterized as potential high-efficiency sediment delivery pathways. Generally, (4) sediment transport in small watersheds was more sensitive to soil erosion source areas than to high-connectivity zones. The effectiveness of the proposed framework for identifying soil erosion and sediment delivery hotspots under complex surface conditions was validated, providing a scientific basis for implementing targeted soil and water conservation measures based on coordinated regulation of “source areas and transport pathways.”

How to cite: Li, P., Zhao, H., and Qi, S.: The Role of Road and Ditch-Pond Networks in Regulating Sediment Connectivity: An Analysis of the “Source-Pathway” Relationship of Sediment in Subtropical Red Soil Hilly Watersheds from an Erosion-Connectivity Coupling Perspective, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2797, https://doi.org/10.5194/egusphere-egu26-2797, 2026.

EGU26-3032 | ECS | Orals | SSS11.2

Geomorphic Variability and Sediment Connectivity in a Transitional Himalayan - Cratonic River Basin 

Priyamvada Dubey, Vikrant Jain, and Manudeo Singh

Sediment connectivity governs sediment dynamics in large river basins by linking erosion sources to delivery sinks, yet remains underexplored across Himalayan–orogenic to cratonic transitions where upstream pulses encounter downstream impedance. This study analyzes spatiotemporal connectivity and hotspot dynamics in the Yamuna basin’s transitional hinterlands, integrating contrasting Himalayan Upper Yamuna and cratonic Chambal ravine–badland sub-basins using a modified Index of Connectivity (IC) that combines structural (topographic slope, NDVI roughness) and functional (rainfall) controls for annual and monsoonal (June–October) conditions over 1999–2005. The Upper Yamuna exhibits the highest, most coherent connectivity (annual mean IC ≈ −8.64 versus −8.68 in Chambal), due to higher slopes and rainfall intensity, with persisting hotspots occupying ~20% of the basin and concentrated in the upper–middle Himalayan reaches. However, the ~750 km reach of the Yamuna River between the SubHimalaya to its confluence with the Chambal River is largely coldspot dominated, so sediment released from upland persisting hotspots experiences prolonged routing and storage, and only a modest fraction reaches the outlet. In contrast, the Chambal ravine–badland basin has slightly lower, more fragmented connectivity but far more dynamic hotspots, with new and sporadic classes occurring at ~10× the frequency seen in the Upper Yamuna and total hotspot–coldspot area ~50% larger. Persisting hotspots in the ~550 km long Chambal valley form a nearly continuous belt, spreading ~20–100 km from the trunk stream. These proximal, highly connected badland patches drastically shorten travel distances and reduce buffering, so monsoonal erosion pulses are efficiently transmitted to the gauge, with mean discharge about three times and mean sediment load about nine times higher than at the Upper Yamuna station, despite the lower basin-averaged IC of the Chambal basin. Together, these patterns show that the location, persistence, and river-parallel extent of connectivity hotspots relative to outlets can outweigh basin-averaged connectivity in controlling measured sediment loads, highlighting cratonic ravines as intermittent sediment sources that can rival or exceed Himalayan contributions. These findings also underpin a scalable structural–functional IC framework for tailored sediment management in Himalayan - cratonic river systems and analogous anthropogenically altered rivers worldwide.

How to cite: Dubey, P., Jain, V., and Singh, M.: Geomorphic Variability and Sediment Connectivity in a Transitional Himalayan - Cratonic River Basin, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3032, https://doi.org/10.5194/egusphere-egu26-3032, 2026.

Mountain watersheds, critical for water provisioning, biodiversity, and livelihoods, are increasingly vulnerable to a spectrum of natural hazards, including landslides, debris flows, glacial lake outburst floods (GLOFs), and extreme hydrological events. These hazards, often intensified by climate change and anthropogenic pressures, pose significant threats to ecosystem integrity, infrastructure, and human security downstream. Sustainable watershed management (SWM) emerges as a vital framework to mitigate these risks while preserving ecological functions and supporting socio-economic resilience. This study presents a comprehensive synthesis of research published over the past decade in the Journal of Mountain Science (JMS), a leading platform dedicated to mountain research.

Through a systematic review and thematic analysis of pertinent literature from JMS, we identify key research trends, knowledge clusters, and evolving paradigms at the intersection of mountain hazards and SWM. Our synthesis reveals three dominant thematic strands: (1) advanced methodologies for hazard monitoring, modeling, and risk assessment using remote sensing, numerical simulation, and community-based approaches; (2) analysis of hydro-geomorphic processes and their sensitivities to climatic and land-use changes; and (3) evaluation of integrated management strategies, such as ecosystem-based disaster risk reduction (Eco-DRR), green infrastructure, and adaptive governance models.

The analysis underscores a shift from purely technical hazard control towards more holistic, socio-ecological systems approaches. Key insights highlight the necessity of coupling engineering solutions with the restoration and conservation of watershed ecosystems to enhance natural buffering capacity. Furthermore, the synthesis identifies critical research gaps, including the need for long-term interdisciplinary studies, improved transboundary governance mechanisms, and strategies that explicitly link upstream hazard mitigation with downstream water security and equitable benefit-sharing.

This synthesis consolidates foundational knowledge from JMS, offering a consolidated reference for scientists, policymakers, and practitioners. It concludes that the sustainable future of mountain regions hinges on integrative science and policies that concurrently address hazard reduction, watershed protection, and sustainable development goals.

How to cite: Qiu, D.: Mountain Hazards and Sustainable Watershed Management: A Synthesis of Research Published in Journal of Mountain Science, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4318, https://doi.org/10.5194/egusphere-egu26-4318, 2026.

EGU26-4715 | ECS | Posters on site | SSS11.2

Effects of combined vegetation and terrace configurations on rill erosion in the slope-gully systems of the Loess Plateau 

Lulu Bai, Peng Shi, Yan Zhang, and Zechao Gao

Abstract: Rill erosion serves as a crucial transitional stage in water erosion, bridging sheet erosion and gully erosion, and constitutes a major form of soil erosion. Existing research has mainly focused on the impacts of vegetation patterns or vegetation coverage on rill erosion processes; however, the regulatory mechanisms of vegetation, terraces, and their combined configurations on rill erosion remain understood. To address this research gap, this study established slope-gully system models under six slope management scenarios: a control group (CK, bare slope), Measure A (upper-slope grass), Measure B (mid-slope grass), Measure C (lower-slope grass), Measure D (mid-slope terrace), Measure E (upper-slope grass + mid-slope terrace), and Measure F (mid-slope terrace + lower-slope grass). Employing simulated rainfall experiments and 3D laser scanning technology, this study clarified the developmental process of rill erosion and its responses to different management configurations, quantified variations in slope hydrological connectivity, and elucidated the regulatory mechanisms of different management measures on rill erosion. The results indicated that the combined Measure F exerted a significant regulatory effect on rill erosion processes in the slope-gully system. Specifically, this measure reduced the total rill length by 79.76%, delayed the initial occurrence of distinct rills by approximately 18 minutes, and minimized the average rill elongation rate to 1.32 cm/min. Additionally, it decreased the rill erosion mass, rill erosion volume, and the proportion of rill erosion by 50.14%, 50.06%, and 44.22%, respectively, exhibiting the optimal erosion control efficiency. Simultaneously, Measure F most effectively blocked surface runoff pathways, reducing the proportion of longer runoff path lengths by 4.99% and 4.81% compared to the control group after two rainfall events. Topographic analysis revealed that the slope topography was predominantly concave (characterized by negative skewness of the topographic convergence index), and the topographic wetness index increased post-rainfall, facilitating runoff generation. Compared with single measures, Measure F exerted a significant synergistic effect, enhancing the reduction rates of rill erosion mass, volume, and area by 18.82%, 20.51%, and 18.02%, respectively. In conclusion, the combined configuration of “mid-slope terrace + lower-slope grass” effectively inhibits rill erosion and optimizes slope hydrological connectivity, serving as an optimal integration of vegetative and engineering measures. This study provides a scientific basis for soil and water conservation management on the Loess Plateau.

How to cite: Bai, L., Shi, P., Zhang, Y., and Gao, Z.: Effects of combined vegetation and terrace configurations on rill erosion in the slope-gully systems of the Loess Plateau, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4715, https://doi.org/10.5194/egusphere-egu26-4715, 2026.

As a key soil and water conservation measure, check dams play an important role in erosion control, flood mitigation, and ecological restoration. Their scientific siting is the core prerequisite for realizing these composite benefits. To address the limitations of traditional siting methods, which are characterized by strong subjectivity, low efficiency, and incomplete multi-objective collaborative optimization, a multi-objective optimization framework integrating GIS, hydrological–hydrodynamic coupled models, and a genetic algorithm is proposed in this study. By parameterizing the distance from the watershed outlet (S) and the dam height (H), a continuous decision space is constructed, establishing quantitative mapping relationships with the dam crest length, sediment storage capacity, and silted land area. By coupling the HEC-HMS and HEC-RAS models, a flood surrogate model is developed to dynamically predict the peak flood reduction benefits under a 100-year flood scenario. Based on the Nondominated Sorting Genetic Algorithm II, a multi-objective optimization model incorporating the construction cost (C), peak flow attenuation (P), and sediment retention and farmland creation (SRFC) benefits (E) is constructed, revealing the nonlinear regulatory mechanisms of the decision variables on the objectives. A case study demonstrates that the optimal solution set significantly clusters in the middle and lower reaches of the Yangjiagou watershed (S < 4.2 km). High dams located near the outlet (S < 2.2 km and H > 20 m) correspond to schemes with strong flood-control performance (P > 60%) . Schemes with advantageous benefit–cost ratios (E/C > 2.5) are distributed in the middle reaches (S > 3.2 km) and are characterized by low-dam systems (H < 17 m). This framework overcomes the spatial discretization and empirical dependence limitations of traditional check dam siting methods. It achieves prediction errors below 20%, providing a scientific tool that combines mechanistic interpretability and decision-making efficiency for check dam planning. The proposed framework further demonstrates engineering feasibility and transferability to other watersheds, offering practical value for soil and water conservation planning.

How to cite: Deng, M. and Wang, W.: A Multi-Objective Optimization Framework for Check Dam Siting Integrating GIS, a Hydrological–Hydrodynamic Coupling Model, and NSGA-II, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4746, https://doi.org/10.5194/egusphere-egu26-4746, 2026.

The northwestern arid regions of China (NARC) is widely confronted with severe water scarcity, and climate change has further intensified the regional imbalance between water supply and demand. To improve the management and utilization of limited water resources in NARC, it is essential to investigate the spatial distribution and temporal variability of water resources. In this study, we used a distributed hydrological model (CWatM) to examine spatiotemporal changes in terrestrial water storage (TWS), surface water area (SWA), and groundwater storage (GWS) over 1979-2023, and to identify the key drivers of storage variations. The results show that: (1) Based on the surface water areas of major lakes, reservoirs, and rivers in the arid region of Northwest China, SWA exhibited an increasing trend during the study period (32.1 km² yr-1), mainly attributable to increased precipitation and glacier melt. In contrast, TWS and GWS decreased at mean rates of 1.21 and 1.05 mm yr-1, respectively, primarily associated with cropland expansion and rising water withdrawals. (2) From 1979 to 2023, SWA declined in the northern subregion (−0.72 km² yr-1) but increased in the southern sub-region (51.14 km2 yr-1); this contrast is explained by differences in regional precipitation and temperature changes. Over the same period, TWS decreased by 0.14 mm yr-1 in northern NWC and by 1.94 mm yr-1 in southern NARC, while GWS declined by 0.55 mm yr⁻¹ in northern NARC and by 1.72 mm yr-1 in southern NARC. These north-south disparities are likely related to higher evapotranspiration and greater irrigation water use in southern NARC compared with the north. Overall, these findings are critical for improving our understanding of hydrological-cycle changes in NARC and for informing future watershed-scale water resources management strategies.

How to cite: Zhao, J. and Liu, W.: Spatial and Temporal Distribution of Water Storage Changes in Arid Regions of Northwest China under Climate Change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6338, https://doi.org/10.5194/egusphere-egu26-6338, 2026.

EGU26-7254 | Posters on site | SSS11.2

Evaluation of runoff and sediment control by different measures from the perspective of hydrological-sediment connectivity on the Loess Plateau 

Zongping Ren, Xiaoni Ma, Guoce Xu, Haidong Gao, Yuting Cheng, Kaibo wang, and Zhanbin Li

Although previous studies have explored the effects of vegetation restoration and terrace construction on hydrological erosion processes, few studies have scientifically evaluated the regulation of runoff and sediment by different measures from the perspective of hydrological-sediment connectivity. In this study, field in-situ rainfall simulation experiments were conducted in combination with 3D laser scanning technology. Simplified hydrograph and relative surface connection function were utilized to characterize hydrological connectivity, while the index of connectivity (IC) was used to characterize sediment connectivity. Four measures configurations (i.e., terrace plot (Measure A), root system plot (Measure B), upper terrace and lower bare land plot (Measure C), upper terrace and lower root system plot (Measure D)) were set up. We explored the connectivity changes of vegetation and terrace patches, as well as the transport of runoff and sediment at the plot scale. Results showed that measure B has the lowest hydrological connectivity, and measure D has the lowest sediment connectivity. The transport of runoff and sediment mainly occurred in rills, and the connectivity within rill channels was much higher than that between rills. Compared with sediment, runoff responds more quickly to changes in sediment connectivity. In addition, measures A and B did not synchronize with changes in connectivity. The erosion process of integrated measure D was mainly divided into two stages. The first half depends on hydrological connectivity, while the second half relies on separation control. During continuous rainfall, the runoff reduction rate (RRE) and soil erosion reduction rate (SRE) of measure D were not the highest, but compared with other measures, its sediment connectivity reduction rate (ICRE) was as high as 12.1% ~ 12.3%. Therefore, we suggest that implementing comprehensive measures such as upslope terrace construction and downslope vegetation restoration can lead to better soil and water conservation outcomes.

How to cite: Ren, Z., Ma, X., Xu, G., Gao, H., Cheng, Y., wang, K., and Li, Z.: Evaluation of runoff and sediment control by different measures from the perspective of hydrological-sediment connectivity on the Loess Plateau, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7254, https://doi.org/10.5194/egusphere-egu26-7254, 2026.

Soil and water conservation practices (SWCPs) are fundamental strategies for interrupting sediment connectivity and mitigating soil erosion at the watershed scale. However, traditional design approaches often overlook the spatial heterogeneity of sub-basins and the complex trade-offs between environmental benefits and economic costs. This study proposes a novel multi-objective optimization framework to identify optimal SWCP configurations that balance ecosystem service value (ESV), life-cycle investment costs (IC), and sediment yield reduction. Using the Soil and Water Assessment Tool (SWAT) coupled with a non-dominated sorting genetic algorithm (NSGA-III), we evaluated fifteen SWCP scenarios (combining terracing, contour farming, and check dams) . The results demonstrate that combined SWCPs significantly outperform individual measures in disrupting sediment transport, with the combination of terracing, contour farming, and boulder check dams achieving the highest reductions in sediment yield (SY). While higher investment costs generally correlate with greater sediment reduction, our optimization reveals that low-cost practices like contour farming provide efficient connectivity management despite lower ESV. The optimized solution identified in this study reduced SY by 4.496 × 105 t and streamflow by 36.84 × 105 m³ with a minimal IC of 4.61 × 106 CNY, effectively maximizing the cost-benefit ratio. These findings provide a scientific basis for sustainable watershed management, offering policymakers a tool to navigate the challenges of balancing erosion control, ecological restoration, and economic constraints.

How to cite: Zhang, S. and Li, H.: Optimizing Watershed Sediment Management: A Multi-objective Approach Balancing Erosion Control, Ecosystem Services, and Economic Costs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8956, https://doi.org/10.5194/egusphere-egu26-8956, 2026.

Vegetation restoration serves as a crucial strategy for regulating sediment connectivity and enhancing carbon sequestration in ecologically fragile watersheds. However, accurately quantifying the spatial relationship between vegetation restoration and sediment connectivity presents a critical challenge for sustainable watershed management, particularly in assessing the efficacy of ecological engineering in targeting areas at high risk of erosion.

This study utilizes the Huangshui River Basin—a representative hydro-geomorphological transition zone between the Qinghai-Tibet Plateau and the Loess Plateau of China as a case study. It employs multi-source remote sensing data spanning from 2001 to 2023, the Index of Connectivity (IC), and interpretable machine learning techniques (XGBoost-SHAP) to explore the interconnections between carbon dynamics and hydro-geomorphological processes.

Over the past two decades, the basin has exhibited a significant "greening" trend, with Net Primary Productivity (NPP) increasing at an average rate of 2.83 gC·m-2a-1. Utilizing the Geographical Detector and XGBoost-SHAP model, we identified temperature as the primary non-linear driving factor (q=0.68). Land-use change decomposition reveals that growth improvements in stable vegetation contributed over 85% of the net NPP increment, while ecological engineering projects contributed a net increment of 0.14 TgC through the conversion of marginal croplands. Incorporating sediment connectivity index, the study further revealed a non-linear interaction between geomorphology and vegetation, wherein carbon sink gains across different vegetation types initially increased and subsequently decreased with escalating erosion risk (IC). Distinct restoration thresholds were identified for cropland (IC peak at -5.9), grassland (-6.1), and shrubland (-5.6). Forests demonstrate remarkable adaptability to environments characterized by high connectivity, sustaining elevated levels of productivity even in geomorphologically unstable regions. The spatial synergistic patterns further reveal that areas characterized by "high risk-high restoration" are predominantly concentrated in the fragmented gullies and steep slopes located in the central and eastern parts of the basin.

This research confirms that anthropogenic restoration measures have been effectively targeted the key source areas of the watershed. In contrast, areas characterized by "low risk-high restoration" areas are widely distributed across the western alpine meadows, reflecting climate-driven natural recovery processes. These findings provide crucial insights for spatially differentiated governance, suggesting that future strategies should prioritize maintaining the stability of high-connectivity forests while addressing the anthropogenic challenges faced by urban agglomerations in valley regions.

How to cite: Ma, D., Gong, M., Hui, Y., and Yu, Y.: Vegetation Restoration–Sediment Connectivity Coupling in an Ecologically Fragile Transitional Landscape: Insights for Watershed Management, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10811, https://doi.org/10.5194/egusphere-egu26-10811, 2026.

Conducting experiment is an important means to study the regularity and control measures of soil erosion. This study presents a new subject, EXPERIMENTAL EROSION, as a member of the discipline of soil and water conservation. Experimental Erosion is defined to explore the transportation law and control method of soil and water loss by performing field or laboratory tests under closely monitored or controlled experimental conditions. The similarity theory, simulation and observation technology, and data processing method are the three pillars of the experimental erosion. In spite of the significant problems associated with the design and prosecution of experimental studies of soil conservation, the experiments can provide an insight into landform evolution and dynamics that can be obtained in no other way. This study develops new data sets and experimental methods to quantify the dynamics of soil loss that represent different stages in the development of soil functions. In conclusion, application of the new data tests how simulation and observation can be coupled to guide beneficial intervention in soils in order to control soil erosion, especially that on the steep slope.  

How to cite: Xu, X.: Experimental Erosion: theory and practice of soil conservation experiments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11311, https://doi.org/10.5194/egusphere-egu26-11311, 2026.

In arid environments, farmland shelterbelts are essential for harmonizing limited water resources with ecological and agricultural expansion. These systems function as critical protective barriers that enhance environmental stability and crop productivity by curbing aeolian erosion and refining local microclimates. However, the transition in irrigation techniques has diminished lateral seepage, leading to intensified water stress and heightened risks of shelterbelt degradation. Current spatial planning often fails to sufficiently integrate hydrological equilibrium with habitat suitability. To address this research gap, this study develops a multi-objective framework for spatial afforestation. The approach couples the SWAT distributed hydrological model with a vegetation-specific water demand simulation to evaluate the establishment potential of Populus alba var. pyramidalis. Two distinct irrigation regimes—traditional border irrigation and low-pressure pipe irrigation—were simulated to compare their impacts on afforestation capacity. The results indicate that evapotranspiration represents the primary component of water consumption, followed by surface runoff and lateral flow. The findings reveal a spatial gradient in afforestation potential, which decreases progressively from the central irrigation districts toward the desert peripheries. Under traditional irrigation regimes, agricultural intensification zones can support a higher tree density, whereas the transition to low-pressure pipe irrigation necessitates an adjustment in the optimal density range. These outcomes provide a scientific foundation for coordinating water allocation between forestry and agriculture, refining shelterbelt configurations, and fostering long-term ecological sustainability in water-limited regions.

How to cite: Ren, Y., He, X., Jiang, Q., and Zhang, F.: Optimizing the Spatial Configuration of Farmland Shelterbelts in Arid Oases under Hydrological Constraints: A SWAT-Based Scenario Analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11373, https://doi.org/10.5194/egusphere-egu26-11373, 2026.

Large-scale afforestation is a cornerstone of global ecological restoration, yet its impact on landscape connectivity remains poorly quantified, limiting our understanding of its long-term ecological effectiveness. Traditional assessments rely on structure-based metrics can misrepresent fragmentation trends by overlooking ecological connectivity.

Here, we present a comprehensive analysis of forest dynamics in China's Yellow River Basin, a globally significant restoration region, employing a multi-metric framework that integrates the Connectivity-based Fragmentation Index (CFI) with structure- and aggregation-based indices (SFI, AFI). The results reveal that despite three decades of massive afforestation (1991-2023) driving an 81.6% net forest expansion, this greening has induced a nuanced reorganization of the landscape. Crucially, the perceived trend in fragmentation depended entirely on the metric applied. SFI which sensitive to patch proliferation indicated increased fragmentation for 60% of the forest area, aligning with the widespread establishment of new, often small patches. In stark contrast, CFI which prioritizes functional connectivity revealed a markedly lower proportion (40%) of forest area undergoing increased fragmentation. The finding that CFI indicates less severe fragmentation here than globally observed (>50%) reveals that afforestation has substantially preserved, or even enhanced, functional connectivity amidst growing landscape complexity. Our findings highlight the necessity of integrating connectivity, aggregation, and structural-focused metrics into global fragmentation assessments to accurately evaluate the ecological outcomes of restoration efforts.

How to cite: Gong, M. and Yu, Y.: An integrated connectivity-structure assessment reveals the effects of large-scale afforestation on landscape fragmentation patterns, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12077, https://doi.org/10.5194/egusphere-egu26-12077, 2026.

EGU26-15435 | Posters on site | SSS11.2

Effects of mixed plant root systems on soil water retention in the Loess Plateau 

Sijing Zhang, Jiamu pan, and Jianye Ma

Plant roots play a critical role in improving soil water retention by regulating soil structure and pore characteristics. Although the effects of monoculture root systems on soil hydrological properties have received considerable attention, natural succession drives vegetation from monoculture to more structurally stable mixed-species patterns, resulting in more complex root systems. However, the mechanisms by which mixed root systems affect soil water retention remain poorly understood. This study examined fibrous and tap root systems of herbaceous plants under three mixing ratios: 1:3 (tap root dominant), 2:2 (equal proportions of fibrous and tap roots), and 3:1 (fibrous root dominant), with bare land as a control. The effects of root systems on soil initial water content (IWC) and saturated water content (SWC) under different mixing patterns were analyzed. The results showed that mixed root systems significantly improved soil water retention, with the 2:2 mixing ratio exhibiting the most pronounced effects. Under this ratio, IWC and SWC increased by 58.4% and 39.6%, respectively, compared to bare land. With increasing root density, IWC and SWC first increased and then decreased, with a critical root length density of 10.4 cm/cm³. Within the mixed system, fibrous roots (IWC: 12.2%; SWC: 16.0%) had stronger effects on soil water retention than tap roots (IWC: 1.5%; SWC: 11.7%). Root systems primarily influence soil water retention indirectly by regulating soil organic matter rather than through direct effects. This study provides theoretical support for understanding infiltration mechanisms of vegetation in the Loess Plateau region.

How to cite: Zhang, S., pan, J., and Ma, J.: Effects of mixed plant root systems on soil water retention in the Loess Plateau, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15435, https://doi.org/10.5194/egusphere-egu26-15435, 2026.

Elements are the indelible imprint left by the Earth on rivers and life entities. Here, we unveil the evident inheritance of persistent elements, from the Earth's upper continental crust, through the Yellow River, to the associated life entities along a 5,200 km continuum of the Mother River of the Chinese nation. In particular, we confirm the coherence of “metal community” composed of more than 60 detected metallic elements throughout water, suspended particulate matter, and sediment in the river, and further extend such elemental correlations to fish species and even the tissues in human body. Our study also reveals an interesting fact that media-specific metal abundance occurs in a persistent inverse order with metal toxicity, and microbial cells in the river tend to establish their own self-defense systems against toxic metals through hosting higher-level resistance genes. These findings not only stress the human needs for integrated trace element provision, but also highlight the fundamental importance of elemental coherence in the river-coordinated Earth-life systems for establishing drinking water and dietary standards that benefit ecological and human health.

How to cite: Wang, Y.: Key to the Yellow River's Material Cycle and Implications for River Basin Management, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16154, https://doi.org/10.5194/egusphere-egu26-16154, 2026.

As climate change accelerates, understanding the mechanisms of ecosystem phenology in vulnerable regions is crucial for terrestrial environments. This research systematically used remote sensing data to study the dynamic changes in vegetation phenology in the upper and middle Yellow River Basin (UMYRB), examined the effects of environmental shifts on vegetation phenology, and quantified the contributions of different driving factors. The key findings are as follows: (1) As elevation and latitude increase, the start of the growing season (SOGS) is generally delayed, particularly in the northwest and northeast, where it typically occurs between days 140 and 180. The end of the growing season (EOGS) shifts later from west to east, with 86.66% of the area experiencing EOGS between days 260 and 300. From 1981 to 2016, approximately 61.35% of the area exhibited a trend of advancing SOGS (-0.09 days/year), while 60.10% of the area showed a delay in EOGS (0.08 days/year). (2) Both SOGS and EOGS exhibit significant spatial variability influenced by climatic factors, with the primary pre-season impact period ranging from 1 to 4 months. SOGS is typically negatively correlated with precipitation and temperature, whereas EOGS often shows a positive correlation with precipitation and temperature. Temperature and solar radiation are the primary climatic drivers influencing vegetation phenology in the study region. Temperature accounts for 53.57% of SOGS and 50.73% of EOGS, advancing them by 0.18 and 0.22 days, respectively. Solar radiation also significantly influences SOGS and EOGS, advancing them by 0.14 and 0.13 days, respectively. While the impact of diurnal temperature range (DTR) and precipitation is less pronounced, DTR is notably important in high-altitude regions. (3) Vegetation phenology varies significantly across various vegetation types. Forests usually experience an earlier SOGS and a later EOGS, while shrubs in high-altitude areas tend to have a delayed SOGS due to a greater diurnal temperature range. The growing season of grasslands and wetlands is more significantly affected by precipitation and temperature, particularly in the eastern and northern regions. Solar radiation significantly impacts the entire growing season in croplands and grasslands in the central and southern regions. Uncertainty in vegetation phenology was assessed through Bootstrap analysis, and the spatial adaptability of climate driving factors was optimized using the ridge regression model. The results indicate that despite certain sources of uncertainty, the analysis demonstrates high accuracy and stability, providing a reliable scientific basis for ecological management and restoration.

How to cite: Yu, K., Li, X., Li, Z., Li, P., and Xu, G.: Spatiotemporal Evolution of Vegetation Phenology and Its Response to Environmental Factors in the Upper and Middle Reaches of the Yellow River Basin, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16719, https://doi.org/10.5194/egusphere-egu26-16719, 2026.

EGU26-18012 | ECS | Orals | SSS11.2

Sediment connectivity as a decision-support framework for sustainable management of ungauged catchments 

Simona Koreňová, Monika Šulc Michalková, Ronald Pöppl, Radek Bachan, Zdeněk Máčka, Dominik Holiš, and Eva Stará

Sediment connectivity provides a powerful conceptual and quantitative framework for understanding how water and sediment are transferred from hillslopes to channels and downstream receptors. Yet, its integration into practical watershed management remains limited, particularly in ungauged catchments where hydrological and sediment monitoring data are lacking. This study investigates how sediment connectivity can be utilized to identify critical sediment source–pathway–sink linkages that control the emergence of sediment-related management issues and indicate where management interventions are most effective for mitigating risk across diverse landscapes in the Czech Republic.

We analyzed sediment connectivity in three types of ungauged catchments representing key management contexts: (i) forested mountain headwaters affected by historical torrent control works, (ii) forested tributary catchments contributing sediment to the Dyje/Thaya River within the Podyjí/Thayatal National Park, and (iii) small agricultural catchments exposed to torrential rainfall and severe soil erosion. Across all sites, field-based mapping of sediment sources, buffers, and barriers was combined with GIS-based connectivity metrics, particularly the Index of Connectivity (IC) and the Effective Catchment Area (ECA). In agricultural catchments, these approaches were further integrated with process-based erosion modelling (WEPP and GeoWEPP) and validated using UAV-derived measurements of event-scale soil loss. The results indicate that management-relevant sediment dynamics emerge from the interaction of structural and functional connectivity rather than from static landscape properties alone. In forested headwaters, roads and torrent control structures act as barriers and buffers, reducing hillslope–channel and longitudinal connectivity. This allows critical sediment delivery zones and sediment-fed reaches to be identified. In protected, dam-fragmented catchments, the abundance of sediment sources and high structural connectivity do not result in effective sediment delivery, as large woody debris, small dams, and floodplain storage interrupt sediment transfer. In agricultural catchments, IC-derived flow paths closely match observed erosion patterns, and land-use scenarios demonstrate that the targeted placement of grass strips or low-erosion crops can substantially reduce sediment connectivity, erosion risk, and the downstream transfer of sediment during extreme rainfall events. Overall, the study shows that sediment connectivity offers a unifying and transferable framework for linking sediment sources, pathways, and impacts across diverse environments. When combined with field observations and erosion modelling, connectivity mapping supports the identification of critical reaches, disconnections, and hot spots and provides guidance for targeted, landscape-based mitigation of sediment-related issues in data-poor catchments.

How to cite: Koreňová, S., Šulc Michalková, M., Pöppl, R., Bachan, R., Máčka, Z., Holiš, D., and Stará, E.: Sediment connectivity as a decision-support framework for sustainable management of ungauged catchments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18012, https://doi.org/10.5194/egusphere-egu26-18012, 2026.

EGU26-1897 | ECS | Posters on site | EOS4.4

The Unreliable Narrator: LSTM Internal States Fluctuate with Software Environments Despite Robust Predictions 

Ryosuke Nagumo, Ross Woods, and Miguel Rico-Ramirez

Since the robust performance of Long Short-Term Memory (LSTM) networks was established, their physics-awareness and interpretability have become central topics in hydrology. Seminal works (e.g., Lees et al. (2022)) have argued that LSTM internal states spontaneously capture hydrological concepts, and suggested that cell states can represent soil moisture dynamics despite not being explicitly trained on such data. Conversely, more recent studies (e.g., Fuente et al. (2024)) demonstrated that mathematical equifinality causes non-unique LSTM representations with different initialisations.

In this work, we report an arguably more systematic "bug" in the software environment that causes instability in internal states. We initially aimed to investigate how internal states behave differently when trained with or without historical observation data. We encountered this issue while reassembling a computational stack and attempting to replicate the initial results, as the original Docker environment was not preserved. While random seeds have been indicated to lead to different internal state trajectories, we found the computational backend (e.g., changing CUDA versions, PyTorch releases, or dependent libraries) also produces them. These are the findings:

  • In gauged catchments: Discharge predictions remained stable (in one catchment, NSE was 0.88 ± 0.01) across computational environments, yet the internal temporal variations (e.g., silhouette, mean, and std of cell states) fluctuated noticeably.
  • In pseudo-ungauged scenarios: The prediction performance itself became more reliant on the computational environment (in the same catchment, NSE dropped to 0.31 ± 0.15), yet the internal temporal variations of the cell states fluctuated only as much as they did during the gauged scenario.

These findings suggests that instability in the computational environment poses not only a risk of altering interpretability in training (by altering internal states) but also casts doubt on reliability in extrapolation (by altering outputs).

It is worth mentioning that we confirmed this is not a replicability issue; completely identical cell states and predictions are produced when the computational environment, seeds, and training data are held constant. We argue that such stability must be established as a standard benchmark before assigning physical meaning to deep learning internals.

How to cite: Nagumo, R., Woods, R., and Rico-Ramirez, M.: The Unreliable Narrator: LSTM Internal States Fluctuate with Software Environments Despite Robust Predictions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1897, https://doi.org/10.5194/egusphere-egu26-1897, 2026.

EGU26-2771 | Posters on site | EOS4.4

New EGU Manuscript Types: Limitations, Errors, Surprises, and Shortcomings as Opportunities for New Science (LESSONS) 

John Hillier, Ulrike Proske, Stefan Gaillard, Theresa Blume, and Eduardo Queiroz Alves

Moments or periods of struggle not only propel scientists forward, but sharing these experiences can also provide valuable lessons for others. Indeed, the current bias towards only publishing ‘positive’ results arguably impedes scientific progress as mistakes that are not learnt from are simply repeated. Here we present a new article type in EGU journals covering LESSONS learnt to help overcome this publishing bias. LESSONS articles describe the Limitations, Errors, Surprises, Shortcomings, and Opportunities for New Science emerging from the scientific process, including non-confirmatory and null results. Unforeseen complications in investigations, plausible methods that failed, and technical issues are also in scope. LESSONS thus fit the content of the BUGS session and can provide an outlet for articles based on session contributions. Importantly, a LESSONS Report will offer a substantial, valuable insight. LESSONS Reports are typically short (1,000-2,000 words) to help lower the barrier to journal publication, whilst LESSONS Posts (not peer-reviewed, but with a DOI on EGUsphere) can be as short as 500 words to allow early-stage reporting. LESSONS aim to destigmatise limitations, errors, surprises and shortcomings and to add these to the published literature as opportunities for new science – we invite you to share your LESSONS learnt.

 

Finally, a big thank you from this paper’s ‘core’ writing team to the wider group who have helped shape the LESSONS idea since EGU GA in 2025, including PubCom and in particular its Chair Barbara Ervens.

How to cite: Hillier, J., Proske, U., Gaillard, S., Blume, T., and Queiroz Alves, E.: New EGU Manuscript Types: Limitations, Errors, Surprises, and Shortcomings as Opportunities for New Science (LESSONS), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2771, https://doi.org/10.5194/egusphere-egu26-2771, 2026.

EGU26-3077 | ECS | Posters on site | EOS4.4

False Starts and Silver Linings: A Photocatalytic Journey with Layered Double Hydroxides 

Anna Jędras and Jakub Matusik

Photocatalysis is frequently presented in the literature as a straightforward route toward efficient degradation of pollutants, provided that the “right” material is selected. Layered double hydroxides (LDH) are often highlighted as promising photocatalysts due to their tunable composition and reported activity in dye degradation. Motivated by these claims, this study evaluated LDH as mineral analogs for photocatalytic water treatment, ultimately uncovering a series of unexpected limitations, methodological pitfalls, and productive surprises.

In the first stage, Zn/Cr, Co/Cr, Cu/Cr, and Ni/Cr LDHs were synthesized and tested for photocatalytic degradation of methylene blue (0.02 mM) and Acid Blue Dye 129 (0.3 mM). Contrary to expectations,1 photocatalytic performance was consistently low. After one hour of irradiation, concentration losses attributable to photocatalysis did not exceed 15%, while most dye removal resulted from adsorption. Despite extensive efforts to optimize synthesis protocols, catalyst composition, and experimental conditions, this discrepancy with previously published studies could not be resolved.

To overcome limitations related to particle dispersion, surface accessibility, and charge-carrier separation, a second strategy was pursued by incorporating clay minerals as supports.2 Zn/Cr LDH, identified as the most active composition in preliminary tests, was coprecipitated with kaolinite, halloysite, and montmorillonite. Experiments with methylene blue (0.1 mM) and Acid Blue 129 (0.3 mM) demonstrated enhanced adsorption capacities. However, photocatalytic degradation efficiencies remained poor, typically below 10% after one hour, indicating that apparent performance gains were largely adsorption-driven rather than photochemical.

This failure proved to be a turning point. Instead of abandoning LDH entirely, they were combined with graphitic carbon nitride (GCN) to form a heterostructure.3 This approach resulted in a dramatic improvement: after optimization of the synthesis protocol, 99.5% of 1 ppm estrone was degraded within one hour.4 Further modifications were explored by introducing Cu, Fe, and Ag into the LDH/GCN system. While Cu and Fe suppressed photocatalytic activity, silver, at an optimized loading, reduced estrone concentrations below the detection limit within 40 minutes.5

This contribution presents a full experimental arc - from promising hypotheses that failed, through misleading adsorption-driven “successes,” to an ultimately effective but non-intuitive solution - highlighting the value of negative results and surprises as drivers of scientific progress.

This research was funded by the AGH University of Krakow, grant number 16.16.140.315.

Literature:

1            N. Baliarsingh, K. M. Parida and G. C. Pradhan, Ind. Eng. Chem. Res., 2014, 53, 3834–3841.

2            A. Í. S. Morais, W. V. Oliveira, V. V. De Oliveira, L. M. C. Honorio, F. P. Araujo, R. D. S. Bezerra, P. B. A. Fechine, B. C. Viana, M. B. Furtini,
              E. C. Silva-Filho and J. A. Osajima, Journal of Environmental Chemical Engineering, 2019, 7, 103431.

3            B. Song, Z. Zeng, G. Zeng, J. Gong, R. Xiao, S. Ye, M. Chen, C. Lai, P. Xu and X. Tang, Advances in Colloid and Interface Science, 2019, 272, 101999.

4            A. Jędras, J. Matusik, E. Dhanaraman, Y.-P. Fu and G. Cempura, Langmuir, 2024, 40, 18163–18175.

5            A. Jędras, J. Matusik, J. Kuncewicz and K. Sobańska, Catal. Sci. Technol., 2025, 15, 6792–6804.

How to cite: Jędras, A. and Matusik, J.: False Starts and Silver Linings: A Photocatalytic Journey with Layered Double Hydroxides, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3077, https://doi.org/10.5194/egusphere-egu26-3077, 2026.

EGU26-4074 | Orals | EOS4.4

Instructive surprises in the hydrological functioning of landscapes 

James Kirchner, Paolo Benettin, and Ilja van Meerveld

BUGS can arise in individual research projects, but also at the level of communities of researchers, leading to shifts in the scientific consensus.  These community-level BUGS typically arise from observations that are surprising to (or previously overlooked by) substantial fractions of the research community.  In this presentation, we summarize several community-level BUGS in our field: specifically, key surprises that have transformed the hydrological community's understanding of hillslope and catchment processes in recent decades.  

Here are some examples.  (1) Students used to learn (and some still do today) that storm runoff is dominated by overland flow.  But stable isotope tracers have convincingly shown instead that even during storm peaks, streamflow is composed mostly of water that has been stored in the landscape for weeks, months, or years.  (2) Maps, and most hydrological theories, have typically depicted streams as fixed features of the landscape.  But field mapping studies have shown that stream networks are surprisingly dynamic, with up to 80% of stream channels going dry sometime during the year.  (3) Textbooks have traditionally represented catchment storage as a well-mixed box.  But tracer time series show fractal scaling that cannot be generated by well-mixed boxes, forcing a re-think of our conceptualization of subsurface storage and mixing.  (4) Waters stored in aquifers, and the waters that drain from them, have traditionally been assumed to share the same age.  But tracers show that waters draining from aquifers are often much younger than the groundwaters that are left behind, and this was subsequently shown to be an inevitable result of aquifer heterogeneity. 

Several examples like these, and their implications, will be briefly discussed, with an eye to the question: how can we maximize the chances for future instructive surprises?

How to cite: Kirchner, J., Benettin, P., and van Meerveld, I.: Instructive surprises in the hydrological functioning of landscapes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4074, https://doi.org/10.5194/egusphere-egu26-4074, 2026.

Coming from geosciences, we hopefully know what we want to do. Coming from numerics, however, we often know quite well what we are able to do and look for a way to sell it to the community. A few years ago, deep-learning techniques brought new life into the glaciology community. These approaches  allowed for simulations of glacier dynamics at an unprecedented computational performance and motivated several researchers to tackle the numerous open questions about past and present glacier dynamics, particularly in alpine regions. From another point of view, however, it was also tempting to demonstrate that the human brain is still more powerful than artificial intelligence by developing a new classical numerical scheme that can compete with deep-learning techniques concerning its efficiency.

Starting point was, of course, the simplest approximation to the full 3-D Stokes equations, the so-called shallow ice approximation (SIA). Progress was fast and the numerical performance was even better than expected. The new numerical scheme enabled simulations with spatial resolutions of 25 m on a desktop PC, while previous schemes did not reach simulations below a few hundred meters.

However, the enthusiasm pushed the known limitations of the SIA a bit out of sight. Physically, the approximation is quite bad on rugged terrain, particularly in narrow valleys. So the previous computational limitations have been replaced by physical limitations since high resolutions are particularly useful for rugged topographies. In other words, a shabby house has a really good roof now.

What are the options in such a situation?

  • Accept that there is no free lunch and avoid contact to the glacialogy community in the future.
  • Continue the endless discussion about the reviewers' opinion that a spatial resolution of 1 km is better than 25 m.
  • Find a real-world data set that matches the results of the model and helps to talk the problems away.
  • Keep the roof and build a new house beneath. Practically, this would be developing a new approximation to the full 3-D Stokes equations that is compatible to the numerical scheme and reaches an accuracy similar to those of the existing approximations.
  • Take the roof and put it on one of the existing solid houses. Practically, this would be an extension of the numerical scheme towards more complicated systems of differential equations. Unfortunately, efficient numerical schemes are typically very specific. So the roof will not fit easily and it might leak.

The story is open-ended, but there will be at least a preliminary answer in the presentation.

 

How to cite: Hergarten, S.: How useful is a new roof on a shabby house? An example from glacier modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4196, https://doi.org/10.5194/egusphere-egu26-4196, 2026.

EGU26-4587 | Posters on site | EOS4.4

The importance of describing simple methods in climate sensitivity literature 

Anna Zehrung, Andrew King, Zebedee Nicholls, Mark Zelinka, and Malte Meinshausen

“Show your working!” – is the universal phrase drilled into science and maths students to show a clear demonstration of the steps and thought processes used to reach a solution (and to be awarded full marks on the exam). 

Beyond the classroom, “show your working” becomes the methods section on every scientific paper, and is critical for the transparency and replicability of the study. However, what happens if parts of the method are considered assumed knowledge, or cut in the interests of a word count? 

An inability to fully replicate the results of a study became the unexpected glitch at the start of my PhD. Eager to familiarise myself with global climate model datasets, I set out to replicate the results of a widely cited paper which calculates the equilibrium climate sensitivity (ECS) across 27 climate models. The ECS is the theoretical global mean temperature response to a doubling of atmospheric CO2 relative to preindustrial levels. A commonly used method to calculate the ECS is to apply an ordinary least squares regression to global annual mean temperature and radiative flux anomalies. 

Despite the simplicity of a linear regression between two variables, we obtained ECS estimates for some climate models that differed from those reported in the original study, even though we followed the described methodology. However, the methodology provided only limited detail on how the raw climate model output – available at regional and monthly scales – was processed to obtain global annual mean anomalies. Differences in these intermediate processing steps can, in turn, lead to differences in ECS estimates.

Limited reporting of data-processing steps is common in the ECS literature. Whether these steps are considered assumed knowledge or deemed too simple to warrant explicit description, we demonstrate that, for some models, they can materially affect the resulting ECS estimate. While the primary aim of our study is to recommend a standardised data-processing pathway for ECS calculations, a secondary aim is to highlight the lack of transparency in key methodological details across the literature. A central takeaway is the importance of clearly documenting all processing steps – effectively, to “show your working” – and to emphasise the critical role of a detailed methods section.

How to cite: Zehrung, A., King, A., Nicholls, Z., Zelinka, M., and Meinshausen, M.: The importance of describing simple methods in climate sensitivity literature, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4587, https://doi.org/10.5194/egusphere-egu26-4587, 2026.

Observation of atmospheric constituents and processes is not easy. As atmospheric chemists, we use sensitive equipment, for example mass spectrometers, that we often set up in a (remote) location or on a moving platform for a few-weeks campaign to make in-situ observations. All this with the goal of explaining more and more atmospheric processes, and to verify and improve atmospheric models. However, glitches can happen anywhere in an experiment, be it in the experimental design, setup, or instrumental performance. Thus, complete data coverage during such a campaign is not always a given, resulting in gaps in (published) datasets. And the issue with air is that you can never go back and measure the exact same air again. Here, I would like to share some stories behind such gaps, and what we learned from them. This presentation aims to encourage early career researchers who might be struggling with feelings of failure when bugs, blunders and glitches happen in their experiments - you are not alone! I will share what we learned from these setbacks and how each of them improved our experimental approaches.

How to cite: Pfannerstill, E. Y.: Why are there gaps in your measurements? Sharing the stories behind the missing datapoints, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5494, https://doi.org/10.5194/egusphere-egu26-5494, 2026.

Over a 24-year research period, three successive experimental investigations led to three publications, each of which falsified the author’s preceding hypothesis and proposed a revised conceptual framework. Despite an initial confidence in having identified definitive solutions, subsequent experimental evidence consistently demonstrated the limitations and inaccuracies of earlier interpretations. This iterative process ultimately revealed that samples, in particular geological reference materials, sharing identical petrographic or mineralogical descriptions are not necessarily chemically equivalent and can exhibit markedly different behaviors during chemical digestion procedures. These findings underscore the critical importance of continuous hypothesis testing, self-falsification, and experimental verification in scientific research, particularly when working with reference materials assumed to be identical. I will be presenting data on the analysis of platinum group elements (PGE) and osmium isotopes in geological reference materials (chromitites, ultramafic rocks and basalts), which demonstrates the need for challenging matrices for method validation. 

How to cite: Meisel, T. C.: Self-falsification as a driver of scientific progress: Insights from long-term experimental research, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5771, https://doi.org/10.5194/egusphere-egu26-5771, 2026.

EGU26-6794 | ECS | Orals | EOS4.4

Back to square one (again and again): Finding a bug in a complex global atmospheric model   

Nadja Omanovic, Sylvaine Ferrachat, and Ulrike Lohmann

In atmospheric sciences, a central tool to test hypotheses are numerical models, which aim to represent (part of) our environment. One such model is the weather and climate model ICON [1], which solves the Navier-Stokes equation for capturing the dynamics and parameterizes subgrid-scale processes, such as radiation, cloud microphysics, and aerosol processes. Specifically, for the latter exists the so-called Hamburg Aerosol Module (HAM [2]), which is coupled to ICON [3] and predicts the evolution of aerosol populations using two moments (mass mixing ratio and number concentration). The high complexity of aerosols is reflected in the number of aerosol species (total of 5), number of modes (total of 4), and their mixing state and solubility. The module calculates aerosol composition and number concentration, their optical properties, their sources and sinks, and their interactions with clouds via microphysical processes. Aerosol emissions are sector-specific and based on global emission inventories or dynamically computed.

Within our work, we stumbled upon an interesting pattern occurrence in our simulations upon changing/turning off single emission sectors. If we, e.g., removed black carbon from aircraft emissions, the strongest changes emerged over the African continent, which is not the region where we were expecting to see the strongest response. Further investigations revealed that this pattern emerges independently of the emission sector as well as species, confirming our suspicion that we are facing a bug within HAM. Here, we want to present how we approached the challenge of identifying and tackling a bug within a complex module with several thousand lines of code.

 

[1] G. Zängl, D. Reinert, P. Ripodas, and M. Baldauf, “The ICON (ICOsahedral Non-hydrostatic) modelling framework of DWD and MPI-M: Description of the non-hydrostatic dynamical core,” Quarterly Journal of the Royal Meteorological Society, vol. 141, no. 687, pp. 563–579, 2015, ISSN: 1477-870X. DOI: 10.1002/qj.2378

[2] P. Stier, J. Feichter, S. Kinne, S. Kloster, E. Vignati, J. Wilson, L. Ganzeveld, I. Tegen, M. Werner, Y. Balkanski, M. Schulz, O. Boucher, A. Minikin, and A. Petzold, “The aerosol-climate model ECHAM5-HAM,” Atmospheric Chemistry and Physics, 2005. DOI: 10.5194/acp-5-1125-2005

[3] M. Salzmann, S. Ferrachat, C. Tully, S. M¨ unch, D. Watson-Parris, D. Neubauer, C. Siegenthaler-Le Drian, S. Rast, B. Heinold, T. Crueger, R. Brokopf, J. Mülmenstädt, J. Quaas, H. Wan, K. Zhang, U. Lohmann, P. Stier, and I. Tegen, “The Global Atmosphere-aerosol Model ICON-A-HAM2.3–Initial Model Evaluation and Effects of Radiation Balance Tuning on Aerosol Optical Thickness,” Journal of Advances in Modeling Earth Systems, vol. 14, no. 4,e2021MS002699, 2022, ISSN: 1942-2466. DOI: 10.1029/2021MS002699

How to cite: Omanovic, N., Ferrachat, S., and Lohmann, U.: Back to square one (again and again): Finding a bug in a complex global atmospheric model  , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6794, https://doi.org/10.5194/egusphere-egu26-6794, 2026.

In situ cloud measurements are essential for understanding atmospheric processes and establishing a reliable ground truth. Obtaining these data is rarely straightforward. Challenges range from accessing clouds in the first place to ensuring that the instrument or environment does not bias the sample. This contribution explores several blunders and unexpected glitches encountered over fifteen years of field campaigns.

I will share stories of mountain top observations where blowing snow was measured instead of cloud ice crystals and the ambitious but failed attempt to use motorized paragliders for sampling. I also reflect on winter campaigns where the primary obstacles were flooding and mud rather than cold and snow. While these experiences were often frustrating, they frequently yielded useful data or led to new insights. One such example is the realization that drone icing is not just a crash risk but can also serve as a method for measuring liquid water content. By highlighting these setbacks and the successful data that emerged despite them, I aim to foster a discussion on the value of trial and error and persistence in atmospheric physics.

How to cite: Henneberger, J.: How Not to Measure a Cloud: Lessons from Fifteen Years of Fieldwork Failures, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8228, https://doi.org/10.5194/egusphere-egu26-8228, 2026.

EGU26-8359 | ECS | Posters on site | EOS4.4

Do trees save lives under climate change? It’s complicated  

Nils Hohmuth, Nora L. S. Fahrenbach (presenting), Yibiao Zou (presenting), Josephine Reek, Felix Specker, Tom Crowther, and Constantin M. Zohner

Forests are powerful climate regulators: Their CO2 uptake provides a global biogeochemical cooling effect, and in the tropics, this cooling is further strengthened by evapotranspiration. Given that temperature-related mortality is a relevant global health burden, which is expected to increase under climate change, we set out to test what we thought was a promising hypothesis: Can forests reduce human temperature-related mortality from climate change? 

To test this, we used simulated temperature changes to reforestation from six different Earth System Models (ESMs) under a future high-emission scenario, and paired them with age-specific population data and three methodologically different temperature-mortality frameworks (Cromar et al. 2022, Lee et al. 2019, and Carleton et al. 2022). We expected to find a plausible range of temperature-related mortality outcomes attributable to global future forests conservation efforts.

Instead, our idea ran head-first into a messy reality. Firstly, rather than showing a clear consensus, the ESMs produced a wide range of temperature responses to reforestation, varying both in magnitude and sign. This is likely due to the albedo effect, varying climatological tree cover and land use processes implemented by the models, in addition to internal variability which we could not reduce due to the existence of only one ensemble member per model. Consequently, the models disagreed in many regions on whether global forest conservation and reforestation would increase or decrease temperature by the end of the century.

The uncertainties deepened when we incorporated the mortality data. Mortality estimates varied by up to a factor of 10 depending on the ESM and mortality framework used. Therefore, in the end, the models could not even agree on whether forests increased or decreased temperature-related mortality. We found ourselves with a pipeline that amplified uncertainties of both the ESM and mortality datasets.

For now, the question remains wide open: Do trees save us from temperature-related deaths in a warming world, and if so, by how much?

 

* The first two authors contributed equally to this work.

How to cite: Hohmuth, N., Fahrenbach (presenting), N. L. S., Zou (presenting), Y., Reek, J., Specker, F., Crowther, T., and Zohner, C. M.: Do trees save lives under climate change? It’s complicated , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8359, https://doi.org/10.5194/egusphere-egu26-8359, 2026.

EGU26-10401 | ECS | Orals | EOS4.4

The empty mine: Why better tools do not help you find new diamonds 

Ralf Loritz, Alexander Dolich, and Benedikt Heudorfer

Hydrological modelling has long been shaped by a steady drive toward ever more sophisticated models. In the era of machine learning, this race has turned into a relentless pursuit of complexity: deeper networks and ever more elaborate architectures that often feel outdated by the time the ink on the paper is dry. Motivated by a genuine belief in methodological progress, I, like many others, spent considerable effort exploring this direction, driven by the assumption that finding the “right” architecture or model would inevitably lead to better performance. This talk is a reflection on that journey; you could say my own Leidensweg. Over several years, together with excellent collaborators, I explored a wide range of state-of-the-art deep-learning approaches for rainfall–runoff modelling and other hydrological modelling challenges. Yet, regardless of the architecture or training strategy, I repeatedly encountered the same performance ceiling. In parallel, the literature appeared to tell a different story, with “new” models regularly claiming improvements over established baselines. A closer inspection, however, revealed that rigorous and standardized benchmarking is far from common practice in hydrology, making it difficult to disentangle genuine progress from artefacts of experimental design. What initially felt like a failure to improve my models turned out to be a confrontation with reality. The limiting factor was not the architecture, but the problem itself. We have reached a point where predictive skill is increasingly bounded by the information content of our benchmark datasets and maybe more importantly by the way we frame our modelling challenges, rather than by model design. Like many others, I have come to believe that if we want to move beyond the current performance plateau, the next breakthroughs are unlikely to come from ever more complex models alone. Instead, as a community, we need well-designed model challenges, better benchmarks, and datasets that meaningfully expand the information available to our models to make model comparisons more informative.

How to cite: Loritz, R., Dolich, A., and Heudorfer, B.: The empty mine: Why better tools do not help you find new diamonds, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10401, https://doi.org/10.5194/egusphere-egu26-10401, 2026.

EGU26-13630 | ECS | Orals | EOS4.4

How NOT to identify streamflow events? 

Larisa Tarasova and Paul Astagneau

Examining catchment response to precipitation at event scale is useful for understanding how various hydrological systems store and release water. Many of such event scale characteristics, for example event runoff coefficient and event time scale are also important engineering metrics used for design. However, deriving these characteristics requires identification of discrete precipitation-streamflow events from continuous hydrometeorological time series.

Event identification is not at all a trivial task. It becomes even more challenging when working with very large datasets that encompass a wide range of spatial and temporal dynamics. Approaches range from visual expert judgement to baseflow-separation-based methods and objective methods based on the coupled dynamics of precipitation and streamflow. Here, we would like to present our experience in the quest to devise the “ideal” method for large datasets – and trust us, we tried, a lot. We demonstrate that expert-based methods can be seriously flawed simply by changing a few meta parameters, such as the length of displayed periods, baseflow-separation-based methods deliver completely opposite results when different underlying separation methods are selected, and objective methods suddenly fail when dynamics with different temporal scales are simultaneously present.

Ultimately, we realized that finding a one-size-fits-all method was not possible and that compromises had to be made to select sufficiently representative events across large datasets. Therefore, we advocate for pragmatic case-specific evaluation criteria and for transparency in event identification to make study results reproducible and fit for purpose, if not perfect.

How to cite: Tarasova, L. and Astagneau, P.: How NOT to identify streamflow events?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13630, https://doi.org/10.5194/egusphere-egu26-13630, 2026.

EGU26-14148 | Orals | EOS4.4 | Highlight

Buggy benefits of more fundamental climate models 

Bjorn Stevens, Marco Giorgetta, and Hans Segura

A defining attribute of global-storm resolving models is that modelling is replaced by simulation.  In addition to overloading the word “model”  this avails the developer of a much larger variety of tests, and brings about a richer interplay with their intuition.  This has proven helpful in identifying and correcting many mistakes in global-storm resolving models that traditional climate models find difficult to identify, and usually compensate by “tuning.”  It also means that storm-resolving models are built and tested in a fundamentally different way than are traditional climate models. In this talk I will review the development of ICON as a global storm resolving model to illustrate how this feature, of trying to simulate rather than model the climate system, has helped identify a large number of long-standing bugs in code bases inherited from traditional models; how this can support open development; and how sometimes these advantages also prove to be buggy.

How to cite: Stevens, B., Giorgetta, M., and Segura, H.: Buggy benefits of more fundamental climate models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14148, https://doi.org/10.5194/egusphere-egu26-14148, 2026.

EGU26-14374 | Orals | EOS4.4

The dangerous temptation of optimality in hydrological and water resources modelling 

Thorsten Wagener and Francesca Pianosi

Hydrological and water systems modelling has long been driven by the search for better models. We do so by searching for models or at least parameter combinations that provide the best fit to given observations. We ourselves have contributed to this effort by developing new methods and by publishing diverse case studies. However, we repeatedly find that searching for and finding an optimal model is highly fraught in the presence of unclear signal-to-noise ratios in our observations, of incomplete models and of highly imbalanced databases. We present examples of our own work through which we have realized that achieving optimality was possible but futile unless we give equal consideration to issues of consistency, robustness and problem framing. We argue here that the strong focus on optimality continues to be a hindrance for advancing hydrologic science and for transferring research achievements into practice – probably more so than in other areas of the geosciences.

How to cite: Wagener, T. and Pianosi, F.: The dangerous temptation of optimality in hydrological and water resources modelling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14374, https://doi.org/10.5194/egusphere-egu26-14374, 2026.

Among soil physical analyses, determination of the soil particle-size distribution (PSD) is arguably the most fundamental. The standard methodology combines sieve analysis for sand fractions with sedimentation-based techniques for silt and clay. Established sedimentation methods include the pipette and hydrometer techniques. More recently, the Integral Suspension Pressure (ISP) method has become available, which derives PSD by inverse modeling of the temporal evolution of suspension pressure measured at a fixed depth in a sedimentation cylinder. Since ISP is based on the same physical principles as the pipette and hydrometer methods, their results should, in principle, agree.

The ISP methodology has been implemented in the commercial instrument PARIO (METER Group, Munich). While elegant, the method relies on pressure change measurements with a resolution of 0.1 Pa (equivalent to 0.01 mm of water column). Consequently, the PARIO manual strongly advises avoiding any mechanical disturbance such as thumping, bumping, clapping, vibration, or other shock events. This warning is essentially precautionary, because to date no systematic experimental investigation of such disturbances has been reported.

To explore this issue, we prepared a single 30 g soil sample following standard PSD procedures and subjected it to 26 PARIO repeated measurement runs over a period of five months, each run lasting 12 h. Between runs, the suspension was remixed but otherwise not altered. The first ten runs (over ten days) were conducted without intentional disturbance to establish baseline repeatability. This was followed by eight runs with deliberately imposed and timed disturbances that generated single or repeated vibrations (“rocking and shocking”). After approximately two and five months, we conducted additional sets of five and three undisturbed runs, respectively.

We report how these mechanical disturbances, along with temperature variations during measurement and the time elapsed since sample pre-treatment, affected the derived PSD. The results provide a first quantitative assessment of how fragile—or robust—the ISP method and PARIO system really are when reality refuses to sit perfectly still.

 

How to cite: Nemes, A. and Durner, W.: Rocking and Shocking the PARIOTM: How Sensitive Is ISP-Based Particle-Size Analysis to Mechanical Disturbance?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14763, https://doi.org/10.5194/egusphere-egu26-14763, 2026.

EGU26-14852 | Posters on site | EOS4.4

Some Norwegian soils behave differently: is it an inheritance from marine sedimentation? 

Attila Nemes, Pietro Bazzocchi, Sinja Weiland, and Martine van der Ploeg

Predicting soil hydraulic behavior is necessary for the modeling of catchments and agricultural planning, particularly for a country like Norway where only 3% of land is suitable for farming. Soil texture is an important and easily accessible parameter for the prediction of soil hydraulic behavior. However, some Norwegian farmland soils, which formed as glacio-marine sediments and are characterized by a medium texture, have shown the hydraulic behavior of heavy textured soils. Coined by the theory behind well-established sedimentation-enhancing technology used in waste water treatment, we hypothesized that sedimentation under marine conditions may result in specific particle sorting and as a result specific pore system characteristics. To test this, we designed four custom-built devices to produce artificially re-sedimented columns of soil material to help characterize the influence of sedimentation conditions. We successfully produced column samples of the same homogeneous mixture of fine-sand, silt, and clay particles obtained by physically crushing and sieving (< 200 µm) subsoil material collected at the Skuterud catchment in South-East Norway, differing only in sedimentation conditions (deionized water vs 35 g per liter NaCl solution). Then, the inability of standard laboratory methods to measure the saturated hydraulic conductivity of such fine material, led us to “MacGyver” (design and custom-build) two alternative methodologies to measure that property, i.e. i) by adapting a pressure plate extractor for a constant head measurement and ii) by building a 10 m tall pipe-system in a common open area of the office, in order to increase the hydraulic head on the samples. There was a learning curve with both of those methods, but we have found that the salt-water re-sedimented columns were about five times more permeable than the freshwater ones, which was the complete opposite of our expectations. However, an unexpected blunder in the conservation of our samples suggests that our hypothesis should be further explored rather than dismissed. These contributions hint about the mechanisms that may underlie the anomalous hydraulic behaviour of certain Norwegian soils and raise new questions on the formation of marine clays, improving knowledge available for land managers and modellers.

 

How to cite: Nemes, A., Bazzocchi, P., Weiland, S., and van der Ploeg, M.: Some Norwegian soils behave differently: is it an inheritance from marine sedimentation?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14852, https://doi.org/10.5194/egusphere-egu26-14852, 2026.

EGU26-16619 | Orals | EOS4.4

The unknown knowns – the inconvenient knowledge in hydrogeology we do not like to use 

Okke Batelaan, Joost Herweijer, Steven Young, and Phil Hayes

“It is in the tentative stage that the affections enter with their blinding influence. Love was long since represented as blind…The moment one has offered an original explanation for a phenomenon which seems satisfactory, that moment affection for his intellectual child springs into existence…To guard against this, the method of multiple working hypotheses is urged. … The effort is to bring up into view every rational explanation of new phenomena, and to develop every tenable hypothesis respecting their cause and history. The investigator thus becomes the parent of a family of hypothesis: and, by his parental relation to all, he is forbidden to fasten his affections unduly upon any one” (Chamberlin, 1890).

The MADE (macro-dispersion) natural-gradient tracer field experiments were conducted more than 35 years ago. It aimed to determine field-scale dispersion parameters based on detailed hydraulic conductivity measurements to support transport simulation. A decade of field experiments produced a 30-year paper trail of modelling studies with no clear resolution of a successful simulation approach for practical use in transport problems.  As a result, accurately simulating contaminant transport in the subsurface remains a formidable challenge in hydrogeology.

What went awry, and why do we often miss the mark?

Herweijer et al. (2026) conducted a ‘back to basics’ review of the original MADE reports and concluded that there are significant inconvenient and unexplored issues that influenced the migration of the tracer plume and or biased observations. These issues include unreliable measurement of hydraulic conductivity, biased tracer concentrations, and underestimation of sedimentological heterogeneity and non-stationarity of the flow field. Many studies simulating the tracer plumes appeared to have ignored, sidestepped, or been unaware of these issues, raising doubts about the validity of the results.

Our analysis shows that there is a persistent drive among researchers to conceptually oversimplify natural complexity to enable testing of single-method modelling, mostly driven by parametric stochastic approaches. Researchers tend to be anchored to a specialised, numerically driven methodology and have difficulty in unearthing highly relevant information from ‘unknown known’ data or applying approaches outside their own specialised scientific sub-discipline. Another important aspect of these ‘unkowns knowns’ is the tendency to accept published data verbatim. Too often, there is no rigorous investigation of the original measurement methods and reporting, and, if need be, additional testing to examine the root cause of data issues.

Following the good old advice of Chamberlin (1890), we used a knowledge framework to systematically assess knowns, unknowns, and associated confidence levels, yielding a set of multi-conceptual models. Based on identified 'unknowns', these multi-models can be tested against reliable 'knowns' such as piezometric data and mass balance calculations.  

Chamberlin, T.C., 1890, The method of multiple working hypotheses. Science 15(366): 92-96. doi:10.1126/science.ns-15.366.92.

Herweijer J.C., S. C Young, P. Hayes, and O. Batelaan, 2026, A multi-conceptual model approach to untangling the MADE experiment, Accepted for Publication in Groundwater.

How to cite: Batelaan, O., Herweijer, J., Young, S., and Hayes, P.: The unknown knowns – the inconvenient knowledge in hydrogeology we do not like to use, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16619, https://doi.org/10.5194/egusphere-egu26-16619, 2026.

EGU26-17373 | Posters on site | EOS4.4

The Hidden Propagator: How Free-Slip Boundaries Corrupt 3D Simulations 

Laetitia Le Pourhiet

Free-slip boundary conditions are routinely used in 3D geodynamic modelling because they reduce computational cost, avoid artificial shear zones at domain edges, and simplify the implementation of large-scale kinematic forcing. However, despite their apparent neutrality, our experiments show that free-slip boundaries systematically generate first-order artefacts that propagate deep into the model interior and can severely distort the interpretation of continental rifting simulations.

Here we present a set of 3D visco-plastic models inspired by the South China Sea (SCS) that were originally designed to study the effect of steady-state thermal inheritance and pluton-controlled crustal weakening. Unexpectedly, in all simulations except those with a very particular inverted rheological profile (POLC), the free-slip boundary on the “Vietnam side” of the domain generated a persistent secondary propagator, producing unrealistic amounts of lithospheric thinning in the southwest corner. This artefact appeared irrespective of crustal rheology, seeding strategy, or the presence of thermal heterogeneities.

We identify three systematic behaviours induced by free-slip boundaries in 3D:
(1) forced rift nucleation at boundary-adjacent thermal gradients,
(2) artificial propagator formation that competes with the intended first-order rifting, and
(3) rotation or shearing of micro-blocks not predicted by tectonic reconstructions.

These artefacts originate from the inability of free-slip boundaries to transmit shear traction, which artificially channels deformation parallel to the boundary when lateral thermal or mechanical contrasts exist. In 3D, unlike in 2D, the combination of oblique extension and boundary-parallel velocity freedom leads to emergent pseudo-transform behaviour that is entirely numerical.

Our results highlight a key negative outcome: free-slip boundaries cannot be assumed neutral in 3D rift models, especially when studying localisation, obliquity, multi-propagator dynamics, or the competition between structural and thermal inheritance. We argue that many published 3D rift models may unknowingly include such artefacts.

 

How to cite: Le Pourhiet, L.: The Hidden Propagator: How Free-Slip Boundaries Corrupt 3D Simulations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17373, https://doi.org/10.5194/egusphere-egu26-17373, 2026.

EGU26-18600 | Posters on site | EOS4.4

Data Disaster to Data Resilience: Lessons from CEDA’s Data Recovery  

Edward Williamson, Matt Pritchard, Alan Iwi, Sam Pepler, and Graham Parton

On 18 November 2025, a small error during internal data migration of between storage systems of the JASMIN data analysis platform in the UK led to a substantial part of the CEDA Archive being made temporarily unavailable online (but not lost!). The unfortunate incident caused serious disruption to a large community of users (and additional workload and stress for the team), it provided important learning points for the team in terms of:  

  • enhancing data security,  
  • importance of mutual support among professional colleagues,  
  • the value of clear and transparent communications with your users 
  • a unique opportunity to showcase the capabilities of a cutting-edge digital research infrastructure in the recovery and return to service with this “unscheduled disaster recovery exercise”. 

 

We report on the circumstances leading to the incident, the lessons learned, and the technical capabilities employed in the recovery. One example shows, nearly 800 Terabytes of data transferred from a partner institution in the USA in just over 27 hours, at a rate of over 8 Gigabytes per second using Globus. The ability to orchestrate such a transfer is the result of many years of international collaboration to support large-scale environmental science, and highlights the benefits of a federated, replicated data infrastructure built on well-engineered technologies.

How to cite: Williamson, E., Pritchard, M., Iwi, A., Pepler, S., and Parton, G.: Data Disaster to Data Resilience: Lessons from CEDA’s Data Recovery , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18600, https://doi.org/10.5194/egusphere-egu26-18600, 2026.

EGU26-19755 | ECS | Posters on site | EOS4.4

Opposite cloud responses to extreme Arctic pollution: sensitivity to cloud microphysics, or a bug? 

Rémy Lapere, Ruth Price, Louis Marelle, Lucas Bastien, and Jennie Thomas

Aerosol-cloud interactions remain one of the largest uncertainties in global climate modelling. This uncertainty arises because of the dependence of aerosol-cloud interactions on many tightly coupled atmospheric processes; the non-linear response of clouds to aerosol perturbations across different regimes; and the challenge of extracting robust signals from noisy meteorological observations. The problem is particularly acute in the Arctic, where sparse observational coverage limits model constraints, pristine conditions can lead to unexpected behaviour, and key processes remain poorly understood.

A common way to tackle the challenge of uncertainties arising from aerosol-cloud interactions in climate simulations is to conduct sensitivity experiments using cloud and aerosol microphysics schemes based on different assumptions and parameterisations. By comparing these experiments, key results can be constrained by sampling the range of unavoidable structural uncertainties in the models. Here, we apply this approach to a case study of an extreme, polluted warm air mass in the Arctic that was measured during the MOSAiC Arctic expedition in 2020. We simulated the event in the WRF-Chem-Polar regional climate model both with and without the anthropogenic aerosols from the strong pollution event to study the response of clouds and surface radiative balance. To understand the sensitivity of our results to the choice of model configuration, we tested two distinct, widely-used cloud microphysics schemes.

Initial results showed that the two schemes simulated opposite cloud responses: one predicted a surface cooling from the pollution that was reasonably in line with our expectations of the event, while the other predicted the opposite behaviour in the cloud response and an associated surface warming. These opposing effects seemed to suggest that structural uncertainties in the two schemes relating to clean, Arctic conditions was so strong that it even obscured our ability to understand the overall sign of the surface radiative response to the pollution.

However, since significant model development was required to couple these two cloud microphysics schemes to the aerosol fields in our model, there was another explanation that we couldn’t rule out: a bug in the scheme that was producing the more unexpected results. In this talk, we will explore the challenges of simulating the Arctic climate with a state-of-the-art chemistry-climate model and highlight how examples like this underscore the value of our recent efforts to align our collaborative model development with software engineering principles and Open Science best practices.

How to cite: Lapere, R., Price, R., Marelle, L., Bastien, L., and Thomas, J.: Opposite cloud responses to extreme Arctic pollution: sensitivity to cloud microphysics, or a bug?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19755, https://doi.org/10.5194/egusphere-egu26-19755, 2026.

All statistical tools come with assumptions. Yet many scientists treat statistics like a collection of black-box methods without learning the assumptions. Here I illustrate this problem using dozens of studies that claim to show that solar variability is a dominant driver of climate. I find that linear regression approaches are widely misused among these studies. In particular, they often violate the assumption of ‘no autocorrelation’ of the time series used, though it is common for studies to violate several or all of the assumptions of linear regression. The misuse of statistical tools has been a common problem across all fields of science for decades. This presentation serves as an important cautionary tale for the Earth Sciences and highlights the need for better statistical education and for statistical software that automatically checks input data for assumptions.

How to cite: Steiger, N.: Pervasive violation of statistical assumptions in studies linking solar variability to climate, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19776, https://doi.org/10.5194/egusphere-egu26-19776, 2026.

EGU26-20122 | ECS | Posters on site | EOS4.4

Developing Matrix-Matched Empirical Calibrations for EDXRF Analysis of Peat-Alternative Growth Media 

Thulani De Silva, Carmela Tupaz, Maame Croffie, Karen Daly, Michael Gaffney, Michael Stock, and Eoghan Corbett

A key reason for the widespread use of peat-based growth media in horticulture is their reliable nutrient availability when supplemented with fertilisers. However, due to environmental concerns over continued peat-extraction and use, peat-alternatives (e.g., coir, wood fibre, composted bark, biochar) are increasingly being used commercially. These alternative media often blend multiple materials, making it crucial to understand elemental composition and nutrient interactions between components. This study evaluates whether benchtop Energy Dispersive X-ray Fluorescence (EDXRF) can provide a rapid method for determining the elemental composition of peat-alternative components.

Representative growing media components (peat, coir, wood fibre, composted bark, biochar, horticultural lime, perlite, slow-release fertilisers, and trace-element fertiliser) were blended in different ratios to generate industry-representative mixes. Individual components and prepared mixes were dried and milled to ≤80 μm. An industry-representative mix (QC-50: 50% peat, 30% wood fibre, 10% composted bark, 10% coir, with fertiliser and lime additions) and 100% peat were analysed by EDXRF (Rigaku NEX-CG) for P, K, Mg, Ca, S, Fe, Mn, Zn, Cu and Mo, and compared against ICP-OES reference measurements. The instrument’s fundamental parameters (FP) method using a plant-based organic materials library showed large discrepancies relative to ICP-OES (relative differences: 268–390 084%) for most elements in both QC-50 and peat, with the exception of Ca in QC-50 (11%). These results confirm that the FP approach combined with loose-powder preparation is unsuitable for accurate elemental analysis of organic growing media.

An empirical calibration was subsequently developed using 18 matrix-matched standards (CRMs, in-house growing media and individual component standards). Matrix matching is challenging because mixes are mostly organic by volume, yet variable inorganic amendments (e.g., lime, fertilisers, and sometimes perlite) can strongly influence XRF absorption/enhancement effects. Calibration performance was optimised iteratively using QC-50 as the validation sample, until relative differences were <15% for all elements. When applied to 100% peat, agreement with ICP-OES results improved substantially for some macro-elements (e.g. Mg 10%, Ca 1%, S 19%) but remained poor for most trace elements (28–96%), demonstrating limited transferability of this calibration method across different elements and matrices tested.

Overall, these results demonstrate that loose powder preparation does not provide sufficiently robust accuracy for EDXRF analysis of organic growing media even with meticulous empirical matrix-matched calibration. We are therefore developing a pressed pellet method using a low-cost wax binder to improve sample homogeneity (packing density) and calibration transferability. Twenty unknown mixes will be analysed using both loose powder and pressed-pellet calibrations, and agreement with reference data (ICP-OES) will confirm method validation, supporting the development of EDXRF as a novel approach for growing media analysis.

How to cite: De Silva, T., Tupaz, C., Croffie, M., Daly, K., Gaffney, M., Stock, M., and Corbett, E.: Developing Matrix-Matched Empirical Calibrations for EDXRF Analysis of Peat-Alternative Growth Media, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20122, https://doi.org/10.5194/egusphere-egu26-20122, 2026.

EGU26-20375 | ECS | Posters on site | EOS4.4

From Field to File: challenges and recommendations for handling hydrological data 

Karin Bremer, Maria Staudinger, Jan Seibert, and Ilja van Meerveld

In catchment hydrology, long-term data collection often starts as part of a (doctoral) research project. In some cases, the data collection continues on a limited budget, often using the field protocol and data management plan designed for the initial short-term project. Challenges and issues with the continued data collection are likely to arise, especially when there are multiple changes in the people involved. It is especially difficult for researchers who were not directly involved in the fieldwork to understand the data and must therefore rely on field notes and archived data. They then often encounter issues related to inconsistent metadata, such as inconsistent date-time formats and inconsistent or missing units, missing calibration files, and unclear file and processing script organization.

While the specific issues may sound very case-dependent, based on our own and other’s experiences from various research projects, it appears that many issues recur more frequently than one might expect (or be willing to admit). In this presentation, we will share our experiences with bringing spatially distributed groundwater level data collected in Sweden and Switzerland from the field to ready-to-use files. Additionally, we provide recommendations for overcoming the challenges during field data collection, data organization, documentation, and data processing using scripts. These include having a clear, detailed protocol for in the fieldwork and the data processing steps, and ensuring it is followed. Although protocols are often used, they are frequently not detailed enough or are not used as designed. The protocols might also not take into account the further use of the data, such as for hydrological modelling, beyond field collection. 

How to cite: Bremer, K., Staudinger, M., Seibert, J., and van Meerveld, I.: From Field to File: challenges and recommendations for handling hydrological data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20375, https://doi.org/10.5194/egusphere-egu26-20375, 2026.

In 2014 we developed the Wageningen Lowland Runoff Simulator (WALRUS), a conceptual rainfall-runoff model for catchments with shallow groundwater. Water managers and consultants were involved in model development. In addition, they sponsored the steps necessary for application: making an R package, user manual and tutorial, publishing these on GitHub and organising user days. WALRUS is now used operationally by several Dutch water authorities and for scientific studies in the Netherlands and abroad. When developing the model, we made certain design choices. Now, after twelve years of application in water management, science and education, we re-evaluate the consequences of those choices.

The lessons can be divided into things we learned about the model’s functioning and things we learned from how people use the model. Concerning the model’s functioning, we found that keeping the model representation close to reality has advantages and disadvantages. It makes it easy to understand what happens and why, but it also causes unrealistic expectations. Certain physically based relations hampered model performance because they contained thresholds, and deriving parameter values from field observations resulted in uncertainty and discussions about spatial representativeness.

Concerning the practical use, we found that the easy-to-use, open source R package with manual was indispensable for new users. Nearly all users preferred default options over the implemented user-defined functions to allow tailor-made solutions. Parameter calibration was more difficult than expected because the feedbacks necessary to simulate the hydrological processes in lowlands increase the risk of equifinality. In addition, lack of suitable discharge data for calibration prompted the request for default parameter values. Finally, the model was subject to unintended model use, sometimes violating basic assumptions and sometimes showing unique opportunities we had not thought of ourselves.

C.C. Brauer, A.J. Teuling, P.J.J.F. Torfs, R. Uijlenhoet (2014): The Wageningen Lowland Runoff Simulator (WALRUS): a lumped rainfall-runoff model for catchments with shallow groundwater, Geosci. Model Dev., 7, 2313-2332, doi:10.5194/gmd-7-2313-2014

How to cite: Brauer, C.: Re-evaluating the WALRUS rainfall-runoff model design after twelve years of application, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21915, https://doi.org/10.5194/egusphere-egu26-21915, 2026.

EGU26-102 | Orals | HS8.3.4

Mechanisms of facilitation of water transport in the rhizosphere 

Lionel Dupuy, Andrew Mair, Beatriz Mezza Manzaneque, Emma Gomez Preal, Iker Martín Sanchez, Gloria de las Heras Martínez, Natalia Natalia Elguezabal Vega, Anke Lindner, Eric Clement, Nicola Stanley-Wall, and Mariya Ptashnyk

Biological activity in soil is very diverse and around plant roots it affects water transport. Root growth displaces soil particles and alters soil porosity, by creating biopores that conduct water. The secretions of plants and microbes modify surface tension, viscosity, absorption and retention of water. Microbial motility may also contribute to water transport, but such effects have not been demonstrated in soil to date. To elucidate how these factors influence root water uptake, we combined dye tracing experiments [1,2], live microscopy and physical characterization of root exudates of winter wheat, along with analyses of cell suspensions and secretions of the bacterium Bacillus subtilis. Using this dataset, we coupled a modified Richards’ equation [3] with the model of Šimůnek and Hopmans [4] to investigate how the combined effects of these processes influence water availability to crops over a complete wet–dry–wet cycle. Results showed that both microbes and plants’ secretions act as facilitators of water infiltration of dry and mildly repellent soil layers. In arid environments, under light and sporadic rainfall events, this effect tends to benefit more deeper-rooted or mature crops. Results also show that microbial motility alone may be inducing an active stress of few Pascals which also contributes to enhance water infiltration. These results have important implications for the management of irrigation in cropping systems.  

 

References

[1] Liu et al 2025, Biosystems Engineering, https://doi.org/10.1016/j.biosystemseng.2025.02.006

[2] Gómez et al 2025, Plant Cell Environment, https://doi.org/10.1111/pce.70240

[3] Mair et al 2025, Vadose Zone Journal, https://doi.org/10.1101/2025.03.28.645940

[4] Šimůnek and Hopmans 2009, Ecological Modelling, 220(4), 505–521

 

How to cite: Dupuy, L., Mair, A., Mezza Manzaneque, B., Gomez Preal, E., Martín Sanchez, I., de las Heras Martínez, G., Natalia Elguezabal Vega, N., Lindner, A., Clement, E., Stanley-Wall, N., and Ptashnyk, M.: Mechanisms of facilitation of water transport in the rhizosphere, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-102, https://doi.org/10.5194/egusphere-egu26-102, 2026.

Emerging contaminants in agricultural soils and irrigation water present significant threats to food safety and environmental health through their uptake and accumulation in edible plant tissues. This study presents a dynamic multicompartment plant-uptake model to simulate the fate and transport of both neutral and ionizable compounds under conditions involving pre-existing soil contamination or continuous contaminant loading via different agricultural practices. The model characterises chemical behaviour across soil, roots, stem, leaves, and fruits, explicitly accounting for gaseous exchange, volatilisation losses, atmospheric deposition, xylem- and phloem-driven translocation, growth dilution, and organelle-level partitioning within plant cells. A comparison of the framework's predictions with previously published multicompartment plant-uptake datasets reveals its ability to predict the observed uptake, transport, and redistribution patterns across plant organs. The model's integration of key physicochemical, physiological, and environmental drivers into a unified mechanistic platform enhances its ability to predict contaminant transfer through the soil–plant continuum. The proposed framework can support risk assessments, guide the selection of safer irrigation sources, and inform management strategies for agricultural systems affected by historical pollution or poor-quality irrigation water.

How to cite: Meena, V. and Swami, D.: A Multicompartment Plant-Uptake Model for Neutral and Ionizable Compounds: Development and Validation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1159, https://doi.org/10.5194/egusphere-egu26-1159, 2026.

EGU26-1234 | ECS | Posters on site | HS8.3.4

Drought-induced shifts in water uptake in winter cereals: Insights from multi-scale measurements across two contrasting years 

Gökben Demir, Anas Emad, Christian Markwitz, David Dubbert, Alexander Knohl, and Maren Dubbert

Croplands are among the systems most vulnerable to shifts in precipitation regimes and prolonged droughts particularly in temperate climates. Although irrigation may increase agricultural productivity, it can’t offer a sustainable long-term solution to compound droughts due to intensified pressure on freshwater resources. Thus, characterizing root water uptake patterns is essential to understand how crops maintain function while sustaining transpiration during drought. We investigated water uptake patterns of winter cereals (wheat, barley) across two contrasting growing seasons (2024, 2025). The research site is in central Germany, it exhibits a suboceanic/subcontinental climate and has a shallow groundwater level (ca. 1.5 m). In the footprint of an eddy covariance (EC) tower, we sampled plant leaves, soil water, precipitation, river water, and groundwater to trace stable water isotopes. We monitored leaf area index (LAI) and installed soil moisture sensors (5–100 cm). Using soil moisture time series and dual-isotope mixing models, we quantified variation in water uptake depth throughout the growing seasons (March-July). In 2024, soil layers were wetted by regular rains in April with only short rain-free periods occurring. On the contrary, frequent and longer dry spells occurred in 2025, totalling 18 days in April and 15 days in May. Moreover, in 2024, ETsoil ranged from 1.2 mm day⁻¹ to over 7 mm day⁻¹ at peak LAI, while ETEC-tower for the same period exceeded 5 mm day⁻¹. In 2025, despite high transpiration demand, ET did not exceed 5 mm day⁻¹ consistently in both methods. Soil water isotope patterns showed expected fluctuations, with deeper layers being depleted in δ²H and δ¹⁸O. We used the Craig–Gordon equation to determine xylem water isotope signatures, followed by mixing models to quantify water sources for transpiration. Xylem and soil water isotope time series suggest that despite more frequent rain events, winter wheat continued to draw water from stable, deeper sources rather than relying on enriched shallow soil layers (5–15 cm). During summer 2024 (June–July), δ²H and δ¹⁸O values in the topsoil enriched through higher soil evaporation, yet water uptake shifted to deeper layers, which agrees with ETsoil variations. Precipitation events in late spring 2024 enabled winter wheat to access deeper soil water sources (≥50 cm) to sustain high transpiration demand. During the drier conditions, barley altered water uptake depths yet transpiration demand was mainly sustained from water sources within 10–40 cm, and contribution from deeper layers was limited. Both species showed similar responses to dry spells, yet the timing of the drought shaped root plasticity and access to stable water sources. Our results demonstrate that water uptake strategies and water use efficiency are tightly linked to the timing and intensity of drought in annual crops, even when deeper water sources remain stable.

How to cite: Demir, G., Emad, A., Markwitz, C., Dubbert, D., Knohl, A., and Dubbert, M.: Drought-induced shifts in water uptake in winter cereals: Insights from multi-scale measurements across two contrasting years, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1234, https://doi.org/10.5194/egusphere-egu26-1234, 2026.

Plant water regulation plays a critical role in land–atmosphere coupling and ecosystem responses to climate extremes. Isohydricity is widely used to characterize how plants regulate water loss under water stress, yet its behavior under interacting drought and salinity remains poorly understood. Here, we investigated maize (Zea mays L.) water-use strategies under combined water and salinity constraints using a controlled pot experiment. Maize plants were exposed to two water availability regimes (well-watered and drought conditions) and irrigated with either fresh or saline water. Isohydric behavior was assessed using three complementary hydraulic relationships: (i) transpiration rate (normalized by leaf area) versus soil water potential, (ii) leaf water potential versus soil water potential, and (iii) stomatal conductance versus leaf water potential. In addition, the vulnerability of soil–plant hydraulic conductance was also examined.

Under drought or salinity applied separately, maize tended to exhibit more anisohydric behavior, characterized by relatively weak reductions in transpiration and stomatal conductance with declining water potential and a broader range of leaf water potential variation. In contrast, when drought and salinity occurred simultaneously, maize shifted toward a more isohydric mode of regulation, clearly differing from responses under single stress conditions. Moreover, under drought conditions, isohydricity inferred from the leaf–soil water potential relationship tended toward a more isohydric behavior under saline treatment, whereas isohydricity inferred from transpiration- and stomatal conductance–based relationships under salinity indicated a more anisohydric behavior. This discrepancy highlights the influence of evaluation methods on isohydricity characterization. Furthermore, we conclude that maize isohydricity is closely linked to the vulnerability of soil–plant hydraulic conductance. Under drought or salinity conditions, maize tends to exhibit more anisohydric behavior, which is associated with enhanced resistance of the soil–plant hydraulic system to the loss of hydraulic conductance. These findings advance our understanding of crop water relations under combined water and salinity stress and support integrated irrigation and salinity management strategies to improve water use efficiency and sustain yields in salt-affected regions.

How to cite: Shao, X. and Lei, G.: Interacting drought and salinity reshape maize isohydric behavior through soil–plant hydraulic constraints, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2178, https://doi.org/10.5194/egusphere-egu26-2178, 2026.

EGU26-2609 | Posters on site | HS8.3.4

Transforming excavation waste into functional soil: Effects of compost ratios and plant diversity on initial pedogenesis 

Maha Deeb, Cédric Deluz, Patrice Prunier, Fabienne Morch, Pierre-André Frossard, and Pascal Boivin

Soil engineering is gaining increasing attention due to its potential to address soil scarcity while promoting waste recycling. However, functional soils do not arise from simply mixing waste materials. Instead, fundamental pedogenetic processes must be activated and supported, alongside the stabilization of organic carbon through complexation with mineral surfaces. Evidence suggests that interactions between plants and minerals could accelerate these early pedogenic processes—including carbon fixation and mineral–organic associations—while limiting carbon mineralization. This study reports the results of a field experiment conducted in Geneva to investigate these effects.

Excavated geological layers (DSH) from Geneva’s fluvio-glacial deposits were mixed with six levels of green waste compost (GWC) (10–90 %). Each plot was sown with a standardized indigenous plant mixture of 44 species, and plant diversity was maximized under the assumption that higher diversity would enhance the formation of a soil-like structure in the parent material. Treatments were replicated four times and monitored monthly for the first six months, with a final assessment at 12 months. Organic carbon forms were analyzed using Rock Eval® pyrolysis, and soil hydrostructural properties were evaluated through soil shrinkage analysis.

Results showed that a 25 % compost ratio promoted carbon stabilization, while the 10 % mixture demonstrated potential for carbon fixation and mineral–organic associations after 12 months, likely due to slower plant establishment in dry grassland. The 50 % compost mixture supported higher plant species richness, including ruderal and dry grassland species. Additionally, adding 10 % DSH to a 90 % GWC mixture reduced carbon mineralization compared with 100 % GWC, indicating potential for soilless applications. Overall, these findings suggest that pedogenic processes in engineered soils can be optimized by carefully selecting parent material-to-organic carbon ratios and plant combinations.

How to cite: Deeb, M., Deluz, C., Prunier, P., Morch, F., Frossard, P.-A., and Boivin, P.: Transforming excavation waste into functional soil: Effects of compost ratios and plant diversity on initial pedogenesis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2609, https://doi.org/10.5194/egusphere-egu26-2609, 2026.

EGU26-2974 | ECS | Posters on site | HS8.3.4

Quantifying Drivers of Root Depth and Distribution in European Forests: Species, Soil, and Climate Effects 

Dennis Günther Ried, Andrea Carminati, Richard L. Peters, Marco Lehmann, Louis Graup, Lorenz Walthert, Peter Waldner, Ivano Brunner, Fabian Bernhard, and Katrin Meusburger

Deep rooting is a critical trait for drought tolerance, yet quantitative knowledge of root distributions across tree species and soil properties remains limited [1, 2]. This study characterises fine-root distribution patterns and maximum rooting depths in mono and mixed species forests based on ~2,000 soil profiles from Switzerland and it is intended to extend the study to the continental scale with root, tree and soil data from ICP Forests’ Level I and II plots.
Root presence was recorded semi-quantitatively along soil profiles together with maximum rooting depths and associated soil and stand properties. Species specific traits and soil properties were analysed, and root distribution curves (beta curves: Y=1-βd) were modelled to derive species- and soil-specific rooting patterns [3]. Trait-specific beta curves were then compared and analysed for site, stand, and soil properties, such as for topographic, and climate data, focusing on profiles only deeper than 1m soil depth, to avoid skewed beta calculations.
In monospecific stands (dominant species >50% canopy cover), linear models (LMs) explained 29.7% of beta variance across profiles. Tree species identity and soil density were the strongest contributors, while mean annual precipitation exhibited pronounced non-linear effects. Model parsimony improved strongly when tree species identity was aggregated into angiosperms and gymnosperms, although explanatory power decreased slightly to 27.4% of explained beta variance. On average, angiosperms showed a more homogenous fine-root distribution pattern (median β = 0.933) than gymnosperms (median β = 0.888).
In contrast, in mixed species stands, LMs explained 22.1% of beta variance. Tree species identity and soil type emerged as the primary drivers. In comparison, mixed species stands were more difficult to analyse and interpret than monospecific stands due to their higher structural and ecological complexity. Notably, strong collinearity was observed among soil type, hydromorphic condition, and soil density in both monospecific and mixed species stands.
Subsequently, we plan to integrate data from ICP Forests sites to test whether these relationships hold across broader climatic and edaphic gradients. With these results we aim to improve mechanistic modelling of soil water availability, root water uptake, and forest development under current and future climate conditions.

References

[1] Meusburger, K., Trotsiuk, V., Schmidt-Walter, P., Baltensweiler, A., Brun, P., Bernhard, F., Gharun, M., Habel, R., Hagedorn, F., Köchli, R., Psomas, A., Puhlmann, H., Thimonier, A., Waldner, P., Zimmermann, S., & Walthert, L. (2022). Soil–plant interactions modulated water availability of Swiss forests during the 2015 and 2018 droughts. Global Change Biology, 28, 5928–5944. DOI: 10.1111/gcb.16332.

[2] Pietig, K., Kotowska, M., Coners, H., Mundry, R., & Leuschner, C. (2026). Deep rooting revisited: Comparing the rooting patterns of European beech, Sessile oak, Scots pine, and Douglas fir in sandy soil to 3.8 m depth. Forest Ecology and Management, 600, 123288. DOI: 10.1016/j.foreco.2025.123288

[3] Gale, M. R. & Grigal, D. F. (1987). Vertical root distributions of northern tree species in relation to successional status. Can. J. For. Res. 17: 829-834.

How to cite: Ried, D. G., Carminati, A., Peters, R. L., Lehmann, M., Graup, L., Walthert, L., Waldner, P., Brunner, I., Bernhard, F., and Meusburger, K.: Quantifying Drivers of Root Depth and Distribution in European Forests: Species, Soil, and Climate Effects, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2974, https://doi.org/10.5194/egusphere-egu26-2974, 2026.

Soil-moisture memory (SMM) regulates the evolution of drought, hydrological predictability, and land–atmosphere coupling, yet many conventional diagnostic metrics simplify this complex phenomenon into a sole memory timescale. In this paper, we introduce a unified observation-driven framework—a scale-aware Linear Integro-Differential Equation (LIDE) for root zone soil moisture—to infer the complete distributed memory kernel that effectively models soil-moisture dynamics. When applied to multi-year in situ observations from energy-limited, water-limited, and intermediate hydro-climatic regimes, LIDE reveals a rich hierarchy of memory structures that conventional e-folding autocorrelation or hybrid deterministic-stochastic metrics are unable to capture. Application of LIDE in examined sites revealed a fast-memory timescale from ∼3–32 days, a short-term slow-memory timescale from 13 to 39 days, an intermediate slow-memory from ∼115–127 days, a long-term slow-memory from ∼218–541 days, and a theoretical saturation timescale from ~9 to 15 years. LIDE also provides additional quantitative information about memory strength, as assessed by actual memory capacity (Q), which is not available through conventional persistence analyses, with Q being relatively constant over the examined sites (1.12–1.24 days⁻²) despite large hydro-climatic contrasts among sites. Applying LIDE on hourly, daily, and monthly data reveals that high-frequency data provides information on sub-daily fast memory timescales (~6 hours at the intermediate site, namely Schöneseiffen in Germany), as well as an additional very short slow-memory timescale (~14 hours at Schöneseiffen) that is not observable in daily or monthly data. The integrated kernel also accounts for the oscillatory saturation dynamics associated with soil-moisture reemergence, making it possible to retrieve this process from observations for the first time. Collectively, these results place LIDE as a state-of-the-art and state-of-the-practice approach in diagnosing multiscale memory of the soil moisture that is physically interpretable and scalable and can greatly advance drought sciences, ecohydrology, and land-surface modeling.

How to cite: Rahmati, M.: A Memory-Based, non-Markovian, Linear Integro-Differential Equation for Root-Zone Soil Moisture, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3805, https://doi.org/10.5194/egusphere-egu26-3805, 2026.

EGU26-4133 | Orals | HS8.3.4

Uncovering critical thresholds of root-zone soil moisture for plant water stress in terrestrial ecosystems 

Bin Chen, Zheng Fu, Yuanyuan Huang, Shaoqiang Wang, and Zhihui Chen

The critical root-zone soil moisture (SM) threshold is a fundamental parameter that marks the transition from energy-limited to soil-moisture-limited evapotranspiration (ET) regimes, yet regional and global studies often rely on near-surface SM and its associated threshold as a proxy. This study presents a global, measurement-based evaluation of critical root-zone SM threshold by analyzing 666 dry-down events across 34 eddy covariance flux tower sites equipped with multi-layered SM sensors reaching depths of at least 1 meter. The results demonstrate that critical thresholds derived from near-surface and root-zone SM are significantly inconsistent, with an overall root mean square error (RMSE) of 0.11 m³ m⁻³. This discrepancy is primarily driven by the vertical SM gradient and the decoupling of near-surface and root-zone layers during drydown periods, which leads to substantial errors in identifying the onset and duration of plant water stress. For instance, at a forest site (US-Me2), using the critical threshold derived from near-surface SM delayed the detected onset of moisture stress by 27 days and underestimated the duration of the moisture-limited regime by 36 days. Across the diverse biomes and climate types studied, the global mean  was 0.12 ± 0.11 m³ m⁻³. These findings provide a critical observational benchmark for the evaporative fraction-root zone soil moisture relationship, highlighting that transitioning from near-surface to root-zone-based assessments is essential for accurate land-surface model evaluation and the quantification of ecosystem vulnerability to drought.

How to cite: Chen, B., Fu, Z., Huang, Y., Wang, S., and Chen, Z.: Uncovering critical thresholds of root-zone soil moisture for plant water stress in terrestrial ecosystems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4133, https://doi.org/10.5194/egusphere-egu26-4133, 2026.

Understanding the water use patterns of artificially revegetated plants in arid and semi-arid desert regions with shallow groundwater is crucial for sustainable water resource management and effective vegetation restoration strategies. Despite extensive vegetation rehabilitation in China’s Mu Us Sandy Land, the interspecific and seasonal variations in plant water sources under similar groundwater conditions remain unclear. We conducted isotopic analysis of hydrogen and oxygen in main sand-fixing plants—Pinus sylvestris var. mongolica, Amygdalus pcdunculata Pall, and Artemisia desertorum Spreng—alongside potential water sources during the three growing seasons. Our aim was to elucidate seasonal changes in plant water uptake patterns by correcting isotopic offsets in xylem water using the MixSIAR model. Results indicated that A. desertorum predominantly utilized water from the 0–150 cm soil layer (67.52±14.44 %) throughout all seasons. Conversely, P. sylvestris and A. pedunculata shifted their primary water sources from the 60–240 cm soil layer during the dry season (55.20±2.12 and 57.96±1.45 %, respectively) to the 0–150 cm soil layer during the rainy season (68.44±4.46 and 66.19±1.68 %, respectively), suggesting greater water uptake adaptability in trees and shrubs compared to grasses. Groundwater contribution to plant water uptake showed no significant interspecies difference during the rainy season (P > 0.05). However, P. sylvestris and A. pedunculata significantly increased groundwater absorption during the dry season compared to the rainy season (P < 0.05). Correcting δ2H offsets in xylem water revealed an underestimation of groundwater contributions by 16.06±9.09 % in the dry season and 4.25±0.55 % in the rainy season. Given these interspecific and seasonal variations in water uptake patterns among sand-fixing plants, and the imperative for sustainable groundwater use, tailored water management strategies are essential to prevent the degradation of restored ecosystems in this water-limited desert region.

 

How to cite: Huang, L.: Adaptive water use strategies of artificially revegetated plants in a groundwater dependent ecosystem: Implications for sustainable ecological restoration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4457, https://doi.org/10.5194/egusphere-egu26-4457, 2026.

EGU26-5037 | ECS | Posters on site | HS8.3.4

Maintaining root–soil contact in drying soils: the role of mucilage and root hairs 

Sara Di Bert and Andrea Carminati

The rhizosphere plays a key role in regulating plant water uptake during soil drying, yet it is often represented in soil–plant models as hydraulically and mechanically equivalent to bulk soil. While the influence of root mucilage and extracellular polymeric substances (EPS) on rhizosphere water retention is well recognized, their mechanical role—together with that of root hairs—in controlling root–soil contact and soil structural dynamics remains insufficiently explored.

Recent biomechanical insights into drying liquid bridges reveal that polymer-rich solutions behave fundamentally differently from water. Whereas capillary water bridges weaken and fail during drying—particularly in coarse-textured soils such as sand—mucilage can form viscoelastic filaments that persist during drying and generate increasing tensile forces as the polymer network is stretched. As a result, the mechanical contribution of mucilage on maintaining root-soil contact is negligible in fine-textured soils where capillary forces are already strong but is particularly relevant in sandy soils where water bridges alone provide little mechanical adhesion.

These biomechanical properties have important consequences for root–soil contact dynamics and rhizosphere structure. Elastic polymer bridges, in combination with root hairs that increase contact area and provide additional anchoring points, offer a mechanism by which plants can maintain physical contact with the surrounding soil as roots shrink during drying. This mechanical reinforcement may delay both hydraulic disconnection and associated mechanical loss of contact of roots from the soil, preserving water uptake at water potentials where capillary connectivity alone would already be limiting.

At the same time, tensile forces generated by drying polymeric gels promote aggregation of soil particles, contributing to the formation of a mechanically coherent rhizosphere with altered pore geometry and connectivity. Such aggregation reinforces the distinction between rhizosphere and bulk soil properties and may further modulate local water distribution and hydraulic conductivity near the root surface.

This perspective highlights the need to move beyond purely hydraulic descriptions of the rhizosphere and to incorporate the mechanical effects of mucilage, EPS, and root hairs into conceptual and numerical models of root water uptake, particularly under drought conditions.

How to cite: Di Bert, S. and Carminati, A.: Maintaining root–soil contact in drying soils: the role of mucilage and root hairs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5037, https://doi.org/10.5194/egusphere-egu26-5037, 2026.

EGU26-5060 | Orals | HS8.3.4

The resilience of barley to drought in a changing climate is determined by its lateral root diameter 

Bo Fang, Johannes Postma, and Christian Kuppe

Climate change is intensifying droughts and threatening food security. Roots are the plants’ organ for water uptake and are crucial for their adaptation, with their structure being a decisive factor. In barley (Hordeum vulgare), lateral roots form~60% of the total root length and are important for water uptake. Hydraulic conductance scales strongly with root diameter: thicker laterals conduct more water per unit length but demand higher carbon for construction and maintenance. During soil drying, this creates a potential carbon-water trade-off. We test whether such a trade-off exists and whether it shapes drought resilience across environments by comparing the diameter that optimizes the trade-off with that maximizing shoot dry mass (SDM).

We used a functional–structural plant model (OpenSimRoot) to simulate barley growth across five climatically and pedologically contrasting global sites, representing different drought regimes. Simulations covered 50 growing seasons (2000–2049) using projected climate data and site-specific soils. Five lateral root diameter classes were evaluated, and outputs included shoot dry mass, root carbon allocation, and root hydraulic conductance. Drought performance was assessed by jointly considering productivity and efficiency-based metrics related to carbon investment and water transport capacity.

Across all environments, barley performance showed a clear dependence on lateral root diameter, with intermediate diameters generally balancing water uptake capacity and carbon costs. SDW and trade-off analyses converged on to the same diameter, reflecting a general trend. However, site-specific analyses revealed substantial divergence, reflecting differences in climate variability, soil properties, and drought characteristics. In several environments, finer lateral roots did not consistently confer advantages in either hydraulic efficiency or biomass production, challenging the notion of a universally optimal “cheap-root” strategy under drought.

A robust carbon–water trade-off underlies lateral root diameter; the diameter that performs best depends on the environment (climate and soil) and the objective (e.g., maximizing SDW versus efficiency/resilience). When data are pooled across all sites, SDM- and trade-off–based optima coincide, but site-level results differ; therefore, breeding for drought resilience should target site- and objective-specific trait values rather than a single fixed optimum.

How to cite: Fang, B., Postma, J., and Kuppe, C.: The resilience of barley to drought in a changing climate is determined by its lateral root diameter, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5060, https://doi.org/10.5194/egusphere-egu26-5060, 2026.

Land-atmosphere exchange shifts from energy-limited to water-limited regime at a critical soil moisture, which marks a fundamental transition in the Earth system. Estimates of the critical threshold vary a lot across studies despite its importance for the mechanistic understanding of soil moisture limitation on transpiration and plant productivity.

We introduce a novel, model-based diagnostic approach — the Normalized Transpiration Deficit (NTD) method — and demonstrate that it yields results highly consistent with observational methods such as finding breakpoints in the evaporative fraction. Using a hydraulically-enabled version of the CABLE-POP land surface model, we conducted a factorial experiment across various soil textures, climate regimes, and plant hydraulic parameters. It suggests that the critical threshold occurs at a broadly similar soil matric potential (ψcrit) across soil types, resulting in a quasi-linear relationship between the critical volumetric soil moisture (θcrit) and sand content, as observed in earlier studies. The dependency of θcrit on soil type vanished when it was normalised by field capacity, which yielded hence also a universal threshold of relative extractible water REWcrit, as found empirically for forest ecosystems.

Most of the variance of θcrit, 86%, came from soil texture in the factorial experiment, while the variances of ψcrit and REWcrit were largely explained by plant hydraulic traits, accounting for 87% and 77% of total variance, respectively. Within the plant hydraulic traits, the P50-values of stomatal conductance (ψ50,l) and of xylem conductance (ψ50,x) showed the strongest correlations with the critical thresholds, indicating that vulnerability to hydraulic dysfunction plays a key role in shaping plant responses to soil drying. There was, however, no direct effect of climate on any of the critical thresholds, i.e. the thresholds remained invariant across climates for given soil and vegetation types. This suggests that apparent climate dependencies reported in observational studies may be artifacts due to limited soil moisture ranges at each observational site, or they represent biological adaptation and acclimation that is currently not captured in our static model parameters.

These findings highlight the necessity of incorporating ecosystem-scale hydraulic regulation in biosphere models to reconcile divergent estimates of critical thresholds and to improve predictions of drought impacts on water and carbon fluxes.

How to cite: Lu, Z. and Cuntz, M.: The soil matric potential where ecosystems get water-limited is independent of soil type and climate, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5068, https://doi.org/10.5194/egusphere-egu26-5068, 2026.

EGU26-5961 | Orals | HS8.3.4

Plants as Engineers: Carbon Investment and Hydraulic Control in the Rhizosphere 

Mohsen Zare, Bahareh Hosseini, Ruth Adamczewski, and Samantha Spinoso Sosa

Plants actively modify the physical and chemical properties of the rhizosphere to regulate water and nutrient supply, particularly under soil drying conditions. Root mucilage has emerged as a key mediator of these interactions, yet quantitative, mechanistic evidence for how its hydraulic function depends on soil texture and moisture remains scarce. Here we synthesize results from a series of complementary experiments that together demonstrate that rhizosphere hydraulic regulation is an active, texture-dependent process driven by targeted carbon investment belowground.
We combined controlled rhizosphere model systems, isotope tracing, and neutron radiography to disentangle how mucilage alters water retention, unsaturated hydraulic conductivity, and solute diffusion across contrasting soil textures. Using mucilage extracted from maize seedlings, we quantified its effects in sand, sandy loam, and loam under varying moisture conditions. In parallel, we employed 14C pulse labelling and neutron imaging to directly link plant carbon allocation patterns to rhizosphere hydraulic outcomes under contrasting soil texture and water availability.
Across experiments, mucilage effects on rhizosphere hydraulics were strongly texture dependent. In coarse-textured soils, relatively high mucilage concentrations were required to increase water-holding capacity, whereas in finer-textured soils even small additions substantially enhanced retention. Mucilage reduced calcium diffusion in sandy soils across moisture levels, reflecting increased liquid-phase viscosity, while in fine-textured soils it prevented the sharp decline in diffusion during drying by maintaining liquid connectivity. Neutron radiography revealed consistently wetter rhizosphere zones compared to bulk soil, with the strongest hydration gradients occurring in sandy soils, precisely where hydraulic continuity is otherwise most fragile.
Carbon tracing further showed that plants actively adjust their belowground investment in response to soil physical constraints. In sandy soils, particularly under dry conditions, seminal, lateral, and crown roots exhibited elevated 14C allocation to the rhizosphere, indicating enhanced exudation. This sustained carbon investment coincided with root system architectures that maintained access to hydraulically buffered zones near the root surface. Together, these observations demonstrate that plants deploy more, and hydraulically more effective, mucilage where soil texture imposes the strongest physical limitations on water flow.

Taken together, these findings establish a mechanistic link between soil texture, carbon allocation to root exudation, and rhizosphere hydraulic regulation. They reposition mucilage from a passive by-product of root growth to a central component of plant drought strategy and highlight rhizosphere engineering as a key process shaping plant water relations across soils. This perspective opens new avenues for incorporating soil physical context into models of plant drought response and for developing soil- and crop-specific strategies to improve root-zone water availability under increasing climate extremes.

How to cite: Zare, M., Hosseini, B., Adamczewski, R., and Spinoso Sosa, S.: Plants as Engineers: Carbon Investment and Hydraulic Control in the Rhizosphere, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5961, https://doi.org/10.5194/egusphere-egu26-5961, 2026.

EGU26-6379 | ECS | Posters on site | HS8.3.4

From Rhizotron Experiments to Functional–Structural Models: Quantifying Root Plasticity Under Soil Water Heterogeneity 

Erfan Nouri, Xavier Draye, and Mathieu Javaux

                         From Rhizotron Experiments to Functional–Structural Models: Quantifying Root Plasticity Under Soil Water Heterogeneity
                                                                                              Erfan Nouri, Xavier Draye, Mathieu Javaux
                                                                                                                         Abstract
Understanding root water uptake under heterogeneous soil moisture conditions is a central objective of this PhD, which aims to improve the mechanistic representation of root–soil interactions under climate-driven drought. Achieving this requires accurate, spatially resolved information on soil water availability at the scales experienced by individual roots rather than whole root systems. However, experimental approaches capable of quantifying soil moisture heterogeneity non-destructively and under controlled hydraulic conditions remain limited.

Within the HYDRA-MAIZE project, we developed a compartmentalized rhizotron platform designed to monitor root growth and soil moisture simultaneously under controlled soil water potential patterns. The system imposes stable, user-defined soil water potentials across
hydraulically isolated compartments while enabling optical measurements of soil moisture via light-transmission imaging.

We established a calibration framework that combines image-based light-transmission measurements with independent determination of soil water retention. Normalized light intensity is used to account for structural heterogeneity unrelated to water content, enabling
assessment of relationships between transmitted light, volumetric water content, and imposed suction. This provides a basis for evaluating theoretical and empirical formulations linking optical signals to soil moisture state.

The platform further enables quantification of spatial resolution and uncertainty in light-transmission-based water content estimation, both horizontally and vertically within rhizotron compartments. By resolving soil water availability at scales relevant to individual root segments, this setup will allow linking local and systemic morphological and hydraulic responses to soil water heterogeneity at high spatial and temporal resolution without
disturbing the plant or substrate. The platform will also support coupling rhizotron data with functional-structural plant models (FSPM) for quantitative analyses of root–soil interactions.

How to cite: Nouri, E., Draye, X., and Javaux, M.: From Rhizotron Experiments to Functional–Structural Models: Quantifying Root Plasticity Under Soil Water Heterogeneity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6379, https://doi.org/10.5194/egusphere-egu26-6379, 2026.

EGU26-7769 | ECS | Orals | HS8.3.4

Root-to-shoot surface ratio adaptation to soil hydraulic constraints: linking experiments to a soil-plant hydraulics model 

Basile Delvoie, Andrea Cecere, Sébastien Fauconnier, Andrea Carminati, and Mathieu Javaux

Climate change is associated with rising temperatures and an increased frequency of drought events. Plants growing in water-limited environments must develop strategies to adapt to soil water availability. In the short term, stomatal regulation enables the control of transpiration and maintenance of plant water status during drought. Under prolonged water deficit, plants are expected to adjust their shoot-root allocation to sustain growth and survival. Although these adaptive responses are conceptually intuitive, the underlying processes and controlling factors remain poorly understood. Understanding short- and long-term plant responses to drought is crucial for investigating plant adaptation to climate changes.

In this work, we hypothesize that soil properties and climatic demand are key factors affecting plant stomatal conductance in the short term and root-to-shoot surface ratio (RSSR) over the longer term. Indeed, results of a simplified soil-plant hydraulic model demonstrated that the regulation of stomatal conductance and of RSSR should be texture dependent. We investigate these relationships through experiments conducted under controlled environmental conditions. Specifically, we assess how soil water content and soil type influence the RSSR of an isohydric species (maize) and an anisohydric species (sunflower). The experimental findings are subsequently analysed using a simplified soil-plant hydraulic model.

The experiment was conducted in a growth chamber controlling photoperiod, temperature, relative humidity, PAR, and VPD. Maize and sunflower were grown in pots using two contrasting substrates, sand and loam, whose hydraulic properties were characterized using the Hyprop system. Two irrigation regimes were imposed to maintain soil water content within predefined target ranges. Each of the 8 species × substrate × treatment combinations included 10 replicates.

Root and shoot biomass and surface were measured at 3 collects to capture plant growth dynamics. Soil water content was monitored by gravimetric measurements before and after each irrigation, with irrigation volumes adjusted to maintain the target moisture range. In addition, stomatal conductance and leaf water potential were punctually measured to characterize plant functioning.

We used a simplified soil-plant hydraulic model representing the system as three resistances in series (soil, roots, xylem), driven by soil-to-leaf water potential gradients (Carminati & Javaux, 2020). This model was employed to predict the optimal RSSR maximizing carbon assimilation while minimizing the risk of embolism.

Our results show that, despite differences in leaf and root surfaces, RSSRs remain within a similar range for both species. RSSR adaptation to soil texture is lower in maize (isohydric) than in sunflower (anisohydric). In addition, RSSR strongly depends on soil water potential (ψsoil), with a stronger response in sunflower. This relationship is further constrained by soil texture through its hydraulic conductivity. For a given RSSR, plants grown in loam are able to sustain at lower ψsoil compared with those grown in sand. To survive at similar ψsoil in a sandy soil, plants would require a substantial increase in RSSR. However, root active surface depends on soil types and modulates the RSSR-ψsoil relationship. Model predictive potential could be further improved by including additional information on active root surface.

How to cite: Delvoie, B., Cecere, A., Fauconnier, S., Carminati, A., and Javaux, M.: Root-to-shoot surface ratio adaptation to soil hydraulic constraints: linking experiments to a soil-plant hydraulics model, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7769, https://doi.org/10.5194/egusphere-egu26-7769, 2026.

Cadmium (Cd), a non-essential and toxic heavy metal, severely disrupts plant physiological and biochemical processes by inducing programmed cell death (PCD). Nitric oxide (NO) and hydrogen sulfide (H₂S) are key signaling molecules involved in plant stress responses, but the molecular mechanisms underlying their crosstalk in Cd-induced PCD remain elusive. Here, we first demonstrated that Cd-triggered PCD is accompanied by NO bursts, where NO dynamically modulates PCD progression—exacerbating cell death when depleted and alleviating it when present. Proteomic analysis of S-nitrosylated proteins revealed that differential S-nitrosylation targets in Cd-induced vs. NO-alleviated PCD are enriched in carbohydrate metabolism and amino acid metabolism, with unique targets in cofactor/vitamin metabolism and lipid metabolism. Additionally, S-nitrosylation of proteins involved in porphyrin/chlorophyll metabolism and starch/sucrose metabolism contributes to Cd-induced leaf chlorosis, while in vivo S-nitrosylation of SEC23 (protein transport), ubiquitinyl hydrolase 1, and pathogenesis-related protein 1 was confirmed, with their expressions upregulated in Cd-induced PCD but downregulated by NO treatment (consistently observed in tomato seedlings with elevated S-nitrosylation levels). Building on this foundation, further investigation using GSNOR (S-nitrosoglutathione reductase, a key regulator of NO homeostasis) and LCD (L-cysteine desulfhydrase, a core enzyme for H₂S biosynthesis) knockout and overexpressing transgenic tomato (Solanum lycopersicum L.) demonstrated that both GSNOR and LCD inhibit Cd²⁺-induced PCD. GSNOR and LCD knockout plants exhibited increased Cd sensitivity and enhanced cell death compared to wild-type controls. Mechanistically, S-nitrosylation of GSNOR at Cys47 and LCD at Cys225 altered their subcellular localization, reduced their enzymatic activities, promoted Cd²⁺ uptake, and thereby accelerated PCD. Notably, S-nitrosylation attenuated the interaction between GSNOR and LCD during PCD progression. Collectively, our findings establish that NO modulates Cd-induced PCD via protein S-nitrosylation, and GSNOR-LCD interactions, together with their post-translational S-nitrosylation, constitute a critical regulatory node integrating NO and H₂S signaling in plant responses to Cd stress. These results provide novel insights into the molecular network underlying heavy metal-induced PCD and the regulatory roles of S-nitrosylation in NO-H₂S crosstalk.

How to cite: Huang, D., Chai, Q., and Liao, W.: S-Nitrosylation of GSNOR and LCD integrates NO and H2S signaling to regulate cadmium-induced programmed cell death in tomato, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7782, https://doi.org/10.5194/egusphere-egu26-7782, 2026.

EGU26-8245 | Orals | HS8.3.4

Divide or expand? Implications of root growth physiology for soil carbon inputs 

Tino Colombi, Anke Herrmann, Jonathan Atkinson, Rahul Bhosale, Sacha Mooney, Craig Sturrock, and Sofie Sjögersten

Plants and their ability to capture atmospheric CO2 are indispensable for the buildup of soil organic matter, underscoring their crucial role in terrestrial carbon cycling. Yet, the plant physiological processes regulating soil carbon inputs and their environmental controls remain severely underrepresented in soil carbon research, which limits our understanding of soil carbon sequestration potential across biomes and land uses. Root biomass constitutes a major input of organic matter to soil that is particularly difficult to estimate. Here, we outline a framework for the explicit integration of root growth physiology into soil carbon dynamics. Using data acquired in rice (Oryza sativa, L.), we provide mechanistic evidence that the expansion of cortical cells in growing roots is a key process determining the fate of the carbon plants allocate to their root system. We combined measurements of carbon partitioning between biomass formation and respiration in growing roots with three-dimensional quantifications of root cortical cell size using high resolution (1.8 μm) X-ray Computed Tomography. With increasing cortical cell size, indicating greater contribution of cell expansion over cell division to root growth, more carbon was allocated to root biomass formation and less to root respiration (R2 = 0.83). We then integrated our experimental findings with data obtained from the literature covering different land use types to highlight the fundamental importance of including root physiological processes in estimating soil carbon inputs. The established structural-functional relationships between root cortical cell size and carbon partitioning point out the paramount role of root physiology in improving our understanding and prediction of carbon fluxes and retention in plant-soil systems. We therefore propose that measurements of root cortical anatomy be included when assessing global change impacts on soil carbon inputs and the potential of soils to sequester carbon.

How to cite: Colombi, T., Herrmann, A., Atkinson, J., Bhosale, R., Mooney, S., Sturrock, C., and Sjögersten, S.: Divide or expand? Implications of root growth physiology for soil carbon inputs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8245, https://doi.org/10.5194/egusphere-egu26-8245, 2026.

Canopy water use efficiency (WUEc) is an important indicator for understanding the coupling between water and carbon processes in agroecosystems. In arid irrigation districts with shallow groundwater which is an important source of evapotranspiration (ET), previous studies have demonstrated that groundwater table depth (WTD) influences the crop water use efficiency. The dynamic response of water use efficiency at the maize canopy scale to WTD remains unclear, particularly regarding the physiological differences across growth stages, which is critical for understanding plant water-use regulation within the soil-plant-atmosphere continuum under shallow groundwater conditions. Based on eddy covariance observations from 2017 to 2019, along with ET partitioning and statistical modeling, this study systematically analyzed the variations in WUEc and its environmental drivers, with a focus on the stage-dependent responses of photosynthesis and transpiration to WTD. The results showed that average T/ET was 85.7% over the three growing seasons, while groundwater contribution to ET was 38.2%, 37.3%, and 29.9% in 2017, 2018, and 2019, corresponding to mean groundwater depths of 1.60 m, 1.76 m, and 1.81 m, respectively. Mean WUEc was 2.28 ± 0.75, 2.22 ± 1.14, and 3.43 ± 1.01 g C kg⁻¹ H₂O in the three years. The fluctuations in WTD significantly affected WUEc, especially in years with relatively low surface water input. The standardized WUEc (WUEz), which excluded the effects of crop development and atmospheric evaporative demand, decreased with deepening WTD during the vegetative growth stage but increased during the reproductive stage. This shift stemmed from the differential sensitivity of canopy photosynthesis and transpiration to WTD at each stage. During the vegetative stage, a deepening WTD caused the standardized photosynthesis (NEPz) to decline more sharply than transpiration (Tz), reducing WUEz. In contrast, during the reproductive stage, both NEPz and Tz increased in response to a deeper WTD, but the greater increase in NEPz led to an overall rise in WUEz. This study reveals a previously unreported, stage-dependent pattern in how crop water-carbon coupling responds to variations in groundwater depth. Our findings provide critical empirical evidence for refining the representation of plant water use regulation under soil water stress in ecohydrological models.

How to cite: Wu, P. and Huo, Z.: Stage-dependent response of maize canopy water use efficiency to groundwater depth: insights from ecosystem flux observations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9393, https://doi.org/10.5194/egusphere-egu26-9393, 2026.

EGU26-11319 | ECS | Orals | HS8.3.4

Earthworm and Plant Root Bioturbation Succession in Compacted Soil Revealed by 2D Rhizobox and X-ray CT Imaging 

Oliver Clark-Hattingh, Conor Wright, Ehsan Nazemi, Fernando Alvarez Borges, Chris Sandom, Tiina Roose, Daniel McKay Fletcher, Katherine A Williams, and Siul Ruiz

Soil structure plays a vital role in ecosystem functioning. Earthworms and plant roots are key bioturbation agents crucial to building and maintaining soil structure suitable for agriculture. However, following soil compaction, the succession of biophysical activity between these agents remains unclear and understanding this dynamic is critical for sustainable soil management.  This study utilised imaging techniques to assess how compaction affects bioturbation by endogeic earthworms and barley roots and their impact on soil functionality (e.g. hydraulic conductivity, water retention, etc.). To this end, two experimental systems were established: (i) rhizoboxes for 2D imaging, photographed regularly over a six-weeks, and (ii) PVC cylinders for X-ray computed tomography (XCT), scanned at trial end. Each system included compacted and uncompacted treatments, with earthworms and barley co-incubated. Compacted systems were surface loaded at 150kPa. Rhizobox imaging tracked biopore formation and interactions between bioturbation agents, while XCT provided high resolution 3D structural data subsequent to bioturbation. Image analysis involved segmenting biopores using thresholding and filtering techniques, such as median and Gaussian for the 2D images and non-local means for 3D XCT images. These methods enabled us to compare the structural characteristics of the biopore systems (i.e. number of biopores, branches, thickness, branch length, etc.). Both image types were skeletonised and combined with local thickness maps to extract the structural metrics assessed.  Results showed compaction reduced mean trends in earthworm bioturbation activity, while root activity largely stayed the same. The results from the XCT data showed that hydraulic conductivity increased markedly after bioturbation, increasing two orders of magnitude in uncompacted and three orders of magnitude in compacted soil. We concluded that for soil restoration, this suggests a sequential approach, with initial cover crop planting to alleviate compaction stress, enabling earthworms to proliferate and create the structure needed to maintain healthy soil functioning and productivity.

How to cite: Clark-Hattingh, O., Wright, C., Nazemi, E., Alvarez Borges, F., Sandom, C., Roose, T., McKay Fletcher, D., Williams, K. A., and Ruiz, S.: Earthworm and Plant Root Bioturbation Succession in Compacted Soil Revealed by 2D Rhizobox and X-ray CT Imaging, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11319, https://doi.org/10.5194/egusphere-egu26-11319, 2026.

EGU26-11437 | ECS | Orals | HS8.3.4

Impact of heavy rainfall and liquid fertilizers on microbial communities and leachate in compost-amended soil 

Helena Vukosavljevic, Xin-Yuan Li, Miriam Monschein, Wisnu Adi Wicaksono, Josef Schneider, Gabriele Berg, and Samuel Bickel

Climate change is increasing risks to agriculture and soil stability, with soil erosion and flooding being significant global threats that reduce crop yields and degrade soil quality. Tightly correlated with the soil’s response to these changes are the impactful and diverse soil microbiota. As primary drivers of organic matter decomposition, microorganisms convert plant inputs into humus and cell residues. This enhances soil’s physical structure, improves pore formation, and consequently, water-retention and infiltration capacity.

To identify and model the effects of agricultural practices, the CARA project [1] is implementing bacterial traits to improve soil resilience under current and future rainfall conditions. This was achieved using a carefully designated rainfall simulator, capable of precisely regulating droplet size and precipitation intensity while maintaining natural terminal velocity, thereby enabling the recreation of various rainfall scenarios. Two scenarios were selected and tested on artificial soil columns with varying content of compost-based organic matter: a current scenario, relating to the precipitation events in Austria, and a future scenario, anticipating increased rainfall intensity and longer dry periods. Furthermore, certain soil columns were supplemented with animal- and plant-based liquid fertilizers to enhance microbial activity.

The aim was to assess the influence of microbial activity on soil structure and its capacity for water retention. We identified that the precipitation scenarios exhibited distinct microbiomes across the treatments and over time, with rainfall intensity influencing soil microbial communities by washing out specific taxa, such as Bacilli and Limnochordia, which were subsequently detected within the leachate. Validation experiments in microcosms confirm the observed evaporation reduction and the treatments with liquid fertilizer showed the highest water retention. Our findings offer a basis for evaluating microbiome-based strategies to enhance soil resilience under climate-driven changes in rainfall patterns.


[1] Climate change adaptation through flood-reducing agriculture (CARA): https://projekte.ffg.at/projekt/4754252

 

How to cite: Vukosavljevic, H., Li, X.-Y., Monschein, M., Wicaksono, W. A., Schneider, J., Berg, G., and Bickel, S.: Impact of heavy rainfall and liquid fertilizers on microbial communities and leachate in compost-amended soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11437, https://doi.org/10.5194/egusphere-egu26-11437, 2026.

Plant roots draw soil water locally, increasing the moisture heterogeneity in the soil at the onset of drought. The resulting heterogeneity presents a major challenge for linking observed flux rates to measured soil moisture values using process-based models. As such, soil moisture heterogeneity is a key remaining hurdle to robust, mechanistic predictions of forest canopy fluxes under water limitation and a stubborn source of uncertainty in predictions of the future terrestrial carbon cycle.

Several recent theoretical advances in describing soil-root water flow at plant or larger scale despite heterogeneous moisture distributions (e.g., Hildebrandt et al., 2016; Vanderborght et al., 2021) share one potentially central feature: the conductance- or flux- weighting of water potential at the soil-root interface. Flux-weighted water potential may be a key concept capable of characterising the hydrodynamic state of the soil-plant system in a single value regardless of its instantaneous heterogeneity.

Given the apparent theoretical promise of this concept, we should ask whether we can infer its values from field observations and, if so, what and how to measure. The challenges of directly measuring plant water potential over time are already daunting aboveground. Maintaining a dense network of probes for soil water content and water potential at substantial cost and effort may not yield relevant values, since the potential drop toward the root is nonlinear and largest over the final millimetres of soil. One potentially promising avenue for field observations is afforded by recent advances in optical methods both above and below ground. Separately, key parameters arising from the process-based models will need to be constrained in lab-based experiments. Collaborators within the ongoing HydroScale project aim to develop a complex approach combining traditional and innovative techniques sufficient to infer flux-weighted potentials from field data.

How to cite: Bouda, M.: Can we observe flow-weighted water potential at the root-soil interface in heterogeneously moist soils?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12198, https://doi.org/10.5194/egusphere-egu26-12198, 2026.

EGU26-12447 | ECS | Orals | HS8.3.4

Root Hairs as an Integral Buffer in Stomatal Control of Plant Water Status 

Florian Stoll, Patrick Duddek, and Andrea Carminati

Root hairs are assumed to enhance plant water uptake by increasing root surface area and effective root radius, thereby reducing dissipation of soil water potential in the rhizosphere and increasing transpiration. However, recent field observations indicate that their dominant hydraulic role emerges at short time scales through dynamic regulation of the soil–plant system rather than through steady-state flux enhancement.

Field measurements show that transpiration rates scale with soil texture, with plants in coarse-textured soils transpiring at lower rates than those in finer soils. This reduction reflects longer-term structural and physiological adjustment of the plant (e.g. shoot–root allocation), rather than short-term stomatal control. In contrast, steady-state transpiration has little sensitivity to the presence or absence of root hairs. Instead, plants lacking root hairs exhibit rapid and pronounced dissipation and oscillations of leaf water potential during periods of high atmospheric vapor pressure deficit, particularly in coarse-textured soils. These fluctuations occur on time scales of minutes to tens of minutes, overlapping with typical stomatal response times. In contrast, plants with root hairs showed smooth, non-oscillatory leaf water potential dynamics.

We propose that the most prominent hydraulic effect of root hairs is to buffer excessive oscillations in leaf water potential that are too fast compared to stomatal response kinetics. Root hairs introduce a physical buffering component by increasing the volume of water that can be extracted from the rhizosphere. In this way root hairs integrate short-term fluctuations in transpiration demand and damp rapid water potential changes. In the absence of root hairs, this buffering term is missing, leaving the system vulnerable to high-frequency disturbances that outpace stomatal adjustment.

To investigate this mechanism, we develop a mechanistic soil–plant hydraulic model that explicitly represents rhizosphere processes associated with root hairs and couples them with a dynamic stomatal response model. The model resolves transient water flow and storage and is used to quantify how root hairs modify system capacitance, damping, and stability across soil textures and atmospheric demand.

By focusing on transient dynamics rather than steady-state fluxes, this modelling study advances fundamental understanding of root water uptake regulation and highlights the rhizosphere as a key hydraulic bottleneck which affects the whole plant hydraulic system.

How to cite: Stoll, F., Duddek, P., and Carminati, A.: Root Hairs as an Integral Buffer in Stomatal Control of Plant Water Status, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12447, https://doi.org/10.5194/egusphere-egu26-12447, 2026.

EGU26-13463 | ECS | Orals | HS8.3.4 | Highlight

The Timing of Soil Hydraulic Constraints Shapes Plant Drought Responses 

Saniv Gupta, Andreas J. Wild, Alica Heid, Jessica Thiel, Jonas Humpert, Martin Wiesmeier, Tillmann Lueders, Johanna Pausch, Benjamin Hafner, and Mohsen Zare

As soils dry, soil hydraulic conductivity (Ks) declines nonlinearly and can become a dominant bottleneck to root water uptake, constraining plant gas exchange. Although drought regulation involves both physiological and structural mechanisms, it remains unclear how these mechanisms differ between plants exposed to drought during early development versus at later developmental stage, and how soil texture and its hydraulic behavior shape regulation of soil–plant water relations. The objective of this study was to resolve how the timing of drought exposure reorganizes regulation of the soil–plant–atmosphere continuum (SPAC). Specifically, we aimed to (i) compare drought imposed from early vs at late developmental stage in terms of their reliance on physiological versus structural mechanisms of water-use regulation, and (ii) assess how soil texture and hydraulic trajectories condition these mechanisms.

We addressed these objectives using a controlled phenotyping experiment with six maize genotypes (three landraces and three hybrids) grown in contrasting soil textures (sandy loam and silt loam). Drought was imposed either continuously from the onset of growth or at later stage of plant development. Whole-plant transpiration, plant and soil water potentials, and above- and belowground structural traits were quantified to resolve SPAC regulation under contrasting drought timings.

Across soils and genotypes, transpiration declined to comparable fractions of its maximum within a narrow range of Ks, despite large differences in soil water content (θ) and matric potential (Ψsoil) between sandy loam and silt loam, this identifies Ks rather than θ or Ψsoil as the dominant physical control governing transpiration downregulation. Additionally, SPAC regulation differed strongly with drought timing. Under drought, imposed from early development, plants primarily reduced whole-plant water use through structural downscaling, characterized by reduced shoot area and increased root-to-shoot ratios, while maintaining relatively high transpiration rates per unit leaf area. In contrast, plants exposed to drought at later stage retained larger shoot area but reduced transpiration predominantly through strong stomatal regulation, resulting in lower transpiration rates per unit leaf area at comparable Ks and xylem water potential.

Belowground responses mirrored these contrasting strategies. Drought from onset promoted coordinated structural adjustment, including higher total root length, finer mean root diameters, and enhanced rhizosheath formation relative to late drought. These traits increased effective uptake surface area and were associated with higher soil–plant hydraulic conductance under low Ks. Across soils, high-performing plants converged on a common belowground trait syndrome, characterized by high total root length, fine roots, and enhanced rhizosheath formation, although the genotypes expressing this syndrome differed between soil textures.

Overall, our findings show that drought responsiveness emerges from the interaction between the soil’s hydraulic limit and its timing during development. Accounting for the temporal dynamics of hydraulic constraint, rather than treating drought as a static stress, providing a mechanistic framework to link soil texture, plant traits, and genotypic performance, with implications for targeted breeding and improved crop resilience under increasing climate extremes.

How to cite: Gupta, S., Wild, A. J., Heid, A., Thiel, J., Humpert, J., Wiesmeier, M., Lueders, T., Pausch, J., Hafner, B., and Zare, M.: The Timing of Soil Hydraulic Constraints Shapes Plant Drought Responses, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13463, https://doi.org/10.5194/egusphere-egu26-13463, 2026.

EGU26-14102 | ECS | Posters on site | HS8.3.4

Relations of salinity and soil physico-chemical and hydraulic properties in the Salar del Huasco, Chile 

Carolina Giraldo, Cristina P. Contreras, Sara E. Acevedo, Sarah Leray, Amanda Peña, and Francisco Suárez

High-Andean wetlands in northern Chile are fragile arid ecosystems that sustain biodiversity, water resources, and cultural heritage. These systems are increasingly threatened by climate change, water scarcity, and mining activities. Despite their ecological relevance, soil properties and their spatial variability in these environments remain poorly characterized. This study investigates the relationship between soil salinity and physical, chemical, and hydraulic properties in the Salar del Huasco salt flat. A combined field and laboratory approach was employed. In-situ measurements were conducted during the dry season and included soil moisture, soil temperature, electrical conductivity, and saturated hydraulic conductivity at a depth of 5 cm. Laboratory analyses compromised pH, organic matter content, cation exchange capacity, soluble cations, and aggregate stability. Field results showed that, in general, soil water content and electrical conductivity were higher in areas closer to water bodies, while soil temperature was lower. In the eastern and western zones, located very close to water bodies, soil water content reached 0.17 and 0.23 m³ m⁻³, electrical conductivity values were 1,435.05 and 1,429.42 µS cm⁻¹, and soil temperatures were 16.72 and 15.86 °C, respectively. In contrast, the northern zone exhibited lower soil water content (0.14 m³ m⁻³) and electrical conductivity (444 µS cm⁻¹). Regarding hydraulic properties, the northern zone showed the highest saturated hydraulic conductivity (0.0043 cm s⁻¹), whereas the southern zone exhibited the lowest value (0.0002 cm s⁻¹). Laboratory results indicated predominantly saline soils, characterized by a mean pH of 9.73 (± 0.59) and an average electrical conductivity of 1,167.84 (± 1,288.72) µS cm-1. Among soluble cations, sodium was the dominant species, exhibiting the highest mean concentration (330.17 ± 208.27 meq L⁻¹), followed by potassium (67.65 ± 75.30 meq L⁻¹). In contrast, calcium and magnesium showed comparatively lower mean concentrations of 19.72 ± 15.15 meq L⁻¹ and 11.15 ± 13.44 meq L⁻¹, respectively. Regarding anions, chloride and sulfate were the most abundant, with mean concentrations of 203.51 ± 169.18 meq L⁻¹ and 214.46 ± 155.65 meq L⁻¹, respectively, whereas bicarbonate concentrations were markedly lower (9.23 ± 6.15 meq L⁻¹). Aggregate stability ranged from low to moderate, with an average value of 50 ± 17 %. Marked spatial differences were observed across the salt flat. The northern zone exhibits higher aggregate stability (72%), sand content (71%). In contrast, the southern zone showed higher electrical conductivity (10,486 µS cm-1), silt content (49%), and higher concentrations of soluble calcium (37 meq/L), magnesium (35.42 meq/L), sodium (425.67 meq/L), bicarbonates (11.2 meq/L), and chlorides (356.57 meq/L). The western zone presented the highest pH (10.06), while the eastern zone displayed intermediate values for most variables. These results revealed pronounced spatial heterogeneity in soil properties within the Salar del Huasco salt flat, suggesting differentiated hydro-saline dynamics at the sub-basin scale. Accounting for this variability is essential to support conservation strategies and the sustainable management of high-Andean wetlands under increasing environmental pressure.

How to cite: Giraldo, C., Contreras, C. P., Acevedo, S. E., Leray, S., Peña, A., and Suárez, F.: Relations of salinity and soil physico-chemical and hydraulic properties in the Salar del Huasco, Chile, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14102, https://doi.org/10.5194/egusphere-egu26-14102, 2026.

EGU26-14212 | Orals | HS8.3.4

Ecotones as biological outcomes: spatial variation in tree water use across a boundary of a fog forest. 

Aurora Gaxiola, Víctor García, Álvaro Gutiérrez, and Adrian Rocha

Semi-arid coastal basins where fog sustains fragmented forest patches provide a powerful natural laboratory for examining how vegetation–microclimate feedbacks shape ecotone position and stability. Yet most studies of woodland–open vegetation transitions treat ecotones as passive boundaries imposed by climate or soil conditions, rather than as zones where plant water-use strategies may actively reinforce or relax those boundaries. Here, a coastal Chilean fog forest–shrub ecotone is used to evaluate whether tree water can biologically promote ecotone persistence.

We studied fog-fed relict forests of the endemic temperate tree species Aextoxicon punctatum found on mountain tips of the semiarid coast of central Chile. We quantified sap flux and microclimatic conditions along a transect spanning forest edge to interior, using long-term sap flow measurements from 13 trees of A. punctatum, the dominant tree species in these forest patches, combined with continuous records of temperature, humidity, and vapor pressure deficit (VPD). This design allowed us to assess how tree water use responds to contrasting microclimatic environments across the ecotone.

We found strong edge-to-interior gradients in microclimate, with forest edges experiencing higher temperatures, higher VPD, and greater microclimatic variability than the forest interior. Correspondingly, tree water use differed systematically with tree position along the edge-to-interior gradient. Edge trees exhibited distinct seasonal dynamics and greater sensitivity to atmospheric conditions compared to interior individuals, particularly during periods of higher water availability. Contrary to expectations for a strictly water-limited temperate system, tree water use peaked during cool, foggy autumn and winter months, and contrasts between edge and interior trees were strongest during periods of high water availability, when trees used water most liberally. These patterns indicate that trees occupying different positions within the ecotone persist under contrasting physiological constraints and capacities.

Together, these results support the idea that forest–shrub ecotones are not merely passive boundaries imposed by climate, but may be biologically reinforced by spatial variation in tree water-use strategies. We further suggest that tolerance to edge microclimates, potentially coupled with the ability to exploit non-rain water inputs, may contribute to the persistence and resilience of fog-inundated forest patches. This perspective highlights ecotones as dynamic zones where individual-level physiological performance shapes vegetation boundaries, with implications for predicting coastal dry–humid transitions under climate change.

How to cite: Gaxiola, A., García, V., Gutiérrez, Á., and Rocha, A.: Ecotones as biological outcomes: spatial variation in tree water use across a boundary of a fog forest., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14212, https://doi.org/10.5194/egusphere-egu26-14212, 2026.

EGU26-15088 | ECS | Orals | HS8.3.4

Rooted in reciprocity: interactions and feedbacks in the soil-plant hydraulic continuum 

Zishu Tang, Manon Sabot, Ana García Leher, Anke Hildebrandt, Antonia Pachmann, Anne Verhoef, Enrico Weber, and Max Wittig

Soils play a critical role in regulating plant water availability, with characteristics like bulk density, porosity, and texture determining soil hydraulic properties, that is, properties that affect the soil water retention and water transport. Together with mycorrhizal activity, which influences the conductance of water between the soil and the roots, soil hydraulic properties affect the ease with which plants can access soil water. In turn, root growth also modifies soil structures and mycorrhizal communities, influencing soil water retention and soil hydraulics. Despite a good theoretical understanding of the dynamic interactions between soils and plants, limited information is available on: (i) how much soil texture affects plant hydraulic properties across plant species; and (ii) how much plant roots affect soil hydraulic properties across soil textures. To assess the extent of the feedback loop between soil and plant hydraulics, we transplanted 4-year-old Quercus robur (N=12) and Quercus cerris (N=12) saplings into either a loam or a clay loam, in equal numbers for each species. Following an acclimation period of three to five months, a total of 28 soil water retention curves were measured from soil cores collected at depths of 7-12 cm, 25-30 cm, and 55-60 cm in the vicinity of the trees (i.e., likely to contain root fragments, mycorrhiza, etc.). We measured a further eight water retention curves in the absence of trees, allowing the determination of a baseline of soil hydraulic characteristics. Finally, after the soil sample collection, we established two hydraulic vulnerability curves per tree. Preliminary results show no indication of plant hydraulic acclimation to soil under well-watered conditions. The presence of tree roots affected soil bulk density at depth in the loam, as well as hydraulic properties like the field capacity at -33 kPa and the permanent wilting point, but not in the clay loam. Whether these effects are the same after longer acclimation periods or under water-stress conditions remains to be determined.

How to cite: Tang, Z., Sabot, M., García Leher, A., Hildebrandt, A., Pachmann, A., Verhoef, A., Weber, E., and Wittig, M.: Rooted in reciprocity: interactions and feedbacks in the soil-plant hydraulic continuum, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15088, https://doi.org/10.5194/egusphere-egu26-15088, 2026.

EGU26-15727 | Orals | HS8.3.4

Soil Structure under No-Tillage Enhances Soybean Root Growth and Access to Subsoil Water 

Moacir Tuzzin de Moraes, Luiz Henrique Quecine Grande, John Kennedy dos Santos, Matheus Batista Neri Pereira, Renato Paiva de Lima, Alvadi Antonio Balbinot Junior, and Henrique Debiasi

Soil structure can mitigate both mechanical impedance and water stress, thereby modulating root elongation and access to deep soil water. Although process-based root growth models represent soil–root interactions, they rarely account explicitly for structural conditions and their consequences for the combined effects of water and mechanical stresses on root growth. We quantify how soil structure under no-tillage influences soybean root elongation, effective rooting depth, and water-deficit mitigation, and we parameterize these effects in a biophysical root-growth model. A long-term field experiment established in 2016 compared three cropping systems preceding soybean (Glycine max): ruzigrass (Urochloa ruziziensis), maize (Zea mays), and fallow. Soybean root length density and soil physical attributes were measured in nine layers down to 210 cm. Effective rooting depth was defined as the depth containing 95% of total root length. Plant-available water was computed from soil water retention between −60 and −15,000 hPa, and readily available water was assumed as 50% of plant-available water within the rooted zone. Grain yield was determined at harvest. In addition, soybean root elongation rate was measured in the laboratory using core from field and repacked samples across gradients of degree of saturation and soil penetration resistance. The structural effect was incorporated as a parameter in a biophysical model that combines water and mechanical limitations to root elongation. Increasing soil penetration resistance from 1.0 to 3.5 MPa reduced relative root elongation by 46% in preserved structure, whereas reductions reached 76% in repacked soil. At 0.5 MPa and 60% degree of saturation, elongation in repacked soil was 29% higher than in preserved structure, but both structural conditions converged as soil penetration resistance increased to 1.0 MPa. Under 90% degree of saturation, elongation in preserved structure was nearly threefold that in repacked soil. In the field, effective soybean rooting depth (in a trench of 210 cm depth) differed among previous cropping systems, with ruzigrass promoting substantially deeper roots (154.7 cm at 95% cumulative distribution) compared with maize (127.9 cm) and fallow (121.0 cm). Root length density in the 0 to 10 cm layer was highest after ruzigrass (4.72 cm cm-3), followed by maize (3.33 cm cm-3) and fallow (2.48 cm cm-3). Cumulative root length in the soil profile from 0 to 210 cm reached 202.2 cm cm-2 after ruzigrass, compared with 128.4 cm cm-2 after maize and 94.3 cm cm-2 after fallow. Soybean yield was 2.9 (after ruzigrass), 2.6 (after maize), and 2.1 Mg ha-1 (after fallow). Plant-available water in the soybean root zone was 175 mm after ruzigrass, compared with 145 mm after maize and 140 mm after fallow, indicating a 25% increase relative to fallow. Assuming evapotranspiration of 7 mm d-1, this represents approximately 15 days of water supply after ruzigrass versus 12 days after fallow. Preserved soil structure improved soybean root performance under strong physical constraints and increased deep water access. Explicitly representing soil structural conditions in simulation models can improve predictions of rooting depth and drought mitigation under no-tillage.

Acknowledgements: AGRISUS Foundation [PA 3534/23], CNPq [409621/2023-4] and FAPESP [23/10427-3 and 23/11945-8].

How to cite: Tuzzin de Moraes, M., Quecine Grande, L. H., dos Santos, J. K., Batista Neri Pereira, M., Paiva de Lima, R., Balbinot Junior, A. A., and Debiasi, H.: Soil Structure under No-Tillage Enhances Soybean Root Growth and Access to Subsoil Water, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15727, https://doi.org/10.5194/egusphere-egu26-15727, 2026.

EGU26-15862 | ECS | Posters on site | HS8.3.4

Interactive Effects of Plant Growth-Promoting Rhizobacteria and CO2 levels on Prince Ginseng Health and Quality 

Wen Hui Yan and Charles Wang Wai Ng

The cultivation of medicinal plants focuses not only on biomass yield, but also on the health and quality of medicinal organs with therapeutic effects. Threatened by soil-borne pathogenic fungi Fusarium, the health and quality of Prince Ginseng Pseudostellaria heterophylla (P. heterophylla) is severely reduced. Plant growth-promoting rhizobacteria (PGPR), as a promising sustainable alternative, have demonstrated potential for biocontrol and soil fertilisation. However, PGPR efficacy is significantly influenced by abiotic factors, such as atmospheric CO2 concentration, which govern plant growth. To investigate the interactive effects of PGPR (Bacillus subtilis and Pseudomonas fluorescens) and CO2 levels (425 ppm and 1000 ppm) on P. heterophylla tuber health and quality, greenhouse experiments were conducted. Results show that Pseudomonas fluorescens, coupled with elevated CO2, synergistically decreases tuber disease incidence by 73% and increases the content of active ingredient polysaccharide by 253%. These improvements can be attributed to the suppressed abundance of Fusarium oxysporum and enhanced root development. Biocontrol bacteria, including Actinobacteria and Proteobacteria, are recruited, especially the genera Bradyrhizobium and Rhodanobacter. The reshaping of the rhizosphere microbiome is accompanied by the upregulation of biological pathways related to metabolite biosynthesis in the rhizosphere. Furthermore, increased indole-3-acetic acid production by PGPR under elevated CO2 signficantly promote root growth. Together, PGPR, particularly Pseudomonas, synergistically interact with elevated CO2 to enhance the health and quality of Prince Ginseng. This study sheds light on how PGPR interacts with abiotic factors influencing plant growth, providing a strategic framework for the sustainable cultivation of high-quality medicinal plants. 

 

The authors would like to acknowledge the financial support provided by the State Key Laboratory of Climate Resilience for Coastal Cities (ITC-SKLCRCC26EG01) and the Research Grants Council of HKSAR (C5033-23G).

How to cite: Yan, W. H. and Ng, C. W. W.: Interactive Effects of Plant Growth-Promoting Rhizobacteria and CO2 levels on Prince Ginseng Health and Quality, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15862, https://doi.org/10.5194/egusphere-egu26-15862, 2026.

EGU26-15878 | ECS | Posters on site | HS8.3.4

Effects of Fertiliser Placement on Soil Osmotic Suction and Growth of Pseudostellaria heterophylla 

Lingga Ekaputra Lucky Suryajaya, Wen Hui Yan, and Charles Wang Wai Ng

Pseudostellaria heterophylla (P. heterophylla) is a widely used Traditional Chinese Medicine plant for human healthcare due to the enriched bioactive compounds in its tubers. Sustained market demand has led to large-scale artificial cultivation of P. heterophylla, where soil nutrient use efficiency is one of the essential factors affecting plant growth. However, how fertiliser placements influence plant growth by altering soil water potential in the root zone remains mechanistically unclear, particularly with respect to osmotic effects. This study aims to investigate the effects of two fertiliser placements, i.e., broadcast and banded treatments, on the growth of P. heterophylla. Fertiliser-induced soil osmotic suction will be monitored, and soil nutrient use efficiency will be analysed during plant growth. By analysing soil osmotic suction and plant characteristics, this work will elucidate how fertiliser placement affects plant growth by altering soil osmotic suction in the root zone. The outcomes of this study are expected to provide practical guidance on fertiliser placements for the artificial cultivation of medicinal plants and insights into soil–plant interactions governed by soil osmotic conditions.

 

The authors would like to acknowledge the financial support provided by the State Key Laboratory of Climate Resilience for Coastal Cities (ITC-SKLCRCC26EG01) and the Research Grants Council of HKSAR (C5033-23G).

How to cite: Suryajaya, L. E. L., Yan, W. H., and Ng, C. W. W.: Effects of Fertiliser Placement on Soil Osmotic Suction and Growth of Pseudostellaria heterophylla, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15878, https://doi.org/10.5194/egusphere-egu26-15878, 2026.

EGU26-16718 | ECS | Orals | HS8.3.4

Disentangling hyphal- and root-derived contributions to dissolved organic carbon in mixed tree systems 

Ramona Werner, Marc Goebel, Andre Kessler, and Taryn Bauerle

Soils represent the largest terrestrial reservoir of organic carbon, with dissolved organic matter (DOM) acting as its most mobile and reactive fraction and the immediate precursor to mineral-associated organic matter, the dominant long-term carbon pool. While DOM dynamics have been extensively studied in bulk soil and the rhizosphere, the hyphosphere—soil influenced by fungal hyphae—remains comparatively understudied, despite the extraordinary spatial reach, rapid turnover, and mineral surface interactions of mycorrhizal fungi. Disentangling root- versus hyphal-derived dissolved organic carbon (DOC) inputs is therefore critical for understanding how recent plant carbon is redistributed and stabilized in soils.

Here, we applied a nested ingrowth core system to experimentally separate rhizosphere and hyphosphere DOC pools under semi-controlled greenhouse conditions. The system consisted of an outer mesh core permitting root and hyphal access and an inner fine-mesh core allowing hyphal ingrowth only, both filled with inert sand. Ingrowth cores were installed in pots containing native tree species planted in monocultures and mixtures. At harvest, distinct sand fractions representing bulk sand, rhizosphere, and hyphosphere subsets were recovered and extracted for total organic carbon (TOC) analysis; samples are being further characterized using untargeted metabolomics.

Preliminary results indicate clear differences in TOC concentrations among compartments, with highest values in rhizosphere samples, intermediate values in the hyphosphere, and lowest concentrations in bulk sand. Species composition exerted a strong influence on total TOC concentrations, and root ingrowth into the outer cores varied markedly among species. Metabolomic analyses are currently in progress and will be used to further assess compositional differences between rhizosphere- and hyphosphere-derived DOC.

Together, this work highlights the hyphosphere as a distinct and experimentally accessible domain of DOC production and underscores the need to explicitly consider fungal pathways when linking fresh carbon inputs to persistent soil organic matter formation.

How to cite: Werner, R., Goebel, M., Kessler, A., and Bauerle, T.: Disentangling hyphal- and root-derived contributions to dissolved organic carbon in mixed tree systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16718, https://doi.org/10.5194/egusphere-egu26-16718, 2026.

EGU26-16759 | Posters on site | HS8.3.4

Experimental Assessment of the Effects of a Lignin-Based Hydrogel on Saturated Hydraulic Conductivity in Soils with Different Textures 

Justína Vitková, Peter Šurda, Monica S. Chandramohan, Katarzyna Grygorczuk-Płaneta, and Katarzyna Szewczuk-Karpisz

Climate change represents a major environmental challenge that adversely affects soil hydrological regimes and water availability for plants. The increasing frequency and intensity of drought events lead to reduced soil moisture, limited infiltration, and deterioration of soil hydrophysical properties, thereby directly constraining crop growth, development, and yield potential. Insufficient soil water availability disrupts key physiological processes in plants, restricts nutrient uptake, and increases vulnerability to abiotic stress.

One promising adaptation strategy to mitigate the adverse effects of drought is the application of hydrogels in agricultural systems. Hydrogels are polymeric materials capable of absorbing and retaining large amounts of water within their structure and subsequently releasing it gradually into the surrounding soil environment. When incorporated into soil, hydrogels can improve soil water regimes and potentially enhance soil hydrophysical properties.

In this study, two soils differing in texture (sandy clay and sandy loam) and a lignin-based hydrogel at 2% application rate were investigated under laboratory conditions. Four incubation periods were established to evaluate the temporal effects of hydrogel application: 1 day, 1 month, 3 months, and 6 months. Saturated hydraulic conductivity was determined using the falling head method.

The results demonstrated that, in sandy clay soil, increasing incubation duration resulted in a statistically significant increase in saturated hydraulic conductivity, ranging from 400 to 800%. In contrast, sandy loam soil exhibited a statistically non-significant decrease (3–10%) during the initial incubation stages, followed by a statistically significant increase of approximately 60% after 6 months. These findings indicate that hydrogel incubation time in combination with soil texture is a key determinant of both the direction and magnitude of hydrogel effects on soil hydrophysical properties.

Overall, the application of lignin-based hydrogels may represent an innovative approach to enhancing agroecosystem resilience to climate change and drought, while supporting sustainable soil and water management at the landscape scale.

 

Keywords: hydrogel, saturated hydraulic conductivity, drought, climate change

 

Acknowledgement: The authors would like to thank the National Agency of Academic Exchange for the financial support (NAWA, Strategic Partnerships, BNI/PST/2023/1/00108) and the Scientific Grant Agency (VEGA 2/0065/24).

How to cite: Vitková, J., Šurda, P., S. Chandramohan, M., Grygorczuk-Płaneta, K., and Szewczuk-Karpisz, K.: Experimental Assessment of the Effects of a Lignin-Based Hydrogel on Saturated Hydraulic Conductivity in Soils with Different Textures, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16759, https://doi.org/10.5194/egusphere-egu26-16759, 2026.

EGU26-16789 | ECS | Posters on site | HS8.3.4

Observing invisible bridges: Non-invasive imaging of arbuscular mycorrhizal fungal structures in soil pore space 

Henri Braunmiller, Nicolai Koebernick, Michael Bitterlich, Eva Jacob, Anna Heck, Andrea Schnepf, Johanna Pausch, Jan Jansa, and Mutez Ahmed

Arbuscular Mycorrhizal Fungi (AMF) are plant symbionts that colonize the root cortex, but also extend their extraradical hyphal networks deep into the soil. These networks increase root-soil contact, modify soil structure and facilitate water- and nutrient transport towards the root. The fine, almost “invisible” bridges formed by these networks may gain relevance when soil becomes dry and water and nutrient resources scarce. Their pore-bridging function may connect the roots to soil patches containing water and nutrient resources, potentially preventing root shrinkage while maintaining transport.

Only recently, a high-resolution non-invasive imaging tool became available that now allows us to study the fine, delicate AMF structures in pore space in situ. Here we are presenting a workflow based on synchrotron-based X-ray computed microtomography  imaging. We have developed setups to cultivate AMF at different levels of biotic complexity and subsequently image and analyze AMF hyphosphere and rhizosphere structures quantitatively and non-invasively. This approach has been successfully applied to two AMF species in contrasting soil textures, namely sand and loam. We present the 3D results of key architectural and morphological traits of AMF spores, hyphae and intraradical structures. These include structure counts, total hyphal length, branching frequency, volume, and surface area. Moreover, this study measured a set of novel parameters: (i) the AMF-soil and AMF-root interface areas, and (ii) the AMF pore space occupancy. These data can be linked to hyphal length densities measured destructively, as well as to the plant-scale data such as shoot biomass, C-, N- and P-contents in the leaves, and stomatal conductance.

How to cite: Braunmiller, H., Koebernick, N., Bitterlich, M., Jacob, E., Heck, A., Schnepf, A., Pausch, J., Jansa, J., and Ahmed, M.: Observing invisible bridges: Non-invasive imaging of arbuscular mycorrhizal fungal structures in soil pore space, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16789, https://doi.org/10.5194/egusphere-egu26-16789, 2026.

EGU26-16810 | ECS | Posters on site | HS8.3.4

Impact of lignin-based hydrogel on wheat growth on different soil types 

Katarzyna Szewczuk-Karpisz, Sylwia Kukowska, Marina Kyrychenko-Babko, and Olena Siryk

The application of hydrogels in soils is intended to enhance water-holding capacity, improve nutrient accessibility, and strengthen soil structure, thereby supporting plant growth and long-term soil sustainability. Therefore, we examined the impact of lignin-based hydrogel on the water evapotranspiration and wheat growth on four Polish soils: two forest soils (collected from Lasy Janowskie and Maziarnia) and two agricultural soil (from Grodzisko Górne and Lublin), as well as its degradation degree. Evapotranspiration measurements were conducted for 21 days, whereas wheat growth and hydrogel degradation were monitored at 1 day, 1 month, 3 months, and 6 months. Wheat growth experiment was conducted in a phytotron, under drought conditions.

Hydrogel degradation studies showed variability depending on soil type. The most pronounced increase in mass loss over time occurred in the soils collected from Lasy Janowskie and Maziarnia sites, while the soils from Grodzisko Górne and Felin-Lublin showed comparatively limited changes, indicating higher durability of hydrogel in agricultural soils. Evapotranspiration measurements showed that hydrogel reduced water loss over time in all soils. This phenomenon translated into increased height and dry mass of wheat shoots, especially in agricultural soils. For example, above-ground part of wheat grown in the soil from Felin-Lublin was 15.6 cm after incubation with hydrogel for 6 months, compared to the 10.5 cm in the not amended soil. On the other hand, a significant decrease of the height was observed for plants grown in the amended soil from Maziarnia (12.8 cm in the control, compared to 8.5 cm in amended soil).

Overall, the obtained results suggested that the lignin-based hydrogel can reduce water evapotranspiration from the soil, which in turn improves wheat growth on the selected soils types.

 

The research was founded by Polish National Agency for Academic Exchanges under Strategic Partnerships Program (BNI/PST/2023/1/00108).

How to cite: Szewczuk-Karpisz, K., Kukowska, S., Kyrychenko-Babko, M., and Siryk, O.: Impact of lignin-based hydrogel on wheat growth on different soil types, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16810, https://doi.org/10.5194/egusphere-egu26-16810, 2026.

EGU26-17300 | Posters on site | HS8.3.4

Preferential rhizosphere rewetting in water repellent sandy soil 

Pascal Benard, Rong Jia, Sara Di Bert, Birgit Wassermann, Samuel Bickel, Anders Kaestner, Huadong Zang, and Andrea Carminati

In a large field trial on sandy loam, Lama et al. (2022)1- albeit involuntary - tested the effect of drought on the performance of 300 genotypes during two contrasting years: 2017 (cool and wet) and 2018 (hot and dry). Remarkably, some genotypes achieved yields under drought conditions (2018) comparable to established high-yielding varieties. The reason for this remains unclear.

One possible explanation is that this positive effect is linked to modifications of rhizosphere wettability. Sandy soils are known to be susceptible to water repellency upon drying, and several crops, such as maize, barley, and wheat, can modify soil wettability through root exudation2. However, it is still uncertain whether rhizosphere water repellency in sandy soils is an advantage, as it can delay rewetting and thereby reduce biological activity and potentially limit root water uptake.

In this study, we investigated the effect of rhizosphere-induced wettability modifications on water dynamics in naturally water-repellent sandy soil. Using time-series neutron radiography, we quantified rewetting dynamics following a dry-down experiment. While the bulk soil exhibited reduced rewetting, preferential rewetting was observed in the rhizosphere of maize. This finding may help to explain why certain plants benefit from reduced precipitation in sandy soils. Firstly, rewetting occurs preferentially in the rhizosphere, where it can directly support microbial activity and root water uptake. Secondly, localized rewetting may reduce nutrient leaching and promote nutrient retention and turnover through localized enzyme activity.

 

References

1. Lama, S., Vallenback, P., Hall, S. A., Kuzmenkova, M. & Kuktaite, R. Prolonged heat and drought versus cool climate on the Swedish spring wheat breeding lines: Impact on the gluten protein quality and grain microstructure. Food Energy Secur. 11, e376 (2022).

2. Naveed, M. et al. Surface tension, rheology and hydrophobicity of rhizodeposits and seed mucilage influence soil water retention and hysteresis. Plant Soil 437, 65–81 (2019).

How to cite: Benard, P., Jia, R., Di Bert, S., Wassermann, B., Bickel, S., Kaestner, A., Zang, H., and Carminati, A.: Preferential rhizosphere rewetting in water repellent sandy soil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17300, https://doi.org/10.5194/egusphere-egu26-17300, 2026.

EGU26-18106 | ECS | Posters on site | HS8.3.4

Mathematical Modelling of the Root-Mycorrhiza-Soil System System 

Anna Sophia Heck, Daniel Leitner, Henri Michael Braunmiller, Johanna Pausch, Mutez Ali Ahmed, Michael Bitterlich, Holger Pagel, and Andrea Schnepf

Arbuscular mycorrhizal fungi (AMF) are widespread symbiotic partners of most terrestrial plants and form close associations with their roots. While their role in enhancing nutrient uptake, particularly phosphorus, has been well studied, their effects on and of soil structure, and plant water uptake have not been investigated as broadly.

The complexity of interactions between plants, fungi, and soil under varying environmental conditions is difficult to disentangle experimentally. In-silico investigations offer an alternative means to explore these effects. We developed a 3D-model describing AMF colonization of a growing root structure and the growth of extraradical mycelium. We used the model to simulate how extraradical hyphae extend from colonized roots into the soil volume. The model is being implemented as an extension of CPlantBox, a functional-structural model for water and carbon processes at the whole-plant level.

Model parameterization is based on experimental and additional literature data. This includes information on root architecture, AMF colonization rates and locations, and nutrient transport and water flow in tomato plants and their associated hyphal networks. The plants were grown in sandy and loamy soils under both drought and well-watered conditions.

The 3D AMF colonization model explicitly represents hyphal extension rates, branching angles, and the spatial propagation of the extraradical mycelium from infection points along the root system. Key components of the model are the representation of the dynamics of root growth, growth of the intraradical and extraradical mycelium, anastomosis, and the ability of AMF hyphae to fuse and form complex networks.

The model is used to assess, visualize, and quantify how AMF networks develop, branch, and interconnect, providing mechanistic insight into their contribution to plant nutrition and drought tolerance.

How to cite: Heck, A. S., Leitner, D., Braunmiller, H. M., Pausch, J., Ahmed, M. A., Bitterlich, M., Pagel, H., and Schnepf, A.: Mathematical Modelling of the Root-Mycorrhiza-Soil System System, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18106, https://doi.org/10.5194/egusphere-egu26-18106, 2026.

EGU26-18935 | ECS | Posters on site | HS8.3.4

Motile bacteria act as pump to move water through soil matrices 

Beatriz Meza-Manzaneque, Emma Gomez, Gloria de las Heras, Iker Martin Sanchez, Nicola Stanley Wall, Anke Lindner, Eric Clement, Natalia Elguezabal, and Lionel X. Dupuy

Rhizosphere microbiomes are known to enhance plants’ resistance to drought, and this effect has been mainly accredited to fungi and their capacity to transport and uptake water. Here, we studied how mechanical energy from motile bacteria can also contribute to water transport in soil, a mechanism we termed microbial pumps. We ran a series of microcosm and apparent surface tension experiments using different motility mutant strains of Bacillus subtilis, and characterised water transport in the pore space. Results confirmed that flagellar-based motility enhances the movements of water in soil reducing the apparent surface tension of the fluid and promotes the rewetting of dry hydrophobic regions of the soil. The effect was confirmed to be biomechanical because it was dependent on cell density and swimming speed. Collectively, these results highlight the potential of motile microorganisms to enhance water availability for crops.

How to cite: Meza-Manzaneque, B., Gomez, E., de las Heras, G., Martin Sanchez, I., Stanley Wall, N., Lindner, A., Clement, E., Elguezabal, N., and X. Dupuy, L.: Motile bacteria act as pump to move water through soil matrices, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18935, https://doi.org/10.5194/egusphere-egu26-18935, 2026.

Seed Priming with Silver Ions Decreased Cadmium Absorption by Wheat Grains via Reactive Oxygen Species Generation
Chenghao Ge1, Yixuan Wang1, Dongmei Zhou1*,
1 State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, P.R. China
Contact Email: gech@nju.edu.cn
Tel: 13011701863

Abstract: Cadmium (Cd) contamination in wheat grains poses a serious threat to human health, making the development of low-cost and environmentally friendly strategies to reduce Cd accumulation in wheat a critical need. In this study, we demonstrate that priming wheat seeds with silver ions (Ag⁺) leads to the in-situ formation of silver nanoparticles (AgNPs), which function as ROS-generating nanoparticles to improve tolerance to Cd stress across seed, seedling, and mature plant stages. Seeds treated with 0.11 mg L⁻¹ Ag⁺ showed the highest hydrogen peroxide (H₂O₂) levels and the lowest tissue Cd concentrations during seedling growth. The application of diphenyleneiodonium chloride (DPI) during Ag⁺ priming suppressed H₂O₂ production and resulted in increased Cd uptake in seedlings. Notably, elevated H₂O₂ levels were maintained even during the grain-filling period in Ag⁺-primed plants. Transcriptomic analysis revealed that Ag⁺ priming induces extensive transcriptional reprogramming in wheat. KEGG pathway enrichment combined with quantitative real-time PCR indicated activation of stress-signaling and metal-absorption-related pathways, including plant hormone signal transduction and the MAPK signaling pathway. Furthermore, Ag⁺ priming modulated the expression of key Cd-related genes, downregulating the Cd transporter gene TaABCB11, while upregulating vacuolar sequestration genes (TaABCC9 and TaHMA3) and the cellular Cd export gene TaTM20. These changes suggest that Ag⁺ priming triggers a ROS-mediated stress response, establishing a “stress memory” that persists throughout the growth cycle, enhances Cd tolerance, and ultimately reduces grain Cd accumulation by 39.5% in pot trials and 26.4% in field experiments.

Keywords: Seed priming, stress memory, cadmium, sustainable agriculture
Chenghao Ge, postdoctor of Nanjing University, School of the Environment. His research topics are focused on the safe production in heavy metal-contaminated farmland.

 

How to cite: Ge, C.: Seed Priming with Silver Ions Decreased Cadmium Absorption by Wheat Grains via Reactive Oxygen Species Generation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18957, https://doi.org/10.5194/egusphere-egu26-18957, 2026.

EGU26-20137 | Orals | HS8.3.4

Root mucilage alters stomatal responses to soil and atmospheric drought 

Asegidew Akale, Gaochao Cai, Efstathios Diamantopoulos, Frederic Leuther, Lara Kersting, Scott McAdam, Shurong Liu, and Mutez A. Ahmed

Plants respond to soil and atmospheric water deficits through strategies such as stomatal regulation and belowground adaptations. Root mucilage buffers erratic fluctuations in the rhizosphere water content, yet its influence on soil hydraulic properties, especially unsaturated hydraulic conductivity, and stomatal regulation remains unknown. We hypothesized that mucilage facilitates water uptake by attenuating the drop in matric potential at the root–soil interface during soil and atmospheric drying. We measured the impact of various maize (Zea mays) mucilage contents (0.0%, 0.05%, 0.2%, and 0.4%) on the water retention and hydraulic conductivity of a loamy soil. Leveraging a soil–plant hydraulic model, we investigated the effects of mucilage contents on transpiration and stomatal responses under soil drying and increased vapor pressure deficit (VPD). Higher mucilage contents prevented sharp declines in unsaturated hydraulic conductivity as soils dried. Simulations revealed that higher mucilage contents delayed the onset of hydraulic stress (the threshold transpiration rate beyond which a small increase in transpiration would result in a disproportionate decline in leaf water potential), broadened the hydroscape zone, and shifted stomatal behavior from isohydric to more anisohydric regulation, enabling plants to sustain stable transpiration and lower midday leaf water potentials under drought. The buffering effects on soil–plant hydraulics persisted across varying degrees of VPD, although high mucilage contents accelerated soil drying, indicating a trade-off between improved water uptake and faster moisture depletion during prolonged drought. Our findings underscore the important role of mucilage in modulating soil–plant water relations and stomatal regulation, offering insights into strategies for improving plant responses to soil and atmospheric drought.

How to cite: Akale, A., Cai, G., Diamantopoulos, E., Leuther, F., Kersting, L., McAdam, S., Liu, S., and Ahmed, M. A.: Root mucilage alters stomatal responses to soil and atmospheric drought, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20137, https://doi.org/10.5194/egusphere-egu26-20137, 2026.

EGU26-20260 | ECS | Posters on site | HS8.3.4

Do soil microbes maximize their growth? 

Vani Chaturvedi, Thomas Wutzler, and Axel Kleidon

Soil organic matter (SOM) forms the foundation of microbial life in the soil and its processes. However, what drives the organization of organic matter turnover and microbial communities into growth remains unclear. In particular, we ask whether physical conditions in the soil—such as the quantity or quality of litter inputs—exist to which soil microbial processes adapt in order to maximize microbial growth as a proxy for power. We address this question in the frame of the German priority program 2322  by building on the maximum power principle. The principle suggests that biological systems tend to maximize the flux of energy into useful power under given constraints. We study a minimal model of SOM dynamics at steady state. In the model, litter inputs add to the organic matter pool, which is decomposed by microbial enzymes into compounds available for microbial uptake. The flux of Gibbs free energy provided with litter is used to build biomass while dissipating it during cycling, and the microbial decay returns as dead microbial biomass to the soil pool. We explore how different model structures, feedbacks, and parameterizations might lead to a maximum in the flux of free energy to microbial biomass, thereby providing insights into the conditions under which microbial growth is energetically optimized in soils.

How to cite: Chaturvedi, V., Wutzler, T., and Kleidon, A.: Do soil microbes maximize their growth?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20260, https://doi.org/10.5194/egusphere-egu26-20260, 2026.

EGU26-21264 | ECS | Posters on site | HS8.3.4

Simulation of Soil Moisture Dynamics Using Root Water Uptake Models under Stage-Specific Stress Conditions 

Deep Chandra Joshi, Pragna Dasgupta, and Bhabani S. Das

Accurate representation of root water uptake processes is critical for simulating soil water dynamics under crop water stress, particularly when stress coincides with variable rainfall events. HYDRUS provide a useful framework for evaluating plant–soil interactions under contrasting moisture conditions by simulating different modes of root water uptake, such as compensated and non-compensated uptake.

An experimental study was conducted to examine soil–plant water dynamics under water stress occurring at different crop growth stages. The study focused on three distinct stress scenarios: (a) no water stress, (b) water stress during the vegetative phase, and (c) water stress during the flowering stage. Field measurements included soil water potential at 10 cm depth and root traits, specifically root length and root biomass, to characterize plant water availability and rooting behavior under contrasting moisture conditions.

The HYDRUS-1D model was applied to simulate soil water content dynamics using both compensated and non-compensated root water uptake formulations. Root length and biomass data were used to define root distribution functions in the model. Simulated soil water potential patterns were compared qualitatively across growth stages and root water uptake approaches. The results indicated that the compensated root water uptake model better represented soil moisture depletion and redistribution patterns under stress conditions, particularly when rainfall events occurred during flowering and grain filling stages. Overall, the study highlights the importance of incorporating compensation mechanisms in root water uptake models to improve the simulation of soil water dynamics under stage-specific crop water stress.

How to cite: Joshi, D. C., Dasgupta, P., and Das, B. S.: Simulation of Soil Moisture Dynamics Using Root Water Uptake Models under Stage-Specific Stress Conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21264, https://doi.org/10.5194/egusphere-egu26-21264, 2026.

EGU26-21300 | ECS | Orals | HS8.3.4

A novel rhizotron platform for studying root–soil hydraulic interactions in heterogeneous environments 

Tian-Jiao Wei, Xavier Draye, and Mathieu Javaux

The objective of this study is to investigate experimentally how plants adjust their structural and functional properties when facing soil water heterogeneity from the plant down to the organ scales. We developed a novel rhizotron platform, each rhizotron equipped with 9 hydraulically isolated compartments, wherein constant spatial patterns of local soil water potential can be imposed while monitoring water consumption and root development. In the validation experiment, maize plants (cv. B104) were grown under constant and homogeneous water potential in this rhizotron platform for four weeks, before entering a fifth week in which different levels of water potential were imposed. The desired local soil water potentials were successfully applied and adjusted. The local water consumption and root morphological trails were monitored in real time, indicating that root water uptake and root elongation correlate with root age and local soil moisture. At the whole-plant scale, more negative soil water potentials resulted in a lower cumulative water uptake, while at the local scale, cumulative water uptake within individual compartments increased more rapidly as root length within the same compartment increased, indicating a direct coupling between local root development and local water extraction. These observations highlight a strong spatial-temporal linkage between root trails and soil water conditions. Together, the validated rhizotron platform enables root plasticity studies by establish a quantitative and dynamic measurements for soil–root hydraulic interactions at the plant and organ scale, providing a promising platform for future studies exploring how maize plants respond to spatial and temporal heterogeneity in soil water environments. 

How to cite: Wei, T.-J., Draye, X., and Javaux, M.: A novel rhizotron platform for studying root–soil hydraulic interactions in heterogeneous environments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21300, https://doi.org/10.5194/egusphere-egu26-21300, 2026.

Polyphosphates (poly-P), consisting of two or more phosphate residues, are not directly available to plants and must first be hydrolyzed to orthophosphate (ortho-P). Although microbial polyphosphatase activity is well established, there is currently no evidence for extracellular poly-P-hydrolyzing enzymes produced by plants in the rhizosphere. This study investigated the capacity of plants to hydrolyze and utilize long-chain and cyclic poly-P forms and sought to identify extracellular poly-P hydrolytic activity of plant origin.

Six plant species were cultivated under sterile conditions with either cyclic poly-P or ortho-P as the sole phosphorus source. Pronounced interspecific differences were observed in poly-P utilization. Lettuce exhibited limited growth on poly-P, whereas pepper achieved biomass levels comparable to those supplied with ortho-P, providing direct evidence of rhizospheric poly-P hydrolysis. Enzymatic assays using intact plant tissues revealed significantly higher hydrolytic activity in pepper roots than in lettuce, while leaves showed minimal activity in both species.

Protein extracts from pepper roots were further analyzed to characterize the enzymatic activity. Poly-P hydrolysis was abolished by heat treatment, confirming enzymatic involvement. Fractionation by fast protein liquid chromatography (FPLC) led to the isolation of an approximately 20 kDa protein displaying strong poly-P hydrolytic activity, exceeding that of known plant phosphatases. The enzyme preferentially hydrolyzed shorter poly-P chains, with activity declining as chain length increased.

These findings provide the first evidence for a polyphosphatase-like enzyme in vascular plants. The identification of an extracellular, root-derived enzyme capable of hydrolyzing long-chain poly-P challenges the prevailing paradigm that plants rely exclusively on soil microorganisms for the conversion of complex polyphosphates into bioavailable forms.

How to cite: Toren, N. and Erel, R.: Evidence for a Polyphosphatase-Like Enzyme Catalyzing the Hydrolysis of Long-Chain Polyphosphates in the Rhizosphere, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21534, https://doi.org/10.5194/egusphere-egu26-21534, 2026.

The subsoil contains valuable nutrient and water resources for crop production, but high penetration resistance impedes root growth and therefore resource access. Large-sized biopores formed by deep-rooting perennial taprooted crop species such as chicory and lucerne can provide pathways through compacted subsoil layers. Different field and mesocosm experiments have shown that colonization by anecic earthworms modifies physical and biochemical properties of biopore networks and pore walls, further increasing attractivity of biopores for crop roots. The intensity of biopore exploration by crop roots and resulting nitrogen uptake from biopore walls as assessed with a combination of classical root-length density determination, in-situ endoscopy and 15N-labelling varies across different crop species and seems to be largely determined by root architecture. Long-term field observations show that benefits of precrops forming large-sized biopores for following crops in terms of water and nutrient uptake as well as grain yield generally in dry years and particularly pronounced for spring-sown cereals.

How to cite: Athmann, M.: Root-soil interactions in biopores and their role in climate adaptation of cropping systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22888, https://doi.org/10.5194/egusphere-egu26-22888, 2026.

EGU26-1070 | ECS | Orals | HS8.2.13

Integrating Controlled Drainage and Sub-Irrigation demand: Insights from FLUSH simulations in a Nordic agricultural field 

Joy Bhattacharjee, Heidi Salo, Minna Mäkelä, and Harri Koivusalo

Nordic agricultural drainage systems have traditionally been designed for the removal of excess water from spring snowmelt and autumn rainfall; however, as the crops grow, increased evapotranspiration coupled with typical low precipitation in the early growing season can result in moisture shortages. Controlled drainage (CD) offers a more adaptive solution by regulating outflow and maintaining higher water table depths (WTDs), thereby enhancing soil moisture retention and reducing nutrient losses. While the hydrological benefits of CD are well established, its potential to quantify sub-irrigation, the additional water required to maintain optimal root-zone moisture, remains insufficiently explored. In this study, we applied FLUSH, a process-based two-dimensional hydrological model, to assess whether controlled subsurface drainage systems can be used to estimate sub-irrigation demand in a flat agricultural field in northern Finland. Three water-management scenarios were simulated: conventional drainage (CV), CD, and controlled subsurface drainage with sub-irrigation (CD-SI). Multi-year simulations were used to evaluate WTD dynamics, drain discharge, groundwater outflow, and upward water movement under different scenarios. Model results show that elevating drainage control levels increases water retention and can generate upward flow from drains during dry periods, partially meeting crop water demand. Scenario comparisons confirm that the CD-SI (sub-irrigation) scenario introduces a consistent subsurface inflow, while CV and CD present minimal upward fluxes. Evapotranspiration patterns are primarily climate-driven, with only moderate increases under CD and CD-SI due to improved soil moisture availability. Both controlled and sub-irrigated systems reduce cumulative and daily drain discharge, indicating enhanced infiltration and storage within the root zone. These findings also show that CD systems with continuous monitoring can provide valuable information for estimating sub-irrigation demand, especially in soils with high microporosity and hydraulic conductivity. Overall, the study highlights the potential of integrated drainage and sub-irrigation strategies to support climate-responsive water management in Nordic agriculture.

How to cite: Bhattacharjee, J., Salo, H., Mäkelä, M., and Koivusalo, H.: Integrating Controlled Drainage and Sub-Irrigation demand: Insights from FLUSH simulations in a Nordic agricultural field, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1070, https://doi.org/10.5194/egusphere-egu26-1070, 2026.

EGU26-1549 | ECS | Orals | HS8.2.13

Spatiotemporal dynamics of groundwater recharge in Bangladesh 

Md Zamil Uddin, Victor Bense, Md Abdul Mojid, and Syed Mustafa

Understanding spatiotemporal groundwater recharge is vital for sustainable water management in Bangladesh, as anthropogenic and climatic factors severely strain available resources. Groundwater recharge in Bangladesh varies widely across its contrasting hydrogeological settings, yet their spatial and temporal dynamics and controlling factors remain insufficiently quantified. This study aims to quantify the spatial and temporal distribution of groundwater recharge across the western hydrogeological zones of Bangladesh and to assess the influence of land use and soil properties on recharge variability. The physically based, spatially distributed water-balance model WetSpass-M was applied to understand the spatial and temporal distribution of groundwater recharge and to examine the influence of geospatial and hydrometeorological parameters on recharge dynamics. Model results reveal a clear upstream–downstream recharge gradient, with persistently low recharge in the clay-dominated Barind uplands and moderate to high recharge in the coastal deltaic plains during the monsoon season. Temporally, recharge is strongly seasonal, occurring predominantly during the monsoon and closely tracking rainfall variability, with negligible dry-season recharge except in irrigated areas. Simulations also indicate declining recharge tendencies in the Barind region, whereas coastal recharge remains comparatively stable. Recharge patterns are strongly controlled by land use and soil properties. Forested and vegetated areas and loam to sandy-loam soils promote recharge, whereas built-up land and clay-rich deposits suppress infiltration. These findings highlight the dominant role of land-surface and subsurface properties in shaping recharge gradients. Future work will extend the analysis temporally and couple WetSpass-M simulated recharge with MODFLOW to support improved groundwater management and site-specific Managed Aquifer Recharge planning in drought- and salinity-prone regions.

How to cite: Uddin, M. Z., Bense, V., Mojid, M. A., and Mustafa, S.: Spatiotemporal dynamics of groundwater recharge in Bangladesh, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1549, https://doi.org/10.5194/egusphere-egu26-1549, 2026.

Intercatchment groundwater flow (IGF) quantifies groundwater fluxes across catchment boundaries, enabling the classification of catchments as either groundwater importers (gaining catchments) or exporters (losing catchments). It is a key component of the unclosed water balance equation that cannot be measured directly. The growing availability of large-sample datasets, gridded meteorological data, and satellite products provides an opportunity to develop a data integration framework to gain insights into this elusive hydrological variable.

This study focuses on the quantification of IGF for the European catchments included in the EStreams dataset. Precipitation and streamflow time series are provided in EStreams, while actual evapotranspiration data were gathered from the Global Land Evaporation Amsterdam Model (GLEAM) version 4. To identify the primary drivers of IGF, a random forest model was trained using a selection of catchment attributes as input variables, with IGF as the target variable. Permutation Variable Importance (PVI) was used to assess feature relevance, and the Maximal Information Coefficient (MIC) was calculated as an alternative method to quantify the relationship between catchment attributes and IGF.

Results of this work highlight the potential of a data integration framework to better characterize the unclosed water balance in European catchments and reveal key factors influencing IGF estimates.

ACKNOWLEDGMENTS: This study has been funded by a Humboldt Research Fellowship for Postdoctoral Researcher from the Alexander von Humboldt Foundation.

How to cite: Yeste, P. and Bronstert, A.: Intercatchment groundwater flow and unclosed water balance: a large-sample evaluation across European catchments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1557, https://doi.org/10.5194/egusphere-egu26-1557, 2026.

EGU26-2301 | ECS | Posters on site | HS8.2.13

Assessing Actual Groundwater Recharge under Climate Variability and Irrigation Pressure in the Upper Guadiana Basin (Central Spain) 

Nafiseh Salehi Siavashani, Estanislao Pujades Garnes, and Anna Jurado

Climate variability and intensifying water use are increasingly altering groundwater systems in semi-arid regions, challenging sustainable water resources management at large spatial scales. The Upper Guadiana Basin (UGB), covering an area of approximately 16,000 km² in central Spain, is a representative groundwater-dependent agricultural system, where long-term irrigation-driven abstractions have caused persistent aquifer depletion. In this context, the development of coupled large-scale hydrological–hydrogeological modeling frameworks, where the main objective of the hydrological model is to calculate groundwater recharge, is essential to realistically assess groundwater dynamics under climate and water-use change.

In this study, we assessed basin-scale groundwater recharge using the mesoscale Hydrologic Model (mHM) for the period 2006–2018. The model was forced with gridded precipitation and temperature data, and calibrated by fitting river-flow at several gauging stations. Model results indicated substantially lower groundwater recharge compared to values expected from hydrogeological knowledge of the basin. This discrepancy is interpreted as evidence that, in the absence of explicit groundwater abstraction schemes, mHM implicitly compensates irrigation-induced groundwater losses by reducing simulated recharge, since this is the only way to minimize baseflow and thus fit the observed measurements during dry periods. Consequently, simulated recharge would represent an “actual groundwater recharge” that integrates both climatic controls and groundwater pumping impacts, rather than natural recharge alone.

To demonstrate that the discrepancy between natural recharge and that calculated by the model may be due to the high rates of groundwater extraction for irrigation, we analytically estimated this discrepancy by combining the irrigated areas from CORINE Land Cover (Coordination of Information on the Environment from the European Environment Agency’s Copernicus Land Monitoring Service) and SIGPAC (Sistema de Información Geográfica de Parcelas Agrícolas) datasets, with crop-specific irrigation requirements derived from FAO guidelines.

The results show that the difference between natural recharge and that calculated by the model is equal to the estimate obtained when considering crop water demand. This finding is of paramount importance for the development of large-scale regional models in arid areas where aquifers are severely overexploited and pumping rates are typically unknown, either due to the lack of meters or the presence of hundreds of unlicensed wells. In these cases, the recharge calculated with the hydrological model allows pumping effects to be incorporated indirectly, representing a major methodological advance and substantially improving model representativeness. Moreover, the results enable the characterization of the spatial distribution of pumping, facilitating the identification of the most critically overexploited areas and supporting the implementation of targeted management measures to improve water resources governance.

How to cite: Salehi Siavashani, N., Pujades Garnes, E., and Jurado, A.: Assessing Actual Groundwater Recharge under Climate Variability and Irrigation Pressure in the Upper Guadiana Basin (Central Spain), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2301, https://doi.org/10.5194/egusphere-egu26-2301, 2026.

EGU26-3973 | Posters on site | HS8.2.13

Traditional Irrigation in the Po Plain: Inefficient Practice or Key Contributor to Groundwater Recharge?  

Olfa Gharsallah, Sara Cazzaniga, Enrico Antonio Chiaradia, Michele Eugenio D'Amico, Michele Rienzner, and Claudio Gandolfi

Traditional surface irrigation remains the most widespread practice in the Po Plain, supporting one of Italy’s most productive agricultural regions. The system relies on large river withdrawals that are distributed through an extensive network of unlined, often centuries-old canals supplying agricultural fields. Although frequently criticized for inefficiency, surface irrigation generates hydrological effects that extend well beyond direct crop water supply. Indeed, percolation from irrigated soils and seepage from open channels contribute substantially to groundwater recharge, thereby moderating seasonal fluctuations in surface water availability and alleviating drought stress.

Despite its hydrological relevance, irrigation-induced groundwater recharge in the Po Plain remains poorly quantified. The region exhibits a highly complex hydrological system, dominated by strong surface water–groundwater interactions, while detailed data on irrigation practices, water deliveries, land use information and dynamic shallow water table fluctuations are limited. Robust estimates of the contribution of traditional irrigation to aquifer replenishment are therefore essential for sustainable water resources management, particularly in case of relevant climatic variability.

Within the MidAS-Po project, a comprehensive methodological framework was developed to quantify groundwater recharge across the entire Po Plain, accounting for contributions from both percolation from irrigated fields and seepage from unlined irrigation channels. The approach integrates two components. First, the distributed agro-hydrological model IdrAgra was applied to simulate the daily soil water balance and estimate percolation from agricultural soils. Second, recharge associated with canal seepage was assessed using a simplified methodology based on the estimation of the channel distribution efficiency.

The results indicate that recharge of aquifers induced by traditional surface irrigation accounts for between 50% and 65% of total recharge. The lower percentage is obtained when considering the role of the saturated soil zone in limiting percolation flows, and allowing root uptake from the capillary fringe in those areas of the Po Plain, where the aquifer is shallow; the higher percentage reflects the results of a simulation in which free drainage conditions were assumed at the base of the rooted soil volume. Given the considerable limitations in the knowledge of the spatial distribution of the phreatic aquifer depth, it is currently impossible to say which of the two estimates is more accurate.

These findings challenge conventional views on traditional irrigation efficiency, highlighting that water “losses” from irrigated fields and open channels are not merely waste but represent an important source of aquifer recharge. Further refinements are needed to improve these estimates. In particular, shallow water table depth data are currently not sufficiently accurate in terms of spatial resolution and are inadequate for capturing the seasonal and inter-annual fluctuations. Enhanced data on shallow water table depth would strengthen the model performance, improving estimates of crop irrigation requirements and of groundwater recharge.

How to cite: Gharsallah, O., Cazzaniga, S., Chiaradia, E. A., D'Amico, M. E., Rienzner, M., and Gandolfi, C.: Traditional Irrigation in the Po Plain: Inefficient Practice or Key Contributor to Groundwater Recharge? , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3973, https://doi.org/10.5194/egusphere-egu26-3973, 2026.

Groundwater recharge in semi-arid hard-rock areas mainly relies on surface water bodies like tanks and small reservoirs. These are key sources of recharge in regions that typically have low recharge rates. In many basins, only a few water bodies provide a significant portion of the total groundwater recharge. However, their actual effectiveness is often measured using surface indicators, such as storage capacity or area, without thoroughly examining how recharge moves through the subsurface. This study aims to fill this gap by assessing recharge efficiency through the identification of the recharge zone of influence (RZOI). The study took place in a 60 km² macro-watershed in a semi-arid area, which includes 14 significant water bodies that together account for nearly 60% of the total groundwater recharge. Understanding how recharge from these water bodies spreads within the aquifer is crucial because of their important role. A three-dimensional groundwater flow model was created using FEFLOW to simulate how the aquifer responds to recharge from the water bodies. The RZOI was defined as the subsurface volume calculated from the difference between groundwater head contours simulated with and without the influence of the water body recharge. Recharge efficiency was calculated as the ratio of the water volume in a water body to the corresponding RZOI volume. The findings reveal considerable differences in both RZOI extent and recharge efficiency throughout the study area. The largest water body, covering about 0.9 km², had a relatively large zone of influence extending over more than 2.5 km². Yet, its recharge efficiency was low, around 17–18%, mainly due to poor infiltration conditions. In contrast, a smaller water body showed the highest recharge efficiency, approximately 38–39%, due to a high infiltration capacity in the vadose zone, around 5–6 mm h⁻¹. Overall, the results suggest that recharge efficiency is mainly influenced by the infiltration capacity and hydraulic conductivity of the vadose zone, with the effect of surface area being relatively minor. The study emphasizes that larger water bodies do not always result in higher recharge efficiency and stresses the importance of assessing aquifers when planning and prioritizing recharge structures in semi-arid hard-rock regions.

How to cite: Narayanamurthi, V.: Recharge zone of influence–based evaluation of groundwater recharge efficiency in a semi-arid hard-rock region, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4410, https://doi.org/10.5194/egusphere-egu26-4410, 2026.

EGU26-5263 | ECS | Orals | HS8.2.13

Groundwater recharge estimation using surface modeling and validation with stable water isotopes 

Chaymae El Habbazi, André Chanzy, Anne-Laure Cognard-Plancq, Marina Gillon, Vincent Marc, and Milanka Babic

Accurate estimation of groundwater recharge is of paramount importance to guarantee sustainable groundwater management. However, quantifying recharge in aquifers is a challenge, particularly in irrigated agricultural environments. Indeed, recharge processes are deeply impacted by surface inputs, vegetation dynamics, and vadose zone processes whose effects on both the magnitude and timing of recharge are further influenced by heterogeneous land use and irrigation practices. To handle these complexities, it is highly recommended to adopt sound approaches to minimize uncertainties in recharge estimation.

This study tackles this challenge through the estimation of groundwater recharge in the Crau aquifer in southeastern France. The area is intensively irrigated, and the aquifer is recharged by both precipitation and irrigation water from the Durance River. Groundwater recharge was estimated using a spatially distributed soil water balance model combining three models according to land use. An empirical model was used for bare or sparsely vegetated soils. This model is based on observations measured by a flux tower located on a steppic land representative of the area. For irrigated woody crops and gardening, the recharge was computed using a Kc model that calculates evapotranspiration from the reference ET0 using a Kc crop coefficient. For field crop and irrigated grassland, the STICS crop model was used to depict seasonal variations in the water balance and the impact of agricultural practices on recharge. Implementing such a comprehensive groundwater model requires documenting the parameters of every spatial entity (>100000) by using soil, meteorological land use maps and an assessment of agronomic practices.

The surface model outputs were then validated using a stable isotope mass balance based on measurements of oxygen (δ¹⁸O) and hydrogen (δ²H) isotopes in groundwater, precipitation, and irrigation water. The strong contrast between the isotopic signatures of precipitation and irrigation water is interesting to delineate the different water flows between the surface and the groundwater. By combining surface modeling with isotope-based validation, this approach provides an independent means of validating the modeled recharge components in a context where recharge estimation is highly uncertain and contributes to better groundwater management under increasing climatic and anthropogenic pressures.

How to cite: El Habbazi, C., Chanzy, A., Cognard-Plancq, A.-L., Gillon, M., Marc, V., and Babic, M.: Groundwater recharge estimation using surface modeling and validation with stable water isotopes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5263, https://doi.org/10.5194/egusphere-egu26-5263, 2026.

EGU26-7848 | ECS | Posters on site | HS8.2.13

From rain to recharge: insights into field scale soil moisture and water flux dynamics at the Potsdam Soil Moisture Observatory (PoSMO) 

Lena Scheiffele, Matthias Munz, Till Francke, Maik Heistermann, and Sascha E. Oswald

Brandenburg is one of the driest regions in Germany and is highly dependent on groundwater resources for both drinking water supply and the growing demand for irrigated agriculture. Groundwater levels across the state are declining, and climate change is expected to further exacerbate this trend. The groundwater recharge rate (GWR) is a key parameter for the sustainable management of groundwater resources. However, its quantification it remains challenging, as it cannot be measured directly at spatial scales relevant for hydrological units in a landscape context.

In this study, we use daily data from several cosmic-ray neutron sensors (CRNS), which provide non-invasive measurements of soil moisture in the near-surface root zone at the hectare scale, to calibrate the soil hydrological model HYDRUS-1D. This calibration yields scale-effective soil hydraulic parameters and allows us to derive the downward water flux below the root zone as an approximation of GWR at the field scale.

The analysis is based on a unique six-year data set from the Potsdam Soil Moisture Observatory (PoSMO), a densely instrumented cluster located at and around an agricultural research site. The approximately 10-hectare area comprises multiple agricultural plots and extends along a gentle slope towards a lake. It is situated above a Pleistocene unconfined aquifer, with a groundwater table depth of 1 to 10 meters. At the heart of the instrumentation are eight continuously operated CRNS in combination with more than 25 point-scale soil moisture profiles measuring at depths of up to 1 m. A variety of additional measurements, including soil texture, hydraulic properties, continuous soil moisture measurements at depth, and groundwater level monitoring, provide a solid basis for validating the model and recording the relevant hydrological processes at the site.

In various simulation experiments, we evaluate the added value of using different soil moisture products for model calibration. To analyze long-term trends and fluctuations in GWR, we drive the calibrated model with historical weather data from over 50 years. We investigate changes in GWR under different climatic conditions and discuss the associated uncertainties, particularly in relation to the site's scarce water balance.

How to cite: Scheiffele, L., Munz, M., Francke, T., Heistermann, M., and Oswald, S. E.: From rain to recharge: insights into field scale soil moisture and water flux dynamics at the Potsdam Soil Moisture Observatory (PoSMO), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7848, https://doi.org/10.5194/egusphere-egu26-7848, 2026.

EGU26-9330 | Posters on site | HS8.2.13

Groundwater recharge assessment in a data-scarce semi-arid volcanic island using evapotranspiration-constrained process-based modelling  

Rodrigo Sariago, Carlos Baquedano, Alejandro Sánchez-Gómez, Jon Jimenez, Jorge Martínez-León, Almudena de la Losa Roman, Juan Carlos Santamarta, and Alejandro García-Gil
Groundwater recharge estimation in semi-arid volcanic islands is critical to water-management; however, it is often hindered by sparse monitoring networks and the lack of observed records suitable for conventional calibration. Within the GENESIS project, this study presents a transferable workflow to quantify groundwater recharge in data-scarce island settings by combining field-based infiltration information with satellite-derived actual evapotranspiration (AET) constraints to refine the catchment water balance. The workflow is demonstrated on El Hierro (Canary Islands, Spain), a small oceanic volcanic island characterized by steep relief, sharp climatic gradients, heterogeneous land cover, and limited hydrometric infrastructure.
 
Model inputs combine multi-source datasets, including daily observed precipitation and temperature complemented by gridded meteorological variables, and locally soil hydraulic properties derived from infiltration tests to represent effective near-surface hydraulic conductivity at the model support scale. A Sobol global sensitivity analysis is applied to identify the most influential parameters controlling AET and soil–aquifer fluxes, supporting a parsimonious calibration design. Calibration proceeded in two stages, combining soft constraints from previously reported hydrological ratios with a hard calibration against island-mean AET aggregated to island resolution to minimize scale-mismatch artifacts. Groundwater recharge is computed as percolation reaching the shallow aquifer within the Soil and Water Assessment Tool (SWAT), and uncertainty is characterized through post-calibration parameter sampling, reported as ensemble ranges given the absence of independent recharge observations. The workflow is designed to be transferable to other data-scarce basins where stream-based calibration is not feasible, while explicitly documenting key assumptions (e.g., omission of horizontal precipitation due to lack of observations).

 

 

How to cite: Sariago, R., Baquedano, C., Sánchez-Gómez, A., Jimenez, J., Martínez-León, J., de la Losa Roman, A., Santamarta, J. C., and García-Gil, A.: Groundwater recharge assessment in a data-scarce semi-arid volcanic island using evapotranspiration-constrained process-based modelling , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9330, https://doi.org/10.5194/egusphere-egu26-9330, 2026.

EGU26-9767 | ECS | Orals | HS8.2.13

QGIS‑SWAP‑Paddy: a modelling framework to simulate irrigation and aquifer recharge in lowland rice area. First application to the Lomellina rice district (northern Italy) 

Giulio Luca Cristian Gilardi, Michele Rienzner, Darya Tkachenko, Marco Romani, and Arianna Facchi

Rice‑growing regions underlain by shallow aquifers require irrigation strategies that simultaneously satisfy crop water demand, sustain groundwater recharge, and ensure an appropriate response to the increasingly frequent occurrence of water scarcity in many geographical areas. Traditional approaches, typically based on field‑scale experiments or conceptual water‑balance models, struggle to represent the complex interactions among irrigation practices, soil-water-crop processes, and groundwater dynamics at broader spatial scales.

To address this limitation, we developed QGIS‑SWAP‑Paddy, a novel GIS‑integrated modelling framework for simulating lowland agricultural systems across multiple spatial scales. The framework couples a semi-distributed SWAP (https://www.swap.wur.nl/) based agro‑hydrological model with a channel‑network module embedded within the QGIS environment. Simulations are driven by thematic maps and information stored in a GeoPackage database, including soil data, land use, irrigation management, groundwater depth, and agro‑meteorological conditions. This architecture enables the systematic integration of diverse inputs — maps, time series, field measurements, parameter estimates for soil hydraulic properties, crop development, and alternative irrigation management — into a coherent modelling workflow.

The framework has been applied to the Lomellina region in northern Italy, located in the largest rice‑growing district in Europe. After calibration and validation, initial applications of QGIS-SWAP-Paddy highlight its capacity to support scenario analyses for contrasting irrigation strategies, including wet seeding with continuous flooding, dry seeding with delayed flooding, and Alternate Wetting and Drying (AWD). The system is designed to be integrated with external models — most notably MODFLOW (https://www.usgs.gov/software/modflow-6-usgs-modular-hydrologic-model) — to simulate groundwater flow and quantify the impacts of irrigation management on aquifer dynamics. This coupling, currently being developed within the PROMEDRICE project (https://promedrice.org/; PRIMA-Section2-2022), will enable comprehensive assessments of water‑reuse mechanisms and groundwater sustainability in rice‑based irrigation systems.

QGIS‑SWAP‑Paddy produces both aggregated outputs (e.g., time series of irrigation requirements and deep percolation at domain or sub‑domain scale) and spatially explicit outputs such as maps of first‑aquifer recharge, representing a powerful tool for scientific research and operational decision‑support in lowland irrigated agricultural areas.

How to cite: Gilardi, G. L. C., Rienzner, M., Tkachenko, D., Romani, M., and Facchi, A.: QGIS‑SWAP‑Paddy: a modelling framework to simulate irrigation and aquifer recharge in lowland rice area. First application to the Lomellina rice district (northern Italy), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9767, https://doi.org/10.5194/egusphere-egu26-9767, 2026.

EGU26-11015 | ECS | Posters on site | HS8.2.13

Quantifying Irrigation Water Use and Groundwater Dynamics using Earth Observation Data in Combination with Hydrological Modeling 

Jana Brettin, Kai Schröter, and Gerhard Riedel
Irrigation has a significant influence on hydrological and groundwater dynamics through altered evapotranspiration, water abstraction, and return flows.    However, irrigation is often insufficiently represented in hydrological and groundwater models due to limited information on the spatial and temporal variability of irrigation water use. This gap limits the reliable assessment of sustainable groundwater management, particularly in intensively farmed regions.
 

This research proposes a framework that combines satellite-based actual evapotranspiration (ETa) estimates with coupled process-based hydrological and groundwater modeling to quantify irrigation water use and its influence on the landscape water balance in Lower Saxony, Germany. Spatially distributed ETa is derived from the Landsat Provisional ETa Science Product and compared with simulated evapotranspiration from a semi-distributed hydrological model based on natural conditions without irrigation. Net irrigation is estimated as the difference between satellite-based ETa and simulated non-irrigated ETa. The groundwater model is subsequently used to simulate spatial and temporal changes in groundwater levels resulting from irrigation-related withdrawals, and groundwater recharge provided by the hydrological model.

By linking satellite-based evapotranspiration with hydrological and groundwater modeling, the proposed framework provides a method to quantify spatially and temporally varying irrigation water use and to assess its effects on groundwater levels at the landscape scale. While demonstrated for Lower Saxony, Germany, the framework is transferable to other regions where satellite-based evapotranspiration data and hydrological/hydrogeological information are available. It can be applied to analyse irrigation impacts on groundwater systems and to support assessments of groundwater sustainability under increasing agricultural water use and climate variability.

How to cite: Brettin, J., Schröter, K., and Riedel, G.: Quantifying Irrigation Water Use and Groundwater Dynamics using Earth Observation Data in Combination with Hydrological Modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11015, https://doi.org/10.5194/egusphere-egu26-11015, 2026.

EGU26-11189 | Orals | HS8.2.13

Seasonality in groundwater recharge - Observational evaluation of Earth System model realism 

Margaret Shanafield, Thorsten Wagener, Sabine Undorf, and Andy Baker

Despite many efforts to estimate both the spatial and temporal dynamics of groundwater recharge, and to predict how these will be altered by climate change, this crucial part of the water balance remains highly uncertain. Meanwhile, many shallow aquifers are experiencing alarming water level declines due to a combination of high anthropogenic withdrawals and altered precipitation patterns. This work combines recent and long-term datasets from locations throughout the continent of Australia to re-examine how shallow recharge dynamics vary across a diversity of climate types. Available data from a drip logger network demonstrate the interannual variability in rainfall recharge thresholds, with seasonality in the number of recharge events and the rainfall recharge threshold. Historical records of rainfall are then examined to understand the historical return interval of these rainfall volumes, both annually and seasonally. Finally, we examine our results against corresponding data in the historical model runs from the Coupled Model Intercomparison Project (CMIP), to evaluate the realism of the models. The results of this combined methodology provide a more nuanced approach to evaluating the resilience of groundwater supplies in a changing climate.    

How to cite: Shanafield, M., Wagener, T., Undorf, S., and Baker, A.: Seasonality in groundwater recharge - Observational evaluation of Earth System model realism, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11189, https://doi.org/10.5194/egusphere-egu26-11189, 2026.

EGU26-13724 | Posters on site | HS8.2.13

Improving punctual groundwater recharge estimate modeling by including stable water isotopes 

Juan Carlos Richard-Cerda, Isabelle Schmidt, Paul Koeniger, Brindha Karthikeyan, Michael Schneider, and Stephan Schulz

Groundwater recharge (GWR) is a key parameter for sustainable groundwater management and for predicting future groundwater availability. Its importance is increasing as global environmental and anthropogenic pressures intensify stress on groundwater resources. This study aims to improve point-scale estimates of GWR by constraining unsaturated-zone models at three sites that differ in vegetation and soil cover. Model optimization was performed using volumetric water content (θ) alone and θ in combination with soil water stable isotopes (δ18O and δ2H).

The newly implemented isotope module in HYDRUS-1D, which accounts for isotope fractionation, was successfully applied under semi-arid conditions. Strong monsoon dynamics caused large temporal variations in observed θ, which were challenging for the model to reproduce accurately, whereas vertical profiles of isotope concentrations were simulated more precisely. Estimated recharge rates over a 236-day period ranged from <1 cm to 31 cm for models optimized with θ and isotopes, and from <1 cm to 15 cm for models optimized with θ alone. Despite similar soil classes and short spatial distances, GWR exhibited pronounced heterogeneity across the study area in Tamil Nadu, South India. These findings highlight the use of multiple data types for model calibration, with isotope data providing additional constraints on the simulated recharge rates.

How to cite: Richard-Cerda, J. C., Schmidt, I., Koeniger, P., Karthikeyan, B., Schneider, M., and Schulz, S.: Improving punctual groundwater recharge estimate modeling by including stable water isotopes, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13724, https://doi.org/10.5194/egusphere-egu26-13724, 2026.

EGU26-14114 | Orals | HS8.2.13 | Highlight

From minutes to millennia, from plots to planet: A spatiotemporal view on groundwater recharge 

Stephan Schulz, Selina Hillmann, Edinsson Muñoz-Vega, José Zolezzi-López, Juan Carlos Richard-Cerda, Isabelle Schmidt, and Hyekyeng Jung

Groundwater recharge is a key yet highly uncertain component of the hydrological cycle and is characterized by pronounced variability across temporal and spatial scales. Recharge processes are commonly represented using long-term averages and spatially aggregated concepts, by which the episodic, heterogeneous, and scale-dependent nature of recharge is often obscured. In this presentation, a multiscale perspective on groundwater recharge is presented, covering field observations, regional analyses, and global modeling approaches to illustrate how recharge occurs on timescales ranging from minutes to millennia and from local plots to the planetary scale.

The temporal dimension of recharge is illustrated using examples from arid environments, with a focus on Saudi Arabia. Under current climatic conditions, diffuse groundwater recharge in these regions is typically very low. However, rapid and focused recharge can be generated within minutes during intense rainfall events in areas with exposed karst features, where surface runoff is efficiently channeled into the subsurface. But there are also important processes related to groundwater recharge on much longer timescales. In many arid regions, fossil groundwater is a vital resource that was replenished under past climatic conditions. These paleo-groundwater recharge events represent hydraulic impulses that continue to influence today's groundwater levels and flow patterns, resulting in non-stationary groundwater systems.

The spatial variability of groundwater recharge is examined at local and global scales. Based on exemplary case studies from South Asia, recharge is found to be highly heterogeneous and is controlled by climatic gradients, geological conditions, and intensive human water use, including irrigation return flows. At the global level, groundwater recharge is estimated using neurol networks with eXplainable AI, identifying the dominant factors for groundwater recharge for different climate zones and showing that the control and sensitivity of predictors for groundwater recharge are highly region-specific.

Building on these temporal and spatial perspectives, the implications of groundwater recharge for water quality are highlighted. Using the Hessian Ried (Germany) as an example, a control of recharge rates and residence times in the unsaturated zone on reactive solute transport to groundwater is demonstrated, thereby directly linking recharge dynamics to groundwater quality.

Overall, groundwater recharge is shown to be inherently multiscale and dependent on specific environmental conditions, with important implications for the selection of recharge estimation methods, the temporal and spatial aggregation of groundwater models, and sustainable groundwater management under changing climatic and land-use conditions.

How to cite: Schulz, S., Hillmann, S., Muñoz-Vega, E., Zolezzi-López, J., Richard-Cerda, J. C., Schmidt, I., and Jung, H.: From minutes to millennia, from plots to planet: A spatiotemporal view on groundwater recharge, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14114, https://doi.org/10.5194/egusphere-egu26-14114, 2026.

EGU26-14358 | Posters on site | HS8.2.13

A Groundwater Recharge Model for the Zagreb Aquifer System (Croatia): Current Status and Proposed Enhancements 

Ozren Larva, Željka Brkić, and Rahela Šanjek

Groundwater of the Zagreb alluvial aquifer in northwestern Croatia represents an extremely important natural resource that supplies drinking and industrial water to the City of Zagreb and its surrounding area. The aquifer system consists of Quaternary sediments, within which an alluvial aquifer of intergranular porosity has developed. The thickness of the aquifer varies from approximately 10 m in the western part of the area to up to 100 m within the eastern structural depression. Hydraulic conductivity is very high and, based on pumping test results, reaches values of up to 3600 m/day in the vicinity of the Sava River. The aquifer is unconfined and is recharged through both infiltration of precipitation and leakage from the Sava River riverbed. Previous studies have estimated groundwater recharge using groundwater balance calculations, which were subsequently verified by a numerical groundwater flow model. For the purposes of numerical modelling, the alluvial aquifer area was divided into three polygons with different groundwater recharge values: (i) areas with a thin or absent semipermeable covering layer at the top of the aquifer, (ii) marginal aquifer areas to the north and south, composed predominantly of fine-grained deposits, and (iii) urban areas. Although the calibration results of the model are decent and the obtained recharge values appear realistic, there is still a need for more accurate and detailed determination of groundwater recharge in both spatial and temporal domains, with respect to both leakage from the Sava River and precipitation percolation. To address these limitations, extensive investigations are planned within the framework of the bilateral Croatian–Slovenian project GWQualityPath2070 (HRZZ: IPS-2024-02-5367). The research program comprises the analysis of the isotopic composition of groundwater, river water, and precipitation, the investigation of surface water and groundwater dynamics, and the integration of the SWAT semi-distributed hydrological model with a numerical groundwater flow model. Expected results of the research activities, in general—and in particular those related to the groundwater recharge model—will provide a solid basis for further research, primarily focused on analyses of climate change impacts on the quantitative status of groundwater, as well as the effects of different agricultural practices and land use on groundwater quality.

How to cite: Larva, O., Brkić, Ž., and Šanjek, R.: A Groundwater Recharge Model for the Zagreb Aquifer System (Croatia): Current Status and Proposed Enhancements, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14358, https://doi.org/10.5194/egusphere-egu26-14358, 2026.

EGU26-17207 | ECS | Posters on site | HS8.2.13

Assessing the Ag-MAR potential in a rice-dominated alluvial plain in Northern Italy by combining MODFLOW-6 and QGIS-SWAP-Paddy 

Petra Baják, Giulio Gilardi, Daniele Pedretti, Arianna Facchi, Marco Masetti, Lorenzo Sangalli, Alessandro Sorichetta, Darya Tkachenko, and Michael Valtorta

Agricultural Managed Aquifer Recharge (Ag-MAR) has emerged as a sustainable water management technique that utilizes farmland, particularly during fallow periods, to intentionally flood fields and replenish underground aquifers, thereby storing water for future use. Quantifying the benefits of Ag-MAR and evaluating its cost-effectiveness remains challenging due to strong nonlinear interactions between surface–subsurface processes, which generally require numerical modeling approaches that are still poorly established for Ag-MAR systems. 

This study presents the initial development of a numerical modeling framework to evaluate the effectiveness of different Ag-MAR practices in the Lomellina area (1,250 km2) in Northern Italy, Europe’s largest rice-producing district. In this region, excess surface water is typically available during the winter months (November–February). Although winter flooding of rice fields has been promoted in recent years by the EU Rural Development Programme (CAP) for agronomic and environmental purposes, its hydrological benefits remain largely unquantified. Ag-MAR in the region may occur through deliberate field flooding or infiltration from irrigation canals, yet the relative importance of these pathways and their long-term impacts on groundwater resources are still unknown. 

The proposed framework couples (a) recharge rates calculated using QGIS-SWAP-Paddy, a semi-distributed version of the SWAP model (https://www.swap.alterra.nl/), implementing also the irrigation/drainage network, and (b) groundwater flow rates calculated using the MODFLOW-6 model (https://www.usgs.gov/software/modflow-6-usgs-modular-hydrologic-model). QGIS-SWAP-Paddy provides transient net percolation rates from agricultural fields and the irrigation canal network, accounting for land-use, soil variability, and irrigation practices throughout the year. MODFLOW-6 uses QGIS-SWAP-Paddy’s percolation rates to simulate seasonal and interannual groundwater dynamics across the domain, including interactions with major rivers (Po, Ticino, and Sesia) and minor surface water bodies. 

Due to the characteristics of the hydrogeological system, namely, the flooding of vast rice-growing areas and the presence of very shallow groundwater levels, recharge in QGIS-SWAP-Paddy depends on groundwater levels, while the groundwater level simulated by MODFLOW-6 depends on percolation rates estimated in QGIS-SWAP-Paddy. 

Currently, the two models have been calibrated independently. QGIS-SWAP-Paddy has been calibrated using irrigation discharge data and a reference groundwater level map, interpolated using geostatistical methods, as the lower boundary condition. Conversely, the groundwater flow model, using the recharge rates produced by the QGIS-SWAP-Paddy model as input, was calibrated against observed groundwater levels in various wells from 2018–2020, successfully reproducing observed seasonal fluctuations. 

The next step is to develop a code that allows the two models to be explicitly coupled monthly to improve the estimation of both percolation rates and the groundwater balance. If necessary, the calibration and validation of the integrated model will therefore be repeated, considering the irrigation discharges delivered to the district and the groundwater levels observed during the period 2018–2020. Once this step has been completed, the model will be ready to simulate Ag-MAR scenarios. 

This study was carried out in the context of the PROMEDRICE project (https://promedrice.org/; PRIMA-Section2–2022) funded, for the Italian partners, by MUR (Italian Ministry of University and Research). 

How to cite: Baják, P., Gilardi, G., Pedretti, D., Facchi, A., Masetti, M., Sangalli, L., Sorichetta, A., Tkachenko, D., and Valtorta, M.: Assessing the Ag-MAR potential in a rice-dominated alluvial plain in Northern Italy by combining MODFLOW-6 and QGIS-SWAP-Paddy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17207, https://doi.org/10.5194/egusphere-egu26-17207, 2026.

EGU26-17813 | ECS | Orals | HS8.2.13

Quantifying irrigation-driven groundwater recharge through coupled agro-hydrological and groundwater modelling: an Ag-MAR case study from the MAURICE project 

Rachele Eliana Riva, Paolo Colombo, Enrico Weber, Veronica Piuri, and Claudio Gandolfi

Groundwater recharge estimation remains a key challenge for the design of sustainable irrigation systems operating within complex territorial areas and ecosystem constraints, particularly under climate change, which alters water availability, precipitation regimes, and agro-hydrological dynamics. This study presents a coupled agro-hydrological and groundwater modelling framework specifically developed to quantify irrigation-driven recharge and to assess managed aquifer recharge adaptation measures under climate change scenarios. The framework integrates the agro-hydrological model IdrAgra with the numerical groundwater flow model MODFLOW and is applied to a highly urbanized region near Milan (representing the Italian pilot area of the MAURICE Interreg project - CE0100184). In this area, irrigation contributes to groundwater recharge at magnitudes comparable to or exceeding those of precipitation, as the most spread irrigation methods are surface and flood. Within this pilot action, winter irrigation was tested during two seasons (2023–2024 and 2024–2025) as an agricultural managed aquifer recharge (Ag-MAR) strategy, with the objective of evaluating its feasibility and effectiveness in enhancing groundwater availability during drought periods.

Detailed data on irrigation management, irrigation timing and daily channel discharges were collected both in winter and during the agricultural season and were then used to simulate the daily soil water balance in the vadose zone with the IdrAgra model. The resulting spatially and temporally distributed percolation fluxes were used as recharge inputs for the MODFLOW model, allowing the quantification of groundwater storage variations induced by the adaptation strategy. Both models were implemented on a common 100 m resolution grid covering approximately 326 km².

The project domain includes areas characterized by three distinct water management regimes: (i) non-irrigated areas, where groundwater recharge is driven exclusively by precipitation; (ii) areas managed by the Est Ticino Villoresi Irrigation Consortium, where structured irrigation networks and monitoring data allow irrigation-driven recharge to be quantified at the irrigation sub-district scale; and (iii) areas managed by individual users, where operational data are limited. IdrAgra was applied consistently across the entire domain, ensuring a coherent representation of crop growth, irrigation practices, soil water balance, and resulting groundwater recharge despite heterogeneous data availability.

The modelling framework was used to (i) quantify the effect of winter irrigation on groundwater recharge during the two experimental seasons, and (ii) evaluate it based on three different regional climate model projections (over the period 2026–2050), combined with alternative spatial distributions of winter irrigation.

Experimental results highlight that the percolation fluxes from the winter irrigated fields are relevant and model simulations show that extending this Ag-MAR strategy to sufficiently large areas a significant contribution to groundwater recharge is obtained. This study demonstrates the effectiveness of coupling agro-hydrological and groundwater models to represent irrigation-induced recharge processes, providing robust decision-support tools for the design and evaluation of Ag-MAR strategies under current and future climate conditions.

How to cite: Riva, R. E., Colombo, P., Weber, E., Piuri, V., and Gandolfi, C.: Quantifying irrigation-driven groundwater recharge through coupled agro-hydrological and groundwater modelling: an Ag-MAR case study from the MAURICE project, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17813, https://doi.org/10.5194/egusphere-egu26-17813, 2026.

EGU26-19730 | ECS | Posters on site | HS8.2.13

Earth Observation-based Irrigation Dynamics to enhance Integrated Surface–Subsurface Hydrological Models 

Sofia Ortenzi, Beatrice Gatto, Christian Massari, Marta Chiesi, Marco Moriondo, Luca Fibbi, and Matteo Camporese

Sustainable groundwater management in irrigated agricultural regions demands accurate quantification of human-induced water fluxes. In the high Venetian plain (Northeast Italy), irrigation represents both a crucial agricultural input and a significant source of aquifer recharge. However, growing efforts to enhance irrigation efficiency for river ecosystem preservation may inadvertently reduce groundwater replenishment. This study addresses the pressing need to enhance integrated surface–subsurface hydrological models (ISSHMs) by improving the representation of irrigation practices and crop water use.

Our approach integrates detailed spatio-temporally variable irrigation water (IW) flux estimates into the CATHY (CATchment HYdrology) model, constrained by Earth Observation (EO) data. Specifically, the IW fluxes are obtained through a water balance approach that combines daily meteorological and NDVI data at 250-m spatial resolution. They are then used for model forcing, whereas model verification is carried out through comparison with different soil moisture remote sensing products. The aim of this study is to reduce uncertainty in water balance components and better simulate surface–groundwater interactions in agriculturally intensive landscapes.

We demonstrate that the integration of EO-driven irrigation estimates into ISSHMs provides a robust framework for evaluating the trade-offs between irrigation efficiency and aquifer recharge. The resulting models can provide critical insights into water use dynamics under varying regulatory and climatic scenarios, thus supporting more informed water governance strategies across multiple sectors.

How to cite: Ortenzi, S., Gatto, B., Massari, C., Chiesi, M., Moriondo, M., Fibbi, L., and Camporese, M.: Earth Observation-based Irrigation Dynamics to enhance Integrated Surface–Subsurface Hydrological Models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19730, https://doi.org/10.5194/egusphere-egu26-19730, 2026.

Groundwater recharge is a major challenge for the sustainable management of water resources, particularly in territories facing increasing water stress linked to climate change and anthropogenic pressures. Nature-Based Solutions (NbS), particularly Nature Water Retention Measures (NWRM), represent a promising approach to enhance natural infiltration processes, with potential benefits for groundwater quality and the territorial resilience.

This study is part of an exploratory approach aimed at analyzing the potential of NbS to promote groundwater recharge at the scale of a rural watershed, located in southern France and characterized by a Mediterranean climate with recharge predominantly driven by precipitation. The objective is to identify suitable areas for the future implementation of NbS and to assess their effects on groundwater recharge and water quality.

The methodology is founded on a scenario-based hydrological modeling approach at the watershed scale, using the SWAT+ model and relying on the integration of spatial data, including topography, soil properties, vegetal cover type, land use. The watershed is discretized into homogeneous hydrological response units (HRUs) in order to coherently represent the main characteristics and associated hydrological processes. Climatic data are then integrated into the model to represent the meteorological conditions required for hydrological simulations. The model is first calibrated using in situ measured discharge data. Sensitivity analyses will allow to identify the parameters that most strongly influence the hydrological functioning of the watershed.

In a second phase, nature-based land management scenarios focusing on NWRM will be simulated, including in particular the implementation of hedgerows and ditches, as well as infiltration basins, in order to assess their potential to improve groundwater recharge compared to a reference situation.

How to cite: Soukrate, I., Le Gal La Salle, C., Ducros, L., and Khaska, S.: Assessing Nature-Based Infiltration Solutions through hydrological modelling to identify suitable areas for groundwater recharge and potential water quality benefits, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19897, https://doi.org/10.5194/egusphere-egu26-19897, 2026.

EGU26-21149 | ECS | Orals | HS8.2.13

Integrating SWAT+ hydrological modelling and remote sensing analysis to estimate surface water balance and groundwater recharge in the High Atlas of Marrakech and the Haouz plain (Morocco) 

Abderrahman El Farchouni, Abdessamad Hadri, Giulio Castelli, Younes Fakir, Elena Bresci, Mohamed Ouarani, and Azzouz Kchikach

Groundwater resources are becoming increasingly vulnerable to human activities and climate change due to high water demand, intensive abstraction, and increased evapotranspiration associated with changes in precipitation amounts and patterns. In semi-arid mountain watersheds, groundwater recharge estimation is affected by substantial uncertainty due to the complexity of hydrological processes and the limitations of individual methods. Process-based models, satellite-derived water balance approaches, and groundwater-level analyses capture different components and scales of recharge, and no single method can fully represent recharge dynamics. To address this, this study applies an integrated framework combining SWAT+ hydrological modelling, remotely sensed water balance components, and the Water Table Fluctuation (WTF) method in the Ourika watershed, originating in the High Atlas of Marrakech and draining into the Haouz plain (Morocco). The dominant land use types of the watershed are grasslands and bare lands. The inputs of the SWAT+ model were prepared using the SRTM 30m digital elevation model (DEM). The improved maps of land use land cover from (ESA CCI LC) products were used to test different scenarios and their impact on the water balance. The soil characteristics are determined from FAO soil maps and the Harmonized World Soil Database and hydraulic characteristics are determined using the SPAW model. Daily rainfall is measured at gauge stations, and the meteorological variables such as daily wind speed, relative humidity, solar radiation, and temperature are collected within the watershed. The model was calibrated using daily stream flow data using Sequential Uncertainty Fitting (SUFI-2), which is one of the programs incorporated into R-SWAT interface. The annual recharge, calculated through the physically-based SWAT+ model, was compared to the estimated one using a remote sensing-based water balance approach. For this latter one, the water balance elements were calculated using satellite-derived datasets from GPM (precipitation), SEBAL (actual evapotranspiration), SMAP (soil moisture storage change), and NRCS-CN (runoff). This method provides spatially distributed estimates of recharge and enables direct comparison with SWAT+ outputs. In addition, the Water Table Fluctuation (WTF) method derived from piezometric time series was used as an independent field-based evaluation of recharge dynamics. The integration of both modeling and remote sensing approaches enhances the understanding of recharge dynamics in semi-arid environments and supports the development of sustainable groundwater management strategies in the Ourika watershed.

 

How to cite: El Farchouni, A., Hadri, A., Castelli, G., Fakir, Y., Bresci, E., Ouarani, M., and Kchikach, A.: Integrating SWAT+ hydrological modelling and remote sensing analysis to estimate surface water balance and groundwater recharge in the High Atlas of Marrakech and the Haouz plain (Morocco), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21149, https://doi.org/10.5194/egusphere-egu26-21149, 2026.

EGU26-807 | ECS | Posters on site | GM2.5

Deep-learning classification of cave-floor surface types from LiDAR data for detailed cave mapping 

Michaela Nováková, Jozef Šupinský, and Jozef Širotník

High-resolution 3D mapping of subterranean environments remains challenging due to their complex geometry, low-light conditions, and restricted accessibility. Among these environments, caves represent particularly demanding settings where detailed spatial documentation is essential for monitoring processes, supporting exploration and conservation efforts. Laser scanning has become a key technique for capturing accurate and detailed 3D representations of caves that form the basis for this heritage documentation and multidisciplinary research. Despite these advances, the creation of cave maps still commonly relies on traverse-line measurements and field sketches, later digitized using specialized cave-surveying software. In recent years, LiDAR data have been used for deriving the cave extent. While this method effectively captures the general geometry of cave passages, the delineation of cave-floor units, sediments, speleothems, rock blocks, and other features remains largely manual and relies heavily on the surveyor’s interpretation. As a result, feature boundaries vary between authors, and detailed cave-surface representation lacks reproducibility that is problematic for long-term documentation. In this study, we explore the use of deep-learning semantic segmentation for classifying selected cave-floor surface types based on geometric features derived from LiDAR data. Building on previous work focused on semi-automatic cave-map generation from LiDAR point clouds, we extend the workflow from deriving cave extent and floor morphology toward the automated interpretation of surface materials and forms. The method was tested on several common cave-floor surface types, including clastic sediments, flowstone, and bedrock, as well as artificial surfaces and objects typical in showcaves. The resulting classifications show that deep-learning models can distinguish surfaces with subtle geometric differences and produce consistent, reproducible delineations of units that are traditionally mapped by hand. Compared with manual digitization, the approach reduces subjectivity and provides a scalable way to generate polygonal layers used in speleocartographic workflows.

How to cite: Nováková, M., Šupinský, J., and Širotník, J.: Deep-learning classification of cave-floor surface types from LiDAR data for detailed cave mapping, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-807, https://doi.org/10.5194/egusphere-egu26-807, 2026.

EGU26-1968 | ECS | Posters on site | GM2.5

Comparative Analysis of 30-m DEM Products for Hydrological Applications: A Case Study in the Flinders Catchment Australia 

Laleh Jafari, Ben Jarihani, Jack Koci, Ioan Sanislav, and Stephanie Duce

Digital Elevation Models (DEMs) are fundamental to hydrological modelling, watershed delineation, flood hazard assessment, and resource management. However, the reliability of these applications depends heavily on the vertical accuracy of the DEMs. Although several global DEM products with 30-m spatial resolution are widely available, variations in sensor technology, data acquisition methods, and surface characteristics can significantly influence their accuracy and suitability for hydrological studies. This research provides a comparative evaluation of five commonly used global DEMs—TanDEM-X, ASTER GDEM, SRTM, Copernicus DEM, and ALOS World 3D—by assessing their vertical accuracy against high-resolution airborne LiDAR data and ICESat-2 ATL06 measurements. The findings aim to inform best practices for selecting DEMs in hydrological modelling and catchment-scale applications, particularly in data-scarce regions.

The Flinders River catchment in northern Queensland was selected as the critical test area for evaluating how DEM errors propagate into hydrological calculations. This region is characterised by low rainfall and pronounced topographic variability, encompassing flat lowland plains, dissected upland terrain, and localised areas of steep slopes. All DEMs were standardised to a common horizontal and vertical reference framework and co-registered with the test datasets to eliminate systematic discrepancies. ICESat-2 ATL06 data were rigorously filtered to retain only the highest-quality measurements, based on a combination of quality flags, topographic slope thresholds, and signal strength criteria in vegetated areas.

Elevation differences were computed at matched locations, and DEM performance was evaluated using key statistical metrics, including bias, root mean square error (RMSE), mean absolute error (MAE), median error, and standard deviation. To provide a more comprehensive assessment, error behaviour was analysed in relation to terrain slope and catchment characteristics, highlighting zones most vulnerable to error propagation in flow routing and watershed delineation. Systematic patterns in DEM error were further examined with respect to sensor characteristics under varying landscape conditions.

Results indicate that TanDEM-X and Copernicus DEM exhibit the highest vertical accuracy, closely aligning with ICESat-2 and LiDAR observations, whereas ASTER GDEM and SRTM show larger mean errors, particularly in dissected or mountainous terrain. These findings suggest that TanDEM-X and Copernicus DEM are preferable for hydrology-focused applications in semi-arid basins, while ASTER and SRTM should be used cautiously where precise modelling is required. The study underscores the importance of DEM accuracy evaluation in relation to basin characteristics, as errors can significantly influence hydrological modelling outcomes.

How to cite: Jafari, L., Jarihani, B., Koci, J., Sanislav, I., and Duce, S.: Comparative Analysis of 30-m DEM Products for Hydrological Applications: A Case Study in the Flinders Catchment Australia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1968, https://doi.org/10.5194/egusphere-egu26-1968, 2026.

EGU26-3936 | Posters on site | GM2.5

Historical Images for Surface Topography Reconstruction Intercomparison eXperiment (Historix) 

Amaury Dehecq, Friedrich Knuth, Joaquin Belart, Livia Piermattei, Camillo Ressl, Robert McNabb, and Luc Godin

Historical film-based images, acquired during aerial campaigns since the 1930s and from satellite platforms since the 1960s, provide a unique opportunity to document changes in the Earth’s surface over the 20th century. Yet, these data present significant and specific challenges, including complex distortions in the scanned image and poorly known exterior and/or interior camera orientation. In recent years, semi- or fully-automated approaches based on photogrammetric and computer vision methods have emerged (e.g., Knuth et al., 2023; Dehecq et al., 2020; Ghuffar et al., 2022), but their performance and limitations have not yet been evaluated in a consistent way.

The ongoing “Historical Images for Surface Topography Reconstruction Intercomparison eXperiment (Historix)” project aims at comparing existing methods for processing stereoscopic historical images and harmonizing processing tools.

Within this experiment, participants are provided with a set of historical images and available metadata and invited to return a point cloud and estimated camera parameters. We selected two study sites near Casa Grande, Arizona, and south Iceland, chosen for their  good availability of historical images and variety of terrain types. For each site, we selected 3 sets of film-based images acquired in the 1970s or 80s, overlapping in space and time: aerial images with fiducial marks from publicly available archives and 2 image sets from the American Hexagon (KH-9) reconnaissance satellite missions acquired by the mapping camera (KH-9 MC) and panoramic camera (KH-9 PC). The submitted elevation data will be cross-validated across different image sets and participant submissions, as well as against reference elevation data over stable terrain. The spread in the retrieved elevations will be analysed with respect to image type, terrain type and processing methods to highlight the strengths and limitations of the different approaches.

In this presentation, we will introduce the experiment design, the selected benchmark dataset, the current methodologies and the preliminary results of the intercomparison. Finally, we will present some of the open-source code that exist or are being developed to process historical images.

How to cite: Dehecq, A., Knuth, F., Belart, J., Piermattei, L., Ressl, C., McNabb, R., and Godin, L.: Historical Images for Surface Topography Reconstruction Intercomparison eXperiment (Historix), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3936, https://doi.org/10.5194/egusphere-egu26-3936, 2026.

EGU26-4849 | ECS | Orals | GM2.5

Historical aerial imagery–derived Digital Elevation Models and orthomosaics for glacier change assessment in the western Antarctic Peninsula since 1989 

Vijaya Kumar Thota, Thorsten Seehaus, Friedrich Knuth, Amaury Dehecq, Christian Salewski, David Farías-Barahona, and Matthias H.Braun

The Antarctic Peninsula (AP) is a hotspot of global warming, with pronounced atmospheric warming reported during the 20th century. Although it is critical in terms of climate change studies, the mass balance of glaciers prior to 2000 remains poorly constrained. Existing mass balance estimates are further characterized by high uncertainties due to a lack of observations. In contrast, more than 30000 historical images in archives are the sole direct observations to quantify past glacial changes and their contribution to sea-level rise. 

In this study, we present a unique, timestamped, high-resolution Digital Elevation Model (DEM) and orthomosaic dataset, derived from aerial imagery that covers about 12000 km2 area on the western Antarctic Peninsula and surrounding islands between 66–68° S. We used a film-based aerial image archive from 1989 acquired by the Institut für Angewandte Geodäsie (IfAG), and is kept in the Archive for German Polar Research at the Alfred Wegener Institute, Germany, to generate the historical DEMs and orthoimages. The historical DEMs were co-registered to the Reference Elevation Model of Antarctica (REMA) mosaic on stable terrain. Our historical DEMs have vertical accuracies better than 6 m and 8 m with respect to modern elevation data, REMA, and ICESat-2, respectively. We have made this dataset publicly available at  https://doi.org/10.5281/zenodo.16836526.

Initial mass balance estimates from DEM differencing of our 1989 DEM with recent surfaces from REMA strip DEMs show a near-constant ice mass despite widespread glacier frontal retreat and thinning. We hypothesize that low-elevation ice thickness loss in this period is largely compensated by higher surface mass balance in higher areas. However, this regime appears to be changing, with glaciers transitioning toward increased dynamic activity with enhanced mass loss, and higher ice fluxes.

How to cite: Thota, V. K., Seehaus, T., Knuth, F., Dehecq, A., Salewski, C., Farías-Barahona, D., and H.Braun, M.: Historical aerial imagery–derived Digital Elevation Models and orthomosaics for glacier change assessment in the western Antarctic Peninsula since 1989, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4849, https://doi.org/10.5194/egusphere-egu26-4849, 2026.

Quantifying pebble size, shape, and roundness is fundamental to
understanding sediment transport and abrasion in fluvial systems, yet
remains challenging in natural, densely packed settings.  Most existing
approaches rely on 2D imagery and therefore fail to capture true
three-dimensional morphology. Here, we present a curvature-based instance
segmentation framework for reconstructed surface meshes and demonstrate its
role as a key step enabling 3D roundness and orientation analysis.

In our approach, individual pebbles are detected directly from 3D surface
reconstructions using curvature features, without prior shape assumptions.
Validation against high-resolution reference models yields a high detection
precision of 0.98, with remaining errors mainly due to under-segmentation
in overly smooth reconstructions.  Estimates of 3D pebble orientation are
strongly controlled by the represented surface area, highlighting both the
potential and current limitations of orientation retrieval from incomplete
surface segments.

We illustrate how reliable segmentation allow downstream 3D shape and
roundness analyses that are not accessible in 2D, including curvature-based
surface metrics and volumetric descriptors. Example fluvial scenes
demonstrate that segmentation quality directly controls the stability of
roundness estimates and their geomorphic interpretation. Our results
establish curvature-based 3D pebble segmentation as a methodological
foundation for reproducible analyses of pebble shape, roundness, and
orientation in natural river systems.

How to cite: Rheinwalt, A. and Bookhagen, B.: Curvature-based pebble segmentation as a foundation for 3D roundness and orientation analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5922, https://doi.org/10.5194/egusphere-egu26-5922, 2026.

Currently available global Digital Elevation Model (DEM) surfaces are either derived from the stereoscopic exploitation of multispectral satellite imagery, point-wise laser altimetry measurements or the interferometric processing of bistatic synthetic aperture radar data, but only radar data allows the acquisition of a global product in a reasonable timeframe. The public private partnership of DLR and Airbus in the TanDEM-X mission paved the ground for the WorldDEM product line and its derivatives such as the Copernicus DEM. Both datasets are based on data acquisitions from December 2010 to January 2015, manual and semi-automated DEM editing procedures and represent a very accurate, very consistent and only pole-to-pole DEM data set. The Copernicus DEM is available with a free-and-open licence.

Various ecosystems such as the geosphere, biosphere, cryosphere and anthroposphere are subject to continuous changes which demand the monitoring of Earth’s topography in regular updates of global Digital Elevation Model data. The WorldDEM Neo product represents the successor of the aforementioned WorldDEM but is based on a fully-automated editing & production process and newer data: the on-going TanDEM-X mission is expected to operate until 2028 and has created an archive of up-to-date DEM scenes ready for integration into a new global DEM coverage (>90% of global landmass acquired between 2017 and 2021; ~60% of global landmass acquired again between 2021 and 2025). In conjunction with continuous improvements of the fully-automated production processes, a new global DEM coverage of WorldDEM Neo is produced early 2026. DEM applications such as the orthorectification of raw satellite imagery will benefit from the availability of an accurate and up-to-date global DEM dataset. Other applications such as multi-temporal 3D change analysis based on a single satellite mission (TanDEM-X) are possible and support the understanding of environmental changes thanks to the 3rd dimension. The rapid availability of the error-compensated WorldDEM Neo Digital Surface Model (DSM) and bare-ground Digital Terrain Model (DTM) after raw data acquisition serve various applications of global DEMs. Future acquisitions of the on-going TanDEM-X mission (until 2028) allow the processing of final and up-to-date DSM and DTM coverages at the end of the mission lifetime.

The presentation comprises a short look into the history with its manual & semi-automated DEM editing procedures. The main focus will be on the fully-automated production processes for truly global DSM & DTM coverages. Accuracy metrics, 3D change statistics between the different global coverages but also visual impressions of the various global DEM coverages will be addressed, too. On-going challenges with interferometry-based elevation data are part of an outlook and different error compensation strategies (e.g. height reconstruction from radar amplitude data based on machine-learning techniques) are highlighted.

How to cite: Fahrland, E. and Schrader, H.: Updating and upgrading a global Digital Elevation Model - the fully automated production of WorldDEM Neo with acquisitions until 2025, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6660, https://doi.org/10.5194/egusphere-egu26-6660, 2026.

EGU26-9007 | ECS | Orals | GM2.5

Use of time-lapse photogrammetry to capture substantial accumulation rates on an on-glacier avalanche deposit  

Marin Kneib, Patrick Wagnon, Laurent Arnaud, Louise Balmas, Olivier Laarman, Bruno Jourdain, Amaury Dehecq, Emmanuel Le Meur, Fanny Brun, Andrea Kneib-Walter, Ilaria Santin, Laurane Charrier, Thierry Faug, Giulia Mazzotti, Antoine Rabatel, Delphine Six, and Daniel Farinotti

Avalanches are critical contributors to the mass balance and spatial accumulation patterns of mountain glaciers. While gravitational snow redistribution models predict high localized accumulation, these predictions lack field validation due to the difficulty of monitoring highly dynamic avalanche cones. Here, we present two years of high-resolution monitoring of a large avalanche cone in the accumulation area of Argentière Glacier (French Alps). To capture these dynamics, we employed a multi-sensor approach: Uncrewed Aerial Vehicle (UAV) surveys and a time-lapse photogrammetry array consisting of 7 low-cost cameras deployed ~1 km away from the cone. The distance of the sensors from the surveyed area, its geometry (>30°), its surface characteristics (smooth snow surface) and the absence of fixed stable terrain due to the surrounding headwalls being episodically covered in snow made this environment particularly challenging for the photogrammetry methods applied. Point clouds and Digital Elevations Models were produced at a two-week resolution using Structure-from-Motion photogrammetry in Agisoft Metashape v1.8.3. with the alignment being constrained with Pseudo Ground Control Points. We could further co-register all point clouds to a September UAV acquisition with the Iterative Closest Point algorithm from the open-source project Py4dgeo, using automatically-derived stable ground from the RGB information of the images.

Methodological validation shows that while side-looking time-lapse photogrammetry captures the overall trend, it tends to underestimate elevation changes compared to UAV data, with biases up to 1.8 m and standard deviations of 2–6 m. Winter-time acquisitions with low light conditions over smooth snow surfaces also lead to reduced correlation over the cone. Despite these uncertainties, our results reveal extreme spatial variability in accumulation. The top of the cone is the most active zone, exhibiting elevation changes of ~30 m annually and a strong accumulation of 60 m w.e. between March 2023 and 2025 when accounting for the ice flow—roughly 15 times the annual mass balance recorded by the GLACIOCLIM program in the nearby accumulation area not affected by avalanche deposits. We identify a topographical threshold for snow storage: the upper cone fills early in the season until reaching a critical slope of ~35°, after which subsequent avalanches bypass the apex to deposit mass at the cone’s base. From May onwards, mass redistribution is further modulated by the development of surface channels. Our findings demonstrate that time-lapse photogrammetry is a viable tool for monitoring dynamic glacier surfaces and provide rare empirical evidence of the dominant role avalanches play in glacier mass budgets.

How to cite: Kneib, M., Wagnon, P., Arnaud, L., Balmas, L., Laarman, O., Jourdain, B., Dehecq, A., Le Meur, E., Brun, F., Kneib-Walter, A., Santin, I., Charrier, L., Faug, T., Mazzotti, G., Rabatel, A., Six, D., and Farinotti, D.: Use of time-lapse photogrammetry to capture substantial accumulation rates on an on-glacier avalanche deposit , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9007, https://doi.org/10.5194/egusphere-egu26-9007, 2026.

EGU26-9167 | ECS | Posters on site | GM2.5

Optimizing SfM workflows for continuous river bank monitoring: evaluating image alignment accuracies across diverse environmental conditions 

László Bertalan, Lilla Kovács, Laura Camila Duran Vergara, Dávid Abriha, Robert Krüger, Xabier Blanch Gorriz, and Anette Eltner

River bank erosion represents a dynamic geomorphic hazard, particularly in meandering channels where migration rates threaten critical infrastructure and agricultural land. While our previous work on the Sajó River (Hungary) established a novel, low-cost monitoring framework utilizing Raspberry Pi (RPi) cameras for near-continuous observation, the reliability of photogrammetric reconstruction under uncontrolled outdoor conditions remains a critical challenge. This study presents a systematic evaluation of the accuracy constraints inherent in automated Structure-from-Motion (SfM) processing pipelines, with a specific focus on optimizing image alignment across a wide range of scene conditions.

To determine the robustness of RPi imagery, we conducted a comprehensive sensitivity analysis of the SfM-based image alignment phase. We systematically tested over 120 variations of processing parameters, manipulating keypoint and tie-point limits, upscaling factors, and masking strategies. The implementation of rigorous masking was critical, as the imagery is geometrically challenging: the moving river surface in the foreground and the sky in the background occupy the majority of the field of view, leaving only a narrow, static fraction of the image relevant for reliable 3D reconstruction. These combinations were evaluated against a dataset representing the full range of environmental variability, including clear, cloudy, dark, foggy, overexposed, and rainy conditions, as well as distinct hydrological states such as low flows, flood events, and snow cover.

Preliminary results indicate that a specific balance of 30,000 keypoints and 5,000 tie points (ratio 6.0) optimizes reconstruction fidelity, achieving an RMS error of 0.75 pixels under clear weather conditions. Notably, the system demonstrated unexpected robustness in low-light scenarios, maintaining consistent error margins of 1.17–1.18 pixels across various configurations. Conversely, scaling up these limits beyond the optimum yielded diminishing returns, confirming that higher computational loads do not necessarily equate to improved geometric accuracy. Furthermore, we applied gradual selection algorithms to filter sparse point clouds, removing unreliable points based on reconstruction uncertainty to isolate the most geometrically valid features.

The crucial final phase of this research bridges the gap between digital reconstruction and physical reality. We validate the optimized SfM-based point clouds by comparing them directly against high-precision Terrestrial Laser Scanning (TLS) data acquired during two previous campaigns and upcoming field surveys. This multi-temporal comparison allows us to quantify specific error margins for volumetric and horizontal material displacement calculations. By defining these accuracy constraints, we establish a validated protocol for calculating erosion volumes during high-flow events, ensuring that automated, low-cost monitoring systems can provide actionable, high-precision data for river management even under adverse environmental conditions.

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The research was funded by the DAAD-2024-2025-000006 project-based research exchange program (DAAD, Tempus Public Foundation).

How to cite: Bertalan, L., Kovács, L., Duran Vergara, L. C., Abriha, D., Krüger, R., Blanch Gorriz, X., and Eltner, A.: Optimizing SfM workflows for continuous river bank monitoring: evaluating image alignment accuracies across diverse environmental conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9167, https://doi.org/10.5194/egusphere-egu26-9167, 2026.

Long-term observations of glacier mass change provide a key indicator of atmospheric warming and are essential for understanding glacier behaviour and responses to climate forcing. Archived aerial photographs represent an underutilised source of historical information from which three-dimensional surface geometry can be reconstructed to quantify past glacier change. This approach is particularly valuable in Antarctica, where surface-elevation change prior to the 1990s remains poorly constrained due to limited pre-satellite altimetry and a scarcity of reliable Ground Control Points (GCPs). As a result, historic mass-balance estimates have largely relied on climate reanalysis and modelling.

Advances in photogrammetric techniques have substantially improved the efficiency and accuracy of Digital Elevation Models (DEMs) derived from historical aerial imagery. Here, we present a newly compiled inventory of Antarctic aerial surveys conducted throughout the twentieth century, documenting their spatial and temporal coverage to identify regions suitable for DEM reconstruction. Then, building on established workflows, we show newly constructed DEMs for three glaciers that formerly fed the Larsen A Ice Shelf on the Antarctic Peninsula, capturing surface geometry both before and after its collapse in 1995. These reconstructions reveal heterogenous glacier responses to reduced buttressing, controlled by local morphology and consistent with previous regional observations.

How to cite: Rowe, E., Willis, I., and Fenney, N.: Compiling an Inventory of Historic Antarctic Aerial Photographs to Measure Long-Term Glacial Mass Balance Change from Digital Elevation Models, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13015, https://doi.org/10.5194/egusphere-egu26-13015, 2026.

EGU26-13875 | Posters on site | GM2.5

Using high-resolution bathymetric data from a multibeam sonar acquisition to map and analyse geomorphical underwater structures in the proglacial Grastallake in the Horlachtal valley/ Ötztal Alps 

Florian Haas, Manuel Stark, Jakob Rom, Lucas Dammert, Till Kohlhage, Toni Himmelstoss, Diana-Eileen Kara-Timmermann, Moritz Altmann, Carolin Surrer, Korbinian Baumgartner, Peter Fischer, Sarah Betz-Nutz, Tobias Heckmann, Norbert Pfeifer, Gottfried Mandlburger, and Michael Becht

As part of the DFG research group “Sensitivity of high alpine geosystems to climate change since 1850” (SEHAG), high-resolution multibeam sonar data was collected from the proglacial Grastallake in the Ötztal valley during a boat survey in the summer of 2025. The Grastallake has an area of approximately 63,000 m², a maximum depth of approximately 16 m, and lies at an altitude of 2,584 m. The lake is situated in a former cirque, and its shores and the surrounding are partly composed of loose material and partly of solid rock. In the western part, there is a large whaleback with already known Egesen-moraines on top. On the southern and eastern shores, larger active debris flow cones are coupled to the lake, with meltwater runoff from the higher Grastalferner glacier flowing into the lake as a perennial stream via the eastern debris flow cone. Due to the permanent inflow from the glacier and the topographic conditions of the catchment area, the eastern debris flow cone is very active and has intensively been reshaped by several extreme debris flow events during the last years.

The bathymetric data was collected using a Norbit multibeam sonar (WBMS), which was supplemented by an SBG INS system (dual GNSS patch antenna system, SBG Eclipse D) by Kalmar Systems. Since the underwater topography of the lake was unknown and its high turbidity due to the glacier inflow, the first step was to conduct a rough survey of the lake. This step made it possible to create a coarse depth map on site in order to identify spots with shallow water, determine the system settings, and draw up a navigation plan along strips. After field work the recorded data was processed using Quinertia for trajectory calculation and Opals for strip adjustment. This resulted in a final 3D point cloud with an average point density of 400 points per square meter, which was converted to raster data in order to perform spatial analyses.

Using the data, geomorphological forms were mapped in a first step. In addition to a previously unknown late glacial moraine section, the underwater deposits of recent debris flows became visible. In addition to mapping, geomorphological structures were used for spatial analysis, such as comparing the depositions of debris flows above and below the water. Since the data is very well suited for mapping underwater structures, this case study demonstrates the enormous potential of bathymetric data acquired by multibeam sonar measurements, that has rarely been used for geomorphological studies to date. Multitemporal analysis in the sense of a 4D analysis could only be carried out to a limited extent in this case study. However, with the data now available, multitemporal analysis, i.e., quantification of sediment input into lakes, will also be possible in the future. This would then enable assessments to be made of the hazard potential of newly formed lakes in the proglacial area and of their lifespan. 

How to cite: Haas, F., Stark, M., Rom, J., Dammert, L., Kohlhage, T., Himmelstoss, T., Kara-Timmermann, D.-E., Altmann, M., Surrer, C., Baumgartner, K., Fischer, P., Betz-Nutz, S., Heckmann, T., Pfeifer, N., Mandlburger, G., and Becht, M.: Using high-resolution bathymetric data from a multibeam sonar acquisition to map and analyse geomorphical underwater structures in the proglacial Grastallake in the Horlachtal valley/ Ötztal Alps, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13875, https://doi.org/10.5194/egusphere-egu26-13875, 2026.

EGU26-17031 | ECS | Posters on site | GM2.5

High-precision point cloud generation for forest inventory: Integrating GNSS-RTK and SLAM for handheld laser scanning 

Carolin Rünger, Stefan Binapfl, Ferdinand Maiwald, Robert Krüger, and Anette Eltner

In recent years, forest management and inventory have increasingly relied on handheld personal laser scanners (H-PLS) for capturing flexible three-dimensional data. These systems have become essential for extracting critical tree attributes, such as diameter at breast height (DBH) and tree height. Most traditional H-PLS systems utilize Simultaneous Localization and Mapping (SLAM), which fuses LiDAR and Inertial Measurement Unit (IMU) data to reconstruct environments. However, SLAM is based on relative sensor measurements, which inherently causes accumulated errors and trajectory drift. In complex forest environments, similar-looking stems and moving vegetation can further confuse the mapping process, resulting in distorted point clouds or duplicated stems that reduce the accuracy of extracted tree attributes.

While Global Navigation Satellite System (GNSS)-based Real-Time Kinematic (RTK) positioning provides centimetre-level absolute accuracy and usually drift-free trajectories, its application in forestry is critically hindered by signal obstruction in dense canopies. The integration of GNSS-RTK and SLAM offers a robust and synergetic solution to these challenges, allowing one method to compensate for the failures of the other. A promising development in this field is an H-PLS system that integrates GNSS-RTK, IMU, LiDAR, and camera measurements to generate georeferenced point clouds directly in the field. This hybrid approach utilizes LiDAR and camera data to maintain positioning during GNSS outages and utilizes RTK information to re-initialize and correct the trajectory once the signal is restored.

Our study evaluates whether this integrated GNSS-RTK SLAM approach improves point cloud geometry and tree attribute extraction compared to traditional SLAM methods without GNSS integration. We conducted a field campaign in a mixed forest stand during the leaf-off period to simulate realistic operating conditions with alternating GNSS visibility. The performances of a SLAM-only and a SLAM + GNSS-RTK H-PLS were validated against highly accurate terrestrial laser scanning (TLS) reference data. The analysis involved tree segmentation to assess individual tree identification and the derivation of DBH, stem positions, and tree heights. Furthermore, we investigated internal geometric quality by analysing local noise levels using cross-sectional residuals relative to fitted circles and assessed spatial homogeneity to identify artifacts like duplicated stems or gaps.

Initial results indicate that the SLAM + GNSS-RTK H-PLS system provides DBH estimates comparable to TLS, with observed differences of 6.3 mm and 1.17 cm for major and minor axes, respectively. Despite slight overestimations due to scattering, the significantly reduced acquisition time makes this integrated system an efficient alternative for forestry applications. These findings contribute to a better understanding of how integrated positioning systems can enhance mobile laser scanning workflows and support the development of autonomous, high-precision forest mapping solutions.

How to cite: Rünger, C., Binapfl, S., Maiwald, F., Krüger, R., and Eltner, A.: High-precision point cloud generation for forest inventory: Integrating GNSS-RTK and SLAM for handheld laser scanning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17031, https://doi.org/10.5194/egusphere-egu26-17031, 2026.

EGU26-17484 | Orals | GM2.5

Permanent terrestrial laser scanning for environmental monitoring 

Roderik Lindenbergh, Sander Vos, and Daan Hulskemper

Many topographic scenes demonstrate complex dynamic behavior that is difficult to map and understand. A terrestrial laser scanner fixed on a permanent position can be used to monitor such scenes in an automated way with centimeter to decimeter quality at ranges of up to several kilometers. Laser scanners are active sensors, and can continue operation during night. Their independence from surface texture properties ensures in principle that they provide stable range measurements for varying surface conditions.

Recent years have seen an increase in the employment of such systems for different applications in environmental geosciences, including forestry, glaciology and geomorphology. This employment resulted in a new type of 4D topographic data sets (3D point clouds + time) with a significant temporal dimension, as such systems can acquire thousands of consecutive epochs.

However, extracting information from these 4D data sets turns out to be challenging, first, because of insufficient knowledge on error budget and correlations, and second, because of lack of algorithms, benchmarks, and best-practice workflows.

The presentation will showcase recently active systems that monitored a forest, a glacier, an active rockfall site and a sandy beach respectively. Data from these systems will be used to illustrate different systematic challenges that include instabilities of the sensor system, meteorological and atmospheric influence on the data product and the maybe surprising need for alignment of point clouds from different epochs.

In addition, different ways to extract information from these 4D data sets will be discussed, in connection with particular applications. While bi-temporal change detection is often a starting point for exploring 4D data, several methods are being developed that truly exploit the extensive time dimension, including tracking, trend analysis, time series clustering and spatio-temporal region growing.

Lessons learned from experiences with these systems in different domains lead to several recommendations for future employment considering field of view design, auxiliary sensors (e.g. IMU, camera, weather station) and the possible deployment of low-cost alternatives, thereby providing a view on the near future of permanent laser scanning.

Reference

Lindenbergh, R., Anders, K., Campos, M., Czerwonka-Schröder, D., Höfle, B., Kuschnerus, M., Puttonen, E., Prinz, R., Rutzinger, M., Voordendag, A & Vos, S. (2025). Permanent terrestrial laser scanning for near-continuous environmental observations: Systems, methods, challenges and applications. ISPRS Open Journal of Photogrammetry and Remote Sensing, 17, 100094. DOI: 10.1016/j.ophoto.2025.100094

How to cite: Lindenbergh, R., Vos, S., and Hulskemper, D.: Permanent terrestrial laser scanning for environmental monitoring, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17484, https://doi.org/10.5194/egusphere-egu26-17484, 2026.

Beachrocks are cemented coastal deposits formed within the intertidal zone by the precipitation of magnesium-rich calcium carbonate. They constitute important paleogeographic and paleoclimatic markers, as they allow the reconstruction of past shoreline evolution. In addition, beachrocks influence current coastal dynamics and represent valuable geological heritage and ecological reservoirs that require preservation.

This study focuses on a sequence of multiple beachrock levels located along the Catalan Coast (NE Iberian Peninsula). The system consists of a complex sequence of submerged beachrocks with a wide formation range, situated at water depths between −0.25 m and −48 m below the current sea level. These deposits exhibit lateral continuity of up to 4.5 km and are characterized by reduced thicknesses and low geomorphic expression. The underlying substrate is composed of unconsolidated marine sediments. In certain sectors, a spatial overlap with Posidonia oceanica meadows occurs.

The aforementioned characteristics hinder their cartographic representation using traditional methods, such as aerial image interpretation and hillshade maps derived from bathymetric data, particularly for thin structures located at greater depths and in areas where Posidonia oceanica meadows are present.

The aim of this study is to evaluate the usefulness of the Red Relief Image Map (RRIM) method as an alternative quantitative terrain visualization tool for the cartography of submerged beachrocks. This method is based on the quantitative attribute openness, which expresses the degree of dominance or enclosure of a location on an irregular surface and enhances concave (negative openness) and convex (positive openness) features. Using this attribute, the RRIM method combines three main elements: topographic slope, positive openness and negative openness, allowing the visualization of subtle, low-relief topographic structures on apparently flat surfaces.

Using this approach, this study aims to improve the identification and cartographic delineation of submerged beachrock levels and to define optimal visualization parameters that contribute to a better understanding of the beachrock sequence.

How to cite: Vicente, M.-A., Mencos, J., and Roqué, C.: Testing the Red Relief Image Maps methodology to enhance the beachrock cartography in Torredembarra coast (Catalan coast, West  Mediterranean Sea), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17571, https://doi.org/10.5194/egusphere-egu26-17571, 2026.

EGU26-17927 | ECS | Posters on site | GM2.5

Long-term glacier elevation change at Gran Campo Nevado since 1945  

Lucas Kugler, Camilo Rada, Clare Webster, Jan Dirk Wegner, Etienne Berthier, and Livia Piermattei

Scanned historical aerial photographs acquired with film cameras from the early twentieth century to the early 2000s are the longest and richest archive of Earth observation data for reconstructing past topography. Those with stereoscopic acquisition enable the generation of Digital Elevation Models (DEMs) and orthoimages when processed with photogrammetric techniques, extending the assessment of environmental change beyond the time scale of modern satellite observations.  

In this study, we present a long-term (1945-2020) dataset of glacier surface elevation for the Gran Campo Nevado ice field in southern Chile. The dataset is based on aerial photographs acquired in 1945 using a Trimetrogon camera and in the 1980s and 1990s using nadir-looking film cameras from the Chile60 and Geotec flight campaigns, complemented by a 2020 Pléiades satellite–derived DEM made available through the Pléiades Glacier Observatory program (Berthier et al., 2023). To process the historical photographs, we developed an open-source pipeline that builds on structure-from-motion (SfM) principles and incorporates learning-based feature-detection and matching algorithms, such as SuperPoint and LightGlue. Absolute image orientation is achieved through automated detection of ground control points derived from the Pléiades DEM and orthoimage. DEMs accuracy was evaluated over stable terrain by comparing them with the Pléiades reference DEM. As well, the reconstructed DEMs are compared with those obtained using an established SfM processing workflow (HSfM; Knuth et al., 2023). The resulting DEMs provide a reconstruction of glacier surface elevation spanning more than seven decades, and glacier elevation changes are quantified from the DEM time series. By using reproducible, open-source methodologies, this presentation demonstrates opportunities for the research community to leverage other historical datasets and extend analyses beyond what is possible with modern satellite observations alone. 

How to cite: Kugler, L., Rada, C., Webster, C., Wegner, J. D., Berthier, E., and Piermattei, L.: Long-term glacier elevation change at Gran Campo Nevado since 1945 , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17927, https://doi.org/10.5194/egusphere-egu26-17927, 2026.

EGU26-18399 | ECS | Orals | GM2.5

From badland to bushland? Analysis of geomorphic process dynamics and vegetation development in a sub-humid calanchi area based on high-resolution UAS data (2014-2024). 

Manuel Stark, Annalisa Sannino, Martin Trappe, Jakob Rom, Jakob Forster, Georgia Kahlenberg, Florian Haas, and Francesca Vergari

Badlands are among the most rapidly developing landscapes and exhibit a significant degree of geomorphological activity. In semi-arid/ sub-humid landscapes, specific precipitation dynamics result in particularly rapid geomorphological development. This applies in particular to land cover and geomorphology. This study employs quantitative, multi-temporal analysis to examine the spatio-temporal changes in a sub-humid calanchi badland in the upper Val d'Orcia (Italy) over a period of ten years (2014-2024). Particular emphasis lies on the dynamics of geomorphological processes and topographical changes, while considering the variables of vegetation and precipitation. The analysis encompasses both extreme events and prolonged rainfall lasting several days, which are the primary factors for surface changes in subhumid badlands. The utilisation of UAS SfM-MVS in conjunction with precise dGNSS measurements facilitates high-resolution change detection and landform analysis across five distinct observation periods, each spanning two years (= five DoD). The interactions between vegetation and geomorphological processes are investigated using a semi-automatic mapping approach based on the Triangular Greenness Index (TGI) and the interpretation of topographical changes (DoD). The vegetation analysis are based on high-resolution orthomosaics with a resolution of 0.05 m, while the geomorphic change detection analysis is carried out on 2.5D rasterised digital surface models with a resolution of 0.25 m. The major results are as follows: The mean slope gradient of the entire study site remained largely stable despite certain areas showing enhanced geomorphic activity. The DoD analysis revealed four 'geomorphic hot spots', areas of enhanced geomorphic activity and sediment contribution from the tributaries to the main valley (the major deposition area). The annual erosion rates vary between -0.4 cm (2018-2022) and -4 cm (2022-2024). The observed topographic changes can be attributed primarily to high-magnitude events (complex landslides and debris-like flows) that occur irregularly. The multi-temporal mapping of landforms has revealed a significant reduction in water erosion, with a 50% decrease observed from 35% in 2014 to 17% in 2024. Furthermore, the combination of 2D-mappings and 2.5D DoD-analysis enabled the documentation of a geomorphological process previously unknown in badland areas, namely gravitational bulging. This describes the deformation of sediments in lower-lying clay layers as a response to water infiltration, high swelling capacities of clays and the pressure exerted by the sediment packages lying above them. A significant increase in vegetation cover has been observed, particularly in areas designated as potentially moist and gentle terrain, often the deposition areas from the previous period. In general, vegetation underwent a gradual transition, evolving from a fragmented to a continuous structure, primarily due to the widespread colonisation of the main valley and the landslide pathways.  Although the area affected by erosion processes decreased over the course of the study period, erosion rates remained relatively constant. This indicates a shift from high-frequency to high-magnitude processes in the most recent observation period. Overall, the phase under consideration in this study (2014-2024) can be characterised as a phase of badland stabilisation.

How to cite: Stark, M., Sannino, A., Trappe, M., Rom, J., Forster, J., Kahlenberg, G., Haas, F., and Vergari, F.: From badland to bushland? Analysis of geomorphic process dynamics and vegetation development in a sub-humid calanchi area based on high-resolution UAS data (2014-2024)., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18399, https://doi.org/10.5194/egusphere-egu26-18399, 2026.

EGU26-19445 | ECS | Orals | GM2.5 | Highlight

From Static to Dynamic: Modernizing the Sharing of HistoricalPhotogrammetry Datasets 

Felix Dahle, Roderik Lindenbergh, and Bert Wouters

The recovery of historical topography from analogue aerial archives has has become a well-established workflow in geosciences, unlocking high-resolution records of topographic change that were previously inaccessible. However, the standard practice for sharing these results relies on static FTP servers or raw file downloads. Consequently, these datasets often remain difficult to discover, particularly for researchers from other disciplines who cannot easily assess the spatial coverage or relevance of the archive through static file lists. Furthermore, existing web-based visualization solutions often require complex database configurations and advanced full-stack development skills, rendering them inaccessible for many geoscience research groups lacking dedicated software engineers.

In this work, we present a lightweight, open-source web application designed to support the publication of historical photogrammetric data. The design prioritizes portability and ease of deployment for non-developers. Unlike complex Content Management Systems (CMS) that rely on heavy database backends, our tool utilizes a streamlined file-based ingestion pipeline. Researchers can deploy a fully interactive instance by populating a directory structure with standard geospatial vector formats (e.g., Shapefiles, GeoJSON) and point cloud data. The Node.js-based backend automatically parses these inputs to configure the visualization interface, thereby eliminating the need for manual database administration.

We demonstrate the capabilities of the website using a dataset from the Antarctic TMA archive with ~ 250.000 images. The resulting interface facilitates spatio-temporal discovery through an interactive map that visualizes survey footprints, including the residuals between metadata-derived and SfM-estimated positions. This allows users to rapidly assess geometric quality and survey coverage. To extend the platform beyond simple 2D mapping, we present the architectural integration of Potree for browser-based 3D visualization. We discuss the workflow for streaming massive point clouds to the client, a feature designed to transform the website from a passive gallery into an active analytical tool for measurement and validation. Finally, we address the challenge of data distribution by outlining the implementation of a bulk-download utility, structured to allow users to filter and request specific subsets of raw imagery, associated metadata and processed data based on their visual selection.

By providing a self-contained, low-dependency solution, we aim to shift the community standard from static archiving to dynamic, interactive exploration. This tool allows geoscientists to easily share their historical images and reconstructions and make their data truly accessible to the broader scientific community without the overhead of custom software development.

How to cite: Dahle, F., Lindenbergh, R., and Wouters, B.: From Static to Dynamic: Modernizing the Sharing of HistoricalPhotogrammetry Datasets, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19445, https://doi.org/10.5194/egusphere-egu26-19445, 2026.

EGU26-20499 | ECS | Posters on site | GM2.5

Detecting desert kites in 3D point clouds by learning anomalies 

Reuma Arav

Desert kites are large prehistoric hunting traps typically composed of two long, low stone walls that converge toward an enclosure.  These structures are widely distributed across the arid and semi-arid margins of the Middle East and Central Asia, exhibiting substantial variability in size, geometry, construction techniques, and topographic setting. To better understand their functionality from the Neolithic to sub-contemporaneous times, terrestrial laser scanning has increasingly been used to capture high-resolution three-dimensional representations of desert kites, enabling detailed characterization of their construction and local terrain setting. However, the kites’ subtle expression, their large spatial extent, and their progressive blending into the natural surface complicate their detection. These difficulties are further exacerbated by variable point density resulting from the alignment of multiple terrestrial scans, unavoidable occlusions caused by topography or vegetation, and the sheer volume of data produced by high-resolution ground-based surveys.  Together, these factors make the reliable identification and analysis of desert kite features within raw terrestrial point clouds a challenge, which requires extensive manual intervention and expert interpretation.

In this study, I present an automated, machine-learning-based approach for highlighting desert kite features directly within 3D point clouds derived from terrestrial laser scanning, without the need for manual annotation or labelled training data. The proposed method is based on the premise that the kites' structures introduce geometric irregularities (anomalies) relative to the surrounding natural surface. Rather than explicitly modelling the kite's form  or imposing predefined shape descriptors, the method learns a representation of the underlying terrain surface directly from the point cloud. This learned representation is then used to reconstruct the surface, which is subsequently compared to the original terrestrial measurements. Local deviations between the reconstructed surface and the original point cloud are quantified, with larger reconstruction errors interpreted as potential surface anomalies indicative of the kite's features. 

The proposed workflow is fully data-driven and unsupervised. It does not rely on prior knowledge of kite geometry, site-specific heuristics, or expert-defined thresholds. Instead, the learning process adapts to the local surface characteristics captured in the input dataset, making it robust to variations in resolution, occlusions, and terrain complexity commonly encountered in terrestrial laser scanning surveys. 

The findings demonstrate that surface-reconstruction-based anomaly detection offers a promising pathway for the automated identification of desert kite features in terrestrial 3D point clouds. More broadly, the approach is applicable to archaeological structures that exhibit weak or subtle geometric signatures. By reducing dependence on manual interpretation and labelled datasets, the method supports more objective, scalable, and reproducible analyses of archaeological landscapes, particularly in complex terrain where anthropogenic features are embedded within natural surfaces.

How to cite: Arav, R.: Detecting desert kites in 3D point clouds by learning anomalies, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20499, https://doi.org/10.5194/egusphere-egu26-20499, 2026.

Despite significant advancements in landslide monitoring, landslides occurring on densely forested slopes remain largely unexplored. While conventional subsurface characterization methods (e.g., DPH, CPT, percussion drilling) are often impractical due to limited accessibility and steep rugged terrain, surficial analyses using remote sensing techniques frequently face challenges in capturing high-resolution ground surface data due to occlusion caused by dense vegetation cover as well as technical limitations.
Although trees and forests are generally acknowledged to reduce the probability of landslide occurrence, they are unlikely to prevent or substantially mitigate deep-seated landslides or failures on very steep slopes. Instead, trees may serve as proxies of landslide activity, potentially improving the understanding and monitoring of densely forested slopes. Affected by slope movements, trees experience external growth disturbances and develop characteristic growth anomalies that can be partly attributed to underlying landslide processes.

Multiple studies have demonstrated the feasibility of extracting such external growth disturbances, primarily stem tilting, by assessing the inclination and curvature of tree stems in LiDAR point clouds, greatly building upon previous forestry-related studies exploring the mapping, classification, and derivation of stem parameters such as height and diameter from digital twins. However, the potential to extract externally visible eccentric growth patterns in stem cross-sections at heights of maximum bending, analogous to dendrogeomorphologic tree-ring analyses, as a proxy for landslide activity has not yet been explored. Additionally, the classification of overall tree shape may provide valuable insights into the characteristics of underlying slope movements, but, to the best of the author’s knowledge, this has not been addressed in previous research.

To investigate the potential of automatically extracting tree shape and stem eccentricity from LiDAR data, and to evaluate their suitability as proxies of landslide activity, we introduce an improved two-stage processing pipeline for tree identification and extraction, along with a dedicated framework for digital dendrogeomorphology. Building upon previous work, we compute normal vectors of locally fitted planes and projected point densities to separate trees from the point cloud. To enhance the extraction of complex shaped trees (e.g., S-shaped or pistol-butted) characteristic of landslide-prone slopes, we introduce dynamically adjusted normal vector thresholds derived from estimated stem inclination. After segmenting tree stems from the point cloud, ellipses are fitted at configurable height intervals to determine cross-section centroids. These centroids are then connected as vertices of a 3D polyline, which is subsequently smoothed using a natural spline to represent the generalized stem geometry. Based on the curvature of the resulting polyline, the height of maximum bending is identified, and the corresponding cross-section eccentricity is extracted. In addition, the curvature of the polyline is used to categorically classify overall tree shape.

Our digital dendrogeomorphology approach applied to 3D point clouds enables accurate extraction of stem eccentricity, even for complex tree shapes typical of landslide-prone slopes. When paired with automated tree-shape classification, these data offer insights into slope movement and improve understanding of landslide processes in densely forested environments.

How to cite: Kamaryt, T.-H. and Müller, B.: Tree Geometry as a Potential Proxy for Landslide Activity in Densely Forested Slopes: A LiDAR-Based Digital Dendrogeomorphology Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21238, https://doi.org/10.5194/egusphere-egu26-21238, 2026.

Large-scale infrastructure development in mountain regions produces significant changes in slope morphology and surface processes. However, stability assessments conducted after construction often rely on static or short-duration evaluations. These approaches tend to assume an immediate geomorphic adjustment to human disturbance, which can overlook delayed and nonlinear responses of hillslopes. This study examines terrain adjustments that occur with a time delay following major construction activities in complex mountainous settings. The analysis is based on a series of high-resolution topographic datasets obtained through repeated LiDAR surveys along the Sibiu - Pitești motorway corridor in the Southern Carpathians of Romania. Changes in terrain configuration caused by excavation, filling, drainage alteration, and the unloading of slopes are identified by comparing elevation models and terrain metrics. Instead of focusing solely on deformation located at the site of intervention, the study investigates terrain responses that appear later and in areas situated upslope or laterally from the engineered zones. Findings show that slope instability and surface reorganization often emerge after a measurable time delay, typically reactivating existing geomorphic features such as drainage pathways, slope breaks, and erosional forms. These responses are not random but show a strong dependence on prior landscape conditions and the type of construction-related disturbance. The results emphasize the limitations of early assessments performed shortly after construction, which may fail to capture landscape dynamics relevant for landslide initiation. The study demonstrates the usefulness of repeated LiDAR mapping for detecting evolving terrain responses in engineered mountain landscapes and supports the integration of time-sensitive processes into hazard assessment strategies.

How to cite: Al-Taha, W., Andra-Topârceanu, A., and Mustățea, S.: Delayed slope response to infrastructure-induced landscape modifications in mountainous terrain revealed by high-resolution LiDAR analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21758, https://doi.org/10.5194/egusphere-egu26-21758, 2026.

EGU26-22072 | ECS | Posters on site | GM2.5

Automated photogrammetric reconstruction of Birch Glacier, Switzerland (1946–2025): A high-density time series of topographic change preceding catastrophic glacier collapse 

Friedrich Knuth, Elias Hodel, Holger Heisig, Mauro Marty, Mylène Jacquemart, Andreas Bauder, Jean-Luc Simmen, and Daniel Farinotti

As glaciers retreat, permafrost degrades, and mountains destabilize, modern landscape evolution is increasing the potential for catastrophic events, such as the Birch Glacier collapse on May 28, 2025. To improve our understanding of mass movements in mountainous regions and support future hazard assessment and risk mitigation efforts, we are generating time series of glacier surface elevation change from historical aerial photography provided by the Swiss Federal Office of Topography (Swisstopo). 

In this case study, we leveraged multi-temporal photogrammetric reconstruction and Digital Elevation Model (DEM) coregistration techniques, implemented in the Historical Structure from Motion (HSfM) pipeline, to generate an ~80-year record of self-consistent DEMs and orthoimage mosaics from analog film imagery collected over the Birch Glacier between 1946 and 2010. From 1985 until 2010 we generated nearly annual surface measurements, making this a unique and remarkably dense historical time series. The time series is augmented with modern surface measurements generated from linescan and UAV imagery collected during the period of 2010 to 2025. To quantify the uncertainty of elevation change measurements we compute residuals with respect to the swissSURFACE3D elevation over stable ground, defined by the swissTLM3D land surface classification. The reconstructed time series provides geometric constraints to precisely model the preconditioning phase leading up to the May 2025 Nesthorn-Birchglacier hazard cascade, which may help mitigate future risks in mountainous terrain (see Jacquemart et al. 2026 in GM3.1)

How to cite: Knuth, F., Hodel, E., Heisig, H., Marty, M., Jacquemart, M., Bauder, A., Simmen, J.-L., and Farinotti, D.: Automated photogrammetric reconstruction of Birch Glacier, Switzerland (1946–2025): A high-density time series of topographic change preceding catastrophic glacier collapse, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22072, https://doi.org/10.5194/egusphere-egu26-22072, 2026.

SSS12 – Soil Policy and Legislation

EGU26-10285 | Orals | SSS12.2

A proposal for a statistical framework to define a harmonised monitoring system in Europe, incorporating existing networks. 

Nicolas P.A. Saby, Louis Potel, Bertrand Laroche, Benjamin Trochon, Irénée Jossard, Patricia Laville, Antoine Pierart, Miriam Buitrago, Anne-chloe Garesse, Béatrice Michalland, and Antonio Bispo

In Europe, the Soil Monitoring Law (SML) was published on 26 November 2025 and entered into force on 16 December of the same year. Member States have three years from that date to transpose the directive into national law. They must also set up a harmonised monitoring system, with common European descriptors and methodology, in order to assess the health of soils throughout their territory. The directive emphasises the creation of public registers and a risk-based approach, which implies increased collaboration between administrations, scientists and local actors. 
The aim of this presentation is to explore the statistical aspects of the design of the harmonised European network and their implications for Member States. To this end, a statistical framework is proposed to simulate possible configurations of future networks, while taking into account the constraints imposed by SML and pre-existing networks in the territories. This generic approach is discussed and implemented for France, which has existing networks. 
In particular, we test different definitions of the concept of soil unit and soil district. We also propose using existing maps produced by digital mapping methods to feed into the Bethel algorithm, which allows for the optimal allocation of sampling units to strata in stratified random sampling. An important aspect of this work is the integration of prediction uncertainty into sampling unit allocation, thanks to the work carried out as part of the OSPATS method (de Gruijter et al., 2015).

 

de Gruijter, J. J., B. Minasny, and A. B. McBratney. 2015. “Optimizing Stratification and Allocation for Design-Based Estimation of Spatial Means Using Predictions with Error.” Journal of Survey Statistics and Methodology 3 (1): 19–42.

 

How to cite: P.A. Saby, N., Potel, L., Laroche, B., Trochon, B., Jossard, I., Laville, P., Pierart, A., Buitrago, M., Garesse, A., Michalland, B., and Bispo, A.: A proposal for a statistical framework to define a harmonised monitoring system in Europe, incorporating existing networks., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10285, https://doi.org/10.5194/egusphere-egu26-10285, 2026.

EGU26-11175 | Posters on site | SSS12.2

Beyond Monitoring: How are data of National Soil Monitoring Networks reported and verified? An overview of European countries 

Sambit Shome, Camille Imbert, Carsten Paul, Antonio Bispo, Christopher Poeplau, and Katharina Helming

Soil health in Europe is a major policy concern, with approximately 62% of European Union soils being classified degraded [1]. In response, the adoption of the EU Soil Monitoring Law in 2025 has mandated systemic, national scale soil monitoring. The successful application of the law relies heavily on established national soil monitoring networks - infrastructures designed to track the spatial and temporal changes in soil properties in the European countries. These networks implement robust technical procedures, implicitly employing Monitoring, Reporting, and Verification (MRV) frameworks: a concept often used in the private carbon markets spheres [2]. In the context of soils, MRV consists of a scientifically robust system to monitor soil and produce reproducible results (Monitoring), to support structured and transparent communication (Reporting), and to reliably verify the quality of results by independent experts (Verification). The soil monitoring networks represent a robust evidentiary baseline, capable of guiding the practical MRV framework implementation, where standardised procedures are currently lacking.

While Monitoring components applied by different European Soil Monitoring Networks have been well documented [3], operational details of Reporting and Verification procedures remain a significant knowledge gap. Our study contributes to closing this gap by classifying Reporting & Verification procedures applied by the national soil monitoring networks in Europe. We hypothesize that procedures exhibit both commonalities as well as cross-country variance driven by diverging national policy requirements and economic constraints. To test this, an online questionnaire was administered to coordinators and/or subject matter specialists of the corresponding national soil monitoring networks. We will highlight common bottlenecks in data verification or diverse reporting formats. Based on our results, we give recommendations to the soil monitoring networks to implement and complete the  Reporting and Verification procedures of the respective networks. This would be a stepping stone towards data harmonisation of reporting and verification procedures, supporting the implementation of the EU Soil Monitoring Law.

REFERENCES

 

[1]       European Commission, Joint Research Centre, European Soil Data Centre (n.d.) EUSO Soil Health Dashboard. Online: https://esdac.jrc.ec.europa.eu/esdacviewer/euso-dashboard/ (accessed 14.01.2026)https://esdac.jrc.ec.europa.eu/esdacviewer/euso-dashboard/

 

[2]           Batjes, N.H., Ceschia, E., Heuvelink, G.B.M., Demenois, J., Le Maire, G., Cardinael, R., Arias-Navarro, C., Van Egmond, F., 2024. Towards a modular, multi-ecosystem monitoring, reporting and verification (MRV) framework for soil organic carbon stock change assessment. Carbon Management 15, 2410812. https://doi.org/10.1080/17583004.2024.2410812

 

[3]           Mason, E., Cornu, S., Arrouays, D., Fantappiè, M., Jones, A., Götzinger, S., Spiegel, H., Oorts, K., Chartin, C., Borůvka, L., Pihlap, E., Putku, E., Heikkinen, J., Boulonne, L., Poeplau, C., Marx, M., Tagliaferri, E., Vinci, I., Leitāns, L., … Bispo, A. (2025). Monitoring Systems of Agricultural Soils Across Europe Regarding the Upcoming European Soil Monitoring Law. European Journal of Soil Science, 76(4). https://doi.org/10.1111/ejss.70163

 

How to cite: Shome, S., Imbert, C., Paul, C., Bispo, A., Poeplau, C., and Helming, K.: Beyond Monitoring: How are data of National Soil Monitoring Networks reported and verified? An overview of European countries, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11175, https://doi.org/10.5194/egusphere-egu26-11175, 2026.

In Europe, 60%–70% of soils are considered degraded, underscoring the urgent need for consistent monitoring to prevent further degradation and support evidence-based policies for sustainable soil management. Many countries in Europe have implemented one or more soil monitoring systems (SMSs), often established long before the EU-wide “Land Use/Cover Area frame statistical Survey Soil”, LUCAS Soil program. As a result, their sampling strategies and analytical methodologies vary significantly. The proposed EU Directive on Soil Monitoring and Resilience (Soil Monitoring Law, SML) aims to address these differences by establishing a unified framework for systematic soil health monitoring across the EU. This paper assesses the compatibility of the 25 identified SMSs from countries participating in the EJP SOIL Program with the anticipated requirements of the SML. The analysis focuses on critical aspects, including sampling strategies, analytical methods, and data accessibility. Results (Figure 1) show significant variability in SMS approaches, including sampling depth, monitored land uses, and analytical methods, which limit cross-system comparability. Despite challenges, opportunities for harmonization include aligning SMSs with the LUCAS Soil methodology, developing transfer functions, and adopting scoring systems for soil health evaluation. Enhanced collaboration and data accessibility are also emphasized as critical for achieving the SML's objectives. This research provides actionable recommendations to harmonise SMSs with the SML framework, promoting coordinated soil monitoring efforts across Europe to support the EU's goal of achieving healthy soils by 2050.

 

Acknowledgments

This research was developed in the framework of the European Joint Program for SOIL “Towards Climate-Smart Sustainable Management of Agricultural Soils” (EJP SOIL) funded by the European Union Horizon 2020 Research and Innovation Program (Grant agreement no. 862695). Sophia Götzinger acknowledges the European Union's Horizon Europe Research and Innovation Program funding for the BENCHMARKS project (Grant agreement: 101091010).

How to cite: Bispo, A. and the EJP SOIL WP6: Monitoring Systems of Agricultural Soils Across Europe regarding the Upcoming European Soil Monitoring Law, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11356, https://doi.org/10.5194/egusphere-egu26-11356, 2026.

EGU26-12787 | Posters on site | SSS12.2

Can enzyme activities assist soil health assessment in the EU Soil Monitoring and Resilience Directive? 

Grazia Masciandaro, Eleonora Peruzzi, Cristina Macci, Francesca Vannucchi, and Serena Doni

The EU Soil Monitoring and Resilience Directive (SMRD) establishes a harmonized framework for assessing soil health across Member States, focusing on chemical, physical, and biological descriptors. Currently, basal respiration is the only biological indicator of soil functionality suggested at the EU level, highlighting the need for complementary indicators that capture ecosystem processes and resilience under climate change and land management pressures.

Microbial-based functional indicators represent a promising solution, as soil microorganisms rapidly respond to environmental stress and drive key biogeochemical processes. Drawing on a series of case studies, literature reviews, and findings from EU-funded projects carried out by our research group (LIFE and Next Generation EU), we emphasize the critical role of soil eco-enzymes as indicators of soil health conditions. Enzyme activities, such as β-glucosidase (BG), acid phosphatase (AP), and N-acetyl-β-D-glucosaminidase (NAG), could be suitable descriptors of functional microbial biodiversity. In view of this, soil enzyme activities could be introduced as new descriptors in the Annex I during the Directive’s scheduled revision in 2033.

Microbial-released enzyme balance, under specific environmental conditions and spatial scales, could also contribute to evaluating and predicting the rate and efficiency of organic matter decomposition and immobilization, thus regulating the balance between stored C pools and CO₂ emissions. Integrating enzyme tests into SMRD monitoring protocols would provide robust descriptors of microbial processes influencing organic matter turnover. This approach strengthens the Directive’s capacity to evaluate soil health and resilience, offering a sensitive, easy-to-implement, and cost-effective functional indicators aligned with EU sustainability goals for 2050.

How to cite: Masciandaro, G., Peruzzi, E., Macci, C., Vannucchi, F., and Doni, S.: Can enzyme activities assist soil health assessment in the EU Soil Monitoring and Resilience Directive?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12787, https://doi.org/10.5194/egusphere-egu26-12787, 2026.

EGU26-13024 | Posters on site | SSS12.2

 Towards Healthy Soils by 2050: Linking NBS Implementation with Soil–Plant Indicators 

Serena Doni, Grazia Masciandaro, Andrea Scartazza, Francesca Vannucchi, Cristina Macci, Silvia Traversari, and Eleonora Peruzzi

Nature-Based Solutions (NBS), such as urban green infrastructure, agroforestry, and wetland restoration, are increasingly recognized as effective strategies for restoring soil health and enhancing ecosystem resilience, particularly in the context of climate change and land degradation. However, the scientific and operational integration of soil health monitoring within NBS implementation remains limited, despite its critical role in assessing long-term effectiveness. The forthcoming EU Soil Monitoring and Resilience Directive, which mandates harmonized soil monitoring systems and robust indicators across Member States, underscores the urgency of addressing these gaps.

Drawing on case studies and insights from European initiatives and research activities within the LIFE and Next Generation EU projects under the National Recovery and Resilience Plan, we focus on designing, applying, and monitoring NBS in both urban and natural areas, with restoration actions targeting degraded soils and ecosystems.

In line with the Directive’s requirement for harmonized monitoring systems, we propose a soil–plant indicator framework integrating physical, chemical, and biological dimensions: (i) enzyme activities and ecological stoichiometry to quantify functional microbial biodiversity loss; (ii) stable isotopes of C and N to quantify soil carbon loss; (iii) soil biodiversity metrics (taxonomic and diversity of microbiomes) to quantify biodiversity loss; and (iv) plant functional traits as proxies for soil–plant interactions. These indicators could be introduced as new descriptos in the Annex I during the Directive revision.

By bridging NBS implementation with soil health assessment, this work highlights research opportunities to support the Directive’s objectives and advance evidence-based strategies for achieving healthy soils by 2050. Collaborative efforts among scientists, policymakers, and stakeholders are essential to overcome methodological bottlenecks and promote resilient, biodiversity-friendly solutions at multiple scales.

How to cite: Doni, S., Masciandaro, G., Scartazza, A., Vannucchi, F., Macci, C., Traversari, S., and Peruzzi, E.:  Towards Healthy Soils by 2050: Linking NBS Implementation with Soil–Plant Indicators, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13024, https://doi.org/10.5194/egusphere-egu26-13024, 2026.

EGU26-14596 | Posters on site | SSS12.2

The Soil Innovation Partnership – United by Soil, Driven by Impact 

Sophie Zechmeister-Boltenstern, Lutz Merbold, Claire Chenu, Raisa Gerasina, Jesper Emborg, Amanda Matson, David Wall, Amanda Matson, Saskia Keesstra, Maria Fantappie, Maurits Voogt, Justin Zahra, Jocelyn Lavallee, Richard Zaltzman, and Saskia Visser

The Soil Innovation Partnership (SIP) builds on the legacy of the EJP SOIL to unite science, policy, business, and farming communities in accelerating the transition to climate-resilient, carbon smart agricultural soil management (across Europe).

SIPs mission is to move soil science into practice - by demonstrating the role of healthy soils in carbon storage, climate mitigation and adaptation, water management, sustainable food systems and food security. Through a growing public-private-philanthropic partnership, SIP connects research, on-farm validation, and finance to turn knowledge into investment-ready soil solutions.

During its 2025-2026 scoping phase SIP focuses on:

  • Co-designing actionable knowledge application pathways with farmers and funders
  • Validating soil-carbon practices and innovations in the field
  • Scaling through models that reward soil health and carbon storage outcomes

This presentation highlights how SIP connects research, innovation communities, practitioners and funders by complementing the EU Soil Mission’s ambition for healthy soils by 2050.

Through collaboration across disciplines and sectors, the Partnership will turn Europe’s soil knowledge into real world impact —strengthening soil functions, enhancing carbon sequestration and building climate resilience.

How to cite: Zechmeister-Boltenstern, S., Merbold, L., Chenu, C., Gerasina, R., Emborg, J., Matson, A., Wall, D., Matson, A., Keesstra, S., Fantappie, M., Voogt, M., Zahra, J., Lavallee, J., Zaltzman, R., and Visser, S.: The Soil Innovation Partnership – United by Soil, Driven by Impact, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14596, https://doi.org/10.5194/egusphere-egu26-14596, 2026.

EGU26-17028 | Orals | SSS12.2

An open-access (meta)data platform for Long-Term Field Experiments to support soil monitoring and assessment 

Cenk Dönmez, Carsten Hoffmann, Nikolai Svoboda, Xenia Specka, Igo Silva de Almeida, and Katharina Helming

Long-Term Field Experiments (LTEs) are permanently operated agricultural research infrastructures designed to study the long-term effects of management practices under changing climate conditions. These trials are essential for assessing the impacts of practices on crop production and soil across different textures and types, and for understanding soil health trajectories. LTEs therefore represent a high-value legacy data; however, their information is typically dispersed across various institutions and difficult to access.

To address this challenge, we developed an open-access (meta)data and knowledge platform centred on the LTE-Map (https://lte.bonares.de), providing a free and open access service to compile, harmonize, and reuse information on LTEs across Europe. The LTE-Map provides a spatial representation of LTEs and their key attributes by exchanging and harmonizing information from EU- and nationally funded initiatives (BonaRes, SoilWise, EJP SOIL). LTEs are clustered into categories directly relevant for soil monitoring (management operations, land use, duration, experimental status, etc.) (Grosse et al., 2020; Donmez et al., 2022; Donmez et al., 2023; Blanchy et al., 2024). Applying minimum duration thresholds of 5 years for mid-term trials and 20 years for LTEs, the (meta)database currently includes approximately 700 LTE records in a well structured and harmonized form across Europe and in a global context.

Our platform indicates that fertilization experiments represent the dominant research theme, followed by crop rotation and tillage, highlighting both strengths and gaps in long-term soil research coverage. By enabling the reuse of LTE data (as published in the BonaRes Repository - https://doi.org/10.17616/R31NJMVY) through geospatial approaches, including GIS-based climate impact analysis (Donmez et al., 2023), spatial representation (Grosse et al., 2020), GeoAI, and modelling (Donmez et al., 2024), the platform supports cross-country comparability and methodological innovation. It facilitates the scaling up of soil and agricultural knowledge from field to landscape level and supports strategies for resilient agricultural production, soil management, and food security in Europe, contributing to EU soil monitoring objectives. In our contribution, we demonstrate the potential that the LTE map has as a platform for collaboration in general and identify possible scientific evaluation methods for published LTE data and metadata.

References

Donmez C., Sahingoz M., Paul C., Cilek A., Hoffmann C., Berberoglu S., Webber H., Helming K., (2024): Climate change causes spatial shifts in the productivity of agricultural long-term field experiments. https://doi.org/10.1016/j.eja.2024.127121. European Journal of Agronomy.

Blanchy G., D’Hose T., Donmez C., Hoffmann C., Makoschitz L., Murugan R., O’Sullivan L., Sanden T., Spiegel A., Svoboda N., Boltenstern S.Z., Klummp K., (2024): An open-source database of European long-term field experiments. https://doi.org/10.1111/sum.12978  Soil Use and Management

Donmez C., Schmidt M., Cilek A., Grosse M., Paul C., Hierold W., Helming K., (2023): Climate Change Impacts on Long-Term Field Experiments in Germany. https://doi.org/10.1016/j.agsy.2022.103578. Vol.205, 103578. Agricultural Systems.

Donmez C., Blanchy G., Svoboda N., D’Hose T., Hoffmann C., Hierold W., Klummp K., (2022): Provision of the metadata of European Agricultural Long-Term Experiments through BonaRes and EJP SOIL Collaboration. https://doi.org/10.1016/j.dib.2022.108226. Data in Brief.

Grosse, M. et al., (2020): Long-term field experiments in Germany: classification and spatial representation. https://doi.org/10.5194/soil-6-579-2020. Soil.

How to cite: Dönmez, C., Hoffmann, C., Svoboda, N., Specka, X., de Almeida, I. S., and Helming, K.: An open-access (meta)data platform for Long-Term Field Experiments to support soil monitoring and assessment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17028, https://doi.org/10.5194/egusphere-egu26-17028, 2026.

EGU26-17785 | Orals | SSS12.2

The Integrated Monitoring System (SIM) to support the Italian implementation of the Soil Monitoring and Resilience Directive  

Claudia Cagnarini, Giovanni L'Abate, Andrea Lachi, Matteo Petito, Francesco Minutella, Lorenzo Giunchi, Francesca Assennato, Giuseppe Corti, and Michele Munafò

The Soil Monitoring and Resilience Directive will require Member States to implement harmonised frameworks for the storage, integration, and dissemination of soil monitoring data, to assess the prescribed set of indicators, and to support evidence-based policies for sustainable land management. In Italy, these requirements are being addressed through the development of a comprehensive digital infrastructure within the Integrated Monitoring System (SIM), a strategic initiative funded under the National Recovery and Resilience Plan.

The core component of this infrastructure is the National Soil Health Database (BNSS), conceived as a national hub for interoperable soil data management. The BNSS relies on an INSPIRE-compliant data model that has been further extended to formally represent sampling designs, sample handling procedures (transport and storage), and quantitative estimates of measurement uncertainty. This enhanced semantic framework enables the robust harmonisation of newly generated chemical, physical and biological soil data with heterogeneous legacy datasets, thereby improving data comparability, reusability and overall fitness for purpose across scientific and policy domains. The BNSS is supported by a suite of services for standardised data ingestion, metadata-driven catalogue discovery, advanced querying, and controlled data access, ensuring traceability of data ownership and provenance. All datasets, including historical records, can be systematically evaluated against configurable threshold values and synthesised at the scale of soil units, as stated in the Directive. At present, alternative soil unit delineations are produced through the spatial integration of soil districts, pedological maps, and land use and land cover layers, allowing for flexible scenario analysis. Spatial modelling workflows based on statistical and data-driven approaches are implemented through predefined analytical pipelines, enabling the generation of harmonised spatial products and their integration with downstream modelling tools, including applications for the assessment of soil water erosion. Overall, the SIM ecosystem establishes a coordinated, interoperable, and scalable digital environment that supports the network of competent national and local authorities designated under the Directive in the design, implementation, and evaluation of the foreseen long-term soil monitoring, fostering stronger links between soil science and policy.

How to cite: Cagnarini, C., L'Abate, G., Lachi, A., Petito, M., Minutella, F., Giunchi, L., Assennato, F., Corti, G., and Munafò, M.: The Integrated Monitoring System (SIM) to support the Italian implementation of the Soil Monitoring and Resilience Directive , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17785, https://doi.org/10.5194/egusphere-egu26-17785, 2026.

EGU26-18829 | Orals | SSS12.2

Challenges of monitoring contaminants in soils: insights from the French experience 

Claire Froger, Claudy Jolivet, Hélène Budzinski, Giovanni Caria, Nicolas P. A. Saby, Line Boulonne, Hélène Roussel, and Antonio Bispo

Soil pollution is one of the major threats upon soil health. However, the main knowledge of the extent and the diversity of contaminants in soils has been obtained during the last years and there is still a big knowledge gap. If the most campaigns were focusing on trace elements or well-known organic contaminants such as PAH or PCB, the bigger challenge lies ahead when looking at emerging contaminants such as PFAS, pesticides or microplastics. The recent EU directive on soil monitoring might be an opportunity to tackle these knowledge gaps about diffuse soil contamination and the risk they may pose along with a better distribution of the knowledge across countries. This presentation aims to showcase what has been done the last 20 years in France regarding soil contaminants, and specifically since 2020 about trace elements, organic contaminants but also pesticides and microplastics and what are the challenges going-on. Major results and lessons from these monitoring in France could be used when building the European monitoring to ensure the most efficient choices to advice and answer policy questions and enlighten decisions regarding contaminants.

How to cite: Froger, C., Jolivet, C., Budzinski, H., Caria, G., Saby, N. P. A., Boulonne, L., Roussel, H., and Bispo, A.: Challenges of monitoring contaminants in soils: insights from the French experience, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18829, https://doi.org/10.5194/egusphere-egu26-18829, 2026.

EGU26-19447 | ECS | Posters on site | SSS12.2

Accuracies and costs of prediction and mapping soil properties using proximal sensors: A systematic review 

Carlos Lozano Fondon, Romina Lorenzetti, Roberto Barbetti, Konrad Metzger, Gabriele Buttafuoco, Melis Özge Pinar, Sevinç Madenoğlu, Taru Sandén, Asa Gholizadeh, Bo Stenberg, Maria Fantappiè, Fenny van Egmond, Frank Liebisch, Rafael López Núñez, Maria Knadel, and Triven Koganti

We provide an overview of the accuracy of soil property predictions using the most common proximal sensing (PSS) techniques in precision agriculture (PA), both standalone and in combination with one another or with environmental covariates. Based on 114 scientific papers, we evaluate the accuracy of soil property estimates by calculating the normalized root mean square error (NRMSE) using RMSE values and the range of the predicted soil property. Soil properties, PSS techniques, covariate types, and the model employed for predictions are the factors used to sort the accuracy results. We estimate PSS service costs using both the literature and a market study with questionnaires from private companies in PA. Our analysis indicates that diffuse reflectance spectroscopy (DRS) can estimate the greatest number of soil properties with high accuracy among the PSS techniques. Popular DRS applications include determining soil organic matter, nutrients, and soil texture. X-ray fluorescence (XRF) is the second-most popular technique for estimating soil properties. XRF is widely used in the field to determine elemental concentrations. On-the-go techniques such as electromagnetic induction (EMI) or gamma-ray spectroscopy (γ-ray) yield lower accuracy than point-based techniques. They are widely used by companies because they can delineate PA management zones in the field and are suitable for on-the-go mapping of soil properties such as mineralogy, texture, salinity, water content, cation exchange capacity, and soil depth. The combined use of PSS techniques generally doesn’t outperform the singular application, although the number of samples collected for calibration and the specific combinations of sensors, covariates, and modeling techniques, when correctly applied, may enhance the predictions of soil properties using PSS techniques applied singularly. These outcomes tend to depend on local site characteristics.

According to data, the estimated cost of surveying a hectare with PSS oscillates between 15.5€/ha and 130€/ha, whereas our company survey yielded an interval of 142-362€/ha. Price variability was influenced by personnel costs, fieldwork, data and reporting, sample analysis, and equipment. Increases in final prices can be attributed to accessibility and difficulties related to fieldwork and travel to the area of interest. This work aims to serve as a reference for the adoption of sensing technologies by farmers, policymakers, and companies, providing insights into the suitability of different PSS techniques for soil mapping, their associated costs, and what is available in the market. We foresee that PSS will become the standard approach for producing high-resolution maps and affordable soil property information in the future.

 

Acknowledgments

Work funded by the European Union’s Horizon 2020 Research and Innovation Program under Grant Agreement Nº 862695, and from the Tillämpninggsklivet Precisionsodling RUN 2021-00020 Region Västra Götaland

How to cite: Lozano Fondon, C., Lorenzetti, R., Barbetti, R., Metzger, K., Buttafuoco, G., Özge Pinar, M., Madenoğlu, S., Sandén, T., Gholizadeh, A., Stenberg, B., Fantappiè, M., van Egmond, F., Liebisch, F., López Núñez, R., Knadel, M., and Koganti, T.: Accuracies and costs of prediction and mapping soil properties using proximal sensors: A systematic review, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19447, https://doi.org/10.5194/egusphere-egu26-19447, 2026.

EGU26-19940 | Orals | SSS12.2

Selecting methodology for the Soil Monitoring Law in Flanders (Belgium) 

Fien Amery, Karlien Cheyns, Kristof Tirez, Tommy D'Hose, Jane Debode, Sarah Garré, Katrien Oorts, Joost Salomez, and Martine Swerts

The Soil Monitoring Law gives some freedom to the Member States in the choice of the methodology for the measurement of the soil descriptors. For the setup of the soil monitoring in Flanders (Belgium) possible measurement methods have to be evaluated based on their scientific value, cost and practical feasibility. Also alignment with measurement methods in other European Member States and, if relevant, validated transfer functions to link to the reference methodology, are to be considered during this selection process.

Commissioned by Department Omgeving of the government of Flanders, the selection process is taking place from January to July 2026 in two phases. Soil biodiversity will be included in this project, but methods for soil contamination are not. In the first phase, extensive information is gathered for each soil descriptor regarding the reference method, CEN method, and alternative methods. This will include aspects such as replicability, current use in Flanders, practical implications for sampling and logistics, synergies with other soil descriptors and methods in other member states, the existence of validated transfer functions, environmental and health considerations, and more. This information will assist in the selection of the most appropriate method for every soil descriptor by the steering committee. If a final selection cannot be made, an alternative may be considered as well.

In the second phase, one or more scenarios for soil sampling, sample preparation and analysis will be developed based on the combination of all selected most appropriate methods (and possible alternatives). Based on the scenario(s), implementation packages and sub-packages will be defined that can be carried out by a sampling team or laboratory. Prices for these (sub)packages will be requested to minimum three laboratories.

At the conference, an overview of the status and progress of the selection process of the methodology for soil monitoring in Flanders will be provided.

How to cite: Amery, F., Cheyns, K., Tirez, K., D'Hose, T., Debode, J., Garré, S., Oorts, K., Salomez, J., and Swerts, M.: Selecting methodology for the Soil Monitoring Law in Flanders (Belgium), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19940, https://doi.org/10.5194/egusphere-egu26-19940, 2026.

EGU26-20719 | Orals | SSS12.2

The Soil Monitoring Law between the preparation of the law and the path to national implementation. Reasoning for the Italian case  

Francesca Assennato, Elisa Mariani, Antonella Vecchio, and Riccardo Stupazzini

The Soil Monitoring and Resilience Directive represents a crucial step to create a unified legal system for soil protection, addressing its sustainable management and the remediation of contaminated sites, focusing on the ecological, climatic and health importance of soils, their role in biodiversity and carbon storage capacity. The Directive offers margins of autonomy to the Member States to define their monitoring system, the methodologies and threshold values and the parameters to be monitored, in particular on contamination. The contribution aims to provide a framework of the national preparations under the coordination of the Italian Ministry for Environment and Energy Security and identify the main needs for national adaptation.

Soil resilience requires an organic discipline, currently lacking, to address both the adoption of sustainable soil management practices, in harmony with agricultural policy and spatial planning, and land consumption in a systemic way by addressing divergences between local systems.

The transposition of the Directive in Italy requires the introduction of a new regulatory framework, which complements the updating of Legislative Decree no. 152/2006 and other sector regulations, to include a more integrated approach to soil protection, for the purposes of harmonization with national law and a more effective pursuit of the objectives of the Directive.

The approach adopted by Italy on the development of the standard has highlighted the intention to address the issue of soil in an integrated way, offering equal dignity with respect to other environmental resources already regulated.  This involves a commitment to transversality and affirmation of the Directive's ambitious long-term goal of achieving healthy soils by 2050 as a priority in environmental action taking into account pressures on soils, the level of soil degradation and loss of ecosystem services, the assessment and management of risks posed by contaminated sites, soil sealing and removal, and the growth of settlement areas.

The preparations of the legislative process are underway to deal with the transposition, with the first urgencies in particular concerning:

  • Ensure strategic guidance and coordination between the Administrations involved that ensures appropriate mechanisms for the adoption of a system of policies and measures to support soil health and resilience based on monitoring and scientific knowledge;
  • Ensure the effectiveness of the monitoring system and a sufficient level of harmonization throughout the national territory;
  • Identify soil units and determine the number and location of sampling points based on the best available information to reflect the high variability of soil, climatic and environmental characteristics of the national territory;
  • Identify the human, instrumental and financial resources needed to implement the Directive;
  • Define ways to engage with the public and to provide information at local level on measures and practices to increase soil resilience public participation and to encourage and support landowners and managers to improve soil health and resilience and facilitate such improvements by landowners and managers.

How to cite: Assennato, F., Mariani, E., Vecchio, A., and Stupazzini, R.: The Soil Monitoring Law between the preparation of the law and the path to national implementation. Reasoning for the Italian case , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20719, https://doi.org/10.5194/egusphere-egu26-20719, 2026.

EGU26-21340 | Orals | SSS12.2

Combining results from different monitoring systems in a statistically robust manner 

Joris Stuurop, Martin Knotters, and Fenny van Egmond

The EU Directive on Soil Monitoring and Resilience (SML) asks EU Memberstates to design a national soil monitoring scheme to assess soil health in their country and report the results to EU. The spatial sampling design needs to adhere to “The sampling scheme shall be a stratified random sampling optimised on the best available information on the variability of soil descriptors, and the stratification shall be based on the soil units established in accordance with Article 4(2). Sampling points related to measurements referred to in Article 9(4) may be taken into account partly or completely in the sampling scheme, regardless of their design.” as stated in Annex II Part A of the SML. This means that it is allowed to use existing monitoring campaigns and designs in a new design for the SML. This can be desirable for efficiency reasons, to maintain an existing monitoring frequency, allow trend analysis etc. A question that then needs to be answered is how points or results from different spatial sampling designs can be combined in a statistically valid and meaningful manner. To assess this, an inventory of national and regional soil monitoring campaigns in the Netherlands was performed, including their sampling design, number of points, locations, etc. This was classified to types of sampling design. A set of rules was set to choose the most appropriate statistical method, including an evaluation of appropriate statistical inference of data from various soil campaigns. A test with actual monitoring campaigns was performed to evaluate the performance of compiled methods. The results of this exercise are used to test different options or variants for designing the soil sampling design for SML implementation in the Netherlands in an assignment for the responsible ministry in the Netherlands.

How to cite: Stuurop, J., Knotters, M., and van Egmond, F.: Combining results from different monitoring systems in a statistically robust manner, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21340, https://doi.org/10.5194/egusphere-egu26-21340, 2026.

EGU26-22396 | ECS | Posters on site | SSS12.2

Trace elements database: An inexpensive tool for monitoring soils and defining reference values 

Pauline Pueyo, Nicolas Saby, Antonio Bispo, Hélène Roussel, and Jean-Marc Bonzom

About 250,000 soil-tests are performed in France each year at the request of farmers. Tens of thousands of these analyses are carried out as part of sewage treatment plant sludge management (in accordance with the 8 January 1998 decree) and therefore relate to soil trace elements content. The number and diversity of origin of the samples make these soil-test results an interesting and original source of information regarding the variability of cultivated topsoil.

Since 1998, the national BDETM programme (database on trace metal elements) has been compiling the results concerning the trace metal element content (Cd, Cr, Cu, Hg, Ni, Pb, Zn and Se) of these analyses. Agro-pedological data determined on the same samples are sometimes included. Important additional information on the sampling sites (town, geographical coordinates, etc.) and the analyses themselves (laboratory, method used, etc.) is also centralised in the database. These results were collected from various data providers: research laboratories, environment consulting companies, chambers of agriculture, departmental directorates for territories, laboratories and the Ministry for Ecological Transition and Territorial Cohesion. This programme was carried out during three data collection campaigns, initiated by ADEME and conducted by INRAE, in 1998, 2010 and 2025.

Currently, the BDETM contains the results of analyses of nearly 150,000 samples collected over 30 years. Using appropriate statistical procedures, we demonstrate that this type of approach provides an often-underutilised operational tool for obtaining valuable information on the spatial distribution of trace elements levels and their evolution over time.

How to cite: Pueyo, P., Saby, N., Bispo, A., Roussel, H., and Bonzom, J.-M.: Trace elements database: An inexpensive tool for monitoring soils and defining reference values, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22396, https://doi.org/10.5194/egusphere-egu26-22396, 2026.

EGU26-22403 | Posters on site | SSS12.2

SoilHarmony : Towards a harmonised pan-European monitoring of soil health descriptors 

Antonio Bispo, Emile Maillet, Maria Fantappie, Elena Tondini, Chiara Piccini, Lucas De Carvalho Gomes, Mathieu Lamandé, Johanna Wetterlind, Claudia Cagnarini, Bruno De Vos, Hans Van Calster, Bruno Huyghebaert, Julien Herinckx, Fenny van Egmond, Jesper Emborg, Marion Beguerie, and Julie Signoret

The project SoilHamony aims at developing transfer functions (TF) and pedotransfer functions (PTF) to support the implementation of the soil monitoring law (SML) and the EU Carbon Removal and Carbon Farming (CRCF) Regulation. It will also align with the EU mission: a soil deal for Europe, by supporting the development of a harmonized framework for soil monitoring in the EU towards healthy soils. TF will allow converting data obtained using national methods into those defined in the SML. The project will identify and collect existing source data, including archived samples, and existing derived and validated TF and PTF in a FAIR by design process. TF and PTF will be developed for main soil descriptors proposed in Annexe 1 part A to C of the SML. The effect of field sampling methods on the analytical results will also be characterized and recommendations to consider differences in methodologies will be provided. The TF will be validated with 4000 samples covering at least 21 MS and 80% of the EU land surface area with good representativeness of the various land uses. PTF will be validated without additional sampling but with new data to be collected from partners. The project will determine and operationalise the most reliable statistical methods for deriving TF and PTF. SoilHarmony will give access to the validated TF and PTF to all the entities responsible for the SML implementation and relevant stakeholders in an interoperable manner. A FAIR metadata catalogue and a soil database will efficiently gather already existing and newly acquired knowledge and data as DOI referenceable (meta)datasets. A converter toolbox will be freely available and composed of a back-end R package with built-in statistical methods and a user-friendly web application that will allow converting directly the national data into SML compliant data. MS will be actively involved in the construction through the 28 partners and their network, efficiently managed to maximise uptake of the results.

How to cite: Bispo, A., Maillet, E., Fantappie, M., Tondini, E., Piccini, C., De Carvalho Gomes, L., Lamandé, M., Wetterlind, J., Cagnarini, C., De Vos, B., Van Calster, H., Huyghebaert, B., Herinckx, J., van Egmond, F., Emborg, J., Beguerie, M., and Signoret, J.: SoilHarmony : Towards a harmonised pan-European monitoring of soil health descriptors, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22403, https://doi.org/10.5194/egusphere-egu26-22403, 2026.

EGU26-23284 * | Orals | SSS12.2 | Highlight

The EU Soil Monitoring and Resilience Directive implementation 

Mirco Barbero, Christian Probst, Bavo Peeters, and Esther Goidts

Now the EU Directive on Soil Monitoring and Resilience is adopted and has entered into force. This is good news for everybody because healthy soils can be essential allies for addressing our challenges and ensuring our quality of life. But the difference will be made, or not, by the implementation of the law together with the other soil-related elements of NRR. This is a major challenge to which everyone is called to contribute and cooperate.

The text of the law sets a close cooperation between Member States and the Commission and the EEA. Another essential cooperation needed is between soil competent authorities, policymakers and science: indeed, there are several knowledge gaps still to be filled in that are key for an effective implementation.

So it is strategic and urgent to reach a common understanding between science and policy of which are, in very concrete terms, the specific knowledge elements needed for an effective implementation and how science and research can timely contribute. As examples, just consider the expected knowledge repository on the effects of soil management practices on soil health; the refinement of soil health criteria and descriptors; the wealth of supporting tools and documents to be developed to support Member States; the capacity building that will be needed in Member States among others to make fruitfully sense of all the data that will be produced. And the open question is: how to best realise this?

How to cite: Barbero, M., Probst, C., Peeters, B., and Goidts, E.: The EU Soil Monitoring and Resilience Directive implementation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-23284, https://doi.org/10.5194/egusphere-egu26-23284, 2026.

Disaster and risk management has been a very necessary field of both debate and action initiatives in today tricky consequences of climate change. While some regions of the earth are affected by heavy drought, other regions are affected by heavy rains that cause damages on infrastructure, economy, ecosystem and human lives. This contribute to vulnerability of cities.

Nowadays, in many cities of DR Congo, there is increasing of flooding risk and hydrological risk associated like erosion, gully erosion. In DR Congo (a tropical context) the months of November and December and between January and April, heavy rains use to occur and cause severe damages to people and theirs goods in vulnerable zones for instance the  major river basin. Before the end of 2023 from December 24 to December 29, 2023 episodes of rains affected Bukavu and DRC cities like Kananga and Kinshasa. The different episodes of flooding raise the question of risk management. In this process a necessity to consider geoethics as interconnection of geosciences with social, philosophy, and politics may allow to reinforce the debate on flood risk management.

Taking account of the precedent issues, it is important to question: in which way geoethical values can help to understand the link between population representation and perception of flooding risk and disaster management in Bukavu, DR Congo? To respond to this, this reflection will scrutinize in one hand, the geoethical principles as the basis of understanding of flood risk perception and representation in Bukavu and on the other hand, it will analyze the implication of different actors in the awareness building on disaster management.

The investigation concerning population representation and perception of flood risk, will better inform on people resilience and adaptive actions and how they cope with their natural risks impacts. In this reflection, we bring into the consideration of geoethical values to better understand population representation and perception of flood risk.

Key words: Disaster and risk management, Geoethics, Flood risk, Geoethical values or Geoethical principles, Bukavu, DR Congo

How to cite: Nshokano Mweze, J.-R.: Geoethical Consideration in the Understanding of Population Representation and Perception of Flooding Risk Management in Bukavu, DR Congo, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-36, https://doi.org/10.5194/egusphere-egu26-36, 2026.

EGU26-195 | Orals | EOS4.1

Paving the way for geoethics pedagogy in Ghana: what students’ geoethical reasoning reveals 

Samuel Nyarko, Yvonne Loh, Maame Opokua Debrah, and Gwyneth Gebhart

The fragmented way ethics is currently taught in geoscience, often limited to narrow issues such as academic honesty, plagiarism, or research integrity, demonstrates the urgent need for a dedicated pedagogical framework to ensure that students understand the deeper social responsibilities and ethical implications of geoscience research and practice. In Ghana, the lack of empirical research on how students understand and apply geoethical principles necessitates the design of curricula that match students’ conceptual readiness and learning needs to address this gap. Without this evidence, it is also difficult to identify contextual examples that connect geoethics to students lived experiences.  Thus, in this study, we use relational ethics theory to assess how students perceive the relevance of geoethics in geoscience research and practice and how they take responsibility for ethical decisions, which is an essential step for designing deliberate, contextual, participatory, reflective, and proactive curricula. Through a sequential explanatory mixed methods design that used 193 surveys and 11 theoretical interviews, we identified that almost half (45.6%) of Ghanaian students were unaware of the ethics applied to the geosciences. Students also mostly conceptualized geoethics as a set of codified guidelines and principles, emphasizing truthfulness, integrity, and respect. However, over 62% held the belief that ethical behavior preserves reputation, while violations erode respect, reflecting how geoethics is being internalized as reputation management rather than as a framework for navigating complex societal and environmental relationships. Similarly, the majority of students emphasis of geoethics as personal conduct rather than societal and environmental responsibilities indicates a gap in how students conceptualize these relationships. Finally, although 76% of students showed awareness of geoethics in sustainability and geoheritage, their emphasis on economic and cultural preservation benefits suggests that they may view community engagement and stewardship as instrumental goals rather than long-term ethical responsibilities rooted in reciprocity and accountability. We also provide pedagogical approaches that move beyond rule-based compliance and help students appreciate geoethics as a framework for engaging with communities, negotiating values, and making informed and responsible decisions in complex settings.

How to cite: Nyarko, S., Loh, Y., Opokua Debrah, M., and Gebhart, G.: Paving the way for geoethics pedagogy in Ghana: what students’ geoethical reasoning reveals, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-195, https://doi.org/10.5194/egusphere-egu26-195, 2026.

EGU26-387 | ECS | Posters on site | EOS4.1

From play to principle or not: Geoethical aspects of climate change simulation/games 

Pimnutcha Promduangsri, Nicolas Becu, and David Crookall

Climate change (CC) is a global challenge.  It requires communication to drive societal action (IPCC, 2022).  However, conveying the complexity of climate science and its socio-economic implications remains difficult.  One method that is increasingly being used to communicate and educate about CC is simulation/games, a global activity.  The question that arises is: Are CC games geoethical, and in what ways?

The field of geoethics provides a powerful framework for attempting to answer this question.  Geoethics holds that geoscientists have an ethical responsibility to communicate knowledge accurately and responsibly (Peppoloni & Di Capua, 2022).

This presentation reports the findings of a study analysing CC simulation/games.  Our research has highlighted important deficits in existing resources, deficits that can be qualified as unethical or wanting geoethically.  More specifically, we have identified three areas that raise geoethical concerns in regard to three aspects of CC simulation/games.  These are:

  • Design and implementation of CC simulation/games.  This includes the unethical absence of structured debriefing materials and guidelines essential for geoethical communication.
  • CC content of simulation/games.  This includes the unethical omission of certain CC topics in the simulation/games that we examined, for instance, climate justice and health.
  • Geoethical issues.  This is the total absence of any discussion or treatment of the geoethics of CC.

We also offer recommendations for improving the geoethics of CC simulation/games.

How to cite: Promduangsri, P., Becu, N., and Crookall, D.: From play to principle or not: Geoethical aspects of climate change simulation/games, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-387, https://doi.org/10.5194/egusphere-egu26-387, 2026.

EGU26-1463 | Posters on site | EOS4.1

Designing Geoethics for Cultural Milieus: The Inverse Problem 

Martin Bohle

Studies in geoethics offer normative frameworks for the responsible conduct of geoscientists and citizens in their interactions with Earth's telluric aspects [1]. While the expression telluric aspects refers to the material attributes of the planetary habitat, e.g., the lithosphere, hydrosphere, atmosphere, and cryosphere, the related expression tellurian aspects refers to Earth & World, including agents, institutions, and norms. Witnessing planetary-scale anthropogenic change, geoethics configure tellurian practices, that is, how people construct human niches within the planetary habitat. Hence, geoethics mediates between Earth-system knowledge and moral–political judgment, i.e., geoethics are epistemic–moral hybrids [2].  

Applying systemism and scientific realism as philosophical guidance, the design principle of geoethics is derived: consistent philosophical insights and geoscientific insights combine to geoethical tenets ({T_j}). Tellurian practices ({A_{j,k,i}}) emerge when a social group (V_k) applies geoethical tenets ({T_j}) to a given telluric attribute of the planetary habitat, i.e., a geoscientific issue (G_i). The regular problem of geoethics is posed: given ({T_j}) and (V_k) tellurian practices ({A_{j,k,i}}) are deduced for handling (G_i). These practices are means–end complexes specified by an axiology underpinning the philosophical insights, for example, human flourishing (knowledge, welfare, liberty, solidarity, justice). However, conflicts arise in plural societies because groups (W_m) may not accept the geoethical framing ({T_j}) and therefore enact practices ({B_{j,m,i}}) for (G_i). Subsequently, the inverse problem of geoethics is posed: given a desired practice ({A_{j,k,i}}) for a specific geoscientific issue (G_i), which geoethical framing would different cultural milieus be willing to embrace?

To operationalise insights into the inverse problem of geoethics, a typology of symbolic cultural universes, i.e. milieus, is used. These milieus differ in how they interpret "what the world is" and "what ought to be done". Subsequently, these milieus also vary in the uptake of geoethics (high, moderate, partial, or low) and the ways they deal with it (rules, trusted brokers, inclusion mechanisms, or defensive closure). How to tackle 'managed retreat' in response to the predicted rise of global mean sea level illustrates how the inverse problem of geoethics becomes practically urgent [3]. Its systemic relevance arises from understanding the planetary habitat as a single, integrated Earth System [4], which establishes that worldviews, cultures, philosophies, and ethics themselves must be treated as endogenous system attributes. Hence, variants of geoethics designed for cultural milieus are urgently needed to drive just and effective tellurian practices.

  • Peppoloni S, Di Capua G (2021) Current Definition and Vision of Geoethics. In: Geo-societal Narratives. Springer International Publishing, Cham, pp 17–28
  • Potthast T (2024) Epistemic-Moral Hybrids as a Heuristic for Normative Epistemology in Practice. In: Flemmer R, Gill B, Kosgei J (eds) Proximity as Method. Routledge India, London, pp 68–77
  • Bohle M, Marone E (2022) Phronesis at the Human-Earth Nexus: Managed Retreat. Front Polit Sci 4:1–13. https://doi.org/10.3389/fpos.2022.819930
  • Nightingale AJ, Eriksen S, Taylor M, et al (2020). Beyond Technical Fixes: climate solutions and the great derangement. Clim Dev 12:343–352. https://doi.org/10.1080/17565529.2019.1624495

 

How to cite: Bohle, M.: Designing Geoethics for Cultural Milieus: The Inverse Problem, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1463, https://doi.org/10.5194/egusphere-egu26-1463, 2026.

Emerging biological approaches to climate intervention raise core geoethical questions as synthetic biology advances toward the release of engineered cyanobacteria and other organisms designed to enhance carbon sequestration. As biogeoengineering moves toward field-scale deployment, geoscientists will increasingly be responsible for modeling, assessing, and monitoring impacts across ocean biogeochemistry, ecological networks, and Earth-system processes. Because living organisms can reproduce, evolve, and spread unpredictably across ecological and political boundaries, biogeoengineering demands a dedicated geoethical framework distinct from those used for conventional, non-living geoengineering interventions.

This contribution offers an anticipatory geoethical framework for living climate interventions, drawing on comparative insights from biotechnology regulation, environmental law, and international maritime law, which provides both jurisdictional complexity and a normative anchor for geoethical oversight of ocean-based interventions. Its novelty lies in integrating governance approaches from biotechnology and geoscience, foregrounding Global South perspectives and Indigenous epistemologies, and specifying concrete geoscientific responsibilities that must accompany biological climate interventions. The framework identifies four interdependent governance mechanisms that can be built upon existing international treaties to create enforceable, rather than voluntary, accountability. These mechanisms include liability rules to address transboundary harm and geo-colonial risks; mandatory impact assessments that integrate ocean biogeochemistry, ecological modeling, and biosafety analysis; conditional authorizations tied to geoscientifically informed thresholds of environmental safety; and shared-governance structures determining who holds authority to release engineered organisms into international waters or manipulate ocean ecosystems.

These mechanisms depend on active engagement by geoscientists, whose professional obligations must extend beyond traditional observational roles. Geoscientists must establish baseline environmental conditions, design monitoring networks capable of detecting unintended ecological cascades or genetic dispersal, model uncertainties across interconnected ocean systems, and communicate risks transparently. Because biological interventions interact with complex marine processes that are only partially understood, these responsibilities also include ethical deliberation and the co-production of monitoring criteria with affected communities. Meaningful inclusion of local and Indigenous knowledge systems is essential to ensure that populations most vulnerable to potential harms exercise real, rather than symbolic, influence over decisions that may affect their environments and livelihoods.

The Cartagena Protocol’s procedures for the transboundary movement of genetically modified organisms provide an important precedent for biosafety oversight. Yet extending these principles to biogeoengineering requires clarifying whether climate-intervention organisms fall within existing definitions or necessitate new regulatory provisions, particularly given their release into maritime spaces governed by complex jurisdictional regimes. Given risks of ecological cascades, genetic contamination, and unequal distributions of harm across regions, binding safeguards are necessary for any intervention that modifies ocean ecosystems through engineered microbes or biologically driven processes.

By articulating a pathway for just and responsible stewardship, this framework advances SDG 13 (Climate Action), SDG 14 (Life Below Water), and SDG 16 (Strong Institutions). It also contributes directly to responsible geoscience practice by offering foundations for future codes of conduct, funding criteria, and international decision-making norms. Ultimately, it shifts the central question from whether to intervene to how to govern such interventions ethically, equitably, and with full recognition of their planetary-scale implications.

How to cite: Greenbaum, D.: Toward a Geoethical Framework for Living Climate Interventions under International Maritime Law, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1493, https://doi.org/10.5194/egusphere-egu26-1493, 2026.

EGU26-1584 | ECS | Orals | EOS4.1

Towards Inclusive and Ethical SRM Governance in Pakistan: Bridging Policy Gaps and Global South Representation  

Abdul Waheed, Athar Hussain, Hassaan Sipra, and Kanwal Latif

Solar Radiation Modification (SRM) is a promising yet controversial climate intervention with complex scientific, ethical, legal, and socio-political implications. Effective governance is essential to  address these challenges prior to any experimentation proceeds, particularly for countries in the Global  South, like Pakistan, where SRM could have profound public health and governance impacts. Global governance discussions are largely driven by Global North institutions, which often marginalize the  concerns of the Global South. This study assesses Pakistan's readiness for SRM governance by analyzing  the coherence of its existing climate change and health policies, alongside expert perceptions. Using a mixed-methods approach, including policy content analysis, expert focus group  discussions, and stakeholder engagement workshops to facilitate deliberation among policymakers, scientists, health professionals, legal experts, civil society, and youth. Additionally, the study analyzes 14 climate change and health policies and gathers feedback from 49 experts through workshops and roundtable discussions. Preliminary policy analysis findings highlight critical gaps in Pakistan’s Climate Change and Public Health governance, current policies fail to address SRM, lack cross-sectoral coordination, and do not include adequate risk assessments, stakeholder engagement, or ethical safeguards. Despite the presence of key policy instruments, Pakistan is unprepared for SRM research, reinforcing global power asymmetries between the Global North and Global South.   The feedback from 49 experts highlights key gaps in Pakistan's Climate Change and Public Health governance, with 53% reporting no prior involvement in SRM projects, underscoring a lack of expertise. 51% viewed SRM as having a moderate role in addressing health challenges, yet no experts saw it as a significant solution. 55% and 61% identified government ministries and provincial departments as crucial for SRM integration, while 39% emphasized the importance of NGOs and civil society. Despite 57% rating existing coordination between health and climate sectors as effective, unclear roles, insufficient resources, and limited capacity remain key barriers. The need for clear institutional mandates (35%) and cross-sectoral coordination (37%) was also stressed, highlighting critical gaps in SRM policy governance.  Experts emphasized the need for stronger coordination between government ministries, NGOs, and civil society, alongside clear institutional mandates, capacity-building, and funding for SRM related research. The analysis of policies further reveals the lack of alignment between climate change and public health frameworks, with experts highlighting the need for better integration and local capacity for research and monitoring.In conclusion, our finding emphasizes the importance of inclusive dialogue, ethical oversight, and institutional reform to ensure that Pakistan—and the broader Global South—are not excluded from shaping global SRM governance. The study argues for Global South representation, the integration of health and ethical considerations into SRM policy, and the establishment of participatory decision-making structures to promote fair, scientifically informed, and accountable governance at both national and international levels.

How to cite: Waheed, A., Hussain, A., Sipra, H., and Latif, K.: Towards Inclusive and Ethical SRM Governance in Pakistan: Bridging Policy Gaps and Global South Representation , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1584, https://doi.org/10.5194/egusphere-egu26-1584, 2026.

EGU26-1607 | Posters on site | EOS4.1

A Systemist’s and Agathonist’s Take on Geoethics 

Eduardo Marone, Luis Marone, and Martin Bohle

Geoethics is an epistemic-normative practice that dynamically integrates geoscientific knowledge with ethical reasoning to guide tellurian entanglements of people and Earth. It highlights agency, virtue, responsibility, and knowledge as core tenets1. When geoethical thought is extended to public issues, it supports civic participation while maintaining its foundation in Earth System Science2,3.

Analysing geoethics through the prism of systemism, scientific realism, praxeology (means–end analysis), and agathonism (human flourishing), this study explores mutual conceptual alignments of geoethical practice and Mario Bunge’s philosophical program4,5:

  • Systemism holds that every entity is part of a system, composed of components, relations, and mechanisms across levels, including non-mechanical ones such as algorithms or LLMs.
  • Scientific realism & fallibilism: truth is objective but partial; knowledge grows by conjecture, test and error correction.
  • Praxeology (means–end): responsible action pursues value-guided ends using empirically supported means, with consequences assessed—including long-term effects—and endorses equality, liberty, democracy, solidarity, justice, and competence for institutions.
  • Axiology—Agathonism: ethics aims to promote human flourishing (health, knowledge, solidarity, justice, freedom), rejecting radical moral relativism while allowing contextual trade-offs. Bunge, drawing in part on Max Weber, rejected the idea of an absolute moral code and developed a humanist ethics that evaluates actions by their consequences, integrating commitments to truth and human well-being. His central maxim—“Enjoy life and help others live”—unites personal and collective flourishing.

Initially, systemism reframes agency as capabilities embedded in multi-level socio-ecological systems, requiring explicit description of components, relations, and feedback across scales. Realism and praxeology upgrade virtue and responsibility from personal dispositions to rule-governed routines, such as open data, code and access, registration of interests and affiliations, independent replication, reviews, and audits. Finally, agathonism specifies non-relativist ends (knowledge, welfare, liberty, solidarity, justice) and converts universal rights into side-constraints and metrics for practical trade-offs.

A proposed alignment checklist follows:

-System model (Are components, relations, and cross-scale mechanisms explicit?),

Ends–means coherence (Do chosen means have evidence for and safety given uncertainties?),

-Value vector (How are welfare, knowledge, freedom, solidarity, and justice advanced or constrained?),

-Evidence protocol (What are the reproducibility and transparency provisions (data, methods, replication funding)?),

-Participation efficacy (What binding levers do non-expert stakeholders possess, and how is impact measured?),

-Responsibility pathway (Who is answerable for unintended effects, and what are remediation triggers and funds?).

Overall, the proposed conceptual alignment moves geoethical practice from laudable aspirations to evidence-led, publicly justifiable, and purpose-oriented designable mechanisms that support human flourishing within planetary boundaries.

1Di Capua, G., Peppoloni, S., Bobrowsky, P. (2017). The Cape Town Statement on Geoethics. Annals of Geophysics, 60(0), 1–6. https://doi.org/10.4401/ag-7553.

2Bohle, M., & Marone, E. (2022). Phronesis at the Human-Earth Nexus: Managed Retreat. Frontiers in Political Science, 4(February), 1–13. https://doi.org/10.3389/fpos.2022.819930.

3Marone, E. & Marone, L. (2025). Enlightening the Anthropocene through Supradisciplinary Science and Education. In  Dialogues with the Earth Sciences. Bohle M. & Nauen C. eds.  Springer International Publishing 978-3-031-97445-8(ISBN).

4Bunge, M. A. (2001). Philosophy in Crisis: The Need for Reconstruction. Prometheus Books.

5Bunge, M. A. (2006). Chasing Reality (Toronto St). University of Toronto Press. https://doi.org/10.3138/9781442672857.

How to cite: Marone, E., Marone, L., and Bohle, M.: A Systemist’s and Agathonist’s Take on Geoethics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1607, https://doi.org/10.5194/egusphere-egu26-1607, 2026.

EGU26-1745 | Posters on site | EOS4.1

A Geoethics-Informed Flow Process for Applying the Relational Geoscientific Pragmatism (RGP) Framework 

Giuseppe Di Capua and Silvia Peppoloni

Geoethics examines the ethical, cultural, and social dimensions of human interaction with the Earth system, promoting responsible and sustainable stewardship (Peppoloni and Di Capua, 2022, https://doi.org/10.1007/978-3-030-98044-3). To address escalating global socio-ecological crises, the Relational Geoscientific Pragmatism (RGP) framework is proposed (Peppoloni and Di Capua, 2025, https://doi.org/10.1007/978-3-032-03754-1_2). RGP advocates context-sensitive, pragmatic solutions that harmonize scientific understanding with ethical principles and societal values, drawing inspiration from Ecological Humanism, a worldview recognizing human-nature interdependence and promoting progress that respects both human needs and ecosystem limits.

RGP is a structured, values-driven pathway designed to respond responsibly to geoethical challenges. Rather than prescribing rigid methods, it operationalizes universal geoethical principles and shared values in ways sensitive to local contexts. By integrating geosciences with social and environmental responsibility, RGP provides guidance for navigating complex practical challenges while ensuring ecological integrity and the well-being of present and future generations.

The RGP framework can be applied through a five-phase flow process that consistently integrates scientific rigor and ethical considerations into decision-making:

  • Phase I: Foundation & Analysis (Geoscience). This phase establishes essential geoscientific and contextual understanding of the challenge. It involves gathering objective, verifiable, and up-to-date data, applying rigorous analysis, and exercising professional judgment. The goal is informed, evidence-based decision-making on issues such as resource management or disaster risk reduction.
  • Phase II: Integration & Scope (Interdisciplinarity). Environmental challenges are inherently complex, requiring holistic approaches. This phase integrates knowledge from geosciences, social sciences, economics, law, and philosophy. Emphasis is placed on relationality between disciplines, structuring interdisciplinary collaboration to address specific geoethical challenges effectively.
  • Phase III: Values & Stakeholders (Relationality). This phase centers social justice by identifying stakeholders, particularly marginalized communities, and clarifying relevant universal principles (dignity, freedom, responsibility) alongside aspirational principles (awareness, justice, respect). Relationality extends to future generations and non-human realms, promoting intergenerational and environmental responsibility.
  • Phase IV: Deliberation & Scenario (Pragmatism). Action-oriented and solution-focused, this phase critically analyzes ethical dilemmas in human-environment interactions. It develops potential future scenarios, evaluating outcomes through the lenses of sustainability, equity, and environmental integrity.
  • Phase V: Action & Evaluation (Pragmatism). The final phase ensures participatory, transparent implementation. Scientists, policymakers, and communities collaboratively assess solutions for technical feasibility and societal alignment, balancing ecological integrity with social well-being.

In conclusion, the RGP flow process provides decision-makers with a systematic methodology for addressing contemporary geoethical challenges. By integrating scientific rigor, ethical reflection, and stakeholder engagement, it fosters conscious, informed, and responsible planetary citizenship.

How to cite: Di Capua, G. and Peppoloni, S.: A Geoethics-Informed Flow Process for Applying the Relational Geoscientific Pragmatism (RGP) Framework, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1745, https://doi.org/10.5194/egusphere-egu26-1745, 2026.

EGU26-1896 * | Orals | EOS4.1 | Highlight

Fostering the ethical use of Artificial Intelligence in the Geosciences 

Paul Cleverley, Mrinalini Kochupillai, Mark Lindsay, and Emma Ruttkamp-Bloem

A set of practical and actionable recommendations for the ethical application of Artificial Intelligence (AI) in the geosciences is presented by the Task Group on AI Ethics in Geosciences under the IUGS Commission on Geoethics. While geoscientists have long used statistical and machine learning methods, the rapid adoption of frontier and generative AI introduces amplified risks alongside opportunities for scientific discovery and productivity. AI holds immense potential to support the UN Sustainable Development Goals (SDGs), for example by predicting natural resource locations, enhancing understanding of deep geological time, and assisting with natural hazard prediction such as earthquakes and landslides.

However, the rapid development and deployment of AI, combined with high-profile ethical concerns, demands clear, actionable guidance. Current high-level ethical frameworks, such as those from UNESCO, lack the practical detail needed for implementation in the geosciences. This report addresses that gap by providing guidance for academic, industry, governmental, and non-governmental geoscientists, society leaders, and policymakers.

The methodology adopted a robust approach informed by Critical Realism—encouraging attention to hidden structures and power dynamics—and Virtue Ethics—focusing on the character of a “good and wise geoscientist.” The investigation combined a literature review, longitudinal analysis of deployed AI systems, and counterfactual future thinking, all triangulated against the UNESCO Recommendations on AI Ethics and the International Science Council (ISC) AI Analytical Framework.

Eight key themes were identified to address current and anticipated ethical challenges in the geosciences. These recommendations aim to foster a responsible, just, and sustainable integration of AI that serves the public good and upholds scientific integrity:

  • Use AI Responsibly: Treat AI as a tool to support, not replace, geoscientist judgment, avoiding fully autonomous decisions that impact people or ecosystems.
  • Promote Transparency and Explainability: Ensure research is open, traceable, and reproducible, with clear disclosure of data sources, limitations, and uncertainties, particularly for “black box” models.
  • Consider Bias and Fairness: Use diverse, representative datasets and actively address biases that could affect marginalized or Indigenous communities.
  • Obtain Informed Consent and Protect Personal Data: Explicit consent is required for AI training data, and a privacy-by-design approach should be applied, especially for sensitive information.
  • Practice Participatory Design and Community Engagement: Engage meaningfully with communities affected by AI outputs, following the principle “Nothing about us without us.”
  • Advocate for Environmental Protection: Weigh the environmental costs of AI (energy, water, e-waste) against its scientific benefits, promoting sustainable practices such as energy-efficient algorithms.
  • Integrity in Science, Publishing, and Education: Disclose AI use in research, verify AI-generated assertions, and ensure AI does not undermine critical thinking or scientific honesty.
  • Consider Geopolitics: International institutions should remain neutral, avoiding endorsement of cloud platforms that centralize data and risk eroding data sovereignty or reinforcing inequities (“algorithmic colonization”).

The report (https://www.geoethics.org/_files/ugd/5195a5_5dcf66f87cca492c958319c3f4cdeffb.pdf) proposes a high-level roadmap for continuous improvement, including practical ethical impact and risk assessments. These recommendations serve as a call to action to safeguard geosciences and ensure responsible stewardship of the Earth.

How to cite: Cleverley, P., Kochupillai, M., Lindsay, M., and Ruttkamp-Bloem, E.: Fostering the ethical use of Artificial Intelligence in the Geosciences, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1896, https://doi.org/10.5194/egusphere-egu26-1896, 2026.

The European Union’s transition to a green, digital, and secure economy depends on reliable access to critical raw materials (CRMs), which are essential for technologies such as batteries, semiconductors, renewable energy systems, and defence equipment. Despite their strategic importance, the EU remains highly dependent on imports, sourcing 65–100% of many CRMs from non-EU countries, often from a small number of geopolitically sensitive suppliers. This concentration exposes Europe to significant economic and strategic risks.

Disruptions to CRM supply chains caused by geopolitical tensions, export restrictions, or trade conflicts could have severe consequences. The policy brief estimates potential annual economic losses of €100–200 billion across manufacturing, transport, and energy sectors. Even a 1% reduction in economic growth linked to supply chain instability would amount to approximately €175 billion in lost value per year. These risks threaten industrial competitiveness, employment, price stability, and the EU’s ability to meet climate and digital transition targets.

To address these vulnerabilities, the brief proposes four strategic policy pillars to strengthen the EU’s resilience to CRM supply disruptions.

The first pillar focuses on securing the value of resources at the point of production. It aims to increase domestic extraction, processing, and recycling of CRMs within the EU and trusted partner regions. Key recommendations include establishing a €500 billion European “Value of Resources” fund, accelerating permitting and co-funding of sustainable mining and refining projects under the Critical Raw Materials Act, and strengthening secondary raw materials markets through harmonised recycling standards and urban mining. Strategic stockpiling, circular economy measures, and the development of regional production clusters are also proposed, with the objective of increasing EU self-sufficiency by 20% by 2030.

The second pillar seeks to align the interests of rights-holders and stakeholders across the CRM value chain. It calls for transparent governance frameworks, including due diligence and traceability requirements under EU legislation, fair benefit-sharing with partner countries through Global Gateway investments, and stronger social licence to operate via robust CSR and ESG practices. Public–private coordination mechanisms, such as CRM roundtables, are recommended to align industrial needs with policy objectives.

The third pillar addresses risk management and opportunity capture. It proposes enhanced risk monitoring through the International Raw Materials Observatory, stronger screening of foreign investments in strategic CRM assets, and increased support for innovation, industrial pilots, and recycling technologies. Blended public and private financing is intended to diversify supply sources and build strategic reserves, reducing disruption risks.

The fourth pillar focuses on safeguarding knowledge, digital infrastructure, and communication. Protecting intellectual property, deploying EU-wide digital traceability systems, investing in skills and research networks, and improving public awareness are seen as essential to maintaining Europe’s technological leadership.

Overall, the brief concludes that CRM dependency represents a systemic risk comparable to energy insecurity. Implementing these four pillars would strengthen the EU’s strategic autonomy, economic resilience, and sustainable growth.

How to cite: Hermann, L. and Marijanski, M.: Four-pillar policy recommendation to increase the European Union’s critical raw material resilience, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2615, https://doi.org/10.5194/egusphere-egu26-2615, 2026.

EGU26-2863 | Orals | EOS4.1

ClimarisQ: What can we learn by playing a game for climate education? 

Davide Faranda, Lucas Taligrot, Pascal Yiou, and Nada Caud

ClimarisQ is both a web- and mobile-based game developed by the Institut Pierre-Simon Laplace to support climate change communication through interactive decision-making. This paper presents an exploratory evaluation of the game based on a post-release questionnaire completed by 77 users. Respondents rated ClimarisQ positively in terms of usability and scientific credibility. Self-reported outcomes indicate that the game mainly supported reflection on the complexity, trade-offs, and uncertainty of climate-related decision-making, rather than the acquisition of factual knowledge, particularly among users with prior expertise. The respondent group was predominantly composed of highly educated and climate-aware adults, which limits generalization to other audiences. These results suggest that ClimarisQ can function as a complementary tool for climate education and outreach, especially when used in facilitated settings that encourage discussion and interpretation.

How to cite: Faranda, D., Taligrot, L., Yiou, P., and Caud, N.: ClimarisQ: What can we learn by playing a game for climate education?, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2863, https://doi.org/10.5194/egusphere-egu26-2863, 2026.

EGU26-4110 | Orals | EOS4.1

Results of the Skeptical Science experiment and impacts on relaunched website 

Bärbel Winkler and John Cook

Skeptical Science is a highly-visited website featuring 250 rebuttals of misinformation about climate change and climate solutions. The rebuttals are written at multiple levels—basic, intermediate, and advanced—in order to reach as wide an audience as possible. Since November 2021, we have collected survey data from visitors, assessing the effectiveness of rebuttals in reducing acceptance in climate myths and increasing acceptance of climate facts. A key goal of misinformation interventions is to increase reader discernment, the difference between belief in facts and belief in myths. While there was overall an increase in discernment, with the decrease in agreement with myths greater than the decrease in agreement with facts, we also found that belief in climate facts decreased for at least some rebuttals - an unwelcome result running counter to Skeptical Science’s goals. Due to the survey design and not collecting any information about why readers selected a specific option, we can only make educated guesses about what may have led to selecting a specific option. In parallel to running the experiment on our website, we have also been working on a website relaunch project which will address some of the shortcomings already identified. One new feature will be the inclusion - where applicable - of logical fallacies used in climate myths, so that rebuttals will include all three elements of a successful debunking: fact, myth and fallacy. In my presentation, I'll also highlight some of the other updated or new features this website relaunch will include.

How to cite: Winkler, B. and Cook, J.: Results of the Skeptical Science experiment and impacts on relaunched website, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4110, https://doi.org/10.5194/egusphere-egu26-4110, 2026.

EGU26-4534 | Orals | EOS4.1

Ecological Moral Voluntarism is a Corollary of Ethical Education 

Jeannine G.M. de Caluwe, Guido J.M. Verstraeten, and Willem W. Verstraeten

Why should humans protect biodiversity? Is it only because nature is beautiful, or because every species plays a role in the ecosystem? Some argue that all living beings have inherent moral value, as proposed by Deep Ecology. However, scientific or philosophical arguments alone are often not enough to motivate people to care about nature. As David Hume suggested, morality is based more on feelings than on pure reason. Protecting ecosystems therefore depends on human choice and moral commitment. Since the Earth cannot defend its own inherent value, caring for the planet ultimately relies on human responsibility.

Both secular and religious forms of ethical education can help develop this sense of care for biodiversity. Secular ethics often emphasize considering the interests of all beings, while monotheistic religions such as Judaism, Christianity, and Islam stress responsibility toward creation through a covenant between humans and God.

To support this moral awareness, we have developed “Noah’s Ark” a cross-cultural and interreligious educational project for primary school children in Flanders. The project aims to encourage respect for all living and non-living parts of the environment and to promote dialogue between different cultural and religious backgrounds, using the story of Noah’s Ark as a shared symbol.

In the first step, children aged 7–8 chose which animals should be allowed on the ark. In addition to familiar and popular animals, they included less attractive species such as spiders, snakes, and bees, as well as animals considered unclean in some traditions, such as pigs. This showed an inclusive view of life.

Next, the children expressed their feelings through drawings of the ark during the flood. Although the storm was frightening, they saw the ark as a place of safety for all life. They then imagined daily life on the ark, which helped them feel connected not only to other humans but also to animals and the natural environment.

Finally, the children shared their thoughts and feelings with one another. This exchange helped them develop new attitudes of care and responsibility toward all life on Earth.

How to cite: de Caluwe, J. G. M., Verstraeten, G. J. M., and Verstraeten, W. W.: Ecological Moral Voluntarism is a Corollary of Ethical Education, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4534, https://doi.org/10.5194/egusphere-egu26-4534, 2026.

EGU26-5020 | Posters on site | EOS4.1

Transformative Agency in Climate Education (TRACE): A Project Linking Climate Literacy, Individual and Collective Action 

Thomas Schubatzky, Sarah Wildbichler, Matthias Fasching, Johanna Kranz, and Giulia Tasquier

Climate change education has made substantial progress in understanding how to foster students’ scientific understanding and individual pro-environmental engagement (Aeschbach et al., 2025; Wildbichler et al., 2025). At the same time, recent research points to a persistent tendency to frame climate action only as an individual responsibility, while collective, strategic, and political dimensions of agency remain underrepresented in formal education (Kranz et al., 2022). This narrow perspective risks depoliticising climate education and limiting students’ understanding of how individual and collective forms of action interact within democratic societies. The Erasmus+-Project TRACE (Transformative Agency in Climate Education) addresses this challenge by developing and empirically investigating an educational design that explicitly integrates individual and collective as well as strategic and political dimensions of climate action. Rather than positioning these forms of agency as competing or hierarchical, TRACE conceptualises them as complementary and mutually reinforcing components of climate action (Otto et al., 2020).

In the project, we develop a digital self-reflection tool that supports students’ metacognitive reflection on different climate mitigation and adaptation strategies, including individual, collective, strategic, and political actions. The tool is not intended to prescribe “better” forms of action, but to make students’ assumptions, uncertainties, stances, attitudes and knowledge gaps explicit and open to discussion. Building on these reflections, TRACE implements a modular student lab in which learners engage with climate science, emissions pathways, and decision-making processes through specifically designed activities. Particular emphasis is placed on connecting personal engagement with collective processes, such as policy-making, institutional change, and democratic participation. The project further investigates how such learning environments can be transferred into everyday school teaching through teacher professional development and open educational resources. By addressing the de-politicisation of climate education while avoiding simplistic dichotomies between individual and collective responsibility, TRACE aims to contribute to empirically grounded design principles for climate education that support informed, reflective, and democratically embedded climate agency.

The contribution presents the overall design and research logic of TRACE, including its theoretical grounding, methodology, and cross-national implementation. Particular emphasis is placed on the self-reflection tool, which is discussed in detail with regard to its conceptual framework, design features, and role within the broader learning environment.

How to cite: Schubatzky, T., Wildbichler, S., Fasching, M., Kranz, J., and Tasquier, G.: Transformative Agency in Climate Education (TRACE): A Project Linking Climate Literacy, Individual and Collective Action, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5020, https://doi.org/10.5194/egusphere-egu26-5020, 2026.

EGU26-5772 | Orals | EOS4.1

An Ethical Framework for Climate Intervention Research: Keeping Pace with Rapidly Evolving Needs  

Billy Williams, Mark Shimamoto, Janice Lachance, Lexi Shultz, and Hisayo Harlan

Climate change requires urgent and coordinated global action. Increasingly, the world is considering technology-based climate intervention approaches, often called geoengineering, for many different potential applications—from terrestrial, to oceans, to stratospheric research areas of interest. Many of these approaches are untested and the consequences are not yet well understood. While climate intervention research has been justified as necessary to expand the range of options available to policy makers in the future, many questions remain on efficacy, risks and potential harm versus potential benefits.

The need for an ethical framework to help guide this area of growing research interest has never been more acute, as both governmental and private sector funding has accelerated in this area over the past 18 months. This presentation will review recent developments in this field of climate geoengineering research and the continued challenges and opportunities for ensuring ethical research governance practices, in addition to the need to address emissions reduction.

We will discuss the foundations for the AGU Ethical Framework Principles for Climate Intervention Research (now available in 10 languages) the key principles, the process by which they were developed, and the ongoing process for global dissemination and engagement.

How to cite: Williams, B., Shimamoto, M., Lachance, J., Shultz, L., and Harlan, H.: An Ethical Framework for Climate Intervention Research: Keeping Pace with Rapidly Evolving Needs , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5772, https://doi.org/10.5194/egusphere-egu26-5772, 2026.

Despite the surge in enthusiasm for regenerative agriculture as a guiding concept, there has been very little conceptual or philosophical literature on the criteria for regenerative agriculture or its underlying rationale. Here, I provide a context-setting discussion of collected works on regenerative agriculture, noting their emphasis on specific agricultural practices rather than theoretical specification or defense of the concept. I then propose an approach that blends an ecological account of renewable elements in agricultural systems into a comprehensive ethics for evaluating alternative configurations of production. Conceptualized in this way, regenerative agriculture offers a framework that integrates two different disciplines—agricultural science and environmental ethics—leading us to a deeper understanding of the challenges and solutions towards more sustainable agriculture. This talk builds on two recent publications in npj Sustainable Agriculture (Congreves 2025a, 2025b) and examines the concept, definition, and philosophy. 

How to cite: Congreves, K.: Regenerative agriculture: searching for meaning via definition and philosophy, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5948, https://doi.org/10.5194/egusphere-egu26-5948, 2026.

EGU26-7672 | Orals | EOS4.1

Meeting the Moment: Sustaining Climate Science and Engagement in Shifting Policy Environments 

Janice Lachance, Brandon Jones, and Mark Shimamoto

Rapid shifts in U.S. climate policy have introduced uncertainty around the continuity of national assessments and participation in international scientific processes, raising concerns about maintaining the evidence-base for informed decision-making. This presentation examines how scientific societies, research institutions, and individual researchers are coordinating across disciplinary and national boundaries to safeguard the integrity and accessibility of climate science during periods of geopolitical and policy volatility. It will highlight collaborative strategies that reinforce resilience across the climate enterprise. These include a new cross-society journal access initiative led by AGU and the American Meteorological Society, designed to ensure uninterrupted global access to peer-reviewed climate . The presentation also explores coordinated nomination pathways and access agreements that enable U.S. -based scientists to continue contributing to international assessment processes, such as IPCC’s Seventh Assessment Report, despite shifting domestic policy priorities. Beyond these examples, the presentation situates these efforts within a broader framework of institutional coordination and transnational scientific networks. By leveraging partnerships across disciplinary and national boundaries, the research community is developing adaptive mechanisms to sustain engagement, preserve scientific continuity, and uphold the principles of open science. These practical models offer a roadmap for global research communities navigating similar disruptions, underscoring the critical role of scientific societies in bridging gaps between research, policy and international engagement.

How to cite: Lachance, J., Jones, B., and Shimamoto, M.: Meeting the Moment: Sustaining Climate Science and Engagement in Shifting Policy Environments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7672, https://doi.org/10.5194/egusphere-egu26-7672, 2026.

EGU26-7691 | Posters on site | EOS4.1

From Training to Action: Building concrete pathways for Workplace Well-Being 

Agata Sangianantoni, Valeria De Paola, Giuliana Rubbia, and Giovanna Maracchia

Geoscientists contribute every day to advancing the understanding of the Earth and to supporting decisions that deeply affect people, communities, and ecosystems. Their responsibility extends beyond scientific excellence stricto sensu: it also involves ethical awareness, attention to social impacts and care for the human dimension of scientific practice.

In this context, training plays a fundamental role in fostering a healthy, safe and efficient working environment by promoting awareness, mutual respect and shared responsibility within the scientific community.

Organizational well-being is commonly defined as an organization’s ability to promote and maintain the physical, psychological and social well-being of its employees. Studies have shown that the most effective institutions are those characterized by satisfied staff and a welcoming, participatory internal climate. Motivation, collaboration, involvement, effective information flow, flexibility and trust contribute significantly to workers’ mental and physical health and, in a research environment, ultimately enhance the quality and societal impact of research. Achieving genuine well-being requires the combined contribution of multiple actors, policies and institutional frameworks.

At the European level, several initiatives and projects have paved the way for the implementation of concrete policies aimed at preventing gender-based violence, harassment and discrimination in research and higher education environments. In parallel, efforts within the Coalition for Advancing Research Assessment (CoARA) seek to reform research evaluation systems toward a more inclusive direction. These reforms aim to recognize a broader range of research outputs and professional profiles, valuing contributions beyond traditional publications, such as datasets, software, teaching, mentorship, and outreach, while striving for more transparent and bias-aware evaluation processes.

Within this framework, this contribution presents the case study of the Istituto Nazionale di Geofisica e Vulcanologia (INGV), a leading Italian Research Institution that has undertaken targeted training initiatives addressing anti-discrimination, mobbing and workplace distress. These initiatives recognize education and capacity building as key drivers for well-being, inclusion, and organizational effectiveness. As part of this approach, two employees have completed dedicated training programs to serve as Confidential Counsellors and are engaged in continuous professional development to remain effective, responsive to emerging challenges, and aligned with evolving social, ethical and organizational contexts. Training has led to tangible outcomes by translating knowledge into practice and activating a collaborative internal network that supports concrete actions toward a healthier and more effective working environment.

Furthermore, a collaborative framework has been established among research institutions to enable the exchange of Confidential Counsellors, fostering mutual support, shared expertise and cross-institutional learning.

This document highlights the results of this cooperative network, emphasizing how the sharing of best practices and ethical principles can provide a robust support system for individuals experiencing harassment or workplace distress.

Synergies among well-being stakeholders have been further strengthened by organizing thematic information days and workshops, contributing to the development of a shared culture of respect and institutional health.

Ensuring dignity and protection in the workplace is not merely a legal obligation but a strategic investment. A research environment grounded in respect, transparency, and care fosters a more responsible scientific community and delivers long-term benefits to society as a whole.

How to cite: Sangianantoni, A., De Paola, V., Rubbia, G., and Maracchia, G.: From Training to Action: Building concrete pathways for Workplace Well-Being, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7691, https://doi.org/10.5194/egusphere-egu26-7691, 2026.

EGU26-8661 | ECS | Orals | EOS4.1

Best practices for geosciences in the time of crises 

Shahzad Gani

Geopolitical crises increasingly determine where geoscientists can work, who may collaborate, and which forms of knowledge are considered appropriate. In response, scientific institutions have refined best practices that enable engagement with war, displacement, and environmental harm while preserving neutrality, excellence, and uninterrupted research activity—without jeopardizing institutional rankings, benchmarking exercises, or global competitiveness indicators.

Three core guidelines are outlined. First, ethical engagement should be articulated through statements, panels, and codes of conduct that acknowledge suffering in general terms while avoiding reference to specific actors, histories, or responsibilities. Second, international collaboration should be promoted in principle, provided it remains compatible with security frameworks, funding rules, visa regimes, journal indices, and ranking-sensitive performance metrics. Third, moral and political tensions are most efficiently managed by delegating responsibility to individual researchers, early-career scientists, and affected communities, thereby allowing institutions to remain impartial while safeguarding reputation, citation aggregates, and position in global league tables.

Taken together, these practices demonstrate how geosciences can continue to produce knowledge during crises while carefully limiting institutional accountability. The framework highlights neutrality not as an ethical position, but as an optimized governance strategy for maintaining visibility, stability, and rank.

This is satire, or is it?

How to cite: Gani, S.: Best practices for geosciences in the time of crises, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8661, https://doi.org/10.5194/egusphere-egu26-8661, 2026.

EGU26-8782 | Orals | EOS4.1

Humanising Natural History Collections: Putting CARE principles into practice in the geosciences in Australia 

Simon Haberle, Annika Herbert, Simon Goring, and Jessica Blois

Australia's natural history collections represent irreplaceable scientific infrastructure that underpins our understanding of deep-time biological and geological diversity and environmental change. As we confront accelerating biodiversity loss and climate change, these collections provide essential baselines for understanding ecosystem responses to environmental stress. Combined with deep temporal perspectives offered by palaeoecological data, in this case held within the Indo-Pacific Pollen Database (IPPD - NEOTOMAdb), this information is particularly valuable for predicting future ecosystem dynamics and informing conservation strategies. This presentation will explore: (i) how Australia’s natural history collections serve as critical infrastructure for systematic palaeoecological research, highlighting their role in preserving Australia's environmental heritage while enabling cutting-edge research into past, present, and future ecosystem dynamics; (ii) pathways to adopt explicit CARE (Collective Benefit, Authority to Control, Responsibility, Ethics) principles that preference Indigenous Data Sovereignty in the governance of the collected biological or geological data; and (iii) examples of ongoing co-designed projects with Indigenous community partners that explicitly preference the rights of Indigenous Peoples to determine how data about them and their lands will be collected and used.

How to cite: Haberle, S., Herbert, A., Goring, S., and Blois, J.: Humanising Natural History Collections: Putting CARE principles into practice in the geosciences in Australia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8782, https://doi.org/10.5194/egusphere-egu26-8782, 2026.

EGU26-10555 | ECS | Orals | EOS4.1

Translating causal models into environmental practice 

Vasileios Sitokonstantinou

Many decisions in agriculture and environmental management now rely on digital information including satellite indicators, reanalysis climate datasets, in-situ sensors and analytics from digital farm platforms. These data are used in predictive models to forecast yields, detect crop stress or classify land use. Prediction is useful, but it does not answer a central question in many decision-making contexts: what would have happened if we acted differently?

Causal machine learning has been proposed as a way to address this gap (Sitokonstantinou et al., 2025). Instead of predicting outcomes, causal ML aims to estimate the effects of policies, management practices or climate shocks and to support decisions about interventions. In my own work, ranging from estimating the impact of humanitarian aid on food security to evaluating the heterogeneous effect of crop practices and digital agricultural advisory services on ecosystem services, causal ML offers a structured way to work with these questions.

At the same time, causal ML raises ethical and epistemic issues that are common across environmental data science. The causal questions that can be asked and the actions that appear reasonable, depend strongly on how socio-ecological processes are translated into variables, interventions and mechanisms. This contribution examines this process of translation in causal ML for environmental and agricultural applications and shows how it is shaped by ontological choices, data availability and institutional priorities.

Ontological choices affect how causal entities are defined. For example, in evaluations of digital agricultural advisory services, “adoption of advice” is often treated as a binary variable. This framing reduces complex farmer decision making, interpretation, partial use, experimentation and risk management, into a single model variable. As a result, the causal effect being estimated reflects the model’s definition of adoption rather than farmers’ actual behaviour.

Data availability further limits what can be studied causally. In analyses of crop diversification or rotation effects, Earth observation metrics such as vegetation indices are often used as proxies for management practices because detailed field level data are unavailable. Consequently, estimated treatment effects capture only the practices that leave a detectable signal in the data, while excluding important management choices that cannot be observed from space.

Institutional priorities also shape causal models. Agricultural research programs and policy initiatives often focus on certain crops or regions that are politically or economically prioritized, leaving smallholder farms or minor crops underrepresented. This means that the causal interventions included in the model reflect institutional focus rather than the full range of agronomic or environmental processes that may be important.

These modelling choices are not mistakes; they reflect real constraints in data and governance. However, they influence how causality, responsibility and intervention are understood. I argue for causal modelling practices that make these translation choices explicit and that pay closer attention to context, plurality and responsibility so causal ML can better support environmental decision-making.

 

Reference

Sitokonstantinou, V. et al. (2025). Causal machine learning for sustainable agriculture. NeurIPS 2025 Workshop: Tackling Climate Change with Machine Learning. https://openreview.net/forum?id=CE5T6BPFBk

How to cite: Sitokonstantinou, V.: Translating causal models into environmental practice, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10555, https://doi.org/10.5194/egusphere-egu26-10555, 2026.

EGU26-10832 | Posters on site | EOS4.1

Geoethics across the Geoscience Curriculum 

Carl-Georg Bank

Practicing geoscience professionals, geoscience researchers, and any informed citizen should be aware of the ethical implications of their actions and intentionally counteract possible negative consequences. This mindset should become more prevalant despite current events. I am convinced that we, the geoscience community, can attract more students into geoscience if they see the ethical dimension of our field. I therefore advocate that instructors of geoscience courses discuss ethics with their students and not leave the teaching of ethical thinking just to dedicated courses that are often taught by philosophers. I posit that students need both a theoretical foundation of ethics, as well as role models that show that we care about ethics and how we address ethical questions in our work, to be able to make informed decisions later. Instructors in any geoscience course can encourage students to think through scenarios, including case studies and wicked problems. Examples range from more general (eg, representation of data, lab group dynamics, credits and authorship, possible conflict of interest) over field-work related and Indigenous questions (eg, inclusiveness, property owners' right to know, land rights, Indigenous knowledge) to politial issues with a geoscience component (eg, ethical mining, including in the deep ocean and space, nuclear waste disposal, green energy, disaster mitigation, cross-border water and resource questions) that can be integrated in overview as well as specialised geoscience courses. By making our students aware of the intersection between geoscience and ethics they will be better prepared to launch a fulfilling career.

How to cite: Bank, C.-G.: Geoethics across the Geoscience Curriculum, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10832, https://doi.org/10.5194/egusphere-egu26-10832, 2026.

EGU26-10881 | Posters on site | EOS4.1

How can education address the planetary crisis and steer it in a positive direction?  

Sjoerd Kluiving, Anouk Beniest, Karen Verduijn, Mario Torralba, Katinka Quintelier, Jorim Tielbeek, Sarah Foster, Lisa Ausic, Anco Lankreijer, Jaro Pichel, Wouter Buursma, Serxia Lagearias, Anders Schinkel, Ivar Maas, Scott Dalby, and Martin Bohle

“Education is the most powerful weapon which you can use to change the world1”. But how can educational methods and contents motivate and steer society in a positive direction, and how do we accelerate the educational reform process?

Here we present tools, projects, and movements from academic curricula, ranging from storytelling and experiential coursework to grassroots initiatives in green education.

  • For the UN climate conference COP28 in Dubai in 2023, students, employees, scientists, climate activists, writers and Indigenous authors spurred climate action beyond its walls and national borders through creative means. The outcome was a fluid book2 calling on politicians, policymakers and organisations to action.
  • At the Amsterdam University College (Netherlands), teachers (re-)designed, taught and coordinated the second-year bachelor course ‘Big Questions in the Anthropocene’. 250 students critically evaluated their planetary relationships and explored new ways to transform and sustain them. An experiential format asked students to design and guide a city-based excursion while reflecting on and reviewing that of their peers’ and developing an independent research project.
  • At the grassroots level, EDI (Equality, Diversion and Inclusion) Committees within the program Earth and Environmental Sciences organised lectures, workshops and information sessions on geoethical topics3. These committees connect through networking like national events, conferences and social media (e.g. ‘Earth Science for All 2025’), informing and activating peers around inclusive, cross-broder scientific collaboration and the deconstruction of colonial practices.
  • Plato’s Garden is a VU’s grassroots cross-faculty educators’ movement with interdisciplinary expertise spanning six VU faculties and collaborating with the University of Twente. The platform promotes and incorporates nature- and art-based pedagogic methods such as forest bathing, ecopedagogy exercises and nature walks into higher education.
  • In line with this, the Sustainability Education Hub is active in integrating sustainability into all VU programs.

The tools mentioned here showcase inspiration and creativity, providing fertile ground for the germination of new identities, ultimately blossoming into hands- and heart-type of activities that embed curricula and (non-)academic communities in nature. The challenge is that all these programs operate more in isolation than in collaboration, lacking an ecosystem to scale these initiatives.

Educational specialists and students need an infrastructure that supports their endeavours. This includes 1) formal embedding within university structures, 2) financial support from host institutes, 3) teachers and students with time to spend on those initiatives, 4) facilitating networking and 5) promoting active implementation in educational curricula.  

To stimulate meaningful transformation, we build on a collectivist approach rooted in existing (non-)academic settings and communities. Its strength lies in the diversity of geoethical practices and themes – such as climate action, digital transformation, and social justice – and their expression through educational programs and grassroots initiatives. Here, the classroom becomes a space of critical engagement, enabling us to confront the climate crisis as an ethical, social, and political condition that demands a lived, justice-oriented responsibility. This, in turn, supports an adaptive transformation toward a resilient and synergistic ecojust education.

1 quote attributed to Nelson Mandela

2 VU 2023, Fluidbook for COP28, www.vu.nl/cop28

3 https://en.wikipedia.org/wiki/Geoethics

How to cite: Kluiving, S., Beniest, A., Verduijn, K., Torralba, M., Quintelier, K., Tielbeek, J., Foster, S., Ausic, L., Lankreijer, A., Pichel, J., Buursma, W., Lagearias, S., Schinkel, A., Maas, I., Dalby, S., and Bohle, M.: How can education address the planetary crisis and steer it in a positive direction? , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10881, https://doi.org/10.5194/egusphere-egu26-10881, 2026.

EGU26-11674 | Posters on site | EOS4.1

Spatial quantification of the impact of the Russo–Ukrainian War on landscape fires and greenhouse gas emissions (2022-2025) 

Sergiy Zibtsev, Roman Vasylyshyn, Rostyslav Bun, Lennard de Klerk, Oleksandr Soshenskyi, Svitlana Krakovska, Linda See, Mykola Shlapak, Volodymyr Blyshchyk, Lidiia Kryshtop, Zoriana Romanchuk, Orysia Yashchun, Eugene Kalchuk, Yuriy Rymarenko, and Iryna Zibtseva

Military conflicts and wars can trigger landscape fires that cover large territories, leading to significant greenhouse gas (GHG) emissions into the atmosphere and reducing the carbon sequestration capacity of the burned forests. Assessing the scale of this negative impact using ground-based methods is impossible due to contamination by Unexploded Ordnance (UXO) and landmines, the constant shelling, damage to monitoring systems, power outages, and a shortage of personnel. To spatially quantify the impact of the ongoing Russo-Ukrainian War on landscape fires, GHG emissions, and reductions in the carbon sequestration capacity of forests, we utilized remotely sensed data from 2022 to 2025 in combination with geoscientific approaches.

First, we identified the fire perimeters using satellite monitoring data and expert estimation. We then classified the burned areas into different land cover types: coniferous forests (Scots pine and spruce) and deciduous forests (common oak, beech, hornbeam, other hardwoods, and softwoods), croplands (wheat, barley, sunflower, and corn), and other landscapes (pastures, shrub vegetation, wetlands, and water vegetation). Using Canadian Fire Weather Index (FWI) for each land cover type summarizing by calendar seasons, we estimated the attribution factor spatially, which identifies the share of landscape fires that were war-related and not caused by natural factors or human activities typical of peacetime. The assumption was that under the no-war scenario, the same weather conditions (FWI) on the same type of land cover and in the same season should cause commensurate areas of fire across Ukraine.

To calculate the biomass losses due to war-related fires, we considered the land cover type, the species and age structure of the forest stands, the distribution of fires according to their intensity based on the differenced normalized burn ratio, their landscape-damaging severity, and the biomass content. On this basis, we estimated the immediate GHG emissions from war-related landscape fires as well as the longer-term biomass losses due to current forest fires and their corresponding GHG emissions.

Finally, we estimated the loss of carbon sequestration capacity in the burned forests and the associated uncertainty in the results achieved. Our study has demonstrated that during the first 3 years (2022–2024) of the Russo–Ukrainian War, the GHG emissions from war-related landscape fires, including forest, cropland, grassland, and wetland fires, have been substantial, and their spatial pattern has been significantly impacted by the location and intensity of the hostilities. The corresponding GHG emissions in the immediate term were estimated to be 14.18 Mt carbon dioxide equivalent (CO2e), and in the future (long-term), the biomass losses due to current forest fires and their corresponding GHG emissions were calculated to be 32.37 Mt CO2e.  

How to cite: Zibtsev, S., Vasylyshyn, R., Bun, R., de Klerk, L., Soshenskyi, O., Krakovska, S., See, L., Shlapak, M., Blyshchyk, V., Kryshtop, L., Romanchuk, Z., Yashchun, O., Kalchuk, E., Rymarenko, Y., and Zibtseva, I.: Spatial quantification of the impact of the Russo–Ukrainian War on landscape fires and greenhouse gas emissions (2022-2025), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11674, https://doi.org/10.5194/egusphere-egu26-11674, 2026.

EGU26-11682 | ECS | Posters on site | EOS4.1

Bridging science and education: The Handbook for Climate Change Adaptation Strategies 

Ana Madiedo Camelo, Ana Matias, A. Rita Carrasco, and Óscar Ferreira

Climate change is increasingly affecting nature and people everywhere. Despite the growing scientific evidence on climate effects, a significant gap persists between the produced scientific knowledge and public understanding. High schools act as critical hubs for climate action by increasing environmental literacy and fostering green skills. In the educational frame, it has been perceived that many teachers lack the tools and resources to confidently address and teach about climate change, its impacts, and adaptation. This study introduces a novel guide designed specifically to train teachers of students aged 12 to 18 on the impacts of climate change and effective adaptation strategies. Structured in a progressive sequence, from basic concepts to adaptation actions, the ‘Handbook for Climate Change Adaptation Strategies’ was developed under the CLARKS, ERASMUS+ project, through a co-creation process. Teachers’ feedback was incorporated to identify specific knowledge gaps and align the content with teaching needs, ensuring that it is understandable for teachers with diverse disciplinary backgrounds. During discussions teachers emphasized the need for the identification of climate change effects in everyday life and the distinction between mitigation and adaptation actions. The handbook was created based on the latest IPCC findings, as well as the European Climate Risk Assessment and other international reports. It focuses on the definition of climate change and how climate-related risks arise from the interplay between climate hazards, vulnerability, exposure, and adaptive capacity.

A target area refers to a system that is affected by climate change and is interconnected with other systems. In this handbook five overarching target areas were considered: ecosystems, food and water, human health, infrastructure, and socio-economics. The handbook describes how each system has been affected by climate hazards and presents proposed lines of adaptation for each target area to address ongoing and expected climate change impacts. These lines of adaptation are based on the national adaptation plans from Finland, Spain and Portugal (ERASMUS+ project partners), as well as on the European Union’s international strategies for climate change adaptation. By integrating scientific knowledge with practical educational guidance, this work contributes to strengthening climate change adaptation literacy across generations and supports the implementation of informed adaptation measures.

 
 
 

How to cite: Madiedo Camelo, A., Matias, A., Carrasco, A. R., and Ferreira, Ó.: Bridging science and education: The Handbook for Climate Change Adaptation Strategies, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11682, https://doi.org/10.5194/egusphere-egu26-11682, 2026.

EGU26-12580 | ECS | Orals | EOS4.1

Worker Co-operative Research Laboratories; An Alternative Model for Ambitious Science 

Jacqueline Campbell, Barbara Bertozzi, Paul Borne--Pons, Alistair Francis, and Mikolaj Czerkawski

Cutting edge scientific research is typically confined to three primary areas: university research groups, institutional laboratories and for-profit industry, each of which have their pros and cons. We had personally experienced the trade-offs researchers must make between scientific interests, economic needs, and personal stability, and wanted to create a different environment in which to carry out our work. That’s why in 2024, we founded the UK’s first worker-owned co-operative research organisation, Asterisk Labs [1], where we apply the principles of democratic worker control to the best aspects of traditional research environments; the freedom and scientific rigour of a university group, the stability and societal impact of institutional laboratories, and the speed of innovation in industry.   

We have no investors or shareholders, and are not-for-profit; all the money we make is reinvested back into the scientists and the science itself. We decide which contracts, awards and grants we apply for and accept, ensuring we are true to our ethical and scientific principles. We have a completely flat structure, meaning there is no CEO or hierarchy; all members are offered directorship, everyone is paid equally, and we make decisions collectively. We share the responsibility of the administrative, legal and financial management of the lab, reducing the cost of overheads, increasing transparency and allowing all members to gain experience in running a laboratory. We have a 4 day work week, remote and flexible working, 38 days leave and a competitive salary and pension, ensuring excellent work/life balance and working conditions. 

We are not the only worker owned research organisation, there are others such as Datlas [2] in France and NWRA in the USA [3]  but we hope to play a small part in showing it is possible to create an alternative structure in which scientists can thrive.

In this presentation we will talk about why we set up Asterisk Labs as a co-operative, how we did it, what projects we are working on, and our commitment to open science. We believe our model inherently lends itself to ethical, equitable and impactful scientific research and better working conditions for scientists. 

 

1. www.asterisk.coop

2. www.datlas.fr

3. www.nwra.com

How to cite: Campbell, J., Bertozzi, B., Borne--Pons, P., Francis, A., and Czerkawski, M.: Worker Co-operative Research Laboratories; An Alternative Model for Ambitious Science, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12580, https://doi.org/10.5194/egusphere-egu26-12580, 2026.

EGU26-14156 | Posters on site | EOS4.1

Building an Ethical and Responsible Workforce: An AI/ML Training Strategy for Earth System Science 

Rebecca Haacker, Thomas Hauser, Monica Morrison, and Mariana Cains

As Earth system science (ESS) institutions navigate the growth of artificial intelligence (AI) and machine learning (ML) in research and teaching, preparing the current and future workforce for AI/ML adoption has largely focused on developing technical skills for scientific applications. Many students, postdocs, and scientific staff are learning to use AI tools faster than they are learning to reflect on their implications. The ethical, societal, and educational dimensions of AI use remain comparatively underdeveloped, with important consequences for scientific integrity, public trust, and the long-term sustainability of research practices. If AI is to strengthen ESS research, we need to support researchers at all career stages, not only in how to use these tools, but in how to use them responsibly. This includes ethical decision-making, responsible data practices, transparency in publishing, and awareness of the environmental and societal impacts of increasing computing needs. This presentation describes a structured workforce development approach at the U.S. National Science Foundation National Center for Atmospheric Research (NSF NCAR) that aims to embed responsible AI education across the ESS research lifecycle, with specific attention to the needs of students, postdoctoral researchers, and early-career staff. The framework is built around three interconnected priorities. The first emphasizes foundational skill-building in ethical literacy, critical evaluation of AI outputs, bias awareness, and responsible data and publication practices. The second focuses on strengthening scientific reliability through training in reproducibility, uncertainty awareness, interpretability, and sustainable computing practices. The third addresses governance and ethical dissemination, establishing institutional structures that support transparency, accountability, and responsible use. We will share examples from NSF NCAR of how ethics are addressed in our training programs. Together, these efforts show how responsible AI education can be integrated into everyday research practice and support an ESS workforce that applies AI with rigor, responsibility, and societal awareness.

How to cite: Haacker, R., Hauser, T., Morrison, M., and Cains, M.: Building an Ethical and Responsible Workforce: An AI/ML Training Strategy for Earth System Science, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14156, https://doi.org/10.5194/egusphere-egu26-14156, 2026.

EGU26-14505 | Posters on site | EOS4.1

Scale matters, but not always by scaling up 

Cornelia E. Nauen

Humans have spread out of Africa into all continents, except Antarctica. Food availability and adaptability to diverse food were drivers for this expansion impacted by geological and climate processes. Humans themselves also shaped landscapes and biodiversity by eradicating many bigger species (Frankopan 2023). The industrial revolution with massive deployment of fossil energy replacing muscle power of humans and domesticated animals increased CO2 and methane emissions. The ‘great acceleration’ after WWII led to the well-known ‘hockey stick’ effect (Steffen et al. 2015). The massive upscaling through industrialisation transformed food production, distribution and consumption. The trend towards standardisation and spatial expansion of industrial agriculture generated increasingly highly processed food. Energy demand per unit output increased on land with reliance on artificial fertilizers, factory farming and intensive pest and disease control. Its pollution of surface, ground and coastal waters, industrial agriculture has contributed to breaching planetary boundaries.

A similar pattern has arisen in marine food production. While the ocean is one huge interconnected ecosystem, local and regional temperature, salinity and habitats create distinct floral and faunal niches. The scaling up of industrial fishing has, similar to earlier trends on land, significantly changed the faunal size distribution. Top predators that maintain marine food webs have declined, e.g. in the North Atlantic to less than 10% of their biomass a century ago (Christensen et al. 2003). Excessive, unselective extractions create waste and shrink global landings serving as nutritious food. Conversely, improved utilisation and management can increase nutritional effects. Here it is argued that phasing out unselective and particularly destructive forms of fishing and replacing them with local, low impact fisheries would climate proof marine harvesting and enhance justice by benefit sharing (Nauen et al. 2025). The appropriate harvesting scale uses basic principles: let juvenile fish grow to maturity; avoid fishing large, old females with the highest reproductive capacity; fish prey less than predators; harvest only what can regrow, shored up by strongly enforced protected areas. Such technical measures should be underpinned by inclusive management practices that are gender aware and value ecological knowledge of small-scale fishers and science. In many coastal areas scaling down or sideways towards local, low-impact, small-scale fisheries offers more cost-effective and environmentally benign, high quality nutrition and other social benefits. Increased ocean literacy combined with attention to social justice are major enabling factors for steering transitions towards viable regenerative food production systems.

References

Christensen, V. et al. (2003). Hundred-year decline of North Atlantic predatory fishes. Fish Fisheries, 4(1), 1-24 https://doi.org/10.1046/j.1467-2979.2003.00103.x

Francopan, P. (2023). The Earth Transformed. An Untold History. London, Oxford, New York, New Delhi, Sydney, Bloomsbury Publishing, 696 p. ISBN 978-1-5266-2255-5

Nauen, C.E. et al. (2025). Voices from the shorelines to navigate the anthropocene. Ch. 9 in M. Bohle and C.E. Nauen (eds.). Cross-Disciplinary Dialogues with the Earth Sciences, https://doi.org/10.1007/978-3-031-97445-8_9

Steffen, W. et al. (2015). The trajectory of the Anthropocene. The great acceleration. The Anthropocene Review, 2, 81-98. https://doi.org/10.1177/2053019614564785

How to cite: Nauen, C. E.: Scale matters, but not always by scaling up, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14505, https://doi.org/10.5194/egusphere-egu26-14505, 2026.

EGU26-17509 | Posters on site | EOS4.1

Sedimentologika 3 years after the opening : reflecting on diamond open access and scholarly-led ventures in scientific publishing  

Camille Thomas, Romain Vaucher, Maria-Cristina Arrieta-Martinez, Domenico Chiarella, Rebecca Englert, Jarred Lloyd, Victor Hême de Lacotte, Marta Marchegiano, Aurelia Privat, and Faizan Sabir

Sedimentologika (e-ISSN 2813-415X) is the community-driven, Diamond Open Access scientific journal dedicated to advancing the field of sedimentology. As a Diamond Open Access journal, the content is freely available to read and share, and the journal is free to publish in.

Sedimentologika is an international, broad-scope journal that publishes high-quality scientific research on sedimentology, stratigraphy, and related fields. The journal accepts research with widely applicable advances in sedimentology, as well as regional case studies of interest to the sedimentology community, regardless of spatial and temporal scales, on Earth or any other planetary body. It also encourages interdisciplinary studies that link sedimentology to geochemistry, palaeontology, microbiology, archaeology, geomorphology, meteorology, hydrology, paleoclimate, tectonics (amongst others), and transdisciplinary studies that encompass sedimentology in society, education, and technology. Finally, Sedimentologika also aims to foster an inclusive and diverse environment within sedimentology, stratigraphy, and related fields (Thomas et al., 2023).

Since its opening in fall 2022, it has published 4 issues and is growing slowly in the sedimentary sciences field. Its growth compares with other newly created and scholarly-led Diamond open access journals, reflecting a community that relies on society journals operating under hybrid or gold open access managed by large for profit publishing companies. While the growth is satisfactory in such environments, it relies on the increasing contribution of researchers, in a system where not all country value the inputs of scholarly-led ventures without impact factor, and where scientific publishing is seen more and more as a service, and less as a joint effort to strenghten a scientific field. In this way, reconsidering editorial, reviewing and copyediting contributions as part of an added value for a scholar career is essential and necessary if fairer modes of publications are to be achieved in a near future.

 

Thomas, C., Privat, A., Vaucher, R., Spychala, Y., Zuchuat, V., Marchegiano, M., Poyatos-Moré, M., Kane, I., & Chiarella, D. 2023: Sedimentologika : A community-driven diamond open access journal in sedimentology. Sedimentologika, 1.

How to cite: Thomas, C., Vaucher, R., Arrieta-Martinez, M.-C., Chiarella, D., Englert, R., Lloyd, J., Hême de Lacotte, V., Marchegiano, M., Privat, A., and Sabir, F.: Sedimentologika 3 years after the opening : reflecting on diamond open access and scholarly-led ventures in scientific publishing , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17509, https://doi.org/10.5194/egusphere-egu26-17509, 2026.

EGU26-20027 | ECS | Orals | EOS4.1

Critical Sustainability in Geosciences — A praxis 

Janne J. Salovaara and Katja Anniina Lauri

Our justification to critical sustainability in geosciences comes from years of experience in engaging with various branches of geo- and sustainability sciences, predominantly revolving around issues of climate change and aiming to tackle its problematique at the human end—be it, for example, educational or societal. Based on a typology formed we recognise three main classes of critical to consider when conducting research; that the state of the earth and its system is in a critical condition and appears to continue the uncomfortable trend at an accelerating speed; that the contemporary practices of sustainability have plenty to be critical about as the track record of the endeavour of sustainable development and sustainability science can be viewed as substandard; and that the history of science, research and other utilisable forms of knowledge- and sense-making offer countless critical approaches that when considering the two previous points begin to seem like a necessity. 

Based on this justification we suggest a two-fold focus for the initiation of a more critical approach in geosciences as it aims to address issues of sustainability. Firstly, the epistemic foundation of geosciences, again and especially in the context of sustainability, could reflect the empiric-historic roots to consider the ongoing unprecedented phenomena and understanding of it: the duality of historical and predictive is severely contested and limits of our understanding—grasping the unknown-unknowns—are put to task. While the previous point mostly pertains to the world-views on which our research is unboundedly built upon, the critical turn has significant relevance to the practice and aims of sustainability-orientated research, from our position: the praxis—the problems of practice. It appears that, while practising research, we simultaneously exemplify the ideals of science (and sustainability) in a manner where we fail to live up to them—partly as ideals are easily understood as utopian, but more deviantly so if we fail to be critical towards our own practice-shortcomings.  

To operationalise the suggested topic: elaborating on the active praxis of critical sustainability in geosciences, we observe a case of citizen climate change and sustainability responses and perceptions in Finland. Based on a (representative) national survey,  while almost 90% agree to mostly understand what climate change is about, only approximately 35% agree that they themselves are contributing to the problems or see that the challenges they face in their everyday life are related to climate change and sustainability. Here we suggest, as a hopeful initiation of a conversation, that geosciences could ponder on its roles and vices, but moreover the groundbreaking possibilities, when contributing to a critical, palatable and impactful understanding of the Earth System crisis we face and the methodological choices we make while labouring towards this understanding.

How to cite: Salovaara, J. J. and Lauri, K. A.: Critical Sustainability in Geosciences — A praxis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20027, https://doi.org/10.5194/egusphere-egu26-20027, 2026.

At a time when climate complexities, exposure to concomitant natural hazards, accruing physical vulnerabilities across the natural and built environments, and a whirlwind evolution of energy sources all pierce through layered societal fragilities and fraught global equilibria, identifying shared interests can appear a Herculean exercise. This is underscored by unexpected geopolitical tensions and strategic conundrums, bridging human safety and security and raising major questions about the present and future of the Earth system. Social and political polarisations, wavering international policies, and ageing demographics are not helpful.

Also, not only can the circuitous evolutions across the availability and location of natural resources, for today and tomorrow, appear both too “fast” and too “slow” (to either global citizens and/or involved stakeholders), but they reveal the inherent fragility of equilibria once socially assumed to be long-standing or “reliable”. The reality of the 21st century brings an indisputably more kaleidoscopic palette, concealing rising economic and social costs. As always throughout human history, many of these involve fundamental social commons, including seemingly far away or very near ones, like freshwater or critical minerals, whose search for and exploitation evoke vital resources and hidden hazards, often resulting in socio-economic complexities or tensions.

While acknowledging that novel mindsets are needed – now – to advance societies and protect human life, knowledge and cross-disciplinary insight can and should be strategic means to help design peaceful, fruitful prospects that lead to concrete cooperation, locally and beyond. Helping to build a socially aware approach to address the contrasts that energy, climate, and boundaries strain can be challenging but enriching, puzzling but revealing, and disconcerting but illuminating. Above all, contemporary crises at the nexus between climate and resources are multiple, exposing systemic fragilities and delicate, shifting boundaries across risks and resources.

How to cite: Fracassi, U.: Buy Hard: Climate, Hazards, and Natural Resources across Geopolitical fault lines, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20237, https://doi.org/10.5194/egusphere-egu26-20237, 2026.

It is common that research projects related to geoscience require a contribution to social impact. This is often especially true in relation to climate change mitigation and adaptation. From large-scale science-policy projects to participatory citizen workshops, scholars do their best to understand and professionally execute collaboration and outreach strategies. I argue that despite of the benefits, the process of social impact is largely misunderstood, undervalued and poorly resourced in academia. This can lead to negative effects on desired social impacts, on reseachers’ well-being, on stakeholder experiences and on resources aimed at important basic research. To improve the situation, social impact of research should not be diminished but rather rethought in a way that properly meets the standards of professional ethics and ethics related to collaboration between different sectors of society. The term impact washing (c.f. greenwashing) is used here to refer to providing false, ineffective, irrelevant and vague promises, information and actions to promote social impact to improve your own status, get funding and to distract attention away from concrete and sustainable action.

The topic is approached by providing examples of practical work with transdisciplinary projects in the Finnish academia and beyond, especially in the realm of geosciences and climate change. This presentation aims to act as a conversation starter and to focus on practical steps that we could take to improve social impact and move away from tick-the-box impact strategies. Such steps might include shifting the focus of implementing social impact work from researchers to professional facilitators and societal experts, education, and rethinking funding models and career paths in the academia. Coming from an ex-ethics researcher point of view, the presentation also provides simple tools that can help researchers rethink their work in the context of larger societal discussion and ethical questions. We will look into to this via questions such as: What is the resposibility of institutions and researchers in choosing which type of social impact to focus (or not focus) on? What consequences can false promises of social impact or poorly executed social impact initiatives have on climate change, policies and academia? What ethical concerns are related to interactions between disciplinaries, sectors, communities and individuals?  

How to cite: Rantanen, R.: Social impact or impact washing? The case for a deeper ethical understanding and concrete action , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20469, https://doi.org/10.5194/egusphere-egu26-20469, 2026.

EGU26-21044 | Orals | EOS4.1

Beyond Scientific Neutrality: Ethical Responsibility and Geopolitical Accountability in Public Research Institutions 

Stefano Corradini, Daniele Andronico, Carlo Alberto Brunori, Gianfilippo De Astis, Raffaele Di Stefano, Claudia D'Oriano, Valentino Lauciani, Tomaso Esposti Ongaro, Chiara Montagna, Rosa Nappi, Rosella Nave, Paolo Perfetti, Monia Procesi, Dario Stelitano, and Manuela Volpe

In the contemporary geopolitical landscape, the view of science as a "neutral" space, detached from political and ethical implications, is increasingly being challenged by members of the scientific community. This contribution analyzes the mobilization within the Italian National Institute of Geophysics and Volcanology (INGV) and other Public Research Institutions (EPRs) following the escalation of violence in Southwest Asia amid rising tensions across Eurasia and beyond.

Starting from an open letter signed by over 400 researchers and staff members, the movement demands a paradigm shift: from a passive "scientific diplomacy" to an active "ethical accountability". The proponents argue that research institutions have a direct responsibility in the construction of a democratic society that respects human rights and international law. The mobilization specifically addresses the contradictions of maintaining cooperation agreements with institutions directly or indirectly involved in documented violations of international humanitarian law, particularly in the context of the Gaza Strip and the West Bank.

Key issues raised include the need for:

Ethical Procurement and Due Diligence: Implementing protocols to prevent complicity with entities involved in conflicts condemned by the UN.

Institutional Accountability: Challenging the disparity in institutional responses to different global conflicts (e.g., Ukraine vs. Palestine).

Individual Conscience: Proposing the inclusion of "conscientious objection" for researchers regarding dual-use projects or collaborations with ethically compromised entities.

Scientific monitoring and long-term analysis: Using scientific expertise to monitor the direct effects of war and analyze its long-term consequences. This includes assessing the environmental legacy of conflict, such as the massive production of debris (estimated at more than 61 million tons in Gaza) and the severe contamination of soil and water resources.

Support and academic cooperation: Actively promoting collaborations, mobility, and specialization programs with academic communities (students, research groups, and faculty) in regions affected by conflict, political instability, or documented severe human rights violations, in line with the principles of international academic solidarity.

Through the lens of this institutional struggle, the presentation explores the tension between the "mission" of research entities (promotion of knowledge) and their ethical obligations as public actors. It concludes by proposing the establishment of independent Ethics Committees that go beyond "research integrity" (avoiding fraud) to ensure "research morality" (avoiding complicity). Scientific practice is never politically neutral and silence in the face of atrocities is a form of institutional connivance.

How to cite: Corradini, S., Andronico, D., Brunori, C. A., De Astis, G., Di Stefano, R., D'Oriano, C., Lauciani, V., Esposti Ongaro, T., Montagna, C., Nappi, R., Nave, R., Perfetti, P., Procesi, M., Stelitano, D., and Volpe, M.: Beyond Scientific Neutrality: Ethical Responsibility and Geopolitical Accountability in Public Research Institutions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21044, https://doi.org/10.5194/egusphere-egu26-21044, 2026.

EGU26-21402 | Posters on site | EOS4.1

Practicing geoethics in Earth system modeling 

Iris Ehlert

Geoethics is commonly discussed as a field concerned with principles, responsibilities, and normative guidance for geoscientists in their engagement with society and the environment. In this contribution, I take a complementary perspective and explore geoethics as it is lived and negotiated in everyday scientific coordination. Drawing on ethnographic insights from my work as process coordinator within the German Earth System Modeling initiative natESM, I approach geoethics as a situated practice that unfolds in concrete decisions, relationships, and institutional processes rather than as a fixed moral framework.

I focus on moments where technical, organizational, political, and ethical considerations intersect in particularly tangible ways. These include decisions about which numerical models can be sustainably supported within a national infrastructure, the deliberate shift of technical responsibility toward Research Software Engineers to ensure long-term maintainability, and the continuous effort to keep scientific communities involved even when specific models cannot be fully integrated. In this context, the sprint process becomes a central ethnographic site. It brings together different professional cultures, expectations, and temporalities, especially those of scientists and RSEs, and turns collaboration itself into a space where responsibility, care, and authority are constantly renegotiated.

Particular attention is given to the emotional and political work involved in communicating limits, such as defined breakpoints in projects, uncertainty about future trajectories, and the need for redirection. These moments are rarely framed as ethical decisions, yet they profoundly affect professional identities and senses of belonging within the Earth system modeling community. They gain further complexity in an international context shaped by instability and asymmetry, where long-standing partners may face institutional uncertainty while their expertise remains crucial for transnational collaboration.

From this perspective, geoethics appears less as a matter of compliance or formal codes of conduct and more as a form of relational and infrastructural work. It involves balancing care for people, responsibility for public resources, and commitments to scientific quality and sustainability in situations where no solution is purely technical.

By foregrounding coordination and sprint-based collaboration as ethnographic sites of ethical practice, I argue for a broadened understanding of geoethics that includes the mundane and often invisible labor of aligning infrastructures, expertise, and expectations in contemporary geoscience. I propose political ethnography as a way to make visible how ethical responsibility in large-scale scientific initiatives is not only articulated in principles, but enacted in processes.

How to cite: Ehlert, I.: Practicing geoethics in Earth system modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21402, https://doi.org/10.5194/egusphere-egu26-21402, 2026.

EGU26-21666 | Orals | EOS4.1

From Polar Science to Public Action: 30 Years of the Ukrainian Antarctic Station Akademik Vernadsky in Times of Polycrisis 

Svitlana Krakovska, Anastasiia Chyhareva, Olena Marushevska, Anna Torgonenko, and Evgen Dykyi

This year the Ukrainian Antarctic Station “Akademik Vernadsky” (UASAV) celebrates its 30-year anniversary as a Ukrainian research facility. Formerly the British Antarctic Survey (BAS) station Faraday, it hosts the longest uninterrupted meteorological observations in Antarctica, with records beginning in 1947. Ukraine assumed responsibility for the station in 1996 after signing a Memorandum with BAS committing to the continuation of core observations at least 10 years. Thereby preserving and enhancing one of the most valuable long-term climate datasets in the Southern Hemisphere.

Over three decades, UASAV has developed into a multidisciplinary research platform contributing to global understanding of interactions within climate system components: atmosphere–ocean–cryosphere-biosphere-lithosphere interactions. Particularly, Antarctic ecosystems are in focus of UASAV research.

Ukrainian scientists actively participate in major international initiatives. Engagement in YOPP-SH (Year of Polar Prediction – Southern Hemisphere) contributes to international efforts to improve weather and climate forecasting through coordinated polar observations particularly in winter with radio sounding of atmosphere which UASAV contributed over 10% of all additional launches among all Antarctic stations. Within HORIZON 2020 PolarRES, research focused on improving polar climate predictability and understanding polar feedbacks in the Earth system. The ongoing OCEAN ICE project addresses coupled ocean–sea ice processes and their role in climate regulation; as a Horizon 2020 project, it places strong emphasis on communication to demonstrate to European society the value of polar research for climate knowledge, environmental policy, and sustainability. Participation in ERASMUS+ project OPTIMA supported integrated Antarctic observations and modeling into Open Science standards particularly in displaced Ukrainian universities.

Despite the ongoing russian aggression against Ukraine and the broader context of global polycrisis, the National Antarctic Scientific Center (NASC) of Ukraine continues to ensure uninterrupted station operations, long-term observations, and international scientific cooperation, particularly within the Scientific Committee on Antarctic Research (SCAR). The high level of Ukrainian Antarctic research is further supported by the research vessel Noosfera (formerly the British James Clark Ross), enabling marine expeditions, oceanographic measurements, and logistical independence.

Beyond research, NASC actively develops climate and polar science communication through traditional media and social platforms, organizes educational outreach with schools, and conducts national photo and video competitions. These activities engage younger generations, foster environmental awareness, and promote values of nature conservation and geoethical responsibility. The 30-year history of UASAV illustrates how sustained science, education, and communication can transform crisis into action and reinforce the societal relevance of polar research.

How to cite: Krakovska, S., Chyhareva, A., Marushevska, O., Torgonenko, A., and Dykyi, E.: From Polar Science to Public Action: 30 Years of the Ukrainian Antarctic Station Akademik Vernadsky in Times of Polycrisis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21666, https://doi.org/10.5194/egusphere-egu26-21666, 2026.

EGU26-21981 | ECS | Orals | EOS4.1

Political Education in Science: Two Years of Palestine Space Institute 

Divya M Persaud, Sahba El-Shawa, Aj Link, and Giuliana Rotola

The Palestine Space Institute (PSI) is a pioneering think tank established to challenge and disrupt the prevailing colonial and militaristic narrative in the space industry. An important aspect of this vision is to equip community members with cross-disciplinary tools to understand science in society and disentangle power, hierarchy, and the interplay between geopolitics and science. We propose an urgent reframing of science communication as political education, and offer reflections from PSI’s implementation of this approach since 2023 and the increasing need for such interventions due to current and emerging geopolitical conditions. These activities include seminars and discussion spaces with researchers, community partners, and global stakeholders; the launch of the Space and Military-Industrial Complex Database, a social-scientific resource built for scientists; an in-person community-building event; and research activities centered on material, ethical, and political examination of the dual-use paradigm in the space industry, including in the use of EO satellites and data. We also present how conceptual interventions, such as understanding, documenting, and obstructing “spacewashing,” can disrupt how science is used to manufacture consent for colonial violence.

PSI’s framework equips STEM practitioners, educators, students, and broader audiences with a holistic understanding of the geopolitical role of science, with participatory, action-centered, and community-building outcomes. This approach also applies characteristics of traditional science communication to improve political literacy for the public. We argue that intellectual resistance is a crucial component of resisting colonialism and neocolonialism, both of which are upheld by science and the false narrative of apolitical science and technology.

How to cite: Persaud, D. M., El-Shawa, S., Link, A., and Rotola, G.: Political Education in Science: Two Years of Palestine Space Institute, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21981, https://doi.org/10.5194/egusphere-egu26-21981, 2026.

EGU26-22232 | Posters on site | EOS4.1

Community-based propagation: Systems science insights for rapid scaling of climate action and cooperation 

Juliette Rooney-Varga, Lucia Cheney, Thysan Sam, and Sothea Chiemruom

Research shows that community-based propagation is the most effective strategy for scaling innovations in sustainability education in formal settings like universities. It builds a community of “ambassadors” who share the innovation with their social networks, for whom they serve as trusted messengers. A backbone organization facilitates and elevates ambassadors’ work, spurring interest in joining the community and thereby creating a reinforcing feedback loop that spreads the innovation.

Systems analysis shows that community-based propagation can generate exponential scaling of adoption when word-of-mouth diffusion and direct outreach have little impact. Like educational innovations, efforts to scale climate action via word-of-mouth and direct outreach often fail, even if those actions carry economic and health benefits.

Here, we share initial findings from an ongoing community-based propagation effort to accelerate participation in residential decarbonization among an immigrant community in the US. Working in partnership with a local civil society organization (CSO), we built a program that supports community members who learn about energy efficiency and decarbonization incentives, participate in them, and share their experiences with their own social networks in culturally and in the community’s primary language (here, Khmer). Ambassadors’ work is celebrated by their peers and the CSO, creating a reinforcing feedback loop that amplifies their efforts as more community members become interested in the ambassador program and its work.

We are currently assessing how this approach can be replicated and scaled to other communities and contexts. This largely bottom-up strategy builds trust and participation in climate solutions, which is critically important in a democracy. Perhaps equally importantly, it also strengthens social fabric and civic engagement, which, in turn, strengthen democracy.

How to cite: Rooney-Varga, J., Cheney, L., Sam, T., and Chiemruom, S.: Community-based propagation: Systems science insights for rapid scaling of climate action and cooperation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22232, https://doi.org/10.5194/egusphere-egu26-22232, 2026.

EGU26-22677 | Posters on site | EOS4.1

Designing for impact: How interactive climate simulations foster learning, engagement and action 

Florian Kapmeier, Andrew Jones, and John Sterman

Policy design in climate and sustainability is hindered by nonlinear feedbacks, long delays, and uncertainty that limit the effectiveness of traditional information‑centric communication. The manuscript examines how simulation models can be designed and deployed to support learning and decision‑making by integrating analytical rigor, model transparency, and structured stakeholder engagement. Using the C‑ROADS and En‑ROADS climate policy simulators and insights from the MIT Climate Pathways Project (CPP), the paper distills three design principles for impactful simulation‑based learning environments:

  • (1) rigorous, empirically grounded modeling with comprehensive simulator transparency;
  • (2) user‑centered interface design that scaffolds discovery while preserving access to underlying structure and assumptions; and
  • (3) facilitated, interactive engagements that enable participants to test mental models through experimentation and social learning.

First, rigorous modeling emphasizes the necessity of formal testing and documentation to build confidence in policy insights. En‑ROADS and C‑ROADS are developed iteratively, grounded in the scientific literature, are calibrated to historic data, and their future behavior is tested against the climate scenarios in the Network for Greening the Financial System (NGFS) and other widely-used Integrated Assessment Models (IAMs), GCAM, MESSAGE-GLOBIUM, and REMIND-MAgPIE. Multi‑layered documentation—including an online technical reference guide, simulator behavior comparisons, and easily accessible explanations—enables scrutiny of model mechanisms, parameters, and simulator behavior. Users can interrogate and vary assumptions to explore robustness and uncertainty.

Second, user-centered interface design concerns design for “guided discovery.” The simulator’s layered interface presents key outcomes and policy levers in an intuitive top layer while offering advanced controls (≈250 parameters) and extensive visualization (≈180 graphs). Real‑time, browser‑based computation supports rapid scenario exploration across devices and languages, enabling both individual and group use cases. Iterative usability testing ensures that the interface reduces cognitive load while preserving analytical depth.

Third, facilitated, interactive engagements include the design of engagement protocols that combine analytic reasoning with experiential, collaborative learning. We highlight three formats:

  • the World Climate Simulation with C‑ROADS;
  • the Climate Action Simulation with En‑ROADS; and
  • the En‑ROADS Climate Workshop for policy briefings.

These interactive engagements prompt participants to articulate expectations before running scenarios, confront divergences between expectations and simulated outcomes, and engage in structured discussion and reflection. Such practices surface misconceptions about leverage points (e.g., relative effects of pricing emissions, efficiency improvements, carbon dioxide removal, afforestation, or bioenergy), foster systems thinking, and support informed action.

The CPP and the broader community infrastructure amplify reach and consistency. As of December 2025, more than 472,000 participants in 183 countries—including over 23,000 leaders in government, business, and civil society—have engaged with the simulators. A global network of En‑ROADS Climate Ambassadors (over 940 in 90+ countries) has collectively engaged upwards of 354,000 people through a structured training and certification program, extending the implementation of the design principles in diverse contexts.

The paper concludes with a conceptual model for future empirical research that hypothesizes how model rigor and transparency and interface usability affect learning and action via the mediating mechanism of facilitated, interactive simulation‑based experience. This framework supports systematic evaluation of simulator design and engagement quality, informing the development of SD‑based tools and protocols that can strengthen climate literacy, improve policy reasoning, and support evidence‑based action.

How to cite: Kapmeier, F., Jones, A., and Sterman, J.: Designing for impact: How interactive climate simulations foster learning, engagement and action, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22677, https://doi.org/10.5194/egusphere-egu26-22677, 2026.

EGU26-22759 | Orals | EOS4.1

Interactive simulation with En-ROADS spurs climate action among decision-makers 

Juliette Rooney-Varga, Lucia Cheney, Rachel Coleman, Andrew Jones, Florian Kapmeier, Peyton Newsome, Krystal Noiseux, Bethany Patten, Kenneth Rath, and John Sterman

Effective climate mitigation requires rapid, evidence‑based decisions across government, business, and civil society. Yet widespread misconceptions, disinformation, and insufficient understanding of high‑impact climate solutions continue to impede meaningful action among leaders. Traditional risk communication approaches often fail to overcome these barriers, particularly where climate change is politically polarized or socially contested. Here, we investigate whether interactive climate policy simulations with the En‑ROADS model can strengthen leaders’ knowledge, affective engagement, and motivation to take climate action.

Using a mixed‑methods design, we engaged 949 participants in 37 En‑ROADS workshops and Climate Action Simulations, an interactive role-play designed around the En-ROADS simulator. Participants in the role-play are assigned to different delegations at a mock UN climate conference, including governments, representatives from conventional energy, clean tech, industry and finance, and forest and agriculture. Pre‑/post‑survey responses (N≈290 matched) and semi‑structured interviews (N=42) were used to evaluate changes in knowledge, affect, and intended actions.

Survey‑based results show that interactive engagements significantly improved participants’ understanding of which climate policies have high versus low mitigation impact. Participants made substantial gains in identifying high‑impact solutions such as carbon pricing, cutting methane and non‑CO₂ greenhouse gases, and improving building energy efficiency. Participants also improved their ability to identify which solutions have little impact, even when those solutions are commonly favored. Such low-impact solutions do little to reduce near-term emissions and include afforestation, soil carbon sequestration, and technological carbon removal.

Engagement with En‑ROADS also increased participants’ affective engagement with climate change. Participants reported statistically significant increases in both the personal importance they attach to the issue and their sense of empowerment to contribute to climate solutions. These effects were similar across virtual and in‑person workshops, indicating a potential to scale across formats.

Interview‑based analyses confirm the survey results. Interviewees described the simulation experience as improving their understanding of the urgency, scale, and systemic nature of the climate challenge. Many emphasized that En‑ROADS’s interactive features made complex dynamics of the climate and energy systems easier to grasp than other modes of learning. The workshops generated strong emotional responses, including a sense of urgency and hope, which, in turn, motivated participants to act. Social interactions during the sessions played a critical role: collaborative scenario development fostered a sense of collective efficacy, reinforcing participants’ willingness to advocate for organizational or policy change.

Most interviewees reported taking or planning climate‑related actions after to the workshop. These actions include reducing their personal emissions, strategic organizational changes (e.g., establishing an internal carbon price or shifting investment strategies), and advocating for governmental or corporate policy change. Participants who were focused on sustainability prior to En-ROADS simulations also made gains, reporting improved clarity on high‑impact solutions and a strengthened sense of collective efficacy for climate action.

Overall, the results demonstrate that interactive En‑ROADS workshops can improve leaders’ understanding of effective climate mitigation strategies, activate emotional engagement, and motivate both individual and institutional climate action. This suggests that simulation‑based approaches can help bridge the persistent gap between climate knowledge and climate action among key societal actors.

How to cite: Rooney-Varga, J., Cheney, L., Coleman, R., Jones, A., Kapmeier, F., Newsome, P., Noiseux, K., Patten, B., Rath, K., and Sterman, J.: Interactive simulation with En-ROADS spurs climate action among decision-makers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22759, https://doi.org/10.5194/egusphere-egu26-22759, 2026.

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